COT Commercials Positions Table Der COT Commercials Opposite Positions Table for Forex ist ein umfangreicher TradingView-Indikator, der die Positionen der kommerziellen Marktteilnehmer (Commercials) im Rahmen des Commitments of Traders (COT)-Berichts darstellt. Er zeigt Long-, Short-, und Netto-Positionen sowie deren prozentuale Anteile für ausgewählte Märkte an.
Hauptmerkmale:
Datenquellenwahl: Unterstützt "Futures Only" und "Futures and Options".
Marktabdeckung: Umfasst Währungen, Rohstoffe, Indizes und Kryptowährungen.
Farbkodierung: Dynamische Farbverläufe zur Hervorhebung von Extremen bei Long-/Short-Positionen und Prozentsätzen.
Historische Daten: Zeigt Positionsdaten der letzten 10 Wochen an.
Anpassbare Tabelle: Klar strukturiert mit wichtigen Kennzahlen wie max./min. Positionen und Netto-Positionen.
Der Indikator ist besonders für Trader nützlich, die Marktstimmungen analysieren und Positionierungen großer Marktteilnehmer in ihre Handelsentscheidungen einbeziehen möchten.
Der Indikator ist hauptsächlich für Futures gedacht und funktioniert nur im 1 Woche Chart.
トレンド分析
Advanced Pivot Manipulation SuperTrend - Consolidation ZoneHere’s the description translated into English for your TradingView publication:
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Advanced Pivot Manipulation SuperTrend - Consolidation Zone
Description :
This advanced indicator combines multiple technical tools to provide a comprehensive analysis of trends, key levels, and consolidation zones. Ideal for traders seeking to spot opportunities while avoiding the traps of flat markets, it helps you better understand market dynamics and improve your trading decisions.
Key Features:
1.
Dynamic SuperTrend with Pivot Points:
- An enhanced SuperTrend algorithm based on pivot points for more precise trend tracking.
- Thresholds (Up/Dn) are dynamically adjusted using ATR (Average True Range) for improved volatility adaptation.
2. Consolidation Zones:
- Automatically identifies periods when the market moves within a narrow range (1% by default).
- Consolidation zones are visually highlighted to help avoid risky trades.
3. Dynamic Support and Resistance:
- Automatically calculates support and resistance levels based on a rolling period (configurable).
- These levels serve as key references for potential breakouts or trend reversals.
4. Advanced Detection Tools:
- Includes a volume multiplier and shadow-to-body ratio to signal unusual or potentially manipulated moves (e.g., spoofing).
5. Intuitive Visuals:
- SuperTrend lines are color-coded to indicate bullish (green) or bearish (red) trends.
- Semi-transparent lines mark support and resistance levels, and red backgrounds indicate consolidation zones.
Customizable Parameters:
- Pivot Point Period: Adjust the period for detecting pivot highs and lows.
- ATR Factor and Period: Control the sensitivity of the SuperTrend indicator.
- Lookback Period for S/R: Define the duration for calculating support and resistance levels.
- Volume Multiplier and Shadow/Body Ratio: Configure thresholds for detecting high volumes or anomalies in candlestick patterns.
How to Use:
- Easily identify dominant trends using the SuperTrend.
- Spot consolidation zones to avoid inefficient trades or prepare breakout strategies.
- Use support and resistance levels as reference points for placing orders or adjusting risk management.
Target Audience:
- Intraday and swing traders.
- Anyone looking for a comprehensive and customizable indicator to effectively analyze volatile markets.
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Notes:
The indicator is fully customizable to suit your needs and strategies. Feel free to experiment with the parameters to maximize its effectiveness according to your trading style.
Keywords: SuperTrend, Support and Resistance, Consolidation, Pivot Points, Trends, ATR, Advanced Trading.
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This description highlights the indicator’s strengths and is designed to appeal to the TradingView community.
OA S/R PowerPurpose of the Script
This script identifies the strength of support and resistance levels based on key factors like volume, bounce frequency, and retests. Each level is assigned a score (0-100) and visualized with color-coded labels on the chart.
Key Features
Dynamic Strength Calculation:
Volume Strength: Measures the strength based on the volume of candles touching the level.
Bounce Strength: Evaluates how often the price bounces back from the level.
Retest Strength: Scores the consistency of retests over time.
Color-Coded Visualization:
Yellow: Strong levels (Strength ≥ 70).
Orange: Medium levels (Strength between 50-70).
Red: Resistance levels (Price is below the level).
Green: Support levels (Price is above the level).
Fully Customizable Settings:
Adjust the weight for volume, bounce, and retest contributions.
Configure timeframes, percentage range, and number of levels to analyze.
How It Works
Identify Peaks and Valleys: The script calculates local highs and lows using a configurable width setting to determine potential support and resistance levels.
Filter Key Levels: Nearby levels are merged based on a user-defined percentage range, ensuring clean and relevant levels.
Strength Scoring: Levels are scored dynamically based on:
The number of touches.
The volume of touches.
The frequency of bounces and retests.
Visual Feedback: Each level is plotted on the chart with a color-coded label, indicating its importance and price relationship.
Best Use Cases
Quickly identify strong support/resistance zones for breakout or reversal trades.
Use the dynamic scoring system to prioritize key levels for your strategy.
Customize weights to align with your trading style, such as emphasizing volume or retests.
Exponential growthPurpose
The indicator plots an exponential curve based on historical price data and supports toggling between exponential regression and linear logarithmic regression. It also provides offset bands around the curve for additional insights.
Key Inputs
1. yxlogreg and dlogreg:
These are the "Endwert" (end value) and "Startwert" (start value) for calculating the slope of the logarithmic regression.
2. bars:
Specifies how many historical bars are considered in the calculation.
3.offsetchannel:
Adds an adjustable percentage-based offset to create upper and lower bands around the main exponential curve.
Default: 1 (interpreted as 10% bands).
4.lineareregression log.:
A toggle to switch between exponential function and linear logarithmic regression.
Default: false (exponential is used by default).
5.Dynamic Labels:
Creates a label showing the calculated regression values and historical bars count at the latest bar. The label is updated dynamically.
Use Cases
Exponential Growth Tracking:
Useful for assets or instruments exhibiting exponential growth trends.
Identifying Channels:
Helps identify support and resistance levels using the offset bands.
Switching Analysis Modes:
Flexibility to toggle between exponential and linear logarithmic analysis.
Adaptive Linear Regression ChannelOverview
The Adaptive Linear Regression Channel Script is an advanced, multi-functional trading tool crafted to help traders pinpoint market trends, identify potential reversals, assess volatility, and establish dynamic levels for profit-taking and position exits. By incorporating key concepts such as linear regression , standard deviation , and other volatility measures like the ATR , the script offers a comprehensive view of market behavior beyond traditional deviation metrics.
This dynamic model continuously adapts to changing market conditions, adjusting in real-time to provide clear visualizations of trends, channels, and volatility levels. This adaptability makes the script invaluable for both trend-following and counter-trend strategies, giving traders the flexibility to respond effectively to different market environments.
Background
What is Linear Regression?
Definition : Linear regression is a statistical technique used to model the relationship between a dependent variable (target) and one or more independent variables (predictors).
In its simplest form (simple linear regression), the relationship between two variables is represented by a straight line (the regression line).
y = mx + b
where :
- y is the target variable (price)
- m is the slope
- x is the independent variable (time)
- b is the intercept
Slope of the Regression Line
Definition: The slope (m) measures the rate at which the dependent variable (y) changes as the independent variable (x) changes.
Interpretation:
- A positive slope indicates an uptrend.
- A negative slope indicates a downtrend.
Uses in Trading:
- Identifying the strength and direction of market trends.
- Assessing the momentum of price movements.
R-squared (Coefficient of Determination)
Definition: A measure of how well the regression line fits the data, ranging from 0 to 1.
Calculation :
R2 = 1− (SS tot/SS res)
where:
- SSres is the sum of squared residuals.
- SStot is the total sum of squares.
Interpretation:
- Higher R2 indicates a better fit, meaning the model explains a larger proportion of the variance in the data.
Uses in Trading:
- Higher R-squared values give traders confidence in trend-based signals.
- Low R-squared values may suggest that the market is more random or volatile.
Standard Deviation
Definition: Standard Deviation quantifies the dispersion of data points in a dataset relative to the mean. A low standard deviation indicates that data points tend to be close to the mean, while a high standard deviation indicates that the data points are spread out over a larger range of values.
Calculation
σ=√∑(xi−μ)2/N
Where
- σ is the standard deviation.
- ∑ is the summation symbol, indicating that the expression that follows should be summed over all data points.
- xi, this represents the i-th data point in the dataset.
- μ\mu, this represents the mean(average) of all the data points in the dataset.
- (xi−μ)2, this is the squared difference between each data point and the mean.
- N is the total number of data points in the dataset.
- **Interpretation**
- A higher standard deviation indicates greater volatility.
- Useful for identifying overbought/oversold conditions in markets.
Key Features
Dynamic Linear Regression Channels:
The script automatically generates adaptive regression channels that expand or contract based on the current market volatility. This real-time adjustment ensures that traders are always working with the most relevant data, making it easier to spot key support and resistance levels.
The channel width itself serves as an indicator of market volatility, expanding during periods of heightened uncertainty and contracting during more stable phases. Additionally, the channel width is trained on previous channel widths , allowing the script to adapt and provide a more accurate view of volatility trends of the asset. Traders can also customize the script to train on less historical data , enabling a more recent view of volatility , which is particularly useful in fast-moving or changing markets.
Dynamic Profits and Stops:
What is it?
Dynamic profit levels allow traders to adjust take-profit targets based on real-time market conditions. Unlike static levels, which remain fixed regardless of market changes, these adaptive levels leverage past volatility data to create more flexible profit-taking strategies.
How does it work?
The script determines these levels using previously stored deviation values. These deviations are categorized into quantiles (like Q1, Q2, Q3, etc.) to classify current market conditions. As new deviation data is recorded, the profit levels are adjusted dynamically to reflect changes in market volatility. This approach helps to refine profit targets, especially when using regression channels with standard deviation rather than traditional ATR bands.
Why is it valuable?
By utilizing adaptive profit levels, traders can optimize their exits based on the current volatility landscape. For instance, when volatility increases, the dynamic levels expand, allowing trades to capture larger price movements. Conversely, during low volatility, profit targets tighten to lock in gains sooner, reducing exposure to market reversals. This flexibility is especially beneficial when combined with adaptive regression channels that respond to changes in standard deviation.
Slope-Based Trend Analysis:
One of the core elements of this script is the slope of the regression line , which helps define the direction and strength of the trend. Positive slopes indicate bullish momentum, while negative slopes suggest bearish conditions. The slope's steepness gives traders insight into the market's momentum, allowing them to adjust their strategies based on the strength of the trend.
Additionally, the script uses the slope to create a color gradient , which visually represents the intensity of the market's momentum. The gradient peaks at one color to show the maximum bullish momentum experienced in the past, while another color represents the maximum bearish momentum experienced in the past. This color-coded visualization makes it easier for traders to quickly assess the market's strength and direction at a glance.
Volatility Heatmap:
The integrated heatmap provides an intuitive, color-coded visualization of market volatility. The heatmap highlights areas where price action is expanding or contracting, giving traders a clear view of where volatility is rising or falling. By mapping out deviations from the regression line, the heatmap makes it easier to spot periods of high volatility that could lead to major market moves or potential reversals.
Deviation Concepts:
The script tracks price deviations from the regression line when a new range is formed, providing valuable insights when the price significantly deviates from the expected trend. These deviations are key in identifying potential breakout points or trend shifts .
This helps traders understand when the market is overextended or when a pullback may be imminent, allowing them to make more informed trading decisions.
Adaptive Model Properties:
Unlike static indicators, this script adapts over time . As the market changes, it stores historical data related to channel widths , slope dynamics , and volatility levels , adjusting its analysis accordingly to stay relevant to current market conditions.
Traders have the ability to train the model on all available data or specify a set number of bars to focus on more recent market activity. This flexibility allows for more tailored analysis , ensuring that traders can work with data that best fits their trading style and time horizon.
This continuous learning approach ensures that traders always have the most up-to-date insight into the market's structure.
Table
The table displays key metrics in real time to provide deeper insights into market behavior:
1. Deviation & Slope : Shows the current deviation if set to standard deviation or atr if set to atr(values used to calculated the channel widths) and the trend slope, helping to gauge market volatility and trend direction.
2. Rate of Change : For both deviation/atr and slope, the table also calculates the rate of change of their rates—essentially capturing the acceleration or deceleration of trends and volatility. This helps identify shifts in market momentum early.
3. R-squared : Indicates the strength and reliability of the trend fit. A higher value means the regression line better explains the price movements.
4. Quantiles : Uses historical deviation data to categorize current market conditions into quartiles (e.g., Q1, Q2, Q3). This helps classify the market's current volatility level, allowing traders to adjust strategies dynamically.
By combining these metrics, the table offers a comprehensive, real-time snapshot of market conditions, enabling more informed and adaptive trading decisions.
Settings
Here’s a breakdown of the script's settings for easy reference:
Linear Regression Settings
Show Dynamic Levels :Toggle to display dynamic profit levels on the chart.
Deviation Type :Select the method for calculating deviation—options include ATR (Average True Range) or Standard Deviation.
Timeframe :Sets the specific timeframe for the regression analysis (default is the chart’s timeframe).
Period :Defines the number of bars used for calculating the regression line (e.g., 50 bars).
Deviation Multiplier :Multiplier used to adjust the width of the deviation channel around the regression line.
Rate of Change :Sets the period for calculating the rate of change of the slope (used for momentum analysis).
Max Bars Back :Limits the number of historical bars to analyze (0 means all available data).
Slope Lookback :Number of bars used to calculate the slope gradient for trend detection.
Slope Gradient Display :Toggle to enable gradient coloring based on slope direction.
Slope Gradient Colors :Set colors for positive and negative slopes, respectively.
Slope Fill :Adjusts the transparency of the slope gradient fill.
Volatility Gradient Display :Toggle to enable gradient coloring based on volatility levels.
Volatility Gradient Colors :Set colors for low and high volatility, respectively.
Volatility Fill :Adjusts the transparency of the volatility gradient fill.
Table Settings
Show Table :Toggle to display the metrics table on the chart.
Table Position :Choose where to position the table (e.g., top-right, middle-center, etc.).
Font Size :Set the size of the text in the table. Options include Tiny, Small, Normal, Large, and Huge.
Bitcoin Cycle [BigBeluga]Bitcoin Cycle Indicator is designed exclusively for analyzing Bitcoin’s long-term market cycles, working only on the 1D BTC chart . This indicator provides an in-depth view of potential cycle tops and bottoms, assisting traders in identifying key phases in Bitcoin’s market evolution.
🔵 Key Features:
Heatmap Cycle Phases: The indicator colors each cycle from blue to red , reflecting Bitcoin’s market cycle progression. Cooler colors (blue/green) signal potential accumulation or early growth phases, while warmer colors (yellow/red) indicate maturation and potential top regions.
All-Time High (ATH) and Future ATH Projection: Tracks the current ATH in real-time, while applying a linear regression model to project a possible new ATH in the future. This projection aims to provide insights into the next major cycle peak for long-term strategy.
Dashboard Overview: Displays the current ATH, potential new ATH, and the percentage distance between them. This helps users assess how far the current price is from the projected target.
Top & Bottom Cycle Signals: Red down arrows mark significant price peaks, potentially indicating cycle tops. Up arrows, numbered sequentially (inside each cycle), denote possible bottom signals for strategic DCA (Dollar Cost Averaging) entries.
1D BTC Chart Only: Built solely for the 1D BTC timeframe. Switching to any other timeframe or asset will trigger a warning message: " BTC 1D Only ." This ensures accuracy in analyzing Bitcoin’s unique cyclical behavior.
🔵 When to Use:
Ideal for long-term Bitcoin investors and cycle analysts, the Bitcoin Cycle Indicator empowers users to:
Identify key accumulation and distribution phases.
Track Bitcoin’s cyclical highs and lows with visual heatmap cues.
Estimate future potential highs based on historical patterns.
Strategize long-term positions by monitoring cycle tops and possible accumulation zones.
By visualizing Bitcoin’s cycles with color-coded clarity and top/bottom markers, this indicator is an essential tool for any BTC analyst aiming to navigate market cycles effectively.
TechniTrend: Advance Custom Candle Finder (CCF)🟦 Description:
The TechniTrend: Advanced Custom Candle Finder (CCF) is a versatile tool designed to help traders identify custom candlestick patterns using various configurable criteria. This indicator provides a flexible framework to filter and highlight specific candles based on volume, volatility, candle characteristics, and other important metrics. Below is a detailed explanation of each filter and its customization options:
🟦 Volume-Based Filters
🔸Volume Spike Filter:
Enable filtering based on volume spikes. Use the Volume Spike Multiplier to define what constitutes a significant increase in volume compared to the average. A spike indicates unusually high trading interest.
🔸Volume Range Filter:
Filter candles based on specific volume ranges. Set Minimum Volume and Maximum Volume thresholds to isolate candles with trading volumes within your desired boundaries.
🟦 Candle Body & Wick Filters
🔸Body Size Filter:
Filter candles based on the size of their body. A Body Size Multiplier determines what is considered a large body relative to historical averages.
🔸Body Percentage Filter:
Filter based on the proportion of the body to the entire candle size. Use the Body Percentage Threshold to highlight candles where the body makes up a certain percentage of the total candle range.
🔸Wick-to-Body Ratio Filter:
Identify candles with specific wick-to-body ratios. A higher Wick-to-Body Ratio can indicate indecision or reversals.
🟦 Volatility & Range Filters
🔸Volatility Filter:
Highlight candles based on price changes relative to volume. The Volatility Multiplier sets the threshold for what is considered a volatile candle.
🔸Candle Range Filter:
Filter based on the range (High - Low) of each candle. Use Minimum Candle Range and Maximum Candle Range to specify your desired candle size in points or pips.
🔸Short-Term and Long-Term Volatility Filters:
Analyze volatility over different periods. Enable Short-Term Volatility or Long-Term Volatility filters to compare recent volatility against historical averages, helping you detect sudden market shifts.
🟦 Candle Color & Open/Close Filters
🔸Candle Color Filter:
Filter based on the candle's color. Choose between Bullish (close > open) or Bearish (close < open) to focus on specific market sentiments.
🔸Open/Close Price Range Filter:
Filter based on the difference between the open and close prices. Use Minimum Open/Close Range and Maximum Open/Close Range to specify your acceptable range in price movements.
🟦 Core Functionality
The CCF indicator combines these filters to provide a final signal whenever a candle meets all the enabled criteria. By default, it highlights any qualifying candle directly on the chart and changes the background color for added visibility.
🟦 Key Features:
🔸Highly Customizable Filters: Adjust the parameters for each filter to tailor the indicator to your specific needs.
🔸Multiple Conditions: Combine several conditions to identify complex candlestick patterns.
🔸Real-Time Alerts: Receive instant notifications when a matching candle pattern is found based on your custom criteria.
🟦 How to Use:
🔸Enable the filters you wish to apply (e.g., Volume Spike, Candle Body Size, Volatility).
🔸Adjust the thresholds for each filter to fine-tune the pattern recognition criteria.
🔸Observe the chart to see visual cues for candles that match your specified conditions.
🟦 Notes:
🔸Ensure that you clearly understand each filter’s role. Over-filtering with very strict criteria may reduce the number of signals.
🔸This indicator is designed to be a customizable tool, not providing buy or sell recommendations.
🔸Use in combination with other analysis tools and indicators for the best results.
Price BoundariesThe "Price Boundaries" indicator provides a dynamic framework to monitor an asset's price extremes over time. By identifying and tracking the highest and lowest levels, it equips traders with essential insights into market trends and potential trading ranges.
Main Features:
Adaptive Price Tracking:
Continuously updates the maximum and minimum price points as the market fluctuates.
Displays these levels visually on the chart using distinct color-coded lines.
Proportional Range Analysis:
Calculates the percentage difference between the current price and the identified high/low boundaries, offering a clear measure of price positioning within the range.
Shaded Visualization:
Adds visually appealing shaded zones to highlight the gaps between the price and its boundaries, enhancing clarity for traders.
Real-Time Functionality:
Processes price data dynamically, ensuring that the displayed boundaries and calculations reflect the latest market movements.
This tool is ideal for traders who want to pinpoint key market levels and assess the likelihood of price reversals or breakouts. The clear visualization of price dynamics allows for informed decision-making and better risk management.
Dynamic Horizontal Lines
Gann levels (squares of 9) have multiple levels. Adding lines at all these levels would add too much noise on the chart.
This indicator adds horizontal lines as per the Gann levels (Squares of 9) closest to the days close.
The current indicator add horizontal lines at the Gann level closest to the days close. It also adds 4 lines above & below the closest Gann level
I have considered Gann levels from 1 to 10000. You can append the Gann levels based on your requirements.
Heikin Ashi Processed Generalized Smooth StepDisclaimer : This is my attempt of smoothing and improving @tarasenko_ script. Find the originial author here :
Overview:
The Smooth Step Heikin Ashi Indicator is an enhanced version of the original script developed by tarasenko_. This advanced TradingView tool integrates Heikin Ashi candlestick calculations with a sophisticated smoothing oscillator, offering traders improved trend visualization and dynamic alert capabilities.
Key Enhancements:
Refined Heikin Ashi Calculations: The indicator computes smoothed Open, High, Low, and Close (OHLC) values with adjustable factors, allowing for more precise trend analysis. It also includes an optional second-level modified Heikin Ashi calculation for additional smoothing.
Advanced Smooth Step Oscillator: Utilizing Pascal’s triangle, this oscillator provides a visual representation of price momentum. Traders can configure the lookback period, equation order, and threshold to tailor the oscillator to specific trading strategies.
Enhanced Customization Options: Users can toggle between standard and Heikin Ashi candles, adjust smoothing parameters, and set display preferences to align with their analytical needs.
Noise Reduction: Smoothes out market fluctuations using customizable Heikin Ashi factors. Introduces a second-level smoothing option for even greater noise reduction, allowing traders to focus on the core trend.
Original Indicator :
Heikin Ashi processed version :
Visualization Features:
Heikin Ashi Candles: Displays candles with customizable colors and visibility settings, aiding in clearer trend identification.
Smooth Step Oscillator Line: Plots a line that reflects trend strength and momentum, assisting traders in making informed decisions.
Threshold Line: Provides a visual reference point to facilitate quick assessments of market conditions.
Conclusion:
Building upon tarasenko_'s original work, the Smooth Step Heikin Ashi Indicator delivers a robust tool for traders seeking refined market analysis. Its combination of advanced smoothing techniques and dynamic alert features makes it a valuable addition to any trader's toolkit.
Aligned Highs and Lows (0.25% Error, 3+ Required)This indicator shows when three or more bars in a row have the same end as the previous start within a 0.25% range. This helps identify when there is a possible accumulation or an attempt to break a support or resistance level from an order block.
MA Ratio Weighted Trend System I [InvestorUnknown]The MA Ratio Weighted Trend System I combines slow and fast indicators to identify stable trends and capture potential market turning points. By dynamically adjusting the weight of fast indicators based on the Moving Average Ratio (MAR), the system aims to provide timely entry and exit signals while maintaining overall trend stability through slow indicators.
Slow and Fast Indicators with Dynamic Weighting
Slow Indicators: Designed for stable trend identification, these indicators maintain a constant weight in the overall signal calculation. They include:
DMI For Loop (Directional Movement Index)
CCI For Loop (Commodity Channel Index)
Aroon For Loop
Fast Indicators: Aim to detect rapid market changes and potential turning points. Their weights are dynamically adjusted based on the absolute value of the Moving Average Ratio (MAR). Fast indicators include:
ZLEMA For Loop (Zero-Lag Exponential Moving Average)
IIRF For Loop (Infinite Impulse Response Filter)
Dynamic Weighting Mechanism:
Moving Average Ratio (MAR) is calculated as the ratio of the price to its moving average, minus one (for simplicity and visualization).
Weight Calculation
Fast indicator weights are determined based on the absolute value of MAR, possibly with an offset to avoid scenarios where MAR follows rapid price reversals too closely:
// Function to calculate weights based on MAR
f_mar_weights(series float mar, simple int offset, simple float weight_thre) =>
o_mar = math.abs(mar )
float fast_weight = 0
float slow_weight = 1
if o_mar != 0
if weight_thre > 0
if o_mar <= weight_thre
fast_weight := o_mar
else
fast_weight := o_mar
Threshold-Based vs. Continuous Weighting:
Threshold-Based: Fast indicators receive weight only when the absolute MAR exceeds a user-defined threshold (weight_thre).
Continuous: By setting weight_thre to zero, fast indicators always receive some weight, though this may increase false signals.
Offset Mechanism
The offset parameter shifts the MAR used for weighting by a certain number of bars. This helps avoid situations where the MAR follows sudden price movements too closely, preventing fast indicators from failing to provide timely exit signals.
Signal Calculation
The final signal is a weighted average of the slow and fast indicators:
// Calculate Signal (as weighted average)
float sig = math.round(((DMI*slow_w) + (CCI*slow_w) + (Aroon*slow_w) + (ZLEMA*fast_w) + (IIRF*fast_w)) / (3*slow_w + 2*fast_w), 2)
Backtesting and Performance Metrics
Enables users to test the indicator's performance over historical data, comparing it to a buy-and-hold strategy.
Alerts
Set up alerts for when the signal crosses above or below the thresholds.
alertcondition(long_alert, "LONG (MAR Weighted Trend System)", "MAR Weighted Trend System flipped ⬆LONG⬆")
alertcondition(short_alert, "SHORT (MAR Weighted Trend System)", "MAR Weighted Trend System flipped ⬇Short⬇")
Important Notes
Customization: Due to the experimental nature of this indicator, users are strongly encouraged to adjust and calibrate the settings to align with their trading strategies and market conditions.
Default Settings Disclaimer: The default settings are not optimized or recommended for any specific use and serve only as placeholders for the indicator's publication.
Backtest Results Disclaimer: Historical backtest results are not indicative of future performance. Market conditions change, and past results do not guarantee future outcomes.
GP - SRSI ChannelGP - SRSI Channel Indicator
The GP - SRSI Channel is a channel indicator derived from the Stochastic RSI (SRSI) oscillator. It combines SRSI data from multiple timeframes to analyze minimum, maximum, and closing values, forming a channel based on these calculations. The goal is to identify overbought and oversold zones with color coding and highlight potential trading opportunities by indicating trend reversal points.
How It Works
SRSI Calculation: The indicator calculates the Stochastic RSI values using open, high, low, and close prices from the selected timeframes.
Channel Creation: Minimum and maximum values derived from these calculations are combined across multiple timeframes. The midpoint is calculated as the average of these values.
Color Coding: Zones within the channel are color-coded with a gradient from red to green based on the ratios. Green zones typically indicate selling opportunities, while red zones suggest buying opportunities.
Visual Elements:
The channel boundaries (min/max) are displayed as lines.
Overbought/oversold regions (95-100 and 0-5) are highlighted with shaded areas.
Additional explanatory labels are placed on key levels to guide users.
How to Use
Trading Strategy: This indicator can be used for both trend following and identifying reversal points. Selling opportunities can be evaluated when the channel reaches the upper green zone, while buying opportunities can be considered in the lower red zone.
Timeframe Selection: Users can analyze multiple timeframes simultaneously to gain a broader perspective.
Customization: RSI and Stochastic RSI parameters are adjustable, allowing users to tailor the indicator to their trading strategies.
Important Note
This indicator is for informational purposes only and should not be used as a sole basis for trading decisions. Please validate the results of the indicator with your own analysis.
SessionsOverview of the "Sessions" Indicator
The "Sessions" indicator is a powerful tool designed for traders who want to visualize and analyze the market activity during different global trading sessions directly on their charts. This indicator highlights the London, New York, Tokyo, and Sydney sessions with distinct background colors, making it easy to see when each market is open.
Key Features
Session Visualization: The indicator provides clear visual cues for the active trading sessions, allowing traders to quickly identify periods of high market activity.
Customizable Timeframes: Users can set their preferred resolution for viewing session data, making it adaptable to any trading strategy.
Automatic Session Detection: The indicator automatically detects the start and end of each session based on specified times, updating in real-time as the market progresses.
Practical Applications
Trend Identification: By observing how prices move during specific sessions, traders can identify trends and make informed predictions about future price movements.
Volatility Analysis: Different sessions often exhibit varying levels of volatility. This indicator helps traders anticipate potential price spikes or lulls during these times.
Strategy Optimization: Traders can optimize their strategies by focusing on sessions that align with their trading style, whether it's the high volatility of the London session or the quieter Sydney session.
Market Overlap: The indicator makes it easy to see when sessions overlap, which is typically when the market experiences increased liquidity and volatility.
Conclusion
The "Sessions" indicator is an essential tool for traders looking to enhance their market analysis by visualizing global trading sessions. Whether you're a day trader seeking to capitalize on volatile market conditions or a swing trader looking for optimal entry and exit points, this indicator provides valuable insights into market dynamics.
Stick Figure - AYNETKey Features
Customizable Inputs:
base_price: Sets the vertical position (price level) where the figure's feet are placed.
bar_offset: Adjusts the horizontal placement of the stick figure on the chart.
body_length, arm_length, leg_length, head_size: Control the proportions of the stick figure.
Stick Figure Components:
Head: A horizontal line to symbolize the head.
Body: A vertical line for the torso.
Arms: A horizontal line extending from the torso.
Legs: Two diagonal lines representing the legs.
Dynamic Positioning:
The stick figure can be moved along the chart using bar_offset (horizontal) and base_price (vertical).
How It Works
Head:
A horizontal line (line.new) is drawn above the torso using the specified head_size.
Body:
A vertical line connects the head to the base price (base_price).
Arms and Legs:
Arms are horizontal lines extending from the middle of the body.
Legs are diagonal lines extending from the bottom of the torso.
Error Handling:
All x1 and x2 parameters are converted to int using int() to comply with Pine Script's requirements.
Example Use Case
This script is purely for fun and visualization:
Create visual markers for specific price levels or events.
Customize the stick figure's proportions to make it more prominent on the chart.
Let me know if you'd like further refinements or additions! 😊
Silver Bullet ICT Strategy [TradingFinder] 10-11 AM NY Time +FVG🔵 Introduction
The ICT Silver Bullet trading strategy is a precise, time-based algorithmic approach that relies on Fair Value Gaps and Liquidity to identify high-probability trade setups. The strategy primarily focuses on the New York AM Session from 10:00 AM to 11:00 AM, leveraging heightened market activity within this critical window to capture short-term trading opportunities.
As an intraday strategy, it is most effective on lower timeframes, with ICT recommending a 15-minute chart or lower. While experienced traders often utilize 1-minute to 5-minute charts, beginners may find the 1-minute timeframe more manageable for applying this strategy.
This approach specifically targets quick trades, designed to take advantage of market movements within tight one-hour windows. By narrowing its focus, the Silver Bullet offers a streamlined and efficient method for traders to capitalize on liquidity shifts and price imbalances with precision.
In the fast-paced world of forex trading, the ability to identify market manipulation and false price movements is crucial for traders aiming to stay ahead of the curve. The Silver Bullet Indicator simplifies this process by integrating ICT principles such as liquidity traps, Order Blocks, and Fair Value Gaps (FVG).
These concepts form the foundation of a tool designed to mimic the strategies of institutional players, empowering traders to align their trades with the "smart money." By transforming complex market dynamics into actionable insights, the Silver Bullet Indicator provides a powerful framework for short-term trading success
Silver Bullet Bullish Setup :
Silver Bullet Bearish Setup :
🔵 How to Use
The Silver Bullet Indicator is a specialized tool that operates within the critical time windows of 9:00-10:00 and 10:00-11:00 in the forex market. Its design incorporates key principles from ICT (Inner Circle Trader) methodology, focusing on concepts such as liquidity traps, CISD Levels, Order Blocks, and Fair Value Gaps (FVG) to provide precise and actionable trade setups.
🟣 Bullish Setup
In a bullish setup, the indicator starts by marking the high and low of the session, serving as critical reference points for liquidity. A typical sequence involves a liquidity grab below the low, where the price manipulates retail traders into selling positions by breaching a key support level.
This movement is often orchestrated by smart money to accumulate buy orders. Following this liquidity grab, a market structure shift (MSS) occurs, signaled by the price breaking the CISD Level—a confirmation of bullish intent. The indicator then highlights an Order Block near the CISD Level, representing the zone where institutional buying is concentrated.
Additionally, it identifies a Fair Value Gap, which acts as a high-probability area for price retracement and trade entry. Traders can confidently take long positions when the price revisits these zones, targeting the next significant liquidity pool or resistance level.
Bullish Setup in CAPITALCOM:US100 :
🟣 Bearish Setup
Conversely, in a bearish setup, the price manipulates liquidity by creating a false breakout above the high of the session. This move entices retail traders into long positions, allowing institutional players to enter sell orders.
Once the price reverses direction and breaches the CISD Level to the downside, a change of character (CHOCH) becomes evident, confirming a bearish market structure. The indicator highlights an Order Block near this level, indicating the origin of the institutional sell orders, along with an associated FVG, which represents an imbalance zone likely to be revisited before the price continues downward.
By entering short positions when the price retraces to these levels, traders align their strategies with the anticipated continuation of bearish momentum, targeting nearby liquidity voids or support zones.
Bearish Setup in OANDA:XAUUSD :
🔵 Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The Silver Bullet Indicator is a cutting-edge tool designed specifically for forex traders who aim to leverage market dynamics during critical liquidity windows. By focusing on the highly active 9:00-10:00 and 10:00-11:00 timeframes, the indicator simplifies complex market concepts such as liquidity traps, Order Blocks, Fair Value Gaps (FVG), and CISD Levels, transforming them into actionable insights.
What sets the Silver Bullet Indicator apart is its precision in detecting false breakouts and market structure shifts (MSS), enabling traders to align their strategies with institutional activity. The visual clarity of its signals, including color-coded zones and directional arrows, ensures that both novice and experienced traders can easily interpret and apply its findings in real-time.
By integrating ICT principles, the indicator empowers traders to identify high-probability entry and exit points, minimize risk, and optimize trade execution. Whether you are capturing short-term price movements or navigating complex market conditions, the Silver Bullet Indicator offers a robust framework to enhance your trading performance.
Ultimately, this tool is more than just an indicator; it is a strategic ally for traders who seek to decode the movements of smart money and capitalize on institutional strategies. With the Silver Bullet Indicator, traders can approach the market with greater confidence, precision, and profitability.
M2 Suite [KFB Quant]M2 Suite
The M2 Suite is a specialized technical indicator designed to analyze global M2 money supply data from major economies (US, EU, China, and Japan). It aggregates this macroeconomic data and transforms it into actionable insights for crypto trading, assisting with trend-following strategies on a 1D timeframe. By leveraging M2 money supply changes as an economic signal, the M2 Suite highlights potential long and short opportunities based on market liquidity trends.
Functionality:
The M2 Suite aggregates global M2 money supply data, normalizing it to USD for comparability. It calculates percentage changes over multiple timeframes (30–360 days) and averages these changes to score the strength and direction of the M2 trend. With customizable smoothing options, users can tailor the indicator to suit their trading style.
Signal Modes:
Users can choose from three signal modes for maximum flexibility:
Standard – Displays raw trend signals without smoothing.
Smoothed – Applies user-selected smoothing (EMA, SMA, or WMA) for cleaner signals.
Combined – Provides both standard and smoothed signals for a complete picture.
Indicator Features:
Thresholds: Define long and short entry points using customizable score and percentage change thresholds.
Signal Smoothing: Adjust signal clarity with selectable smoothing methods and lengths.
Visual Enhancements: Features gradient-colored signal lines, dynamic background shading, and labeled signal markers for enhanced chart readability.
Limitations:
The M2 Suite is intended for crypto markets and performs best on the 1D timeframe due to the daily data it requests. It should be used as part of a broader trading strategy, as it reflects historical macroeconomic trends and doesn’t predict future movements. Additionally, past results do not guarantee future performance.
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.
VD Zig Zag with SMAIntroduction
The VD Zig Zag with SMA indicator is a powerful tool designed to streamline technical analysis by combining Zig Zag swing lines with a Simple Moving Average (SMA). It offers traders a clear and intuitive way to analyze price trends, market structure, and potential reversals, all within a customizable framework.
Definition
The Zig Zag indicator is a trend-following tool that highlights significant price movements by filtering out smaller fluctuations. It visually connects swing highs and lows to reveal the underlying market structure. When paired with an SMA, it provides an additional layer of trend confirmation, helping traders align their strategies with market momentum.
Calculations
Zig Zag Logic:
Swing highs and lows are determined using a user-defined length parameter.
The highest and lowest points within the specified range are identified using the ta.highest() and ta.lowest() functions.
Zig Zag lines dynamically connect these swing points to visually map price movements.
SMA Logic:
The SMA is calculated using the closing prices over a user-defined period.
It smooths out price action to provide a clearer view of the prevailing trend.
The indicator allows traders to adjust the Zig Zag length and SMA period to suit their preferred trading timeframe and strategy.
Takeaways
Enhanced Trend Analysis: The Zig Zag lines clearly define the market's structural highs and lows, helping traders identify trends and reversals.
Customizable Parameters: Both the swing length and SMA period can be tailored for short-term or long-term trading strategies.
Visual Clarity: By filtering out noise, the indicator simplifies chart analysis and enables better decision-making.
Multi-Timeframe Support: Adapts seamlessly to the chart's timeframe, ensuring usability across all trading horizons.
Limitations
Lagging Nature: As with any indicator, the Zig Zag and SMA components are reactive and may lag during sudden price movements.
Sensitivity to Parameters: Improper parameter settings can lead to overfitting, where the indicator reacts too sensitively or misses significant trends.
Does Not Predict: This indicator identifies trends and structure but does not provide forward-looking predictions.
Summary
The VD Zig Zag with SMA indicator is a versatile and easy-to-use tool that combines the strengths of Zig Zag swing analysis and moving average trends. It helps traders filter market noise, visualize structural patterns, and confirm trends with greater confidence. While it comes with limitations inherent to all technical tools, its customizable features and multi-timeframe adaptability make it an excellent addition to any trader’s toolkit.
Additional Features
Have an idea or a feature you'd like to see added?
Feel free to reach out or share your suggestions here—I’m always open to updates!
CDZV Enhanced Coppock CurveThis indicator is a part of the CDZV toolkit (backtesting and automation)
The Enhanced Coppock Curve is an upgraded version of the classic Coppock Curve indicator. It incorporates several additional features for greater flexibility and analysis capabilities. This indicator is used to analyze market trends by plotting a weighted moving average (WMA) of the sum of two Rate of Change (ROC) values.
Key Features of the Indicator:
Base Calculation of the Coppock Curve:
The Coppock Curve is calculated as a weighted moving average (WMA) of the sum of two ROC values (long and short periods).
The source for the calculation is customizable (default is close).
Added Custom Moving Average:
The indicator supports three types of moving averages:
EMA (Exponential Moving Average),
SMA (Simple Moving Average),
HMA (Hull Moving Average).
Users can choose the type and length of the moving average via input settings.
The selected moving average values are displayed in the Data Window for easier analysis.
Dynamic Coloring of the Coppock Curve:
The Coppock Curve line changes color based on its value:
Green if the value is positive,
Red if the value is negative.
The line's color is also displayed in the Data Window as a numeric value:
1 for green (positive),
-1 for red (negative).
Data Window Output:
The values of the selected moving average are displayed in the Data Window.
The Coppock Curve line's color state (1 or -1) is also shown in the Data Window.
Visual Representation:
The Coppock Curve is plotted with dynamic color coding.
The selected moving average is overlaid on the Coppock Curve for deeper trend analysis.
Usage Instructions:
Add the indicator to your chart on TradingView.
Configure the inputs:
Smoothing length for the Coppock Curve,
Long and short periods for ROC,
Type and length of the moving average.
Analyze the chart:
A green Coppock Curve line indicates a bullish trend, while a red line signals a bearish trend.
The selected moving average helps further filter and confirm signals.
Use the Data Window to view numeric values for the moving average and the Coppock Curve line color.
Applications:
This indicator is ideal for assessing trend direction and strength. The added customization options and additional data make it a versatile tool for traders, enabling them to tailor the Coppock Curve to their strategies.
Multi-Period % Change Bands (Extreme Dots)Multiple Period Percentage Change Extreme Dots
This indicator visualizes percentage changes across three different timeframes (8, 13, and 21 days), highlighting extreme movements that break out of a user-defined band. It's designed to identify which timeframe is showing the most significant percentage change when prices make notable moves.
Features:
- Tracks percentage changes for 8-day, 13-day, and 21-day periods
- Customizable upper and lower bands to define significant moves
- Shows dots only for the most extreme moves (highest above band or lowest below band)
- Color-coded for easy identification:
- Blue: 8-day changes
- Green: 13-day changes
- Red: 21-day changes
- Includes current values display for all timeframes
Usage Tips:
- Shorter timeframes (8-day) are more sensitive to price changes and should use narrower bands (e.g., ±3%)
- Medium timeframes (13-day) work well with moderate bands (e.g., ±5%)
- Longer timeframes (21-day) can use wider bands (e.g., ±8%)
- Dots appear only when a timeframe shows the most extreme move above/below bands
- Use the gray zone between bands to identify normal price action ranges
The indicator helps identify which lookback period is showing the strongest momentum in either direction, while filtering out normal market noise within the bands.
Note: This is particularly useful for:
- Identifying trend strength across different timeframes
- Spotting which duration is showing the most extreme moves
- Filtering out minor fluctuations through the band system
- Comparing relative strength of moves across different periods
Cup Finder with Fibonacci-AYNETExplanation of Changes
Fibonacci Levels Integration:
Adds Fibonacci retracement levels based on a user-defined lookback (fib_length).
Retracement levels (0.0, 0.236, 0.382, 0.5, 0.618, 1.0) are calculated and drawn as horizontal lines.
Combined Visualization:
Cup patterns are visualized with dashed lines and optional channels.
Fibonacci levels are added as visual reference points on the same chart.
Customization:
Users can toggle Fibonacci levels, adjust colors, and define lookback periods.
This script combines the power of cup pattern
Gradient Filter with Fibonacci-AYNETExplanation of the Combined Features:
Dynamic Gradient Filter:
This section remains as in the previous example, calculating a smoothed filter (filt) with dynamic gradient coloring.
The color of the filter line transitions from red to green based on its RSI value.
Fibonacci Levels:
Calculates key Fibonacci retracement levels (0.0, 0.236, 0.382, 0.5, 0.618, and 1.0) over a user-defined lookback period (fib_length).
Uses the highest high and lowest low in the lookback period to determine the range.
Plotting Fibonacci Levels:
Each Fibonacci level is drawn as a horizontal line.
The lines extend back by the lookback period and are styled with dotted lines for clarity.
Features:
Customizable Inputs:
Users can enable or disable Fibonacci levels (show_fib_levels).
Adjust the color (fib_color) and width (fib_width) of Fibonacci lines.
Integrated Dynamic Filter:
Combines the filtered line with Fibonacci retracement levels to provide multi-dimensional insights.
Use Case:
Dynamic Filter:
Observe how the filtered line behaves near Fibonacci levels for potential trend continuations or reversals.
Fibonacci Levels:
Use retracement levels as key support/resistance zones to make trading decisions.
This combined script is now more functional, blending the dynamic gradient filter with Fibonacci retracement levels. Test this script in different market conditions, and let me know if additional features are required! 😊
Proximity indicator **What This Script Does**
This script is a unified, multi-dimensional tool designed for traders to analyze critical price dynamics and trends. It calculates and displays the following key metrics:
1. **Proximity to 52-Week Price**: Highlights the percentage distance of the current price from long-term support and resistance levels.
2. **Deviation from Key Moving Averages**: Measures how far the current price is from significant moving averages to provide insight into short-, medium-, and long-term trends.
3. **Average Daily Range Percentage (ADR%)**: Tracks price volatility over a 14-day period, helping traders gauge market activity and risk.
4. **3-Month Low Rebound Percentage**: Calculates the percentage rebound from the lowest price of the past three months, giving mid-term trend perspective.
This combination provides a holistic view of a stock’s position in the market and its current trend strength, making it easier to assess momentum, reversals, and volatility at a glance.
#### **How It Works**
1. **52-Week Proximity**:
- The script calculates the highest and lowest daily prices over the past 252 trading days (approx. 1 year) and compares them to the current closing price.
- It expresses the distance as a percentage, with proximity to the high indicating strength and proximity to the low suggesting weakness or oversold conditions.
2. **Moving Average Deviation**:
- You can select between **Simple Moving Average (SMA)** or **Exponential Moving Average (EMA)** for the calculations.
3. **ADR% (Volatility)**:
- It calculates the average daily price range (high - low) over the last 14 trading days and expresses it as a percentage of the current closing price.
- This metric helps traders understand current market volatility.
4. **3-Month Low Rebound**:
- It identifies the lowest price over the last 66 trading days (approx. 3 months) and calculates how much the price has rebounded from this level, expressed as a percentage.
.####**Interpretation**:
- Combine metrics for richer insights:
- A small deviation from the 10-day MA with high ADR% might indicate short-term momentum.
- A price near the 52-week high with a wide gap from the 200-day MA may signal a strong bullish trend but could also be overextended.
####**Purpose-Driven Consolidation**:
- Unlike individual indicators, this script integrates **trend**, **momentum**, and **volatility** measures in a single, cohesive framework. It’s specifically designed to complement how these elements interact in real-world trading scenarios.
