AutoCorrelation Test [OmegaTools]Overview
The AutoCorrelation Test indicator is designed to analyze the correlation patterns of a financial asset over a specified period. This tool can help traders identify potential predictive patterns by measuring the relationship between sequential returns, effectively assessing the autocorrelation of price movements.
Autocorrelation analysis is useful in identifying the consistency of directional trends (upward or downward) and potential cyclical behavior. This indicator provides an insight into whether recent price movements are likely to continue in a similar direction (positive correlation) or reverse (negative correlation).
Key Features
Multi-Period Autocorrelation: The indicator calculates autocorrelation across three periods, offering a granular view of price movement consistency over time.
Customizable Length & Sensitivity: Adjustable parameters allow users to tailor the length of analysis and sensitivity for detecting correlation.
Visual Aids: Three separate autocorrelation plots are displayed, along with an average correlation line. Dotted horizontal lines mark the thresholds for positive and negative correlation, helping users quickly assess potential trend continuation or reversal.
Interpretive Table: A table summarizing correlation status for each period helps traders make quick, informed decisions without needing to interpret the plot details directly.
Parameters
Source: Defines the price source (default: close) for calculating autocorrelation.
Length: Sets the analysis period, ranging from 10 to 2000 (default: 200).
Sensitivity: Adjusts the threshold sensitivity for defining correlation as positive or negative (default: 2.5).
Interpretation
Above 50 + Sensitivity: Indicates Positive Correlation. The price movements over the selected period are likely to continue in the same direction, potentially signaling a trend continuation.
Below 50 - Sensitivity: Indicates Negative Correlation. The price movements show a likelihood of reversing, which could signal an upcoming trend reversal.
Between 50 ± Sensitivity: Indicates No Correlation. Price movements are less predictable in direction, with no clear trend continuation or reversal tendency.
How It Works
The indicator calculates the logarithmic returns of the selected source price over each length period.
It then compares returns over consecutive periods, categorizing them as either "winning" (consistent direction) or "losing" (inconsistent direction) movements.
The result for each period is displayed as a percentage, with values above 50% indicating a higher degree of directional consistency (positive or negative).
A table updates with descriptive labels (Positive Correlation, Negative Correlation, No Correlation) for each tested period, providing a quick overview.
Visual Elements
Plots:
AutoCorrelation Test : Displays autocorrelation for the closest period (lag 1).
AutoCorrelation Test : Displays autocorrelation for the second period (lag 2).
AutoCorrelation Test : Displays autocorrelation for the third period (lag 3).
Average: Displays the simple moving average of the three test periods for a smoothed view of overall correlation trends.
Horizontal Lines:
No Correlation (50%): A baseline indicating neutral correlation.
Positive/Negative Correlation Thresholds: Dotted lines set at 50 ± Sensitivity, marking the thresholds for significant correlation.
Usage Guide
Adjust Parameters:
Select the Source to define which price metric (e.g., close, open) will be analyzed.
Set the Length based on your preferred analysis window (e.g., shorter for intraday trends, longer for swing trading).
Modify Sensitivity to fine-tune the thresholds based on market volatility and personal trading preference.
Interpret Table and Plots:
Use the table to quickly check the correlation status of each lag period.
Analyze the plots for changes in correlation. If multiple lags show positive correlation above the sensitivity threshold, a trend continuation may be expected. Conversely, negative values suggest a potential reversal.
Integrate with Other Indicators:
For enhanced insights, consider using the AutoCorrelation Test indicator in conjunction with other trend or momentum indicators.
This indicator offers a powerful method to assess market conditions, identify potential trend continuations or reversals, and better inform trading decisions. Its customization options provide flexibility for various trading styles and timeframes.
Indicators and strategies
Moving AveragesWhile this "Moving Averages" indicator may not revolutionize technical analysis, it certainly offers a valuable and efficient solution for traders seeking to streamline their chart analysis process. This all-in-one tool addresses a common frustration among traders: the need to constantly search for and compare different types and lengths of moving averages.
Key Features
The indicator allows for the configuration of up to 5 moving averages simultaneously, providing a comprehensive view of price trends. Users can choose from 7 types of moving averages for each line, including SMA, EMA, WMA, VWMA, HMA, SMMA, and TMA. This variety ensures that traders can apply their preferred moving average types without the need for multiple indicators.
Each moving average can be fully customized in terms of length, color, line style, and thickness, allowing for clear visual differentiation. However, what sets this indicator apart is its "Smart Opacity" feature. When activated, this option dynamically adjusts the transparency of the moving average lines based on their direction, with ascending lines appearing more opaque and descending lines more transparent. This subtle yet effective visual cue aids in quickly identifying trend changes and potential trading signals.
Advantages
The primary benefit of this indicator lies in its convenience. By consolidating multiple moving averages into a single, customizable tool, it saves traders valuable time and reduces chart clutter. The Smart Opacity feature, while not groundbreaking, does offer an intuitive way to visualize trend strength and direction at a glance.
Moreover, the indicator's flexibility makes it suitable for various trading styles and experience levels. Whether you're a novice trader learning to interpret basic trend signals or an experienced analyst fine-tuning a complex strategy, this tool can adapt to your needs.
In conclusion, while this "Moving Averages" indicator may not be a game-changer in the world of technical analysis, it represents a thoughtful refinement of a fundamental trading tool. By focusing on user convenience and visual clarity, it offers a practical solution for traders looking to optimize their chart analysis process and make more informed trading decisions.
DeNoised Momentum [OmegaTools]The DeNoised Momentum by OmegaTools is a versatile tool designed to help traders evaluate momentum, acceleration, and noise-reduction levels in price movements. Using advanced mathematical smoothing techniques, this script provides a "de-noised" view of momentum by applying filters to reduce market noise. This helps traders gain insights into the strength and direction of price trends without the distractions of market volatility. Key components include a DeNoised Moving Average (MA), a Momentum line, and Acceleration bars to identify trend shifts more clearly.
Features:
- Momentum Line: Measures the percentage change of the de-noised source price over a specified look-back period, providing insights into trend direction.
- Acceleration (Ret) Bars: Visualizes the rate of change of the source price, helping traders identify momentum shifts.
- Normal and DeNoised Moving Averages: Two moving averages, one based on close price (Normal MA) and the other on de-noised data (DeNoised MA), enable a comparison of smoothed trends versus typical price movements.
- DeNoised Price Data Plot: Displays the current de-noised price, color-coded to indicate the relationship between the Normal and DeNoised MAs, which highlights bullish or bearish conditions.
Script Inputs:
- Length (lnt): Sets the period for calculations (default: 21). It influences the sensitivity of the momentum and moving averages. Higher values will smooth the indicator further, while lower values increase sensitivity to price changes.
The Length does not change the formula of the DeNoised Price Data, it only affects the indicators calculated on it.
Indicator Components:
1. Momentum (Blue/Red Line):
- Calculated using the log of the percentage change over the specified period.
- Blue color indicates positive momentum; red indicates negative momentum.
2. Acceleration (Gray Columns):
- Measures the short-term rate of change in momentum, shown as semi-transparent gray columns.
3. Moving Averages:
- Normal MA (Purple): A standard simple moving average (SMA) based on the close price over the selected period.
- DeNoised MA (Gray): An SMA of the de-noised source, reducing the effect of market noise.
4. DeNoised Price Data:
- Represented as colored circles, with blue indicating that the Normal MA is above the DeNoised MA (bullish) and red indicating the opposite (bearish).
Usage Guide:
1. Trend Identification:
- Use the Momentum line to assess overall trend direction. Positive values indicate upward momentum, while negative values signal downward momentum.
- Compare the Normal and DeNoised MAs: when the Normal MA is above the DeNoised MA, it indicates a bullish trend, and vice versa for bearish trends.
2. Entry and Exit Signals:
- A change in the Momentum line's color from blue to red (or vice versa) may indicate potential entry or exit points.
- Observe the DeNoised Price Data circles for early signs of a trend reversal based on the interaction between the Normal and DeNoised MAs.
3. Volatility and Noise Reduction:
- By utilizing the DeNoised MA and de-noised price data, this indicator helps filter out minor fluctuations and focus on larger price movements, improving decision-making in volatile markets.
FMS Suite [KFB Quant]FMS Suite
Overview
The FMS Suite is a powerful and adaptive trend and momentum analysis tool that leverages multiple technical indicators to deliver a comprehensive signal for market direction. This suite combines the strengths of the Aroon, DMI, RSI, Supertrend, and Trix indicators, offering traders a well-rounded perspective on market trends.
How It Works
The FMS Suite integrates five essential components to assess market behavior:
Aroon Indicator : Detects trend strength and direction by analyzing the frequency of recent highs and lows over multiple timeframes. Directional Movement Index (DMI) : Measures the direction and strength of trends, with an ADX component for better trend assessment. Relative Strength Index (RSI) : Evaluates market momentum by indicating overbought or oversold conditions, with signals derived from the 50-line. Supertrend : Utilizes ATR-based volatility measures to establish dynamic support and resistance levels, signaling potential trend changes. Trix : A triple-smoothed EMA oscillator that highlights trend reversals using rate-of-change dynamics.
Each component is calculated across three separate timeframes (fast, medium, and slow), which are then averaged to produce a final FMS Signal . Users can also apply signal smoothing to reduce noise and enhance clarity.
Key Features
Customizable Parameters : Adjust the lengths for each component (fast, medium, slow) to optimize the indicator's responsiveness to different markets. Signal Smoothing Options : Select from various smoothing methods, including SMA, EMA, DEMA, and WMA, to fine-tune the FMS signal. Visual Representation : The FMS Suite plots a histogram representing the raw signal and a smoother line for clearer trend visualization. The background color shifts dynamically to indicate long, short, or neutral conditions. Threshold-Based Alerts : Set your own long and short thresholds, tailoring the indicator to your trading strategy and market outlook. Informative Table Display : An integrated table provides an at-a-glance summary of the current FMS and smoothed FMS signals, along with their respective scores and market state.
How to Use
Trend Confirmation : Utilize the FMS histogram and smoothed signal to validate or challenge existing trend assumptions. Trade Entries and Exits : Identify potential buy (long) or sell (short) signals based on the relationship between the FMS signal and predefined thresholds. Strategy Customization : Fine-tune the indicator settings to align with your trading style, whether it’s short-term scalping or long-term trend following.
Important Considerations
Not Predictive : The FMS Suite does not predict future price movements and should be used in conjunction with other analysis methods. It is based on historical price data, and past performance is not indicative of future results. Settings and Backtesting : Experiment with different lengths and smoothing techniques to optimize performance for specific instruments and market conditions. Always backtest thoroughly.
Disclaimer: This tool is provided for informational and educational purposes only and should not be considered as financial advice. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.
RSI Swing Indicator with 200 EMAThis indicator combines a custom RSI-based swing indicator with a 200-period Exponential Moving Average (EMA) to help identify potential reversal points and confirm trend direction.
RSI Swing Indicator: It uses RSI to detect overbought and oversold conditions. When RSI reaches these extreme levels, the indicator marks "swing points" on the chart, with labels showing "HH" (Higher High) or "LH" (Lower High) for overbought and "LL" (Lower Low) or "HL" (Higher Low) for oversold, based on recent price action.
200 EMA: The 200 EMA provides a long-term trend filter. Generally, prices above the 200 EMA suggest an uptrend, while prices below indicate a downtrend. This helps traders decide whether to take trades in the direction of the larger trend.
Ido strategy RSI Oversold with MACD Buy Signal Indicator
This indicator combines the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD) to help identify potential buy signals based on oversold conditions and trend reversals. This script is designed for traders looking to identify entry points when an asset is likely undervalued (oversold) and showing bullish momentum.
How It Works
RSI Oversold Detection: The RSI measures the speed and change of price movements. This indicator flags when the RSI falls below 30, signaling that the asset may be oversold. The user can customize the RSI lookback period and the timeframe within which oversold conditions are considered relevant.
MACD Crossover: The MACD line crossing above the Signal line often indicates a shift to bullish momentum. In this script, a buy signal is generated when a MACD bullish crossover occurs after an RSI oversold condition has been met within a user-defined lookback window.
Buy Signal: A green triangle appears below the price chart each time both conditions are met—when the RSI has recently been in oversold territory and the MACD line crosses above the Signal line. This signal suggests that the asset may be positioned for a potential upward trend, providing a visual cue for entry points.
Customizable Settings
RSI Settings: Adjust the RSI source and period length.
MACD Settings: Customize the fast, slow, and signal lengths of the MACD to suit different market conditions.
Lookback Period: Define how many bars back to check for an RSI oversold condition before confirming a MACD crossover.
Visual Elements
Oversold Background Color: The background on the price chart is shaded red whenever the RSI is below 30.
Buy Signal: A green triangle is displayed on the chart to indicate a potential entry point when both conditions are met.
Alerts
This indicator includes optional alerts, allowing traders to receive notifications whenever the conditions for a buy signal are met, making it easier to monitor multiple assets and stay informed of trading opportunities.
This indicator is ideal for traders using a combination of momentum and trend reversal strategies, especially in volatile markets where oversold conditions often precede a trend change.
RSI with Short and Long EMAIntroduction
This indicator overlays two Exponential Moving Averages (EMAs) directly onto the Relative Strength Index (RSI) to help traders identify momentum changes and potential trend shifts. The RSI (Relative Strength Index) is a popular momentum oscillator that measures the speed and change of price movements, generally used to spot overbought and oversold levels. Adding EMAs on top of the RSI can provide additional insight into RSI trends, smoothing out fluctuations and helping to identify crossovers that indicate potential buy or sell signals.
In this indicator:
Short EMA (default 20-period) is plotted on the RSI to track shorter-term momentum shifts within the RSI.
Long EMA (default 50-period) is used to track longer-term momentum within the RSI, providing a comparison for the shorter EMA.
How to Use
RSI Momentum: The RSI itself, plotted as a blue line, moves between 0 and 100, with 70 and 30 commonly representing overbought and oversold levels. When RSI is above 70, it signals potential overbought conditions, while below 30 signals oversold conditions.
Crossovers:
Bullish Signal: When the Short EMA (green line) crosses above the Long EMA (red line), it suggests increasing momentum and may signal a potential buying opportunity.
Bearish Signal: When the Short EMA crosses below the Long EMA, it indicates decreasing momentum and may signal a potential selling opportunity.
Confirming Trends:
When the RSI is above both EMAs, it often confirms an uptrend in momentum.
Conversely, when the RSI is below both EMAs, it may indicate a downtrend.
Overbought/Oversold Confirmation:
In overbought conditions (RSI > 70), watch for the Short EMA to cross below the Long EMA to confirm a potential pullback.
In oversold conditions (RSI < 30), look for the Short EMA to cross above the Long EMA to signal a potential recovery.
By analyzing these crossovers along with the RSI levels, you can gain insights into trend strength and potential reversals. This indicator is particularly useful for spotting early signs of a trend shift before price action reflects it.
Fibonacci Moving Average PlusFibonacci Moving Average Plus is a sophisticated technical indicator that employs the first 15 numbers of the Fibonacci sequence to create dynamic moving average channels. This indicator aims to capture both immediate and long-term price movements by calculating Exponential Moving Averages (EMAs) based on these Fibonacci values. By using Fibonacci-based moving averages for both high and low price points, the indicator generates a visual channel that reflects the ebb and flow of market trends, acting as potential zones of support and resistance. Additionally, the indicator provides midline, retracement, and extension levels rooted in Fibonacci ratios, which are frequently observed as key levels for reversals or trend continuation.
Ideology Behind Using Fibonacci Sequence-Based Moving Averages
The Fibonacci sequence, known for its mathematical harmony and prevalence in natural patterns, is widely utilized in technical analysis to identify potential turning points in markets. In this indicator, the first 15 Fibonacci numbers (5, 8, 13, 21, etc.) are used as the lookback periods for EMAs to capture different layers of market sentiment. These moving averages represent timeframes that are theoretically in alignment with the natural rhythms of market cycles, where key levels—often coinciding with Fibonacci numbers—can act as magnetic points for price.
The Fibonacci high and low channels aim to encapsulate price action, giving traders a sense of whether the market is trending, consolidating, or experiencing reversal pressure. These levels, grounded in both mathematics and market psychology, help traders spot areas where price might face resistance or find support.
Key Features
Fibonacci Moving Average High and Low: This indicator calculates the high and low EMAs based on Fibonacci sequence numbers (e.g., 5, 8, 13, etc.) for enhanced trend analysis.
Golden Pocket Retracement (GPR) and Extension (GPE) Bands: Displays common Fibonacci retracement and extension levels (0.618, 0.65 for retracement, and 1.618, 1.65 for extension).
Midline: Plots the average of the Fibonacci high and low to act as an additional reference level.
Stop-Loss Levels: Provides suggested stop-loss levels based on Fibonacci levels for both long and short positions.
Basic User Guide
Adjust Input Settings:
Input Timeframe: Set a specific timeframe for the Fibonacci moving average calculation, separate from the chart's primary timeframe.
Show Fibonacci MA High/Low: Toggle the visibility of the high and low Fibonacci moving averages.
Show Mid Line: Display a midline for added trend reference.
Show Golden Pocket Bands: Choose to display retracement or extension bands for potential support or resistance zones.
Show Stop-Loss Levels: Enable to visualize potential stop-loss levels for both long and short trades.
Interpretation:
Fibonacci MA High and Low: Use these lines to gauge the general trend. When the price is above both, it may indicate an uptrend; below both, a downtrend.
Golden Pocket Retracement: This zone (between 0.618 and 0.65) is often a key level for potential reversals or support/resistance.
Golden Pocket Extension: The 1.618 and 1.65 levels can indicate potential profit-taking or trend exhaustion points.
Stop-Loss Levels: The calculated stop-loss levels (long SL below and short SL above) can aid in risk management.
Customization:
You can customize the appearance and visibility of each component through the input settings to fit your specific strategy and visual preferences.
This indicator should be used alongside other technical analysis tools to provide a more comprehensive trading approach.
This Indicator would not exist without the original contributions and blessing from Sofien Kaabar
Injected Volume Footprint (IVF)Reading volume footprints to interpret buying and selling pressure involves examining the intensity and timing of buy/sell activity within each candle. Although this IVF indicator does not directly show the sequence of buying and selling events within a single candle (as a true footprint chart would), here’s how you can interpret the volume data presented by IVF to get insights on market pressure:
Step 1: Identifying Strong Pressure
Check Color Intensity:
Darker shades represent higher intensity for both buy and sell volumes.
Look for dark green shades for strong buying pressure and dark red or orange shades for strong selling pressure. This helps you quickly spot candles with a high level of activity on one or both sides.
Check Volume Stacking:
Since buy volumes are above the zero line and sell volumes are below, large differences between the two suggest dominance by one side.
If buy volume is significantly higher (e.g., tall green bar with a small red/yellow bar underneath), buying pressure is dominant. Conversely, if sell volume is larger (tall red/yellow bar with a small green bar above), selling pressure dominates.
Step 2: Interpreting Both Buy and Sell Activity
Simultaneous Pressure:
If you see strong green (buy) and red/yellow (sell) volumes within the same candle, it indicates that there was active trading on both sides during that period.
This scenario might suggest a battle between buyers and sellers—often seen near critical support or resistance levels where both sides are actively defending their positions.
Balance vs. Imbalance:
Balanced Pressure: When buy and sell volumes are similar in size, it indicates a period of indecision or a potential consolidation. This usually happens when neither buyers nor sellers have a clear upper hand.
Imbalanced Pressure: If one side has a much larger volume than the other, it shows a clear dominance. For instance, if green buy volume dominates, it means buyers were willing to absorb sell orders aggressively, suggesting a possible uptrend.
Step 3: Estimating Sequence (Hypothetical)
Although IVF doesn’t provide a direct sequence, you can make educated guesses based on context:
Price Action Context:
If the candle opens and initially moves down but then closes higher (bullish candle), it might indicate that selling pressure came first and buying pressure followed, pushing the price up.
Conversely, if the candle opens and moves up first but closes lower (bearish candle), buying might have started first but was overtaken by selling pressure.
Volume Reaction to Price Levels:
At support levels, if you see strong buy volumes with some sell volumes, it might mean initial selling pressure was absorbed by buyers defending the level.
At resistance levels, if sell volume increases with some buy activity, it may indicate initial buying was met by aggressive selling, potentially reversing the price.
Trend Context:
In an uptrend, strong sell volume within an otherwise bullish candle may indicate profit-taking or the start of a pullback, as sellers try to cap further gains.
In a downtrend, strong buy volume in a bearish candle may indicate potential accumulation or buyers attempting to slow the decline, signaling a possible reversal if the trend weakens.
Conclusion
The IVF indicator doesn’t provide the exact sequence of events within each candle like true footprint data would, but by analyzing the intensity, balance, and context within the price action, you can get a reasonable sense of which side was more aggressive and how both buying and selling pressures interacted.
Trend Spotter ProOverview
The Trend Spotter Pro is an advanced indicator designed to identify key BULLISH and BEARISH levels using the last 15 days of historical data. It calculates up to 7 levels with stop-loss , making it suitable for trading across all timeframes, from intraday to weekly.
Key Features
Historical Data Analysis: Uses the last 15 days of values to determine significant Bullish and Bearish levels.
Multi-Timeframe Compatibility: Works seamlessly across all timeframes, from intraday to weekly, allowing traders to apply the indicator to their preferred trading period.
Up to 7 Levels: Calculates and displays up to 7 levels.
User-Friendly Interface: Easy to interpret and integrate into your existing TradingView charts, Clear visual representation of bullish and bearish levels and can change colors as per requirement.
How to Use
Add the Trend Spotter Pro indicator to your TradingView chart. The indicator will automatically analyze the past 15 days of price data.
The indicator will display bullish and bearish levels with up to 7 levels guidelines with stop-loss on the chart.
Avoid 1st candle of 5mins time frame if high volatile
If open price of symbol already broke bullish / bearish level then avoid to use in that direction.
Make entry only once Bullish / Bearish levels are break above/ below respectively
Use trailing stop-loss strategy to get best result.
Previous 4-Hour and Previous Hourly High/LowDescription:
This script is designed to help traders identify recent support and resistance levels by displaying the Previous 4-Hour and Previous Hourly High/Low prices on the chart. By tracking the highs and lows of both the last completed 4-hour and hourly candles, this indicator provides a clear view of price action on short-term timeframes, useful for intraday analysis.
Functionality:
Previous 4-Hour High and Low: The script captures the highest and lowest prices of the last fully closed 4-hour candle, updating these levels at the beginning of each new 4-hour period.
Previous Hourly High and Low: Similarly, it records the high and low of the most recent completed hourly candle, refreshing at the start of each hour.
How to Use: With these levels displayed, traders can quickly spot areas of potential support and resistance, making this tool valuable for gauging short-term price action trends. The indicator is especially useful for those trading within shorter timeframes, such as scalpers or day traders, who benefit from knowing where prices have recently ranged.
The Previous 4-Hour High/Low is marked with Green and Red lines, while the Previous Hourly High/Low uses Blue and Orange lines, making each timeframe’s levels easily distinguishable.
This script offers a simple yet powerful addition to short-term trading setups, giving traders multi-timeframe insights to inform their trading decisions.
Effective Volume (ADV) v3Effective Volume (ADV) v3: Enhanced Accumulation/Distribution Analysis Tool
This indicator is an updated version of the original script by cI8DH, now upgraded to Pine Script v5 with added functionality, including the Volume Multiple feature. The tool is designed for analyzing Accumulation/Distribution (A/D) volume, referred to here as "Effective Volume," which represents the volume impact in alignment with price direction, providing insights into bullish or bearish trends through volume.
Accumulation/Distribution Volume Analysis : The script calculates and visualizes Effective Volume (ADV), helping traders assess volume strength in relation to price action. By factoring in bullish or bearish alignment, Effective Volume highlights points where volume strongly supports price movements.
Volume Multiple Feature for Volume Multiplication : The Volume Multiple setting (default value 2) allows you to set a multiplier to identify bars where Effective Volume exceeds the previous bar’s volume by a specified factor. This feature aids in pinpointing significant shifts in volume intensity, often associated with potential trend changes.
Customizable Aggregation Types : Users can choose from three volume aggregation types:
Simple - Standard SMA (Simple Moving Average) for averaging Effective Volume
Smoothed - RMA (Recursive Moving Average) for a less volatile, smoother line
Cumulative - Accumulated Effective Volume for ongoing trend analysis
Volume Divisor : The “Divide Vol by” setting (default 1 million) scales down the Effective Volume value for easier readability. This allows Effective Volume data to be aligned with the scale of the price chart.
Visualization Elements
Effective Volume Columns : The Effective Volume bar plot changes color based on volume direction:
Green Bars : Bullish Effective Volume (volume aligns with price movement upwards)
Red Bars : Bearish Effective Volume (volume aligns with price movement downwards)
Moving Average Lines :
Volume Moving Average - A gray line representing the moving average of total volume.
A/D Moving Average - A blue line showing the moving average of Accumulation/Distribution (A/D) Effective Volume.
High ADV Indicator : A “^” symbol appears on bars where the Effective Volume meets or exceeds the Volume Multiple threshold, highlighting bars with significant volume increase.
How to Use
Analyze Accumulation/Distribution Trends : Use Effective Volume to observe if bullish or bearish volume aligns with price direction, offering insights into the strength and sustainability of trends.
Identify Volume Multipliers with Volume Multiple : Adjust Volume Multiple to track when Effective Volume has notably increased, signaling potential shifts or strengthening trends.
Adjust Volume Display : Use the volume divisor setting to scale Effective Volume for clarity, especially when viewing alongside price data on higher timeframes.
With customizable parameters, this script provides a flexible, enhanced perspective on Effective Volume for traders analyzing volume-based trends and reversals.
Salman Indicator: Multi-Purpose Price ActionSalman Indicator: Multi-Purpose Price Action Tool for Pin Bars, Breakouts, and VWAP Anchoring
This indicator provides a comprehensive suite of price action insights, designed for active traders looking to identify key market structures and potential reversals. The script incorporates a Quarterly VWAP for trend bias, marks pin bars for possible reversal points, highlights outside bars for volatility signals, and indicates simple breakouts and pivot-level breaks. Customizable settings allow for flexibility in various trading styles, with default settings optimized for daily charts.
Outside Bars : Represented by an ⤬ symbol on the chart, these indicate bars where the current high is greater than the previous bar’s high, and the low is lower than the previous bar’s low, signaling high volatility and potential market reversals.
Pin Bars : Denoted by a small dot at the top or bottom of a candle’s wick, these are crucial signals of potential reversal areas. Pin bars are identified based on the percentage length of their shadows, with adjustable strictness in settings.
Quarterly VWAP : The light blue line on the chart represents the VWAP (Volume-Weighted Average Price), which is anchored to the Quarterly period by default. The VWAP acts as a directional bias filter, helping you to determine underlying market trends. This period, source, and offset are fully adjustable in the script’s settings.
Simple Breaks : Hollow candles on the chart indicate "simple breaks," defined when the current bar closes above the previous high or below the previous low. This is an effective way to highlight directional momentum in the market.
Bonus Pivot Breaks : The tilde symbol ~ appears when the price closes above or below prior pivot high/low levels, helping traders spot significant breakout or breakdown points relative to recent pivots.
Alerts
Simple Breaks : Alerts you when a breakout occurs beyond the previous bar’s high or low. Pin Bars : Notifies you of potential reversal points as indicated by bullish or bearish pin bars. Outside Bars : Triggers an alert whenever an outside bar is detected, indicating possible volatility changes.
How to Use
VWAP for Trend Bias : Use the Quarterly VWAP line to gauge overall market trend, with settings that allow adjustment to daily, weekly, monthly, or even larger time frames.
Pin Bars for Reversal Potential : Look for the dot markers on candle wicks, where the strictness of the pin bar detection can be adjusted via settings to match your trading preference.
Simple and Pivot Breaks for Momentum : Watch for hollow candles and the tilde symbol ~ as indicators of potential breakout momentum and pivot break levels, respectively.
This script can serve traders on multiple timeframes, from daily to weekly and beyond. The flexible configuration allows for adjustments in VWAP anchoring and pin bar criteria, providing a tailored fit for individual trading strategies.
Cumulative Volume Delta Custom AlertDescription
This script calculates and visualizes the Cumulative Volume Delta (CVD) on multiple timeframes, enabling traders to monitor volume-based price action dynamics. The CVD is calculated based on up and down volume approximations and displayed as a candle plot, with color-coded alerts when significant changes occur.
Key Features:
Multi-Timeframe Analysis: The script uses a customizable anchor period and a lower timeframe for scanning, allowing it to capture more granular volume movements.
Volume-Based Trend Detection: Plots CVD candles with color indicators (teal for increasing volume delta, red for decreasing), helping traders to visually track volume trends.
Dynamic Alerts for Volume Shifts:
Triggers an alert when there is a significant (over 25%) change in CVD between consecutive periods.
The alert marker color adapts based on the current CVD value:
Blue when the current CVD is positive.
Yellow when the current CVD is negative.
Markers are placed above bars for volume increases and below for volume decreases, simplifying visual analysis.
Customizable Background Highlight: Adds a background highlight to emphasize significant CVD changes.
Use Cases:
Momentum Detection: Traders can use alerts on large volume delta changes to identify potential trend reversals or continuation points.
Volume-Driven Analysis: CVD helps distinguish buy and sell pressure across different timeframes, ideal for volume-based strategies.
How to Use
Add the script to your TradingView chart.
Configure the anchor and lower timeframes in the input settings.
Set up alerts to receive notifications when a 25% change in CVD occurs, with color-coded markers for easy identification.
Chessboard Support & ResistanceThe “Chessboard Support & Resistance” indicator is designed to assist traders in visualizing key levels of support and resistance on a chart by employing ATR (Average True Range) to create dynamic horizontal zones. This indicator automatically plots robust support and resistance bands that can help identify potential areas where price may reverse, consolidate, or react. These levels are particularly beneficial for traders who employ concepts like Smart Money analysis, as they illustrate zones where institutional trading activity might occur.
How It Works:
• The indicator uses ATR-based calculations to determine the placement of the support and resistance zones. This approach accounts for market volatility, making the zones adaptive to changing conditions.
• The Zone Thickness parameter allows users to customize the width of the plotted zones, enhancing visibility and fitting them to their specific trading style.
• The support and resistance zones extend horizontally across the chart, providing clear reference points for potential price reactions.
Practical Application:
• Trend Analysis: Identify areas of significant price resistance and support to understand potential turning points or trends in the market.
• Risk Management: Use these zones to better inform stop-loss placements or set profit targets.
• Confirmation Tool: Combine the indicator with other technical analysis tools for confirmation of potential trade entries or exits.
Customization Options:
• Change the colors of the support and resistance zones for better integration with different chart themes.
• Adjust the ATR Length and Multiplier to fine-tune the sensitivity of the zones based on personal preferences and the characteristics of the asset being analyzed.
Disclaimer:
This indicator is for educational and informational purposes only. It is not intended to serve as investment advice or a recommendation to buy or sell any financial instrument. Always perform your own research and consider consulting with a financial professional before making trading decisions. Trading involves significant risk, and past performance does not guarantee future results.
VolWRSI### Description of the `VolWRSI` Script
The `VolWRSI` script is a TradingView Pine Script indicator designed to provide a volume-weighted Relative Strength Index (RSI) combined with abnormal activity detection in both volume and price. This multi-faceted approach aims to enhance trading decisions by identifying potential market conditions influenced by both price movements and trading volume.
#### Key Features
1. **Volume-Weighted RSI Calculation**:
- The core of the script calculates a volume-weighted RSI, which gives more significance to price movements associated with higher volume. This helps traders understand the strength of price movements more accurately.
2. **Abnormal Activity Detection**:
- The script includes calculations for abnormal volume and price changes using standard deviation (SD) multiples. This feature alerts traders to potential unusual activity, which could indicate upcoming volatility or market manipulation.
3. **Market Structure Filtering**:
- The script assesses market structure by identifying pivot highs and lows, allowing for better contextual analysis of price movements. This includes identifying bearish and bullish divergences, which can signal potential reversals.
4. **Color-Coded Signals**:
- The indicator visually represents market conditions using different bar colors for various scenarios, such as bearish divergence, likely price manipulation, and high-risk moves on low volume. This allows traders to quickly assess market conditions at a glance.
5. **Conditional Signal Line**:
- The signal line is displayed only when institutional activity conditions are met, remaining hidden otherwise. This adds an extra layer of filtering to prevent unnecessary signals, focusing only on significant market moves.
6. **Overbought and Oversold Levels**:
- The script defines overbought and oversold thresholds, enhancing the trader's ability to spot potential reversal points. Color gradients help visually distinguish between these critical levels.
7. **Alerts**:
- The script includes customizable alert conditions for various market signals, including abnormal volume spikes and RSI crossings over specific thresholds. This keeps traders informed in real-time, enhancing their ability to act promptly.
#### Benefits of Using the `VolWRSI` Script
- **Enhanced Decision-Making**: By integrating volume into the RSI calculation, the script helps traders make more informed decisions based on the strength of price movements rather than price alone.
- **Early Detection of Market Manipulation**: The abnormal activity detection can help traders identify potentially manipulative market behavior, allowing them to act or adjust their strategies accordingly.
- **Visual Clarity**: The use of color-coding and graphical elements (such as shapes and fills) provides clear visual cues about market conditions, which can be especially beneficial for traders who rely on quick visual assessments.
- **Risk Management**: The identification of high-risk low-volume moves helps traders manage their exposure better, potentially avoiding trades that may lead to unfavorable outcomes.
- **Reduced Noise with Institutional Activity Filtering**: The conditional signal line only plots when institutional activity conditions are detected, providing higher confidence in signals by excluding lower-conviction setups.
- **Customization**: With adjustable parameters for length, thresholds, and colors, traders can tailor the script to their specific trading styles and preferences.
Overall, the `VolWRSI` script combines technical analysis tools in a coherent framework, aiming to provide traders with deeper insights into market dynamics and higher-quality trade signals, potentially leading to more profitable trading decisions.
Dynamic Trading Strategy with Key Levels, Entry/Exit ManagementThis indicator provides a complete rule-based trading system, combining key levels, entry conditions, stop loss (SL), and take profit (TP) management. It’s designed to dynamically adapt to market conditions by identifying crucial support and resistance zones, determining entry points based on price action and volume, and calculating risk-based exit targets.
Key Features
Key Level Identification:
The indicator automatically identifies support and resistance levels based on recent price highs and lows within a customizable lookback period.
It adds a dynamic buffer around these levels using the Average True Range (ATR) to account for market volatility, ensuring the zones adjust to changing conditions.
Entry Conditions:
Bullish Entry: Triggers near the support zone when there’s upward price action, confirmed by volume spikes and bullish candlestick patterns (e.g., hammers, engulfing candles).
Bearish Entry: Triggers near the resistance zone when signs of rejection appear, confirmed by volume spikes and bearish candlestick patterns (e.g., shooting stars, bearish engulfing).
Entry zones are highlighted visually on the chart using green (bullish) and red (bearish) shaded boxes.
Stop Loss (SL) and Take Profit (TP):
Stop Loss: Calculated based on ATR multipliers, allowing you to set a volatility-adjusted risk level beyond the entry range.
Take Profit: Includes two profit-taking levels (TP1 and TP2), allowing for partial position exits. TP levels are calculated based on a reward-to-risk ratio, ensuring consistent profitability targets.
SL and TP levels are clearly marked with horizontal lines and labeled as SL, TP1, and TP2, helping you manage trade exits effectively.
Market Context Adaptability:
The indicator adapts to both trending and ranging market conditions. In trending markets, it favors trades that follow the trend, while in ranging markets, it focuses on reversals within the range boundaries.
Visual Aids:
Entry zones are highlighted with shaded boxes to indicate potential buy/sell regions.
SL, TP1, and TP2 levels are clearly drawn with labels, allowing for easy identification of exit points.
How to Use
Identify Key Levels: Look for support and resistance zones highlighted by the indicator on your chart.
Wait for Entry Conditions: When the price enters the entry range (marked by green or red boxes), wait for confirmation signals—such as volume spikes and candlestick patterns.
Manage Exits: Use the SL, TP1, and TP2 levels for structured trade management. Consider scaling out partially at TP1 and exiting fully at TP2.
Ideal For:
This indicator is suitable for traders who prefer a systematic approach to trading, with clear entry and exit rules. It is particularly helpful for those looking to balance risk and reward with well-defined take profit and stop loss levels.
Checkmate Multi-timeframe Trend Analysis [Rogers1906]The “Checkmate Multi-timeframe Trend Analysis ” is a comprehensive Pine Script™-based indicator designed to enhance technical trading strategies by integrating multiple technical analysis components. This tool serves as a robust companion for traders aiming to identify trends, shifts in momentum, and potential buy/sell signals with greater confidence. The tool applies various technical concepts such as moving averages, supply and demand zones, momentum oscillators, and linear regression for trend forecasting.
Components and Features:
1. EMA Line:
• Definition: The indicator calculates a 7-period Exponential Moving Average (EMA) to track the current positioning of price in relation to its recent average.
• Purpose: The EMA provides insights into the short-term trend direction and potential support/resistance levels.
2. Supply and Demand Zones:
• Definition: Uses a 20-period lookback to identify recent highs (supply) and recent lows (demand), which are plotted on the chart as zones.
• Purpose: These zones represent critical price levels where potential reversals or breakouts may occur, assisting in anticipating significant market movements.
3. Candle Coloring Based on Stochastic RSI and Williams %R:
• Definition: Changes the color of candles according to overbought/oversold conditions detected by the Stochastic RSI and Williams %R indicators.
• Purpose: Candle colors reflect current market sentiment, helping traders quickly identify key moments for entering or exiting trades based on momentum shifts.
• Color Definitions:
• Color 0 (Change of Momentum): Indicates a potential shift or pause in momentum.
• Color 1 (Bearish Reversal): Signals a reversal pattern to a bearish trend.
• Color 2 (Bullish Reversal): Signals a reversal pattern to a bullish trend.
• Color 3 (Bullish Confirmation Candle): Confirms continued bullish momentum.
• Color 4 (Bearish Confirmation Candle): Confirms continued bearish momentum.
4. Machine Learning Trendline:
• Definition: A linear regression line serves as a simplified machine learning trend estimator plotted over a user-defined period.
• Purpose: This line provides a visual cue for understanding overall price direction and trend strength, aiding in the anticipation of future price action.
5. Slingshot Momentum Tracker:
• Definition: Utilizes a Rate of Change (ROC) indicator to track momentum shifts, displaying buy/sell points when the momentum crosses the zero line.
• Purpose: Marks potential buy or sell moments, visually indicated on the chart, to help traders make timely decisions based on market momentum changes.
Disclaimer:
This indicator is designed for educational and informational purposes only and should not be considered as financial advice. Trading involves significant risk, and past performance does not guarantee future results. It is essential to perform your own due diligence before making any financial decisions. As markets shift, so must trading strategies. Use this tool as part of a comprehensive trading plan that includes risk management and continuous evaluation.
Price Percentage IndicatorPrice Percent for every candle. It shows percent above every candle. Shadows included
Williams %R - Multi TimeframeThis indicator implements the William %R multi-timeframe. On the 1H chart, the curves for 1H (with signal), 4H, and 1D are displayed. On the 4H chart, the curves for 4H (with signal) and 1D are shown. On all other timeframes, only the %R and signal are displayed. The indicator is useful to use on 1H and 4H charts to find confluence among the different curves and identify better entries based on their alignment across all timeframes. Signals above 80 often indicate a potential bearish reversal in price, while signals below 20 often suggest a bullish price reversal.
RBF Kijun Trend System [InvestorUnknown]The RBF Kijun Trend System utilizes advanced mathematical techniques, including the Radial Basis Function (RBF) kernel and Kijun-Sen calculations, to provide traders with a smoother trend-following experience and reduce the impact of noise in price data. This indicator also incorporates ATR to dynamically adjust smoothing and further minimize false signals.
Radial Basis Function (RBF) Kernel Smoothing
The RBF kernel is a mathematical method used to smooth the price series. By calculating weights based on the distance between data points, the RBF kernel ensures smoother transitions and a more refined representation of the price trend.
The RBF Kernel Weighted Moving Average is computed using the formula:
f_rbf_kernel(x, xi, sigma) =>
math.exp(-(math.pow(x - xi, 2)) / (2 * math.pow(sigma, 2)))
The smoothed price is then calculated as a weighted sum of past prices, using the RBF kernel weights:
f_rbf_weighted_average(src, kernel_len, sigma) =>
float total_weight = 0.0
float weighted_sum = 0.0
// Compute weights and sum for the weighted average
for i = 0 to kernel_len - 1
weight = f_rbf_kernel(kernel_len - 1, i, sigma)
total_weight := total_weight + weight
weighted_sum := weighted_sum + (src * weight)
// Check to avoid division by zero
total_weight != 0 ? weighted_sum / total_weight : na
Kijun-Sen Calculation
The Kijun-Sen, a component of Ichimoku analysis, is used here to further establish trends. The Kijun-Sen is computed as the average of the highest high and the lowest low over a specified period (default: 14 periods).
This Kijun-Sen calculation is based on the RBF-smoothed price to ensure smoother and more accurate trend detection.
f_kijun_sen(len, source) =>
math.avg(ta.lowest(source, len), ta.highest(source, len))
ATR-Adjusted RBF and Kijun-Sen
To mitigate false signals caused by price volatility, the indicator features ATR-adjusted versions of both the RBF smoothed price and Kijun-Sen.
The ATR multiplier is used to create upper and lower bounds around these lines, providing dynamic thresholds that account for market volatility.
Neutral State and Trend Continuation
This indicator can interpret a neutral state, where the signal is neither bullish nor bearish. By default, the indicator is set to interpret a neutral state as a continuation of the previous trend, though this can be adjusted to treat it as a truly neutral state.
Users can configure this setting using the signal_str input:
simple string signal_str = input.string("Continuation of Previous Trend", "Treat 0 State As", options = , group = G1)
Visual difference between "Neutral" (Bottom) and "Continuation of Previous Trend" (Top). Click on the picture to see it in full size.
Customizable Inputs and Settings:
Source Selection: Choose the input source for calculations (open, high, low, close, etc.).
Kernel Length and Sigma: Adjust the RBF kernel parameters to change the smoothing effect.
Kijun Length: Customize the lookback period for Kijun-Sen.
ATR Length and Multiplier: Modify these settings to adapt to market volatility.
Backtesting and Performance Metrics
The indicator includes a Backtest Mode, allowing users to evaluate the performance of the strategy using historical data. In Backtest Mode, a performance metrics table is generated, comparing the strategy's results to a simple buy-and-hold approach. Key metrics include mean returns, standard deviation, Sharpe ratio, and more.
Equity Calculation: The indicator calculates equity performance based on signals, comparing it against the buy-and-hold strategy.
Performance Metrics Table: Detailed performance analysis, including probabilities of positive, neutral, and negative returns.
Alerts
To keep traders informed, the indicator supports alerts for significant trend shifts:
// - - - - - ALERTS - - - - - //{
alert_source = sig
bool long_alert = ta.crossover (intrabar ? alert_source : alert_source , 0)
bool short_alert = ta.crossunder(intrabar ? alert_source : alert_source , 0)
alertcondition(long_alert, "LONG (RBF Kijun Trend System)", "RBF Kijun Trend System flipped ⬆LONG⬆")
alertcondition(short_alert, "SHORT (RBF Kijun Trend System)", "RBF Kijun Trend System flipped ⬇Short⬇")
//}
Important Notes
Calibration Needed: The default settings provided are not optimized and are intended for demonstration purposes only. Traders should adjust parameters to fit their trading style and market conditions.
Neutral State Interpretation: Users should carefully choose whether to treat the neutral state as a continuation or a separate signal.
Backtest Results: Historical performance is not indicative of future results. Market conditions change, and past trends may not recur.
Custom Volume for scalping### **Indicator Summary: Custom Volume with Arrow Highlight**
#### **Purpose:**
This indicator visualizes volume bars in a chart, highlighting specific conditions based on volume trends. It displays arrows above the volume bars to indicate potential bullish or bearish market conditions.
#### **Key Features:**
1. **Volume Bars**:
- The indicator plots volume as columns on the chart.
- Volume bars are colored:
- **White** for bullish volume (when the closing price is higher than the opening price).
- **Blue** for bearish volume (when the closing price is lower than the opening price).
2. **Highlight Conditions**:
- The indicator identifies a sequence of three consecutive volume bars:
- The first two bars must be of the same direction (either both bullish or both bearish).
- The third bar must be of the opposite direction.
- Additionally, the third bar's volume must be greater than the previous bar's volume.
3. **Arrow Indicators**:
- When the highlight conditions are met:
- An **upward arrow** ("▲") is placed above the third volume bar for bullish conditions (when the third bar is bullish).
- A **downward arrow** ("▼") is placed above the third volume bar for bearish conditions (when the third bar is bearish).
- The arrows are colored to match the respective volume bar: white for bullish and blue for bearish.
4. **Adjustable Size**:
- The arrows are sized appropriately to ensure visibility without cluttering the chart.
#### **Use Cases:**
- This indicator can help traders identify potential reversals or continuation patterns based on volume behavior.
- It is particularly useful for traders focusing on volume analysis to confirm market trends and make informed trading decisions.
#### **Customization:**
- Users can modify the conditions and visual attributes according to their preferences, such as changing colors, sizes, and label positions.
### **Conclusion:**
The "Custom Volume with Arrow Highlight" indicator provides a straightforward and effective way to visualize volume trends and identify key market conditions, aiding traders in their decision-making processes. It combines the power of volume analysis with clear visual cues, making it a valuable tool for technical analysis in trading.
If you need any further modifications or details, let me know!
Trend IdentifierThe “Trend Identifier” indicator is designed to help traders quickly identify trending and sideways market conditions, allowing them to adapt their strategies based on the prevailing market sentiment. By combining several technical analysis tools—ATR (Average True Range), ADX (Average Directional Index), EMA (Exponential Moving Average), and RSI (Relative Strength Index)—this script provides insights into the market’s strength, direction, and volatility to improve trade decision-making.
How It Works
1. ATR (Average True Range):
• ATR measures market volatility. In this script, ATR is used in combination with a moving average to identify periods of rising or falling volatility, which helps differentiate between trending and non-trending conditions.
2. ADX (Average Directional Index):
• ADX is a key component in identifying the strength of a trend. The script uses a threshold system to classify market conditions:
• If ADX is low (below a specified threshold plus a buffer) and ATR indicates low volatility, the market is likely in a sideways condition.
• If ADX is high (above a threshold minus a buffer) with increasing ATR, the market is likely in a trending condition.
3. EMA (Exponential Moving Average):
• A 20-period EMA is used instead of a simple moving average to enhance trend detection speed. The close price’s position relative to the EMA helps identify bullish or bearish trends when combined with ADX and ATR data.
4. RSI (Relative Strength Index):
• RSI acts as a confirmation tool for trend strength. A bullish trend is confirmed if RSI is above 50 and the price is above the EMA, whereas a bearish trend is confirmed if RSI is below 50 and the price is below the EMA.
Market Condition Signals
• Sideways Signal:
• When ADX and ATR indicate a low-volatility, sideways market, the indicator changes the background color to gray, signaling potential low-trend movement or consolidation. A “S” symbol appears above the bars, making it easier to spot this condition.
• Bullish Trend:
• When conditions favor a strong upward trend, the background changes to green. A “B” symbol is displayed below the bar, indicating the onset of a bullish market condition.
• Bearish Trend:
• Conversely, if conditions indicate a downward trend, the background color changes to red. A “S” symbol is displayed below the bar, showing a bearish trend condition.
Using the Indicator
This indicator helps traders understand the current market structure in a glance:
• Sideways (Gray): Low-volatility consolidation period, ideal for range-bound strategies or waiting for a breakout.
• Bullish (Green): Confirmed uptrend, potentially suitable for buying or long entries.
• Bearish (Red): Confirmed downtrend, ideal for short selling or exiting long positions.
The “Trend Identifier” is a powerful tool for traders who seek a clear view of the market structure, using a balanced approach of volatility, trend strength, and momentum. By combining the power of ATR, ADX, EMA, and RSI, this indicator provides a nuanced picture of the market’s behavior, assisting traders in making more informed decisions.
