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.
Indicators and strategies
Noise Footprint ImbalanceNoise Footprint Imbalance Indicator
The Noise Footprint Imbalance Indicator highlights areas of imbalance in price action, marking potential zones of support and resistance. This indicator helps traders visualize "footprints" of imbalance on the chart, allowing for better identification of areas where price moves significantly away from equilibrium. This can help traders pinpoint potential reversal points or zones where buyers or sellers may step in.
Features
Customizable Box Count: Choose the maximum number of imbalance zones displayed on the chart, keeping your workspace clear and focused.
Imbalance Detection: Highlights both top and bottom imbalances, identifying them based on price discrepancies between open/close and high/low levels.
Dynamic Zone Boxes: Draws boxes around imbalance zones with customizable colors and transparency, providing visual clarity without overwhelming the chart.
Usage
This indicator is beneficial for traders who:
Use imbalance zones as potential areas of interest for entries or exits.
Want to combine it with other indicators or price action analysis to improve trade setups.
Customization Options
Maximum Imbalance Zones: Adjusts the maximum number of imbalance boxes shown.
Imbalance Box Color: Customize the color and transparency of the imbalance zones to suit your chart's theme.
Add this script to your chart to enhance your technical analysis and bring more structure to your trading approach with the Noise Footprint Imbalance Indicator.
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.
Sticky Note Pro: Customizable Trading ChecklistStay organized and disciplined with this customizable sticky note on your TradingView chart. Perfect for traders who want to keep essential trading reminders, checklists, or notes visible while analyzing the market.
### Features:
- **Customizable Templates**: Choose from a **Trading Checklist**, **Risk Management**, or **Custom** template.
- **Section Customization**: Tailor the titles and content for up to three sections:
- 📊 **Analysis**: Track trend direction and support/resistance levels.
- 💰 **Risk Management**: Ensure proper risk management with reminders for risk percentage and stop loss settings.
- 🧠 **Psychology**: Stay disciplined with reminders to stick to your plan and avoid overtrading.
- **Dynamic Content**: Add or hide sections based on your preference, with dynamic spacing and content formatting.
- **Visual Customization**: Change text and background colors, and adjust text size and line spacing for optimal visibility.
- **Chart Integration**: The sticky note is displayed on the top-right corner of your chart and updates with the most recent bar.
### Why Use This Indicator?
This tool helps you stay on track with your trading plan, offering reminders for analysis, risk management, and trading psychology, all in one convenient place. Customize it to fit your style, and never miss a key point during your trading sessions again.
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.
Adjustable ORB with ORB multipliers "Adjustable ORB with ORB Multipliers," calculates and visually represents the Opening Range Breakout (ORB) based on a user-defined timeframe (defaulting to 15 minutes). It identifies the high and low of the opening range and shades the area between these levels in blue for clear visualization. The indicator then computes additional levels at multiples of the opening range—specifically 1x and 2x the range distance above and below the ORB. These multiplier levels are plotted on the chart (with white lines for 1x levels and yellow lines for 2x levels) and are labeled accordingly ("1x" and "2x") on the left side of each line for easy reference. Users can choose to display or hide the 1x and 2x levels through input options, allowing for customization based on trading preferences. This tool aids traders in identifying potential breakout zones and setting target levels based on the initial market movement of the day.
B-Xtrender Simplified-BUY/SELL print Thanks to @puppytherapy for creating the original B-Xtrender indicator, available at this link: B-Xtrender by Puppytherapy.
This is a modified version of the original script, which now includes Buy and Sell arrows directly plotted on the chart for clear entry signals. The core logic of the indicator remains intact, with enhancements for simplicity and usability.
Overview:
The B-Xtrender Simplified indicator is a trend-following tool designed to identify potential buy and sell opportunities based on momentum and trend confluence. It combines short-term and long-term RSI-based oscillators with exponential moving averages to detect trend shifts and provide clear, actionable signals on the chart.
This simplified version focuses on clean visuals and provides buy and sell signals using arrows, ensuring an uncluttered chart. The indicator is suitable for traders who want a straightforward tool to assist with entry signals in trending markets.
Key Components:
Short-Term Oscillator:
Measures short-term momentum using the RSI of the difference between two EMAs (Short - L1 and Short - L2).
Provides early signals for trend reversals and momentum shifts.
Long-Term Oscillator:
Evaluates broader trend strength using the RSI of a single EMA (Long - L1).
Acts as a filter to ensure signals align with the overall market trend.
Smoothed Oscillator (T3):
Applies a smoothing algorithm to the short-term oscillator to reduce noise.
Ensures the signals are more reliable and less prone to false alarms.
How It Works:
Buy Signal (Green Arrow Below Candles):
Triggered when:
The short-term oscillator is above 0 (indicating upward momentum).
The smoothed short-term oscillator (maShortTermXtrender) is rising (momentum confirmation).
The long-term oscillator is above 0 (trend confirmation).
Sell Signal (Red Arrow Above Candles):
Triggered when:
The short-term oscillator is below 0 (indicating downward momentum).
The smoothed short-term oscillator (maShortTermXtrender) is falling (momentum confirmation).
The long-term oscillator is below 0 (trend confirmation).
Alerts:
Buy and sell signals generate alerts for traders to take immediate action when conditions are met.
Customization Options:
Short-Term Parameters:
Short - L1, Short - L2, Short - L3 control the responsiveness of the short-term oscillator.
Long-Term Parameters:
Long - L1, Long - L2 adjust the sensitivity of the long-term trend filter.
Default values ensure the indicator works effectively in most market conditions, but they can be fine-tuned for specific instruments or timeframes.
Strengths:
Clarity: Uses clean buy/sell arrows for visual simplicity.
Confluence-Based: Ensures alignment between short-term momentum and long-term trend before signaling.
Real-Time Alerts: Alerts for both buy and sell signals allow for timely decision-making.
Usage Tips:
Confirm Trend:
Use the indicator on a higher timeframe (e.g., 1-hour or daily) to confirm the overall trend direction.
Combine with Other Tools:
Enhance accuracy by combining the indicator with support/resistance levels, volume analysis, or other technical indicators.
Risk Management:
Always use stop-loss orders to protect against adverse market movements.
Maintain a risk-to-reward ratio of at least 1:2.
Ideal For:
Traders seeking clear and straightforward entry signals.
Trend-following strategies in liquid markets.
Beginners who want an easy-to-interpret tool for identifying momentum-based trades.
This simplified version of the B-Xtrender retains the original power of the indicator while focusing on clean visuals and actionable signals for trend-following traders.
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.
GB Time and MinutesCalculates Goldbach Time using both hour + minute AND just the minute of the hour, with the option to toggle either one on/off
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.
IlluminateThe Illuminate script predicts the potential range of Bitcoin's top and bottom prices based on a logarithmic regression model, referencing Bitcoin's historical price trends and halvings. This script is designed to provide valuable insights into Bitcoin's price dynamics and long-term trends using principles derived from the "Bitcoin Law."
Key Features
Power Law Trend Lines
Primary Trend:
Projects the general growth trajectory of Bitcoin prices over time based on a logarithmic power law.
Resistance Line:
Identifies a potential upper limit of Bitcoin prices during market peaks.
Includes an offset trendline for an additional buffer zone.
Support Line:
Represents a possible bottom for Bitcoin prices during market downturns.
Offset trendlines highlight potential zones of price fluctuation near the support line.
Fill Zones:
Between resistance and offset: Semi-transparent Red.
Between support and offset: Semi-transparent Green/Blue.
Bitcoin Halving Events
Automatically marks significant Bitcoin halving dates with yellow vertical lines and labeled annotations.
Current and future halvings (approximate) are included.
Trending Phase Indication
A dynamic visual color fill highlights different phases of Bitcoin's price evolution based on a 4-year cycle.
Colors: Red, Green, Blue, Orange (indicating each phase).
"Trending Phase" label provides insight into the current phase.
Interactive Inputs
Show/Hide Resistance: Toggle resistance trend lines.
Show/Hide Support: Toggle support trend lines.
Show/Hide Halving Dates: Toggle visibility of halving annotations.
Customizable Parameters
Fine-tune parameters (A and n) for the main trend line to match your analysis needs.
How to Use
Overlay Analysis:
Add this script to your TradingView chart for direct overlay on Bitcoin's price data.
Interpret the Zones:
Use the resistance and support lines as potential upper and lower bounds for price movements.
Analyze fill zones for areas of likely price oscillation.
Halving Significance:
Observe price behavior before and after halving dates, which historically influence market trends.
Long-Term Perspective:
The model is optimized for long-term projections, making it suitable for strategic, rather than short-term, trading decisions.
Disclaimer:
This indicator is for educational purposes only and should not be used as investment advice. Always do your own research and consult with a financial advisor before making trading decisions.
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.
Market Open Range Breakaway v1.2Script Name: Market Open Range Breakaway 1.2
This TradingView script, "Market Open Range Breakaway," highlights the market's opening range for a user-selected day of the week. It calculates the high and low prices during a specified period after the market opens, plots these levels, and tracks the opening price. The script dynamically adjusts for time zones and only displays data during market hours on the chosen day, with optional background shading for the defined range period.
Purpose: Identifies and highlights the market's opening range for a selected day of the week.
Features: Calculates and plots the high, low, and open price during the market's opening range.
Configurable range duration (e.g., 15, 30, or 60 minutes).
Automatically adjusts for different time zones.
Displays levels only during market hours on the target day.
Optional background shading for the opening range.
Inputs: Target day of the week.
Opening range duration.
Use Case: Ideal for traders looking to analyze breakout levels or price movements around the opening range.
Daily Manipulation and Distribution Levels with Buy/Sell SignalsIndicator Summary:
This indicator is designed for intraday traders, highlighting key price levels and providing simple buy/sell signals based on price manipulation and distribution concepts.
Key Features:
Core Levels:
Manipulation Plus/Minus: Derived from the daily open and a portion of the daily range (e.g., 25%).
Distribution Levels: Daily high and low serve as ultimate targets or resistance/support levels.
Buy and Sell Signals:
Buy Signal: Triggered when the price crosses above the Manipulation Plus level. A green "BUY" label marks the entry.
Sell Signal: Triggered when the price crosses below the Manipulation Minus level. A red "SELL" label marks the entry.
Clean Chart Design:
Hides unnecessary clutter, showing only relevant key levels and labeled signals for clarity.
How to Use:
Entry Points:
Buy Entry: When a green "BUY" label appears after the price breaks above the Manipulation Plus level.
Sell Entry: When a red "SELL" label appears after the price breaks below the Manipulation Minus level.
Exit Strategy:
Take Profit: Use the Distribution Levels (daily high/low) as take-profit zones.
Stop Loss: Set just above/below the Manipulation Levels to manage risk effectively.
One to Two Trades per Session: Focus on high-probability moves to ensure clarity and reduce overtrading.
Who It’s For:
This indicator is ideal for traders seeking a structured and visual approach to intraday trading, with clear entry/exit criteria based on price manipulation and distribution theory. It simplifies decision-making and ensures clean chart setups without overwhelming visuals.
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.
Infinity Market Grid -AynetConcept
Imagine viewing the market as a dynamic grid where price, time, and momentum intersect to reveal infinite possibilities. This indicator leverages:
Grid-Based Market Flow: Visualizes price action as a grid with zones for:
Accumulation
Distribution
Breakout Expansion
Volatility Compression
Predictive Dynamic Layers:
Forecasts future price zones using historical volatility and momentum.
Tracks event probabilities like breakout, fakeout, and trend reversals.
Data Science Visuals:
Uses heatmap-style layers, moving waveforms, and price trajectory paths.
Interactive Alerts:
Real-time alerts for high-probability market events.
Marks critical zones for "buy," "sell," or "wait."
Key Features
Market Layers Grid:
Creates dynamic "boxes" around price using fractals and ATR-based volatility.
These boxes show potential future price zones and probabilities.
Volatility and Momentum Waves:
Overlay volatility oscillators and momentum bands for directional context.
Dynamic Heatmap Zones:
Colors the chart dynamically based on breakout probabilities and risk.
Price Path Prediction:
Tracks price trajectory as a moving "wave" across the grid.
How It Works
Grid Box Structure:
Upper and lower price levels are based on ATR (volatility) and plotted dynamically.
Dashed green/red lines show the grid for potential price expansion zones.
Heatmap Zones:
Colors the background based on probabilities:
Green: High breakout probability.
Blue: High consolidation probability.
Price Path Prediction:
Forecasts future price movements using momentum.
Plots these as a dynamic "wave" on the chart.
Momentum and Volatility Waves:
Shows the relationship between momentum and volatility as oscillating waves.
Helps identify when momentum exceeds volatility (potential breakouts).
Buy/Sell Signals:
Triggers when price approaches grid edges with strong momentum.
Provides alerts and visual markers.
Why Is It Revolutionary?
Grid and Wave Synergy:
Combines structural price zones (grid boxes) with real-time momentum and volatility waves.
Predictive Analytics:
Uses momentum-based forecasting to visualize what’s next, not just what’s happening.
Dynamic Heatmap:
Creates a living map of breakout/consolidation zones in real-time.
Scalable for Any Market:
Works seamlessly with forex, crypto, and stocks by adjusting the ATR multiplier and box length.
This indicator is not just a tool but a framework for understanding market dynamics at a deeper level. Let me know if you'd like to take it even further — for example, adding machine learning-inspired probability models or multi-timeframe analysis! 🚀
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.
BUY/SELL Timeframe ContinuityTime frame continuity refers to the alignment of price trends across multiple time frames. This means that the price movement is showing a consistent trend (either up or down) on various timeframes, like the 5-minute, 30-minute, hourly, and daily charts.
Why is it important?
Confirms Trend Strength: When multiple timeframes align, it indicates a strong and sustained trend.
Risk Management: Trading in the direction of the aligned trend can reduce risk.
This indicator checks if the current price of a selected timeframe is above or below its opening price. A buy/sell signal appears the second all bullish timeframes align (buy) or all bearish timeframes align. You can choose to paint the candles when the buy/sell conditions happen. You can select up to 10 different timeframes.
NOTE: With this indicator I prefer timeframes 15m, 30m, 1H, 4H, D, 5D, W - Together these timeframes are great for short-term trends on any stock.
Cosmic Cycle Trader -AYNETThe "Cosmic Cycle Trader 🌌"
Here's a summarized breakdown of the code:
Inputs
Orbital Periods (Moving Averages):
User specifies moving average (MA) periods as a comma-separated string (e.g., "10,20,50,100").
Predefined colors for each MA are used.
Fibonacci Sphere Levels:
User specifies Fibonacci retracement levels as a string (e.g., "0.236,0.382,0.618,1.0").
Color customization for Fibonacci levels is included.
Gravitational Pull (Signal Thresholds):
Configurable thresholds (buy_pull and sell_pull) to define signal triggers.
Alerts can be toggled on or off.
Core Features
Helper Functions:
parse_floats: Converts a comma-separated string into an array of floating-point numbers.
parse_ints: Converts a comma-separated string into an array of integers.
Orbital Periods (Moving Averages):
Moving averages are calculated for the given periods using the ta.sma function.
Each MA is stored in an array and plotted on the chart with a unique color.
Fibonacci Spheres:
Fibonacci levels are calculated based on the high and low of the current bar.
These levels are plotted as circles, visually indicating key price zones.
Signals:
Buy Signal: Triggered when:
The price closes above the highest MA.
The price is between specific Fibonacci levels.
Sell Signal: Triggered when:
The price closes below the lowest MA.
The price is below specific Fibonacci levels.
Alerts:
Alerts are created for buy and sell signals.
Signals are also annotated on the chart with labels and shapes.
Visual Elements
Plots:
Moving averages are plotted with distinct colors and line widths.
Fibonacci spheres are plotted as circles with customizable transparency.
Shapes:
Triangles indicate buy (green) and sell (red) signals on the chart.
Labels:
Buy signals display a "🌕 Buy" label.
Sell signals display a "🌑 Sell" label.
Purpose
This indicator helps traders identify potential buy and sell zones based on:
Moving average trends (orbital periods).
Key Fibonacci retracement levels.
Configurable thresholds (gravitational pull).
This combination of technical analysis tools makes it a visually appealing and functional indicator for traders.
