Self-Adaptive RSI with Fractal Dimension and Entropy ScalingSelf-Adaptive RSI with Fractal Dimension and Entropy Scaling
This advanced oscillator is a refined version of the RSI that integrates multi-timeframe analysis, fractal scaling, and entropy to create an adaptive, highly responsive indicator. The script leverages a range of techniques to dynamically adjust to market conditions and enhance sensitivity to trend and volatility. Here’s a breakdown of the core features:
Base and Fixed Adaptive Lengths:
A base length (input by the user) seeds the initial length for calculations. The script then calculates a fixed adaptive length as a multiplier of this base, providing consistency across different calculations.
Multi-Timeframe RSI Calculation:
The script calculates RSI across multiple timeframes (5 minutes to daily) and aggregates these values using a weighted average based on the Golden Ratio. This multi-timeframe RSI accounts for both short-term and long-term trends, making it more robust and responsive to shifts in market direction.
Enhanced RSI Using Adaptive Volume Weighting:
Price differences are smoothed and adjusted incorporating volume-based weights, allowing the RSI to adapt to changes in trading volume. This volume impact factor enhances trend detection accuracy.
Adaptive Zero-Lag RSI with Golden Ratio Smoothing:
To eliminate lag, the multi-timeframe RSI is smoothed using a zero-lag EMA based on a Golden Ratio length, adding precision to the RSI’s responsiveness while minimizing delay.
Fractal Dimension Scaling:
The oscillator is scaled to expand its range using fractal dimensions, capturing market complexity and adjusting for periods of high or low volatility. This scaling enhances sensitivity to price fluctuations.
Entropy-Based Trend Sensitivity and Volatility Compression:
The final RSI incorporates entropy scaling, achieved through a trend factor derived from a linear regression. This factor adjusts the RSI output based on market volatility and directional strength, compressing the indicator during stable periods and expanding it in high-volatility conditions.
Overbought and Oversold Thresholds Using Statistical Percentiles:
Rather than fixed thresholds, the overbought and oversold levels are set dynamically using percentile ranks (99th and 1st percentiles) over a long period, making them adaptive and reflective of historical price extremes.
This self-adaptive RSI, combining multi-timeframe weighting, fractal scaling, and entropy, provides a nuanced view of market trends and momentum. It dynamically adjusts to market volatility and structure, offering a sophisticated tool for traders seeking adaptive trend analysis and reliable entry/exit signals.
Pattern grafici
CAO BA NHAN//@version=5
indicator("Potential Buy/Sell Limit Zones", overlay=true)
// Tham số đầu vào
volume_threshold = input.float(1.5, title="Volume Spike Threshold", step=0.1)
support_resistance_length = input.int(20, title="Support/Resistance Lookback Length")
// Tính toán SMA của volume và kiểm tra volume spike
volume_sma = ta.sma(volume, support_resistance_length)
volume_spike = volume > volume_sma * volume_threshold
// Xác định hỗ trợ và kháng cự
support = ta.lowest(close, support_resistance_length)
resistance = ta.highest(close, support_resistance_length)
// Hiển thị các vùng giới hạn có khả năng
plot(volume_spike ? support : na, title="Potential Buy Limit Zone", color=color.green, linewidth=2, style=plot.style_stepline)
plot(volume_spike ? resistance : na, title="Potential Sell Limit Zone", color=color.red, linewidth=2, style=plot.style_stepline)
// Đánh dấu trên biểu đồ khi có volume spike tại các vùng hỗ trợ/kháng cự
bgcolor(volume_spike and close == support ? color.new(color.green, 80) : na, title="Buy Zone")
bgcolor(volume_spike and close == resistance ? color.new(color.red, 80) : na, title="Sell Zone")
Multi-Timeframe Moving Averages by Skyito"Hope everyone likes this and finds it useful! This multi-timeframe moving average indicator provides a comprehensive view of moving averages from various timeframes directly on one chart. It’s designed to help traders analyze market trends and levels more effectively without constantly switching between charts.
Script Explanation: This indicator supports a range of moving average types, including SMA, EMA, HMA, WMA, VWMA, RMA, SSMA, and DEMA, allowing for flexibility in analysis. Each moving average is fully customizable by length and type for each timeframe, giving you control over how trends are represented.
The indicator includes timeframes such as 15 minutes, 1 hour, 4 hours, 6 hours, 8 hours, 12 hours, 1 day, 3 days, 5 days, 1 week, 3 weeks, and 1 month. Each moving average is displayed as a line with a small dashed extension, showing a label that contains the moving average’s timeframe, type, and current price level. The dark blue labels are slightly enlarged to enhance readability on the chart, making it easier to track important levels at a glance.
Use Case: This tool is ideal for traders looking to stay aware of trend levels across multiple timeframes on one chart. Adjusting the moving averages’ lengths and types enables customization for any strategy, while the label information provides an immediate understanding of the timeframe and trend context.
Enjoy the streamlined view and the added insights from multi-timeframe analysis!"
Previous Daily Candle The Previous Daily Candle indicator is a powerful tool designed to enhance your intraday trading by providing clear visual cues of the previous day's price action. By outlining the high, low, open, and close of the previous daily candle and adding a middle dividing line, this indicator offers valuable context to inform your trading decisions.
🎯 Purpose
Visual Clarity: Highlight the key levels from the previous day's price movement directly on your intraday charts.
Trend Confirmation: Quickly identify bullish or bearish sentiment based on the previous day's candle structure.
Support and Resistance: Use the outlined high and low as potential support and resistance levels for your trading strategies.
Customizable Visualization: Tailor the appearance of the outlines and middle line to fit your trading style and chart aesthetics.
🛠️ Features
Outlined Candle Structure:
High and Low Lines: Clearly mark the previous day's high and low with customizable colors and line widths.
Open and Close Representation: Visualize the previous day's open and close through the outlined structure.
Middle Dividing Line:
Average Price Level: A horizontal line divides the candle in half, representing the average of the open and close prices.
Customizable Appearance: Adjust the color and thickness to distinguish it from the high and low outlines.
Bullish and Bearish Differentiation:
Color-Coded Outlines: Automatically change the outline color based on whether the previous day's candle was bullish (green by default) or bearish (red by default).
Enhanced Visual Feedback: Quickly assess market sentiment with intuitive color cues.
Customization Options:
Outline Colors: Choose distinct colors for bullish and bearish candle outlines to match your chart's color scheme.
Middle Line Color: Select a color that stands out or blends seamlessly with your existing chart elements.
Line Width Adjustment: Modify the thickness of all lines to ensure visibility without cluttering the chart.
Transparent Candle Body:
Non-Intrusive Display: The indicator only draws the outlines and middle line, keeping the candle body transparent to maintain the visibility of your primary chart data.
⚙️ How It Works
Data Retrieval: The indicator fetches the previous day's open, high, low, and close prices using TradingView's request.security function.
Candle Analysis: Determines whether the previous day's candle was bullish or bearish by comparing the close and open prices.
Dynamic Drawing: Upon the start of a new day, the indicator deletes the previous outlines and redraws them based on the latest data.
Time Synchronization: Accurately aligns the outlines with the corresponding time periods on your intraday chart.
📈 How to Use
Add to Chart:
Open TradingView and navigate to the Pine Editor.
Paste the provided Pine Script code into the editor.
Click on Add to Chart to apply the indicator.
Customize Settings:
Access the indicator's settings by clicking the gear icon next to its name on the chart.
Adjust the Bullish Outline Color, Bearish Outline Color, Middle Line Color, and Outline Width to your preference.
Interpret the Lines:
Bullish Candle: If the previous day's close is higher than its open, the outlines will display in the bullish color (default green).
Bearish Candle: If the previous day's close is lower than its open, the outlines will display in the bearish color (default red).
Middle Line: Represents the midpoint between the open and close, providing a quick reference for potential support or resistance.
Integrate with Your Strategy:
Use the high and low outlines as potential entry or exit points.
Combine with other indicators for confirmation to strengthen your trading signals.
BTCUSD Price Overextension from Configurable SMAsBTCUSD Price Overextension Indicator with Configurable SMAs
This indicator helps identify potential correction points for BTCUSD by detecting overextended conditions based on customizable short-term and long-term SMAs, average price deviation, and divergence.
Key Features:
Customizable SMAs: Set your own lengths for short-term (default 20) and long-term (default 50) SMAs, allowing you to tailor the indicator to different market conditions.
Overextension Detection: Detects when the average price over a set period (default 10 bars) is overextended above the short-term SMA by a configurable adjustment factor.
Divergence Threshold: Highlights when the short-term and long-term SMAs diverge beyond a specified threshold, signaling potential trend continuation.
Conditional Highlight: Displays a red background only when all conditions are met, and the current candle closes at or above the previous candle. A label "Overextended" appears only on the first bar of each overextended sequence for clear identification.
How to Use:
Identify Correction Signals: Look for red background highlights, which indicate a potential overextension based on the configured SMA and divergence thresholds.
Adjust Parameters: Use the adjustment factor, divergence threshold, and SMA lengths to fine-tune the indicator for different market environments or trading strategies.
This tool is ideal for BTCUSD traders looking to spot potential pullback areas or continuation zones by analyzing trend strength and overextension relative to key moving averages.
Bollinger Bands + RSI StrategyThe Bollinger Bands + RSI strategy combines volatility and momentum indicators to spot trading opportunities in intraday settings. Here’s a concise summary:
Components:
Bollinger Bands: Measures market volatility. The lower band signals potential buying opportunities when the price is considered oversold.
Relative Strength Index (RSI): Evaluates momentum to identify overbought or oversold conditions. An RSI below 30 indicates oversold, suggesting a buy, and above 70 indicates overbought, suggesting a sell.
Strategy Execution:
Buy Signal : Triggered when the price falls below the lower Bollinger Band while the RSI is also below 30.
Sell Signal : Activated when the price exceeds the upper Bollinger Band with an RSI above 70.
Exit Strategy : Exiting a buy position is considered when the RSI crosses back above 50, capturing potential rebounds.
Advantages:
Combines price levels with momentum for more reliable signals.
Clearly defined entry and exit points help minimize emotional trading.
Considerations:
Can produce false signals in very volatile or strongly trending markets.
Best used in markets without a strong prevailing trend.
This strategy aids traders in making decisions based on technical indicators, enhancing their ability to profit from short-term price movements.
Moving Average Pullback Signals [UAlgo]The "Moving Average Pullback Signals " indicator is designed to identify potential trend continuation or reversal points based on moving average (MA) pullback patterns. This tool combines multiple types of moving averages, customized trend validation parameters, and candlestick wick patterns to provide reliable buy and sell signals. By leveraging several advanced MA methods (such as TEMA, DEMA, ZLSMA, and McGinley-D), this script can adapt to different market conditions, providing traders with flexibility and more precise trend-based entries and exits. The addition of a gradient color-coded moving average line and wick validation logic enables traders to visualize market sentiment and trend strength dynamically.
🔶 Key Features
Multiple Moving Average (MA) Calculation Methods: This indicator offers various MA calculation types, including SMA, EMA, DEMA, TEMA, ZLSMA, and McGinley-D, allowing traders to select the MA that best fits their strategy.
Trend Validation and Pattern Recognition: The indicator includes a customizable trend validation length, ensuring that the trend is consistent before buy/sell signals are generated. The "Trend Pattern Mode" setting provides flexibility between "No Trend in Progress," "Trend Continuation," and "Both," tailoring signals to the trader’s preferred style.
Wick Validation Logic: To enhance the accuracy of entries, this indicator identifies specific wick patterns for bullish or bearish pullbacks, which signal potential trend continuation or reversal. Wick length and validation factor are adjustable to suit various market conditions and timeframes.
Gradient Color-coded MA Line: This feature provides a quick visual cue for trend strength, with color changes reflecting relative highs and lows of the MA, enhancing market sentiment interpretation.
Alerts for Buy and Sell Signals: Alerts are triggered when either a bullish or bearish pullback is detected, allowing traders to receive instant notifications without continuously monitoring the chart.
Visual Labels for Reversal Points: The indicator plots labels ("R") at potential reversal points, with color-coded labels for bullish (green) and bearish (red) pullbacks, highlighting pullback opportunities that align with the trend or reversal potential.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
William Fractals + SignalsWilliams Fractals + Trading Signals
This indicator identifies Williams Fractals and generates trading signals based on price sweeps of these fractal levels.
Williams Fractals are specific candlestick patterns that identify potential market turning points. Each fractal requires a minimum of 5 bars (2 before, 1 center, 2 after), though this indicator allows you to customize the number of bars checked.
Up Fractal (High Point) forms when you have a center bar whose HIGH is higher than the highs of 'n' bars before and after it. For example, with n=2, you'd see a pattern where the center bar's high is higher than 2 bars before and 2 bars after it. The indicator also recognizes patterns where up to 4 bars after the center can have equal highs before requiring a lower high.
Down Fractal (Low Point) forms when you have a center bar whose LOW is lower than the lows of 'n' bars before and after it. For example, with n=2, you'd see a pattern where the center bar's low is lower than 2 bars before and 2 bars after it. The indicator also recognizes patterns where up to 4 bars after the center can have equal lows before requiring a higher low.
Trading Signals:
The indicator generates signals when price "sweeps" these fractal levels:
Buy Signal (Green Triangle) triggers when price sweeps a down fractal. This requires price to go BELOW the down fractal's low level and then CLOSE ABOVE it . This pattern often indicates a failed breakdown and potential reversal upward.
Sell Signal (Red Triangle) triggers when price sweeps an up fractal. This requires price to go ABOVE the up fractal's high level and then CLOSE BELOW it. This pattern often indicates a failed breakout and potential reversal downward.
Customizable Settings:
1. Periods (default: 10) - How many bars to check before and after the center bar (minimum value: 2)
2. Maximum Stored Fractals (default: 1) - How many fractal levels to keep in memory. Older levels are removed when this limit is reached to prevent excessive signals and maintain indicator performance.
Important Notes:
• The indicator checks the actual HIGH and LOW prices of each bar, not just closing prices
• Fractal levels are automatically removed after generating a signal to prevent repeated triggers
• Signals are only generated on bar close to avoid false triggers
• Alerts include the ticker symbol and the exact price level where the sweep occurred
Common Use Cases:
• Identifying potential reversal points
• Finding stop-hunt levels where price might reverse
• Setting stop-loss levels above up fractals or below down fractals
• Trading failed breakouts/breakdowns at fractal levels
Predict Trend [Cometreon]Predict Trend is an advanced indicator designed to analyze the current trend and compare it with similar historical patterns, providing forecasts based on subsequent results of these patterns. This innovative tool uses advanced algorithms to continuously analyze market data, identifying and comparing relevant historical patterns. Predict Trend offers traders a detailed view of the possible future market trend, optimizing trading decisions.
Key Features:
Historical Pattern Analysis: The indicator identifies and compares the current trend with similar historical patterns, providing predictions based on concrete and historical data.
Customizable Precision: Offers the ability to adjust various parameters such as distance and percentage variation between levels, improving the accuracy of pattern search.
Historical Average-Based Predictions: Displays the predicted movement based on the average of all historical patterns found, allowing for informed trading decisions.
Specific Pattern Search: In addition to automatic search based on the active trend, Predict allows searching for specific patterns by manually entering the necessary data for analysis.
Forecast Visualization: Provides a detailed table with all values found and a line representing the average of results, offering a clear view of predictions based on historical data.
Technical Details and Customizable Inputs:
Predict Trend offers a range of customizable settings that allow adapting the indicator to specific needs:
Precision Parameters: Allows adjusting the length of levels, pattern precision, and the number of subsequent values to obtain after identifying historical patterns.
Specific Pattern Search: Allows manual data entry to search for specific patterns, offering greater flexibility in analysis.
Timeframe: Predict works on any timeframe, with greater precision on higher timeframes.
Chart Compatibility: It is compatible with all chart types, allowing analysis and comparison of historical patterns regardless of the chart type used.
Level 1: First correlation level for patterns. "Last Bar to Check" allows choosing the number of Pivots to check for searching patterns in the past with the same values (e.g., HH, LL, LH, and HL).
Level 2: Checks the candle distance between each level. "Error Value Up-Down" allows adding a margin value between distances.
Level 3: Verifies the percentage distance between levels. "Error Percent" allows adding an error margin to the percentage distance.
Bar to Have: Determines how many values after each pattern to display in the table.
Timezone: Enter the chart's time zone to display the precise start time of the pattern.
Manual search: Allows searching for specific patterns by manually entering up to 8 values, including special values such as:
- High Value: "HH" (Higher High) or "LH" (Lower High)
- Low Value: "LL" (Lower Low) or "HL" (Higher Low)
- Top / Bottom: "HH" (Higher High) or "LL" (Lower Low)
- Mid Level: "LH" (Lower High) or "HL" (Higher Low)
Approximate trend: Shows a trend based on the average of values for each pattern in each section. Allows customizing up to 4 colors, line thickness, and style.
Pattern table: Shows the values of identified patterns. You can customize the number of patterns to show, display order, position, size, and table style.
Displayed elements: Customize elements shown on the table, such as Number, Date, or subsequent Swing values.
Style Label: Modify the visual appearance of labels by selecting colors for background and text.
These options allow optimizing the indicator for different trading styles and market conditions, ensuring accurate and customized technical analysis.
How to Use Predict Trend:
Past Movement Analysis: Use the patterns found to compare past movements with the current trend, gaining a clear vision of possible future directions.
Using Value Averages: Analyze the average of values from found patterns to get a more direct and synthetic view of past market behavior.
Specific Pattern Search: In addition to automatic search based on the active trend, Predict allows searching for specific patterns by entering the necessary data for targeted analysis.
With Predict Trend, you can simplify your market analysis, saving time and improving the accuracy of your decisions with predictions based on concrete and verifiable historical data.
Don't waste any more time and take advantage of the precision of historical pattern analysis to gain a competitive edge in the market.
Candle Range Theory [Advanced] - AlgoVisionUnderstanding Candle Range Theory (CRT) in the AlgoVision Indicator
Candle Range Theory (CRT) is a structured approach to analyzing market movements within the price ranges of candlesticks. CRT is founded on the idea that each candlestick on a chart, regardless of timeframe, represents a distinct range of price action, marked by the candle's open, high, low, and close. This range gives insights into market dynamics, and when analyzed in lower timeframes, reveals patterns that indicate underlying market sentiment and institutional behaviors.
Key Concepts of Candle Range Theory
Candlestick Range: The range of a candlestick is simply the distance between its high and low. Across timeframes, this range highlights significant price behavior, with each candlestick representing a snapshot of price movement. The body (distance between open and close) shows the primary price action, while wicks (shadows) reflect price fluctuations or "noise" around this movement.
Multi-Timeframe Analysis: A higher-timeframe (HTF) candlestick can be dissected into smaller, structured price movements in lower timeframes (LTFs). By analyzing these smaller movements, traders gain a detailed view of the market’s progression within the HTF candlestick’s range. Each HTF candlestick’s high and low provide support and resistance levels on the LTF, where the price can "sweep," break out, or retest these levels.
Market Behavior within the Range: Price action within a range doesn’t move randomly; it follows structured behavior, often revealing patterns. By analyzing these patterns, CRT provides insights into the market’s intention to accumulate, manipulate, or distribute assets within these ranges. This behavior can indicate future market direction and increase the probability of accurate trading signals.
CRT and ICT Power of 3: Accumulation, Manipulation, and Distribution (AMD)
A foundational element of our CRT indicator is its combination with ICT’s Power of 3 (Accumulation, Manipulation, and Distribution or AMD). This approach identifies three stages of market movement:
Accumulation: During this phase, institutions accumulate positions within a tight price range, often leading to sideways movement. Here, price consolidates as institutions carefully enter or exit positions, erasing traces of their intent from public view.
Manipulation: Institutions often use manipulation to create false breakouts, targeting retail traders who enter the market on perceived breakouts or reversals. Manipulation is characterized by liquidity grabs, false breakouts, or stop hunts, as price momentarily moves outside the established range before quickly returning.
Distribution: Following accumulation and manipulation, the distribution phase aligns with the true market direction. Institutions now allow the market to move with the trend, initiating a stronger and more sustained price movement that aligns with their intended position.
This AMD cycle is often observed across multiple timeframes, allowing traders to refine entries and exits by identifying accumulation, manipulation, and distribution phases on smaller timeframes within the range of a higher-timeframe candle. CRT views this cycle as the "heartbeat" of the market—a continuous loop of price movements. With our indicator, you can identify this cycle on your current timeframe, with the signal candle acting as the "manipulation" candle.
How to Use the Premium AlgoVision CRT Indicator
1. Indicator Display Options
Bullish/Bearish Plot Indication: Toggles the display of bullish or bearish CRT signals. Turn this on to display signals on your chart or off to reduce screen clutter.
Order Block Indication: Highlights the order block entry price, which is the preferred entry point for CRT trades.
Purge Time Indication: Shows when the low or high of Candle 1 is purged by Candle 2, helping to identify potential manipulation points.
2. Filter Options
Match Indicator Candle with Signal: Ensures that only bullish Candle 2s (for longs) or bearish Candle 2s (for shorts) are signaled. This filter helps eliminate signals where the candlestick’s direction does not align with the CRT model.
Take Profit Already Reached: When enabled, this filter removes CRT signals if take profit levels are reached within Candle 2. This helps focus on setups where there’s still room for price movement.
Midnight Price Filter: Filters signals based on midnight price levels:
Longs: Only signals if the order block entry price is below the midnight price.
Shorts: Only signals if the order block entry price is above the midnight price.
3. Entry and Exit Settings
Wick out prevention: Allows positions to stay open and prevent getting wicked out. Positions will still be able to close if determined by the algorithm.
Buy/Sell: This allows you to set you daily bias. You can select to only see buys or sells.
Custom Stop Loss: Sets a custom stop loss distance from the entry price (e.g., $100 or $200 away) if the predefined stop loss based on Candle 2’s low/high doesn’t suit your preference.
Take Profit Levels: Choose from three take profit levels:
Optimized Take Profit: Uses an optimized take profit level based on CRT’s recommended exit point.
Take Profit 1: Sets an initial take profit level.
Take Profit 2: Sets a secondary take profit level for a more extended exit target.
Timeframe of Order Block: Select the timeframe of the order block entry, which can be tailored based on the timeframe of the CRT signal.
Risk-to-Reward Filter: Filters trades based on a specified risk-to-reward ratio, using the indicator’s stop loss as the base. This helps to ensure trades meet minimum reward criteria.
4. Risk Management
Fixed Entry QTY: This will allow you to open all positions with a fixed QTY
Risk to Reward Ratio: This allows you to set a minimum risk to reward ratio, the strategy will only take trades if this risk to reward is met.
Risk Type:
Fixed Amount: Allows you to risk a fixed $ amount.
% of account: Allows you to risk % of account equity.
5. Day and Time Filters
Filter by Days: Specify the days of the week for CRT signals to appear. For instance, you could enable signals only on Thursdays. This setting can be adjusted to any day or combination of days.
Purge Time Filter: Filters CRT signals based on specific purge times when Candle 1’s low/high is breached by Candle 2, as CRT setups are observed to work best during certain times.
Hour Filters for CRT Signals:
1-Hour CRT Times: Allows filtering CRT signals based on specific 1-hour time intervals.
4-Hour CRT Times: Filter 4-hour CRT signals based on specified times.
Forex and Futures Conversion: Adjusts times based on standard sessions for Forex (e.g., 9:00 AM 4-hour candle) and Futures (e.g., 10 PM candle for Futures or 8 AM for Crypto).
6. Currency and Asset-Specific Filters
Crypto vs. Forex Mode: This setting adjusts the indicator’s timing to match market sessions specific to either crypto or Forex/Futures, ensuring the CRT model aligns with the asset type.
Additional Notes
Backtesting Options: Adjust these to test risk management, such as risking a fixed amount or a percentage of the account, for historical performance insights.
Optimized Settings: This version includes all features and optimized settings, with the most refined data analysis.
Conclusion By combining CRT with ICT Power of 3, the AlgoVision Indicator allows traders to leverage the CRT candlestick as a versatile tool for identifying potential market moves. This method provides beginners and seasoned traders alike with a robust framework to understand market dynamics and refine trade strategies across timeframes. Setting alerts on the higher timeframe to catch bullish or bearish CRT signals allows you to plan and execute trades on the lower timeframe, aligning your strategy with the broader market flow.
Mini PortfolioThis code is a simple portfolio tracker calculates the Net Asset Value (NAV) of a portfolio consisting of up to 6 tickers based on Binance prices. Users can input how much of each cryptocurrency they "own," and the script then fetches the opening price of each coin.
After calculating the values of BTC, ETH, and SOL, the code sums these individual values to determine the portfolio's total value, or NAV. This NAV is then plotted on a graph, allowing users to see the overall value of their selected cryptocurrency portfolio over time.
In essence, this code allows users to track the hypothetical value of a small crypto portfolio and see how price fluctuations affect the total portfolio value. It’s a useful tool for visualizing potential portfolio performance without actual investments.
Candle Range Theory - AlgoVisionUnderstanding Candle Range Theory (CRT) in the AlgoVision Indicator
Candle Range Theory (CRT) is a structured approach to analyzing market movements within the price ranges of candlesticks. CRT is founded on the idea that each candlestick on a chart, regardless of timeframe, represents a distinct range of price action, marked by the candle's open, high, low, and close. This range gives insights into market dynamics, and when analyzed in lower timeframes, reveals patterns that indicate underlying market sentiment and institutional behaviors.
Key Concepts of Candle Range Theory
Candlestick Range: The range of a candlestick is simply the distance between its high and low. Across timeframes, this range highlights significant price behavior, with each candlestick representing a snapshot of price movement. The body (distance between open and close) shows the primary price action, while wicks (shadows) reflect price fluctuations or "noise" around this movement.
Multi-Timeframe Analysis: A higher-timeframe (HTF) candlestick can be dissected into smaller, structured price movements in lower timeframes (LTFs). By analyzing these smaller movements, traders gain a detailed view of the market’s progression within the HTF candlestick’s range. Each HTF candlestick’s high and low provide support and resistance levels on the LTF, where the price can "sweep," break out, or retest these levels.
Market Behavior within the Range: Price action within a range doesn’t move randomly; it follows structured behavior, often revealing patterns. By analyzing these patterns, CRT provides insights into the market’s intention to accumulate, manipulate, or distribute assets within these ranges. This behavior can indicate future market direction and increase the probability of accurate trading signals.
CRT and ICT Power of 3: Accumulation, Manipulation, and Distribution (AMD)
A foundational element of our CRT indicator is its combination with ICT’s Power of 3 (Accumulation, Manipulation, and Distribution or AMD). This approach identifies three stages of market movement:
Accumulation: During this phase, institutions accumulate positions within a tight price range, often leading to sideways movement. Here, price consolidates as institutions carefully enter or exit positions, erasing traces of their intent from public view.
Manipulation: Institutions often use manipulation to create false breakouts, targeting retail traders who enter the market on perceived breakouts or reversals. Manipulation is characterized by liquidity grabs, false breakouts, or stop hunts, as price momentarily moves outside the established range before quickly returning.
Distribution: Following accumulation and manipulation, the distribution phase aligns with the true market direction. Institutions now allow the market to move with the trend, initiating a stronger and more sustained price movement that aligns with their intended position.
This AMD cycle is often observed across multiple timeframes, allowing traders to refine entries and exits by identifying accumulation, manipulation, and distribution phases on smaller timeframes within the range of a higher-timeframe candle. CRT views this cycle as the "heartbeat" of the market—a continuous loop of price movements. With our indicator, you can identify this cycle on your current timeframe, with the signal candle acting as the "manipulation" candle.
How to Use the AlgoVision CRT Indicator
The AlgoVision CRT Indicator is designed to assist traders in identifying actionable points within the candle range framework. Our indicator operates by generating signals on the close of the second candle, setting up the expectation to trade the third candle as the "manipulation" candle. This is where price movement in a targeted direction typically occurs. Once you receive a signal on candle two's close, you can prepare to execute a trade on the next candle based on the manipulation phase within the CRT framework.
By setting alerts on a higher timeframe, you can receive either bullish or bearish signals that prepare you to enter trades on a lower timeframe. For instance, a bullish signal on the higher timeframe may signal to watch for a setup on the lower timeframe, allowing for precision entries during the accumulation or manipulation phases.
Conclusion By combining CRT with ICT Power of 3, the AlgoVision Indicator allows traders to leverage the CRT candlestick as a versatile tool for identifying potential market moves. This method provides beginners and seasoned traders alike with a robust framework to understand market dynamics and refine trade strategies across timeframes. Setting alerts on the higher timeframe to catch bullish or bearish CRT signals allows you to plan and execute trades on the lower timeframe, aligning your strategy with the broader market flow.
Forex V1This script is designed for use in the gold market (XAU/USD) and other commodities or forex markets. It provides traders with essential tools for monitoring market trends, volume activity, and potential profit scenarios, making it particularly useful for intraday and swing traders.
Purpose:
The script offers real-time analysis by displaying buy/sell volume statistics, and dynamic profit calculations for different trading scenarios.
It highlights key market sessions (such as Tokyo, London, New York, and Sydney) to help traders identify when global markets are active.
The customizable profit multipliers enable traders to quickly assess potential profits based on their entry point and capture points.
Key Use Case:
Primarily suited for traders tracking commodity pairs like gold (XAU/USD) and other forex instruments, where market sessions and volume trends play a significant role in decision-making.
It assists traders by offering a comprehensive overview of market sentiment, potential profit levels, and the best trading opportunities based on EMA trends and session timings.
[ AlgoChart ] - Compare MarketIndicator Description:
This indicator allows you to display a second asset, selectable from the input panel, in a separate window. Plotted on the same time scale as the first asset but with a distinct price scale, the indicator enables analysis of the relationships and relative movements of two financial instruments. It’s an ideal tool for understanding whether two assets move in a correlated or divergent manner.
Key Features:
Multi-Asset Comparison: Display two assets simultaneously to compare their trends.
Custom Scale: Each asset uses its own price scale, making comparative analysis easier.
Intuitive Interface: Easily select the second asset through the input panel.
Operational Applications:
Spread Trading: Identify optimal moments to execute spread trades when two highly correlated instruments move in opposite directions.
Supply & Demand: Pinpoint zones of interest on both assets, increasing the validity of support and resistance areas.
Exposure Reduction: Monitor instruments that move similarly to avoid exposing the portfolio in identical directions, thereby reducing the risk of double losses.
Additional Features:
Candle Color Change: When a directional divergence occurs between the two assets, the candles change color to highlight the event.
Customizable Notifications: Receive instant alerts when a divergence occurs, allowing you to act promptly.
Previous Day High and Low Count with Probabilities
Indicator Explanation
This indicator displays the number of days on which the previous day's high or low prices were not reached and calculates probabilities for future price movements based on this information. It stores the high and low values of the last 45 days and checks daily whether these levels were touched. Based on the number of days without touching either the high or the low, the indicator calculates the probability of future price movements in either direction (Up or Down).
The indicator offers customization options for label placement and color on the chart. The counts for the high and low touches, along with the calculated probabilities (in percentages), are displayed as labels on the chart. These labels can be shifted along the X-axis by up to 50 bars and can be customized in color and size. Additionally, the text for the labels can be freely chosen, giving the user improved flexibility and overview.
In summary, this indicator helps to:
- Track how often previous day's high and low levels were not reached.
- Estimate probabilities for future price movements based on this information.
- Customize the chart display for easier interpretation.
Strategy Concept
Probability and Touch Conditions:
A long position is entered only if:
The probability of reaching the high is at least 60%.
The price has not touched the previous day’s high in the last three days.
Similarly, for short positions:
The probability of reaching the low is at least 60%.
The price has not touched the previous day’s low in the last three days.
Incremental Position Size Increase:
On the 3rd consecutive day without a high/low touch and with the probability condition met, an initial position of 0.01 lots is opened.
On the 4th day, an additional position of 0.01 lots is added.
On the 5th day, an extra position of 0.02 lots is opened.
After a two-day pause, the situation is re-evaluated, and if conditions are still met, a 0.04-lot position is considered.
Trend Reversal Detection:
The strategy also includes a simple trend reversal check. If the market shows clear reversal signals, no new positions will be opened.
Adjustments and Risk Management
This strategy can be adjusted by modifying the probability values, the number of days without a high/low touch, and the lot sizes. Additionally, stop-loss and take-profit levels can be added to further control the risk and secure profits.
Strategy Concept
Probability and Touch Conditions:
A long position is entered only if:
The probability of reaching the high is at least 60%.
The price has not touched the previous day’s high in the last three days.
Similarly, for short positions:
The probability of reaching the low is at least 60%.
The price has not touched the previous day’s low in the last three days.
Incremental Position Size Increase:
On the 3rd consecutive day without a high/low touch and with the probability condition met, an initial position of 0.01 lots is opened.
On the 4th day, an additional position of 0.01 lots is added.
On the 5th day, an extra position of 0.02 lots is opened.
After a two-day pause, the situation is re-evaluated, and if conditions are still met, a 0.04-lot position is considered.
Trend Reversal Detection:
The strategy also includes a simple trend reversal check. If the market shows clear reversal signals, no new positions will be opened.
Risk Disclaimer
The author of this strategy does not assume any liability for potential losses or gains that may arise from the use of this strategy. Trading involves significant risk, and it is important to only trade with capital that you can afford to lose. The strategy presented is for educational purposes only and should not be considered as financial advice. Always conduct your own research and consider seeking advice from a professional financial advisor before making any trading decisions.
Pavan CPR Strategy Pavan CPR Strategy (Pine Script)
The Pavan CPR Strategy is a trading system based on the Central Pivot Range (CPR), designed to identify price breakouts and generate long trade signals. This strategy uses key CPR levels (Pivot, Top CPR, and Bottom CPR) calculated from the daily high, low, and close to inform trade decisions. Here's an overview of how the strategy works:
Key Components:
CPR Calculation:
The strategy calculates three critical CPR levels for each trading day:
Pivot (P): The central value, calculated as the average of the high, low, and close prices.
Top Central Pivot (TC): The midpoint of the daily high and low, acting as the resistance level.
Bottom Central Pivot (BC): Derived from the pivot and the top CPR, providing a support level.
The script uses request.security to fetch these CPR values from the daily timeframe, even when applied on intraday charts.
Trade Entry Condition:
A long position is initiated when:
The current price crosses above the Top CPR level (TC).
The previous close was below the Top CPR level, signaling a breakout above a key resistance level.
This condition aims to capture upward momentum as the price breaks above a significant level.
Exit Strategy:
Take Profit: The position is closed with a profit target set 50 points above the entry price.
Stop Loss: A stop loss is placed at the Pivot level to protect against unfavorable price movements.
Visual Reference:
The script plots the three CPR levels on the chart:
Pivot: Blue line.
Top CPR (TC): Green line.
Bottom CPR (BC): Red line.
These plotted levels provide visual guidance for identifying potential support and resistance zones.
Use Case:
The Pavan CPR Strategy is ideal for intraday traders who want to capitalize on price movements and breakouts above critical CPR levels. It provides clear entry and exit signals based on price action and is best used in conjunction with proper risk management.
Note: The strategy is written in Pine Script v5 for use on TradingView, and it is recommended to backtest and optimize it for the asset or market you are trading.
Daily CRTDaily CRT Indicator
The Daily CRT Indicator is a custom technical analysis tool designed to help traders identify and visualize key price patterns on the daily timeframe. Specifically, it detects and marks the "Sweep and Close Inside" pattern, which is a price action pattern that can signal potential trading opportunities.
Key Features:
Pattern Detection:
The indicator detects two specific price action patterns:
Sweep and Close Above: When the current price sweeps above the previous day’s high and closes inside the range, indicating a potential bullish breakout or continuation.
Sweep and Close Below: When the current price sweeps below the previous day’s low and closes inside the range, signaling a potential bearish move.
Horizontal Lines:
The indicator automatically draws horizontal lines at the previous day’s high and low levels whenever a pattern is detected, providing a visual reference for key support and resistance zones.
These lines are displayed in real-time on the chart and adjust dynamically as new patterns form.
Customizable Line Appearance:
Choose the color, thickness, and style (solid, dashed, or dotted) of the lines to fit your preferred chart aesthetic.
Alert System:
The indicator comes with built-in alerts. Set an alert to notify you when the Sweep and Close Inside pattern is detected, helping you stay on top of potential trade setups.
History Management:
Show History: Optionally display the detected patterns on previous bars (past patterns).
Customizable History Duration: Control how far back you want to view the patterns, allowing you to adjust for a cleaner chart and focus on the most recent setups.
Visual Labels:
When the pattern is detected, the indicator can display a label under the bar (customizable) to highlight the occurrence of the pattern, making it easier for traders to spot potential trade signals.
Built for the Daily Timeframe:
This indicator is specifically designed to work on the daily timeframe and is ideal for swing traders and longer-term traders who are focused on the daily price action and want to capture patterns that indicate potential market reversals or breakouts.
How It Works:
The indicator monitors the previous day's price action and looks for situations where the current price action either sweeps the previous day's high or low and then closes inside the range of the previous day's bar. This type of price movement can often signal that a reversal or continuation is about to occur. The indicator marks these setups by drawing horizontal lines and optionally displays labels for quick identification.
Settings & Customization:
Line Color: Customize the color of the lines marking the previous day’s high and low.
Line Thickness: Choose from different thickness levels for better visibility.
Line Style: Pick from solid, dashed, or dotted styles.
Show History: Toggle the display of historical patterns, with the option to control how many days back to show.
Show Labels: Option to toggle the display of labels when the pattern is detected.
Alert Condition: Receive alerts when a pattern is detected, ensuring you never miss a trade opportunity.
Ideal For:
Swing Traders: This indicator is perfect for traders looking to capture swings in the market based on daily price action.
Pattern Traders: Those who trade based on specific chart patterns will benefit from this tool, as it identifies important reversal and breakout signals.
Technical Analysts: Anyone who incorporates price action patterns into their strategy can use this tool as a supplemental analysis tool to improve their trading decisions.
By using the Daily CRT Indicator, you’ll have a powerful tool to help you spot important price action patterns that may indicate key market moves. Whether you're looking to catch breakouts, reversals, or simply track significant support and resistance levels, this indicator is a versatile addition to your trading toolkit.
This description provides a clear understanding of how the Daily CRT Indicator works and what value it offers, making it easy for traders to know if it fits their trading style. Feel free to tweak the description further depending on the details you’d like to emphasize.
3 CANDLE SUPPLY/DEMANDExplanation of the Code:
Demand Zone Logic: The script checks if the second candle closes below the low of the first candle and the third candle closes above both the highs of the first and second candles.
Zone Plotting: Once the pattern is identified, a demand zone is plotted from the low of the first candle to the high of the third candle, using a dashed green line for clarity.
Markers: A small triangle marker is added below the bars where a demand zone is detected for easy visualization.
Efficient Logic: The script checks the conditions for demand zone formation for every three consecutive candles on the chart.
This approach should be both accurate and efficient in plotting demand zones, making it easier to spot potential support levels on the chart.
Trade Rush IndicatorTrade Rush Indicator
The Trade Rush Indicator is a comprehensive tool designed for traders who seek a clear visualization of key moving averages, combined with Bollinger Bands to identify potential trading opportunities. This script provides a unique approach to trend analysis by combining multiple Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) with varying lengths, along with Bollinger Bands set to both 1 and 2 standard deviations.
Key Features:
EMAs & SMAs: The indicator includes several EMAs (5, 9, 21, 50, 100, 120, 200, 400) and SMAs (21, 50, 100, 120, 200, 400), each serving a different timeframe perspective. The EMAs and SMAs are color-coded for quick reference, and some of the longer-period moving averages (50 EMA, 100 EMA, etc.) are hidden by default to reduce chart clutter but can be manually enabled.
Bollinger Bands: Bollinger Bands are set at 1 and 2 standard deviations to assist in visualizing price volatility. The space between the 1σ and 2σ bands is filled with a light cloud, making it easy to spot periods of higher volatility. This band configuration helps traders assess potential breakout or reversal zones.
Ichimoku Cloud Overlay: Although the Ichimoku cloud calculation is included, it is hidden by default and can be activated when additional trend confirmation is needed. The cloud’s opacity is set to be subtle, allowing it to enhance chart readability without overwhelming other indicators.
Usage:
The Trade Rush Indicator is ideal for swing traders and intraday traders who rely on moving average crossovers, Bollinger Band volatility signals, and trend confirmation through Ichimoku cloud analysis. By visualizing multiple moving averages and Bollinger Bands, traders can identify trend direction, support/resistance zones, and potential breakout areas.
Originality and Value:
This script is a tailored solution for traders who seek a blend of moving averages and Bollinger Bands to enhance their trend-following strategies. Unlike standard setups, the Trade Rush Indicator provides extensive customization options, allowing traders to enable/disable specific indicators based on their trading style and preferences. Its structure also provides unique insights into volatility and trend strength by layering various EMAs and SMAs, helping traders make more informed decisions.
Heisenberg Uncertainty Moving Average (HUMA)Overview
This script introduces and approximation of the Heisenberg Uncertainty Moving Average (HUMA), inspired by the principles of quantum physics, particularly the Heisenberg Uncertainty Principle. The indicator dynamically adjusts its moving average length based on price and momentum uncertainty, ensuring adaptability to market conditions. It also features dynamic coloring to indicate the slope of the moving average.
Step-by-Step Explanation
Calculate Uncertainty in Price (Δx):
The price uncertainty is measured over a specified lookback period (length).
This is done by finding the difference between the highest high and lowest low over the period
Momentum uncertainty is defined using the Rate of Change (ROC) of the closing price over the same lookback period (length).
This indicates how much the price has changed over that period, providing a measure of momentum uncertainty.
Introduce Planck’s Constant (h):
Planck’s constant (h) is scaled down for financial use to set a theoretical minimum threshold for the product of uncertainties.
The threshold is defined as h / (4 * π) to simulate a limit that aligns with the Heisenberg Uncertainty Principle in physics.
Calculate the Uncertainty Product (Δx ⋅ Δp):
The product of price uncertainty (Δx) and the absolute value of momentum uncertainty (Δp) is calculated.
To ensure the product respects the minimum threshold set by quantum principles, the value is capped using math.max(uncertainty_product, threshold).
Normalize the Uncertainty Product to Determine the Moving Average Window Size:
The uncertainty product is used to adjust the length of the moving average dynamically.
The formula inversely adjusts the moving average length based on uncertainty: higher uncertainty results in a shorter (more responsive) window and lower uncertainty results in a longer (smoother) window.
Calculate the Heisenberg Uncertainty Moving Average (HUMA):
The slope is determined by finding the difference between the current HUMA value and the value from the previous period, smoothed with a Double Exponential Moving Average (DEMA).
This helps identify the direction of the trend: positive slope indicates an uptrend, and negative slope indicates a downtrend.
Dynamic Coloring Based on the Slope:
Bidirectional MoM w/ Time Weighting | Optional Intrabar DataBidirectional MoM w/ Time Weighting | Optional Intrabar Data
Core Components:
Intrabar Data Extraction:
The script optionally harnesses lower time frame data (e.g., per-second intervals) for high and low prices within each primary bar. You can set it to the current chart time but if you want to use intrabar data it uses the request.security_lower_tf() to properly pull intrabar data.
This fine-grained data enables an in-depth examination of the price action that occurs within a standard timeframe, enhancing the ability to detect subtle market movements.
A key threshold based on Average True Range (ATR) is used to measure significant price changes intrabar, adding a robust filter for volatility sensitivity.
Cumulative Time-to-Threshold Analysis:
The indicator tracks how long it takes for price changes to reach specified thresholds, marking critical time points when upward or downward price movements exceed these levels. This approach provides insights into the speed and intensity of directional shifts within the market.
The calculated time-to-threshold values act as temporal markers that influence subsequent momentum weighting.
Bidirectional Momentum Calculation:
Momentum is assessed in two directions (upward and downward) using a comprehensive array of price changes.
Adaptive Weighting Mechanism:
Each momentum value is weighted by the calculated time-to-threshold, giving preference to momentum that occurs more rapidly and aligning with potential breakout conditions.
The script also factors in correlations between momentum and price change, ensuring that only the most relevant signals contribute to the final analysis.
Iterative Length Analysis:
By iterating over a range of lengths (e.g., 100 to 200 periods), the script aggregates data to assess momentum across different time scales. This provides a more holistic view of market behavior, accommodating both short-term fluctuations and longer-term trends.
Each length is evaluated using moving averages and correlations to determine its contribution to the total weighted momentum.
Final Aggregated Output:
The weighted sums of upward and downward momentum are normalized by the total weight to produce a final composite metric.
The indicator plots these results as separate upward and downward momentum lines, offering traders a visual representation of which direction holds more momentum strength over various intervals.
Practical Application:
This indicator's advanced design is tailored for traders who require a deeper understanding of price movement dynamics and the underlying forces driving market momentum. By incorporating intrabar data, adaptive time-to-threshold calculations, and iterative analysis, this tool seeks to provide a clearer view of potential market direction shifts and their timing.
The indicator can be used to:
Identify potential breakout or reversal points by observing significant shifts in weighted momentum.
Gauge the relative strength of uptrends and downtrends through the plotted momentum lines.
Enhance decision-making with an additional layer of granularity from intrabar data.
In essence, this script is an ambitious attempt to blend multi-scale analysis, momentum dynamics, and time-weighted evaluation, creating a unique approach to understanding market behavior beyond conventional indicators.
Enhanced Market Analyzer with Adaptive Cognitive LearningThe "Enhanced Market Analyzer with Advanced Features and Adaptive Cognitive Learning" is an advanced, multi-dimensional trading indicator that leverages sophisticated algorithms to analyze market trends and generate predictive trading signals. This indicator is designed to merge traditional technical analysis with modern machine learning techniques, incorporating features such as adaptive learning, Monte Carlo simulations, and probabilistic modeling. It is ideal for traders who seek deeper market insights, adaptive strategies, and reliable buy/sell signals.
Key Features:
Adaptive Cognitive Learning:
Utilizes Monte Carlo simulations, reinforcement learning, and memory feedback to adapt to changing market conditions.
Adjusts the weighting and learning rate of signals dynamically to optimize predictions based on historical and real-time data.
Hybrid Technical Indicators:
Custom RSI Calculation: An RSI that adapts its length based on recursive learning and error adjustments, making it responsive to varying market conditions.
VIDYA with CMO Smoothing: An advanced moving average that incorporates Chander Momentum Oscillator for adaptive smoothing.
Hamming Windowed VWMA: A volume-weighted moving average that applies a Hamming window for smoother calculations.
FRAMA: A fractal adaptive moving average that responds dynamically to price movements.
Advanced Statistical Analysis:
Skewness and Kurtosis: Provides insights into the distribution and potential risk of market trends.
Z-Score Calculations: Identifies extreme market conditions and adjusts trading thresholds dynamically.
Probabilistic Monte Carlo Simulation:
Runs thousands of simulations to assess potential price movements based on momentum, volatility, and volume factors.
Integrates the results into a probabilistic signal that informs trading decisions.
Feature Extraction:
Calculates a variety of market metrics, including price change, momentum, volatility, volume change, and ATR.
Normalizes and adapts these features for use in machine learning algorithms, enhancing signal accuracy.
Ensemble Learning:
Combines signals from different technical indicators, such as RSI, MACD, Bollinger Bands, Stochastic Oscillator, and statistical features.
Weights each signal based on cumulative performance and learning feedback to create a robust ensemble signal.
Recursive Memory and Feedback:
Stores and averages past RSI calculations in a memory array to provide historical context and improve future predictions.
Adaptive memory factor adjusts the influence of past data based on current market conditions.
Multi-Factor Dynamic Length Calculation:
Determines the length of moving averages based on volume, volatility, momentum, and rate of change (ROC).
Adapts to various market conditions, ensuring that the indicator is responsive to both high and low volatility environments.
Adaptive Learning Rate:
The learning rate can be adjusted based on market volatility, allowing the system to adapt its speed of learning and sensitivity to changes.
Enhances the system's ability to react to different market regimes.
Monte Carlo Simulation Engine:
Simulates thousands of random outcomes to model potential future price movements.
Weights and aggregates these simulations to produce a final probabilistic signal, providing a comprehensive risk assessment.
RSI with Dynamic Adjustments:
The initial RSI length is adjusted recursively based on calculated errors between true RSI and predicted RSI.
The adaptive RSI calculation ensures that the indicator remains effective across various market phases.
Hybrid Moving Averages:
Short-Term and Long-Term Averages: Combines FRAMA, VIDYA, and Hamming VWMA with specific weights for a unique hybrid moving average.
Weighted Gradient: Applies a color gradient to indicate trend strength and direction, improving visual clarity.
Signal Generation:
Generates buy and sell signals based on the ensemble model and multi-factor analysis.
Uses percentile-based thresholds to determine overbought and oversold conditions, factoring in historical data for context.
Optional settings to enable adaptation to volume and volatility, ensuring the indicator remains effective under different market conditions.
Monte Carlo and Learning Parameters:
Users can customize the number of Monte Carlo simulations, learning rate, memory factor, and reward decay for tailored performance.
Applications:
Scalping and Day Trading:
The fast response of the adaptive RSI and ensemble learning model makes this indicator suitable for short-term trading strategies.
Swing Trading:
The combination of long-term moving averages and probabilistic models provides reliable signals for medium-term trends.
Volatility Analysis:
The ATR, Bollinger Bands, and adaptive moving averages offer insights into market volatility, helping traders adjust their strategies accordingly.
No Trade Zone Indicator [CHE]No Trade Zone Indicator
The "No Trade Zone Indicator " is a powerful tool designed to help traders identify periods when the market may not present favorable trading opportunities. By analyzing the percentage change in the 20-period Simple Moving Average (SMA20) relative to a dynamically adjusted threshold based on market volatility, this indicator highlights times when it's prudent to stay out of the market.
Why Knowing When Not to Trade Is Important
Understanding when not to trade is just as crucial as knowing when to enter or exit a position. Trading during periods of low volatility or uncertain market direction can lead to unnecessary risks and potential losses. By recognizing these "No Trade Zones," you can:
- Avoid Low-Probability Trades: Reduce the chances of entering trades with unfavorable risk-to-reward ratios.
- Preserve Capital: Protect your investment from unpredictable market movements.
- Enhance Focus: Concentrate on high-quality trading opportunities that align with your strategy.
How the Indicator Works
- SMA20 Calculation: Computes the 20-period Simple Moving Average of closing prices to identify the market's short-term trend.
- ATR Measurement: Calculates the Average True Range (ATR) over a user-defined period (default is 14) to assess market volatility.
- Dynamic Threshold: Determines an adjusted threshold by multiplying the ATR percentage by a Threshold Adjustment Factor (default is 0.05).
- Trend Analysis: Compares the percentage change of the SMA20 against the adjusted threshold to evaluate market momentum.
- Status Identification:
- Long: Indicates a rising SMA20 above the threshold—suggesting a potential upward trend.
- Short: Indicates a falling SMA20 above the threshold—suggesting a potential downward trend.
- No Trade: Signals when the SMA20 change is below the threshold, marking a period of low volatility or indecision.
Features
- Customizable Settings: Adjust the ATR period and Threshold Adjustment Factor to suit different trading styles and market conditions.
- Visual Indicators: Colored columns represent market status—green for "Long," red for "Short," and gray for "No Trade."
- On-Chart Table: An optional table displays the current market status directly on your chart for quick reference.
- Alerts: Set up alerts to receive notifications when the market enters a "No Trade Zone," helping you stay informed without constant monitoring.
How to Use the Indicator
1. Add to Chart: Apply the "No Trade Zone Indicator " to your preferred trading chart on TradingView.
2. Configure Settings: Customize the ATR period and Threshold Adjustment Factor based on your analysis and risk tolerance.
3. Interpret Signals:
- Green Columns: Consider looking for buying opportunities as the market shows upward momentum.
- Red Columns: Consider looking for selling opportunities as the market shows downward momentum.
- Gray Columns: Refrain from trading as the market lacks clear direction.
4. Monitor Alerts: Use the alert feature to get notified when the market status changes, allowing you to make timely decisions.
Conclusion
Incorporating the "No Trade Zone Indicator " into your trading toolkit can enhance your decision-making process by clearly indicating when the market may not be conducive to trading. By focusing on periods with favorable conditions and avoiding low-volatility times, you can improve your trading performance and achieve better results over the long term.
*Trade wisely, and remember—the best trade can sometimes be no trade at all.*
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
best regards
Chervolino
