Recency-Weighted Market Memory w/ Quantile-Based DriftRecency-Weighted Market Memory w/ Quantile-Based Drift
This indicator combines market memory, recency-weighted drift, quantile-based volatility analysis, momentum (RoC) filtering, and historical correlation checks to generate dynamic forecasts of possible future price levels. It calculates bullish and bearish forecast lines at each horizon, reflecting how the price might behave based on historical similarities.
Trading Concepts & Mathematical Foundations Explained
1) Market Memory
Concept:
Markets tend to repeat past behaviors under similar conditions. By identifying historical market states that closely match current conditions, we predict future price movements based on what happened historically.
Calculation Steps:
We select a historical lookback window (for example, 210 bars).
Each historical bar within this window is evaluated to see if its conditions match the current market. Conditions include:
Correlation between price change and bullish/bearish volume changes (over a user-defined correlation lookback period).
Momentum (Rate of Change, RoC) measured over a separate lookback period.
Only bars closely matching current conditions (within user-defined tolerance percentages) are included.
2) Recency-Weighted Drift
Concept:
Recent market movements often influence future direction. We assign more importance to recent bars to capture the current market bias effectively.
Calculation Steps:
Consider recent price changes between opens and closes for a user-defined drift lookback (for example, last 20 bars).
Give higher weight to recent bars (the most recent bar gets the highest weight, and weights decrease progressively for older bars).
Average these weighted changes separately for upward and downward movements, then combine these averages to calculate a final drift percentage relative to the current price.
3) Correlation Filtering
Concept:
Price changes often correlate strongly with bullish or bearish volume activity. By using historical correlation comparisons, we focus only on past market states with similar volume-price dynamics.
Calculation Steps:
Compute current correlations between price changes and bullish/bearish volume over the user-defined correlation lookback.
Evaluate each historical bar to see if its correlation closely matches the current correlation (within a user-specified percentage tolerance).
Only historical bars meeting this correlation criterion are selected.
4) Momentum (RoC) Filtering
Concept:
Two market periods may exhibit similar correlation structures but differ in how fast prices move (momentum). To ensure true similarity, momentum is checked as an additional filter.
Calculation Steps:
Compute the current Rate of Change (RoC) over the specified RoC lookback.
For each candidate historical bar, calculate its historical RoC.
Only include historical bars whose RoC closely matches the current RoC (within the RoC percentage tolerance).
5) Quantile-Based Volatility and Drift Amplification
Concept:
Quantiles (such as the 95th, 50th, and 5th percentiles) help gauge if current prices are near historical extremes or the median. Quantile bands measure volatility expansions and contractions.
Calculation Steps:
Calculate the 95%, 50%, and 5% quantiles of price over the quantile lookback period.
Add and subtract multiples of the standard deviation to these quantiles, creating upper and lower bands.
Measure the bands' widths relative to the current price as volatility indicators.
Determine the active quantile (95%, 50%, or 5%) based on proximity to the current price (within a percentage tolerance).
Compute the rate of change (RoC) of the active quantile to detect directional bias.
Combine volatility and quantile RoC into a scaling factor that amplifies or dampens expected price moves.
6) Expected Value (EV) Computation & Forecast Lines
Concept:
We forecast future prices based on how similarly-conditioned historical periods performed. We average historical moves to estimate the expected future price.
Calculation Steps:
For each forecast horizon (e.g., 1 to 27 bars ahead), collect all historical price moves that passed correlation and RoC filters.
Calculate average historical moves for bullish and bearish cases separately.
Adjust these averages by applying recency-weighted drift and quantile-based scaling.
Translate adjusted percentages into absolute future price forecasts.
Draw bullish and bearish forecast lines accordingly.
Indicator Inputs & Their Roles
Correlation Tolerance (%)
Adjusts how strictly the indicator matches historical correlation. Higher tolerance includes more matches, lower tolerance selects fewer but closer matches.
Price RoC Lookback and Price RoC Tolerance (%)
Controls how momentum (speed of price moves) is matched historically. Increasing tolerance broadens historical matches.
Drift Lookback (bars)
Determines the number of recent bars influencing current drift estimation.
Quantile Lookback Period and Std Dev Multipliers
Defines quantile calculation and the size of the volatility bands.
Quantile Contact Tolerance (%)
Sets how close the current price must be to a quantile for it to be considered "active."
Forecast Horizons
Specifies how many future bars to forecast.
Continuous Forecast Lines
Toggles between drawing continuous lines or separate horizontal segments for each forecast horizon.
Practical Trading Applications
Bullish & Bearish EV Lines
These forecast lines indicate expected price levels based on historical similarity. Green indicates positive expectations; red indicates negative.
Momentum vs. Mean Reversion
Wide quantile bands and high drift suggest momentum, while extremes may signal possible reversals.
Volatility Sensitivity
Forecasts adapt dynamically to market volatility. Broader bands increase forecasted price movements.
Filtering Non-Relevant Historical Data
By using both correlation and RoC filtering, irrelevant past periods are excluded, enhancing forecast reliability.
Multi-Timeframe Suitability
Adaptable parameters make this indicator suitable for different trading styles and timeframes.
Complementary Tool
This indicator provides probabilistic projections rather than direct buy or sell signals. Combine it with other trading signals and analyses for optimal results.
Important Considerations
While historically-informed forecasts are valuable, market behavior can evolve unpredictably. Always manage risks and use supplementary analysis.
Experiment extensively with input settings for your specific market and timeframe to optimize forecasting performance.
Summary
The Recency-Weighted Market Memory w/ Quantile-Based Drift indicator uniquely merges multiple sophisticated concepts, delivering dynamic, historically-informed price forecasts. By combining historical similarity, adaptive drift, momentum filtering, and quantile-driven volatility scaling, traders gain an insightful perspective on future price possibilities.
Feel free to experiment, explore, and enjoy this powerful addition to your trading toolkit!
Forecasting
V Pattern TrendDESCRIPTION:
The V Pattern Trend Indicator is designed to identify and highlight V-shaped reversal patterns in price action. It detects both bullish and bearish V formations using a five-candle structure, helping traders recognize potential trend reversal points. The indicator filters out insignificant patterns by using customizable settings based on ATR, percentage, or points, ensuring that only meaningful V patterns are displayed.
CALCULATION METHOD
The user can choose how the minimum length of a V pattern is determined. The available options are:
- ATR (Average True Range) – Filters V patterns based on ATR, making the detection adaptive to market volatility.
- Percentage (%) – Considers V patterns where the absolute price difference between the V low and V high is greater than a user-defined percentage of the V high.
- Points – Uses a fixed number of points to filter valid V patterns, making it useful for assets with consistent price ranges.
ATR SETTINGS
- ATR Length – Defines the number of periods for ATR calculation.
- ATR Multiplier – Determines the minimum V length as a multiple of ATR.
PERCENTAGE THRESHOLD
- Sets a minimum percentage difference between the V high and V low for a pattern to be considered valid.
POINTS THRESHOLD
- Defines the minimum price movement (in points) required for a V pattern to be considered significant.
PATTERN VISUALIZATION
- A bullish V pattern is plotted using two upward-sloping lines, with a filled green region to highlight the formation.
- A bearish V pattern is plotted using two downward-sloping lines, with a filled red region to indicate the reversal.
- The indicator dynamically updates and marks only the most recent valid patterns.
UNDERSTANDING V PATTERNS
A V pattern is a sharp reversal formation where price moves strongly in one direction and then rapidly reverses in the opposite direction, forming a "V" shape on the chart.
BULLISH V PATTERN
- A bullish V pattern is formed when the price makes three consecutive lower lows, followed by two consecutive higher lows.
- The pattern is confirmed when the highest high of the formation is greater than the previous highs within the structure.
- This pattern suggests a potential trend reversal from bearish to bullish.
- The lowest point of the pattern represents the V low, which acts as a support level.
bull_five_candle_v = low > low and low > low and low > low and low > low
and high > math.max(high , high , high ) and high > math.max(high , high , high )
BEARISH V PATTERN
- A bearish V pattern is detected when the price makes three consecutive higher highs, followed by two consecutive lower highs.
- The pattern is confirmed when the lowest low of the formation is lower than the previous lows within the structure.
- This pattern signals a possible trend reversal from bullish to bearish.
- The highest point of the pattern represents the V high, which acts as a resistance level.
bear_five_candle_v = high < high and high < high and high < high and high < high
and low < math.min(low , low , low ) and low < math.min(low , low , low )
HOW THIS IS UNIQUE
- Advanced Filtering Mechanism – Unlike basic reversal indicators, this tool provides customizable filtering based on ATR, percentage, or points, ensuring that only significant V patterns are displayed.
- Enhanced Visual Clarity – The indicator uses color-coded fills and structured plotting to make reversal patterns easy to recognize.
- Works Across Market Conditions – Adaptable to different market environments, filtering out weak or insignificant price fluctuations.
- Multi-Timeframe Usability – Can be applied across different timeframes and asset classes, making it useful for both intraday and swing trading.
HOW TRADERS CAN USE THIS INDICATOR
- Identify potential trend reversals early based on structured price action.
- Filter out weak or insignificant reversals to focus only on strong V formations.
- Use the V pattern’s highs and lows as key support and resistance zones for trade entries and exits.
- Combine with other indicators like moving averages, trendlines, or momentum oscillators for confirmation.
DenP Ichimoku Interpreter (DII)A simple indicator using Ishimoku as a basis, giving entry and exit signals.
Components of the Ichimoku Cloud
The Ichimoku system consists of multiple lines that help traders understand market trends, momentum, and potential reversals.
1. Tenkan-Sen (Conversion Line) - Blue
Formula: (Highest High + Lowest Low) / 2 over the last 9 periods (default).
Purpose: Measures short-term trend direction.
Interpretation:
Upward movement: Indicates bullish momentum.
Downward movement: Indicates bearish momentum.
Flat line: Indicates consolidation.
2. Kijun-Sen (Base Line) - Red
Formula: (Highest High + Lowest Low) / 2 over the last 26 periods (default).
Purpose: Represents medium-term trend.
Interpretation:
Price above Kijun-Sen: Bullish signal.
Price below Kijun-Sen: Bearish signal.
Flat Kijun-Sen: Market in consolidation.
3. Senkou Span A (Leading Span A) - Light Green
Formula: (Tenkan-Sen + Kijun-Sen) / 2, plotted 26 periods ahead.
Purpose: Forms one of the Ichimoku Cloud boundaries.
Interpretation:
If Senkou Span A is rising, the market is bullish.
If Senkou Span A is falling, the market is bearish.
4. Senkou Span B (Leading Span B) - Light Red
Formula: (Highest High + Lowest Low) / 2 over the last 52 periods, plotted 26 periods ahead.
Purpose: Forms the second boundary of the Ichimoku Cloud.
Interpretation:
If price is above the cloud, the market is in a strong uptrend.
If price is below the cloud, the market is in a strong downtrend.
If price is inside the cloud, the market is consolidating.
5. Kumo (Cloud)
The area between Senkou Span A and Senkou Span B is shaded.
Green Cloud (Span A above Span B): Bullish trend.
Red Cloud (Span B above Span A): Bearish trend.
The thickness of the cloud represents market volatility.
6. Chikou Span (Lagging Line) - Green
Formula: Current closing price plotted 26 periods back.
Purpose: Confirms trend direction.
Interpretation:
Chikou Span above price 26 periods ago: Bullish.
Chikou Span below price 26 periods ago: Bearish.
Buy and Sell Conditions
The indicator generates buy and sell signals based on Ichimoku components.
1. Kijun Cross (Medium-Term Trend)
Buy Signal: When the closing price crosses above the Kijun-Sen (red line).
Sell Signal: When the closing price crosses below the Kijun-Sen.
2. Cloud Breakout (Senkou Span Cross)
Buy Signal:
When Senkou Span A is above Senkou Span B, and the price crosses above the cloud.
Indicates a strong uptrend.
Sell Signal:
When Senkou Span B is above Senkou Span A, and the price crosses below the cloud.
Indicates a strong downtrend.
3. Chikou Span Confirmation (Momentum Confirmation)
Buy Signal:
If Chikou Span (green) crosses above past price action, it confirms a bullish trend.
Used to validate Kijun and Cloud Buy signals.
Sell Signal:
If Chikou Span crosses below past price action, it confirms a bearish trend.
Visual Signals
The indicator plots triangles on the chart to indicate buy and sell signals:
Kijun Buy Signal: Upward triangle (green).
Kijun Sell Signal: Downward triangle (red).
Cloud Buy Signal: Upward triangle (green) near the cloud.
Cloud Sell Signal: Downward triangle (red) near the cloud.
Chikou Confirmation Buy: Upward triangle (green, confirming previous signals).
Chikou Confirmation Sell: Downward triangle (red, confirming previous signals).
Additional Features
Customizable Colors & Settings: Users can adjust colors, time periods, and display settings.
On-Chart Table: Displays current trend interpretations for easy reference.
How to Use the Indicator?
Check the Cloud Position:
Price above the cloud = bullish.
Price below the cloud = bearish.
Price inside the cloud = consolidation.
Look for Kijun Crosses:
Buy when price crosses above Kijun-Sen.
Sell when price crosses below Kijun-Sen.
Confirm with Chikou Span:
If Chikou Span supports the buy/sell signal, it's more reliable.
Use Cloud Breakouts for Trend Reversals:
If price moves from below to above the cloud = strong buy.
If price moves from above to below the cloud = strong sell.
Jinx CovarianceThis script calculates and plots the covariance between the closing price of the current trading symbol and the closing prices of several major US stock market components over a user-defined lookback period.
Here's a breakdown:
* Indicator Initialization: The script starts by defining an indicator named "My script".
* Array Declaration: Nine empty arrays (a1 to a9) are created to store historical closing prices.
* Security Data Request: The script then requests historical closing price data for the following symbols using the same timeframe as the current chart: DJI (Dow Jones Industrial Average), SPX (S&P 500), AAPL (Apple), GOOG (Alphabet Inc. Class C), GOOGL (Alphabet Inc. Class A), AMZN (Amazon), META (Meta Platforms), and MSFT (Microsoft). These are stored in variables as2 through as9.
* Data Population Loop: A for loop runs for a number of bars specified by the "Lookback" input (defaulting to the last 100 bars). In each iteration:
* The closing price of the current symbol (close ) is added to the array a1.
* The closing prices of the requested securities (as2 to as9 ) are added to their respective arrays (a2 to a9).
* Covariance Calculation: After the loop, the script calculates the covariance between the array of the current symbol's closing prices (a1) and the array of closing prices for each of the other securities (a2 to a9). The results are stored in variables a1a2 to a1a9.
* Plotting Covariance: Finally, the script plots each of the calculated covariance values on the chart:
* For DJI, the covariance is plotted with the title "DJI". The color of the plot is aqua if the current covariance is greater than the covariance 10 bars ago, and red otherwise. This plot is displayed only in the data window.
* For SPX, the covariance is plotted with the title "SPX". The color is black if the current covariance is greater than the covariance 10 bars ago, and red otherwise. This plot is also displayed only in the data window.
* For AAPL, GOOG, GOOGL, AMZN, META, and MSFT, the covariance is plotted with their respective ticker symbols as titles. The color of each plot changes between a specific color (blue, fuchsia, lime, gray, maroon, navy respectively) and red, depending on whether the current covariance is higher than it was 10 bars prior.
In essence, this script visualizes how the current symbol's price movement correlates with the price movements of these major indices and stocks over the defined historical period. The color change on the plots indicates whether the covariance has increased compared to 10 bars ago, potentially suggesting a strengthening or weakening of the correlation. The display setting for DJI and SPX means their covariance values will only be visible in the data window panel at the bottom of the TradingView chart, not as lines directly overlaid on the price action.
© jeremyandnancy8
Pipsttocra Technical Patterns: EV HV FVG & OBPipstocrat Technical Patterns , identifies and visualizes key technical analysis patterns and structures on a TradingView chart. Here's a simple breakdown of what it does:
Fair Value Gaps (FVG):
Detects and highlights bullish and bearish Fair Value Gaps as colored boxes.
Adds centerline markers to indicate potential price levels.
Order Blocks (OB):
Identifies bullish and bearish order blocks (areas of significant buying or selling).
Displays them as colored rectangles extending to the right of the chart.
Candlestick Patterns:
Detects Engulfing Patterns (bullish and bearish) with volume confirmation.
Highlights Hammer and Inverted Hammer patterns with customizable shapes and colors.
Customization Options:
Allows users to adjust colors, sizes, and styles for all patterns and structures.
Provides options to show/hide specific patterns like FVGs, engulfing candles, hammers, etc.
Alerts:
Generates alerts for detected patterns, such as FVGs, order blocks, engulfing candles, and confluence zones (combination of FVGs and order blocks).
Management Features:
Automatically removes older or "filled" patterns (optional).
Tracks and updates patterns dynamically as new bars form.
Purpose:
This tool helps traders spot high-probability trading opportunities by identifying key market structures (like FVGs and order blocks) and candlestick patterns. It combines multiple technical analysis concepts into one comprehensive indicator for better decision-making.
Pipstocrat Market Participant AnalysisPipstocrat Market Participant Analysis (PMPA) , analyzes the behavior of different types of traders in the market: Hot Money (short-term traders), Smart Money (institutional or professional traders), and Retail Traders . It uses RSI-based calculations to measure their activity and displays the results as colored bars on a chart.
Customizable Colors: Users can change the colors for each type of trader and other visual elements like reference lines.
Reference Lines: Horizontal lines at levels 5 (Support), 10 (Neutral), and 15 (Resistance) help interpret the data.
Focus on RSI: The script simplifies analysis by focusing solely on RSI-based signals.
This tool helps traders quickly identify trends and sentiment in the market, making it easier to spot potential opportunities.
Bayesian AverageThis indicator calculates a statistically informed average of the price data using the Bayesian update rule. It overlays directly on the price chart of the trading instrument.
Inputs:
* Length: An integer input (default is 20) that determines the period over which the rolling mean and variance of the closing prices are calculated. This essentially sets the lookback window for recent price action.
* Prior Mean: A floating-point number input (default is 0.0) representing the initial guess or prior belief about the average price of the asset before observing any price data within the specified Length.
* Prior Variance: A floating-point number input (default is 1.0) that quantifies the uncertainty associated with the Prior Mean. A higher value indicates less confidence in the initial guess.
Calculations:
* Rolling Mean and Variance: The script first computes the simple moving average (rollingMean) and the sample variance (rollingVariance) of the closing price using the ta.sma and ta.variance functions over the length period.
* Bayesian Update: The indicator then applies the Bayesian update formulas to combine the prior beliefs with the information extracted from the recent price data:
* Posterior Variance: This value represents the updated uncertainty about the average price after considering the recent price fluctuations. It is calculated by combining the inverse of the Prior Variance with the precision of the data (number of observations divided by the Rolling Variance).
* Posterior Mean (Bayesian Average): This is the main output of the indicator. It represents the refined estimate of the average price, taking into account both the initial Prior Mean and the information from the Rolling Mean and Rolling Variance. The formula weights the Prior Mean and the Rolling Mean based on their respective precisions (inverse of their variances).
Plotting:
* Bayesian Average (Blue Line): The indicator plots the calculated posteriorMean, which is the Bayesian average of the price, as a blue line on the chart.
* Rolling Mean (Gray Line - Optional): For comparison, the script optionally plots the traditional simple moving average (rollingMean) as a gray line.
* Prior Mean (Dotted Red Line - Optional): A horizontal line representing the initial priorMean is optionally drawn on the chart as a red dotted line, serving as a reference.
* Posterior Variance (Orange Line - Optional): The posteriorVariance, representing the uncertainty, is also optionally plotted as an orange line.
In essence, this indicator attempts to provide a more statistically sound and potentially smoother representation of the average price by blending an initial belief with observed market data. The Prior Mean and Prior Variance allow users to incorporate their existing knowledge or assumptions into the calculation, while the Bayesian update mechanism adjusts these beliefs based on the recent price action.
Bias TableOverview
The Bias Table Indicator is a multi-timeframe analysis tool designed to provide a quick sentiment overview across multiple timeframes. It combines signals from Moving Averages (MAs) and Oscillators to determine market bias, helping traders make more informed decisions.
Key Features
✔ Multi-Timeframe Analysis (MTF) – Displays market bias across up to five timeframes.
✔ Customizable Signals – Choose whether bias is based on Moving Averages (MAs), Oscillators, or a combination of both.
✔ Visual Table Format – The indicator presents the bias as a color-coded table in the bottom-right corner of the chart for quick reference.
✔ Adjustable Colors & Display Settings – Users can customize colors for different sentiment states (Strong Buy, Buy, Neutral, Sell, Strong Sell).
How It Works
Bias Calculation: The indicator evaluates market conditions using preset values (which can be replaced with actual logic) to determine sentiment for each timeframe.
Multi-Timeframe Support: The table can display bias from hourly to monthly timeframes, giving traders a broader view of market conditions.
Customizable Signals: Users can filter the table to show bias based only on MAs, Oscillators, or a combination of both.
Interpreting the Table
📊 Timeframes: The leftmost column shows selected timeframes (e.g., 1H, 4H, 1D, 1W, 1M).
📈 Signal Columns:
MAs – Bias based on Moving Averages.
Oscillators – Bias based on momentum indicators like RSI, Stochastics, etc.
All – A combined bias based on both MAs & Oscillators.
🚦 Color-Coded Ratings:
🔵 Strong Buy – High bullish strength.
🔹 Buy – Moderate bullish sentiment.
⚪ Neutral – No clear trend.
🔸 Sell – Moderate bearish sentiment.
🔴 Strong Sell – High bearish strength.
Best Used For:
📈 Trend Confirmation: Validate signals from your primary strategy.
⏳ Multi-Timeframe Analysis: See whether short-term and long-term trends align.
⚡ Quick Sentiment Check: Get a high-level view of market conditions without analyzing multiple indicators separately.
Customization Options:
Select which timeframes to include in the table.
Choose whether to base bias on MAs, Oscillators, or both.
Adjust colors for each signal type.
Geometric Momentum Breakout with Monte CarloOverview
This experimental indicator uses geometric trendline analysis combined with momentum and Monte Carlo simulation techniques to help visualize potential breakout areas. It calculates support, resistance, and an aggregated trendline using a custom Geo library (by kaigouthro). The indicator also tracks breakout signals in a way that a new buy signal is triggered only after a sell signal (and vice versa), ensuring no repeated signals in the same direction.
Important:
This script is provided for educational purposes only. It is experimental and should not be used for live trading without proper testing and validation.
Key Features
Trendline Calculation:
Uses the Geo library to compute support and resistance trendlines based on historical high and low prices. The midpoint of these trendlines forms an aggregated trendline.
Momentum Analysis:
Computes the Rate of Change (ROC) to determine momentum. Breakout conditions are met only if the price and momentum exceed a user-defined threshold.
Monte Carlo Simulation:
Simulates future price movements to estimate the probability of bullish or bearish breakouts over a specified horizon.
Signal Tracking:
A persistent variable ensures that once a buy (or sell) signal is triggered, it won’t repeat until the opposite signal occurs.
Geometric Enhancements:
Calculates an aggregated trend angle and channel width (distance between support and resistance), and draws a perpendicular “breakout zone” line.
Table Display:
A built-in table displays key metrics including:
Bullish probability
Bearish probability
Aggregated trend angle (in degrees)
Channel width
Alerts:
Configurable alerts notify when a new buy or sell breakout signal occurs.
Inputs
Resistance Lookback & Support Lookback:
Number of bars to look back for determining resistance and support points.
Momentum Length & Threshold:
Period for ROC calculation and the minimum percentage change required for a breakout confirmation.
Monte Carlo Simulation Parameters:
Simulation Horizon: Number of future bars to simulate.
Simulation Iterations: Number of simulation runs.
Table Position & Text Size:
Customize where the table is displayed on the chart and the size of the text.
How to Use
Add the Script to Your Chart:
Copy the code into the Pine Script editor on TradingView and add it to your chart.
Adjust Settings:
Customize the inputs (e.g., lookback periods, momentum threshold, simulation parameters) to fit your analysis or educational requirements.
Interpret Signals:
A buy signal is plotted as a green triangle below the bar when conditions are met and the state transitions from neutral or sell.
A sell signal is plotted as a red triangle above the bar when conditions are met and the state transitions from neutral or buy.
Alerts are triggered only on the bar where a new signal is generated.
Examine the Table:
The table displays key metrics (breakout probabilities, aggregated trend angle, and channel width) to help evaluate current market conditions.
Disclaimer
This indicator is experimental and provided for educational purposes only. It is not intended as a trading signal or financial advice. Use this script at your own risk, and always perform your own research and testing before using any experimental tools in live trading.
Credit
This indicator uses the Geo library by kaigouthro. Special thanks to Cryptonerds and @Hazzantazzan for their contributions and insights.
ATR Price FrameATR Price Frame
ATR Price Frame is a versatile and customizable TradingView indicator that uses the Average True Range (ATR) to define a dynamic price frame for effective risk management and position sizing.
Risk Management:
This indicator automatically calculates the number of units (shares or contracts) you can trade based on a user-defined maximum risk. By comparing the current price to ATR-based levels, it determines the risk per unit—applying a tailored formula for stocks and futures—so you can maintain proper risk control on every trade.
Informative Labeling:
An optional label is displayed at the far right of your chart, providing clear, concise information about your calculated unit count and, if enabled, the total risk in dollars (formatted like “3 : $45.00”). With configurable text size and horizontal offset, the label is designed to integrate seamlessly into your chart setup.
Unified Line Appearance:
The indicator draws two horizontal lines—one above and one below the current price—to create the price frame. These lines use a unified appearance with settings for length, width, style, and an optional horizontal offset, ensuring a clean and consistent visual representation of market volatility.
ATR Price Frame automatically determines whether the instrument is a stock or a futures contract, applying the appropriate risk calculations. This makes it an essential tool for traders looking to integrate volatility-based risk management into their strategies.
Market Sentiment Indicator with Adjustable Metric Smoothing
Market Sentiment Indicator for BTCUSDT: How It Works
This indicator analyzes market sentiment for BTCUSDT by combining data from various financial metrics like the VIX, DXY, SPX, GOLD, USOIL, US10Y, and BTC itself. It processes this data to assign scores that reflect bearish, bullish, or neutral conditions, ultimately providing a sentiment value. Here’s the step-by-step process:
1. Input Parameters
VIX Thresholds: Define levels (e.g., high, moderate, low) to identify risk-off (bearish) or risk-on (bullish) market conditions.
Change Thresholds: Set limits for "large" and "small" percentage changes in metrics like DXY (Dollar Index), SPX (S&P 500), and BTC, as well as other assets.
2. Data Fetching
Collect closing prices for:
VIX (volatility index)
DXY (U.S. Dollar Index)
SPX (S&P 500)
GOLD (gold price)
USOIL (crude oil price)
US10Y (10-year Treasury yield)
BTC (from the BTCUSDT chart)
These are typically retrieved using a function like request.security in a trading platform.
3. Smoothed Data
Apply Exponential Moving Averages (EMAs) to the closing prices of each metric to smooth out noise. The smoothing length (e.g., 10-day, 20-day) is customizable.
Calculate:
Smoothed percentage changes for DXY, SPX, BTC, GOLD, and USOIL.
Absolute change for US10Y (since it’s a yield, not a price).
4. Step Scores Calculation
The indicator assigns scores based on specific market conditions:
Step 1: Strong Risk-Off (Bearish)
High VIX, strongly rising DXY, strongly falling SPX and BTC.
Step 2: Moderate Risk-Off (Bearish)
Moderately high VIX, moderately rising DXY, moderately falling SPX and BTC.
Step 3: Neutral
VIX near neutral, small changes in DXY, SPX, and BTC.
Step 4: Moderate Risk-On (Bullish)
Moderately low VIX, moderately falling DXY, moderately rising SPX and BTC.
Step 5: Strong Risk-On (Bullish)
Low VIX, strongly falling DXY, strongly rising SPX and BTC.
Step 6: Inflation Concern
Rising GOLD, USOIL, US10Y, and falling DXY.
Step 7: Deflation Concern
Falling GOLD, USOIL, US10Y, and rising DXY.
5. Composite Scores
Bearish Composite: Sum of Step 1 (strong risk-off) and Step 2 (moderate risk-off) scores.
Bullish Composite: Sum of Step 4 (moderate risk-on) and Step 5 (strong risk-on) scores.
6. Sentiment Calculation
Compute a weighted average of all step scores:
Weights: -3 (Step 1), -2 (Step 2), 0 (Step 3), 2 (Step 4), 3 (Step 5), 1 (Step 6), -1 (Step 7).
This produces a sentiment score ranging from negative (bearish) to positive (bullish).
If the total score is zero, sentiment is set to zero to avoid issues.
7. Visualization
Bearish Composite: Plotted in red.
Bullish Composite: Plotted in green.
Sentiment: Plotted in blue.
Why It’s Useful
This indicator gives you a comprehensive view of market sentiment by blending traditional financial metrics (like VIX and SPX) with BTC-specific data. The use of EMAs and customizable thresholds makes it adaptable to different timeframes and market conditions, helping you gauge whether the market is leaning bearish, bullish, or neutral.
The Investment Clock Orbital GraphThe Investment Clock Orbital Graph is an advanced visualization tool designed to help traders and investors track economic cycles using a dynamic scatter plot of GDP growth vs. CPI inflation rates.
This indicator is a fusion of two powerful TradingView indicators:
LuxAlgo ’s Relative Strength Scatter Plot – A robust scatter plot for tracking relative strength.
The Investment Clock Indicator – A cycle-based approach to market rotation. This indicator contains more information regarding The Investment Clock.
By combining these approaches, the Investment Clock Orbital Graph enables traders to visualize economic momentum and inflationary trends in a unique, orbital-style scatter plot.
Key Features & Improvements
Orbital Graph Representation – Displays GDP growth and CPI inflation as a dynamic, evolving scatter plot, showing how the economy moves through different phases.
Quadrant-Based Market Regimes – Identifies four key economic phases:
1)🔥 Overheating (High Growth, High Inflation)
2)📉 Stagflation (Low Growth, High Inflation)
3)🤒 Recovery (High Growth, Low Inflation)
4)🎈 Reflation (Low Growth, Low Inflation)
Data-Driven Analysis – Utilizes FRED (Federal Reserve Economic Data) for accurate real-world GDP & CPI data.
Trailing Path of Economic Evolution – Tracks historical economic cycles over time to show momentum and cyclical movements.
Customizable Parameters – Set sustainable GDP growth and inflation thresholds, adjust trail length, and fine-tune scatter plot resolution.
Auto-Labeled Quadrants & Revised Accurate Market Guidance – Each quadrant includes newly updated tooltips and annotations (like ETF suggestions) to help traders make informed decisions.
Live Macro Forecasting Tool – Helps traders anticipate future market conditions, rate hikes/cuts, and sector rotations.
How to Use for Trading Decisions
The Investment Clock Orbital Graph helps traders and macro investors by identifying market phases and providing insights into asset class performance during different economic conditions.
📌 Step 1: Identify the Current Quadrant
Locate the most recent point on the orbital graph to see if the economy is in Overheating, Stagflation, Recovery, or Reflation.
📌 Step 2: Forecast Market Trends
The trajectory of the points can predict upcoming economic shifts:
Overheating → Stagflation ➡️ Expect economic slowdowns, bearish stock markets.
Stagflation → Reflation ➡️ Interest rate cuts likely, bonds and defensive stocks perform well.
Reflation → Recovery ➡️ Risk-on rally, technology and cyclicals perform best.
Recovery → Overheating ➡️ Commodities surge, inflation rises, and central banks intervene.
📌 Step 3: Align Trading & Investing Strategies
🔥 Overheating – Favor commodities & energy (Oil, Industrial Stocks, Materials).
📉 Stagflation – Favor defensive assets (Cash, Utilities, Healthcare).
🤒 Recovery – Favor growth stocks (Technology, Consumer Discretionary).
🎈 Reflation – Favor bonds, value stocks, and financials.
📌 Step 4: Monitor Trends Over Time
The indicator visualizes economic movement over multiple months, allowing traders to confirm long-term trends vs. short-term noise.
The Investment Clock Orbital Graph is an essential macro trading tool, providing a real-time visualization of economic conditions. By tracking GDP growth vs. CPI inflation, traders and investors can align their portfolios with major macroeconomic shifts, predict sector rotations, and anticipate central bank policy changes.
Orion Daily Bias v1What It Does
The Daily Bias Indicator identifies the daily market bias (bullish or bearish) using principles inspired by institutional trading activity. It analyses daily price action to detect imbalances caused by large market participants, providing a clear directional bias for the upcoming trading day.
Key Features
Daily Bias Signals:
Displays "Daily Bias: Bullish" (green) or "Daily Bias: Bearish" (red) in the top-right corner of your chart.
Colors daily candles to reflect the current bias (toggle on/off).
Non-Repainting:
Signals finalize only at market close and never change retroactively.
Intraday Flexibility:
Use the daily bias to align intraday strategies (e.g., 15-minute entries) with the broader trend.
Custom Alerts:
Receive alerts only when the bias changes (e.g., bullish to bearish). Alerts trigger at market close, preparing you for the next trading day.
How It Works
Market Close Analysis:
At the end of each trading day, the indicator evaluates price action and institutional-level inefficiencies to determine the next day’s bias.
Visual Guidance:
Daily candles are coloured green (bullish) or red (bearish) to reflect the confirmed bias.
A label in the top-right corner updates automatically across all timeframes.
Actionable Alerts:
Set alerts to notify you only when the bias shifts, helping you stay focused on high-probability setups.
Why Traders Use It
Simplify Decision-Making: Start each day with a clear bias, avoiding trades against institutional momentum.
Adaptable to Strategies: Works with scalping, swing trading, or position building.
Rule-Based Signals: Objective criteria finalize at market close.
Settings & Parameters
Candle Colouring: Enable/disable daily candle highlights.
Daily bias label: Turn the daily bias label on and off
Alerts: Setting an alert with this indicator will only alert you if a bias changes from bullish to bearish or vice versa.
How to Use It
Add the indicator to your chart (works on any timeframe).
Check the top-right label for the daily bias.
Set alerts to track bias changes effortlessly.
Combine with your preferred intraday strategy for entries/exits.
Important Notes
No Repainting: Signals lock in at daily close and never change.
Confirmation Tool: Pair with additional analysis (e.g., support/resistance, volume).
Time Agnostic: The daily bias applies to all intraday timeframes (1H, 15M, etc.).
Disclaimer
This tool is for educational purposes only. It is not financial advice, and past performance does not guarantee future results. Always test strategies in a risk-controlled environment.
SemiCircle Cycle Notation PivotsFor decades, traders have sought to decode the rhythm of the markets through cycle theory. From the groundbreaking work of HM Gartley in the 1930s to modern-day cycle trading tools on TradingView, the concept remains the same: markets move in repeating waves with larger cycles influencing smaller ones in a fractal-like structure, and understanding their timing gives traders an edge to better anticipate future price movements🔮.
Traditional cycle analysis has always been manual, requiring traders to painstakingly plot semicircles, diamonds, or sine waves to estimate pivot points and time reversals. Drawing tools like semicircle & sine wave projections exist on TradingView, but they lack automation—forcing traders to adjust cycle lengths by eye, often leading to inconsistencies.
This is where SemiCircle Cycle Notation Pivots indicator comes in. Semicircle cycle chart notation appears to have evolved as a practical visualization tool among cycle theorists rather than being pioneered by a single individual; some key influences include HM Gartley, WD Gann, JM Hurst, Walter Bressert, and RayTomes. Built upon LonesomeTheBlue's foundational ZigZag Waves indicator , this indicator takes cycle visualization to the next level by dynamically detecting price pivots and then automatically plotting semicircles based on real-time cycle length calculations & expected rhythm of price action over time.
Key Features:
Automated Cycle Detection: The indicator identifies pivot points based on your preference—highs, lows, or both—and plots semicircle waves that correspond to Hurst's cycle notation.
Customizable Cycle Lengths: Tailor the analysis to your trading strategy with adjustable cycle lengths, defaulting to 10, 20, and 40 bars, allowing for flexibility across various timeframes and assets.
Dynamic Wave Scaling: The semicircle waves adapt to different price structures, ensuring that the visualization remains proportional to the detected cycle lengths and aiding in the identification of potential reversal points.
Automated Cycle Detection: Dynamically identifies price pivot points and automatically adjusts offsets based on real-time cycle length calculations, ensuring precise semicircle wave alignment with market structure.
Color-Coded Cycle Tiers: Each cycle tier is distinctly color-coded, enabling quick differentiation and a clearer understanding of nested market cycles.
Reversals & PullbacksReversals & Pullbacks:
This indicator tries to predict Price reversals and pullbacks.
It works best on the higher timeframes (H4 and D) and was written for currencies but also shows some decent results on Crypto.
Inputs:
- Confirmation: When activated, the indicator waits to print the bullish/bearish signal untill price shows a clear sign of reversal. When not activated, it only looks if it thinks a pullback or reversal is likely to happen without waiting for confirmation. There will be more (false) signals when disabled
- Sensitivity: When set to 0, there will be more (false) signals printed, and when highering this value there will be less signals. The default value is 5 but you can experiment which value works best on what instrument.
- Arrow Distance: can be used to place the arrows further away from price if needed.
Ethereum Logarithmic Regression Bands (Fine-Tuned)This indicator, "Ethereum Logarithmic Regression Bands (Fine-Tuned)," is my attempt to create a tool for estimating long-term trends in Ethereum (ETH/USD) price action using logarithmic regression bands. Please note that I am not an expert in financial modeling or coding—I developed this as a personal project to serve as a rough estimation rather than a precise or professional trading tool. The data was fitted to non-bubble periods of Ethereum's history to provide a general trendline, but it’s far from perfect.
I’m sharing this because I couldn’t find a similar indicator available, and I thought it might be useful for others who are also exploring ETH’s long-term behavior. The bands start from Ethereum’s launch price and are adjustable via input parameters, but they are based on my best effort to align with historical data. With some decent coding experience, I’m sure someone could refine this further—perhaps by optimizing the coefficients or incorporating more advanced fitting techniques. Feel free to tweak the code, suggest improvements, or use it as a starting point for your own projects!
How to Use:
** THIS CHART IS SPECIFICALLY CODED FOR ETH/USD (KRAKEN) ON THE WEEKLY TIMEFRAME IN LOG VIEW**
The main band (blue) represents the logarithmic regression line.
The upper (red) and lower (green) bands provide a range around the main trend, adjustable with multipliers.
Adjust the "Launch Price," "Base Coefficient," "Growth Coefficient," and other inputs to experiment with different fits.
Disclaimer:
This is not financial advice. Use at your own risk, and always conduct your own research before making trading decisions.
M2 Global Liquidity Index - 10 Week Lead
M2 Global Liquidity Index - Forward Projection (10 Weeks)
This indicator provides a 10-week forward projection of the M2 Global Liquidity Index, offering traders insight into potential future market conditions based on global money supply trends.
What This Indicator Shows
The M2 Global Liquidity Index aggregates M2 money stock data from five major economies:
- China (CNY)
- United States (USD)
- European Union (EUR)
- Japan (JPY)
- Great Britain (GBP)
All values are converted to USD and presented as a unified global liquidity metric, providing a comprehensive view of worldwide monetary conditions.
Forward Projection Feature
This adaptation displays the indicator 10 weeks ahead of the current price, allowing you to visualize potential future liquidity conditions that might influence market behavior. The projection maintains data integrity while providing an advanced view of the liquidity landscape.
Trading Applications
- Anticipate potential market reactions to changing global liquidity conditions
- Identify divergences between projected liquidity and current price action
- Develop longer-term strategic positions based on forward liquidity projections
- Enhance your macro-economic analysis toolkit
Credit
This indicator is an adaptation of the original "M2 Global Liquidity Index" created by Mik3Christ3ns3n. Full credit for the original concept and implementation goes to the original author. This version simply adds a 10-week forward projection to the existing calculations.
Disclaimer
This indicator is for informational purposes only and should be used as one of many tools in your analysis. Past performance and projections are not guarantees of future results.
MTF ATR BandsA simple but effective MTF ATR bands indicator.
The script calculate and display ATR bands low and high of the current timeframe using high, low inputs and an RMA moving average, adding to it ATR of the period multiplied with the user multiplier, default is set to 1.5.
Than is calculated a smoothed average of the range and the color of it based on its slope, same color is used to fill the atr bands.
Than the higher timeframe bands are calculated and displayed on the chart.
How can be used ?
The higher timeframe average and bands can give you long term direction of the trend and the current timeframes moving average and filling short term trend, for example using the 15 min chart with a 4h HTF bands, or an 1h with a daily, or a daily with an weekly or weekly with bi-monthly atr bands.
Also can be used as a stop loss indicator.
Hope you will like it, any question send me a PM.
Round NumbersTries to only show major round numbers regardless of whether you're looking at something priced in the thousands or under a dollar.
ReadyFor401ks Pivot / Support / ResistOverview
The ReadyFor401ks Pivot / Support / Resist indicator is a versatile tool designed to help traders identify key price levels—pivots, supports, and resistances—derived from a higher timeframe. This indicator recalculates levels based on a user-defined timeframe, providing you with a broader context for potential market reversals and continuations.
Key Features and Benefits
• Customizable Higher Timeframe:
You can select the frequency at which the levels are recalculated. For example, on a Daily chart, you might choose a 3-month timeframe to determine the pivot levels. This allows you to capture longer-term support and resistance zones that can be crucial for identifying major price reactions.
• Visual Clarity:
With toggles to show or hide the pivot, support, and resistance lines on the price chart, you have full control over the visual clutter on your chart. Additionally, you can choose to display the exact price values directly on the price scale, giving you an immediate reference as you trade.
• Enhanced Data Display:
In addition to price scale labels, the indicator offers an option to show the level values on the status line (data window). This feature is especially beneficial for traders who want to keep a close eye on these key levels without compromising chart space.
Practical Example
Imagine you’re analyzing a Daily chart while the indicator is set to recalculate levels on a 3-month frequency . Over a three-month period, the indicator determines a pivot point (P) along with three levels of resistance (R1, R2, R3) and support (S1, S2, S3). As price action unfolds, you may observe that:
• Price approaches the pivot level (P): This could indicate a potential reversal or a consolidation zone.
• Price bounces off a resistance level (e.g., R1): Signaling that the market is struggling to break higher.
• Price finds support at S1: Providing an opportunity to look for a bullish reversal.
By combining these insights with your own technical analysis, you can make more informed trading decisions based on significant levels that have been validated over a longer timeframe.
Conclusion
The ReadyFor401ks Pivot / Support / Resist indicator is ideal for traders who want to add an extra layer of confirmation to their trading strategies by identifying key price levels derived from higher timeframe data. Whether you’re a swing trader or a long-term investor, this tool helps you visualize crucial support and resistance areas, improving your market timing and risk management. Enjoy the enhanced clarity and flexibility this indicator offers on your TradingView charts!
Signal ScannerSignal Scanner
The Signal Scanner is a powerful tool designed to help traders identify high-probability trade opportunities across multiple timeframes. It works by scanning for key buy and sell signals based on a combination of trend-following indicators and market momentum.
Key Features:
Multi-Timeframe Scanning: The Signal Scanner analyzes signals across various timeframes, from scalping opportunities on the 5-minute chart to swing trades on the daily chart. This flexibility allows traders to adapt to their preferred trading style.
Trend Identification: The scanner utilizes a proprietary trend-detection algorithm that identifies both strong and weak trends in the market. It detects price action patterns, trend reversals, and consolidations to help traders make informed decisions.
Signal Alerts: Once a valid trade signal is identified, the scanner alerts traders with clear Buy and Sell indicators. These alerts are customizable and can be tailored to specific market conditions and trader preferences.
Confirmation Signals: To ensure accuracy, the Signal Scanner works in tandem with Vinnie's Trading Cheat Code and Confirm Alerts. It provides confirmation of trend direction and entry points, increasing the probability of successful trades.
How It Works:
The Signal Scanner integrates several layers of analysis to provide actionable insights:
Trend Analysis: Detects and follows prevailing market trends using a combination of moving averages and momentum indicators.
Pattern Recognition: Identifies key market patterns such as breakouts, reversals, and pullbacks, ensuring that traders enter at the most opportune times.
Customizable Settings: Allows traders to adjust parameters like timeframes, sensitivity, and alert conditions to fine-tune the scanner to their trading needs.
How to Use:
Select your preferred timeframe (e.g., 5-minute for scalping, 1-hour for day trading, or daily for swing trading).
The Signal Scanner will begin scanning the market, identifying potential entry points based on the selected criteria.
Once a valid signal is detected, the script will display Buy or Sell alerts.
Confirm signals using the accompanying indicators (such as Vinnie's Trading Cheat Code or Confirm Alerts) for added confirmation.
This tool is suitable for all types of traders, from scalpers to swing traders, and can be used in combination with other trading strategies to enhance market analysis and decision-making.
Signal Scanner - Ultimate Trend Confirmation for Futures & Scalping**
The **Signal Scanner** is a powerful tool designed for all trading instruments but optimized for **Futures trading**. It works across all timeframes, helping traders identify high-probability buy and sell signals with precision.
### 🔥 **How It Works:**
✅ **Multi-Timeframe Compatibility** – Works on all timeframes for trend confirmation.
✅ **Clear Buy & Sell Signals** – Instantly identifies market direction.
✅ **Trend Confirmation for Scalping** – Best suited for intraday & short-term trades.
### ⚡ **Scalping Strategy:**
1️⃣ **Set the Signal Scanner’s timeframe to 1 Hour in settings.**
2️⃣ **Switch to the 15-minute or 5-minute chart.**
3️⃣ **Trade in the direction of the 1-hour signal** (e.g., if the 1-hour shows a Buy, look for buying opportunities on the lower timeframe).
4️⃣ **Use additional confirmations** (e.g., CC MACD or Confirm Buy/Sell signals) for precision entries.
📈 Whether you're a Futures trader or scalper, the **Signal Scanner** helps you trade with confidence and consistency! 🚀
NeoTrend AI- Advanced Trading SignalsNeoTrend AI – Advanced Trading Signals
Overview
NeoTrend AI is an advanced trading signal indicator that uniquely integrates a kernel-based predictive model with adaptive volatility analysis. By processing historical price data through a Gaussian kernel matrix, NeoTrend AI produces a statistically informed predicted price. This prediction is then used to generate dynamic volatility bands that serve as adaptive support and resistance levels, leading to clear BUY and SELL signals.
Originality and Usefulness
Innovative Mashup: NeoTrend AI isn’t a mere combination of common indicators; it fuses a novel kernel-based forecasting method with volatility analysis. This creates a tool that not only tracks trends but also identifies key market zones with enhanced precision.
Actionable Insights: The indicator’s design helps traders understand both the underlying trend and the market’s volatility, providing a robust framework for making informed trading decisions.
Customizable Approach: With user-adjustable settings for lookback periods, prediction offsets, smoothness factors, and volatility multipliers, NeoTrend AI adapts to various markets and trading styles.
Omissions and Realistic Claims
Transparent Methodology: NeoTrend AI’s signals are generated solely from historical data analysis using well-established mathematical techniques. There are no unrealistic promises—past performance does not guarantee future results.
No Unsubstantiated Claims: All performance metrics and signal accuracy are clearly derived from the underlying methodology. This script is designed to provide useful insights rather than definitive trading outcomes.
Strategy Results
Kernel Forecasting:
The script builds a Gaussian kernel matrix over a chosen lookback period, smoothing historical price data and generating a predictive price that adjusts dynamically.
Adaptive Volatility Bands:
A volatility band is calculated based on the difference between the actual price and the predicted price, scaled by a user-defined multiplier. These bands change in real time, acting as dynamic support and resistance levels.
Signal Generation:
BUY Signal: Issued when the current price moves above the upper volatility band and the predicted price is trending upward.
SELL Signal: Issued when the price falls below the lower volatility band while the predicted price is trending downward.
Visual Examples
Buy and sell signals are generated, as clearly shown on the chart
Usage Tips
Parameter Customization: Adjust the lookback period, smoothness factor, and volatility multiplier to fit your trading timeframe and market conditions.
Combine with Other Tools: Use NeoTrend AI alongside additional technical indicators and robust risk management strategies for best results.
Backtest Thoroughly: Always perform comprehensive backtesting to understand how the indicator behaves under different market scenarios.
Final Remarks
NeoTrend AI is built to offer traders an original, data-driven insight into market trends without resorting to exaggerated or misleading claims. Its design emphasizes both innovation and practicality, ensuring that you receive actionable signals based on sound statistical methods.
Real-Time Price Comparator→ La version française se trouve plus bas ←
Real-Time Price Spread Comparator
This indicator allows you to compare the real-time price difference (spread) between two assets. It is particularly useful for spotting arbitrage opportunities or price discrepancies between different markets.
💡 Why is this useful?
This tool is especially practical for monitoring the gap between CME futures and the spot market. If the spread becomes too large, we can expect the market to rebalance, which can help anticipate potential price movements.
📌 Features:
✅ Compare two assets of your choice (default: BTC CME vs. BTC OANDA).
✅ Displays the spread as a real-time value on the chart.
✅ Customizable threshold for alerts when the spread exceeds a certain value.
✅ Visual alert: The label changes color and an alert icon appears when the threshold is exceeded.
✅ Adjustable label position to avoid obstructing candlestick wicks.
🛠️ How to Use:
1️⃣ Choose the asset to compare (for example, BTC CME).
2️⃣ Select the main chart (the one you are currently viewing, such as BTC OANDA).
3️⃣ Set the alert threshold (the spread value that will trigger an alert).
4️⃣ Adjust the label position using the offset settings if needed.
5️⃣ When the spread exceeds the threshold, an alert will be displayed!
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Comparateur de Spread en Temps Réel
Cet indicateur permet de comparer en temps réel la différence de prix (spread) entre deux actifs. Il est particulièrement utile pour détecter des opportunités d’arbitrage ou des écarts de prix entre différents marchés.
💡 Pourquoi c'est utile ?
Cet outil est pratique pour surveiller l’écart entre les contrats à terme CME et le marché spot. Si l’écart devient trop important, on peut s’attendre à ce que le marché s’équilibre, ce qui peut nous orienter sur les futurs mouvements du prix.
📌 Fonctionnalités :
✅ Comparez deux actifs de votre choix (par défaut : BTC CME vs. BTC OANDA).
✅ Affiche le spread en temps réel directement sur le graphique.
✅ Définissez un seuil d’alerte pour être notifié visuellement sur le graphique si le spread dépasse une certaine valeur.
✅ Alerte visuelle : le label change de couleur et une icône d’alerte apparaît en cas de dépassement.
✅ Ajustez la position du label pour éviter qu’il ne cache les mèches des bougies.
🛠️ Comment l’utiliser :
1️⃣ Choisissez l’actif à comparer (exemple : BTC CME).
2️⃣ Sélectionnez ensuite l’actif affiché sur votre graphique principal (exemple : BTC OANDA).
3️⃣ Définissez le seuil d’alerte (valeur du spread qui déclenchera une alerte).
4️⃣ Ajustez la position du label grâce aux options d’offset si nécessaire.
5️⃣ Si le spread dépasse le seuil, une alerte visuelle apparaîtra !
