Swing & Day Trading Strategy dddddThis TradingView Pine Script is designed for swing and day trading, incorporating multiple technical indicators and tools to enhance decision-making. It calculates and plots exponential moving averages (EMAs) for 5, 9, 21, 50, and 200 periods to identify trends and crossovers. The Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) provide momentum and overbought/oversold signals. The script dynamically identifies and marks support and resistance levels based on recent highs and lows, while also detecting and labeling key candlestick patterns such as bullish and bearish engulfing, doji, and hammer candles. Bullish and bearish signals are highlighted on the chart with green and red backgrounds, respectively, and alerts are generated to notify traders of these conditions. All visualizations, including EMAs, support/resistance lines, and candlestick labels, are overlaid directly on the stock chart for easy interpretation. This comprehensive approach assists traders in spotting potential trading opportunities effectively.
Chart patterns
Parabolic SAR This script provides an enhanced implementation of the Parabolic SAR (Stop and Reverse) indicator, a popular tool for identifying potential trend reversals in financial markets. The script incorporates additional features for improved usability and trading decision-making:
Key Features:
Customizable Parameters:
Initial Acceleration Factor: Start value for the SAR calculation.
Increment: Step value that increases the SAR during a trend.
Maximum Acceleration Factor: Cap for the SAR to prevent over-adjustment.
Buy & Sell Signals:
Buy Signal: Triggered when the price crosses above the SAR.
Sell Signal: Triggered when the price crosses below the SAR.
Signals are displayed as visually intuitive labels ("Buy" and "Sell") on the chart.
Alerts Integration:
Configurable alerts for buy and sell signals, allowing users to stay informed without actively monitoring the chart.
Dynamic Candle Coloring:
Candlesticks are dynamically colored based on the most recent signal:
Green: Buy signal (bullish trend).
Red: Sell signal (bearish trend).
Elegant SAR Plot:
The SAR is plotted as cross-style markers with a visually appealing magenta color.
How to Use:
Adjust the Initial Acceleration Factor, Increment, and Maximum Acceleration Factor in the input settings to match your trading style.
Enable alerts to receive notifications when buy or sell signals are generated.
Use the colored candlesticks as an additional confirmation tool to visualize market trends directly on the chart.
Up Gap Strategy with DelayThis strategy, titled “Up Gap Strategy with Delay,” is based on identifying up gaps in the price action of an asset. A gap is defined as the percentage difference between the current bar’s open price and the previous bar’s close price. The strategy triggers a long position if the gap exceeds a user-defined threshold and includes a delay period before entering the position. After entering, the position is held for a set number of periods before being closed.
Key Features:
1. Gap Threshold: The strategy defines an up gap when the gap size exceeds a specified threshold (in percentage terms). The gap threshold is an input parameter that allows customization based on the user’s preference.
2. Delay Period: After the gap occurs, the strategy waits for a delay period before initiating a long position. This delay can help mitigate any short-term volatility that might occur immediately after the gap.
3. Holding Period: Once the position is entered, it is held for a user-defined number of periods (holdingPeriods). This is to capture the potential post-gap trend continuation, as gaps often indicate strong directional momentum.
4. Gap Plotting: The strategy visually plots up gaps on the chart by placing a green label beneath the bar where the gap condition is met. Additionally, the background color turns green to highlight up-gap occurrences.
5. Exit Condition: The position is exited after the defined holding period. The strategy ensures that the position is closed after this time, regardless of whether the price is in profit or loss.
Scientific Background:
The gap theory has been widely studied in financial literature and is based on the premise that gaps in price often represent areas of significant support or resistance. According to research by Kaufman (2002), gaps in price action can be indicators of future price direction, particularly when they occur after a period of consolidation or a trend reversal. Moreover, Gaps and their Implications in Technical Analysis (Murphy, 1999) highlights that gaps can reflect imbalances between supply and demand, leading to high momentum and potential price continuation or reversal.
In trading strategies, utilizing gaps with specific conditions, such as delay and holding periods, can enhance the ability to capture significant price moves. The strategy’s delay period helps avoid potential market noise immediately after the gap, while the holding period seeks to capitalize on the price continuation that often follows gap formation.
This methodology aligns with momentum-based strategies, which rely on the persistence of trends in financial markets. Several studies, including Jegadeesh & Titman (1993), have documented the existence of momentum effects in stock prices, where past price movements can be predictive of future returns.
Conclusion:
This strategy incorporates gap detection and momentum principles, supported by empirical research in technical analysis, to attempt to capitalize on price movements following significant gaps. By waiting for a delay period and holding the position for a specified time, it aims to mitigate the risk associated with early volatility while maximizing the potential for sustained price moves.
Nimu Market on DemandNimu Market On Demand is an innovative tool designed to provide a visual representation of market demand levels on a scale of 1 to 100. This scale is displayed at specific intervals , making it easy for users to understand market demand fluctuations in real time.
To enhance analysis, Nimu Market On Demand also incorporates the Relative Strength Index (RSI) with key thresholds at . RSI is a widely-used technical indicator that measures market strength and momentum, offering insights into overbought (excessive buying) or oversold (excessive selling) conditions.
The combination of the Demand graph and RSI enables users to:
Identify the right time to buy when the RSI falls below 30, signaling an oversold condition.
Determine the optimal time to sell when the RSI rises above 70, indicating an overbought condition.
With an integrated visualization, users can effortlessly observe demand patterns and combine them with RSI signals to make smarter and more strategic trading decisions. This tool is designed to help traders and investors maximize opportunities in a dynamic market environment.
Edufx AMD~Accumulation, Manipulation, DistributionEdufx AMD Indicator
This indicator visualizes the market cycles using distinct phases: Accumulation, Manipulation, Distribution, and Reversal. It is designed to assist traders in identifying potential entry points and understanding price behavior during these phases.
Key Features:
1. Phases and Logic:
-Accumulation Phase: Highlights the price range where market accumulation occurs.
-Manipulation Phase:
- If the price sweeps below the accumulation low, it signals a potential "Buy Zone."
- If the price sweeps above the accumulation high, it signals a potential "Sell Zone."
-Distribution Phase: Highlights where price is expected to expand and establish trends.
-Reversal Phase: Marks areas where the price may either continue or reverse.
2. Weekly and Daily Cycles:
- Toggle the visibility of Weekly Cycles and Daily Cycles independently through the settings.
- These cycles are predefined with precise timings for each phase, based on your selected on UTC-5 timezone.
3. Customizable Appearance:
- Adjust the colors for each phase directly in the settings to suit your preferences.
- The indicator uses semi-transparent boxes to represent the phases, allowing easy visualization without obstructing the chart.
4. Static Boxes:
- Boxes representing the phases are drawn only once for the visible chart range and do not dynamically delete, ensuring important consistent reference points.
SMA Trend Spectrum [InvestorUnknown]The SMA Trend Spectrum indicator is designed to visually represent market trends and momentum by using a series of Simple Moving Averages (SMAs) to create a color-coded spectrum or heatmap. This tool helps traders identify the strength and direction of market trends across various time frames within one chart.
Functionality:
SMA Calculation: The indicator calculates multiple SMAs starting from a user-defined base period (Starting Period) and increasing by a specified increment (Period Increment). This creates a sequence of moving averages that span from short-term to long-term perspectives.
Trend Analysis: Each segment of the spectrum compares three SMAs to determine the market's trend strength: Bullish (color-coded green) when the current price is above all three SMAs. Neutral (color-coded purple) when the price is above some but not all SMAs. Bearish (color-coded red) when the price is below all three SMAs.
f_col(x1, x2, x3) =>
min = ta.sma(src, x1)
mid = ta.sma(src, x2)
max = ta.sma(src, x3)
c = src > min and src > mid and src > max ? bull : src > min or src > mid or src > max ? ncol : bear
Heatmap Visualization: The indicator plots these trends as a vertical spectrum where each row represents a different set of SMAs, forming a heatmap-like display. The color of each segment in the heatmap directly correlates with market conditions, providing an intuitive view of market sentiment.
Signal Smoothing: Users can choose to smooth the trend signal using either a Simple Moving Average (SMA), Exponential Moving Average (EMA), or leave it as raw data (Signal Smoothing). The length of smoothing can be adjusted (Smoothing Length). The signal is displayed in a scaled way to automatically adjust for the best visual experience, ensuring that the trend is clear and easily interpretable across different chart scales and time frames
Additional Features:
Plot Signal: Optionally plots a line representing the average trend across all calculated SMAs. This line helps in identifying the overall market direction based on the spectrum data.
Bar Coloring: Bars on the chart can be colored according to the average trend strength, providing a quick visual cue of market conditions.
Usage:
Trend Identification: Use the heatmap to quickly assess if the market is trending strongly in one direction or if it's in a consolidation phase.
Entry/Exit Points: Look for shifts in color patterns to anticipate potential trend changes or confirmations for entry or exit points.
Momentum Analysis: The gradient from bearish to bullish across the spectrum can be used to gauge momentum and potentially forecast future price movements.
Notes:
The effectiveness of this indicator can vary based on market conditions, asset volatility, and the chosen SMA periods and increments.
It's advisable to combine this tool with other technical indicators or fundamental analysis for more robust trading decisions.
Disclaimer: Past performance does not guarantee future results. Always use this indicator as part of a broader trading strategy.
BARTU V1 MACD-RSI//@version=6
indicator('MACD ve RSI', overlay = false)
// MACD hesaplama
= ta.macd(close, 12, 26, 9)
macdHist = macdLine - signalLine
// RSI hesaplama
rsiLength = 14
rsiValue = ta.rsi(close, rsiLength)
// MACD çizimleri
hline(0, 'Sıfır Çizgisi', color = color.gray)
plot(macdLine, color = color.blue, title = 'MACD Hattı')
plot(signalLine, color = color.red, title = 'Sinyal Hattı')
plot(macdHist, color = color.green, style = plot.style_histogram, title = 'MACD Histogramı')
// RSI çizimleri
rsiOverbought = 70
rsiOversold = 30
hline(rsiOverbought, 'Aşırı Alım', color = color.red)
hline(rsiOversold, 'Aşırı Satım', color = color.green)
plot(rsiValue, color = color.orange, title = 'RSI')
// Arka Plan Renkleri
bgcolor(rsiValue > rsiOverbought ? color.new(color.red, 90) : na)
bgcolor(rsiValue < rsiOversold ? color.new(color.green, 90) : na)
MACD,RSI,EM9,WMA45 (Scale -100 đến 100)include: MACD,RSI,EM9,WMA45.
All indicators are fixed from -100 to 100.
Momentum Setup - Ankush Bajaj Momentum Investing SetupMomentum Setup - Ankush Bajaj Momentum Investing Setup
Momentum Setup - Ankush Bajaj Momentum Investing SetupMomentum Setup - Ankush Bajaj Momentum Investing Setup
EMA Crossover with RSI and DistanceEMA Crossover with RSI and Distance Strategy
This strategy combines Exponential Moving Averages (EMA) with Relative Strength Index (RSI) and distance-based conditions to generate buy, sell, and neutral signals. It is designed to help traders identify entry and exit points based on multiple technical indicators.
Key Components:
Exponential Moving Averages (EMA):
The strategy uses four EMAs: EMA 5, EMA 13, EMA 40, and EMA 55.
A buy signal (long) is triggered when EMA 5 crosses above EMA 13 and EMA 40 crosses above EMA 55.
A sell signal (short) is generated when EMA 55 crosses above EMA 40.
The distance between EMAs (5 and 13) is also important. If the current distance between EMA 5 and EMA 13 is smaller than the average distance over the last 5 candles, a neutral condition is triggered, preventing a signal even if all other conditions are met.
Relative Strength Index (RSI):
The 14-period RSI is used to determine market strength and direction.
The strategy requires RSI to be above 50 and greater than the average RSI (over the past 14 periods) for a buy signal.
If the RSI is above 60, a green signal is given, indicating a strong bullish condition, even if the EMA conditions are not fully met.
If the RSI is below 40, a red signal is given, indicating a strong bearish condition, regardless of the EMA crossover.
Distance Conditions:
The strategy calculates the distance between EMA 5 and EMA 13 on each candle and compares it to the average distance of the last 5 candles.
If the current distance between EMA 5 and EMA 13 is lower than the average of the last 5 candles, a neutral signal is triggered. This helps avoid entering a trade when the market is losing momentum.
Additionally, if the distance between EMA 40 and EMA 13 is greater than the previous distance, the previous signal is kept intact, ensuring that the trend is still strong enough for the signal to remain valid.
Signal Persistence:
Once a buy (green) or sell (red) signal is triggered, it remains intact as long as the price is closing above EMA 5 for long trades or below EMA 55 for short trades.
If the price moves below EMA 5 for long trades or above EMA 55 for short trades, the signal is recalculated based on the most recent conditions.
Signal Display:
Green Signals: Represent a strong buy signal and are shown below the candle when the RSI is above 60.
Red Signals: Represent a strong sell signal and are shown above the candle when the RSI is below 40.
Neutral Signals: Displayed when the conditions for entry are not met, specifically when the EMA distance condition is violated.
Long and Short Signals: Additional signals are shown based on the EMA crossovers and RSI conditions. These signals are plotted below the candle for long positions and above the candle for short positions.
Trade Logic:
Long Entry: Enter a long trade when EMA 5 crosses above EMA 13, EMA 40 crosses above EMA 55, and the RSI is above 50 and greater than the average RSI. Additionally, the current distance between EMA 5 and EMA 13 should be larger than the average distance of the last 5 candles.
Short Entry: Enter a short trade when EMA 55 crosses above EMA 40 and the RSI is below 40.
Neutral Condition: If the distance between EMA 5 and EMA 13 is smaller than the average distance over the last 5 candles, the strategy will not trigger a signal, even if other conditions are met.
EMA + Stochastic Strategy (day trading)Setup Instructions
Exponential Moving Averages (EMA):
Use two EMAs:
50-period EMA for the overall trend.
20-period EMA for shorter-term movements.
Trend Confirmation:
If the 20 EMA is above the 50 EMA, focus on buy opportunities.
If the 20 EMA is below the 50 EMA, focus on sell opportunities.
Stochastic Oscillator:
Set Stochastic to a 14, 3, 3 period (default).
Overbought level = 80; Oversold level = 20.
Look for crossovers:
Buy: Stochastic %K crosses above %D in the oversold zone (below 20).
Sell: Stochastic %K crosses below %D in the overbought zone (above 80).
Entry and Exit Rules
Buy Signal:
The 20 EMA is above the 50 EMA, confirming an uptrend.
The Stochastic Oscillator is in the oversold zone (below 20), and %K crosses above %D.
Enter when the price retraces to and bounces off the 20 EMA in the direction of the trend.
Sell Signal:
The 20 EMA is below the 50 EMA, confirming a downtrend.
The Stochastic Oscillator is in the overbought zone (above 80), and %K crosses below %D.
Enter when the price retraces to and rejects off the 20 EMA in the direction of the trend.
Stop Loss and Take Profit
Stop Loss:
For buy trades: Place the stop loss below the recent swing low.
For sell trades: Place the stop loss above the recent swing high.
Take Profit:
Use a risk-to-reward ratio of 1:2 or higher.
Alternatively, exit the trade when Stochastic reaches the opposite extreme (80 for buys, 20 for sells).
Example
Scenario: GBP/USD on a 15-minute chart.
The 20 EMA is above the 50 EMA, indicating an uptrend.
The Stochastic Oscillator dips below 20, and %K crosses above %D.
Enter a buy trade when the price bounces off the 20 EMA.
Place a stop loss below the nearest swing low and a take profit at twice the risk.
Tips for Success
Avoid Choppy Markets: Ensure the EMAs are diverging, and there’s a clear trend.
Use Stochastic for Confirmation: Only take trades when the Stochastic Oscillator aligns with the EMA trend.
Combine with Price Action:
Watch for candlestick patterns (e.g., pin bars, engulfing candles) near the 20 EMA for additional confirmation.
Practice Discipline: Stick to your stop-loss and take-profit rules.
HOD/LOD/PMH/PML/PDH/PDL Strategy by @tradingbauhaus This script is a trading strategy @tradingbauhaus designed to trade based on key price levels, such as the High of Day (HOD), Low of Day (LOD), Premarket High (PMH), Premarket Low (PML), Previous Day High (PDH), and Previous Day Low (PDL). Below, I’ll explain in detail what the script does:
Core Functionality of the Script:
Calculates Key Price Levels:
HOD (High of Day): The highest price of the current day.
LOD (Low of Day): The lowest price of the current day.
PMH (Premarket High): The highest price during the premarket session (before the market opens).
PML (Premarket Low): The lowest price during the premarket session.
PDH (Previous Day High): The highest price of the previous day.
PDL (Previous Day Low): The lowest price of the previous day.
Draws Horizontal Lines on the Chart:
Plots horizontal lines on the chart for each key level (HOD, LOD, PMH, PML, PDH, PDL) with specific colors for easy visual identification.
Defines Entry and Exit Rules:
Long Entry (Buy): If the price crosses above the PMH (Premarket High) or the PDH (Previous Day High).
Short Entry (Sell): If the price crosses below the PML (Premarket Low) or the PDL (Previous Day Low).
Long Exit: If the price reaches the HOD (High of Day) during a long position.
Short Exit: If the price reaches the LOD (Low of Day) during a short position.
How the Script Works Step by Step:
Calculates Key Levels:
Uses the request.security function to fetch the HOD and LOD of the current day, as well as the highs and lows of the previous day (PDH and PDL).
Calculates the PMH and PML during the premarket session (before 9:30 AM).
Plots Levels on the Chart:
Uses the plot function to draw horizontal lines on the chart representing the key levels (HOD, LOD, PMH, PML, PDH, PDL).
Each level has a specific color for easy identification:
HOD: White.
LOD: Purple.
PDH: Orange.
PDL: Blue.
PMH: Green.
PML: Red.
Defines Trading Rules:
Uses conditions with ta.crossover and ta.crossunder to detect when the price crosses key levels.
Long Entry: If the price crosses above the PMH or PDH, a long position (buy) is opened.
Short Entry: If the price crosses below the PML or PDL, a short position (sell) is opened.
Long Exit: If the price reaches the HOD during a long position, the position is closed.
Short Exit: If the price reaches the LOD during a short position, the position is closed.
Executes Orders Automatically:
Uses the strategy.entry and strategy.close functions to open and close positions automatically based on the defined rules.
Advantages of This Strategy:
Based on Key Levels: Uses important price levels that often act as support and resistance.
Easy to Visualize: Horizontal lines on the chart make it easy to identify levels.
Automated: Entries and exits are executed automatically based on the defined rules.
Limitations of This Strategy:
Dependent on Volatility: Works best in markets with significant price movements.
False Crosses: There may be false crosses that generate incorrect signals.
No Advanced Risk Management: Does not include dynamic stop-loss or take-profit mechanisms.
How to Improve the Strategy:
Add Stop-Loss and Take-Profit: To limit losses and lock in profits.
Filter Signals with Indicators: Use RSI, MACD, or other indicators to confirm signals.
Optimize Levels: Adjust key levels based on the asset’s behavior.
In summary, this script is a trading strategy that operates based on key price levels, such as HOD, LOD, PMH, PML, PDH, and PDL. It is useful for traders who want to trade based on significant support and resistance levels.
Ultra TrendlinesThis indicator automatically draws trendlines based on every pivot point, helping traders visualize key support and resistance levels. It dynamically adjusts as new pivots are detected and validates the trendlines against price movement.
Introduction
The Ultra Trendlines indicator is designed to help traders identify and track significant trendlines on their charts. By automatically detecting pivot points (both highs and lows), it draws trendlines that highlight key market movements. These trendlines are valuable for understanding the broader trend and for making informed trading decisions.
Detailed Description
The indicator analyzes price data to find pivot points highs and lows over a user-defined lookback period. Once a pivot is detected, it draws trendlines between the pivot points.
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Accuracy
To ensure accuracy, the indicator only keeps trendlines that are confirmed by price action. It checks if the price crosses the trendline and deletes invalid lines.
Additionally, it checks if the trendlines stay within predefined price thresholds, filtering out irrelevant lines that are too far from current price action.
The indicator also has an option to only show "rising lows" and "falling highs" trendlines, offering further precision in trend direction.
As new pivots are detected, older trendlines that fall outside the lookback period are removed, ensuring the chart remains clean.
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Style
The trendlines can extend forward (infinite and userdefined), backward, both or none. The lines are drawn with a customizable style (solid, dotted, or dashed), color, and width.
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Summary of Key Points
The indicator automatically detects pivot points (highs and lows) and draws trendlines based on them. It allows you to customize the style, color, and width of the trendlines. The indicator filters out invalid trendlines by checking if they are still relevant based on price action and price thresholds. Additionally, you can choose to only display rising lows and falling highs for more accurate trend analysis. It also removes outdated trendlines to keep the chart clean.
Entry-Exit pointThis indicator combines Bollinger Bands and RSI (Relative Strength Index) to generate entry and exit signals based on price movements and trend conditions.
### Key Features:
- **Bollinger Bands**: The indicator uses Bollinger Bands to assess volatility, with the upper and lower bands plotted around a simple moving average (SMA) of the price. The bands expand and contract based on the standard deviation, providing insights into potential overbought or oversold conditions.
- **RSI**: The RSI is used to determine if the price is overbought or oversold. In this case, it highlights conditions when the RSI is below 40 (oversold) for bullish signals and above 65 (overbought) for bearish signals.
- **Trend Analysis**: The indicator analyzes the previous high and low values to determine the market trend. It identifies uptrend and downtrend conditions based on recent price action.
- **Entry Signals**:
- **Bullish Entry (Green Arrows)**: A signal is generated when the price touches or dips below the lower Bollinger Band, the RSI is under 40, and the current candle shows a downtrend (lower high and low).
- **Bearish Entry (Red Arrows)**: A signal is triggered when the price touches or rises above the upper Bollinger Band, the RSI is above 65, and the current candle shows an uptrend (higher high and low).
### Visuals:
- **Green Up Arrows**: Indicate a potential bullish entry point, plotted below the bar.
- **Red Down Arrows**: Indicate a potential bearish entry point, plotted above the bar.
- **Bollinger Bands**: The upper and lower bands are shown in red and green, with the basis (SMA) in blue.
This indicator provides a clear, rule-based system for detecting potential price reversals based on both volatility (Bollinger Bands) and momentum (RSI), making it useful for traders looking to enter positions during strong trend reversals.
by Frank R.
Abraço primo Lucas Rodrigues
Squeeze Momentum Indicator [CHE] Squeeze Momentum Indicator
The Squeeze Momentum Indicator is an improved and simplified version of the classic Squeeze Momentum Indicator by LazyBear. It focuses on precise detection of squeeze phases without relying on Keltner Channels (KC) or complex momentum calculations. Instead, it emphasizes the dynamic analysis of Bollinger Band widths and their distance changes to provide clear and intuitive signals.
What is the Squeeze Momentum Indicator ?
This indicator helps you identify periods of low volatility (squeeze phases) when the market is often poised for significant moves. With its clear visualization and innovative methods, it enables traders to spot breakout opportunities early and trade strategically.
Differences from the Original LazyBear Indicator
1. Use of Bollinger Bands (BB):
- LazyBear Indicator combines Bollinger Bands with Keltner Channels. A squeeze is detected when the Bollinger Bands fall inside the Keltner Channels.
- CHE Indicator relies solely on Bollinger Bands and an additional analysis of their width (distance between the upper and lower bands). This makes the calculation more straightforward and reduces dependency on multiple indicator families.
2. Squeeze Detection:
- LazyBear: A squeeze is defined based on the relationship between Bollinger Bands and Keltner Channels. It has three states: “Squeeze On,” “Squeeze Off,” and “No Squeeze.”
- CHE: A squeeze is detected when the width of the Bollinger Bands falls below the lower "Distance Bollinger Bands." It only has two states: Squeeze Active and No Squeeze.
3. Momentum Calculation:
- LazyBear: Uses linear regression (LinReg) to calculate momentum and displays it as color-coded histograms.
- CHE: Does not include momentum calculations. The focus is entirely on volatility visualization and squeeze detection.
4. Visualization:
- LazyBear: Displays momentum histograms and horizontal lines to signal different states.
- CHE: Visualizes the width of the Bollinger Bands and their Distance Bollinger Bands as lines on the chart. The chart background turns green when a squeeze is detected, simplifying interpretation.
What Is Plotted?
1. Bollinger Band Width:
- A line representing the distance between the upper and lower Bollinger Bands, measuring market volatility.
2. Distance Bollinger Bands:
- Two additional lines (upper and lower Distance Bollinger Bands) based on the Bollinger Band width, defining thresholds for squeeze conditions.
3. Session-Specific Box:
- A dynamic box is drawn on the chart during a squeeze phase. The box marks the high and low of the market for the squeeze duration. It visually frames the range, helping traders monitor breakouts beyond these levels.
4. Max/Min Markers:
- The indicator dynamically updates and marks the maximum and minimum price levels during a squeeze. These levels can serve as breakout thresholds or critical reference points for price action.
5. Background Color:
- The chart background turns green when a squeeze is active (Bollinger Band width falls below the lower Distance Bollinger Bands). This highlights potential breakout conditions.
How to Use the CHE Indicator
1. Add the Indicator:
- Add the indicator to your chart and customize settings such as Bollinger Band length (`sqz_length`) and multiplier (`sqz_multiplier`) to fit your strategy.
2. Identify Squeeze Conditions:
- Watch for the green background, which signals a squeeze—indicating a period of low volatility where significant market moves often follow.
3. Monitor the Box and Max/Min Levels:
- During a squeeze, the box outlines the trading range, and the maximum and minimum levels are updated in real time. Use these as breakout triggers or support/resistance zones.
4. Session-Specific Analysis:
- The indicator can highlight squeezes during specific trading sessions (e.g., market open), allowing you to focus on key time frames.
5. Additional Confirmation:
- Combine the CHE Indicator with price action analysis or momentum tools to determine the direction of potential breakouts.
Why Use the Squeeze Momentum Indicator ?
- Simplicity: Clear visualization and reduced complexity by eliminating Keltner Channels and momentum calculations.
- Flexibility: Suitable for all markets—stocks, forex, crypto, and more.
- Enhanced Visualization: The box and max/min markers provide real-time visual cues for range-bound trading and breakout strategies.
- Efficiency: Focuses on what matters most—identifying volatility and squeeze phases.
With the Squeeze Momentum Indicator , you can take your trading strategy to the next level. Thanks to its clear design, dynamic range visualization, and innovative methods, you’ll recognize breakout opportunities earlier and trade with greater precision. Try it out and experience its user-friendliness and effectiveness for yourself!
WD Gann: Close Price X Bars Ago with Line or Candle PlotThis indicator is inspired by the principles of WD Gann, a legendary trader known for his groundbreaking methods in time and price analysis. It helps traders track the close price of a security from X bars ago, a technique that is often used to identify key price levels in relation to past price movements. This concept is essential for Gann’s market theories, which emphasize the relationship between time and price.
WD Gann’s analysis often revolved around specific numbers that he considered significant, many of which correspond to squared numbers (e.g., 1, 4, 9, 16, 25, 36, 49, 64, 81, 100, 121, 144, 169, 196, 225, 256, 289, 324, 361, 400, 441, 484, 529, 576, 625, 676, 729, 784, 841, 900, 961, 1024, 1089, 1156, 1225, 1296, 1369, 1444, 1521, 1600, 1681, 1764, 1849, 1936). These numbers are believed to represent natural rhythms and cycles in the market. This indicator can help you explore how past price levels align with these significant numbers, potentially revealing key price zones that could act as support, resistance, or reversal points.
Key Features:
- Historical Close Price Calculation: The indicator calculates and displays the close price of a security from X bars ago (where X is customizable). This method aligns with Gann's focus on price relationships over specific time intervals, providing traders with valuable reference points to assess market conditions.
- Customizable Plot Type: You can choose between two plot types for visualizing the historical close price:
- Line Plot: A simple line that represents the close price from X bars ago, ideal for those who prefer a clean and continuous representation.
- Candle Plot: Displays the close price as a candlestick chart, providing a more detailed view with open, high, low, and close prices from X bars ago.
- Candle Color Coding: For the candle plot type, the script color-codes the candles. Green candles appear when the close price from X bars ago is higher than the open price, indicating bullish sentiment; red candles appear when the close is lower, indicating bearish sentiment. This color coding gives a quick visual cue to market sentiment.
- Customizable Number of Bars: You can adjust the number of bars (X) to look back, providing flexibility for analyzing different timeframes. Whether you're conducting short-term or long-term analysis, this input can be fine-tuned to suit your trading strategy.
- Gann Method Application: WD Gann's methods involved analyzing price action over specific time periods to predict future movements. This indicator offers traders a way to assess how the price of a security has behaved in the past in relation to a chosen time interval, a critical concept in Gann's theories.
How to Use:
1. Input Settings:
- Number of Bars (X): Choose the number of bars to look back (e.g., 100, 200, or any custom period).
- Plot Type: Select whether to display the data as a Line or Candles.
2. Interpretation:
- Using the Line plot, observe how the close price from X bars ago compares to the current market price.
- Using the Candles plot, analyze the full price action of the chosen bar from X bars ago, noting how the close price relates to the open, high, and low of that bar.
3. Gann Analysis: Integrate this indicator into your broader Gann-based analysis. By looking at past price levels and their relationship to significant squared numbers, traders can uncover potential key levels of support and resistance or even potential reversal points. The historical close price can act as a benchmark for predicting future market movements.
Suggestions on WD Gann's Emphasis in Trading:
WD Gann’s trading methods were rooted in several key principles that emphasized the relationship between time and price. These principles are vital to understanding how the "Close Price X Bars Ago" indicator fits into his overall analysis:
1. Time Cycles: Gann believed that markets move in cyclical patterns. By studying price levels from specific time intervals, traders can spot these cycles and predict future market behavior. This indicator allows you to see how the close price from X bars ago relates to current market conditions, helping to spot cyclical highs and lows.
2. Price and Time Squaring: A core concept in Gann’s theory is that certain price levels and time periods align, often marking significant reversal points. The squared numbers (e.g., 1, 4, 9, 16, 25, etc.) serve as potential key levels where price and time might "square" to create support or resistance. This indicator helps traders spot these historical price levels and their potential relevance to future price action.
3. Geometric Angles: Gann used angles (like the 45-degree angle) to predict market movements, with the belief that prices move at specific geometric angles over time. This indicator gives traders a reference for past price levels, which could align with key angles, helping traders predict future price movement based on Gann's geometry.
4. Numerology and Key Intervals: Gann paid particular attention to numbers that held significance, including squared numbers and numbers related to the Fibonacci sequence. This indicator allows traders to analyze price levels based on these key numbers, which can help in identifying potential turning points in the market.
5. Support and Resistance Levels: Gann’s methods often involved identifying levels of support and resistance based on past price action. By tracking the close price from X bars ago, traders can identify past support and resistance levels that may become significant again in future market conditions.
Perfect for:
Traders using WD Gann’s methods, such as Gann angles, time cycles, and price theory.
Analysts who focus on historical price levels to predict future price action.
Those who rely on numerology and geometric principles in their trading strategies.
By integrating this indicator into your trading strategy, you gain a powerful tool for analyzing market cycles and price movements in relation to key time intervals. The ability to track and compare the historical close price to significant numbers—like Gann’s squared numbers—can provide valuable insights into potential support, resistance, and reversal points.
Disclaimer:
This indicator is based on the methods and principles of WD Gann and is for educational purposes only. It is not intended as financial advice. Trading involves significant risk, and you should not trade with money that you cannot afford to lose. Past performance is not indicative of future results. The use of this indicator is at your own discretion and risk. Always do your own research and consider consulting a licensed financial advisor before making any investment decisions.
Crawblanc by SiriusThe "Crawblanc by Sirius" is a Pine Script indicator designed for use on the TradingView platform. It implements an advanced ZigZag structure analysis with extended visualization options, offering traders a detailed representation of market patterns. Here's a breakdown of its features:
ZigZag Structure Detection:
Identifies market high and low points based on customizable depth, deviation, and backstep parameters.
Allows traders to observe directional changes (bullish or bearish) and significant trend reversals.
Customizable Visual Elements:
Display settings for lines, triangles, and labels associated with market structures.
Adjustable transparency, label size, and colors for bullish and bearish formations.
Optional display of triangle IDs and areas, calculated dynamically based on detected points.
Interactive Inputs:
Enables toggling between calculation methods (e.g., open/close vs. low/high prices).
Allows customization of transparency levels, line thickness, and label styles to suit individual preferences.
Advanced Calculations:
Triangle areas and center points are calculated for enhanced visualization.
Supports projection and center-point calculations to provide additional market insights.
Real-Time Updating:
Dynamically updates on price changes, deleting and redrawing lines and labels as necessary.
Displays point IDs and triangle areas, helping traders track ongoing market conditions.
Color Coding:
Distinct colors for bullish (green/blue tones) and bearish (red/yellow tones) phases.
Automatic color inversion for labels to ensure clear visibility on various backgrounds.
Extensibility:
Users can choose to extend lines or restrict them to specific areas.
Supports up to 500 lines, labels, and boxes, making it suitable for detailed analyses.
Use Case:
This indicator is highly beneficial for traders seeking to:
Identify support and resistance levels.
Analyze market patterns for entry and exit opportunities.
Understand complex structures like triangles and trends dynamically in real time.
The combination of user-friendly inputs and advanced visualization tools makes it ideal for technical analysts focused on improving decision-making through graphical insights.
Open_close AND HIGH_LOW_diffAverage of Absolute (Open - Close) Indicator
This indicator calculates the average of the absolute difference between the open and close prices of the last n candles and plots the result in a separate panel.
Key Features:
Customizable Period: Users can set the number of candles (n) to include in the average calculation.
Absolute Value Calculation: The script computes the absolute difference (|Open - Close|) for each candle, ensuring only positive values are averaged.
Separate Panel Visualization: The indicator is displayed in a separate panel below the main chart for clear and uncluttered analysis.
Red Plot: The average value is plotted with a bold red line for easy identification.
Use Cases:
Analyze the average volatility of price movements over a specified period.
Identify periods of consistent price differences between open and close levels.
Complement other volatility or trend-based indicators.
This tool is ideal for traders who want to monitor the consistency of price fluctuations and integrate it into their decision-making process.
How to Use:
Add the script to your TradingView chart.
Adjust the "Number of Candles" input to match your preferred look-back period.
Observe the red line in the separate panel to analyze the average absolute difference over time.
Feel free to reach out with suggestions or feedback to enhance the functionality of this script!
Improved G-Trend DetectionIt is the Improved version of G trend channel detection.
The Umair Trend Detection Indicator is a powerful tool designed to help traders identify potential buy and sell opportunities by combining dynamic price channels with RSI-based confirmation. This indicator is suitable for all types of financial markets, including stocks, forex, and cryptocurrencies.
Key Features:
Dynamic G-Channels
Calculates upper, lower, and average price channels based on the "G-Channel" methodology.
Helps identify market extremes and potential reversal points.
RSI Confirmation
Integrates RSI (Relative Strength Index) to filter buy and sell signals.
Avoids false signals by ensuring market momentum aligns with trend direction.
Buy/Sell Signals
Generates "Buy" signals when bullish conditions align with oversold RSI levels.
Generates "Sell" signals when bearish conditions align with overbought RSI levels.
Exit Signals
Provides optional exit points for both long and short positions using a buffer for confirmation.
Visual Clarity
Displays clearly plotted channels and average lines to help visualize price trends.
Buy and sell signals are marked with arrows for easy identification on the chart.
Custom Alerts
Offers customizable alerts for buy, sell, and exit conditions, ensuring traders never miss an opportunity.
Input Parameters:
Channel Length: Controls the sensitivity of the G-Channels.
Multiplier: Adjusts the width of the channels to suit different market conditions.
RSI Settings: Customize RSI length and thresholds for overbought/oversold conditions.
Exit Signal Buffer: Adds flexibility to the exit strategy by delaying signals for confirmation.
How It Helps:
The Umair Trend Detection Indicator is perfect for traders looking for an easy-to-use trend-following system with strong confirmation. By combining dynamic channels with RSI, it provides accurate and reliable signals to enter and exit trades, minimizing risks associated with false breakouts or trend reversals.
Use Cases:
Trend Trading: Identify and follow long-term trends with confidence.
Swing Trading: Spot reversals and capitalize on medium-term price movements.
Risk Management: Use exit signals to lock in profits or limit losses effectively.
This indicator is a versatile tool for both novice and experienced traders. Fine-tune its settings to align with your trading style and improve your decision-making in any market.
Swing Structure Scanner [LuxAlgo]The Swing Structure Scanner Indicator is a dashboard type indicator which displays a Consolidated "High/Low-Only" view of swing structure, with the capability to retrieve and display swing points from up to 6 different tickers and timeframes at once.
🔶 USAGE
This indicator displays swing structure data from up to 6 unique tickers or timeframes; Each graph represents the current swing structure retrieved from the requested chart/s.
Each swing graph displays the current live swing point positioning relative to the previous swing points. By analyzing the different formations, patterns can more easily be recognized and found across multiple tickers or timeframes at once.
This indicator serves as a nifty tool for confluence recognition, whether that's confluence throughout market tickers, or confluence through higher timeframes on the same ticker.
Alternatively, viewing the relative positioning of each swing point to each other, should give a clearer idea when higher lows or lower highs are formed. This can potentially indicate a newly forming trend, as well as serving as a warning to watch for breakouts.
The swing length can be changed to align with each individual's strategy, as well as a display look back can be adjusted to show more or less swing points at one time.
The display is fairly customizable, it is not fixed to 6 symbols at all times and can be minimized to only display the number of symbols needed; Additionally, the display can be set to vertical mode or horizontal(default) to utilize as needed.
Note: Hover over the swing point in the dashboard to get a readout of the exact price level of the swing point.
🔶 SETTINGS
Swing Length: Set the swing length for the structure calculations.
Swing Display Lookback: Sets the number of swing points (Pairs) to display in each Swing Graph display.
Symbols: Sets the Timeframe and Symbol for each Swing Graph.
Vertical Display: Display the Swing Graphs up and down, rather than side to side.
Scaling Factor: Scales the entire indicator up or down, to fit your needs.
