Multiple Values TableThis Pine Script indicator, named "Multiple Values Table," provides a comprehensive view of various technical indicators in a tabular format directly on your trading chart. It allows traders to quickly assess multiple metrics without switching between different charts or panels.
Key Features:
Table Position and Size:
Users can choose the position of the table on the chart (e.g., top left, top right).
The size of the table can be adjusted (e.g., tiny, small, normal, large).
Moving Averages:
Calculates the 5-day Exponential Moving Average (5DEMA) using daily data.
Calculates the 5-week and 20-week EMAs (5WEMA and 20WEMA) using weekly data.
Indicates whether the current price is above or below these moving averages in percentage terms.
Drawdown and Williams VIX Fix:
Computes the drawdown from the 365-day high to the current close.
Calculates the Williams VIX Fix (WVF), which measures the volatility of the asset.
Shows both the current WVF and a 2% drawdown level.
Relative Strength Index (RSI):
Displays the current RSI and compares it to the RSI from 14 days ago.
Indicates whether the RSI is increasing, decreasing, or flat.
Stochastic RSI:
Computes the Stochastic RSI and compares it to the value from 14 days ago.
Indicates whether the Stochastic RSI is increasing, decreasing, or flat.
Normalized MACD (NMACD):
Calculates the Normalized MACD values.
Indicates whether the MACD is increasing, decreasing, or flat.
Awesome Oscillator (AO):
Calculates the AO on a daily timeframe.
Indicates whether the AO is increasing, decreasing, or flat.
Volume Analysis:
Displays the average volume over the last 22 days.
Shows the current day's volume as a percentage of the average volume.
Percentile Calculations:
Calculates the current percentile rank of the WVF and ATH over specified periods.
Indicates the percentile rank of the current volume percentage over the past period.
Table Display:
All these values are presented in a neatly formatted table.
The table updates dynamically with the latest data.
Example Use Cases:
Comprehensive Market Analysis: Quickly assess multiple indicators at a glance.
Trend and Momentum Analysis: Identify trends and momentum changes based on various moving averages and oscillators.
Volatility and Drawdown Monitoring: Track volatility and drawdown levels to manage risk effectively.
This script offers a powerful tool for traders who want to have a holistic view of various technical indicators in one place. It provides flexibility in customization and a user-friendly interface to enhance your trading experience.
Osilatörler
Matrix Series and Vix Fix with VWAP CCI and QQE SignalsMatrix Series and Vix Fix with VWAP CCI and QQE Signals
Short Title: Advanced Matrix
Purpose
This Pine Script combines multiple technical analysis tools to create a comprehensive trading indicator. It incorporates elements like support/resistance zones, overbought/oversold conditions, Williams Vix Fix, QQE (Quantitative Qualitative Estimation) signals, VWAP CCI signals, and a 200-period SMA for trend filtering. The goal is to provide actionable buy and sell signals with enhanced visualization.
Key Features and Components
1. Matrix Series
Smoothing Input: Allows customization of EMA smoothing for the indicator (default: 5).
Support/Resistance Zones: Based on CCI (Commodity Channel Index) values.
Dynamic zones calculated with customizable parameters (SupResPeriod, SupResPercentage, PricePeriod).
Candlestick Visualization: Custom candlestick plots with colors indicating trends.
Dynamic levels for overbought/oversold conditions.
2. Overbought/Oversold Signals
Overbought and oversold levels are adjustable (ob and os).
Plots circles on the chart to highlight extreme conditions.
3. Williams Vix Fix
Identifies potential reversal points by analyzing volatility.
Uses Bollinger Bands and percentile thresholds to detect high-probability entries.
Includes two alert levels (alert1 and alert2) with customizable criteria for signal filtering.
4. QQE Signals
Based on the smoothed RSI and QQE methodology.
Detects trend changes using adaptive ATR bands (FastAtrRsiTL).
Plots long and short signals when specific conditions are met.
5. VWAP CCI Signals
Combines VWAP and CCI for additional trade signals.
Detects crossovers and crossunders of CCI levels (-200 and 200) to generate long and short signals.
6. 200 SMA
A 200-period simple moving average is plotted to act as a trend filter.
The script rules recommend buying only when the price is above the SMA200.
Customizable Inputs
General:
Smoothing, support/resistance periods, overbought/oversold levels.
Williams Vix Fix:
Lookback periods, Bollinger Band settings, percentile thresholds.
QQE:
RSI length, smoothing factor, QQE factor, and threshold values.
VWAP CCI:
Length for calculating deviations.
Visual Elements
Dynamic candlestick colors to indicate trend direction.
Overbought/oversold circles for extreme price levels.
Resistance and support lines.
Labels and shapes for buy/sell signals from Vix Fix, QQE, and VWAP CCI.
Alerts
Alerts are configured for the Matrix Series (e.g., "BUY MATRIX") and other components, ensuring traders are notified when significant conditions are met.
Intended Use
This indicator is designed for traders seeking a multi-faceted tool to analyze market trends, identify potential reversal points, and generate actionable trading signals. It combines traditional indicators with advanced techniques for comprehensive market analysis.
Strength Measurement -HTStrength Measurement -HT
This indicator provides a comprehensive view of trend strength by calculating the average ADX (Average Directional Index) across multiple timeframes. It helps traders identify strong trends, potential reversals, and confirm signals from other indicators.
Key Features:
Multi-Timeframe Analysis: Analyze trend strength across different timeframes. Choose which timeframes to include in the calculation (5 min, 15 min, 30 min, 1 hour, 4 hour).
Customizable ADX Parameters: Adjust the ADX smoothing (adxlen) and DI length (dilen) parameters to fine-tune the indicator to your preferred settings.
Smoothed Average ADX: The average ADX is smoothed using a Simple Moving Average to reduce noise and provide a clearer picture of the overall trend.
Color-Coded Visualization: The histogram clearly indicates trend direction and strength:
Green: Uptrend
Red: Downtrend
Darker shades: Stronger trend
Lighter shades: Weaker trend
Reference Levels: Includes horizontal lines at 25, 50, and 75 to provide benchmarks for trend strength classification.
Alerts: Set alerts for strong trend up (ADX crossing above 50) and weakening trend (ADX crossing below 25).
How to Use:
Select Timeframes: Choose the timeframes you want to include in the average ADX calculation.
Adjust ADX Parameters: Fine-tune the adxlen and dilen values based on your trading style and the timeframe of the chart.
Identify Strong Trends: Look for histogram bars with darker green or red colors, indicating a strong trend.
Spot Potential Reversals: Watch for changes in histogram color and height, which may suggest a weakening trend or a potential reversal.
Combine with Other Indicators: Use this indicator with other technical analysis tools to confirm trading signals.
Note: This indicator is based on the ADX, which is a lagging indicator.
Multiasset MVRVZ - MVRVZ for Multiple Crypto Assets [Da_Prof]This indicator shows the Market Value-Realized Value Z-score (MVRVZ) for Multiple Assets. The MVRV-Z score measures the value of a crypto asset by comparing its market cap to the realized value and dividing by the standard deviation of the market cap (market cap – realized cap) / stdev(market cap) to get a z-score. When the market value is significantly higher than the realized value, the asset may be considered "overvalued". Conversely, market values below the realized value may indicate the asset is "undervalued". For some assets (e.g., BTC) historically high values have generally signaled price tops and historically low values have signaled bottoms.
The indicator displays two lines: 1) the MVRV-Z of the current chart symbol if the data is available through Coin Metrics (this is displayed in light blue), and 2) the MVRV-Z of the symbol selected from the dropdown (displayed in orange). The MVRV-Z of BTC is the default selected orange line. The example chart shows CRYPTOCAP:ETH 's MVRV-Z in blue and CRYPTOCAP:BTC 's MVRV-Z in orange.
The MVRV-Z in this indicator is calculated on the weekly and will display consistently on lower timeframes. Some MVRV-Z indicators calculate this value from collection of all data from the beginning of the chart on the timeframe of the chart. This creates inconsistency in the standard deviation calculation and ultimately the z-score calculation when moving between time frames. This indicator calculates MVRV-Z based on the set number of weeks prior from the source data directly (default is two years worth of weekly data). This allows consistent MVRV-Z values on weekly and lower timeframes.
PDF MA For Loop [BackQuant]PDF MA For Loop
Introducing the PDF MA For Loop, an innovative trading indicator that combines Probability Density Function (PDF) smoothing with a dynamic for-loop scoring mechanism. This advanced tool provides traders with precise trend-following signals, helping to identify long and short opportunities with improved clarity and adaptability to market conditions.
If you would like to check out the stand alone PDF Moving Average:
Core Concept: Probability Density Function (PDF) Smoothing
The PDF smoothing method is a unique approach that applies adaptive weights to price data based on a Probability Density Function. This ensures that recent data points receive appropriate emphasis while maintaining a smooth transition across the data set. The result is a moving average that is not only smoother but also more responsive to market changes.
Key parameters in PDF smoothing:
Variance : Controls the spread of the PDF, where a higher value results in broader smoothing and a lower value makes the moving average more sensitive.
Mean : Centers the PDF around a specific value, influencing the weighting and responsiveness of the smoothing process.
By combining PDF smoothing with traditional moving averages (EMA or SMA), the indicator creates a hybrid signal that balances responsiveness and reliability.
For-Loop Scoring Mechanism
At the heart of this indicator is the for-loop scoring mechanism, which evaluates the smoothed PDF moving average over a defined range of historical data points. This process assigns a score to the current market condition based on whether the PDF moving average is greater than or less than previous values.
Long Signal: A long signal is generated when the score exceeds the Long Threshold (default set at 40), indicating upward momentum.
Short Signal: A short signal is triggered when the score crosses below the Short Threshold (default set at -10), suggesting potential downward momentum.
This dynamic scoring system ensures that the indicator remains adaptive, capturing trends and shifts in market sentiment effectively.
Customization Options
The PDF MA For Loop includes a variety of customizable settings to fit different trading styles and strategies:
Calculation Settings
Price Source : Select the input price for the calculation (default is the close price).
Smoothing Method : Choose between EMA or SMA for the additional smoothing layer, providing flexibility to adapt to market conditions.
Smoothing Period : Adjust the lookback period for the smoothing function, with shorter periods providing more sensitivity and longer periods offering greater stability.
Variance & Mean : Fine-tune the PDF function parameters to control the weighting of the smoothing process.
Signal Settings
Thresholds : Customize the upper and lower thresholds to define the sensitivity of the long and short signals.
For Loop Range : Set the range of historical data points analyzed by the for-loop, influencing the depth of the scoring mechanism.
UI Settings
Signal Line Width: Adjust the thickness of the plotted signal line for better visibility.
Candle Coloring: Enable or disable the coloring of candlesticks based on trend direction (green for long, red for short, gray for neutral).
Background Coloring: Add background shading to highlight long and short signals for an enhanced visual experience.
Alerts and Automation
The indicator includes built-in alert conditions to notify traders of important market events:
Long Signal Alert: Notifies when the score exceeds the upper threshold, indicating a bullish trend.
Short Signal Alert: Notifies when the score crosses below the lower threshold, signaling a bearish trend.
These alerts can be configured for real-time notifications, allowing traders to respond quickly to market changes without constant chart monitoring.
Trading Applications
The PDF MA For Loop is versatile and can be applied across various trading strategies and market conditions:
Trend Following: The PDF smoothing method combined with for-loop scoring makes this indicator particularly effective for identifying and following trends.
Reversal Trading: By observing the thresholds and score, traders can anticipate potential reversals when the trend shifts from long to short (or vice versa).
Risk Management: The dynamic thresholds and scoring provide clear signals, allowing traders to enter and exit trades with greater confidence and precision.
Final Thoughts
The PDF MA For Loopis merges advanced mathematical concepts with practical trading tools. By leveraging Probability Density Function smoothing and a dynamic for-loop scoring system, it provides traders with clear, actionable signals while adapting to market conditions.
Whether you’re looking for an edge in trend-following strategies or seeking precision in identifying reversals, this indicator offers the flexibility and power to enhance your trading decisions
As always, backtesting and integrating the PDF MA For Loop into a comprehensive trading strategy is recommended for optimal performance, as no single indicator should be used in isolation.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Money Maykah -- MA slopesThe idea behind this script is to play with the idea of summing integration (IT) and differentiation (DT) of a T3 signal (smoothed with sma or ema). The sum is IT + DT.
Obviously this is not exactly these mathematical concepts, but what occurs is that it generates an oscillator that somewhat gets rid of skew in the oscillations in the market.
There is a signal IDE which sums the full IT + DT which shows a longer term oscillation. This will have a much larger range of numbers in amplitude so it may be a little annoying to move the scale around by hand. I don't care to fix this right now but I'm sure it can be done quite easily for someone else.
I was also playing with the idea of using a Normalization oscillator with this and seeing how the two compare and whether they could be used in some sort of strategy. Both have unpredictable behaviors but hey the market is unpredictable so have at it!
Quartile For Loop [SeerQuant]Quartile For Loop (QFL)
- The Quartile For Loop (QFL) is an advanced trend-following and scoring oscillator designed to detect momentum shifts and trend transitions using a quartile-based analysis. By leveraging quartile calculations and iterative scoring logic, QFL delivers dynamic trend signals which can be tailored to suit various market conditions.
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⚙️ How It Works
1️⃣ Quartile-Based Calculation
The indicator calculates the weighted average of the first quartile (Q1), median (Q2), and third quartile (Q3) over a customizable length, providing a robust adaptive trend value.
2️⃣ For Loop Scoring System
A unique for-loop structure iteratively scores each quartile value against historical data, delivering actionable trend signals. Users can toggle between price-based and quartile-based scoring methods for flexibility.
3️⃣ Threshold Logic
Bullish (Uptrend): Score exceeds the positive threshold.
Bearish (Downtrend): Score falls below the negative threshold.
Neutral: Score remains between thresholds.
4️⃣ Visual Trend Enhancements
Optional candle coloring and a color-coded SMA provide clear visual cues for identifying trend direction. The adaptive quartile is dynamically updated to reflect changing market conditions.
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✨ Customizable Settings
Indicator Inputs
Quartile Length: Define the calculation length for quartile analysis.
Calculation Source: Choose the data source for quartile calculations (e.g., close price).
Alternate Signal: Toggle between price-based and quartile-based scoring.
Loop Settings
Start/End Points: Set the range for the for-loop scoring system.
Thresholds: Customize uptrend and downtrend thresholds.
Style Settings
Candle Coloring: Enable optional trend-based candle coloring.
Color Schemes: Select from five unique palettes for trend visualization.
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🚀 Features and Benefits
Quartile-Driven Analysis: Harnesses the statistical power of quartiles for adaptive trend evaluation.
Dynamic Scoring: Iterative scoring logic adjusts to market fluctuations.
Clear Visual Representation: Color-coded histograms, candles, and trendlines enhance readability.
Fully Customizable: Flexible inputs allow adaptation to diverse trading styles and strategies.
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📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Market analysis is inherently speculative and subject to risk. Users should consult a licensed financial advisor before making trading decisions. Use at your own discretion.
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Internal Bar Strength (IBS) Strategy█ STRATEGY DESCRIPTION
The "Internal Bar Strength (IBS) Strategy" is a mean-reversion strategy designed to identify trading opportunities based on the closing price's position within the daily price range. It enters a long position when the IBS indicates oversold conditions and exits when the IBS reaches overbought levels. This strategy was designed to be used on the daily timeframe.
█ WHAT IS INTERNAL BAR STRENGTH (IBS)?
Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as:
IBS = (Close - Low) / (High - Low)
- **Low IBS (≤ 0.2)**: Indicates the close is near the bar's low, suggesting oversold conditions.
- **High IBS (≥ 0.8)**: Indicates the close is near the bar's high, suggesting overbought conditions.
█ SIGNAL GENERATION
1. LONG ENTRY
A Buy Signal is triggered when:
The IBS value drops below the Lower Threshold (default: 0.2).
The signal occurs within the specified time window (between `Start Time` and `End Time`).
2. EXIT CONDITION
A Sell Signal is generated when the IBS value rises to or above the Upper Threshold (default: 0.8). This prompts the strategy to exit the position.
█ ADDITIONAL SETTINGS
Upper Threshold: The IBS level at which the strategy exits trades. Default is 0.8.
Lower Threshold: The IBS level at which the strategy enters long positions. Default is 0.2.
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for ranging markets and performs best when prices frequently revert to the mean.
It is sensitive to extreme IBS values, which help identify potential reversals.
Backtesting results should be analyzed to optimize the Upper/Lower Thresholds for specific instruments and market conditions.
ZenAlgo - Advanced RSIZenAlgo - Advanced RSI is a technical indicator that combines the classic Relative Strength Index (RSI) with advanced tools, such as moving averages, histograms, divergence detection, and trend analysis. This integration provides traders with deeper insights into market dynamics, helping them identify critical entry and exit points. The indicator is designed to synergistically merge these features, delivering a comprehensive analytical tool that simplifies market analysis while providing actionable insights.
Additionally, it includes a Multi TimeFrame table, allowing traders to monitor RSI values and trends across six different timeframes in one view. This enhancement provides a broader perspective on market dynamics and helps traders identify consistent or diverging trends across multiple timeframes, enabling more precise decision-making.
Features
RSI with Moving Averages:
Offers five types of moving averages (SMA, EMA, WMA, SMMA, VWMA) to suit various trading styles and market conditions.
Moving averages are overlaid on RSI, allowing traders to detect support/resistance levels and momentum shifts directly on the RSI panel.
RSI Histogram:
Displays the difference between RSI and its moving average.
Positive histogram values indicate rising momentum, while negative values show declining momentum.
Automatically detects and highlights divergences with color-coded bars (red for bearish, green for bullish).
Bollinger Bands for RSI:
Adds upper and lower bands to RSI, visualizing volatility and overbought/oversold conditions.
Divergence Detection:
Identifies and visualizes both regular and hidden divergences, marking key reversal or trend continuation points.
Labels divergences with R (regular) or H (hidden) to provide clarity on their implications.
Bollinger Bands for RSI:
Adds upper and lower bands to RSI, visualizing volatility and overbought/oversold conditions.
Diamond Signals:
Marks crossovers of RSI and its moving average in overbought (RSI > 70) or oversold (RSI < 30) zones with diamond symbols, highlighting potential reversals.
Multi TimeFrame Table:
Displays RSI values for six different timeframes in a clear and intuitive table.
Calculates the trend on each timeframe based on the average direction of the last three candles. Trends are categorized as "rising" (increasing), "falling" (decreasing), or "neutral" (stable).
Provides easily interpretable insights across timeframes, allowing traders to focus on the current chart without switching timeframes manually.
Added Value: Why Is This Indicator Original/Why Shall You Pay for This Indicator?
ZenAlgo - Advanced RSI is a cohesive system where each component enhances the others. The originality and added value of the indicator come from:
1. Synergy Between Components:
Unlike standalone indicators, which can provide isolated or incomplete insights, ZenAlgo - Advanced RSI combines RSI, moving averages, and divergence detection into a unified system. For instance:
The RSI histogram integrates momentum and trend strength in a single visualization, eliminating the need for multiple separate tools.
Divergences are calculated using both price action and histogram trends, providing more reliable signals compared to divergence detection using only RSI.
2. Customization for Traders:
The ability to select from various moving averages (e.g., EMA for fast responses, SMA for smoother trends) allows users to tailor the indicator to different trading environments and strategies.
3. Actionable Visual Cues:
Diamond signals, histogram bars, and divergence markings make complex market patterns easier to interpret, reducing the cognitive load for traders.
4. Enhanced Divergence Analysis:
Built-in detection of regular and hidden divergences offers clarity and saves traders the effort of manually analyzing charts.
5. Bollinger Bands Integration:
Adding Bollinger Bands to RSI provides insights into volatility and momentum that go beyond what traditional Bollinger Bands or RSI can deliver individually.
6. Multi TimeFrame Table:
The Multi Time Frame table adds a new layer of analytical depth by consolidating RSI values and trends from multiple timeframes into a single tool. This helps traders identify consistent or diverging trends across timeframes, which is crucial for adjusting trading strategies to suit specific market conditions.
7. All-in-One Efficiency:
Instead of juggling multiple indicators, traders gain a streamlined tool that consolidates trend, momentum, and volatility analysis into a single, easy-to-read panel.
How It Works
1. RSI Calculation:
RSI is calculated using the standard formula to determine the relative strength of upward and downward price movements over a specified period.
2. Moving Averages:
Users choose from SMA, EMA, WMA, SMMA, or VWMA. The selected moving average is computed using RSI values, not price data, to better align with the indicator's momentum focus.
3. Histogram:
The histogram shows the difference between RSI and its moving average. Positive values indicate RSI is above its moving average, signaling increasing momentum; negative values indicate the opposite.
4. Divergence Detection:
Regular divergences are identified when price forms higher highs or lower lows, while RSI trends in the opposite direction.
Hidden divergences are marked when price forms higher lows or lower highs, but RSI trends differently.
Divergence is validated using both histogram and price trends for enhanced reliability.
5. Bollinger Bands for RSI:
The upper and lower bands are based on the RSI and a configurable standard deviation, highlighting moments of high volatility and overbought/oversold conditions.
6. Trend Analysis:
The indicator computes an average RSI value over last few candles to detect trend strength and direction, helping traders identify when trends are gaining or losing momentum.
7. Diamond Signals:
Signals are triggered when RSI crosses its moving average within overbought or oversold zones. These events are plotted as diamonds for quick visualization.
Please note that this indicator does not trigger any alerts or direct buy/sell signals.
8. Multi TimeFrame Table:
RSI values are calculated for six separate time frames chosen by the user (e.g., 1-minute, 5-minute, 1-hour).
The trend is determined by averaging the direction of the last three candles on each timeframe. Results are displayed as "rising," "falling," or "neutral" in the table.
The table serves as a quick-reference tool for analyzing trends and RSI values across multiple market perspectives.
Usage Examples
Tracking Trends: Use the histogram to monitor momentum: positive values indicate strengthening trends, while negative values suggest weakening trends.
Spotting Divergences: Look for regular divergences (R) to anticipate reversals and hidden divergences (H) to confirm trend continuation.
Utilizing Diamond Signals: When diamonds appear in overbought or oversold zones, they signal potential market reversals, allowing traders to act quickly.
Analyzing Volatility: Bollinger Bands on RSI highlight moments of high volatility, providing additional confirmation for potential trend changes.
Quick Assessment of RSI values: Use the Multi TimeFrame table to quickly assess RSI values and trends on different timeframes. Consistent trends (e.g., "rising" RSI on most timeframes) suggest market alignment, while diverging trends may indicate potential reversals or conflicting market signals. Use this insight to refine entries and exits.
Settings
RSI Length: Number of candles used for RSI calculation.
RSI Source: Data source for RSI calculation.
MA Type: Type of moving average (SMA, EMA, RMA, WMA, VWMA).
MA Length: Number of RSI values used for moving average calculation.
BB StdDev: Standard deviation length for Bollinger Bands calculation.
Disable / enable display of: Bullish, Bearish, Hidden Bullish and Hidden Bearish divergences.
Show table RSI & MA: display or hide Multi TimeFrame RSI table.
Table position / size: set MultiTimeFrame table position to suit your needs and keep it from obstructing other indicator views
Important Notes
This indicator is a technical analysis tool and does not guarantee trading success.
Use it in conjunction with other indicators and fundamental analysis for a more comprehensive trading strategy.
In strong trends, divergences may become less reliable as price action overrides momentum indicators.
Keltner Channel Width PercentileThe Keltner Channel Width Percentile (KCWP) is a volatility-focused indicator designed to measure the relative expansion and contraction of the Keltner Channel bands over time. By calculating the width of the Keltner Channels (difference between the upper and lower bands) and normalizing it as a percentage of the channel's basis, the KCWP provides a dynamic view of market conditions.
This indicator tracks how wide or narrow the Keltner Channel bands are relative to historical observations using a percentile-based approach. When the KCWP value is high (near 100%), it signals that the current channel width is at or near its historical maximum, often indicating heightened volatility or a potential reversal. Conversely, when the KCWP is low (near 0%), it suggests that the channel width is contracting, often preceding periods of reduced volatility or consolidation.
Key Features:
Percentile-Based Volatility Ranking: The KCWP assigns a percentile rank to the current Keltner Channel width, providing a clear, visual representation of where current volatility stands relative to the past.
Customizable Keltner Channels:
Length: Defines the period for the channel’s basis (middle line).
ATR Length: Adjusts the Average True Range (ATR) period used for band calculations.
Bands Style: Choose between Average True Range, True Range, or Range for calculating channel widths.
Dynamic Smoothing Options: Includes multiple moving average types (SMA, EMA, WMA, HMA, RMA, VWMA) and smoothing lengths for refining the raw percentile values, reducing noise while retaining responsiveness.
Visual Indicators:
Gradient coloring for the raw percentile line, transitioning from blue (low values) to green (mid-range) to red (high values), helps quickly assess market conditions.
A smoothed line for clarity and actionable signals.
Signal Zones:
80% High Line: Marks historically wide bands, signaling elevated volatility and potential exhaustion or trend continuation.
20% Low Line: Marks historically narrow bands, signaling calm conditions or consolidation, often before a breakout.
How to Use It:
Trend Continuation or Reversals: High KCWP values (above 80%) may indicate overextended volatility, hinting at possible trend exhaustion or continuation. This is often paired with price action for confirmation.
Breakout Readiness: Low KCWP values (below 20%) suggest tightening price ranges and reduced volatility, signaling potential breakout opportunities.
Complement to Keltner Channels: Use the KCWP alongside traditional Keltner Channels for a complete view of volatility and price behavior.
Customization for Your Trading Style:
The KCWP provides several user-adjustable inputs, including:
Percentile Lookback: Adjust how much historical data is used for ranking.
Smoothing Options: Customize the moving average type and length for the percentile line.
Channel and Band Calculations: Fine-tune the channel’s length, ATR length, and multiplier to match your preferred volatility sensitivity.
The Keltner Channel Width Percentile is a versatile and intuitive tool that helps traders monitor volatility dynamics, anticipate market transitions, and refine entry and exit strategies. Whether you're trading breakouts, trends, or consolidations, the KCWP provides actionable insights into the heartbeat of the market.
RSI MACD Combined Color StrategyOverview
This indicator combines RSI and MACD signals to create a powerful visual trading system, inspired by TrendSpider's AI Strategy Coder examples. It colors candles based on the alignment of three key technical conditions, providing clear visual signals for potential trend strength and direction.
Technical Components
Core Conditions
RSI (Relative Strength Index) > 50
Indicates bullish momentum when price is trading above the centerline
Traditional indicator of trend strength
MACD Line > Signal Line
Shows positive momentum
Classic signal for potential upward movement
MACD Line > 0
Confirms bullish territory
Indicates overall positive momentum
Color Coding System
🟢 Green Candles: All three conditions are met
Strongest bullish signal
Suggests high probability trading opportunities
⚪ Grey Candles: One or two conditions are met
Neutral or transitioning market
Suggests caution or waiting for stronger confirmation
🔴 Red Candles: No conditions are met
Bearish signal
Suggests potential downward pressure
How to Use This Indicator
For Entry Signals
Look for transitions from red or grey to green candles
Green candles suggest strong bullish alignment
Consider entering long positions when candles turn green
For Exit Signals
Watch for color transitions from green to grey or red
Consider taking profits when candles change from green to grey
Consider stop losses when candles turn red
Risk Management
Use color transitions as part of your broader strategy
Don't rely solely on color changes for trading decisions
Combine with other technical analysis tools and risk management practices
Customizable Parameters
RSI Length (default: 14)
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Best Practices
Use multiple timeframes for confirmation
Look for confluences with support/resistance levels
Consider volume and market context
Start with default settings and adjust based on your trading style
Backtest different parameter combinations
Notes
This indicator works best in trending markets
Grey candles can indicate transition periods
Consider market conditions and volatility when interpreting signals
Credits
Inspired by TrendSpider's AI Strategy Coder examples and adapted for TradingView using Pine Script v5.
Disclaimer
This technical indicator is for informational purposes only. Always conduct your own analysis and consider risk management principles before making trading decisions. Past performance does not guarantee future results.
PV's Dual RSI Crossover StrategyIntroduction to the Dual RSI Two-Cross Indicator
The Relative Strength Index (RSI) is a widely used technical indicator in finance that measures the magnitude of recent price changes to determine overbought or oversold conditions. The RSI Two-Cross indicator takes this concept a step further by introducing a unique twist: it plots two RSI lines with different lengths and generates alerts based on their crossovers.
Key Features:
Dual RSI Lines: The indicator plots two RSI lines with user-defined lengths, allowing traders to compare the short-term and long-term momentum of an asset.
Crossover Alerts: The indicator generates alerts when the shorter RSI line crosses above or below the longer RSI line, indicating potential trend reversals or continuations.
Customizable Parameters: Users can adjust the lengths of the RSI lines, oversold and overbought levels, and other parameters to suit their trading strategy and asset of choice.
Visual Aids: The indicator features colored bars and backgrounds to highlight crossover events, making it easy to identify trading opportunities at a glance.
Trading Applications:
Trend Reversal Detection: The RSI Two-Cross indicator can help traders identify potential trend reversals by monitoring crossovers between the two RSI lines.
Momentum Confirmation: The indicator can be used to confirm momentum shifts in an asset's price, helping traders to filter out false signals and make more informed trading decisions.
Scalping and Day Trading: The indicator's short-term focus makes it suitable for scalping and day trading strategies, where traders aim to capitalize on small price movements.
By combining the versatility of the RSI with the power of crossover analysis, the RSI Two-Cross indicator offers a unique perspective on market momentum and trend dynamics. Whether you're a seasoned trader or just starting out, this indicator can help you navigate the markets with greater confidence and precision.
Fusion Of Momentum Oscillator [A0A-Indicator]The "Fusion Of Momentum Oscillator " is an advanced trading tool, meticulously designed and developed by A0A, the original creator and innovator behind this unique script. Combining "Price" and "Interest" metrics, it provides traders with a sophisticated yet intuitive way to analyze market dynamics, offering unmatched clarity and actionable insights.
Key Features
Designed by A0A – Innovation at its Core
- This script reflects the visionary expertise of A0A, integrating proprietary methodologies to deliver an unparalleled trading experience.
Built to empower traders with a seamless blend of simplicity, functionality, and precision.
- Adaptable Timeframe Selection
Supports customizable timeframes to suit various trading strategies—whether you're a day trader, swing trader, or long-term investor.
Adjust the analysis to your preferred timeframe for deeper insights.
- Two Core Metrics for Market Analysis
Price: Tracks and visualizes price momentum with adjustable sensitivity and customizable periods, providing a clear view of trend strength.
Interest: Measures and highlights shifts in market activity, revealing potential areas of increased trading focus.
- Normalized Value Scale
Both metrics are normalized on a scale of -100 to 100, making them easy to interpret and directly comparable.
Offers a clear, standardized perspective on market trends and movements.
- Stunning Visual Representation
Dynamic Color Coding:
Positive and negative values for "Price" are color-coded for immediate trend recognition.
Smooth Transparency:
"Interest" is plotted as a semi-transparent area, drawing attention to key market activity changes.
Reference Levels
Horizontal markers at critical levels (-50, 0, 50) help traders easily identify zones of interest.
- Fully Customizable Aesthetics
Personalize color schemes for "Price" and "Interest" to match your visual preferences.
Create a clear and tailored visual experience that supports your trading workflow.
- Optimized for Speed and Accuracy
Built using efficient algorithms for fast, precise calculations without sacrificing performance.
Provides reliable results, even in fast-moving markets.
Why Choose the A0A Indicator?
Creator’s Legacy
Developed by A0A, this script incorporates expertise and innovation in trading technology.
Actionable Insights
Focuses on delivering signals that are clear, intuitive, and aligned with real-world market behavior.
Adaptability for All Traders
From beginners to professionals, this tool is flexible enough to meet the needs of any trader.
Perfect for Every Trading Style
Trend Followers
Stay on top of market momentum with clear visual cues.
Signal Seekers
Pinpoint potential reversal points and breakout zones with ease.
Strategic Investors
Make data-driven decisions with a focus on market behavior.
ROC-Weighted MA Oscillator [SeerQuant]ROC-Weighted MA Oscillator (ROCWMA)
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-based indicator which uniquely combines the Rate of Change (ROC) with customizable moving averages, offering a dynamic oscillator for trend analysis. Featuring z-score normalization and weighted MA integration, the ROCWMA delivers actionable trend signals with customizable thresholds.
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⚙️ How It Works
1️⃣ Rate of Change (ROC) Normalization
The indicator begins with a normalized ROC calculation over a customizable length, transforming raw momentum data into a dynamic range for enhanced analysis.
2️⃣ Weighted Moving Average (MA)
A custom moving average (MA) is calculated using selectable MA types such as TEMA, SMA, EMA, and more. The normalized ROC is then applied as a weight to derive the ROC-Weighted MA (RWMA), blending trend and momentum data.
3️⃣ Z-Score Oscillator
The RWMA is normalized using z-score calculations, resulting in a smoothed oscillator. This process highlights deviations from the mean, identifying overbought and oversold conditions dynamically.
4️⃣ Threshold Logic
Bullish (Uptrend): Oscillator exceeds the positive threshold.
Bearish (Downtrend): Oscillator drops below the negative threshold.
Neutral: Oscillator remains between thresholds.
5️⃣ Dynamic Visual Representation
A color-coded histogram reflects trend strength and direction.
Optional candle coloring visually emphasizes trends on the chart.
Gradient fills enhance clarity of threshold areas.
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✨ Customizable Settings
ROC Settings
Define the ROC length for momentum calculation.
MA Settings
Choose from multiple MA types (TEMA, EMA, SMA, etc.).
Customize the length and data source for MA calculations.
Adjust the signal length for smoothing.
Threshold Settings
Set neutral, bullish, and bearish thresholds to match your strategy.
Style Settings
Toggle candle coloring for visual trend enhancement.
Select from five unique color schemes to suit your chart style.
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🚀 Features and Benefits
Momentum-Weighted Analysis: Combines ROC with advanced moving averages for precise trend evaluation.
Dynamic Thresholds: Z-score-based logic adapts to market conditions.
Visual Clarity: Color-coded histograms, candles, and gradient fills make trend detection intuitive.
Highly Customizable: Flexible inputs and multiple MA types ensure adaptability to various trading styles.
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📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Users should consult a licensed financial advisor before making trading decisions. Use at your own risk.
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RSI Volatility Suppression Zones [BigBeluga]RSI Volatility Suppression Zones is an advanced indicator that identifies periods of suppressed RSI volatility and visualizes these suppression zones on the main chart. It also highlights breakout dynamics, giving traders actionable insights into potential market momentum.
🔵 Key Features:
Detection of Suppression Zones:
Identifies periods where RSI volatility is suppressed and marks these zones on the main price chart.
Breakout Visualization:
When the price breaks above the suppression zone, the box turns aqua, and an upward label is drawn to indicate a bullish breakout.
If the price breaks below the zone, the box turns purple, and a downward label is drawn for a bearish breakout.
Breakouts accompanied by a "+" label represent strong moves caused by short-lived, tight zones, signaling significant momentum.
Wave Labels for Consolidation:
If the suppression zone remains unbroken, a "wave" label is displayed within the gray box, signifying continued price stability within the range.
Gradient Intensity Below RSI:
A gradient strip below the RSI line increases in intensity based on the duration of the suppressed RSI volatility period.
This visual aid helps traders gauge how extended the low volatility phase is.
🔵 Usage:
Identify Breakouts: Use color-coded boxes and labels to detect breakouts and their direction, confirming potential trend continuation or reversals.
Evaluate Market Momentum: Leverage "+" labels for strong breakout signals caused by short suppression phases, indicating significant market moves.
Monitor Price Consolidation: Observe gray boxes and wave labels to understand ongoing consolidation phases.
Analyze RSI Behavior: Utilize the gradient strip to measure the longevity of suppressed volatility phases and anticipate breakout potential.
RSI Volatility Suppression Zones provides a powerful visual representation of RSI volatility suppression, breakout signals, and price consolidation, making it a must-have tool for traders seeking to anticipate market movements effectively.
Relative Risk MetricOVERVIEW
The Relative Risk Metric is designed to provide a relative measure of an asset's price, within a specified range, over a log scale.
PURPOSE
Relative Position Assessment: Visualizes where the current price stands within a user-defined range, adjusted for log scale.
Logarithmic Transformation: Utilizes the natural log to account for a log scale of prices, offering a more accurate representation of relative positions.
Calculation: The indicator calculates a normalized value via the function Relative Price = / log(UpperBound) − log(LowerBound) . The result is a value between 0 and 1, where 0 corresponds to the lower bound and 1 corresponds to the upper bound on a log scale.
VISUALIZATION
The indicator plots three series:
Risk Metric - a plot of the risk metric value that’s computed from an asset's relative price so that it lies within a logarithmic range between 0.0 & 1.0.
Smoothed Risk Metric - a plot of the risk metric that’s been smoothed.
Entry/Exit - a scatter plot for identified entry and exit. Values are expressed as percent and are coded as red being exit and green being entity. E.g., a red dot at 0.02 implies exit 2% of the held asset. A green dot at 0.01 implies use 1% of a designated capital reserve.
USAGE
Risk Metric
The risk metric transformation function has several parameters. These control aspects such as decay, sensitivity, bounds and time offset.
Decay - Acts as an exponent multiplier and controls how quickly dynamic bounds change as a function of the bar_index.
Time Offset - provides a centering effect of the exponential transformation relative to the current bar_index.
Sensitivity - controls how sensitive to time the dynamic bound adjustments should be.
Baseline control - Serves as an additive offset for dynamic bounds computation which ensures that bounds never become too small or negative.
UpperBound - provides headroom to accomodate growth an assets price from the baseline. For example, an upperbound of 3.5 accommodates a 3.5x growth from the baseline value (e.g., $100 -> $350).
LowerBound - provides log scale compression such that the overall metric provides meaningful insights for prices well below the average whilst avoiding extreme scaling. A lowerbound of 0.25 corresponds to a price that is approx one quarter of a normalised baseline in a log context.
Weighted Entry/Exit
This feature provides a weighted system for identifying DCA entry and exit. This weighting mechanism adjusts the metric's interpretation to highlight conditions based on dynamic thresholds and user-defined parameters to identify high-probability zones for entry/exit actions and provide risk-adjusted insights.
Weighting Parameters
The weighting function supports fine-tuning of the computed weighted entry/exit values
Base: determines the foundational multiplier for weighting the entry/exit value. A higher base amplifies the weighting effect, making the weighted values more pronounced. It acts as a scaling factor to control the overall magnitude of the weighting.
Exponent: adjusts the curve of the weighting function. Higher exponent values increase sensitivity, emphasizing differences between risk metric values near the entry or exit thresholds. This creates a steeper gradient for the computed entry/exit value making it more responsive to subtle shifts in risk levels.
Cut Off: specifies the maximum percentage (expressed as a fraction of 1.0) that the weighted entry/exit value can reach. This cap ensures the metric remains within a meaningful range and avoids skewing
Exit condition: Defines a threshold for exit. When the risk metric is below the exit threshold (but above the entry threshold) then entry/exit is neutral.
Entry condition: Defines a threshold for entry. When the risk metric is above the entry threshold (but below the exit threshold) then entry/exit is neutral.
Weighting Behaviour
For entry conditions - value is more heavily weighted as the metric approaches the entry threshold, emphasizing lower risk levels.
For exit conditions - value is more heavily weighted as the metric nears the exit threshold, emphasizing increased risk levels.
USE-CASES
Identifying potential overbought or oversold conditions within the specified logarithmic range.
Assisting in assessing how the current price compares to historical price levels on a logarithmic scale.
Guiding decision-making processes by providing insights into the relative positioning of prices within a log context
CONSIDERATIONS
Validation: It's recommended that backtesting over historical data be done before acting on any identified entry/exit values.
User Discretion: This indicator focus on price risk. Consider other risk factors and general market conditions as well.
Dual EMA Proportion Variance | JeffreyTimmermansDual EMA Proportion Variance
The "Dual EMA Proportion Variance" Indicator provides a robust way to analyze price trends, volatility, and momentum using dual EMA calculations combined with percentile-based thresholds. This approach enables traders to identify significant bullish and bearish trends while incorporating smoothing and tailoring options for better adaptability.
Key Features
Dual EMA with Proportion Variance
DEMA Calculation: Computes the Dual Exponential Moving Average (DEMA) based on a user-defined length and source.
Proportion Thresholds: Uses percentile-based thresholds (e.g., 60/45, 60/40, 55/45, or 55/40) to determine upper and lower bounds for trend detection. Percentile thresholds help identify key levels of market behavior based on historical data.
Momentum and Volatility Analysis
Momentum Calculation: Computes momentum based on proximity to percentile levels, smoothed using a simple moving average (SMA) if enabled.
Volatility Incorporation: Uses the standard deviation (SD) of the lower percentile (PerDown) to define additional levels of significance.
Smoothing and Trend Calculation
Smoothing Options: Enables optional smoothing for momentum and trend values, helping reduce noise.
EMA Confluence: Adds an additional EMA overlay to enhance the trend confirmation process.
Customizable Visuals
Background Coloring: Dynamically changes the background color based on trend direction (bullish or bearish).
Momentum Plotting: Displays smoothed momentum and EMA confluence lines on the chart, with clear visual differentiation.
Alerts
Bullish Signal: Triggers when the trend transitions from neutral or bearish to bullish.
Bearish Signal: Triggers when the trend transitions from neutral or bullish to bearish.
Inputs Overview
DEMA Inputs
Length (DemaLen): Defines the length of the Dual EMA calculation.
Source (DemaSrc): Allows selection of price data (e.g., high, low, close) for the DEMA computation.
Proportion Settings
Proportion Length (PerLen): Defines the lookback period for percentile calculations.
Proportion Type (pertype): Choose from predefined combinations (e.g., 60/45, 60/40) to customize thresholds.
Smoothing Options
Enable Smoothing (UseSmoothing): Toggle to enable or disable smoothing.
Smoothing Length (SmoothingLen): Specifies the lookback period for smoothing.
Standard Deviation
Length (SDlen): Length of the lookback period used to calculate the standard deviation.
Tailoring
Bullish/Bearish Colors (ColUp/ColDown): Customizable colors for bullish and bearish trends.
Background Colors (ShowBGCol): Toggle to enable or disable background coloring.
Momentum Plot (PlotMomentum): Toggle to show or hide the momentum plot.
EMA Confluence
Enable Extra EMA (IncludeEma): Adds an additional EMA layer for trend confirmation.
Length (EmaLen): Defines the length of the EMA.
Indicator Behavior
Trend Detection
Bullish Trend: When the smoothed momentum (smoothedPT) is above zero and higher than the EMA (if enabled).
Bearish Trend: When the smoothed momentum is below zero and lower than the EMA (if enabled).
Signal Generation
Bullish Signal: Triggered on a crossover of smoothedTrend from negative to positive.
Bearish Signal: Triggered on a crossunder of smoothedTrend from positive to negative.
Customizations
Percentile Adjustments: Choose from various proportion thresholds to suit specific market conditions.
Smoothing Options: Fine-tune the level of noise reduction by adjusting smoothing parameters.
Visual Tailoring: Customize chart visuals, including colors, momentum plots, and background highlights.
EMA Inclusion: Optionally enable the extra EMA for more conservative trend confirmation.
Use Cases
Momentum Trading: Identify bullish or bearish momentum shifts based on percentile levels.
Volatility Assessment: Incorporate standard deviation levels to evaluate price volatility.
Trend Following: Align trades with dominant market trends using percentile thresholds and EMA confirmation.
Alerts for Automation: Set alerts for real-time notifications of potential trade opportunities.
This indicator provides flexibility and precision, making it suitable for a variety of trading styles, including trend following, swing trading, and momentum-based strategies.
This script is inspired by "Patito_1" . However, it is more advanced and includes additional features and options.
-Jeffrey
MCDX_SignalThe MCDX indicator (Market Cycle Dynamic Index) is a technical indicator developed by Trung Pham. It is a tool used for analyzing the stock market, often utilized to identify big money flow (Big Money) and evaluate the strength of individual stocks or the overall market.
MCDX is known for its distinctive histogram chart with red and green bars. The red bars typically represent the inflow of big money, while the green bars indicate small money flow or outflows.
Briss Thorn XtremeStrategy Description: Briss Thorn Xtreme
The Briss Thorn Xtreme is an innovative trading strategy designed to identify and capitalize on opportunities in the forex market through advanced technical analysis and dynamic risk management. This strategy combines calculations based on RSI and ATR with time and day filters, providing customized signals and real-time alerts via Discord. Ideal for traders seeking a structured and highly customizable methodology, Briss Thorn Xtreme integrates enhanced visual tools for efficient trade management.
Key Features:
RSI and ATR-Based Signals: Utilizes smoothed RSI and ATR calculations to identify trends and measure volatility, allowing for more precise detection of buy and sell opportunities.
Dynamic Stop-Loss (SL) and Take-Profit (TP) Levels: Automatically calculates SL and TP levels based on market volatility, dynamically adjusting to optimize risk management.
Advanced Discord Integration: Sends detailed alerts to your Discord channel, including information such as the asset, signal time, entry price, and SL/TP levels, facilitating real-time decision-making.
Complete Customization: Allows users to adjust key parameters such as RSI periods, smoothing factors, liquidity thresholds, trading schedules, and operation days, adapting to different trading styles and market conditions.
Enhanced Chart Visualization: Includes visual elements like candle color changes based on trend, colored boxes for SL and TP, and a summary table of recent trades, enabling quick market interpretation.
Day and Time Operation Filters: Enables selection of specific days of the week and time slots during which signals are generated, optimizing market exposure and avoiding periods of low liquidity or unwanted high volatility.
Trade Summary: Displays a summary of the last three trades directly on the chart, indicating whether TP or SL was reached, aiding in strategy performance evaluation.
Customizable Alert Messages: Allows customization of messages sent to Discord for buy and sell signals, tailoring them to your specific preferences and requirements.
Additional Visual Tools: Highlights the operational range on the chart during permitted trading hours and colors candles based on the current trend (bullish, bearish, or neutral), enhancing visibility and decision-making.
How the Strategy Works:
Technical Indicators Calculation:
- RSI (Relative Strength Index) : Calculates RSI with a defined period and smooths it using an Exponential Moving Average (EMA) to obtain a more stable and reliable signal.
- ATR (Average True Range) : Calculates ATR adjusted by a rapid liquidity factor to measure the current market volatility, thereby determining the strength of the trend.
Generating Buy and Sell Signals:
- Buy Signal: A buy signal is generated when the liquidity index surpasses the short liquidity level, indicating potential accumulation and an upward trend.
- Sell Signal: A sell signal is generated when the liquidity index falls below the long liquidity level, indicating potential distribution and a downward trend.
- Operation Conditions: Signals are only generated on selected days and times, avoiding periods of low liquidity or unwanted high volatility.
Dynamic SL and TP Levels Calculation:
- Stop-Loss (SL) and Take-Profit (TP): SL and TP levels are calculated based on the entry price and a defined number of ticks, automatically adjusting to market volatility to optimize risk management.
- SL and TP Visualization: Colored boxes are drawn on the chart for a clear visual reference of SL and TP levels, facilitating trade management.
Automatic Execution and Alerts:
- Order Execution: Upon signal generation, the strategy automatically executes a market order (buy or sell).
- Discord Alerts: Detailed alerts are sent to the configured Discord channel, providing essential information for swift decision-making, including asset, signal time, entry price, current volatility (ATR), and trend direction.
Trade Management and Monitoring:
- Trade Summary: A table on the chart displays a summary of the last three trades (Today, Yesterday, Day Before Yesterday), indicating whether TP or SL was reached, allowing real-time performance evaluation.
- Automatic Trade Closure: The strategy automatically closes trades upon reaching the established SL or TP levels, ensuring efficient risk management and preventing excessive losses.
Additional Visualization:
- Candle Coloring by Trend: Candles are colored based on the current trend (bullish, bearish, or neutral), facilitating quick identification of market direction.
- Operational Range Highlighting: The chart background is colored during permitted trading hours, highlighting active periods of the strategy and enhancing trade visibility.
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Strategy Properties (Important)
This backtest is conducted on M17 EURUSD using the following backtesting properties:
Initial Capital: $1000
Order Size: 1% of capital
Commission: $0.20 per order
Slippage: 1 tick
Pyramiding: 1 order
Price Verification for Limit Orders: 0 ticks
Recalculate on Order Execution: Enabled
Recalculate on Every Tick: Enabled
Recalculate After Order Execution: Enabled
Bar Magnifier for Backtesting Precision: Enabled
These properties ensure a realistic preview of the backtesting system. Note that default properties may vary for different reasons:
Order Size: It is essential to calculate the contract size according to the traded asset and desired risk level.
Commission and Slippage: These costs may vary depending on the market and instrument; there is no default value that guarantees realistic results.
All users are strongly recommended to adjust the properties within the script settings to align them with their trading accounts and platforms, ensuring that strategy results are realistic.
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Backtesting Results:
- Net Profit: $327.90 (32.79%)
- Total Closed Trades: 162
- Profit Percentage: 35.80%
- Profit Factor: 1.298
- Maximum Drawdown: $146.70 (10.27%)
- Average per Trade: $2.02 (0.02%)
- Average Bars per Trade: 22
These results were obtained under the mentioned conditions and properties, providing an overview of the strategy's historical performance.
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Interpretation of Results:
- The strategy has demonstrated profitability over the analyzed period, albeit with a success rate of 32.79%, indicating that success depends on a favorable risk-reward ratio.
- The profit factor of 1.298 suggests that total gains exceed total losses by this proportion.
- It is crucial to consider the maximum drawdown of 10.27% when evaluating the strategy's suitability to your risk tolerance.
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Risk Warning:
Trading with leveraged financial instruments involves a high level of risk and may not be suitable for all investors. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk tolerance. Past performance does not guarantee future results. It is essential to perform additional testing and adjust the strategy according to your needs.
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What Makes This Strategy Original?
Unique RSI and Liquidity Focus: Unlike conventional strategies, Briss Thorn Xtreme focuses on combining RSI analysis with liquidity parameters to reflect institutional activity and macroeconomic events that may influence the market.
Advanced Technological Integration: The combination of automatic execution and customized alerts via Discord provides an efficient and modern tool for active traders.
Customization and Adaptability: The wide range of adjustable parameters allows the strategy to adapt to different assets, time zones, and trading styles, offering flexibility and complete user control.
Enhanced Visual Tools: Integrated visual elements, such as candle coloring, SL/TP boxes, and summary tables, facilitate quick market interpretation and informed decision-making.
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Additional Considerations
Continuous Testing and Optimization: Users are advised to perform additional backtests and optimize parameters based on their own observations and requirements.
Complementary Analysis: Use this strategy in conjunction with other indicators and fundamental analysis tools to reinforce decision-making and confirm generated signals.
Rigorous Risk Management: Ensure that SL and TP levels, as well as position sizes, are aligned with your risk management plan to avoid excessive losses.
Updates and Support: I am committed to providing updates and improvements based on community feedback. For inquiries or suggestions, feel free to contact me.
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Example Configuration
Assuming you want to use the strategy with the following parameters:
Discord Webhook: Your unique Discord Webhook
RSI Period: 6
RSI Smoothing Factor: 5
Rapid Liquidity Factor: 5
Liquidity Threshold: 5
SL Ticks: 100
TP Ticks: 250
SL/TP Box Width: 25 bars
Trading Days: Monday, Tuesday, Wednesday, Thursday, Friday
Trading Hours: Start at 8:00, End at 11:00
Simulated Initial Capital: $1000
Risk per Trade in Simulation: 1% of capital
Slippage and Commissions in Simulation: 1 tick slippage and $0.20 commission per trade
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Conclusion
The Briss Thorn Xtreme strategy offers an innovative approach by combining advanced technical analysis with dynamic risk management and modern technological tools. Its original and adaptable design makes it a valuable tool for traders looking to diversify their methods and capitalize on opportunities based on less conventional patterns. Ready for immediate implementation in TradingView, this strategy can enhance your trading arsenal and contribute to a more informed and structured approach in your operations.
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Final Disclaimer:
Financial markets are volatile and can present significant risks. This strategy should be used as part of a comprehensive trading approach and does not guarantee positive results. It is always advisable to consult with a professional financial advisor before making investment decisions.
[blackcat] L1 Small Wave Operation L1 Small Wave Operation
Overview
Are you looking to catch those elusive small waves in the market? Look no further than " L1 Small Wave Operation." This script offers a unique way to identify potential buying opportunities by analyzing price movements, volume changes, and trend directions. With customizable inputs and clear visual indicators, it’s designed to help traders spot favorable entry points with precision.
Features
Dynamic Signal Identification: Automatically detects two types of buy signals labeled "S" and "B."
Adaptable Parameters: Allows users to adjust low period, high period, EMA periods, SMA period, and various threshold values to fine-tune the strategy.
Visual Clarity: Plots K and D lines along with four distinct threshold levels for easy visualization.
Condition-Based Signals: Uses multiple conditions including volume increases, price actions, and crossover events to confirm signals.
How It Works
Calculate Percent Range: Determines where the current closing price lies within the recent low and high range.
Compute Moving Averages: Calculates Exponential Moving Average (EMA) and Simple Moving Average (SMA) of the percent range.
Define Conditions: Checks for bullish or strong bullish patterns, uptrends, and specific crossover events between K and D lines.
Generate Signals: Marks potential buying opportunities when predetermined conditions are met.
How To Use
Add this script to your TradingView chart.
Adjust the input parameters according to your preferred settings.
Monitor the plotted lines and look for "S" and "B" labels indicating buy signals.
Consider incorporating these signals into a broader trading strategy that includes risk management techniques.
What Makes It Special
Flexibility: Users can easily modify parameters to adapt the script to different markets or personal preferences.
Automation: Saves time by automatically scanning for trade setups based on predefined rules.
Comprehensive Analysis: Combines multiple factors like volume, price action, and moving averages to provide reliable signals.
Limitations
Past performance does not guarantee future results.
Market conditions can vary, affecting signal reliability.
Not suitable for very short-term trades without additional refinements.
Notes
Always perform backtesting on historical data before implementing live trades.
Understand the underlying logic of the script to avoid misinterpretation of signals.
Regularly review and adjust parameters based on changing market dynamics.
Price & Stochastics DivergenceOverview
This indicator is designed to help traders quickly identify both regular and hidden divergences between price and the Stochastic (K) line. It automatically locates potential turning points (pivots) on the chart, compares them to pivots on the Stochastic oscillator, and then flags divergences that could signal a shift or continuation in market momentum.
How It Works:
Pivot Detection
The script identifies swing highs and lows on both the chart’s closing prices and the Stochastic oscillator using a user-defined “lookback” period. This allows for flexible sensitivity to price swings.
Divergence Conditions:
Regular Bullish Divergence: Price makes a lower low, while Stochastic makes a higher low.
Regular Bearish Divergence: Price makes a higher high, while Stochastic makes a lower high.
Hidden Bullish Divergence: Price makes a higher low, while Stochastic makes a lower low.
Hidden Bearish Divergence: Price makes a lower high, while Stochastic makes a higher high.
Extended Horizontal Lines
Bullish Divergence: A green horizontal line is drawn at the lowest price among the current bar and the previous 3 bars.
Bearish Divergence: A red horizontal line is drawn at the highest price among the current bar and the previous 3 bars.
Labeling & Visualization
For each identified divergence, the script places a label indicating whether it’s “Bullish Div,” “H. Bullish Div,” “Bearish Div,” or “H. Bearish Div.” This makes it easy to see exactly where divergences occur.
How to Use
Add the Indicator: Simply attach it to any chart. It will automatically detect and highlight divergences.
Interpretation: A bullish divergence may suggest potential upward price pressure, while a bearish divergence may hint at downward pressure. Hidden divergences often signal continuation of the prevailing trend.
Combine with Other Analysis: Divergences are not foolproof. It’s often wise to use them alongside other technical tools, such as support/resistance, volume analysis, or trend filters.
Notes & Disclaimer
Delay: The built-in pivot functions confirm pivot highs/lows after several bars, so divergences appear once those pivots are finalized. This is normal and helps avoid repainting signals prematurely.
Educational Use Only: This script is intended to provide visual guidance for divergence analysis. It does not constitute financial or investment advice. Always conduct thorough research and consider multiple factors before making any trading decisions.
No Guarantee: As with any technical tool, there is no guarantee of accuracy or future results. Divergence signals can fail in fast-moving or choppy markets.
Use this indicator as part of a broader strategy to better understand potential momentum shifts or continuations. Always practice responsible risk management. Enjoy and trade safe
RSI Toolkitᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ɪɴᴅɪᴄᴀᴛᴏʀ ɪꜱ ᴀ ᴛʀᴀᴅɪɴɢ ᴛᴏᴏʟ ᴅᴇꜱɪɢɴᴇᴅ ᴛᴏ ᴩʀᴏᴠɪᴅᴇ ᴛʀᴀᴅᴇʀꜱ ᴡɪᴛʜ ᴅʏɴᴀᴍɪᴄ ɪɴꜱɪɢʜᴛꜱ ɪɴᴛᴏ ᴍᴀʀᴋᴇᴛ ᴄᴏɴᴅɪᴛɪᴏɴꜱ ᴜꜱɪɴɢ ᴛʜᴇ ʀᴇʟᴀᴛɪᴠᴇ ꜱᴛʀᴇɴɢᴛʜ ɪɴᴅᴇx (ʀꜱɪ) . ᴛʜᴇ ɪɴᴅɪᴄᴀᴛᴏʀ ɪɴᴛᴇɢʀᴀᴛᴇꜱ ᴍᴜʟᴛɪᴩʟᴇ ꜰᴇᴀᴛᴜʀᴇꜱ ᴀɴᴅ ᴇɴʜᴀɴᴄᴇᴍᴇɴᴛꜱ, ꜱᴜᴄʜ ᴀꜱ ᴍᴜʟᴛɪ-ᴛɪᴍᴇꜰʀᴀᴍᴇ ᴀɴᴀʟʏꜱɪꜱ, ᴀᴅᴠᴀɴᴄᴇᴅ ᴠɪꜱᴜᴀʟ ꜱᴛʏʟɪɴɢ ᴏᴩᴛɪᴏɴꜱ, ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩꜱ, ᴀɴᴅ ꜰᴏᴜʀ ᴅɪꜰꜰᴇʀᴇɴᴛ ꜱɪɢɴᴀʟ ɢᴇɴᴇʀᴀᴛɪᴏɴ ᴍᴏᴅᴇꜱ. ᴛʜɪꜱ ᴍᴀᴋᴇꜱ ɪᴛ ᴀɴ ɪᴅᴇᴀʟ ᴛᴏᴏʟ ꜰᴏʀ ᴛʀᴀᴅᴇʀꜱ ʟᴏᴏᴋɪɴɢ ᴛᴏ ɪᴅᴇɴᴛɪꜰʏ ᴏᴠᴇʀʙᴏᴜɢʜᴛ/ᴏᴠᴇʀꜱᴏʟᴅ ᴄᴏɴᴅɪᴛɪᴏɴꜱ, ʀᴇᴠᴇʀꜱᴀʟꜱ, ᴛʀᴇɴᴅ ᴄᴏɴᴛɪɴᴜᴀᴛɪᴏɴꜱ, ᴀɴᴅ ᴍᴏᴍᴇɴᴛᴜᴍ-ᴅʀɪᴠᴇɴ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ.
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ᴋᴇʏ ꜰᴇᴀᴛᴜʀᴇꜱ
1. ᴍᴜʟᴛɪ-ᴛɪᴍᴇꜰʀᴀᴍᴇ ʀꜱɪ
ᴛʜᴇ ʀꜱɪ ɪꜱ ᴄᴀʟᴄᴜʟᴀᴛᴇᴅ ʙᴀꜱᴇᴅ ᴏɴ ᴀ ᴜꜱᴇʀ-ᴅᴇꜰɪɴᴇᴅ ᴛɪᴍᴇꜰʀᴀᴍᴇ, ᴀʟʟᴏᴡɪɴɢ ꜰᴏʀ ᴄʀᴏꜱꜱ-ᴛɪᴍᴇꜰʀᴀᴍᴇ ᴀɴᴀʟʏꜱɪꜱ. ᴛʜɪꜱ ᴇɴꜱᴜʀᴇꜱ ᴛʜᴇ ɪɴᴅɪᴄᴀᴛᴏʀ ᴀʟɪɢɴꜱ ᴡɪᴛʜ ᴛʜᴇ ᴜꜱᴇʀ'ꜱ ᴛʀᴀᴅɪɴɢ ꜱᴛʀᴀᴛᴇɢʏ, ᴡʜᴇᴛʜᴇʀ ɪɴᴛʀᴀᴅᴀʏ ᴏʀ ʟᴏɴɢ-ᴛᴇʀᴍ.
2. ᴅʏɴᴀᴍɪᴄ ᴠɪꜱᴜᴀʟɪᴢᴀᴛɪᴏɴ ᴏᴩᴛɪᴏɴꜱ
ᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ᴏꜰꜰᴇʀꜱ ᴀᴅᴠᴀɴᴄᴇᴅ ɢʀᴀᴅɪᴇɴᴛ-ʙᴀꜱᴇᴅ ʀꜱɪ ᴠɪꜱᴜᴀʟɪᴢᴀᴛɪᴏɴ ᴏᴩᴛɪᴏɴ ᴛᴏ ʜᴇʟᴩ ᴛʀᴀᴅᴇʀꜱ ꞯᴜɪᴄᴋʟʏ ᴀꜱꜱᴇꜱꜱ ᴍᴀʀᴋᴇᴛ ꜱᴇɴᴛɪᴍᴇɴᴛ:
ɴᴏɴᴇ : ʙᴀʀꜱ ᴀʀᴇ ɴᴏᴛ ᴄᴏʟᴏʀᴇᴅ.
ɢʀᴀᴅɪᴇɴᴛ : ʙᴀʀꜱ ᴀʀᴇ ᴄᴏʟᴏʀᴇᴅ ᴅʏɴᴀᴍɪᴄᴀʟʟʏ ʙᴀꜱᴇᴅ ᴏɴ ᴛʜᴇ ʀꜱɪ'ꜱ ᴩᴏꜱɪᴛɪᴏɴ ᴡɪᴛʜɪɴ ɪᴛꜱ ʀᴀɴɢᴇ.
3. ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ
ᴀ ʙᴜɪʟᴛ-ɪɴ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ꜰᴇᴀᴛᴜʀᴇ ᴅʏɴᴀᴍɪᴄᴀʟʟʏ ᴀᴅᴊᴜꜱᴛꜱ ꜱᴛᴏᴩ-ʟᴏꜱꜱ ʟᴇᴠᴇʟꜱ ʙᴀꜱᴇᴅ ᴏɴ ᴩʀɪᴄᴇ ᴍᴏᴠᴇᴍᴇɴᴛꜱ. ᴛʜɪꜱ ʜᴇʟᴩꜱ ᴩʀᴏᴛᴇᴄᴛ ᴩʀᴏꜰɪᴛꜱ ᴀɴᴅ ʀᴇᴅᴜᴄᴇ ʀɪꜱᴋ ꜰᴏʀ ᴀᴄᴛɪᴠᴇ ᴩᴏꜱɪᴛɪᴏɴꜱ.
4. ꜱɪɢɴᴀʟ ᴍᴏᴅᴇꜱ
ᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ᴏꜰꜰᴇʀꜱ ꜰᴏᴜʀ ᴅɪꜱᴛɪɴᴄᴛ ꜱɪɢɴᴀʟ-ɢᴇɴᴇʀᴀᴛɪᴏɴ ᴍᴏᴅᴇꜱ ᴛᴏ ᴄᴀᴛᴇʀ ᴛᴏ ᴅɪꜰꜰᴇʀᴇɴᴛ ᴛʀᴀᴅɪɴɢ ꜱᴛʏʟᴇꜱ:
ʀᴇᴠᴇʀꜱᴀʟ : ɪᴅᴇɴᴛɪꜰɪᴇꜱ ᴋᴇʏ ʀᴇᴠᴇʀꜱᴀʟ ᴩᴏɪɴᴛꜱ ʙʏ ᴛʀᴀᴄᴋɪɴɢ ᴏᴠᴇʀʙᴏᴜɢʜᴛ/ᴏᴠᴇʀꜱᴏʟᴅ ᴄᴏɴᴅɪᴛɪᴏɴꜱ ᴀɴᴅ ᴩʟᴏᴛᴛɪɴɢ ꜱɪɢɴᴀʟꜱ ᴡʜᴇɴ ʀꜱɪ ᴛʀᴇɴᴅꜱ ʀᴇᴠᴇʀꜱᴇ.
ʜᴀʟꜰ-ʟɪꜰᴇ : ᴄᴀᴩᴛᴜʀᴇꜱ ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴏʀ ᴏᴠᴇʀꜱᴏʟᴅ ꜱᴛʀᴇᴀᴋꜱ (ᴇ.ɢ., ʟᴏɴɢ ʀꜱɪ ꜱᴛʀᴇᴀᴋꜱ) ᴀɴᴅ ɢᴇɴᴇʀᴀᴛᴇꜱ ᴍɪᴅ-ᴩᴏɪɴᴛ ᴛʀᴀᴅɪɴɢ ꜱɪɢɴᴀʟꜱ ʙᴀꜱᴇᴅ ᴏɴ ᴩʀɪᴄᴇ ᴄᴏɴꜱᴏʟɪᴅᴀᴛɪᴏɴꜱ.
ʙᴏᴜɴᴄᴇ : ɪᴅᴇɴᴛɪꜰɪᴇꜱ ʙᴏᴜɴᴄᴇ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ ᴀꜰᴛᴇʀ ꜱᴜꜱᴛᴀɪɴᴇᴅ ʀꜱɪ ʟᴇᴠᴇʟꜱ (ᴇ.ɢ., ᴩʀɪᴄᴇ ʀᴇᴊᴇᴄᴛɪᴏɴꜱ ᴏʀ ɪɴᴠᴀʟɪᴅ ʙʀᴇᴀᴋᴏᴜᴛꜱ ᴀʀᴏᴜɴᴅ ᴏᴠᴇʀꜱᴏʟᴅ/ᴏᴠᴇʀʙᴏᴜɢʜᴛ ʟᴇᴠᴇʟꜱ).
ꜰᴏᴍᴏ : ᴅᴇᴛᴇᴄᴛꜱ ᴩʀᴏʟᴏɴɢᴇᴅ ᴏᴠᴇʀʙᴏᴜɢʜᴛ/ᴏᴠᴇʀꜱᴏʟᴅ ʀꜱɪ ʟᴇᴠᴇʟꜱ ᴀɴᴅ ʜɪɢʜʟɪɢʜᴛꜱ ʙʀᴇᴀᴋᴏᴜᴛ ᴛʀᴀᴅɪɴɢ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ ᴅʀɪᴠᴇɴ ʙʏ ᴍᴏᴍᴇɴᴛᴜᴍ.
5. ᴀʟᴇʀᴛꜱ
ɪɴᴛᴇɢʀᴀᴛᴇᴅ ᴛʀᴀᴅɪɴɢᴠɪᴇᴡ ᴀʟᴇʀᴛꜱ ꜰᴏʀ ᴀʟʟ ꜱɪɢɴᴀʟ ᴛʏᴩᴇꜱ (ʀᴇᴠᴇʀꜱᴀʟ, ʜᴀʟꜰ-ʟɪꜰᴇ, ʙᴏᴜɴᴄᴇ, ꜰᴏᴍᴏ) ᴇɴꜱᴜʀᴇ ᴛʜᴀᴛ ᴜꜱᴇʀꜱ ɴᴇᴠᴇʀ ᴍɪꜱꜱ ᴀ ᴛʀᴀᴅɪɴɢ ᴏᴩᴩᴏʀᴛᴜɴɪᴛʏ. ᴀᴅᴅɪᴛɪᴏɴᴀʟ ᴀʟᴇʀᴛꜱ ᴀʀᴇ ᴀᴠᴀɪʟᴀʙʟᴇ ꜰᴏʀ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ʟᴏꜱꜱᴇꜱ .
6. ʜɪɢʜʟʏ ᴄᴏɴꜰɪɢᴜʀᴀʙʟᴇ
ʀꜱɪ ᴩᴀʀᴀᴍᴇᴛᴇʀꜱ ꜱᴜᴄʜ ᴀꜱ ᴩᴇʀɪᴏᴅ , ᴏᴠᴇʀʙᴏᴜɢʜᴛ/ᴏᴠᴇʀꜱᴏʟᴅ ᴛʜʀᴇꜱʜᴏʟᴅꜱ , ᴀɴᴅ ᴛɪᴍᴇꜰʀᴀᴍᴇꜱ ᴄᴀɴ ʙᴇ ᴄᴜꜱᴛᴏᴍɪᴢᴇᴅ.
ꜱɪɢɴᴀʟ ʙᴇʜᴀᴠɪᴏʀ ᴀɴᴅ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ꜱᴇɴꜱɪᴛɪᴠɪᴛʏ ᴀʀᴇ ꜰᴜʟʟʏ ᴀᴅᴊᴜꜱᴛᴀʙʟᴇ, ᴀʟʟᴏᴡɪɴɢ ᴛʀᴀᴅᴇʀꜱ ᴛᴏ ᴛᴀɪʟᴏʀ ᴛʜᴇ ɪɴᴅɪᴄᴀᴛᴏʀ ᴛᴏ ᴛʜᴇɪʀ ꜱᴩᴇᴄɪꜰɪᴄ ᴛʀᴀᴅɪɴɢ ꜱᴛʏʟᴇ.
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ɪɴᴩᴜᴛꜱ & ᴩᴀʀᴀᴍᴇᴛᴇʀꜱ
1. ɢᴇɴᴇʀᴀʟ ꜱᴇᴛᴛɪɴɢꜱ
ᴛɪᴍᴇ ꜰʀᴀᴍᴇ : ꜱᴇʟᴇᴄᴛ ᴀ ᴄᴜꜱᴛᴏᴍ ᴛɪᴍᴇꜰʀᴀᴍᴇ ᴛᴏ ᴄᴀʟᴄᴜʟᴀᴛᴇ ʀꜱɪ, ᴡʜɪᴄʜ ᴄᴀɴ ᴅɪꜰꜰᴇʀ ꜰʀᴏᴍ ᴛʜᴇ ᴄʜᴀʀᴛ’ꜱ ᴍᴀɪɴ ᴛɪᴍᴇꜰʀᴀᴍᴇ.
ᴄᴏʟᴏʀ ᴏᴩᴛɪᴏɴ : ᴄʜᴏᴏꜱᴇ ʜᴏᴡ ʙᴀʀꜱ ᴀʀᴇ ᴠɪꜱᴜᴀʟʟʏ ꜱᴛʏʟᴇᴅ:
- `ɴᴏɴᴇ`: ɴᴏ ꜱᴩᴇᴄɪᴀʟ ᴄᴏʟᴏʀɪɴɢ.
- `ɢʀᴀᴅɪᴇɴᴛ`: ʀꜱɪ-ʙᴀꜱᴇᴅ ɢʀᴀᴅɪᴇɴᴛ ᴄᴏʟᴏʀɪɴɢ ꜰᴏʀ ᴛʀᴇɴᴅ ꜱᴛʀᴇɴɢᴛʜ ᴠɪꜱᴜᴀʟɪᴢᴀᴛɪᴏɴ.
2. ʀꜱɪ ꜱᴇᴛᴛɪɴɢꜱ
ᴩᴇʀɪᴏᴅ : ᴅᴇꜰᴀᴜʟᴛ ʀꜱɪ ᴄᴀʟᴄᴜʟᴀᴛɪᴏɴ ᴩᴇʀɪᴏᴅ (14 ʙʏ ᴅᴇꜰᴀᴜʟᴛ).
ᴏᴠᴇʀʙᴏᴜɢʜᴛ ʟᴇᴠᴇʟ : ʀꜱɪ ᴛʜʀᴇꜱʜᴏʟᴅ ꜰᴏʀ ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴄᴏɴᴅɪᴛɪᴏɴꜱ (ᴅᴇꜰᴀᴜʟᴛ: 70).
ᴏᴠᴇʀꜱᴏʟᴅ ʟᴇᴠᴇʟ : ʀꜱɪ ᴛʜʀᴇꜱʜᴏʟᴅ ꜰᴏʀ ᴏᴠᴇʀꜱᴏʟᴅ ᴄᴏɴᴅɪᴛɪᴏɴꜱ (ᴅᴇꜰᴀᴜʟᴛ: 30).
3. ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ꜱᴇᴛᴛɪɴɢꜱ
ᴇɴᴀʙʟᴇ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ : ᴛᴏɢɢʟᴇꜱ ᴛʜᴇ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ꜰᴇᴀᴛᴜʀᴇ.
ᴩᴇʀᴄᴇɴᴛ : ᴅᴇꜰɪɴᴇꜱ ᴛʜᴇ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ᴅɪꜱᴛᴀɴᴄᴇ ᴀꜱ ᴀ ᴩᴇʀᴄᴇɴᴛᴀɢᴇ ᴏꜰ ᴛʜᴇ ᴩʀɪᴄᴇ.
4. ꜱɪɢɴᴀʟ ᴏᴩᴛɪᴏɴꜱ
ᴄʜᴏᴏꜱᴇ ʙᴇᴛᴡᴇᴇɴ ᴛʜᴇ ꜰᴏᴜʀ ꜱɪɢɴᴀʟ-ɢᴇɴᴇʀᴀᴛɪᴏɴ ᴍᴏᴅᴇꜱ:
ʀᴇᴠᴇʀꜱᴀʟ : ɪᴅᴇɴᴛɪꜰɪᴇꜱ ʀᴇᴠᴇʀꜱᴀʟ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ.
ʜᴀʟꜰ-ʟɪꜰᴇ : ᴛʀᴀᴄᴋꜱ ꜱᴛʀᴇᴀᴋꜱ ɪɴ ʀꜱɪ ᴀɴᴅ ʜɪɢʜʟɪɢʜᴛꜱ ᴍɪᴅ-ᴩᴏɪɴᴛ ʀᴇᴠᴇʀꜱᴀʟꜱ.
ʙᴏᴜɴᴄᴇ : ᴅᴇᴛᴇᴄᴛꜱ ʙᴏᴜɴᴄᴇꜱ ᴀꜰᴛᴇʀ ᴏᴠᴇʀꜱᴏʟᴅ/ᴏᴠᴇʀʙᴏᴜɢʜᴛ ꜱᴛʀᴇᴀᴋꜱ.
ꜰᴏᴍᴏ : ʜɪɢʜʟɪɢʜᴛꜱ ᴍᴏᴍᴇɴᴛᴜᴍ-ᴅʀɪᴠᴇɴ ʙʀᴇᴀᴋᴏᴜᴛ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ.
5. ᴄᴏʟᴏʀ ᴄᴜꜱᴛᴏᴍɪᴢᴀᴛɪᴏɴ
ꜰᴜʟʟʏ ᴄᴜꜱᴛᴏᴍɪᴢᴀʙʟᴇ ʙᴀʀ ᴄᴏʟᴏʀꜱ ꜰᴏʀ ᴅɪꜰꜰᴇʀᴇɴᴛ ᴄᴏɴᴅɪᴛɪᴏɴꜱ (ᴇ.ɢ., ᴜᴩᴛʀᴇɴᴅ, ᴅᴏᴡɴᴛʀᴇɴᴅ, ᴏᴠᴇʀʙᴏᴜɢʜᴛ, ᴏᴠᴇʀꜱᴏʟᴅ)
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ʜᴏᴡ ɪᴛ ᴡᴏʀᴋꜱ
1. ʀꜱɪ ᴄᴀʟᴄᴜʟᴀᴛɪᴏɴ
ᴛʜᴇ ꜱᴄʀɪᴩᴛ ᴄᴀʟᴄᴜʟᴀᴛᴇꜱ ʀꜱɪ ᴜꜱɪɴɢ ᴛʜᴇ ᴛʀᴀᴅɪᴛɪᴏɴᴀʟ ꜰᴏʀᴍᴜʟᴀ ʙᴜᴛ ᴀʟʟᴏᴡꜱ ᴄᴜꜱᴛᴏᴍɪᴢᴀᴛɪᴏɴ ᴏꜰ ᴛʜᴇ ᴩᴇʀɪᴏᴅ ᴀɴᴅ ᴛɪᴍᴇꜰʀᴀᴍᴇ. ɪᴛ ᴀʟꜱᴏ ᴜꜱᴇꜱ ᴡᴇɪɢʜᴛᴇᴅ ᴍᴏᴠɪɴɢ ᴀᴠᴇʀᴀɢᴇꜱ ᴛᴏ ʀᴇᴅᴜᴄᴇ ʟᴀɢ, ᴩʀᴏᴅᴜᴄɪɴɢ ᴀ ꜱᴍᴏᴏᴛʜᴇʀ ʀꜱɪ.
2. ᴅʏɴᴀᴍɪᴄ ʙᴀʀ ᴄᴏʟᴏʀɪɴɢ
ʙᴀʀꜱ ᴀʀᴇ ᴄᴏʟᴏʀᴇᴅ ᴅʏɴᴀᴍɪᴄᴀʟʟʏ ʙᴀꜱᴇᴅ ᴏɴ ᴛʜᴇ ʀꜱɪ’ꜱ ᴠᴀʟᴜᴇ, ᴡɪᴛʜ ɢʀᴀᴅɪᴇɴᴛ ᴄᴏʟᴏʀɪɴɢ ᴛʀᴀɴꜱɪᴛɪᴏɴɪɴɢ ʙᴇᴛᴡᴇᴇɴ ᴜꜱᴇʀ-ꜱᴩᴇᴄɪꜰɪᴇᴅ ᴄᴏʟᴏʀꜱ.
3. ꜱɪɢɴᴀʟ ɢᴇɴᴇʀᴀᴛɪᴏɴ
ᴇᴀᴄʜ ᴍᴏᴅᴇ ʜᴀꜱ ɪᴛꜱ ᴏᴡɴ ʟᴏɢɪᴄ ꜰᴏʀ ɪᴅᴇɴᴛɪꜰʏɪɴɢ ᴛʀᴀᴅɪɴɢ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ:
ᴀ. ʀᴇᴠᴇʀꜱᴀʟ ᴍᴏᴅᴇ
- ᴍᴏɴɪᴛᴏʀꜱ ᴡʜᴇɴ ʀꜱɪ ᴄʀᴏꜱꜱᴇꜱ ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴏʀ ᴏᴠᴇʀꜱᴏʟᴅ ʟᴇᴠᴇʟꜱ ᴀɴᴅ ʀᴇᴠᴇʀꜱᴇꜱ ᴅɪʀᴇᴄᴛɪᴏɴ. ɪᴛ ᴩʟᴏᴛꜱ ᴅᴀꜱʜᴇᴅ ʟɪɴᴇꜱ ꜰᴏʀ ᴩᴏᴛᴇɴᴛɪᴀʟ ʀᴇᴠᴇʀꜱᴀʟ ᴩᴏɪɴᴛꜱ ᴀɴᴅ ꜱɪɢɴᴀʟꜱ ᴡɪᴛʜ ʟᴀʙᴇʟꜱ.
ʙ. ʜᴀʟꜰ-ʟɪꜰᴇ ᴍᴏᴅᴇ
- ᴛʀᴀᴄᴋꜱ ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴏʀ ᴏᴠᴇʀꜱᴏʟᴅ ꜱᴛʀᴇᴀᴋꜱ ᴏꜰ ᴄᴏɴᴛɪɴᴜᴏᴜꜱ ʙᴀʀꜱ. ɪᴛ ᴛʜᴇɴ ɪᴅᴇɴᴛɪꜰɪᴇꜱ ᴄᴏɴꜱᴏʟɪᴅᴀᴛɪᴏɴ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ ᴀɴᴅ ᴩʟᴏᴛꜱ ᴅᴀꜱʜᴇᴅ ʟɪɴᴇꜱ ᴡɪᴛʜ ᴀʟᴇʀᴛꜱ.
ᴄ. ʙᴏᴜɴᴄᴇ ᴍᴏᴅᴇ
- ᴛʀᴀᴄᴋꜱ ʀꜱɪ ꜱᴛᴀʏɪɴɢ ʙᴇʟᴏᴡ ᴏᴠᴇʀꜱᴏʟᴅ (ᴏʀ ᴀʙᴏᴠᴇ ᴏᴠᴇʀʙᴏᴜɢʜᴛ) ꜰᴏʀ ᴩʀᴏʟᴏɴɢᴇᴅ ᴩᴇʀɪᴏᴅꜱ. ɪᴛ ɪᴅᴇɴᴛɪꜰɪᴇꜱ ʙᴏᴜɴᴄᴇ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ ᴡʜᴇɴ ᴩʀɪᴄᴇ ʙʀᴇᴀᴋꜱ ᴏᴜᴛ ᴏꜰ ᴛʜᴇ ᴏᴠᴇʀꜱᴏʟᴅ/ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴄᴏɴᴅɪᴛɪᴏɴꜱ.
ᴅ. ꜰᴏᴍᴏ
- ᴅᴇᴛᴇᴄᴛꜱ ʀꜱɪ ꜱᴛʀᴇᴀᴋꜱ ᴏꜰ ʙᴀʀꜱ ɪɴ ᴇxᴛʀᴇᴍᴇ ᴢᴏɴᴇꜱ. ᴀ "ꜰᴏᴍᴏ" ꜱɪɢɴᴀʟ ɪꜱ ɢᴇɴᴇʀᴀᴛᴇᴅ ᴡʜᴇɴ ᴩʀɪᴄᴇ ʙʀᴇᴀᴋꜱ ᴩᴀꜱᴛ ᴋᴇʏ ʟᴇᴠᴇʟꜱ.
4. ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ
- ᴡʜᴇɴ ᴇɴᴀʙʟᴇᴅ, ᴛʜᴇ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ᴅʏɴᴀᴍɪᴄᴀʟʟʏ ᴀᴅᴊᴜꜱᴛꜱ ɪᴛꜱ ʟᴇᴠᴇʟ ʙᴀꜱᴇᴅ ᴏɴ ᴛʜᴇ ᴩᴇʀᴄᴇɴᴛᴀɢᴇ ɪɴᴩᴜᴛ. ᴀʟᴇʀᴛꜱ ᴀʀᴇ ɢᴇɴᴇʀᴀᴛᴇᴅ ᴡʜᴇɴ ᴛʜᴇ ꜱᴛᴏᴩ-ʟᴏꜱꜱ ʟᴇᴠᴇʟ ɪꜱ ʙʀᴇᴀᴄʜᴇᴅ.
5. ᴀʟᴇʀᴛꜱ
- ᴀʟᴇʀᴛꜱ ᴀʀᴇ ɪɴᴛᴇɢʀᴀᴛᴇᴅ ꜰᴏʀ ᴀʟʟ ꜱɪɢɴᴀʟ ᴛʏᴩᴇꜱ ᴀɴᴅ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ᴇᴠᴇɴᴛꜱ. ᴜꜱᴇʀꜱ ᴄᴀɴ ᴄᴜꜱᴛᴏᴍɪᴢᴇ ᴀʟᴇʀᴛ ᴍᴇꜱꜱᴀɢᴇꜱ ᴏʀ ᴜꜱᴇ ᴛʜᴇ ᴩʀᴇᴄᴏɴꜰɪɢᴜʀᴇᴅ ᴏɴᴇꜱ.
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ᴠɪꜱᴜᴀʟ ᴇʟᴇᴍᴇɴᴛꜱ
ʀꜱɪ ᴩʟᴏᴛ
ᴛʜᴇ ᴍᴀɪɴ ʀꜱɪ ʟɪɴᴇ ɪꜱ ᴩʟᴏᴛᴛᴇᴅ ᴏɴ ᴛʜᴇ ᴄʜᴀʀᴛ ᴡɪᴛʜ ᴅʏɴᴀᴍɪᴄ ᴄᴏʟᴏʀɪɴɢ. ʜᴏʀɪᴢᴏɴᴛᴀʟ ʟɪɴᴇꜱ ᴅᴇɴᴏᴛᴇ ᴏᴠᴇʀʙᴏᴜɢʜᴛ ᴀɴᴅ ᴏᴠᴇʀꜱᴏʟᴅ ʟᴇᴠᴇʟꜱ.
ꜱɪɢɴᴀʟꜱ
ʀᴇᴠᴇʀꜱᴀʟ : ᴅᴀꜱʜᴇᴅ ʟɪɴᴇꜱ ᴀᴛ ʀᴇᴠᴇʀꜱᴀʟ ᴩᴏɪɴᴛꜱ. "ʙᴜʏ" ᴀɴᴅ "ꜱᴇʟʟ" ꜱɪɢɴᴀʟꜱ ᴀʀᴇ ᴩʟᴏᴛᴛᴇᴅ ᴡɪᴛʜ ᴀʀʀᴏᴡꜱ.
ʜᴀʟꜰ-ʟɪꜰᴇ : ʜɪɢʜʟɪɢʜᴛᴇᴅ ᴍɪᴅ-ᴩᴏɪɴᴛ ᴄᴏɴꜱᴏʟɪᴅᴀᴛɪᴏɴꜱ ᴡɪᴛʜ ᴅᴀꜱʜᴇᴅ ʟɪɴᴇꜱ.
ʙᴏᴜɴᴄᴇ : ᴏᴠᴇʀʙᴏᴜɢʜᴛ/ᴏᴠᴇʀꜱᴏʟᴅ ʟᴇᴠᴇʟꜱ ᴀʀᴇ ᴍᴀʀᴋᴇᴅ ᴡɪᴛʜ ᴇxᴛᴇɴᴅᴇᴅ ʟɪɴᴇꜱ, ᴀɴᴅ ꜱɪɢɴᴀʟꜱ ᴀʀᴇ ᴅɪꜱᴩʟᴀʏᴇᴅ ᴡɪᴛʜ ᴀʀʀᴏᴡꜱ.
ꜰᴏᴍᴏ : ʜᴏʀɪᴢᴏɴᴛᴀʟ ʟɪɴᴇꜱ ᴀʀᴇ ᴩʟᴏᴛᴛᴇᴅ ᴛᴏ ʀᴇᴩʀᴇꜱᴇɴᴛ ꜱᴛʀᴇᴀᴋ-ᴅʀɪᴠᴇɴ ʙʀᴇᴀᴋᴏᴜᴛ ʟᴇᴠᴇʟꜱ.
ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ
ᴩʟᴏᴛꜱ ᴀ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ʟɪɴᴇ ᴀʙᴏᴠᴇ ᴏʀ ʙᴇʟᴏᴡ ᴛʜᴇ ᴩʀɪᴄᴇ, ᴡʜɪᴄʜ ᴍᴏᴠᴇꜱ ᴅʏɴᴀᴍɪᴄᴀʟʟʏ ʙᴀꜱᴇᴅ ᴏɴ ᴛʜᴇ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ᴩᴇʀᴄᴇɴᴛᴀɢᴇ.
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ᴀʟᴇʀᴛꜱ
ᴄᴜꜱᴛᴏᴍ ᴀʟᴇʀᴛꜱ ᴇɴꜱᴜʀᴇ ᴛʀᴀᴅᴇʀꜱ ꜱᴛᴀʏ ɪɴꜰᴏʀᴍᴇᴅ ɪɴ ʀᴇᴀʟ-ᴛɪᴍᴇ. ᴀʟᴇʀᴛꜱ ɪɴᴄʟᴜᴅᴇ:
1. ʀᴇᴠᴇʀꜱᴀʟ ꜱɪɢɴᴀʟꜱ
- ʙᴜʏ: "ʀᴇᴠᴇʀꜱᴀʟ: ʙᴜʏ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
- ꜱᴇʟʟ: "ʀᴇᴠᴇʀꜱᴀʟ: ꜱᴇʟʟ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
2. ʜᴀʟꜰ-ʟɪꜰᴇ ꜱɪɢɴᴀʟꜱ
- ʙᴜʏ: "ʜᴀʟꜰ-ʟɪꜰᴇ ʙᴜʏ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
- ꜱᴇʟʟ: "ʜᴀʟꜰ-ʟɪꜰᴇ ꜱᴇʟʟ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
3. ʙᴏᴜɴᴄᴇ ꜱɪɢɴᴀʟꜱ
- ʙᴜʏ: "ʙᴏᴜɴᴄᴇ: ʙᴜʏ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
- ꜱᴇʟʟ: "ʙᴏᴜɴᴄᴇ: ꜱᴇʟʟ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
4. ꜰᴏᴍᴏ ꜱɪɢɴᴀʟꜱ
- ʙᴜʏ: "ꜰᴏᴍᴏ: ʙᴜʏ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
- ꜱᴇʟʟ: "ꜰᴏᴍᴏ: ꜱᴇʟʟ ꜱɪɢɴᴀʟ ᴛʀɪɢɢᴇʀᴇᴅ"
5. ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ
- ʟᴏɴɢ: "ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ʟᴏꜱꜱ ʜɪᴛ: ᴇxɪᴛ ʟᴏɴɢ ᴩᴏꜱɪᴛɪᴏɴ"
- ꜱʜᴏʀᴛ: "ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩ ʟᴏꜱꜱ ʜɪᴛ: ᴇxɪᴛ ꜱʜᴏʀᴛ ᴩᴏꜱɪᴛɪᴏɴ"
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ᴜꜱᴇ ᴄᴀꜱᴇꜱ
ᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ɪꜱ ɪᴅᴇᴀʟ ꜰᴏʀ
ʀᴇᴠᴇʀꜱᴀʟ ᴛʀᴀᴅᴇʀꜱ : ꜱᴩᴏᴛᴛɪɴɢ ᴛᴜʀɴɪɴɢ ᴩᴏɪɴᴛꜱ ɪɴ ᴛʜᴇ ᴍᴀʀᴋᴇᴛ.
ᴛʀᴇɴᴅ ᴄᴏɴᴛɪɴᴜᴀᴛɪᴏɴ : ɪᴅᴇɴᴛɪꜰʏɪɴɢ ᴏᴩᴩᴏʀᴛᴜɴɪᴛɪᴇꜱ ᴀꜰᴛᴇʀ ꜱᴜꜱᴛᴀɪɴᴇᴅ ᴛʀᴇɴᴅꜱ.
ʙʀᴇᴀᴋᴏᴜᴛ ᴛʀᴀᴅᴇʀꜱ : ᴄᴀᴩᴛᴜʀɪɴɢ ᴍᴏᴍᴇɴᴛᴜᴍ-ʙᴀꜱᴇᴅ ᴍᴏᴠᴇꜱ.
ʀɪꜱᴋ ᴍᴀɴᴀɢᴇᴍᴇɴᴛ : ᴜᴛɪʟɪᴢ ɪɴɢ ᴛʀᴀɪʟɪɴɢ ꜱᴛᴏᴩꜱ ᴛᴏ ᴩʀᴏᴛᴇᴄᴛ ᴩʀᴏꜰɪᴛꜱ.
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ᴄᴏɴᴄʟᴜꜱɪᴏɴ
ᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ɪꜱ ᴀ ʀᴏʙᴜꜱᴛ ᴀɴᴅ ᴄᴜꜱᴛᴏᴍɪᴢ ᴀʙʟᴇ ɪɴᴅɪᴄᴀᴛᴏʀ ᴅᴇꜱɪɢɴᴇᴅ ᴛᴏ ᴇɴʜᴀɴᴄᴇ ᴛʀᴀᴅɪɴɢ ᴅᴇᴄɪꜱɪᴏɴꜱ ʙʏ ᴩʀᴏᴠɪᴅɪɴɢ ᴀᴄᴛɪᴏɴᴀʙʟᴇ ɪɴꜱɪɢʜᴛꜱ ʙᴀꜱᴇᴅ ᴏɴ ʀꜱɪ ᴀɴᴅ ᴩʀɪᴄᴇ ᴅʏɴᴀᴍɪᴄꜱ. ᴡɪᴛʜ ɪᴛꜱ ᴍᴜʟᴛɪ-ꜱɪɢɴᴀʟ ᴍᴏᴅᴇꜱ, ᴅʏɴᴀᴍɪᴄ ᴠɪꜱᴜᴀʟꜱ, ᴀɴᴅ ʙᴜɪʟᴛ-ɪɴ ᴀʟᴇʀᴛꜱ, ᴛʜɪꜱ ɪɴᴅɪᴄᴀᴛᴏʀ ɪꜱ ꜱᴜɪᴛᴀʙʟᴇ ꜰᴏʀ ᴛʀᴀᴅᴇʀꜱ ᴀᴄʀᴏꜱꜱ ᴀʟʟ ᴇxᴩᴇʀɪᴇɴᴄᴇ ʟᴇᴠᴇʟꜱ. ᴡʜᴇᴛʜᴇʀ ʏᴏᴜ'ʀᴇ ᴛʀᴀᴅɪɴɢ ʀᴇᴠᴇʀꜱᴀʟꜱ, ʙʀᴇᴀᴋᴏᴜᴛꜱ, ᴏʀ ᴛʀᴇɴᴅ ᴄᴏɴᴛɪɴᴜᴀᴛɪᴏɴꜱ, ᴛʜᴇ ʀꜱɪ ᴛᴏᴏʟᴋɪᴛ ɪꜱ ᴀ ᴠᴀʟᴜᴀʙʟᴇ ᴀᴅᴅɪᴛɪᴏɴ ᴛᴏ ʏᴏᴜʀ ᴛʀᴀᴅɪɴɢ ᴀʀꜱᴇɴᴀʟ.
RShar Seasonal RSISeasonal RSI
This indicator, Seasonal RSI, is designed to enhance trading decisions by combining the **Relative Strength Index (RSI)** with insights derived from historical **seasonality patterns**. It not only calculates RSI but also overlays seasonality data for the current week of the year, providing traders with a more contextualized view of market conditions.
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### **Key Features**
#### 1. **Relative Strength Index (RSI) Calculation**
- The script calculates the RSI for a user-defined period (`RSI Length`), which is an oscillator used to measure the speed and magnitude of price changes.
- RSI values are plotted on the chart, helping traders identify **overbought** and **oversold** conditions.
- Thresholds for **Overbought** and **Oversold** levels are customizable, with default values of 70 and 30, respectively.
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#### 2. **Dynamic RSI Coloring Based on Seasonality**
- The color of the RSI line dynamically adjusts based on historical **win rates** for the current week of the year:
- **Bright Green** for win rates > 65%.
- **Green** for win rates between 50-65%.
- **Red** for win rates between 35-50%.
- **Dark Red** for win rates < 35%.
- This feature gives traders a quick visual cue about whether the historical performance of the current week tends to be bullish, neutral, or bearish.
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#### 3. **Overbought and Oversold Level Visualization**
- Overbought and oversold levels are displayed as dotted horizontal lines on the RSI chart.
- These levels act as visual guides for potential price reversals:
- **Overbought (default 70)**: Indicates potential selling pressure.
- **Oversold (default 30)**: Indicates potential buying pressure.
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#### 4. **Seasonality Data Integration**
- Historical **seasonality data** is used to analyze price performance patterns for each week of the year:
- **Win Rate**: The percentage of years in which prices closed higher during the current week.
- **Average Weekly Change**: The average price percentage change during the current week over historical data.
- This data provides additional context to RSI readings, helping traders align their strategies with seasonal tendencies.
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#### 5. **Information Table Overlay**
- A table is displayed in the **top-right corner** of the chart, summarizing seasonality data for the current week:
- **Week Win Rate**: Displays the percentage of historical years where prices rose during this week.
- **Avg Weekly Change**: Shows the average percentage price change for the current week. Positive values are displayed in green, and negative values are shown in red.
- This overlay provides actionable insights without cluttering the chart.
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### **How It Works**
1. **Seasonality Data**:
- A function (`getSeasonalityForWeek`) fetches or uses predefined mock seasonality data for each week of the year.
- For each week, it calculates:
- The **Win Rate** (percentage of years with positive performance).
- The **Mean Change** (average price percentage change).
2. **RSI Plot**:
- The RSI line is plotted on the chart.
- The line's color is determined by the win rate for the current week, providing a visual representation of historical performance trends.
3. **Threshold Visualization**:
- Horizontal lines for overbought and oversold levels are drawn to assist in identifying potential reversal points.
4. **Information Table**:
- The table summarizes the current week's seasonality data for quick reference, helping traders make data-driven decisions.
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### **Use Cases**
- **Short-Term Traders**:
Use the dynamic RSI colors and seasonality table to align short-term trades with historical patterns of weekly performance.
- **Swing Traders**:
Identify whether a stock or market is in an overbought/oversold condition while considering the seasonal tendency for the week.
- **Contextual Decision-Making**:
Combine traditional RSI signals with historical data to reduce false signals and improve timing.
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### **Limitations**
- The script uses **mock seasonality data** in its default state. To make it fully functional, replace the mock data with actual historical performance metrics for your specific ticker or market.
- The indicator does not fetch real-time external data due to Pine Script’s limitations, so all seasonality data must be manually updated or hardcoded.
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This indicator provides a powerful way to combine technical analysis with historical trends, offering a unique edge to traders by adding seasonal context to RSI signals.
