HBK Price Action Strategy HBKPrice Action Strategy for XAUUSD with a Favorable Risk-Reward Ratio
Understanding the Strategy:
This strategy leverages price action principles to identify potential entry and exit points for XAUUSD on a 5-minute timeframe. The core idea is to identify price action patterns that suggest a high probability of a particular direction, and then to set stop-loss and take-profit levels to manage risk and reward.
Key Price Action Patterns to Watch:
Pin Bar: A pin bar is a candlestick with a long wick in one direction and a small body in the opposite direction. It often signals a reversal in the current trend.
Inside Bar: An inside bar forms when the current candle's high is lower than the previous candle's high, and the current candle's low is higher than the previous candle's low. It often indicates indecision or a potential breakout.
Engulfing Pattern: An engulfing pattern occurs when the current candle completely engulfs the previous candle. A bullish engulfing pattern signals a potential uptrend, while a bearish engulfing pattern signals a potential downtrend.
Risk-Reward Ratio:
A favorable risk-reward ratio is crucial for long-term trading success. Aim for a minimum risk-reward ratio of 1:2, meaning you risk $1 to potentially gain $2.
Entry and Exit Signals:
Long Entry:
Identify a bullish pin bar or engulfing pattern.
Wait for a confirmation candle to close above the pin bar's high or the engulfing pattern's high.
Place a stop-loss below the recent swing low.
Set a take-profit target at a key resistance level or a multiple of the stop-loss distance.
Short Entry:
Identify a bearish pin bar or engulfing pattern.
Wait for a confirmation candle to close below the pin bar's low or the engulfing pattern's low.
Place a stop-loss above the recent swing high.
Set a take-profit target at a key support level or a multiple of the stop-loss distance.
Additional Tips:
Use Support and Resistance Levels: Identify key support and resistance levels to set your stop-loss and take-profit targets.
Consider Market Sentiment: Pay attention to market sentiment and news events that may impact gold prices.
Manage Risk: Always use stop-loss orders to limit potential losses.
Be Patient: Don't force trades. Wait for high-probability setups.
Practice Discipline: Stick to your trading plan and avoid impulsive decisions.
Remember:
Price action trading requires practice and patience.
Backtest your strategy on historical data to refine your approach.
Always adapt to changing market conditions.
By following these guidelines and practicing disciplined risk management, you can increase your chances of success in trading XAUUSD on a 5-minute timeframe.
Search in scripts for "pattern"
[Defaust] Fractals Fractals Indicator
Overview
The Fractals Indicator is a technical analysis tool designed to help traders identify potential reversal points in the market by detecting fractal patterns. This indicator is a fork of the original fractals indicator, with adjustments made to the plotting for enhanced visual clarity and usability.
What Are Fractals?
In trading, a fractal is a pattern consisting of five consecutive bars (candlesticks) that meet specific conditions:
Up Fractal (Potential Sell Signal): Occurs when a high point is surrounded by two lower highs on each side.
Down Fractal (Potential Buy Signal): Occurs when a low point is surrounded by two higher lows on each side.
Fractals help traders identify potential tops and bottoms in the market, signaling possible entry or exit points.
Features of the Indicator
Customizable Periods (n): Allows you to define the number of periods to consider when detecting fractals, offering flexibility to adapt to different trading strategies and timeframes.
Enhanced Plotting Adjustments: This fork introduces adjustments to the plotting of fractal signals for better visual representation on the chart.
Visual Signals: Plots up and down triangles on the chart to signify down fractals (potential bullish signals) and up fractals (potential bearish signals), respectively.
Overlay on Chart: The fractal signals are overlaid directly on the price chart for immediate visualization.
Adjustable Precision: You can set the precision of the plotted values according to your needs.
Pine Script Code Explanation
Below is the Pine Script code for the Fractals Indicator:
//@version=5 indicator(" Fractals", shorttitle=" Fractals", format=format.price, precision=0, overlay=true)
// User input for the number of periods to consider for fractal detection n = input.int(title="Periods", defval=2, minval=2)
// Initialize flags for up fractal detection bool upflagDownFrontier = true bool upflagUpFrontier0 = true bool upflagUpFrontier1 = true bool upflagUpFrontier2 = true bool upflagUpFrontier3 = true bool upflagUpFrontier4 = true
// Loop through previous and future bars to check conditions for up fractals for i = 1 to n // Check if the highs of previous bars are less than the current bar's high upflagDownFrontier := upflagDownFrontier and (high < high ) // Check various conditions for future bars upflagUpFrontier0 := upflagUpFrontier0 and (high < high ) upflagUpFrontier1 := upflagUpFrontier1 and (high <= high and high < high ) upflagUpFrontier2 := upflagUpFrontier2 and (high <= high and high <= high and high < high ) upflagUpFrontier3 := upflagUpFrontier3 and (high <= high and high <= high and high <= high and high < high ) upflagUpFrontier4 := upflagUpFrontier4 and (high <= high and high <= high and high <= high and high <= high and high < high )
// Combine the flags to determine if an up fractal exists flagUpFrontier = upflagUpFrontier0 or upflagUpFrontier1 or upflagUpFrontier2 or upflagUpFrontier3 or upflagUpFrontier4 upFractal = (upflagDownFrontier and flagUpFrontier)
// Initialize flags for down fractal detection bool downflagDownFrontier = true bool downflagUpFrontier0 = true bool downflagUpFrontier1 = true bool downflagUpFrontier2 = true bool downflagUpFrontier3 = true bool downflagUpFrontier4 = true
// Loop through previous and future bars to check conditions for down fractals for i = 1 to n // Check if the lows of previous bars are greater than the current bar's low downflagDownFrontier := downflagDownFrontier and (low > low ) // Check various conditions for future bars downflagUpFrontier0 := downflagUpFrontier0 and (low > low ) downflagUpFrontier1 := downflagUpFrontier1 and (low >= low and low > low ) downflagUpFrontier2 := downflagUpFrontier2 and (low >= low and low >= low and low > low ) downflagUpFrontier3 := downflagUpFrontier3 and (low >= low and low >= low and low >= low and low > low ) downflagUpFrontier4 := downflagUpFrontier4 and (low >= low and low >= low and low >= low and low >= low and low > low )
// Combine the flags to determine if a down fractal exists flagDownFrontier = downflagUpFrontier0 or downflagUpFrontier1 or downflagUpFrontier2 or downflagUpFrontier3 or downflagUpFrontier4 downFractal = (downflagDownFrontier and flagDownFrontier)
// Plot the fractal symbols on the chart with adjusted plotting plotshape(downFractal, style=shape.triangleup, location=location.belowbar, offset=-n, color=color.gray, size=size.auto) plotshape(upFractal, style=shape.triangledown, location=location.abovebar, offset=-n, color=color.gray, size=size.auto)
Explanation:
Input Parameter (n): Sets the number of periods for fractal detection. The default value is 2, and it must be at least 2 to ensure valid fractal patterns.
Flag Initialization: Boolean variables are used to store intermediate conditions during fractal detection.
Loops: Iterate through the specified number of periods to evaluate the conditions for fractal formation.
Conditions:
Up Fractals: Checks if the current high is greater than previous highs and if future highs are lower or equal to the current high.
Down Fractals: Checks if the current low is lower than previous lows and if future lows are higher or equal to the current low.
Flag Combination: Logical and and or operations are used to combine the flags and determine if a fractal exists.
Adjusted Plotting:
The plotting of fractal symbols has been adjusted for better alignment and visual clarity.
The offset parameter is set to -n to align the plotted symbols with the correct bars.
The color and size have been fine-tuned for better visibility.
How to Use the Indicator
Adding the Indicator to Your Chart
Open TradingView:
Go to TradingView.
Access the Chart:
Click on "Chart" to open the main charting interface.
Add the Indicator:
Click on the "Indicators" button at the top.
Search for " Fractals".
Select the indicator from the list to add it to your chart.
Configuring the Indicator
Periods (n):
Default value is 2.
Adjust this parameter based on your preferred timeframe and sensitivity.
A higher value of n considers more bars for fractal detection, potentially reducing the number of signals but increasing their significance.
Interpreting the Signals
– Up Fractal (Downward Triangle): Indicates a potential price reversal to the downside. May be used as a signal to consider exiting long positions or tightening stop-loss orders.
– Down Fractal (Upward Triangle): Indicates a potential price reversal to the upside. May be used as a signal to consider entering long positions or setting stop-loss orders for short positions.
Trading Strategy Suggestions
Up Fractal Detection:
The high of the current bar (n) is higher than the highs of the previous two bars (n - 1, n - 2).
The highs of the next bars meet certain conditions to confirm the fractal pattern.
An up fractal symbol (downward triangle) is plotted above the bar at position n - n (due to the offset).
Down Fractal Detection:
The low of the current bar (n) is lower than the lows of the previous two bars (n - 1, n - 2).
The lows of the next bars meet certain conditions to confirm the fractal pattern.
A down fractal symbol (upward triangle) is plotted below the bar at position n - n.
Benefits of Using the Fractals Indicator
Early Signals: Helps in identifying potential reversal points in price movements.
Customizable Sensitivity: Adjusting the n parameter allows you to fine-tune the indicator based on different market conditions.
Enhanced Visuals: Adjustments to plotting improve the clarity and readability of fractal signals on the chart.
Limitations and Considerations
Lagging Indicator: Fractals require future bars to confirm the pattern, which may introduce a delay in the signals.
False Signals: In volatile or ranging markets, fractals may produce false signals. It's advisable to use them in conjunction with other analysis tools.
Not a Standalone Tool: Fractals should be part of a broader trading strategy that includes other indicators and fundamental analysis.
Best Practices for Using This Indicator
Combine with Other Indicators: Use in combination with trend indicators, oscillators, or volume analysis to confirm signals.
Backtesting: Before applying the indicator in live trading, backtest it on historical data to understand its performance.
Adjust Periods Accordingly: Experiment with different values of n to find the optimal setting for the specific asset and timeframe you are trading.
Disclaimer
The Fractals Indicator is intended for educational and informational purposes only. Trading involves significant risk, and you should be aware of the risks involved before proceeding. Past performance is not indicative of future results. Always conduct your own analysis and consult with a professional financial advisor before making any investment decisions.
Credits
This indicator is a fork of the original fractals indicator, with adjustments made to the plotting for improved visual representation. It is based on standard fractal patterns commonly used in technical analysis and has been developed to provide traders with an effective tool for detecting potential reversal points in the market.
principles of fu### Detailed Description of the Script
#### **Title:**
"**Bullish and Bearish Engulfing with Conditional Rays and Wick Markers**"
#### **Purpose:**
This Pine Script indicator identifies and marks **bullish and bearish engulfing candle patterns** on a price chart. Additionally, it plots **two rays** (lines) for each detected pattern: one at the wick's extremity and another at the midpoint of the wick and the candle body. The indicator manages the display of these rays based on specific conditions, ensuring they remain on the chart until price action invalidates them.
#### **Components and Functionality:**
1. **Inputs and Customization:**
- **Lookback Period:** The script looks back 100 candles to manage and maintain rays on the chart.
- **Ray Colors:**
- `Bullish Ray Color`: Grey (default) for the ray at the low wick of the bullish engulfing candle.
- `Bearish Ray Color`: Grey (default) for the ray at the high wick of the bearish engulfing candle.
- `Bullish Midpoint Ray Color`: Blue (default) for the ray plotted at the midpoint between the body low and the low wick of the bullish engulfing candle.
- `Bearish Midpoint Ray Color`: Orange (default) for the ray plotted at the midpoint between the body high and the high wick of the bearish engulfing candle.
2. **Engulfing Candle Detection:**
- **Bullish Engulfing:**
- Occurs when a previous bearish candle (closing lower than its open) is followed by a candle that closes above the high of the previous candle and has a low equal to or lower than the previous candle's low.
- **Bearish Engulfing:**
- Occurs when a previous bullish candle (closing higher than its open) is followed by a candle that closes below the low of the previous candle and has a high equal to or higher than the previous candle's high.
3. **Ray Plotting:**
- **Wick Rays:**
- For a **bullish engulfing candle**, a ray is plotted at the **low wick** of the bullish candle.
- For a **bearish engulfing candle**, a ray is plotted at the **high wick** of the bearish candle.
- **Midpoint Rays:**
- For a **bullish engulfing candle**, a midpoint ray is plotted at the midpoint between the **body low** (the lower of the open or close) and the **low wick**.
- For a **bearish engulfing candle**, a midpoint ray is plotted at the midpoint between the **body high** (the higher of the open or close) and the **high wick**.
4. **Ray Management and Deletion:**
- **Bullish Rays:**
- The rays (both wick and midpoint) are removed if a subsequent candle's close falls below the **bullish ray** level (low wick of the bullish engulfing candle).
- **Bearish Rays:**
- The rays (both wick and midpoint) are removed if a subsequent candle's close rises above the **bearish ray** level (high wick of the bearish engulfing candle).
5. **Visualization on the Chart:**
- **Bullish Engulfing Signal:**
- A **plus sign** in **dark grey** is plotted below the candle to signify a detected bullish engulfing pattern.
- **Bearish Engulfing Signal:**
- An **X** in **dark grey** is plotted above the candle to signify a detected bearish engulfing pattern.
### **Overall Workflow:**
1. The script detects bullish and bearish engulfing patterns based on specific candle relationships.
2. It then plots rays corresponding to the wicks and midpoints of these engulfing candles.
3. These rays remain on the chart until the price invalidates them, ensuring that only relevant and active levels are displayed to the trader.
This indicator provides traders with a visual tool to identify key reversal patterns (engulfing patterns) and the critical price levels associated with them, which can be useful for making trading decisions.
chartpatternsLibrary "chartpatterns"
Library having complete chart pattern implementation
method draw(this)
draws pattern on the chart
Namespace types: Pattern
Parameters:
this (Pattern) : Pattern object that needs to be drawn
Returns: Current Pattern object
method erase(this)
erase the given pattern on the chart
Namespace types: Pattern
Parameters:
this (Pattern) : Pattern object that needs to be erased
Returns: Current Pattern object
method findPattern(this, properties, patterns)
Find patterns based on the currect zigzag object and store them in the patterns array
Namespace types: zg.Zigzag
Parameters:
this (Zigzag type from Trendoscope/ZigzagLite/2) : Zigzag object containing pivots
properties (PatternProperties) : PatternProperties object
patterns (Pattern ) : Array of Pattern objects
Returns: Current Pattern object
PatternProperties
Object containing properties for pattern scanning
Fields:
offset (series int) : Zigzag pivot offset. Set it to 1 for non repainting scan.
numberOfPivots (series int) : Number of pivots to be used in pattern search. Can be either 5 or 6
errorRatio (series float) : Error Threshold to be considered for comparing the slope of lines
flatRatio (series float) : Retracement ratio threshold used to determine if the lines are flat
checkBarRatio (series bool) : Also check bar ratio are within the limits while scanning the patterns
barRatioLimit (series float) : Bar ratio limit used for checking the bars. Used only when checkBarRatio is set to true
avoidOverlap (series bool)
patternLineWidth (series int) : Line width of the pattern trend lines
showZigzag (series bool) : show zigzag associated with pattern
zigzagLineWidth (series int) : line width of the zigzag lines. Used only when showZigzag is set to true
zigzagLineColor (series color) : color of the zigzag lines. Used only when showZigzag is set to true
showPatternLabel (series bool) : display pattern label containing the name
patternLabelSize (series string) : size of the pattern label. Used only when showPatternLabel is set to true
showPivotLabels (series bool) : Display pivot labels of the patterns marking 1-6
pivotLabelSize (series string) : size of the pivot label. Used only when showPivotLabels is set to true
pivotLabelColor (series color) : color of the pivot label outline. chart.bg_color or chart.fg_color are the appropriate values.
allowedPatterns (bool ) : array of bool encoding the allowed pattern types.
themeColors (color ) : color array of themes to be used.
Pattern
Object containing Individual Pattern data
Fields:
pivots (Pivot type from Trendoscope/ZigzagLite/2) : array of Zigzag Pivot points
trendLine1 (Line type from Trendoscope/LineWrapper/1) : First trend line joining pivots 1, 3, 5
trendLine2 (Line type from Trendoscope/LineWrapper/1) : Second trend line joining pivots 2, 4 (, 6)
properties (PatternProperties) : PatternProperties Object carrying common properties
patternColor (series color) : Individual pattern color. Lines and labels will be using this color.
ratioDiff (series float) : Difference between trendLine1 and trendLine2 ratios
zigzagLine (series polyline) : Internal zigzag line drawing Object
pivotLabels (label ) : array containning Pivot labels
patternLabel (series label) : pattern label Object
patternType (series int) : integer representing the pattern type
patternName (series string) : Type of pattern in string
Trend-based Price Action StrategyThis is a strategy script that combines trend-based price action analysis with the Relative Strength Index (RSI) and Exponential Moving Averages (EMA) as trend filters. Here's a summary of the key components and logic:
Price Action Candlestick Patterns:
Bullish patterns: Engulfing candle and Morning Star.
Bearish patterns: Engulfing candle and Evening Star.
RSI Integration:
RSI is used to identify overbought and oversold conditions.
EMA Trend Filter:
Three EMAs with different periods: Fast , Medium and Slow.
Long trend condition occur when the fast EMA is above the medium and the medium is above the slow EMA.
Short trend condition occur when the slow EMA is above the medium and the medium is above the fast EMA.
Long entry conditions: RSI is oversold, RSI is decreasing, bullish candlestick pattern, and EMA trend filter conditions are met.
Short entry conditions: RSI is overbought, RSI is decreasing, bearish candlestick pattern, and EMA trend filter conditions are met.
Exit conditions:
Take profit or stop loss is reached.
Plotting:
Signals are plotted on the chart when entry conditions are met.
EMAs are plotted when the EMA trend filter is enabled.
This script aims to capture potential trend reversal points based on a combination of candlestick patterns, RSI, and EMA trend analysis.
Traders can use this script as a starting point for further customization or as a reference for developing their own trading strategies. It's important to note that past performance is not indicative of future results, and thorough testing and validation are recommended before deploying any trading strategy.
[CP]Pivot Boss Candlestick Scanner - No Repainting This indicator is based on the high probability candlestick patterns described in the ’Secrets of a Pivot Boss’ book.
The indicator does not suffer from repainting.
I have kept this indicator open source, so that you can take this indicator and design a complete trading system around it.
Although the patterns have some statistical edge in the markets, blindly using them as Buy/Sell Indicators will certainly result in a heavy loss.
I like some of these setups more than others, and I have listed them in the order of my likeness.
The first one I like the most, the last one, I like the least.
The patterns are universal and work well in both intraday, daily and even larger timeframes.
Signals in the example charts are manually marked by,
Hammer - profitable short signal
Rocket - profitable long signal
X - unprofitable long or short signal
GENERAL USER INPUTS:
These settings exist as the indicator uses ‘Labels’ to mark the patterns and Pine Script limits a maximum of 500 labels on a chart.
If you want to go back in the past and check how the indicator was doing, set the Start and End dates both and check the ’Use the date range above to mark the Candlestick Setups?’ option.
EXTREME REVERSAL SETUP:
This is by far my favorite setup in the lot. Classic Mean Reversion setup.
The logic, as explained in the book, goes like this,
1. The first bar of the pattern is about two times larger than the average size of the candles in the lookback period.
2. The body of the first bar of the pattern should encompass more than 50 percent of the bar’s total range, but usually not more than 85 percent.
3. The second bar of the pattern opposes the first.
The setup works extremely well in high beta stocks like Vedanta VEDL.
Feel free to play with the settings in order to better align this pattern with your favorite stock.
Check out the examples below,
No indicator is perfect, failed patterns are marked with an X.
OUTSIDE REVERSAL SETUP:
My second favorite setup, it is quite good at catching intraday trends.
Here’s the logic,
1. The engulfing bar of a bullish outside reversal setup has a low that is below the prior bar’s low and a close that is above the prior bar’s high. Reverse the conditions for bearish outside reversal.
2. The engulfing bar is usually 5 to 25 percent larger than the size of the average bar in the lookback period.
Settings for this pattern simply reflect these conditions. Feel free to modify them as you wish.
The pattern is pretty powerful and will sometimes help you catch literally all the highs and lows of the market, as shown in the examples of Vedanta VEDL and RELIANCE stocks below.
As usual, this pattern is not PERFECT either.
DOJI REVERSAL SETUP:
Doji candles signify market indecision and this pattern tries to profit off these market conditions.
Logic:
1. The open and close price of the doji should fall within 10 percent of each other, as measured by the total range of the candlestick.
2. For a bullish doji, the high of the doji candlestick should be below the ten-period simple moving average. Vice-versa for bearish.
3. For a bullish doji setup, one of the two bars following the doji must close above the high of the doji. Vice-versa for bearish.
Feel free to modify the settings and optimize according to the stock you are trading.
Don't optimize too much :)
This pattern works brilliantly well on larger intraday timeframes, like 15m/30m/60m.
This pattern also has a higher propensity to give false indications than the two described above.
Doji reversal typically helps to catch larger trend reversals. Check out the examples below from RELIANCE and NIFTY charts,
Note that the RELIANCE chart below is the same as shown for the Outside Reversal Setup above, notice the confluence of Outside
Reversal and Doji Reversal on the 31st August.
Confluence of patterns usually increases the probability of success.
RELIANCE 15m Chart - Pattern can catch nice trends on higher timeframes
NIFTY 15m Chart
WICK REVERSAL SETUP:
This pattern tries to capture candlesticks with large wick sizes, as they often indicate trend reversal when coupled with significant support and resistance levels.
Logic:
1. The body is used to determine the size of the reversal wick. A wick that is between 2.5 to 3.5 times larger than the size of the body is ideal.
2. For a bullish reversal wick to exist, the close of the bar should fall within the top 35 percent of the overall range of the candle.
3. For a bearish reversal wick to exist, the close of the bar should fall within the bottom 35 percent of the overall range of the candle.
This pattern must always be coupled with important support resistance levels, else there will be a lot of false signals.
The chart below is the same NIFTY chart as above with the Wick Reversal candles marked as well.
You can see that there are a lot of false signals, but the price also indicates ’pausing’ at important levels by printing a wick reversal setup.
You can use this information to your advantage when riding a trend.
FINAL WORDS:
Settings for various patterns simply reflect the logic described.
You will probably need to tweak and optimize the pattern settings for the stock that you are trading.
Higher Beta/Higher Volatility stocks are a great choice for these patterns.
Using these patterns at critical support and resistance levels will result in dramatically high accuracy.
Be creative and try to develop a proper system around this indicator, with rules for position sizing, stop loss etc.
You do not have to trade all the patterns. Even trading just one pattern with a proper system is good enough.
DO NOT USE THIS INDICATOR AS A BUY/SELL SYSTEM, YOU WILL LOSE MONEY.
Feel free to drop any feedback in the comments section below, or if you have any unique candlestick patterns that you would like me to code.
Screener: Multi-Timeframe CRT / ORB [Yosiet]Are you tired of manually scanning dozens of charts across different timeframes, searching for that perfect reversal setup? What if you could have a system that does the heavy lifting for you, pinpointing high-probability reversal patterns across the entire market in real-time?
Several names for the same candlestick pattern: CRT, ORB, Morning Star, Evening Star, and others, but I'm not going to talk about it.
What is a Candle Retracement (CRT) Pattern?
For those who may be unfamiliar, the Candle Retracement pattern is a robust 3-candle setup that signals the potential exhaustion of a trend and the start of a reversal.
Bullish CRT:
Candle 1 (Signal): A significant bearish candle.
Candle 2 (Retracement): A candle that sweeps the lows of Candle 1 but closes within its body. This shows the sellers are overextended and losing momentum.
Candle 3 (Confirmation): A bullish candle that closes above Candle 2's close, confirming the reversal.
Bearish CRT:
Candle 1 (Signal): A significant bullish candle.
Candle 2 (Retracement): A candle that sweeps the highs of Candle 1 but closes within its body.
Candle 3 (Confirmation): A bearish candle that closes below Candle 2's close.
How This Screener Supercharges Your Trading
Manually finding these setups is time-consuming. This indicator automates the entire process, scanning up to four symbols across nine different timeframes—from the fast-paced 5-minute chart to the strategic weekly view.
Key Features:
Multi-Symbol, Multi-Timeframe Matrix: Get an instant, bird's-eye view of all CRT signals in a clean, easy-to-read table.
Customizable Logic: Fine-tune the pattern detection to your liking:
Lookback Period: How many bars back to search for patterns.
Min Candle %: The minimum body size of Candle 1, ensuring you only get significant signals.
Sweep %: The minimum required wick sweep of Candle 2, filtering for meaningful false breaks.
Visual & Alert System:
Clear Visuals: Green circles (🟢) for Bullish CRT and red circles (🔴) for Bearish CRT.
Proactive Alerts: Receive real-time pop-up and push notifications the moment a new pattern is confirmed on any timeframe.
Final Thoughts & Risk Management
The Multi-Timeframe CRT Screener is designed to be a cornerstone of your trading strategy, helping you find high-quality setups with efficiency. However, no indicator is infallible.
Always use confluence: Use the signals from this screener in conjunction with other factors like key support/resistance levels, volume, or momentum indicators.
Manage your risk: Always use a stop-loss. A good initial stop for a CRT pattern can be placed just beyond the extreme of Candle 1 (the low for bullish, high for bearish).
I hope you find this tool as invaluable in your trading as I have. I'm constantly working on improvements, so please feel free to leave your suggestions, comments, and questions below. If you find it useful, give it a like and share it with your trading community!
Happy Trading,
Yosiet
Historical Matrix Analyzer [PhenLabs]📊Historical Matrix Analyzer
Version: PineScriptv6
📌Description
The Historical Matrix Analyzer is an advanced probabilistic trading tool that transforms technical analysis into a data-driven decision support system. By creating a comprehensive 56-cell matrix that tracks every combination of RSI states and multi-indicator conditions, this indicator reveals which market patterns have historically led to profitable outcomes and which have not.
At its core, the indicator continuously monitors seven distinct RSI states (ranging from Extreme Oversold to Extreme Overbought) and eight unique indicator combinations (MACD direction, volume levels, and price momentum). For each of these 56 possible market states, the system calculates average forward returns, win rates, and occurrence counts based on your configurable lookback period. The result is a color-coded probability matrix that shows you exactly where you stand in the historical performance landscape.
The standout feature is the Current State Panel, which provides instant clarity on your active market conditions. This panel displays signal strength classifications (from Strong Bullish to Strong Bearish), the average return percentage for similar past occurrences, an estimated win rate using Bayesian smoothing to prevent small-sample distortions, and a confidence level indicator that warns you when insufficient data exists for reliable conclusions.
🚀Points of Innovation
Multi-dimensional state classification combining 7 RSI levels with 8 indicator combinations for 56 unique trackable market conditions
Bayesian win rate estimation with adjustable smoothing strength to provide stable probability estimates even with limited historical samples
Real-time active cell highlighting with “NOW” marker that visually connects current market conditions to their historical performance data
Configurable color intensity sensitivity allowing traders to adjust heat-map responsiveness from conservative to aggressive visual feedback
Dual-panel display system separating the comprehensive statistics matrix from an easy-to-read current state summary panel
Intelligent confidence scoring that automatically warns traders when occurrence counts fall below reliable thresholds
🔧Core Components
RSI State Classification: Segments RSI readings into 7 distinct zones (Extreme Oversold <20, Oversold 20-30, Weak 30-40, Neutral 40-60, Strong 60-70, Overbought 70-80, Extreme Overbought >80) to capture momentum extremes and transitions
Multi-Indicator Condition Tracking: Simultaneously monitors MACD crossover status (bullish/bearish), volume relative to moving average (high/low), and price direction (rising/falling) creating 8 binary-encoded combinations
Historical Data Storage Arrays: Maintains rolling lookback windows storing RSI states, indicator states, prices, and bar indices for precise forward-return calculations
Forward Performance Calculator: Measures price changes over configurable forward bar periods (1-20 bars) from each historical state, accumulating total returns and win counts per matrix cell
Bayesian Smoothing Engine: Applies statistical prior assumptions (default 50% win rate) weighted by user-defined strength parameter to stabilize estimated win rates when sample sizes are small
Dynamic Color Mapping System: Converts average returns into color-coded heat map with intensity adjusted by sensitivity parameter and transparency modified by confidence levels
🔥Key Features
56-Cell Probability Matrix: Comprehensive grid displaying every possible combination of RSI state and indicator condition, with each cell showing average return percentage, estimated win rate, and occurrence count for complete statistical visibility
Current State Info Panel: Dedicated display showing your exact position in the matrix with signal strength emoji indicators, numerical statistics, and color-coded confidence warnings for immediate situational awareness
Customizable Lookback Period: Adjustable historical window from 50 to 500 bars allowing traders to focus on recent market behavior or capture longer-term pattern stability across different market cycles
Configurable Forward Performance Window: Select target holding periods from 1 to 20 bars ahead to align probability calculations with your trading timeframe, whether day trading or swing trading
Visual Heat Mapping: Color-coded cells transition from red (bearish historical performance) through gray (neutral) to green (bullish performance) with intensity reflecting statistical significance and occurrence frequency
Intelligent Data Filtering: Minimum occurrence threshold (1-10) removes unreliable patterns with insufficient historical samples, displaying gray warning colors for low-confidence cells
Flexible Layout Options: Independent positioning of statistics matrix and info panel to any screen corner, accommodating different chart layouts and personal preferences
Tooltip Details: Hover over any matrix cell to see full RSI label, complete indicator status description, precise average return, estimated win rate, and total occurrence count
🎨Visualization
Statistics Matrix Table: A 9-column by 8-row grid with RSI states labeling vertical axis and indicator combinations on horizontal axis, using compact abbreviations (XOverS, OverB, MACD↑, Vol↓, P↑) for space efficiency
Active Cell Indicator: The current market state cell displays “⦿ NOW ⦿” in yellow text with enhanced color saturation to immediately draw attention to relevant historical performance
Signal Strength Visualization: Info panel uses emoji indicators (🔥 Strong Bullish, ✅ Bullish, ↗️ Weak Bullish, ➖ Neutral, ↘️ Weak Bearish, ⛔ Bearish, ❄️ Strong Bearish, ⚠️ Insufficient Data) for rapid interpretation
Histogram Plot: Below the price chart, a green/red histogram displays the current cell’s average return percentage, providing a time-series view of how historical performance changes as market conditions evolve
Color Intensity Scaling: Cell background transparency and saturation dynamically adjust based on both the magnitude of average returns and the occurrence count, ensuring visual emphasis on reliable patterns
Confidence Level Display: Info panel bottom row shows “High Confidence” (green), “Medium Confidence” (orange), or “Low Confidence” (red) based on occurrence counts relative to minimum threshold multipliers
📖Usage Guidelines
RSI Period
Default: 14
Range: 1 to unlimited
Description: Controls the lookback period for RSI momentum calculation. Standard 14-period provides widely-recognized overbought/oversold levels. Decrease for faster, more sensitive RSI reactions suitable for scalping. Increase (21, 28) for smoother, longer-term momentum assessment in swing trading. Changes affect how quickly the indicator moves between the 7 RSI state classifications.
MACD Fast Length
Default: 12
Range: 1 to unlimited
Description: Sets the faster exponential moving average for MACD calculation. Standard 12-period setting works well for daily charts and captures short-term momentum shifts. Decreasing creates more responsive MACD crossovers but increases false signals. Increasing smooths out noise but delays signal generation, affecting the bullish/bearish indicator state classification.
MACD Slow Length
Default: 26
Range: 1 to unlimited
Description: Defines the slower exponential moving average for MACD calculation. Traditional 26-period setting balances trend identification with responsiveness. Must be greater than Fast Length. Wider spread between fast and slow increases MACD sensitivity to trend changes, impacting the frequency of indicator state transitions in the matrix.
MACD Signal Length
Default: 9
Range: 1 to unlimited
Description: Smoothing period for the MACD signal line that triggers bullish/bearish state changes. Standard 9-period provides reliable crossover signals. Shorter values create more frequent state changes and earlier signals but with more whipsaws. Longer values produce more confirmed, stable signals but with increased lag in detecting momentum shifts.
Volume MA Period
Default: 20
Range: 1 to unlimited
Description: Lookback period for volume moving average used to classify volume as “high” or “low” in indicator state combinations. 20-period default captures typical monthly trading patterns. Shorter periods (10-15) make volume classification more reactive to recent spikes. Longer periods (30-50) require more sustained volume changes to trigger state classification shifts.
Statistics Lookback Period
Default: 200
Range: 50 to 500
Description: Number of historical bars used to calculate matrix statistics. 200 bars provides substantial data for reliable patterns while remaining responsive to regime changes. Lower values (50-100) emphasize recent market behavior and adapt quickly but may produce volatile statistics. Higher values (300-500) capture long-term patterns with stable statistics but slower adaptation to changing market dynamics.
Forward Performance Bars
Default: 5
Range: 1 to 20
Description: Number of bars ahead used to calculate forward returns from each historical state occurrence. 5-bar default suits intraday to short-term swing trading (5 hours on hourly charts, 1 week on daily charts). Lower values (1-3) target short-term momentum trades. Higher values (10-20) align with position trading and longer-term pattern exploitation.
Color Intensity Sensitivity
Default: 2.0
Range: 0.5 to 5.0, step 0.5
Description: Amplifies or dampens the color intensity response to average return magnitudes in the matrix heat map. 2.0 default provides balanced visual emphasis. Lower values (0.5-1.0) create subtle coloring requiring larger returns for full saturation, useful for volatile instruments. Higher values (3.0-5.0) produce vivid colors from smaller returns, highlighting subtle edges in range-bound markets.
Minimum Occurrences for Coloring
Default: 3
Range: 1 to 10
Description: Required minimum sample size before applying color-coded performance to matrix cells. Cells with fewer occurrences display gray “insufficient data” warning. 3-occurrence default filters out rare patterns. Lower threshold (1-2) shows more data but includes unreliable single-event statistics. Higher thresholds (5-10) ensure only well-established patterns receive visual emphasis.
Table Position
Default: top_right
Options: top_left, top_right, bottom_left, bottom_right
Description: Screen location for the 56-cell statistics matrix table. Position to avoid overlapping critical price action or other indicators on your chart. Consider chart orientation and candlestick density when selecting optimal placement.
Show Current State Panel
Default: true
Options: true, false
Description: Toggle visibility of the dedicated current state information panel. When enabled, displays signal strength, RSI value, indicator status, average return, estimated win rate, and confidence level for active market conditions. Disable to declutter charts when only the matrix table is needed.
Info Panel Position
Default: bottom_left
Options: top_left, top_right, bottom_left, bottom_right
Description: Screen location for the current state information panel (when enabled). Position independently from statistics matrix to optimize chart real estate. Typically placed opposite the matrix table for balanced visual layout.
Win Rate Smoothing Strength
Default: 5
Range: 1 to 20
Description: Controls Bayesian prior weighting for estimated win rate calculations. Acts as virtual sample size assuming 50% win rate baseline. Default 5 provides moderate smoothing preventing extreme win rate estimates from small samples. Lower values (1-3) reduce smoothing effect, allowing win rates to reflect raw data more directly. Higher values (10-20) increase conservatism, pulling win rate estimates toward 50% until substantial evidence accumulates.
✅Best Use Cases
Pattern-based discretionary trading where you want historical confirmation before entering setups that “look good” based on current technical alignment
Swing trading with holding periods matching your forward performance bar setting, using high-confidence bullish cells as entry filters
Risk assessment and position sizing, allocating larger size to trades originating from cells with strong positive average returns and high estimated win rates
Market regime identification by observing which RSI states and indicator combinations are currently producing the most reliable historical patterns
Backtesting validation by comparing your manual strategy signals against the historical performance of the corresponding matrix cells
Educational tool for developing intuition about which technical condition combinations have actually worked versus those that feel right but lack historical evidence
⚠️Limitations
Historical patterns do not guarantee future performance, especially during unprecedented market events or regime changes not represented in the lookback period
Small sample sizes (low occurrence counts) produce unreliable statistics despite Bayesian smoothing, requiring caution when acting on low-confidence cells
Matrix statistics lag behind rapidly changing market conditions, as the lookback period must accumulate new state occurrences before updating performance data
Forward return calculations use fixed bar periods that may not align with actual trade exit timing, support/resistance levels, or volatility-adjusted profit targets
💡What Makes This Unique
Multi-Dimensional State Space: Unlike single-indicator tools, simultaneously tracks 56 distinct market condition combinations providing granular pattern resolution unavailable in traditional technical analysis
Bayesian Statistical Rigor: Implements proper probabilistic smoothing to prevent overconfidence from limited data, a critical feature missing from most pattern recognition tools
Real-Time Contextual Feedback: The “NOW” marker and dedicated info panel instantly connect current market conditions to their historical performance profile, eliminating guesswork
Transparent Occurrence Counts: Displays sample sizes directly in each cell, allowing traders to judge statistical reliability themselves rather than hiding data quality issues
Fully Customizable Analysis Window: Complete control over lookback depth and forward return horizons lets traders align the tool precisely with their trading timeframe and strategy requirements
🔬How It Works
1. State Classification and Encoding
Each bar’s RSI value is evaluated and assigned to one of 7 discrete states based on threshold levels (0: <20, 1: 20-30, 2: 30-40, 3: 40-60, 4: 60-70, 5: 70-80, 6: >80)
Simultaneously, three binary conditions are evaluated: MACD line position relative to signal line, current volume relative to its moving average, and current close relative to previous close
These three binary conditions are combined into a single indicator state integer (0-7) using binary encoding, creating 8 possible indicator combinations
The RSI state and indicator state are stored together, defining one of 56 possible market condition cells in the matrix
2. Historical Data Accumulation
As each bar completes, the current state classification, closing price, and bar index are stored in rolling arrays maintained at the size specified by the lookback period
When the arrays reach capacity, the oldest data point is removed and the newest added, creating a sliding historical window
This continuous process builds a comprehensive database of past market conditions and their subsequent price movements
3. Forward Return Calculation and Statistics Update
On each bar, the indicator looks back through the stored historical data to find bars where sufficient forward bars exist to measure outcomes
For each historical occurrence, the price change from that bar to the bar N periods ahead (where N is the forward performance bars setting) is calculated as a percentage return
This percentage return is added to the cumulative return total for the specific matrix cell corresponding to that historical bar’s state classification
Occurrence counts are incremented, and wins are tallied for positive returns, building comprehensive statistics for each of the 56 cells
The Bayesian smoothing formula combines these raw statistics with prior assumptions (neutral 50% win rate) weighted by the smoothing strength parameter to produce estimated win rates that remain stable even with small samples
💡Note:
The Historical Matrix Analyzer is designed as a decision support tool, not a standalone trading system. Best results come from using it to validate discretionary trade ideas or filter systematic strategy signals. Always combine matrix insights with proper risk management, position sizing rules, and awareness of broader market context. The estimated win rate feature uses Bayesian statistics specifically to prevent false confidence from limited data, but no amount of smoothing can create reliable predictions from fundamentally insufficient sample sizes. Focus on high-confidence cells (green-colored confidence indicators) with occurrence counts well above your minimum threshold for the most actionable insights.
ICT Anchored Market Structures with Validation [LuxAlgo]The ICT Anchored Market Structures with Validation indicator is an advanced iteration of the original Pure-Price-Action-Structures tool, designed for price action traders.
It systematically tracks and validates key price action structures, distinguishing between true structural shifts/breaks and short-term sweeps to enhance trend and reversal analysis. The indicator automatically highlights structural points, confirms breakouts, identifies sweeps, and provides clear visual cues for short-term, intermediate-term, and long-term market structures.
A distinctive feature of this indicator is its exclusive reliance on price patterns. It does not depend on any user-defined input, ensuring that its analysis remains robust, objective, and uninfluenced by user bias, making it an effective tool for understanding market dynamics.
🔶 USAGE
Market structure is a cornerstone of price action analysis. This script automatically detects real-time market structures across short-term, intermediate-term, and long-term levels, simplifying trend analysis for traders. It assists in identifying both trend reversals and continuations with greater clarity.
Market structure shifts and breaks help traders identify changes in trend direction. A shift signals a potential reversal, often occurring when a swing high or low is breached, suggesting a transition in trend. A break, on the other hand, confirms the continuation of an established trend, reinforcing the current direction. Recognizing these shifts and breaks allows traders to anticipate price movement with greater accuracy.
It’s important to note that while a CHoCH may signal a potential trend reversal and a BoS suggests a continuation of the prevailing trend, neither guarantees a complete reversal or continuation. In some cases, CHoCH and BoS levels may act as liquidity zones or areas of consolidation rather than indicating a clear shift or continuation in market direction. The indicator’s validation component helps confirm whether the detected CHoCH and BoS are true breakouts or merely liquidity sweeps.
🔶 DETAILS
🔹 Market Structures
Market structures are derived from price action analysis, focusing on identifying key levels and patterns in the market. Swing point detection, a fundamental concept in ICT trading methodologies and teachings, plays a central role in this approach.
Swing points are automatically identified based exclusively on market movements, without requiring any user-defined input.
🔹 Utilizing Swing Points
Swing points are not identified in real-time as they form. Short-term swing points may appear with a delay of up to one bar, while the identification of intermediate and long-term swing points is entirely dependent on subsequent market movements. Importantly, this detection process is not influenced by any user-defined input, relying solely on pure price action. As a result, swing points are generally not intended for real-time trading scenarios.
Instead, traders often analyze historical swing points to understand market trends and identify potential entry and exit opportunities. By examining swing highs and lows, traders can:
Recognize Trends: Swing highs and lows provide insight into trend direction. Higher swing highs and higher swing lows signify an uptrend, while lower swing highs and lower swing lows indicate a downtrend.
Identify Support and Resistance Levels: Swing highs often act as resistance levels, referred to as Buyside Liquidity Levels in ICT terminology, while swing lows function as support levels, also known as Sellside Liquidity Levels. Traders can leverage these levels to plan their trade entries and exits.
Spot Reversal Patterns: Swing points can form key reversal patterns, such as double tops or bottoms, head and shoulders, and triangles. Recognizing these patterns can indicate potential trend reversals, enabling traders to adjust their strategies effectively.
Set Stop Loss and Take Profit Levels: In ICT teachings, swing levels represent price points with expected clusters of buy or sell orders. Traders can target these liquidity levels/pools for position accumulation or distribution, using swing points to define stop loss and take profit levels in their trades.
Overall, swing points provide valuable information about market dynamics and can assist traders in making more informed trading decisions.
🔹 Logic of Validation
The validation process in this script determines whether a detected market structure shift or break represents a confirmed breakout or a sweep.
The breakout is confirmed when the close price is significantly outside the deviation range of the last detected structural price. This deviation range is defined by the 17-period Average True Range (ATR), which creates a buffer around the detected market structure shift or break.
A sweep occurs when the price breaches the structural level within the deviation range but does not confirm a breakout. In this case, the label is updated to 'SWEEP.'
A visual box is created to represent the price range where the breakout or sweep occurs. If the validation process continues, the box is updated. This box visually highlights the price range involved in a sweep, helping traders identify liquidity events on the chart.
🔶 SETTINGS
The settings for Short-Term, Intermediate-Term, and Long-Term Structures are organized into groups, allowing users to customize swing points, market structures, and visual styles for each.
🔹 Structures
Swings and Size: Enables or disables the display of swing highs and lows, assigns icons to represent the structures, and adjusts the size of the icons.
Market Structures: Toggles the visibility of market structure lines.
Market Structure Validation: Enable or disable validation to distinguish true breakouts from liquidity sweeps.
Market Structure Labels: Displays or hides labels indicating the type of market structure.
Line Style and Width: Allows customization of the style and width of the lines representing market structures.
Swing and Line Colors: Provides options to adjust the colors of swing icons, market structure lines, and labels for better visualization.
🔶 RELATED SCRIPTS
Pure-Price-Action-Structures.
Market-Structures-(Intrabar).
Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced
📊 ORIGINALITY & INNOVATION
The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches.
Key Advancements:
Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately
Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies
Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA)
Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation
Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components
This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases.
📐 MATHEMATICAL FOUNDATION
Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands.
Core Calculation Process:
1. Middle Band (Basis) Calculation:
The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period:
basis = ma(source, length, maType)
Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others.
2. Average True Range (ATR) Calculation:
ATR measures market volatility by calculating the average of true ranges over the specified period:
trueRange = max(high - low, abs(high - close ), abs(low - close ))
atrValue = ma(trueRange, atrLength, atrMaType)
ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others.
3. Channel Calculation:
Upper and lower channels are positioned at specified multiples of ATR from the basis:
upperChannel = basis + (multiplier × atrValue)
lowerChannel = basis - (multiplier × atrValue)
Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility.
Keltner Channel vs. Bollinger Bands - Key Differences:
While both indicators create volatility-based channels, they use fundamentally different volatility measures:
Keltner Channel (ATR-based):
Uses Average True Range to measure actual price movement volatility
Incorporates gaps and limit moves through true range calculation
More stable in trending markets, less prone to extreme compression
Better reflects intraday volatility and trading range
Typically fewer band touches, making touches more significant
More suitable for trend-following strategies
Bollinger Bands (Standard Deviation-based):
Uses statistical standard deviation to measure price dispersion
Based on closing prices only, doesn't account for intraday range
Can compress significantly during consolidation (squeeze patterns)
More touches in ranging markets
Better suited for mean-reversion strategies
Provides statistical probability framework (95% within 2 standard deviations)
Algorithm Combination Effects:
The interaction between middle band MA type and ATR MA type creates different indicator characteristics:
Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following
Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading
Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following
Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes
📊 COMPREHENSIVE SIGNAL ANALYSIS
Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies.
Channel Position Signals:
Upper Channel Interaction:
Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends
Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops
Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking
Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry
Lower Channel Interaction:
Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends
Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside
Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering
Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry
Middle Band (Basis) Signals:
Trend Direction Confirmation:
Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs
Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs
Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions
Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs
Pullback Trading Strategy:
Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point
Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point
Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks
Failed Test: Price breaking through middle band against trend direction signals potential reversal
Volatility-Based Signals:
Narrow Channels (Low Volatility):
Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action
Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles
Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels
Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width
Wide Channels (High Volatility):
Trending Phase: Channels expand during strong directional moves and increased volatility
Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing
Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky
Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal
Advanced Pattern Recognition:
Channel Walking Pattern:
Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively
Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively
Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks
Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion
Squeeze and Release Pattern:
Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts
Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias)
Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout
Follow-Through: Measure squeeze height and project from breakout point for initial profit targets
Channel Expansion Pattern:
Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment
Entry Timing: Enter positions early in expansion phase before trend becomes overextended
Risk Management: Use channel width to size stops appropriately, wider channels require wider stops
Basis Bounce Pattern:
Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity
Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend
Bounce Failure: Price penetrating basis signals weakening trend and potential reversal
Divergence Analysis:
Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening
Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction
Reversal Signal: Divergences often precede trend reversals or significant consolidation periods
Multi-Timeframe Analysis:
Keltner Channels work particularly well in multi-timeframe trend-following approaches:
Three-Timeframe Alignment:
Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels
Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend
Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection
Optimal Entry Conditions:
Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel
Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel
Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels
🎯 STRATEGIC APPLICATIONS
Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions.
Trend Following Strategy:
Setup Requirements:
Identify established trend with price consistently on one side of basis line
Wait for pullback to middle band (basis) or brief penetration through it
Confirm trend resumption with price rejection at basis and move back toward outer channel
Enter in trend direction with stop beyond basis line
Entry Rules:
Uptrend Entry:
Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence)
Enter long on rejection/bounce from basis with stop 1-2 ATR below basis
Aggressive: Enter on first touch; Conservative: Wait for confirmation candle
Downtrend Entry:
Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence)
Enter short on rejection/reversal from basis with stop 1-2 ATR above basis
Aggressive: Enter on first touch; Conservative: Wait for confirmation candle
Trend Management:
Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position
Profit Taking: Take partial profits at opposite channel, move stops to basis
Position Additions: Add to winners on subsequent basis bounces if trend intact
Breakout Strategy:
Setup Requirements:
Identify consolidation period with contracting channel width
Monitor price action near middle band with reduced volatility
Wait for decisive breakout beyond channel range with expanding width
Enter in breakout direction after confirmation
Breakout Confirmation:
Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state
Volume increases significantly on breakout (if using volume analysis)
Price sustains outside channel for multiple bars without immediate reversal
Entry Approaches:
Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size
Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop
Volatility-Based Position Sizing:
Adjust position sizing based on channel width (ATR-based volatility):
Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value)
Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion
ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops
Algorithm Selection Guidelines:
Different market conditions benefit from different algorithm combinations:
Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width
Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals
Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization
Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early
Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly
Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following
📋 DETAILED PARAMETER CONFIGURATION
Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches.
Source Parameter:
Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice
HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading
HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2
OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments
Length Parameter:
Controls the lookback period for middle band (basis) calculation:
Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate
Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading
Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods
Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment
Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks.
ATR Length Parameter:
Controls the lookback period for Average True Range calculation, affecting channel width:
Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions
Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used
Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading
Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following
Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels.
Multiplier Parameter:
Controls channel width by setting ATR multiples:
Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies
Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies
Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets
Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier.
MA Type Parameter (Middle Band):
Critical selection that determines trend identification characteristics:
EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes
SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion
HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping
TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets
T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading
KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions
ATR MA Type Parameter:
Determines how Average True Range is smoothed, affecting channel width stability:
RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width
SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width
EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes
TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles
Parameter Combination Strategies:
Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading
Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading
Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading
Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width
Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions
Offset Parameter:
Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations.
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness.
Response Characteristics:
Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions
Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts
Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention
Comparison with Traditional Keltner Channels:
Enhanced Version Advantages:
Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability
Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences
Comprehensive Alerts: Enhanced alert system including channel expansion detection
Traditional Version Advantages:
Simplicity: Fewer parameters, easier to understand and implement
Standardization: Fixed EMA/RMA combination ensures consistency across users
Research Base: Decades of backtesting and research on standard configuration
When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe.
When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks.
Performance Across Market Conditions:
Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities
Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts
Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings
Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation
Keltner Channel vs. Bollinger Bands - Usage Comparison:
Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends.
Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities.
Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation.
Limitations and Considerations:
General Limitations:
Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms
Trend-Dependent: Works best in trending markets, less effective in choppy conditions
No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation
Enhanced Version Specific Considerations:
Optimization Risk: More parameters increase risk of curve-fitting historical data
Complexity: Additional choices may overwhelm beginning traders
Backtesting Challenges: Different algorithms produce different historical results
Mitigation Strategies:
Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action
Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones
Multi-Timeframe Analysis: Confirm signals across different timeframes
Proper Risk Management: Use appropriate position sizing and stops
Start Simple: Begin with standard EMA/RMA before exploring alternatives
Optimal Usage Recommendations:
For Maximum Effectiveness:
Start with standard EMA/RMA configuration to understand classic behavior
Experiment with alternatives on demo account or paper trading
Match algorithm combination to market condition and trading style
Use channel width analysis to identify market phases
Combine with complementary indicators for confirmation
Implement strict risk management using ATR-based position sizing
Focus on high-quality setups rather than trading every signal
Respect the trend: trade with basis direction for higher probability
Complementary Indicators:
RSI or Stochastic: Confirm momentum at channel extremes
MACD: Confirm trend direction and momentum shifts
Volume: Validate breakouts and trend strength
ADX: Measure trend strength, avoid Keltner signals in weak trends
Support/Resistance: Combine with traditional levels for high-probability setups
Bollinger Bands: Use together for enhanced breakout and volatility analysis
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results.
Key considerations:
Always use multiple forms of analysis and confirmation before entering trades
Backtest any parameter combination thoroughly before live trading
Be aware that optimization can lead to curve-fitting if not done carefully
Start with standard EMA/RMA settings and adjust only when specific conditions warrant
Understand that no moving average algorithm can eliminate lag entirely
Consider market regime (trending, ranging, volatile) when selecting parameters
Use ATR-based position sizing and risk management on every trade
Keltner Channels work best in trending markets, less effective in choppy conditions
Respect the trend direction indicated by price position relative to basis line
The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
Risk Distribution HistogramStatistical risk visualization and analysis tool for any ticker 📊
The Risk Distribution Histogram visualizes the statistical distribution of different risk metrics for any financial instrument. It converts risk data into histograms with quartile-based color coding, so that traders can understand their risk, tail-risks, exposure patterns and make data-driven decisions based on empirical evidence rather than assumptions.
The indicator supports multiple risk calculation methods, each designed for different aspects of market analysis, from general volatility assessment to tail risk analysis.
Risk Measurement Methods
Standard Deviation
Captures raw daily price volatility by measuring the dispersion of price movements. Ideal for understanding overall market conditions and timing volatility-based strategies.
Use case: Options trading and volatility analysis.
Average True Range (ATR)
Measures true range as a percentage of price, accounting for gaps and limit moves. Valuable for position sizing across different price levels.
Use case: Position sizing and stop-loss placement.
The chart above illustrates how ATR statistical distribution can be used by looking at the ATR % of price distribution. For example, 90% of the movements are below 5%.
Downside Deviation
Only considers negative price movements, making it ideal for checking downside risk and capital protection rather than capturing upside volatility.
Use case: Downside protection strategies and stop losses.
Drawdown Analysis
Tracks peak-to-trough declines, providing insight into maximum loss potential during different market conditions.
Use case: Risk management and capital preservation.
The chart above illustrates tale risk for the asset (TQQQ), showing that it is possible to have drawdowns higher than 20%.
Entropy-Based Risk (EVaR)
Uses information theory to quantify market uncertainty. Higher entropy values indicate more unpredictable price action, valuable for detecting regime changes.
Use case: Advanced risk modeling and tail-risk.
VIX Histogram
Incorporates the market's fear index directly into analysis, showing how current volatility expectations compare to historical patterns. The CAPITALCOM:VIX histogram is independent from the ticker on the chart.
Use case: Volatility trading and market timing.
Visual Features
The histogram uses quartile-based color coding that immediately shows where current risk levels stand relative to historical patterns:
Green (Q1): Low Risk (0-25th percentile)
Yellow (Q2): Medium-Low Risk (25-50th percentile)
Orange (Q3): Medium-High Risk (50-75th percentile)
Red (Q4): High Risk (75-100th percentile)
The data table provides detailed statistics, including:
Count Distribution: Historical observations in each bin
PMF: Percentage probability for each risk level
CDF: Cumulative probability up to each level
Current Risk Marker: Shows your current position in the distribution
Trading Applications
When current risk falls into upper quartiles (Q3 or Q4), it signals conditions are riskier than 50-75% of historical observations. This guides position sizing and portfolio adjustments.
Key applications:
Position sizing based on empirical risk distributions
Monitoring risk regime changes over time
Comparing risk patterns across timeframes
Risk distribution analysis improves trade timing by identifying when market conditions favor specific strategies.
Enter positions during low-risk periods (Q1)
Reduce exposure in high-risk periods (Q4)
Use percentile rankings for dynamic stop-loss placement
Time volatility strategies using distribution patterns
Detect regime shifts through distribution changes
Compare current conditions to historical benchmarks
Identify outlier events in tail regions
Validate quantitative models with empirical data
Configuration Options
Data Collection
Lookback Period: Control amount of historical data analyzed
Date Range Filtering: Focus on specific market periods
Sample Size Validation: Automatic reliability warnings
Histogram Customization
Bin Count: 10-50 bins for different detail levels
Auto/Manual Bin Width: Optimize for your data range
Visual Preferences: Custom colors and font sizes
Implementation Guide
Start with Standard Deviation on daily charts for the most intuitive introduction to distribution-based risk analysis.
Method Selection: Begin with Standard Deviation
Setup: Use daily charts with 20-30 bins
Interpretation: Focus on quartile transitions as signals
Monitoring: Track distribution changes for regime detection
The tool provides comprehensive statistics including mean, standard deviation, quartiles, and current position metrics like Z-score and percentile ranking.
Enjoy, and please let me know your feedback! 😊🥂
Enhanced Neowave Wave 1 Finder with ZigZagThis script is an advanced technical analysis indicator for the TradingView platform, written in Pine Script version 5. Its primary goal is to identify potential Elliott Wave "Wave 1" patterns, enhanced with principles from Neowave theory and a custom ZigZag indicator for more accurate pivot detection. The script is designed to be overlaid on the main price chart.
Core Functionality: Blending ZigZag and Neowave
The indicator's methodology is a two-part process. First, it identifies significant price swings using a robust ZigZag indicator. Then, it analyzes these swings based on a set of rules derived from Neowave and classic technical analysis to validate them as potential Wave 1 patterns.
Part 1: ZigZag Integration
The first major component is a comprehensive ZigZag indicator that forms the foundation for all subsequent analysis.
Pivot Detection: The pivots() function is the engine of the ZigZag. It scans the historical price data for significant high and low points (pivots) over a user-defined Length.
Segment Drawing: Once pivots are identified, the script draws lines connecting them, creating the classic ZigZag pattern on the chart.
Extended Direction & Ratios: This is an enhanced feature. The script doesn't just identify highs and lows; it categorizes them as:
Higher High (HH) or Lower High (LH)
Lower Low (LL) or Higher Low (HL)
This classification is crucial for understanding the market structure. It also calculates the price ratio of the most recent ZigZag leg relative to the previous one, which is used later for pattern validation.
Dynamic Updates: The ZigZag is not static. On each new bar, it can update its most recent pivot point if a new, more extreme price (a higher high or a lower low) is printed before the direction officially changes. This ensures the ZigZag is always reflecting the most current and significant price action.
Part 2: Neowave Wave 1 Finder
With the market structure defined by the ZigZag, the second part of the script applies a rigorous set of rules to identify potential Wave 1 patterns. A Wave 1 is the initial move of a new trend in Elliott Wave theory.
Key Validation Criteria
For a price move between two ZigZag pivots to be considered a valid Wave 1, it must pass a series of checks:
Significance: The move must have a minimum percentage change (Minimum Wave Length) and last for a minimum number of bars, filtering out insignificant noise.
Volume Confirmation: A genuine impulse wave is typically supported by increasing volume. The script checks if the volume during the potential Wave 1 is significantly higher than the recent average (Volume Increase Threshold).
Momentum Alignment: The direction of the wave must be confirmed by momentum indicators.
For a bullish (upward) Wave 1, the Relative Strength Index (RSI) must be in a bullish regime (above 50) and the MACD line must be above its signal line.
For a bearish (downward) Wave 1, the RSI must be below 50 and the MACD line must be below its signal line.
Structural Analysis (Impulse vs. Diagonal): The script attempts to differentiate between two types of Wave 1:
Impulse Wave: A strong, clean, and direct move.
Diagonal Wave: A more complex, overlapping, and often wedge-shaped pattern. This is identified by analyzing the time and price complexity of the move, along with the ZigZag leg ratios.
Wave 2 Retracement Check: A critical Neowave rule is that a valid Wave 1 must be followed by a valid Wave 2 retracement. The script looks at the next ZigZag leg to ensure it doesn't retrace more than 100% of the potential Wave 1. It also uses the ZigZag ratios to confirm the retracement falls within typical Fibonacci levels (e.g., 38.2% to 78.6%).
Display and User Interface
The script provides a rich visual experience to aid the trader in their analysis.
Wave Labels and Boxes: When a valid Wave 1 is detected, it is highlighted with a colored line (green for bullish, red for bearish) and a shaded background box. A label clearly marks it as "Wave 1 IMPULSE" or "Wave 1 DIAGONAL".
Fibonacci Retracement Levels: Upon detection of a Wave 1, the script automatically draws key Fibonacci retracement levels (38.2%, 50%, 61.8%, 78.6%). These levels are potential targets for the end of the subsequent Wave 2, offering potential entry points for a Wave 3 trade.
Information Labels: Additional labels provide at-a-glance confirmation of the conditions, showing whether volume and momentum criteria were met.
Customizable Inputs: Users have extensive control over the indicator's parameters, including the ZigZag length, volume thresholds, RSI levels, and the colors of all visual elements.
Alerts: The indicator can be configured to generate an alert whenever a new bullish or bearish Wave 1 pattern is confirmed, allowing traders to be notified of potential opportunities in real-time.
Scalping Candle [Crak x MMT]The Scalping Candle is a TradingView indicator designed for scalping strategies, identifying potential bullish and bearish engulfing patterns on price charts. It overlays directly on the chart and marks specific candle patterns with visual signals, helping traders spot short-term trading opportunities. The indicator includes a customizable bias filter to focus on bullish, bearish, or neutral market conditions.
Features
Overlay Indicator : Displays bullish and bearish signals directly on the price chart.
Bias Filter : Allows users to select a market bias ('Bullish', 'Bearish', or 'Neutral') to filter signals based on their trading preference.
Visual Signals : Plots green upward triangles below bullish candles and red downward triangles above bearish candles.
Alerts : Generates alerts for bullish and bearish engulfing patterns, enabling timely notifications for trade setups.
How It Works
The indicator analyzes the relationship between the current and previous candles to detect engulfing patterns:
Bullish Engulfing : Triggered when the current candle's low is at or below the previous candle's low, and its close is at or above the previous candle's midpoint. This signal is displayed only if the bias filter is set to 'Neutral' or 'Bullish'.
Bearish Engulfing : Triggered when the current candle's high is at or above the previous candle's high, and its close is at or below the previous candle's midpoint. This signal is displayed only if the bias filter is set to 'Neutral' or 'Bearish'.
The previous candle's midpoint is calculated as the average of its high and low prices.
Usage
- Add to Chart : Apply the indicator to any TradingView chart.
- Configure Bias Filter :
Neutral : Displays both bullish and bearish signals.
Bullish : Displays only bullish signals.
Bearish : Displays only bearish signals.
- Interpret Signals :
Green upward triangle below a candle indicates a potential bullish reversal.
Red downward triangle above a candle indicates a potential bearish reversal.
- Set Alerts : Use the built-in alert conditions to receive notifications when bullish or bearish engulfing patterns are detected.
Settings
Bias Filter : Choose between 'Neutral', 'Bullish', or 'Bearish' to control which signals are displayed.
Shape Size : Signals are plotted as small triangles for minimal chart clutter.
Alert Conditions : Enable alerts for 'Bullish Engulfing Detected' or 'Bearish Engulfing Detected' to stay informed of new signals.
Ideal Use Case
This indicator is tailored for scalpers and short-term traders looking to capitalize on quick price movements driven by engulfing candle patterns. It works best on 15-minute chart and can be combined with other technical tools for confirmation.
Long-Leg Doji Breakout StrategyThe Long-Leg Doji Breakout Strategy is a sophisticated technical analysis approach that capitalizes on market psychology and price action patterns.
Core Concept: The strategy identifies Long-Leg Doji candlestick patterns, which represent periods of extreme market indecision where buyers and sellers are in equilibrium. These patterns often precede significant price movements as the market resolves this indecision.
Pattern Recognition: The algorithm uses strict mathematical criteria to identify authentic Long-Leg Doji patterns. It requires the candle body to be extremely small (≤0.1% of the total range) while having long wicks on both sides (at least 2x the body size). An ATR filter ensures the pattern is significant relative to recent volatility.
Trading Logic: Once a Long-Leg Doji is identified, the strategy enters a "waiting mode," monitoring for a breakout above the doji's high (long signal) or below its low (short signal). This confirmation approach reduces false signals by ensuring the market has chosen a direction.
Risk Management: The strategy allocates 10% of equity per trade and uses a simple moving average crossover for exits. Visual indicators help traders understand the pattern identification and trade execution process.
Psychological Foundation: The strategy exploits the natural market cycle where uncertainty (represented by the doji) gives way to conviction (the breakout), creating high-probability trading opportunities.
The strength of this approach lies in its ability to identify moments when market sentiment shifts from confusion to clarity, providing traders with well-defined entry and exit points while maintaining proper risk management protocols.
How It Works
The strategy operates on a simple yet powerful principle: identify periods of market indecision, then trade the subsequent breakout when the market chooses direction.
Step 1: Pattern Detection
The algorithm scans for Long-Leg Doji candles, which have three key characteristics:
Tiny body (open and close prices nearly equal)
Long upper wick (significant rejection of higher prices)
Long lower wick (significant rejection of lower prices)
Step 2: Confirmation Wait
Once a doji is detected, the strategy doesn't immediately trade. Instead, it marks the high and low of that candle and waits for a definitive breakout.
Step 3: Trade Execution
Long Entry: When price closes above the doji's high
Short Entry: When price closes below the doji's low
Step 4: Exit Strategy
Positions are closed when price crosses back through a 20-period moving average, indicating potential trend reversal.
Market Psychology Behind It
A Long-Leg Doji represents a battlefield between bulls and bears that ends in a stalemate. The long wicks show that both sides tried to push price in their favor but failed. This creates a coiled spring effect - when one side finally gains control, the move can be explosive as trapped traders rush to exit and momentum traders jump aboard.
Key Parameters
Doji Body Threshold (0.1%): Ensures the body is truly small relative to the candle's range
Wick Ratio (2.0): Both wicks must be at least twice the body size
ATR Filter: Uses Average True Range to ensure the pattern is significant in current market conditions
Position Size: 10% of equity per trade for balanced risk management
Pros:
High Probability Setups: Doji patterns at key levels often lead to significant moves as they represent genuine shifts in market sentiment.
Clear Rules: Objective criteria for entry and exit eliminate emotional decision-making and provide consistent execution.
Risk Management: Built-in position sizing and exit rules help protect capital during losing trades.
Market Neutral: Works equally well for long and short positions, adapting to market direction rather than fighting it.
Visual Confirmation: The strategy provides clear visual cues, making it easy to understand when patterns are forming and trades are triggered.
Cons:
False Breakouts: In choppy or ranging markets, price may break the doji levels only to quickly reverse, creating whipsaws.
Patience Required: Traders must wait for both pattern formation and breakout confirmation, which can test discipline during active market periods.
Simple Exit Logic: The moving average exit may be too simplistic, potentially cutting profits short during strong trends or holding losers too long during reversals.
Volatility Dependent: The strategy relies on sufficient volatility to create meaningful doji patterns - it may underperform in extremely quiet markets.
Lagging Entries: Waiting for breakout confirmation means missing the very beginning of moves, reducing potential profit margins.
Best Market Conditions
The strategy performs optimally during periods of moderate volatility when markets are making genuine directional decisions rather than just random noise. It works particularly well around key support/resistance levels where the market's indecision is most meaningful.
Optimization Considerations
Consider combining with additional confluence factors like volume analysis, support/resistance levels, or other technical indicators to improve signal quality. The exit strategy could also be enhanced with trailing stops or multiple profit targets to better capture extended moves while protecting gains.
Best for Index option,
Enjoy !!
OTE & A-B-C Zone Indicator SwiftEdgeOTE & A-B-C Zone Indicator SwiftEdge
Overview
The OTE & A-B-C Zone Indicator SwiftEdge is a versatile tool designed to help traders identify high-probability trading setups using a combination of Optimal Trade Entry (OTE) zones, Fibonacci levels, and A-B-C price patterns. This indicator is particularly useful for traders who rely on price action and Fibonacci-based strategies to find entry points, set stop-losses, and target potential take-profit levels. By integrating swing point detection, trend analysis, and Fibonacci projections, SwiftEdge provides a clear visual framework for making informed trading decisions across various timeframes.
What It Does
SwiftEdge identifies key price levels and zones to guide your trading:
OTE Zone: Highlights the Optimal Trade Entry zone between swing points A (swing high) and B (swing low) using Fibonacci retracement levels (default: 0.618 to 0.786). This zone represents a high-probability area for price reversals, making it an ideal entry point for trades.
A-B-C Pattern: Marks the latest swing points as A (swing high), B (swing low), and C (projected take-profit level) with dashed lines and labels. A solid line connects A to B to C, visually illustrating the price movement from entry to target.
Take-Profit Zones: Projects three customizable take-profit levels (TP1, TP2, TP3) based on Fibonacci extensions (default: 1.272, 1.618, 2.0) from the A-B swing, helping traders plan exits with favorable risk-reward ratios.
How It Works
SwiftEdge combines several technical components to create a cohesive trading system:
Swing Point Detection: Identifies significant swing highs (A) and swing lows (B) using a dynamic lookback period that adjusts to the selected timeframe. On lower timeframes like 1-minute charts, an ATR-based filter reduces noise by requiring price movements to exceed a threshold (0.5 * ATR(14)).
Trend Analysis: Uses an Exponential Moving Average (EMA) to determine the trend direction (default: 50-period EMA on 1H). The indicator marks uptrends (price above EMA) in green and downtrends (price below EMA) in red, ensuring trades align with the market's direction.
Fibonacci Levels: Applies Fibonacci retracement to define the OTE zone between A and B, and Fibonacci extensions to project take-profit levels (C) beyond the initial swing. This approach leverages the natural tendency of markets to respect Fibonacci ratios for reversals and extensions.
Visual Clarity: Displays only the latest A-B-C pattern with three dashed lines (A, B, C) and a solid connecting line, ensuring the chart remains uncluttered and easy to interpret.
The combination of these elements creates a structured setup where the OTE zone (between A and B) serves as an entry point, while the projected C level offers a target, all within the context of the prevailing trend. This synergy makes SwiftEdge a powerful tool for traders seeking to combine price action, trend analysis, and Fibonacci strategies.
How to Use
Add the Indicator: Apply the indicator to your chart via TradingView's indicator menu.
Identify the Trend: The OTE zone and A-B-C pattern will be colored green in uptrends (price above EMA) or red in downtrends (price below EMA). Use this to determine the market direction.
Entry Point: Look for price reversals within the OTE zone (between A and B). This zone is typically between the 0.618 and 0.786 Fibonacci retracement levels of the A-B swing, making it a high-probability area for entries.
Stop-Loss: Place your stop-loss below the OTE zone in an uptrend (or above in a downtrend) to protect against false breakouts.
Take-Profit Targets: Use the projected take-profit zones (TP1, TP2, TP3) as potential exit levels. These are based on Fibonacci extensions and can be toggled on/off in the settings.
Customization:
Adjust the Fibonacci levels for the OTE zone (Fibonacci Level 1 and Fibonacci Level 2) to suit your strategy.
Modify the take-profit levels (Fibonacci Extension Level for TP1/TP2/TP3) to target different extension ratios.
Change the lookback period (Base Lookback Period) and EMA period (Base EMA Period) to fine-tune swing point detection and trend sensitivity.
Customize colors for uptrends, downtrends, and A-B-C lines to match your preferences.
What Makes It Unique
SwiftEdge stands out by integrating swing point detection, Fibonacci-based OTE zones, and A-B-C price patterns into a single, visually intuitive indicator. Unlike standalone Fibonacci tools or trend indicators, SwiftEdge combines these elements to provide a complete trading setup: it identifies entry zones (OTE), confirms trend direction (EMA), and projects take-profit targets (Fibonacci extensions). The dynamic timeframe adjustment ensures consistent performance across all chart intervals, while the clean A-B-C visualization (with only the latest pattern displayed) prevents chart clutter, making it easier to focus on the most relevant price levels.
Notes
This indicator is designed for traders familiar with price action and Fibonacci strategies. It does not guarantee profits and should be used in conjunction with other analysis tools and proper risk management.
Performance may vary depending on market conditions and timeframe. Test the indicator on a demo account before using it in live trading.
Trident FinderIntroduction to the Trident Finder
The Trident Finder is a Pine Script indicator that identifies unique bullish and bearish patterns called Tridents. These patterns are based on specific relationships between consecutive candles, combined with a simple moving average (SMA) filter for added precision. By spotting these patterns, traders can potentially identify high-probability reversal points or trend continuations.
Core Logic
The indicator identifies two patterns:
Bullish Trident
A bullish Trident forms when:
Candle (two candles back) has its High-Low range entirely above Candle (the preceding candle).
Candle (the current candle) has its Open-High-Low-Close (OHLC) above the Low of Candle .
Candle closes higher than it opens and higher than Candle ’s close.
Candle closes below the SMA, indicating a potential upward breakout against the trend.
Bearish Trident
A bearish Trident forms when:
Candle has its High-Low range entirely below Candle .
Candle has its OHLC below the High of Candle .
Candle closes lower than it opens and lower than Candle ’s close.
Candle closes above the SMA, indicating a potential downward breakout against the trend.
Visual Representation
Bullish Tridents are marked with green "Up" labels below the candle.
Bearish Tridents are marked with red "Down" labels above the candle.
The SMA is plotted as a maroon line to serve as a filter for the Trident patterns.
Enhanced Volume Flow Analysis Pro ♾️ IFEnhanced Volume Flow Analysis Pro (EVFA Pro)
A Comprehensive Guide to Understanding and Using Volume Flow Analysis
Introduction
The Enhanced Volume Flow Analysis Pro (EVFA Pro) represents a sophisticated approach to understanding market dynamics through the lens of volume analysis. This advanced technical indicator has been designed to peel back the layers of market activity, revealing the intricate dance between institutional and retail traders. By combining volume analysis, participant behavior patterns, and market condition recognition, EVFA Pro provides traders with a deeper understanding of market movements and potential opportunities.
Understanding the Core Framework
At its heart, EVFA Pro works by analyzing and categorizing trading volume based on several key characteristics. The indicator examines not just the raw volume, but also the context in which that volume occurs. It considers factors such as price movement, historical patterns, and market conditions to classify trading activity as either institutional or retail in nature.
The framework adapts dynamically to different market environments. Whether you're trading stocks, ETFs, cryptocurrencies, or commodities, the indicator automatically adjusts its parameters to match the typical behavior patterns of each asset class. This adaptability extends to different trading styles as well, with optimizations for everything from quick-paced scalping to longer-term position trading.
Market Participant Analysis
One of the most powerful aspects of EVFA Pro is its ability to distinguish between institutional and retail trading activity. The indicator accomplishes this through a sophisticated analysis of volume patterns, order flow, and price action. Institutional trading typically leaves distinct footprints in the market - large, well-organized volume patterns that often occur at strategic price levels. EVFA Pro identifies these patterns and separates them from the more scattered, emotion-driven patterns typical of retail trading.
The indicator maintains a constant watch on participation rates from both groups. When institutional participation rises above normal levels, it could signal the beginning of a significant move. Similarly, spikes in retail activity, especially when combined with certain price patterns, might indicate potential market turning points.
Reading Market Conditions
Market conditions are not static, and EVFA Pro recognizes this fundamental truth. The indicator continuously evaluates market conditions, classifying them into four main categories: normal, volatile, ranging, and trending. This classification isn't merely descriptive - it directly influences how the indicator interprets various patterns and signals.
In volatile markets, the indicator becomes more conservative in its pattern recognition, requiring stronger confirmation before signaling potential opportunities. During ranging periods, it adjusts to look for shorter-term movements and potential breakout scenarios. In trending markets, the focus shifts to finding continuation patterns and potential exhaustion points.
Pattern Recognition and Signal Generation
Pattern recognition in EVFA Pro goes beyond simple technical patterns. The indicator looks for complex interactions between volume, price, and participant behavior. It identifies accumulation patterns - periods where institutional buyers are actively building positions, often while keeping price movements relatively subtle to avoid drawing attention. Similarly, it recognizes distribution patterns, where larger players are gradually reducing positions.
Signal generation involves a sophisticated weighing of multiple factors. Volume strength, institutional participation, trend alignment, and price momentum all play roles in determining signal strength. This multi-factor approach helps reduce false signals and provides a more reliable indication of potential market moves.
Visual Analysis Tools
The visual components of EVFA Pro have been carefully designed to present complex information in an intuitive format. The main chart overlay uses color-coded volume bars to show the relative participation of institutional and retail traders. The intensity of these colors varies with volume significance, helping traders quickly identify potentially important market activity.
The information table provides a real-time summary of market conditions, participant activity, and detected patterns. This dashboard-style display allows traders to quickly assess market conditions and potential opportunities without needing to analyze multiple indicators.
Practical Application in Trading
To use EVFA Pro effectively, traders should integrate it into a comprehensive trading strategy. The indicator works best when its signals are considered alongside other forms of analysis and risk management tools. Strong signals from EVFA Pro might suggest potential opportunities, but traders should always consider the broader market context, their own risk tolerance, and their overall trading plan.
The indicator's alerts system can help traders stay informed of potentially significant market developments. However, these alerts should be viewed as starting points for analysis rather than automatic trading signals. Each alert provides specific information about the type of pattern or condition detected, allowing traders to quickly assess whether further investigation is warranted.
Advanced Features and Customization
EVFA Pro offers extensive customization options to suit different trading styles and preferences. Traders can adjust sensitivity levels, color schemes, and display options to match their needs. The indicator also includes special considerations for different trading sessions, allowing for more accurate analysis during pre-market, regular trading hours, and after-hours periods.
Market Application and Interpretation
Success with EVFA Pro comes from understanding not just what it shows, but why it shows what it does. The indicator's patterns and signals reflect real market dynamics - the actions and reactions of different types of traders. By understanding these underlying dynamics, traders can make more informed decisions about market opportunities and risks.
Disclaimer
This indicator and documentation are provided for educational and informational purposes only. Trading in financial markets involves substantial risk of loss and is not suitable for every investor. The analysis provided by the Enhanced Volume Flow Analysis Pro indicator should not be considered as financial advice or a recommendation to make any specific trade or investment. Users of this indicator should understand that:
1. Past performance is not indicative of future results
2. All trading decisions and their outcomes are the responsibility of the individual trader
3. This tool should be used as part of a comprehensive trading strategy that includes proper risk management and due diligence
4. Markets can be highly unpredictable, and no technical analysis tool can guarantee success
Users should carefully consider their investment objectives, level of experience, and risk appetite before using this indicator. It is strongly recommended to consult with a qualified financial advisor before making any investment decisions.
Daily CRTDaily CRT Indicator
The Daily CRT Indicator is a custom technical analysis tool designed to help traders identify and visualize key price patterns on the daily timeframe. Specifically, it detects and marks the "Sweep and Close Inside" pattern, which is a price action pattern that can signal potential trading opportunities.
Key Features:
Pattern Detection:
The indicator detects two specific price action patterns:
Sweep and Close Above: When the current price sweeps above the previous day’s high and closes inside the range, indicating a potential bullish breakout or continuation.
Sweep and Close Below: When the current price sweeps below the previous day’s low and closes inside the range, signaling a potential bearish move.
Horizontal Lines:
The indicator automatically draws horizontal lines at the previous day’s high and low levels whenever a pattern is detected, providing a visual reference for key support and resistance zones.
These lines are displayed in real-time on the chart and adjust dynamically as new patterns form.
Customizable Line Appearance:
Choose the color, thickness, and style (solid, dashed, or dotted) of the lines to fit your preferred chart aesthetic.
Alert System:
The indicator comes with built-in alerts. Set an alert to notify you when the Sweep and Close Inside pattern is detected, helping you stay on top of potential trade setups.
History Management:
Show History: Optionally display the detected patterns on previous bars (past patterns).
Customizable History Duration: Control how far back you want to view the patterns, allowing you to adjust for a cleaner chart and focus on the most recent setups.
Visual Labels:
When the pattern is detected, the indicator can display a label under the bar (customizable) to highlight the occurrence of the pattern, making it easier for traders to spot potential trade signals.
Built for the Daily Timeframe:
This indicator is specifically designed to work on the daily timeframe and is ideal for swing traders and longer-term traders who are focused on the daily price action and want to capture patterns that indicate potential market reversals or breakouts.
How It Works:
The indicator monitors the previous day's price action and looks for situations where the current price action either sweeps the previous day's high or low and then closes inside the range of the previous day's bar. This type of price movement can often signal that a reversal or continuation is about to occur. The indicator marks these setups by drawing horizontal lines and optionally displays labels for quick identification.
Settings & Customization:
Line Color: Customize the color of the lines marking the previous day’s high and low.
Line Thickness: Choose from different thickness levels for better visibility.
Line Style: Pick from solid, dashed, or dotted styles.
Show History: Toggle the display of historical patterns, with the option to control how many days back to show.
Show Labels: Option to toggle the display of labels when the pattern is detected.
Alert Condition: Receive alerts when a pattern is detected, ensuring you never miss a trade opportunity.
Ideal For:
Swing Traders: This indicator is perfect for traders looking to capture swings in the market based on daily price action.
Pattern Traders: Those who trade based on specific chart patterns will benefit from this tool, as it identifies important reversal and breakout signals.
Technical Analysts: Anyone who incorporates price action patterns into their strategy can use this tool as a supplemental analysis tool to improve their trading decisions.
By using the Daily CRT Indicator, you’ll have a powerful tool to help you spot important price action patterns that may indicate key market moves. Whether you're looking to catch breakouts, reversals, or simply track significant support and resistance levels, this indicator is a versatile addition to your trading toolkit.
This description provides a clear understanding of how the Daily CRT Indicator works and what value it offers, making it easy for traders to know if it fits their trading style. Feel free to tweak the description further depending on the details you’d like to emphasize.
Sell Signals EMA+SMAIndicator Overview:
This indicator identifies sell signals based on candlestick patterns, volume conditions, and moving average confirmations. It also plots support and resistance levels based on pivot highs and pivot lows. You can configure different settings like pivot lengths, moving average periods, and candlestick pattern conditions for the sell signals.
Configurable Settings:
Pivot High Length: Defines the number of bars used to calculate the resistance levels (pivot highs).
Pivot Low Length: Defines the number of bars used to calculate the support levels (pivot lows).
Volume SMA Length: The period of the simple moving average (SMA) for volume. Used to filter signals based on high volume.
Close SMA Length: The period of the simple moving average (SMA) for the close price. Used for confirmation of sell signals.
Pin Bar High Ratio: The ratio for defining the size of the upper wick in a bearish pin bar.
Pin Bar Low Ratio: The ratio for defining the size of the lower wick in a bearish pin bar.
How It Works:
Support and Resistance:
The indicator plots red lines for resistance (pivot highs) and green lines for support (pivot lows).
These levels are updated as new pivot points are detected based on the configured pivot lengths.
Sell Signal Conditions:
Candlestick Patterns: The indicator checks for two bearish patterns:
Bearish Pin Bar: A candle with a large upper wick and small lower wick where the close is below the open.
Bearish Engulfing: A candle where the current close is lower than the previous low, and the current open is higher than the previous high.
Volume Condition: The volume must be above the configured simple moving average (SMA) of the volume.
Confirmation: A sell signal is confirmed only when the price crosses below the configured SMA for the close price.
Sell Signals:
If all the conditions (candlestick pattern, volume, and confirmation) are met, the indicator will plot a red "Sell" label above the candle.
Additionally, a blue triangle will appear above the candle to indicate that the sell signal has been confirmed.
How to Use:
Adjust the Settings:
Open the settings of the indicator and adjust the parameters like pivot lengths, moving average periods, and candlestick pattern ratios based on your preferences.
Identify Key Levels:
Watch the red resistance and green support lines to identify key levels where price may reverse.
Look for Sell Signals:
When a red "Sell" label appears, it indicates a possible sell opportunity.
Ensure that a blue triangle (confirmation) also appears to validate the sell signal.
Manage Risk:
Use the support and resistance levels along with the sell signals to define your entry, stop-loss, and take-profit levels.
This indicator helps you identify potential bearish reversal points with configurable settings for added flexibility.
MTOBVR_CheckOverview.
This indicator checks to see if the OBV follows a specific pattern and visually displays the trend of the OBV on different time legs. It also has the ability to set alerts when certain conditions are met.
How to use
Setting up the indicator
Add a new indicator on a chart in TradingView.
Copy the code into the “Pine Script™ Editor” and save it as a new script.
Apply the script to your chart.
Indicator Functions
OBV Calculation
Calculates OBV for each time frame (5-minute, 15-minute, 30-minute, 1-hour, 4-hour, daily, and weekly) and displays it on the chart OBV is an indicator that combines price changes and trading volume.
Pattern Detection
Detects whether a particular pattern, such as a double or triple bottom, appears in the OBV. This allows us to identify buy or sell signals.
When these patterns are detected, the background color changes.
Background Color Change
When an OBV forms a particular pattern, the background color of the chart changes. This provides visual confirmation that a pattern has appeared.
Minimum pattern (min_bool): when the 5-, 15-, and 30-minute conditions for OBV are met.
High hourly pattern (h_bool): when the condition is met for the 1-hour, 4-hour, and daily legs of the OBV.
One-week pattern (range_obv_1w_bool): when the condition is met for the 1-week OBV pattern.
When all conditions are met: when the minimum pattern, high hourly pattern, and one-week pattern are all met.
Alert Settings
You can set alerts when certain conditions are met. This allows you to receive signals in real time.
Minimum conditions (min_bool): conditions at 5, 15, and 30 minutes of OBV.
High timeframe condition (h_bool): condition on the 1-hour, 4-hour, and daily legs of the OBV.
When all conditions are met: When all of the above conditions are met.
One-week condition (range_obv_1w_bool): Condition for the one-week leg of the OBV.
When all conditions are met: when the minimum, high time leg, and one week conditions are all met.
Arrows
OBV_ALL_UP: A green triangle arrow is displayed when the OBV is rising on all time legs.
OBV_ALL_DOWN: A red triangle arrow appears when the OBV is falling on all time legs.
Usage Notes
Time Leg Settings: This script uses OBVs of different time legs to detect patterns. Depending on the time leg used, appropriate settings and interpretation are required.
Alert settings: In order to activate the alert function, the alert conditions and notification method must be configured using TradingView's alert system.
This indicator allows you to visually see trends and patterns in the OBV across multiple time frames, allowing you to make more informed trading decisions.
WaveTrend With Divs & RSI(STOCH) Divs by WeloTradesWaveTrend with Divergences & RSI(STOCH) Divergences by WeloTrades
Overview
The "WaveTrend With Divergences & RSI(STOCH) Divergences" is an advanced Pine Script™ indicator designed for TradingView, offering a multi-dimensional analysis of market conditions. This script integrates several technical indicators—WaveTrend, Money Flow Index (MFI), RSI, and Stochastic RSI—into a cohesive tool that identifies both regular and hidden divergences across these indicators. These divergences can indicate potential market reversals and provide critical trading opportunities.
This indicator is not just a simple combination of popular tools; it offers extensive customization options, organized data presentation, and valuable trading signals that are easy to interpret. Whether you're a day trader or a long-term investor, this script enhances your ability to make informed decisions.
Originality and Usefulness
The originality of this script lies in its integration and the synergy it creates among the indicators used. Rather than merely combining multiple indicators, this script allows them to work together, enhancing each other's strengths. For example, by identifying divergences across WaveTrend, RSI, and Stochastic RSI simultaneously, the script provides multiple layers of confirmation, which reduces the likelihood of false signals and increases the reliability of trading signals.
The usefulness of this script is apparent in its ability to offer a consolidated view of market dynamics. It not only simplifies the analytical process by combining different indicators but also provides deeper insights through its divergence detection features. This comprehensive approach is designed to help traders identify potential market reversals, confirm trends, and ultimately make more informed trading decisions.
How the Components Work Together
1. Cross-Validation of Signals
WaveTrend: This indicator is primarily used to identify overbought and oversold conditions, as well as potential buy and sell signals. WaveTrend's ability to smooth price data and reduce noise makes it a reliable tool for identifying trend reversals.
RSI & Stochastic RSI: These momentum oscillators are used to measure the speed and change of price movements. While RSI identifies general overbought and oversold conditions, Stochastic RSI offers a more granular view by tracking the RSI’s level relative to its high-low range over a period of time. When these indicators align with WaveTrend signals, it adds a layer of confirmation that enhances the reliability of the signals.
Money Flow Index (MFI): This volume-weighted indicator assesses the inflow and outflow of money in an asset, giving insights into buying and selling pressure. By analyzing the MFI alongside WaveTrend and RSI indicators, the script can cross-validate signals, ensuring that buy or sell signals are supported by actual market volume.
Example Bullish scenario:
When a bullish divergence is detected on the RSI and confirmed by a corresponding bullish signal on the WaveTrend, along with an increasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator.
Example Bearish scenario:
When a bearish divergence is detected on the RSI and confirmed by a corresponding bearish signal on the WaveTrend, along with an decreasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator.
2. Divergence Detection and Market Reversals
Regular Divergences: Occur when the price action and an indicator (like RSI or WaveTrend) move in opposite directions. Regular bullish divergence signals a potential upward reversal when the price makes a lower low while the indicator makes a higher low. Conversely, regular bearish divergence suggests a downward reversal when the price makes a higher high, but the indicator makes a lower high.
Hidden Divergences: These occur when the price action and indicator move in the same direction, but with different momentum. Hidden bullish divergence suggests the continuation of an uptrend, while hidden bearish divergence suggests the continuation of a downtrend. By detecting these divergences across multiple indicators, the script identifies potential trend reversals or continuations with greater accuracy.
Example: The script might detect a regular bullish divergence on the WaveTrend while simultaneously identifying a hidden bullish divergence on the RSI. This combination suggests that while a trend reversal is possible, the overall market sentiment remains bullish, providing a nuanced view of the market.
A Regular Bullish Divergence Example:
A Hidden Bullish Divergence Example:
A Regular Bearish Divergence Example:
A Hidden Bearish Divergence Example:
3. Trend Strength and Sentiment Analysis
WaveTrend: Measures the strength and direction of the trend. By identifying the extremes of market sentiment (overbought and oversold levels), WaveTrend provides early signals for potential reversals.
Money Flow Index (MFI): Assesses the underlying sentiment by analyzing the flow of money. A rising MFI during an uptrend confirms strong buying pressure, while a falling MFI during a downtrend confirms selling pressure. This helps traders assess whether a trend is likely to continue or reverse.
RSI & Stochastic RSI: Offer a momentum-based perspective on the trend’s strength. High RSI or Stochastic RSI values indicate that the asset may be overbought, suggesting a potential reversal. Conversely, low values indicate oversold conditions, signaling a possible upward reversal.
Example:
During a strong uptrend, the WaveTrend & RSI's might signal overbought conditions, suggesting caution. If the MFI also shows decreasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent.
Example:
During a strong downtrend, the WaveTrend & RSI's might signal oversold conditions, suggesting caution. If the MFI also shows increasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent.
Conclusion
The "WaveTrend With Divergences & RSI(STOCH) Divergences" script offers a powerful, integrated approach to technical analysis by combining trend, momentum, and sentiment indicators into a single tool. Its unique value lies in the cross-validation of signals, the ability to detect divergences, and the comprehensive view it provides of market conditions. By offering traders multiple layers of analysis and customization options, this script is designed to enhance trading decisions, reduce false signals, and provide clearer insights into market dynamics.
WAVETREND
Display of WaveTrend:
Display of WaveTrend Setting:
WaveTrend Indicator Explanation
The WaveTrend indicator helps identify overbought and oversold conditions, as well as potential buy and sell signals. Its flexibility allows traders to adapt it to various strategies, making it a versatile tool in technical analysis.
WaveTrend Input Settings:
WT MA Source: Default: HLC3
What it is: The data source used for calculating the WaveTrend Moving Average.
What it does: Determines the input data to smooth price action and filter noise.
Example: Using HLC3 (average of High, Low, Close) provides a smoother data representation compared to using just the closing price.
Length (WT MA Length): Default: 3
What it is: The period used to calculate the Moving Average.
What it does: Adjusts the sensitivity of the WaveTrend indicator, where shorter lengths respond more quickly to price changes.
Example: A length of 3 is ideal for short-term analysis, providing quick reactions to price movements.
WT Channel Length & Average: Default: WT Channel Length = 9, Average = 12
What it is: Lengths used to calculate the WaveTrend channel and its average.
What it does: Smooths out the WaveTrend further, reducing false signals by averaging over a set period.
Example: Higher values reduce noise and help in identifying more reliable trends.
Channel: Style, Width, and Color:
What it is: Customization options for the WaveTrend channel's appearance.
What it does: Adjusts how the channel is displayed, including line style, width, and color.
Example: Choosing an area style with a distinct color can make the WaveTrend indicator clearly visible on the chart.
WT Buy & Sell Signals:
What it is: Settings to enable and customize buy and sell signals based on WaveTrend.
What it does: Allows for the display of buy/sell signals and customization of their shapes and colors.
When it gives a Buy Signal: Generated when the WaveTrend line crosses below an oversold level and then rises back, indicating a potential upward price movement.
When it gives a Sell Signal: Triggered when the WaveTrend line crosses above an overbought level and then declines, suggesting a possible downward trend.
Example: The script identifies these signals based on mean reversion principles, where prices tend to revert to the mean after reaching extremes. Traders can use these signals to time their entries and exits effectively.
WAVETREND OVERBOUGTH AND OVERSOLD LEVELS
Display of WaveTrend with Overbought & Oversold Levels:
Display of WaveTrend Overbought & Oversold Levels Settings:
WaveTrend Overbought & Oversold Levels Explanation
WT OB & OS Levels: Default: OB Level 1 = 53, OB Level 2 = 60, OS Level 1 = -53, OS Level 2 = -60
What it is: The default overbought and oversold levels used by the WaveTrend indicator to signal potential market reversals.
What it does: When the WaveTrend crosses above the OB levels, it indicates an overbought condition, potentially signaling a reversal or selling opportunity. Conversely, when it crosses below the OS levels, it indicates an oversold condition, potentially signaling a reversal or buying opportunity.
Example: A trader might use these levels to time entry or exit points, such as selling when the WaveTrend crosses into the overbought zone or buying when it crosses into the oversold zone.
Show OB/OS Levels: Default: True
What it is: Toggle options to show or hide the overbought and oversold levels on your chart.
What it does: When enabled, these levels will be visually represented on your chart, helping you to easily identify when the market reaches these critical thresholds.
Example: Displaying these levels can help you quickly see when the WaveTrend is approaching or has crossed into overbought or oversold territory, allowing for more informed trading decisions.
Line Style, Width, and Color for OB/OS Levels:
What it is: Options to customize the appearance of the OB and OS levels on your chart, including line style (solid, dotted, dashed), line width, and color.
What it does: These settings allow you to adjust how prominently these levels are displayed on your chart, which can help you better visualize and respond to overbought or oversold conditions.
Example: Setting a thicker, dashed line in a contrasting color can make these levels stand out more clearly, aiding in quick visual identification.
Example of Use:
Scenario: A trader wants to identify potential selling points when the market is overbought. They set the OB levels at 53 and 60, choosing a solid, red line style to make these levels clear on their chart. As the WaveTrend crosses above 53, they monitor for further price action, and upon crossing 60, they consider initiating a sell order.
WAVETREND DIVERGENCES
Display of WaveTrend Divergence:
Display of WaveTrend Divergence Setting:
WaveTrend Divergence Indicator Explanation
The WaveTrend Divergence feature helps identify potential reversal points in the market by highlighting divergences between the price and the WaveTrend indicator. Divergences can signal a shift in market momentum, indicating a possible trend reversal. This component allows traders to visualize and customize divergence detection on their charts.
WaveTrend Divergence Input Settings:
Potential Reversal Range: Default: 28
What it is: The number of bars to look back when detecting potential tops and bottoms.
What it does: Sets the range for identifying possible reversal points based on historical data.
Example: A setting of 28 looks back across the last 28 bars to find reversal points, offering a balance between responsiveness and reliability.
Reversal Minimum LVL OB & OS: Default: OB = 35, OS = -35
What it is: The minimum overbought and oversold levels required for detecting potential reversals.
What it does: Adjusts the thresholds that trigger a reversal signal based on the WaveTrend indicator.
Example: A higher OB level reduces the sensitivity to overbought conditions, potentially filtering out false reversal signals.
Lookback Bar Left & Right: Default: Left = 10, Right = 1
What it is: The number of bars to the left and right used to confirm a top or bottom.
What it does: Helps determine the position of peaks and troughs in the price action.
Example: A larger left lookback captures more extended price action before the peak, while a smaller right lookback focuses on the immediate past.
Lookback Range Min & Max: Default: Min = 5, Max = 60
What it is: The minimum and maximum range for the lookback period when identifying divergences.
What it does: Fine-tunes the detection of divergences by controlling the range over which the indicator looks back.
Example: A wider range increases the chances of detecting divergences across different market conditions.
R.Div Minimum LVL OB & OS: Default: OB = 53, OS = -53
What it is: The threshold levels for detecting regular divergences.
What it does: Adjusts the sensitivity of the regular divergence detection.
Example: Higher thresholds make the detection more conservative, identifying only stronger divergence signals.
H.Div Minimum LVL OB & OS: Default: OB = 20, OS = -20
What it is: The threshold levels for detecting hidden divergences.
What it does: Similar to regular divergence settings but for hidden divergences, which can indicate potential reversals that are less obvious.
Example: Lower thresholds make the hidden divergence detection more sensitive, capturing subtler market shifts.
Divergence Label Options:
What it is: Options to display and customize labels for regular and hidden divergences.
What it does: Allows users to visually differentiate between regular and hidden divergences using customizable labels and colors.
Example: Using different colors and symbols for regular (R) and hidden (H) divergences makes it easier to interpret signals on the chart.
Text Size and Color:
What it is: Customization options for the size and color of divergence labels.
What it does: Adjusts the readability and visibility of divergence labels on the chart.
Example: Larger text size may be preferred for charts with a lot of data, ensuring divergence labels stand out clearly.
FAST & SLOW MONEY FLOW INDEX
Display of Fast & Slow Money Flow:
Display of Fast & Slow Money Flow Setting:
Fast Money Flow Indicator Explanation
The Fast Money Flow indicator helps traders identify the flow of money into and out of an asset over a shorter time frame. By tracking the volume-weighted average of price movements, it provides insights into buying and selling pressure in the market, which can be crucial for making timely trading decisions.
Fast Money Flow Input Settings:
Fast Money Flow: Length: Default: 9
What it is: The period used for calculating the Fast Money Flow.
What it does: Determines the sensitivity of the Money Flow calculation. A shorter length makes the indicator more responsive to recent price changes, while a longer length provides a smoother signal.
Example: A length of 9 is suitable for traders looking to capture quick shifts in market sentiment over a short period.
Fast MFI Area Multiplier: Default: 5
What it is: A multiplier applied to the Money Flow area calculation.
What it does: Adjusts the size of the Money Flow area on the chart, effectively amplifying or reducing the visual impact of the indicator.
Example: A higher multiplier can make the Money Flow more prominent on the chart, aiding in the quick identification of significant money flow changes.
Y Position (Y Pos): Default: 0
What it is: The vertical position adjustment for the Fast Money Flow plot on the chart.
What it does: Allows you to move the Money Flow plot up or down on the chart to avoid overlap with other indicators.
Example: Adjusting the Y Position can be useful if you have multiple indicators on the chart and need to maintain clarity.
Fast MFI Style, Width, and Color:
What it is: Customization options for how the Fast Money Flow is displayed on the chart.
What it does: Enables you to choose between different plot styles (line or area), set the line width, and select colors for positive and negative money flow.
Example: Using different colors for positive (green) and negative (red) money flow helps to visually distinguish between periods of buying and selling pressure.
Slow Money Flow Indicator Explanation
The Slow Money Flow indicator tracks the flow of money into and out of an asset over a longer time frame. It provides a broader perspective on market sentiment, smoothing out short-term fluctuations and highlighting longer-term trends.
Slow Money Flow Input Settings:
Slow Money Flow: Length: Default: 12
What it is: The period used for calculating the Slow Money Flow.
What it does: A longer period smooths out short-term fluctuations, providing a clearer view of the overall money flow trend.
Example: A length of 12 is often used by traders looking to identify sustained trends rather than short-term volatility.
Slow MFI Area Multiplier: Default: 5
What it is: A multiplier applied to the Slow Money Flow area calculation.
What it does: Adjusts the size of the Money Flow area on the chart, helping to emphasize the indicator’s significance.
Example: Increasing the multiplier can help highlight the Money Flow in markets with less volatile price action.
Y Position (Y Pos): Default: 0
What it is: The vertical position adjustment for the Slow Money Flow plot on the chart.
What it does: Allows for vertical repositioning of the Money Flow plot to maintain chart clarity when used with other indicators.
Example: Adjusting the Y Position ensures that the Slow Money Flow indicator does not overlap with other key indicators on the chart.
Slow MFI Style, Width, and Color:
What it is: Customization options for the visual display of the Slow Money Flow on the chart.
What it does: Allows you to choose the plot style (line or area), set the line width, and select colors to differentiate positive and negative money flow.
Example: Customizing the colors for the Slow Money Flow allows traders to quickly distinguish between buying and selling trends in the market.
RSI
Display of RSI:
Display of RSI Setting:
RSI Indicator Explanation
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in the market, providing traders with potential signals for buying or selling.
RSI Input Settings:
RSI Source: Default: Close
What it is: The data source used for calculating the RSI.
What it does: Determines which price data (e.g., close, open) is used in the RSI calculation, affecting how the indicator reflects market conditions.
Example: Using the closing price is standard practice, as it reflects the final agreed-upon price for a given time period.
MA Type (Moving Average Type): Default: SMA
What it is: The type of moving average applied to the RSI for smoothing purposes.
What it does: Changes the smoothing technique of the RSI, impacting how quickly the indicator responds to price movements.
Example: Using an Exponential Moving Average (EMA) will make the RSI more sensitive to recent price changes compared to a Simple Moving Average (SMA).
RSI Length: Default: 14
What it is: The period over which the RSI is calculated.
What it does: Adjusts the sensitivity of the RSI. A shorter length (e.g., 7) makes the RSI more responsive to recent price changes, while a longer length (e.g., 21) smooths out the indicator, reducing the number of signals.
Example: A 14-period RSI is commonly used for identifying overbought and oversold conditions, providing a balance between sensitivity and reliability.
RSI Plot Style, Width, and Color:
What it is: Options to customize the appearance of the RSI line on the chart.
What it does: Allows you to adjust the visual representation of the RSI, including the line width and color.
Example: Setting a thicker line width and a bright color like yellow can make the RSI more visible on the chart, aiding in quick analysis.
Display of RSI with RSI Moving Average:
RSI Moving Average Explanation
The RSI Moving Average adds a smoothing layer to the RSI, helping to filter out noise and provide clearer signals. It is particularly useful for confirming trend strength and identifying potential reversals.
RSI Moving Average Input Settings:
MA Length: Default: 14
What it is: The period over which the Moving Average is calculated on the RSI.
What it does: Adjusts the smoothing of the RSI, helping to reduce false signals and provide a clearer trend indication.
Example: A 14-period moving average on the RSI can smooth out short-term fluctuations, making it easier to spot genuine overbought or oversold conditions.
MA Plot Style, Width, and Color:
What it is: Customization options for how the RSI Moving Average is displayed on the chart.
What it does: Allows you to adjust the line width and color, helping to differentiate the Moving Average from the main RSI line.
Example: Using a contrasting color for the RSI Moving Average (e.g., magenta) can help it stand out against the main RSI line, making it easier to interpret the indicator.
STOCHASTIC RSI
Display of Stochastic RSI:
Display of Stochastic RSI Setting:
Stochastic RSI Indicator Explanation
The Stochastic RSI (Stoch RSI) is a momentum oscillator that measures the level of the RSI relative to its high-low range over a set period of time. It is used to identify overbought and oversold conditions, providing potential buy and sell signals based on momentum shifts.
Stochastic RSI Input Settings:
Stochastic RSI Length: Default: 14
What it is: The period over which the Stochastic RSI is calculated.
What it does: Adjusts the sensitivity of the Stochastic RSI. A shorter length makes the indicator more responsive to recent price changes, while a longer length smooths out the fluctuations, reducing noise.
Example: A length of 14 is commonly used to identify momentum shifts over a medium-term period, providing a balanced view of potential overbought or oversold conditions.
Display of Stochastic RSI %K Line:
Stochastic RSI %K Line Explanation
The %K line in the Stochastic RSI is the main line that tracks the momentum of the RSI over the chosen period. It is the faster-moving component of the Stochastic RSI, often used to identify entry and exit points.
Stochastic RSI %K Input Settings:
%K Length: Default: 3
What it is: The period used for smoothing the %K line of the Stochastic RSI.
What it does: Smoothing the %K line helps reduce noise and provides a clearer signal for potential market reversals.
Example: A smoothing length of 3 is common, offering a balance between responsiveness and noise reduction, making it easier to spot significant momentum shifts.
%K Plot Style, Width, and Color:
What it is: Customization options for the visual representation of the %K line.
What it does: Allows you to adjust the appearance of the %K line on the chart, including line width and color, to fit your visual preferences.
Example: Setting a blue color and a medium width for the %K line makes it stand out clearly on the chart, helping to identify key points of momentum change.
%K Fill Color (Above):
What it is: The fill color that appears above the %K line on the chart.
What it does: Adds visual clarity by shading the area above the %K line, making it easier to interpret the direction and strength of momentum.
Example: Using a light blue fill color above the %K line can help emphasize bullish momentum, making it visually prominent.
Display of Stochastic RSI %D Line:
Stochastic RSI %D Line Explanation
The %D line in the Stochastic RSI is a moving average of the %K line and acts as a signal line. It is slower-moving compared to the %K line and is often used to confirm signals or identify potential reversals when it crosses the %K line.
Stochastic RSI %D Input Settings:
%D Length: Default: 3
What it is: The period used for smoothing the %D line of the Stochastic RSI.
What it does: Smooths out the %D line, making it less sensitive to short-term fluctuations and more reliable for identifying significant market signals.
Example: A length of 3 is often used to provide a smoothed signal line that can help confirm trends or reversals indicated by the %K line.
%D Plot Style, Width, and Color:
What it is: Customization options for the visual representation of the %D line.
What it does: Allows you to adjust the appearance of the %D line on the chart, including line width and color, to match your preferences.
Example: Setting an orange color and a thicker line width for the %D line can help differentiate it from the %K line, making crossover points easier to spot.
%D Fill Color (Below):
What it is: The fill color that appears below the %D line on the chart.
What it does: Adds visual clarity by shading the area below the %D line, making it easier to interpret bearish momentum.
Example: Using a light orange fill color below the %D line can highlight bearish conditions, making it visually easier to identify.
RSI & STOCHASTIC RSI OVERBOUGHT AND OVERSOLD LEVELS
Display of RSI & Stochastic with Overbought & Oversold Levels:
Display of RSI & Stochastic Overbought & Oversold Settings:
RSI & Stochastic Overbought & Oversold Levels Explanation
The Overbought (OB) and Oversold (OS) levels for RSI and Stochastic RSI indicators are key thresholds that help traders identify potential reversal points in the market. These levels are used to determine when an asset is likely overbought or oversold, which can signal a potential trend reversal.
RSI & Stochastic Overbought & Oversold Input Settings:
RSI & Stochastic Level 1 Overbought (OB) & Oversold (OS): Default: OB Level = 170, OS Level = 130
What it is: The first set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators.
What it does: When the RSI or Stochastic RSI crosses above the overbought level, it suggests that the asset might be overbought, potentially signaling a sell opportunity. Conversely, when these indicators drop below the oversold level, it suggests the asset might be oversold, potentially signaling a buy opportunity.
Example: If the RSI crosses above 170, traders might look for signs of a potential trend reversal to the downside, while a cross below 130 might indicate a reversal to the upside.
RSI & Stochastic Level 2 Overbought (OB) & Oversold (OS): Default: OB Level = 180, OS Level = 120
What it is: The second set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators.
What it does: These levels provide an additional set of reference points, allowing traders to differentiate between varying degrees of overbought and oversold conditions, potentially leading to more refined trading decisions.
Example: When the RSI crosses above 180, it might indicate an extreme overbought condition, which could be a stronger signal for a sell, while a cross below 120 might indicate an extreme oversold condition, which could be a stronger signal for a buy.
RSI & Stochastic Overbought (OB) Band Customization:
OB Level 1: Width, Style, and Color:
What it is: Customization options for the visual appearance of the first overbought band on the chart.
What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first overbought band, enhancing its visibility on the chart.
Example: A dashed red line with medium width can clearly indicate the first overbought level, helping traders quickly identify when this threshold is crossed.
OB Level 2: Width, Style, and Color:
What it is: Customization options for the visual appearance of the second overbought band on the chart.
What it does: Allows you to set the line width, style, and color for the second overbought band, providing a clear distinction from the first band.
Example: A dashed red line with a slightly thicker width can represent a more significant overbought level, making it easier to differentiate from the first level.
RSI & Stochastic Oversold (OS) Band Customization:
OS Level 1: Width, Style, and Color:
What it is: Customization options for the visual appearance of the first oversold band on the chart.
What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first oversold band, making it visually prominent.
Example: A dashed green line with medium width can highlight the first oversold level, helping traders identify potential buying opportunities.
OS Level 2: Width, Style, and Color:
What it is: Customization options for the visual appearance of the second oversold band on the chart.
What it does: Allows you to set the line width, style, and color for the second oversold band, providing an additional visual cue for extreme oversold conditions.
Example: A dashed green line with a thicker width can represent a more significant oversold level, offering a stronger visual cue for potential buying opportunities.
RSI DIVERGENCES
Display of RSI Divergence Labels:
Display of RSI Divergence Settings:
RSI Divergence Lookback Explanation
The RSI Divergence settings allow traders to customize the parameters for detecting divergences between the RSI (Relative Strength Index) and price action. Divergences occur when the price moves in the opposite direction to the RSI, potentially signaling a trend reversal. These settings help refine the accuracy of divergence detection by adjusting the lookback period and range. ( NOTE: This setting only imply to the RSI. This doesn't effect the STOCHASTIC RSI. )
RSI Divergence Lookback Input Settings:
Lookback Left: Default: 10
What it is: The number of bars to look back from the current bar to detect a potential divergence.
What it does: Defines the left-side lookback period for identifying pivot points in the RSI, which are used to spot divergences. A longer lookback period may capture more significant trends but could also miss shorter-term divergences.
Example: A setting of 10 bars means the script will consider pivot points up to 10 bars before the current bar to check for divergence patterns.
Lookback Right: Default: 1
What it is: The number of bars to look forward from the current bar to complete the divergence pattern.
What it does: Defines the right-side lookback period for confirming a potential divergence. This setting helps ensure that the identified divergence is valid by allowing the script to check subsequent bars for confirmation.
Example: A setting of 1 bar means the script will look at the next bar to confirm the divergence pattern, ensuring that the signal is reliable.
Lookback Range Min: Default: 5
What it is: The minimum range of bars required to detect a valid divergence.
What it does: Sets a lower bound on the range of bars considered for divergence detection. A lower minimum range might capture more frequent but possibly less significant divergences.
Example: Setting the minimum range to 5 ensures that only divergences spanning at least 5 bars are considered, filtering out very short-term patterns.
Lookback Range Max: Default: 60
What it is: The maximum range of bars within which a divergence can be detected.
What it does: Sets an upper bound on the range of bars considered for divergence detection. A larger maximum range might capture more significant divergences but could also include less relevant long-term patterns.
Example: Setting the maximum range to 60 bars allows the script to detect divergences over a longer timeframe, capturing more extended divergence patterns that could indicate major trend reversals.
RSI Divergence Explanation
RSI divergences occur when the RSI indicator and price action move in opposite directions, signaling potential trend reversals. This section of the settings allows traders to customize the appearance and detection of both regular and hidden bullish and bearish divergences.
RSI Divergence Input Settings:
R. Bullish Div Label: Default: True
What it is: An option to display labels for regular bullish divergences.
What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the RSI makes a higher low, indicating a potential upward reversal.
Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence suggests the trend may be reversing.
Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bullish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Selecting a green label color and a distinct line width makes bullish divergences easily recognizable on your chart.
R. Bearish Div Label: Default: True
What it is: An option to display labels for regular bearish divergences.
What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the RSI makes a lower high, indicating a potential downward reversal.
Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence suggests the trend may be reversing.
Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bearish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Choosing a red label color and a specific line width makes bearish divergences clearly stand out on your chart.
H. Bullish Div Label: Default: False
What it is: An option to display labels for hidden bullish divergences.
What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the RSI makes a lower low, indicating potential continuation of an uptrend.
Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence signals continued buying strength.
Hidden Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bullish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A softer green color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information.
H. Bearish Div Label: Default: False
What it is: An option to display labels for hidden bearish divergences.
What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the RSI makes a higher high, indicating potential continuation of a downtrend.
Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence signals continued selling pressure.
Hidden Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bearish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A muted red color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart.
Divergence Text Size and Color: Default: S (Small)
What it is: Settings to adjust the size and color of text labels for RSI divergences.
What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart.
Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart.
STOCHASTIC DIVERGENCES
Display of Stochastic RSI Divergence Labels:
Display of Stochastic RSI Divergence Settings:
Stochastic RSI Divergence Explanation
Stochastic RSI divergences occur when the Stochastic RSI indicator and price action move in opposite directions, signaling potential trend reversals. These settings allow traders to customize the detection and visual representation of both regular and hidden bullish and bearish divergences in the Stochastic RSI.
Stochastic RSI Divergence Input Settings:
R. Bullish Div Label: Default: True
What it is: An option to display labels for regular bullish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the Stochastic RSI makes a higher low, indicating a potential upward reversal.
Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence in the Stochastic RSI suggests the trend may be reversing.
Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bullish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Selecting a blue label color and a distinct line width makes bullish divergences in the Stochastic RSI easily recognizable on your chart.
R. Bearish Div Label: Default: True
What it is: An option to display labels for regular bearish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the Stochastic RSI makes a lower high, indicating a potential downward reversal.
Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence in the Stochastic RSI suggests the trend may be reversing.
Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bearish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Choosing an orange label color and a specific line width makes bearish divergences in the Stochastic RSI clearly stand out on your chart.
H. Bullish Div Label: Default: False
What it is: An option to display labels for hidden bullish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the Stochastic RSI makes a lower low, indicating potential continuation of an uptrend.
Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence in the Stochastic RSI signals continued buying strength.
Hidden Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bullish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A softer blue color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information.
H. Bearish Div Label: Default: False
What it is: An option to display labels for hidden bearish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the Stochastic RSI makes a higher high, indicating potential continuation of a downtrend.
Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence in the Stochastic RSI signals continued selling pressure.
Hidden Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bearish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A muted orange color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart.
Divergence Text Size and Color: Default: S (Small)
What it is: Settings to adjust the size and color of text labels for Stochastic RSI divergences.
What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart.
Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart.
Alert System:
Custom Alerts for Divergences and Reversals:
What it is: The script includes customizable alert conditions to notify you of detected divergences or potential reversals based on WaveTrend, RSI, and Stochastic RSI.
What it does: Helps you stay informed of key market movements without constantly monitoring the charts, enabling timely decisions.
Example: Setting an alert for regular bearish divergence on the WaveTrend could notify you of a potential sell opportunity as soon as it is detected.
How to Use Alerts:
Set up custom alerts in TradingView based on these conditions to be notified of potential trading opportunities. Alerts are triggered when the indicator detects conditions that match the selected criteria, such as divergences or potential reversals.
By following the detailed guidelines and examples above, you can effectively use and customize this powerful indicator to suit your trading strategy.
For further understanding and customization, refer to the input settings within the script and adjust them to match your trading style and preferences.
How Components Work Together
Synergy and Cross-Validation: The indicator combines multiple layers of analysis to validate trading signals. For example, a WaveTrend buy signal that coincides with a bullish divergence in RSI and positive fast money flow is likely to be more reliable than any single indicator’s signal. This cross-validation reduces the likelihood of false signals and enhances decision-making.
Comprehensive Market Analysis: Each component plays a role in analyzing different aspects of the market. WaveTrend focuses on trend strength, Money Flow indicators assess market sentiment, while RSI and Stochastic RSI offer detailed views of price momentum and potential reversals.
Ideal For
Traders who require a reliable, multifaceted tool for detecting market trends and reversals.
Investors seeking a deeper understanding of market dynamics across different timeframes and conditions, whether in forex, equities, or cryptocurrency markets.
This script is designed to provide a comprehensive tool for technical analysis, combining multiple indicators and divergence detection into one versatile and customizable script. It is especially useful for traders who want to monitor various indicators simultaneously and look for convergence or divergence signals across different technical tools.
Acknowledgements
Special thanks to these amazing creators for inspiration and their creations:
I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible!
vumanchu: VuManChu Cipher B Divergences.
MisterMoTa: RSI + Divergences + Alerts .
DevLucem: Plain Stochastic Divergence.
Note
This indicator is designed to be a powerful tool in your trading arsenal. However , it is essential to backtest and adjust the settings according to your trading strategy before applying it to live trading . If you have any questions or need further assistance, feel free to reach out.
Extended Engulfing CandleExtended Engulfing Candle Pattern Indicator
This indicator advances the standard engulfing candle pattern, capturing more reliable trend reversal signals in the market. Traditional engulfing candle patterns often lead to premature judgments of trend reversals, but the Extended Engulfing Indicator considers consecutive rising or falling candles to pinpoint more conservative trend reversal points.
Features:
Detection of Consecutive Rising/Falling Candles:
This indicator detects the occurrence of consecutive rising or falling candles, considering them when identifying extended engulfing candles. This creates a more potent reversal signal compared to single candle patterns.
Visual Display:
“U” and “D” labels are displayed at the top and bottom of the chart, clearly showing users the rising and falling engulfing patterns.
It only displays a label once, until a pattern in the opposite direction is shown.
Enhanced Accuracy:
By using the information from consecutive candles, the indicator captures trend reversals more conservatively and accurately. This reduces the number of false signals compared to traditional engulfing candle patterns.
How to Use:
When a rising engulfing candle pattern is displayed, it signifies the start of a potential upward trend. Conversely, when a falling engulfing candle pattern appears, it implies the beginning of a potential downward trend.
Caution:
Trading solely with this indicator has its limitations; hence users should cautiously integrate it with their trading strategies. Not all rising and falling engulfing patterns signify trend reversals.
Conclusion:
The Extended Engulfing Candle Pattern Indicator assists in identifying more reliable trend reversal points compared to the traditional engulfing candle patterns. By identifying the high and low points of consecutive candles, it minimizes false signals and helps traders make more accurate judgments on market movements.
확장 장악형 캔들 패턴 인디케이터
이 인디케이터는 표준 장악형 캔들 패턴을 발전시켜, 마켓에서 더 확실한 트렌드 전환 시그널을 포착합니다. 기존의 장악형 캔들 패턴은 종종 너무 이른 트렌드 전환 판단을 내리지만, 확장 장악형 인디케이터는 연속적인 상승 혹은 하락 캔들을 고려하여 더 보수적인 트렌드 전환점을 포착합니다.
특징:
연속 상승/하락 캔들 감지:
이 인디케이터는 연속적인 상승 또는 하락 캔들의 발생을 감지하여, 확장 장악형 캔들이 나타날 때 이를 고려합니다.
이는 단일 캔들 패턴보다 더 강력한 전환 시그널을 생성합니다.
시각적 표시:
차트의 상단과 하단에 “U”와 “D” 라벨을 표시하여, 사용자에게 상승 장악형 및 하락 장악형 패턴을 명확하게 보여줍니다.
반대 방향의 패턴이 나타날 때까지 라벨은 한 번만 표시됩니다.
개선된 정확도:
연속적인 캔들의 정보를 사용함으로써, 트렌드의 전환을 보다 보수적이고 정확하게 포착합니다.
이로 인해 기존의 장악형 캔들 패턴 대비 거짓 신호의 수가 줄어듭니다.
사용 방법:
상승 장악형 캔들 패턴이 표시되면, 이는 잠재적인 상승 트렌드의 시작을 나타냅니다.
반대로, 하락 장악형 캔들 패턴이 나타나면, 이는 잠재적인 하락 트렌드의 시작을 의미합니다.
주의사항:
이 지표만을 이용한 트레이딩에는 한계가 있을 수 있으므로 사용자는 본인의 트레이딩 전략과 결합하여 조심스럽게 사용해야 합니다. 모든 상승, 하락 장악형 패턴이 트렌드의 전환을 의미하지 않습니다.
결론:
확장 장악형 캔들 패턴 인디케이터는 기존의 장악형 캔들 패턴보다 더욱 신뢰할 수 있는 트렌드 전환 포인트를 식별할 수 있게 도와줍니다. 연속적인 캔들의 고점 및 저점을 식별함으로써 거짓 신호를 최소화하고, 트레이더들이 마켓의 움직임에 대해 보다 정확한 판단을 내릴 수 있게 합니다.
cphelperLibrary "cphelper"
ACPU helper library - for private use. Not so meaningful for others.
calculate_rr(targetArray, rrArray, breakevenOnTarget1)
calculates risk reward for given targets
Parameters:
targetArray (float ) : array of targets
rrArray (float ) : array of risk reward
breakevenOnTarget1 (simple bool) : option to breakeven
Returns: array rrArray
trendPairs(l1StartX, l1StartY, l1EndX, l1EndY, l2StartX, l2StartY, l2EndX, l2EndY, zgColor)
creates trendline pairs
Parameters:
l1StartX (int) : startX of first line
l1StartY (float) : startY of first line
l1EndX (int) : endX of first line
l1EndY (float) : endY of first line
l2StartX (int) : startX of second line
l2StartY (float) : startY of second line
l2EndX (int) : endX of second line
l2EndY (float) : endY of second line
zgColor (color) : line color
Returns:
find_type(l1t, l2t, channelThreshold)
Finds type based on trendline pairs
Parameters:
l1t (line) : line1
l2t (line) : line2
channelThreshold (simple float) : theshold for channel identification
Returns: pattern type and flags
getFlags(flags)
Flatten flags
Parameters:
flags (bool ) : array of flags
Returns: - flattened flags isChannel, isTriangle, isWedge, isExpanding, isContracting, isFlat, isRising, isFalling
getType(typeNum)
Get type based on type number
Parameters:
typeNum (int) : number representing type
Returns: String value of type
getStatus(status, maxStatus)
Get status based on integer value representations
Parameters:
status (int) : integer representing current status
maxStatus (int) : integer representing max status
Returns: String status value
calculate_simple_targets(trendLines, settingsMatrix, patternTypeMapping, patternType)
Calculate targets based on trend lines
Parameters:
trendLines (line ) : trendline pair array
settingsMatrix (matrix) : matrix containing settings
patternTypeMapping (string ) : array containing pattern type mapping
patternType (int) : pattern type
Returns: arrays containing long and short calculated targets
recalculate_position(patternTypeAndStatusMatrix, targetMatrix, index, pIndex, status, maxStatus, targetValue, stopValue, dir, breakevenOnTarget1)
Recalculate position values
Parameters:
patternTypeAndStatusMatrix (matrix) : matrix containing pattern type and status
targetMatrix (matrix) : matrix containing targets
index (int) : current index
pIndex (int) : pattern index
status (int) : current status
maxStatus (int) : max status reached
targetValue (float) : current target value
stopValue (float) : current stop value
dir (int) : direction
breakevenOnTarget1 (simple bool) : flag to breakeven upon target1
Returns: new status and maxStatus values
draw_targets(longTargets, shortTargets, index, labelColor, patternName, positionIndex, longMaxStatus, longStatus, shortMaxStatus, shortStatus, tempBoxes, tempLines, tempLabels)
Draw targets on chart
Parameters:
longTargets (matrix) : matrix containing long targets
shortTargets (matrix) : matrix containing short targets
index (int) : current index
labelColor (color) : color of lines and labels
patternName (string) : Pattern name
positionIndex (int) : position on the chart
longMaxStatus (int) : max status for long
longStatus (int) : long status value
shortMaxStatus (int) : max status for short
shortStatus (int) : short status value
tempBoxes (box ) : temporary box array
tempLines (line ) : temporary lines array
tempLabels (label ) : temporary labels array
Returns: void
populate_open_stats(patternIdArray, barMatrix, patternTypeAndStatusMatrix, patternColorArray, longTargets, shortTargets, patternRRMatrix, OpenStatPosition, lblSizeOpenTrades)
Populate open stats table
Parameters:
patternIdArray (int ) : pattern Ids
barMatrix (matrix) : matrix containing bars
patternTypeAndStatusMatrix (matrix) : matrix containing pattern type and status
patternColorArray (color ) : array containing current patter colors
longTargets (matrix) : matrix of long targets
shortTargets (matrix) : matrix of short targets
patternRRMatrix (matrix) : pattern risk reward matrix
OpenStatPosition (simple string) : table position
lblSizeOpenTrades (simple string) : text size
Returns: void
draw_pattern_label(trendLines, patternFlagMatrix, patternTypeAndStatusMatrix, patternColorArray, patternFlags, patternLabelArray, zgColor, patternType, drawLabel, clearOldPatterns, safeRepaint, maxPatternsReference)
Parameters:
trendLines (line )
patternFlagMatrix (matrix)
patternTypeAndStatusMatrix (matrix)
patternColorArray (color )
patternFlags (bool )
patternLabelArray (label )
zgColor (color)
patternType (int)
drawLabel (simple bool)
clearOldPatterns (simple bool)
safeRepaint (simple bool)
maxPatternsReference (simple int)
populate_closed_stats(patternTypeAndStatusMatrix, bullishCounts, bearishCounts, bullishRetouchCounts, bearishRetouchCounts, bullishSizeMatrix, bearishSizeMatrix, bullishRR, bearishRR, ClosedStatsPosition, lblSizeClosedTrades, showSelectivePatternStats, showPatternStats, showStatsInPercentage)
Parameters:
patternTypeAndStatusMatrix (matrix)
bullishCounts (matrix)
bearishCounts (matrix)
bullishRetouchCounts (matrix)
bearishRetouchCounts (matrix)
bullishSizeMatrix (matrix)
bearishSizeMatrix (matrix)
bullishRR (matrix)
bearishRR (matrix)
ClosedStatsPosition (simple string)
lblSizeClosedTrades (simple string)
showSelectivePatternStats (simple bool)
showPatternStats (simple bool)
showStatsInPercentage (simple bool)
