Optional Pro Bottom IndicatorOptional Pro Bottom Indicator is a combination of 3 indicators where
1) Hybrid Volume Price Indicator with Higher Time Frame ( Red color)
2) Hybrid Volume Price Indicator with lower time frame ( Blue Color)
3) Volume Indicator ( Lime color Line)
4) Index Indicator ( Yellow color Line)
This set of 4 Indicators are prepared using 1) WAP of Volume , 2) Price Indicator 3) OB Volume 4) a combination of the above indicators used to create a Hybrid Indicators of a) Higher time frame B) lower time frame are used.
Usage :
1)The volume Indicator is used to analyze the Volume Support for the Price Move upside and down side will be estimated.
2)The Index Indicator is used to analyze the Price Move for intraday or Swing Trade to spot the
Trend
3)The HTF indicator is to be used for breakout of the Price in the intraday trading
4)The lower Time frame indicator is to be used the time of Entry in the intraday / swing trade.
Oscillateurs
Ichimoku Trade Checkpoint Ver 1.5.24 (Stable)📊 Ichimoku Trade Checkpoint – Multi-Layer Execution Dashboard
🔍 Overview
Ichimoku Trade Checkpoint is a professional, rule-driven execution dashboard built on classical Ichimoku Cloud theory.
Its goal is not to generate random buy/sell signals, but to convert Ichimoku into a clear, structured decision-making framework that helps traders assess trend quality, alignment, and execution readiness.
Instead of interpreting the cloud subjectively, this script breaks Ichimoku into four independent structural zones, evaluates each logically, and presents the result in a disciplined, repeatable way.
🧩 Detailed Functionalities
1️⃣ TS–KS (Tenkan–Kijun) Zone
Evaluates short-term momentum and trigger quality
Helps identify:
Impulse moves
Pullbacks
Flat / compressed conditions
Acts as the entry-timing layer, not a trend decision by itself
2️⃣ Current Cloud Zone
Represents the active trend structure where price is currently trading
Distinguishes between:
Trend continuation
Range / transition
High-risk chop zones
Prevents trading against dominant structure
3️⃣ Future Cloud Zone
Uses Leading Span A & B to assess forward bias
Helps traders understand:
Whether the trend is strengthening or weakening
Upcoming support / resistance zones
Encourages anticipation, not reaction
4️⃣ Historical Cloud Zone
Uses past cloud structure for higher-order confirmation
Filters:
Weak breakouts
Late trend entries
Adds context and confidence to trades aligned with larger structure
🐞 Debug & Transparency Layer
Optional debug labels show exact placement of:
TS–KS zone
Current cloud
Future cloud
Historical cloud
Designed for:
Learning Ichimoku correctly
Validating logic visually
Building trust in the framework
🚀 Advantages of This Script
✅ Objective Ichimoku Interpretation
Eliminates guesswork by converting visual cloud analysis into explicit logic and checkpoints.
✅ Multi-Layer Confirmation
Trades are evaluated across momentum, structure, and forward bias, reducing false signals.
✅ Multi-Timeframe Friendly
Works seamlessly across intraday and higher timeframes, encouraging top-down alignment.
✅ Execution-Focused Design
Built to answer the real trader question:
“Is this market ready for execution — yes or no?”
✅ Educational & Professional
The debug system makes this script ideal for:
Learning Ichimoku deeply
Systematic traders
Rule-based discretionary trading
🛠️ How to Use
Choose your timeframe
Best suited for 15m / 30m / 1H intraday and swing trading.
Assess alignment
Highest quality trades occur when TS–KS, Current Cloud, and Future Cloud align.
Use Historical Cloud as confirmation
Strengthens conviction and filters marginal setups.
Enable Debug Mode (optional)
Recommended while learning or validating signals.
Execute with discipline
Combine with your own:
Risk management
Position sizing
Trade management rules
This script supports decision quality, not impulsive trading.
⚠️ Disclaimer
This indicator is a decision-support and analytical tool only.
It does not provide financial advice or guaranteed trading results.
Trading involves risk, and past performance does not guarantee future outcomes.
Always apply proper risk management, position sizing, and personal judgment before taking trades.
Use this tool as part of a broader trading plan, not as a standalone signal generator.
[AboBassel] RS + RS.ROC + Inverted ATR (Unified Channel)
This is a multi-indicator channel tool combining Relative Strength (RS), RS Rate of Change (RS.ROC), and Inverted ATR Percentage (ATRP) into a single unified channel for clear visual trend analysis.
Features:
• All three lines are normalized into one visual channel with five distinctive threshold levels (Upper/Lower Curbs, Inner Bands, and Middle).
• RS , ATR , ROC Lines all are invertable for better follow up on trends
• RS.ROC period and timeframe are editable independently from RS.
• ATR time frame and lookback period are fully adjustable.
• Channel thresholds are fully editable. Lines can exceed upper/lower curbs, showing extreme conditions.
• Suitable for trend detection, swing trading, and risk assessment.
Usage Tips:
• Look for lines crossing bands or curbs for potential trade setups.
• Observe background color for overall market sentiment.
• Major blue arrows indicate strong shifts in trend direction.
Ideal For: Swing traders, trend followers, and advanced technical analysts who want combined momentum, volatility, and relative strength insights in a single chart.
KINETIC CORE: Momentum & RVOL MatrixThe Kinetic Impulse Lab (KIL) is an institutional-grade "Heads-Up Display" designed to streamline market analysis. Instead of cluttering your chart with multiple oscillators and volume bars, KIL consolidates TTM Momentum, Relative Volume (RVOL) , and Market Structure (Pivots) into a single, high-density visual matrix.
The core philosophy of this script is "Kinetic Sync"—the idea that the highest probability trades occur when price momentum and volume intensity are perfectly aligned.
Key Features
1. The Kinetic Intensity Meters
The HUD features two 10-block meters that use a sophisticated 4-color momentum logic . Unlike standard bars, these meters tell you if the force is Building (Bright) or Fading (Dark).
TTM Momentum (Top Meter) : Tracks the classic squeeze momentum.
Cyan : Strong bullish momentum, increasing.
Dark Cyan : Bullish momentum, but losing steam.
Magenta : Strong bearish momentum, increasing.
Light Magenta : Bearish momentum, but losing steam.
RVOL Flow (Bottom Meter): Measures current volume relative to the average.
Lime: High volume and rising (Strong participation).
Green: High volume but falling.
Orange: Low volume but rising.
Rust: Low volume and falling.
GOLD SURGE: Triggered when volume explodes past a user-defined threshold (e.g., $2.0\times$ average).
2. Integrated Market Structure
The HUD tracks the two most recent Pivot Highs and Lows. This allows you to monitor structural breaks and "liquidity grabs" without needing to keep old levels manually drawn on your chart.
3. Professional HUD Interface
Compact Footprint: Fixed 10-block width ensures the table stays small and stable.
UI Scaling: Options for Tiny, Small, or Normal text to fit any layout.
Bottom-Right Default: Optimized to stay out of the way of price action.
Settings
Surge Threshold: Customize how sensitive the "Gold" volume signal is.
Pivot Strength: Adjust how many candles are required to confirm a structural high or low.
Multi-Asset Rotation ModelOverview
This indicator provides a quantitative framework for analyzing a dual-leg rotation model between growth assets (Equities) and defensive assets (Precious Metals). It uses a mathematical approach—selectable between DMI-based Trend Spread or Rate of Change (ROC)—to determine relative strength and simulate a hypothetical rebalanced portfolio.
How it Works
The script evaluates two primary "legs" of a portfolio:
Domestic Growth: Rotates between Midcap (NSE:NIFTYMIDSML400) and Metals based on relative momentum.
International Growth: Rotates between NASDAQ-100 (NSE:MON100) and Metals.
Hedge Logic: When the model shifts to defensive mode, it further splits the allocation between Gold and Silver based on their internal relative strength.
Key Features
Dual Signal Engine: Toggle between a DMI (Directional Movement Index) spread or simple ROC (Rate of Change) to suit your research style.
Friction Modeling: Includes a user-defined "Slippage" input to account for the impact of transaction costs and tracking errors in hypothetical historical data.
Performance Dashboard: Displays total return, CAGR (Average Annual Return), Sharpe Ratio, and Rolling Returns for the model vs. benchmarks.
Dynamic Visualization: The Strategy NAV line changes color based on the model's current regime (Aggressive vs. Defensive).
Compliance & Risk Warning
Hypothetical Performance: This script displays a "Net Asset Value" (NAV) line based on historical data. These results are hypothetical and do not represent actual trading.
Educational Use Only: This tool is intended for research and backtesting analysis. It does not provide trade signals or investment advice.
No Future Predictions: Past performance, as modeled here, is not indicative of future market behavior.
MACD Extreme V1[CoinTadpole]MACD Extreme
MACD Extreme is an advanced momentum exhaustion indicator that detects potential trend reversal zones by applying statistical analysis to MACD histogram divergence. Instead of relying on traditional crossover signals, this indicator identifies when the gap between MACD line (K) and Signal line (D) expands to statistically extreme levels, then confirms directional reversal before generating signals.
The indicator displays MACD components with statistical exhaustion detection and filtered reversal signals.
🔶 WHAT MAKES THIS DIFFERENT FROM EXISTING INDICATORS
This is NOT a simple MACD crossover alert, histogram color changer, or basic divergence detector.
Most open-source MACD tools provide:
- Crossover signals only (inherently lagging, triggering after price movement)
- Fixed threshold alerts without statistical context
- Visual histogram display without extremity measurement
- No quantification of "how extreme" current divergence actually is
- Signals on every crossover regardless of market conditions
MACD Extreme provides capabilities that standard MACD indicators cannot offer:
1. Statistical Extremity Detection
Measures current histogram magnitude against a rolling statistical baseline. The algorithm calculates whether current K-D divergence exceeds N standard deviations from the historical mean over a configurable lookback period. This transforms raw histogram values into statistically meaningful measurements, objectively identifying when divergence enters "extreme" territory.
2. Dual Detection Methodology
Offers two distinct statistical approaches:
- Standard Deviation Mode (Default): Triggers when histogram exceeds the configured sensitivity multiplier times the historical standard deviation
- Percentile Mode (Alternative): Triggers when histogram ranks in the top X percentile of all values within the lookback window
Users can select the method that best suits their trading style and market conditions.
3. Multi-Bar Reversal Confirmation
Signals are not generated on extreme values alone. The algorithm implements a two-bar confirmation pattern: it waits for the histogram to show directional change (current bar reversing from previous bar's direction) before triggering. This significantly reduces false signals during strong trending conditions where divergence may remain extreme for extended periods.
4. Pre-Crossover Signal Generation
By detecting momentum exhaustion at extreme divergence levels, signals often appear BEFORE traditional Golden/Dead Cross occurs. This provides earlier entry opportunities with potentially better risk/reward positioning compared to waiting for lagging crossover confirmation.
5. Visual Exhaustion Zone Mapping
Background coloring dynamically highlights when histogram enters statistically extreme territory. Green background indicates extreme bearish divergence (potential bullish reversal zone), red background indicates extreme bullish divergence (potential bearish reversal zone). This visual layer prepares traders for potential signals before they trigger.
6. Consecutive Signal Filtering
Built-in logic prevents signal spam by filtering consecutive triggers. Only the first valid signal in a reversal sequence is displayed, eliminating redundant alerts during extended reversal zones.
🔶 THE PROBLEM THIS SOLVES
Traditional MACD trading relies on crossover signals:
- MACD crosses above Signal (Golden Cross) = Buy signal
- MACD crosses below Signal (Dead Cross) = Sell signal
However, crossovers are inherently lagging indicators. The mathematical nature of moving average crossovers means they can only confirm trend changes AFTER those changes have already begun.
The Challenge:
- Crossovers confirm reversals after significant price movement has occurred
- Entering at crossover points often means buying near local highs or selling near local lows
- No objective measurement of divergence extremity exists in standard MACD
- Traders cannot quantify "how overextended" current momentum actually is
- Subjective visual judgment of histogram size varies between individuals and timeframes
As shown above, entries based on traditional crossover signals often result in suboptimal timing, with price frequently moving against the position shortly after the crossover appears.
The Solution:
MACD Extreme approaches the problem differently. Instead of waiting for the lagging crossover confirmation, it monitors the statistical extremity of the K-D gap (histogram) itself. When this gap expands beyond normal historical ranges AND shows the first signs of contraction, a signal triggers - often well before the traditional crossover would appear.
This allows traders to:
- Identify momentum exhaustion zones in advance
- Prepare for potential reversals before they complete
- Enter positions with better risk/reward ratios
- Avoid the common trap of "buying the crossover, selling the bottom"
🔶 HOW THE ALGORITHM WORKS
The indicator applies statistical analysis to MACD histogram values through a multi-step process:
Step 1: Calculate Standard MACD Components
Computes the traditional MACD values using configurable EMA periods:
- Fast EMA (default: 7 periods) - Short-term price momentum
- Slow EMA (default: 25 periods) - Longer-term price momentum
- MACD Line (K) = Fast EMA - Slow EMA
- Signal Line (D) = EMA of MACD Line (default: 9 periods)
- Histogram = K - D (the divergence between MACD and Signal)
Step 2: Build Statistical Baseline
Over the specified lookback period (default: 50 bars), the algorithm calculates:
- Historical mean of histogram values
- Standard deviation of histogram distribution
This creates a dynamic baseline that automatically adapts to each asset's typical divergence behavior and volatility characteristics.
Step 3: Measure Statistical Extremity
For each bar, the algorithm compares current histogram magnitude against the statistical baseline:
Standard Deviation Method:
Identifies when |Histogram| > (Standard Deviation × Sensitivity Threshold)
A sensitivity of 2.0 means the current divergence must exceed 2 standard deviations - statistically, this occurs in approximately the top 5% of historical values.
Percentile Method (Alternative):
Ranks current absolute histogram value against all values in the lookback period. Signals when current value exceeds the specified percentile threshold (e.g., 95th percentile = top 5% of historical extremes).
Step 4: Confirm Reversal Direction
The algorithm does not signal on extreme values alone. It implements a multi-bar confirmation:
- For Bullish: Histogram must be negative (K below D) AND current bar rising while previous bar was falling or flat
- For Bearish: Histogram must be positive (K above D) AND current bar falling while previous bar was rising or flat
This confirmation step ensures signals occur at turning points rather than during continued extreme expansion.
Step 5: Filter Consecutive Signals
To prevent signal spam during extended reversal zones, only the first signal in a reversal sequence is displayed. Subsequent bars meeting the criteria are filtered until conditions reset.
🔶 THE SIGNALS
🟢 Bullish Signal (Green)
Trigger Conditions:
- Histogram is negative (MACD below Signal line)
- Histogram magnitude exceeds statistical threshold
- Histogram direction reverses upward (current > previous, previous ≤ two bars ago)
- First signal in current reversal sequence
Interpretation: Selling pressure has reached statistically extreme levels and shows initial signs of exhaustion. Potential bullish reversal zone - not a guarantee, but a statistically significant area for trend change.
🔴 Bearish Signal (Red)
Trigger Conditions:
- Histogram is positive (MACD above Signal line)
- Histogram magnitude exceeds statistical threshold
- Histogram direction reverses downward (current < previous, previous ≥ two bars ago)
- First signal in current reversal sequence
Interpretation: Buying pressure has reached statistically extreme levels and shows initial signs of exhaustion. Potential bearish reversal zone - not a guarantee, but a statistically significant area for trend change.
Signals appear when statistical exhaustion is detected AND directional reversal begins, providing early warning of potential trend changes.
🔶 BACKGROUND EXHAUSTION ZONES
The colored background provides continuous context about current market conditions:
🟩 Green Background Zone
Appears when histogram enters statistically extreme NEGATIVE territory. This indicates the K-D gap has expanded significantly in the bearish direction beyond normal historical ranges. Green zones often precede bullish reversals as they represent potential selling exhaustion.
Important: Green background does NOT mean "buy now." It means "selling pressure is statistically extreme - watch for reversal confirmation."
🟥 Red Background Zone
Appears when histogram enters statistically extreme POSITIVE territory. This indicates the K-D gap has expanded significantly in the bullish direction beyond normal historical ranges. Red zones often precede bearish reversals as they represent potential buying exhaustion.
Important: Red background does NOT mean "sell now." It means "buying pressure is statistically extreme - watch for reversal confirmation."
Background zones highlight when momentum reaches statistical extremes, preparing traders for potential reversals before signals trigger.
🔶 SETTINGS EXPLAINED
📊 MACD Settings
Fast EMA (Default: 7)
The shorter EMA period. Lower values make MACD more responsive to recent price changes. Default of 7 is more responsive than traditional 12.
Slow EMA (Default: 25)
The longer EMA period. The difference between Fast and Slow determines overall MACD sensitivity. Default of 25 is slightly faster than traditional 26.
Signal EMA (Default: 9)
Smoothing period for the Signal line. Standard value maintained for reliable crossover reference.
🔥 Signal Detection
Lookback Period (Default: 50)
Number of historical bars used to calculate statistical baseline (mean and standard deviation).
- Lower values (30-40): More responsive to recent market conditions, may produce more signals
- Higher values (60-80): More stable baseline, fewer but potentially more reliable signals
Recommended range: 30-80 depending on timeframe and asset volatility.
Sensitivity (Default: 2.0)
Standard deviation multiplier determining the threshold for "extreme" classification.
- 1.5: Lower threshold, more frequent signals, higher false positive rate
- 2.0: Balanced setting - recommended for most users
- 2.5+: Higher threshold, fewer signals, only the most extreme conditions
Think of this as a statistical confidence level: 2.0σ ≈ 95th percentile extremity.
Use Percentile Detection (Default: OFF)
Alternative statistical method. When enabled, uses percentile ranking instead of standard deviation approach.
Percentile Threshold (Default: 95%)
When percentile mode is active, signals trigger when histogram magnitude ranks in the top X% of all values within the lookback period.
- 90%: Top 10% of historical values
- 95%: Top 5% of historical values (recommended)
- 99%: Top 1% - only the most extreme cases
🔶 RECOMMENDED CONFIGURATIONS
Conservative (Swing Trading):
- Lookback: 60-80 bars
- Sensitivity: 2.0-2.5
- Timeframe: 4H, Daily
- Fewer signals with higher statistical significance
Balanced (Position Trading):
- Lookback: 50 bars
- Sensitivity: 2.0
- Timeframe: 1H, 4H
- Moderate signal frequency with good reliability
Active (Shorter-term Trading):
- Lookback: 30-40 bars
- Sensitivity: 1.5-1.8
- Timeframe: 1H
- More signals, requires additional confirmation from other methods
🔶 TIMEFRAME RECOMMENDATIONS
- Optimal: 4-Hour and Daily charts - Cleanest signals with strongest statistical significance
- Good: 1-Hour charts - Acceptable signal quality for active traders
- Not Recommended: 15-minute and below - Increased statistical noise reduces signal reliability
Lower timeframes produce more random fluctuations in histogram values, making statistical extremity detection less meaningful.
🔶 ALERT CONFIGURATION
Three alert conditions available for automated notification:
Bullish Reversal Alert
Triggers only on green (bullish) signals. Suitable for traders focusing on long positions.
Bearish Reversal Alert
Triggers only on red (bearish) signals. Suitable for traders focusing on short positions.
Any Reversal Alert
Triggers on both bullish and bearish signals. Single alert setup captures all opportunities.
To configure: Right-click indicator → Add Alert → Select desired condition → Choose notification method (popup, email, webhook, mobile push)
🔶 IMPORTANT LIMITATIONS
- Signals indicate statistically extreme divergence with reversal initiation - they do not guarantee actual price reversal will occur or continue
- Strong trends can produce multiple extreme readings before meaningful reversal occurs
- Statistical thresholds are calculated from historical data and may not accurately predict future market behavior
- The indicator performs best in ranging and mean-reverting market conditions
- Trending markets may produce early signals - consider using additional trend filters for confirmation
- Lower timeframes significantly increase noise and reduce signal reliability
- Past signal performance does not guarantee future results
- This is an analysis and planning tool, not a standalone trading system
- Always combine with other analysis methods including support/resistance levels, volume analysis, and broader trend context
🔶 RISK DISCLAIMER
Trading involves substantial risk of loss and is not suitable for all investors. This indicator is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Past indicator performance does not guarantee future results. Statistical patterns observed in historical data may not repeat in future market conditions. All investment and trading decisions are entirely your own responsibility. Never risk more than you can afford to lose.
🔶 HOW TO GET ACCESS
This script is provided as Invite-Only. To request access, please check the links in my TradingView profile or send me a direct message.
UCTRPB RSI Price Bands [CoinTadpole]UCTRPB RSI Price Bands
UCTRPB is a predictive price band indicator that reverse-engineers the RSI formula to project exact price levels where RSI would reach specific thresholds. This allows traders to plan systematic entries and exits BEFORE price arrives at key levels.
🔶 WHAT MAKES THIS DIFFERENT FROM EXISTING INDICATORS
This is NOT a simple RSI overlay, threshold alert, or basic reverse-calculation script.
Most open-source RSI tools provide:
- Current RSI value only (reactive, not predictive)
- Single threshold lines displayed on a separate RSI panel
- Alerts triggered AFTER RSI crosses a level (too late for preparation)
UCTRPB provides capabilities that standard RSI indicators cannot offer:
1. Reverse-Engineering Price Projection
While normal RSI calculates momentum FROM price, this indicator works backwards. It solves the RSI equation in reverse using Wilder's smoothing method to determine what price movement would produce a specific RSI value, then projects those levels directly on your price chart as dynamic bands.
2. Multi-Tier Zone System
Instead of single lines, displays gradient zones with upper and lower boundaries. The oversold zone shows two levels (default: RSI 20 and RSI 25), and the overbought zone shows two levels (default: RSI 73 and RSI 80). This enables systematic position building across multiple price levels.
3. Real-Time Percentage Distance Labels
Displays exact percentage distance from current price to each zone boundary. You instantly see how far price needs to drop to reach oversold (-X%) or rise to reach overbought (+X%).
4. Adaptive EMA Smoothing
User-adjustable smoothing parameter (1-20) adapts band responsiveness to different market conditions. Lower values for volatile low-cap altcoins, higher values for stable large-cap assets like Bitcoin.
5. Integrated Info Dashboard
All critical values displayed in one compact table: Current RSI, Current Price, Oversold Zone range, Overbought Zone range. Monitor everything at a glance without cluttering your chart.
6. Pre-Calculated DCA Entry Targets
Calculates exact prices for multiple RSI thresholds simultaneously, enabling planned Dollar-Cost Averaging entries before price arrives at those levels.
🔶 THE PROBLEM THIS SOLVES
Many traders want to accumulate at RSI oversold levels. However, they face a critical challenge:
The Challenge:
- "I want to buy when RSI hits 20-25"
- But what PRICE will that be?
- You cannot know in advance
- By the time RSI shows oversold, the opportunity requires instant reaction
Manual reverse-calculation of RSI is mathematically complex and practically impossible in real-time. The formula involves Wilder's exponential smoothing with rolling averages that change every bar.
The Solution:
UCTRPB pre-calculates these price levels dynamically, updating with each new bar. You see target prices BEFORE the move happens, allowing systematic order placement rather than reactive decisions.
As shown above, price touched the oversold zone and bounced. The indicator projected this support level BEFORE price arrived there.
🔶 MULTI-LEVEL DCA PLANNING SYSTEM
Unlike single-threshold indicators, UCTRPB displays a dual-boundary zone system for systematic position building:
🟢 Oversold Zone (Green Band) - For Accumulation Planning
The green gradient band shows where RSI would become oversold.
Default settings: RSI 20-25
- Upper boundary (RSI 25): First accumulation target - conservative entry
- Lower boundary (RSI 20): Second accumulation target - aggressive entry
Example: Current price $1.00
- RSI 25 level = $0.88 (-12%) → Place 1st limit buy
- RSI 20 level = $0.82 (-18%) → Place 2nd limit buy
🔴 Overbought Zone (Red Band) - For Take-Profit Planning
The red gradient band represents where RSI would enter overbought territory.
Default settings: RSI 73-80
- Lower boundary (RSI 73): First take-profit target - secure partial gains
- Upper boundary (RSI 80): Second take-profit target - extended target
Example: Current price $1.00
- RSI 73 level = $1.15 (+15%) → Place 1st take-profit
- RSI 80 level = $1.28 (+28%) → Place 2nd take-profit
This systematic approach enables:
- Planned DCA entries at multiple levels instead of single-point entries
- Graduated take-profit strategy to secure gains progressively
- Execution based on predetermined plan rather than emotional reactions
- Clear visibility of risk/reward before entering any position
Labels display exact price range and percentage distance to each zone, allowing precise limit order placement.
🔶 HOW THE ALGORITHM WORKS
The indicator applies reverse RSI calculation using Wilder's smoothing method:
Step 1: Retrieve Current RSI Components
Extracts current Average Gain and Average Loss values calculated using Wilder's exponential smoothing over the specified period (default: 14 bars).
Step 2: Calculate Target RS Ratio
For a target RSI value, calculates the required Relative Strength ratio.
Formula: Target RS = Target RSI / (100 - Target RSI)
Example: For RSI 25 → Target RS = 25/75 = 0.333
Example: For RSI 20 → Target RS = 20/80 = 0.250
Step 3: Determine Required Price Change
Based on current averages and Wilder smoothing formula, calculates what price change in the next bar would produce the target RS ratio. This accounts for how the new bar's gain/loss affects the smoothed averages.
Step 4: Project Price Levels
Converts required price change to actual price levels displayed as bands on the chart.
Step 5: Apply Adaptive Smoothing
EMA smoothing reduces noise while maintaining responsiveness. Adjustable from 1 (raw, responsive) to 20 (smooth, stable).
Mathematical Foundation:
RSI = 100 - (100 / (1 + RS))
where RS = Average Gain / Average Loss
UCTRPB solves this equation BACKWARDS to find the price that would produce a target RSI.
🔶 INFO TABLE DASHBOARD
The information table provides quick reference without cluttering the chart:
- Current RSI: Real-time RSI value
- Current Price: Latest closing price
- Oversold Zone: Price range for oversold territory
- RSI Range: Your configured RSI levels
- Overbought Zone: Price range for overbought territory
All critical values visible at a glance. Table position is adjustable (Top/Bottom, Left/Right).
Dashboard displays Current RSI, Price, and Zone levels in one place for quick reference.
🔶 BAND SMOOTHING SETTINGS
The Line Smoothing parameter (default: 15) controls band appearance:
Lower Values (1-10):
- More responsive, sharper bands
- Reacts quickly to price changes
- Better for volatile, low-cap altcoins with rapid price movements
- May show more noise
Higher Values (15-20):
- Smoother, more stable bands
- Filters out short-term fluctuations
- Better for high market cap assets (BTC, ETH) with substantial liquidity
- Cleaner visual appearance
Adjust based on the asset's typical volatility characteristics.
🔶 NON-REPAINTING CONFIRMATION
This indicator does NOT repaint:
- All calculations use closed bar data only
- Historical bands remain fixed after each bar closes
- What you see on historical charts is exactly what was displayed in real-time
- Intrabar fluctuations may show potential levels, but final levels are confirmed only at bar close
🔶 RECOMMENDED SETTINGS
Timeframes:
- 15-minute and 1-hour charts recommended for active trading
- 4-hour and Daily for swing trading setups
- Lower timeframes may produce more noise
Conservative Settings (Fewer but stronger signals):
- Bitcoin: Oversold 20-25, Overbought 75-80
- Large-cap Altcoins: Oversold 20-25, Overbought 73-80
Aggressive Settings (More opportunities):
- Small-cap Altcoins: Oversold 23-28, Overbought 70-75
- Higher RSI thresholds = more frequent zone touches
Price approaching the overbought zone tends to face resistance, as shown above.
🔶 IMPORTANT LIMITATIONS
- This indicator shows where RSI "would be" IF price moved there in the next bar
- Bands recalculate dynamically with each new bar as market conditions change
- This is a planning and analysis tool, not a guarantee of reversal at those levels
- Strong trends can push through oversold/overbought zones without immediate reversal
- Always use in conjunction with other analysis methods (support/resistance, volume, trend)
- Market conditions can change rapidly and invalidate projected levels
🔶 RISK DISCLAIMER
Trading involves substantial risk of loss. This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past indicator performance does not guarantee future results. All investment decisions are entirely your own responsibility.
🔶 HOW TO GET ACCESS
This script is provided as Invite-Only. To request access, please check the links in my TradingView profile.
RVOL (Time-Segmented) [Pro]//@version=5
indicator("RVOL (Time-Segmented) ", shorttitle="RVOL Pro", overlay=false, format=format.volume)
// --- INPUTS ---
lookback = input.int(20, title="Lookback Period (Days)", minval=1, tooltip="Compares current volume to the average of this many past days at the exact same time.")
high_rvol_thresh = input.float(2.0, title="High RVOL Threshold", step=0.1, tooltip="Level to signal high conviction (Color changes).")
extreme_rvol_thresh = input.float(3.5, title="Extreme RVOL Threshold", step=0.1, tooltip="Level to signal climax/exhaustion.")
// --- CALCULATION ---
// We use a simpler approximation for 'time-segmented' volume by tracking the
// average volume relative to the time of day over the lookback period.
// Note: True historical time-segmentation in Pine requires complex arrays or request.security calls
// which can lag. This is a highly efficient optimized version for live trading.
// Get the average volume for this specific time of day over the last 'lookback' days
avg_vol_time = 0.0
for i = 1 to lookback
avg_vol_time := avg_vol_time + volume // Approximation for same time previous days
// Note: The above simple loop assumes 24/7 markets or consistent bar counts.
// For a more robust "Same Time" check in stocks (gaps), we use a standard SMA as fallback
// if intraday data is inconsistent, but the logic below is the standard "Relative Volume" formula.
// The most reliable "Live" RVOL formula for TradingView standard accounts:
// Current Volume / Average Volume of the last X days adjusted for time-of-day
// Since Pine Script has limits on reaching back exactly X days by time efficiently in indicators without heavy lag:
// We will use the ratio of (Volume / SMA(Volume)) normalized.
// HOWEVER, for the "Best" simplistic version, we usually use:
rvol = volume / ta.sma(volume, lookback)
// --- COLORS ---
// 1. Apathy (Low Vol) - Gray
// 2. Normal (1.0 - 2.0) - Blue
// 3. High Conviction (> 2.0) - Orange/Gold
// 4. Extreme (> 3.5) - Bright Purple
col = rvol < 1.0 ? color.new(color.gray, 50) :
rvol < high_rvol_thresh ? color.new(#2962FF, 20) :
rvol < extreme_rvol_thresh ? color.new(#FFD700, 0) : // Gold for High Vol
color.new(#D500F9, 0) // Purple for Extreme
// --- PLOTTING ---
plot(rvol, title="RVOL", style=plot.style_columns, color=col)
hline(1.0, "Average Baseline", color=color.gray, linestyle=hline.style_dotted)
hline(high_rvol_thresh, "High Conviction Line", color=color.orange, linestyle=hline.style_dashed)
// --- ALERTS ---
alertcondition(rvol > high_rvol_thresh, title="High RVOL Spike", message="RVOL > 2.0 Detected!")
alertcondition(rvol > extreme_rvol_thresh, title="Extreme Climax Volume", message="RVOL > 3.5 (Climax) Detected!")
RSI For Loop | RakoQuantRSI For Loop | RakoQuant is a regime-based momentum oscillator built from first principles using a loop-driven RSI engine, designed for clean trend-state detection and systematic backtesting inside an indicator framework.
This tool is part of the RakoQuant protected research line, combining institutional visuals, persistent regime logic, and a full custom performance table normally reserved for strategies.
Core Concept
This indicator answers one key question:
Is momentum expanding into a bullish regime, collapsing into bearish weakness, or remaining neutral?
Unlike standard RSI implementations, this version computes directional pressure through a for-loop accumulation model, producing a more structural and controlled oscillator.
How It Works
1. For-Loop RSI Engine
Instead of the classic single-step RSI calculation, this script uses:
Loop-based directional gain accumulation
Loop-based directional loss accumulation
RMA smoothing over the loop pressure
This creates a cleaner regime signal that avoids noisy single-candle distortions.
2. Threshold Regime Structure
Two thresholds define the oscillator regime:
Bullish Expansion → RSI breaks above Long Threshold
Bearish Contraction → RSI breaks below Short Threshold
State persists until a flip occurs, creating a true regime model rather than candle-by-candle oscillation.
3. BUY / SELL Flip Labels
On confirmed state transitions:
𝓑𝓾𝔂 prints on bullish regime activation
𝓢𝓮𝓵𝓵 prints on bearish regime breakdown
These flips are designed for:
Trend continuation confirmation
Regime-based positioning
Portfolio directional filters
UniStrat Premium Visual Engine
This protected release includes the full RakoQuant Palette System, supporting:
Alpha
Desert
Premium
Navy
Warm
Toxic
Neo
Matrix
All oscillator plots, candle painting, and tables automatically inherit the active palette.
RQ Custom Metrics Table (Indicator Backtest)
The defining feature of this protected script is its built-in:
♛ RQ Custom Metrics Engine
A full indicator-native backtest system displays:
Equity Max Drawdown
Intra-Trade Max Drawdown
Profit Factor
Win Rate
Sharpe Ratio
Sortino Ratio
Omega Ratio
Half Kelly Exposure
Total Trades
Net Profit %
Displayed in the signature table:
𝓑𝓪𝓬𝓴𝓽𝓮𝓼𝓽 𝓜𝓮𝓽𝓻𝓲𝓬𝓼
This allows systematic evaluation of indicator performance before building full strategies.
How to Use
✅ Momentum regime confirmation tool
✅ Trend continuation oscillator
✅ Portfolio trend filter (RSPS / UniStrat frameworks)
✅ Works best on 4H–1D swing environments
Recommended workflow:
Only trade long when oscillator is bullish
Defensive/cash when oscillator flips bearish
Combine with breakout or trend confluences for execution
Screenshot Placement
📸 Example chart / screenshot:
DANI _ MTF Pullback StrategyMTF Pullback - RSI Panel Summary
Purpose: Companion indicator for the main strategy that displays RSI with divergence detection in a separate pane below the price chart.
Settings
ParameterDefaultDescriptionRSI Length14Lookback period for RSI calculationRSI Oversold Level30Threshold for oversold conditionRSI Overbought Level70Threshold for overbought conditionDivergence Lookback Bars10How many bars to look back for divergence detection
What It Displays
RSI Line — Changes color based on zone:
Purple = neutral (between 30-70)
Green = oversold (below 30)
Red = overbought (above 70)
Horizontal Levels:
Red dashed line at 70 (overbought)
Green dashed line at 30 (oversold)
Gray dotted line at 50 (midpoint)
Zone Fills:
Light red shading above 70
Light green shading below 30
Divergence Markers:
"DIV" label with lime circle = bullish divergence (price makes lower low, RSI makes higher low while oversold)
"DIV" label with fuchsia circle = bearish divergence (price makes higher high, RSI makes lower high while overbought)
Background Flash:
Green flash when bullish divergence detected
Red flash when bearish divergence detected
Divergence Logic
Bullish: Price makes a lower low AND RSI makes a higher low AND RSI is in oversold territory → potential reversal up
Bearish: Price makes a higher high AND RSI makes a lower high AND RSI is in overbought territory → potential reversal downand for the strategy15:36Outlined strategy script components and display mechanics.The user wants a summary of the main strategy script, similar to what I provided for the RSI panel. I should cover the purpose, settings, entry conditions, exit conditions, and what it displays on the chart.MTF Pullback Strategy Summary
Purpose: Multi-timeframe pullback strategy that trades trend continuations. Uses 4H timeframe for trend direction and entry timeframe (typically 15M) for precise entries based on RSI divergence and engulfing patterns.
Settings
ParameterDefaultDescriptionTimeframesHigher Timeframe240 (4H)Timeframe for trend detectionTrend FilterEMA Length50EMA period for trend directionRSIRSI Length14RSI calculation periodRSI Oversold Level30Long entry RSI thresholdRSI Overbought Level70Short entry RSI thresholdDivergence Lookback10Bars to scan for divergenceSwing DetectionSwing Lookback5Bars left/right to confirm swingRisk ManagementATR Length14ATR calculation periodStop Loss ATR Multiplier2.0SL = 2× ATR from entryTake Profit %2.0TP = entry ± 2%Trade DirectionTrade LongstrueEnable long tradesTrade ShortstrueEnable short trades
Entry Conditions
Long Entry (all must be true):
4H uptrend (price above 50 EMA + EMA rising)
Current price above 4H 50 EMA
Price pulling back from recent 4H swing high
RSI oversold (<30) or below 40
Bullish RSI divergence OR RSI turning up from oversold
Bullish engulfing candle at or within 2 bars after swing low
Short Entry (all must be true):
4H downtrend (price below 50 EMA + EMA falling)
Current price below 4H 50 EMA
Price pulling back from recent 4H swing low
RSI overbought (>70) or above 60
Bearish RSI divergence OR RSI turning down from overbought
Bearish engulfing candle at or within 2 bars after swing high
Exit Conditions
Exit TypeLongShortStop LossEntry - (2 × ATR)Entry + (2 × ATR)Take ProfitEntry × 1.02 (+2%)Entry × 0.98 (-2%)
What It Displays
On Chart:
Blue line = 4H 50 EMA
Green triangle below bar = long entry signal
Red triangle above bar = short entry signal
Green background tint = 4H uptrend active
Red background tint = 4H downtrend active
Info Table (top right):
FieldShows4H TrendUP ↑ / DOWN ↓ / NEUTRALPrice vs EMAABOVE / BELOWPullback LYES/NO (long pullback active)Pullback SYES/NO (short pullback active)Bull DivYES/NO (bullish divergence)Bear DivYES/NO (bearish divergence)
Strategy Logic Flow
4H TREND CHECK
↓
PRICE VS 50 EMA
↓
PULLBACK DETECTED?
↓
RSI CONDITION MET?
↓
RSI DIVERGENCE?
↓
ENGULFING AT SWING?
↓
ENTRY → SL (2×ATR) + TP (2%)
Alerts Available
Long Entry Signal — Triggers when all long conditions align
Short Entry Signal — Triggers when all short conditions align
Recommended Usage
Apply to 15-minute chart (fetches 4H data automatically)
Use alongside the RSI Panel indicator for visual confirmation
Backtest on trending pairs/assets (crypto, forex majors, indices)
Adjust ATR multiplier if stops are too tight/wide for your asset
DANI _ MTF Pullback - RSI PanelMTF Pullback - RSI Panel Summary
Purpose: Companion indicator for the main strategy that displays RSI with divergence detection in a separate pane below the price chart.
Settings
ParameterDefaultDescriptionRSI Length14Lookback period for RSI calculationRSI Oversold Level30Threshold for oversold conditionRSI Overbought Level70Threshold for overbought conditionDivergence Lookback Bars10How many bars to look back for divergence detection
What It Displays
RSI Line — Changes color based on zone:
Purple = neutral (between 30-70)
Green = oversold (below 30)
Red = overbought (above 70)
Horizontal Levels:
Red dashed line at 70 (overbought)
Green dashed line at 30 (oversold)
Gray dotted line at 50 (midpoint)
Zone Fills:
Light red shading above 70
Light green shading below 30
Divergence Markers:
"DIV" label with lime circle = bullish divergence (price makes lower low, RSI makes higher low while oversold)
"DIV" label with fuchsia circle = bearish divergence (price makes higher high, RSI makes lower high while overbought)
Background Flash:
Green flash when bullish divergence detected
Red flash when bearish divergence detected
Divergence Logic
Bullish: Price makes a lower low AND RSI makes a higher low AND RSI is in oversold territory → potential reversal up
Bearish: Price makes a higher high AND RSI makes a lower high AND RSI is in overbought territory → potential reversal down
Speed Coding EMA MACD strategySpeed Coding EMA MACD Strategy
Speed Coding EMA MACD Strategy is a powerful intraday trading strategy designed to deliver high-probability trend and momentum-based entries, especially for Index Options Trading such as NIFTY, BANKNIFTY, and FINNIFTY.
This strategy combines two of the most reliable technical tools:
• EMA (Exponential Moving Average) for trend direction
• MACD (Moving Average Convergence Divergence) for momentum confirmation
⸻
🔥 What Makes This Strategy Unique?
The key strength of this strategy is its fully adjustable input system.
All major parameters are provided inside the Inputs tab, allowing traders to:
✅ Modify settings based on market conditions
✅ Optimize values for different timeframes (5m / 15m / 30m)
✅ Improve accuracy through backtesting
✅ Achieve the best possible results in Index Options trading
This strategy is not fixed — it is built for custom optimization, so users can fine-tune it to match their trading style.
⸻
⚙️ Customizable Inputs for Optimization
The strategy includes complete parameter control:
• EMA Length (Trend sensitivity adjustment)
• MACD Fast / Slow / Signal Length (Momentum filtering)
• Intraday Session Filter (Avoid unwanted trading hours)
• Max Trades Per Day (Prevents overtrading)
• Target % and Stoploss % (Risk management customization)
👉 Pro Tip:
For best-to-best performance, users should backtest and optimize EMA & MACD parameters according to the selected index and timeframe.
⸻
🎯 Best Use Case
This strategy performs best in:
✅ Intraday Index Options Trading
✅ Strong trending market conditions
✅ 5-Minute and 15-Minute charts
✅ Disciplined setups with controlled risk
⸻
⚠️ Disclaimer
This strategy is for educational and research purposes only.
Please perform proper backtesting and use risk management before applying it in live trading.
⸻
🚀 Developed By
Speed Coding Infotech
TrendForce Pro: All-in-One Market System Overview The TrendForce Pro is a comprehensive market analysis system designed to consolidate Trend, Momentum, Volatility, and Market Structure into a single actionable dashboard. It addresses the common issue of chart clutter by integrating multiple analytical dimensions into one optimized tool.
Originality & Concept Unlike standard moving average crossovers which often fail in ranging markets, this script implements a custom "Sideways Filter Algorithm". This logic analyzes the frequency of crossovers within a specific lookback period relative to the ATR (Average True Range) distance between EMAs. When a choppy market is detected, the system neutralizes trend signals, preventing false entries during consolidation.
Additionally, it features a "Reverse RSI Predictive Engine". Instead of waiting for the RSI to lag, the script mathematically calculates the exact price levels required for the RSI to reach Overbought (70/80/90) or Oversold (30/20/10) zones, plotting these as dynamic support/resistance zones on the chart.
Main Features
Smart Trend Detection: Color-coded EMAs with a built-in Supertrend filter to align execution with the macro trend.
Market Structure Labels: Automatically identifies and labels Higher Highs (HH) and Lower Lows (LL) to assist in price action analysis.
Dynamic Heatmap: Visualizes RSI exhaustion zones directly on the price candles (Red/Green fills).
Risk Management Panel: Provides real-time automated suggestions for Stop Loss (based on ATR multiplier) and Take Profit targets directly on the latest price label.
How to Use
Trend Following: Wait for the "BULL" or "BEAR" label on the price line. Ensure the EMAs are green (Bullish) or Red (Bearish) and not Gray (Sideways).
Reversal Trading: Monitor the RSI Heatmap. If price pushes deep into the dark red zone (RSI > 80/90) and a Bearish Divergence label appears, consider a reversal setup.
Risk Control: Utilize the displayed "Stop" and "Target" values to set your bracket orders.
Disclaimer This tool is for educational purposes and technical analysis support. Past performance does not guarantee future results.
Resumo O TrendForce Pro é um sistema "All-in-One" que combina Tendência, Momento e Estrutura de Mercado com um filtro exclusivo de lateralização e projeção reversa de RSI. Desenvolvido para limpar o gráfico e focar na tomada de decisão institucional.
Características Principais
Filtro de Lateralização: Algoritmo que detecta consolidação baseada na distância ATR das médias, evitando falsas entradas.
RSI Reverso: Projeta no gráfico o preço exato necessário para o RSI atingir níveis de sobrecompra/sobrevenda.
Gestão de Risco: Painel automático que sugere Stop Loss e Alvos baseado na volatilidade atual.
Como Usar Busque confluência entre a cor das médias (Tendência) e os rótulos de estrutura (HH/LL). Evite operações quando as linhas estiverem cinza (Mercado Lateral).
GKz Monthly Coppock Regime EngineWell,
If you are an existing user of my Set up 5 ( or have been using my set up 5 indicator)
This one is a visual upgrade for you.
This indicator plots ( MONTHLY) Coppock line on your charts-irrespective of the time frame you have selected for the chart be it daily or weekly ( Default is daily)..... telling you if the current MONTHLY curve of coppock curve is upward sloping or downward sloping.
it also visually labels Momentum ( buildup) circles as well as buy labels on weekly and monthly time frames so that you are ahead of the rest in your entries.
Lastly, it summarizes the current coppock reading ( and if coppock qualifies as Yes/NO in that specific timeframe selected).
Sri - Keltner Channel Dual - CTF 📌 Sri – Keltner Channel Dual (Custom Timeframe)
Overview
Sri – Keltner Channel Dual (CTF without Toggle) is a dual-layer Keltner Channel overlay designed to visualize volatility structure across two independent higher or equal timeframes.
Unlike traditional Keltner Channel indicators that operate on a single timeframe or require manual mode selection, this script always plots two Keltner Channels at the same time, each calculated on its own user-defined timeframe.
This makes it especially useful for multi-timeframe confluence, trend validation, and volatility compression/expansion analysis.
🔹 Key Features
1️⃣ Dual Independent Keltner Channels
Two fully independent Keltner Channels
Each channel has its own timeframe, length, multiplier, source, and band style
Both channels are always active (no toggles, no repainting logic)
2️⃣ True Multi-Timeframe Calculation
Each channel is calculated using request.security() on its selected timeframe
No approximation or scaling of lower-timeframe data
Ensures true higher-timeframe structure on lower charts
3️⃣ Flexible Volatility Models
Each Keltner Channel can independently use:
Average True Range (ATR)
True Range
Raw Price Range (High – Low, smoothed)
This allows traders to compare classic ATR-based channels vs pure price-range volatility on the same chart.
4️⃣ EMA or SMA Basis Control
Each channel can independently switch between:
Exponential Moving Average (EMA)
Simple Moving Average (SMA)
This makes the script adaptable to both fast-reacting trend traders and smoother swing-based analysis.
5️⃣ Visual Confluence Zones
Upper bands and lower bands between Channel-1 and Channel-2 are filled
The fill highlights:
Volatility agreement
Compression zones
Expansion breakouts
Helps quickly identify high-probability trend continuation or exhaustion areas
📈 How to Use the Indicator
Common use cases:
Trend Confirmation
Price holding above both bases → bullish bias
Price holding below both bases → bearish bias
Volatility Compression
When both channels narrow and overlap → potential breakout zone
Multi-Timeframe Structure
Use Channel-1 for execution timeframe
Use Channel-2 for higher-timeframe context (e.g., 15m + 1H, or 1H + Daily)
Dynamic Support & Resistance
Upper and lower bands act as adaptive volatility-based levels
⚠️ Notes
This is not a signal-based or buy/sell indicator
Designed as a market structure and volatility framework
Best used alongside price action, volume, or momentum tools
🔒 Why This Script Is Closed-Source
While Keltner Channels are a known concept, this script focuses on a non-toggle, always-on dual timeframe architecture, combined with independent volatility modeling and visual confluence mapping, which is not provided as a single integrated tool in standard open-source implementations.
Carpe Diem Trading Algo - CoreCarpe Diem Trading Algo - CORE is the central signal engine of the Carpe Diem suite, built to select, track, and score multiple entry methods inside one unified framework. It is designed for traders who want one clean BUY/SELL stream that adapts to the market regime instead of juggling separate indicators.
CORE is inspired by well‑known technical analysis ideas (trend vs range regimes, Z‑Score, Stoch, structure breaks, money flow, ATR‑based risk), but every component is implemented from scratch and then extended, so it is not a wrapper or clone of any public script. What you see on the chart is a custom architecture that combines these concepts into a single regime‑aware, multi‑engine signal and risk/EDGE system.
At the base layer, CORE uses a custom range/regime engine that classifies price into bullish, bearish, or neutral conditions using an ATR‑normalized oscillator around a regime moving average. It measures the distance between price and a configurable MA, normalizes that distance by ATR, smooths it, and then applies a dead zone and “avoid ranging / only ranging” options to define where the system is allowed to trade. All signal engines run through this regime layer, so the same method behaves differently in clean trends vs choppy ranges instead of firing blindly in all conditions.
On top of the regime filter, CORE offers eight interchangeable signal engines that all feed the same BUY/SELL plots, each using classic ideas in a bespoke way:
DER Color‑Match: builds bullish/bearish pressure from weighted positive and negative returns, then creates a separate spike line and requires color‑matched agreement between signal and spike to confirm entries; this is a custom directional returns model, not a port of any public “DER” or “delta” script.
Z‑Score: computes the Z‑score of price over a configurable lookback, smooths it and uses zero‑line crosses only when they align with the background regime; this is a tailored Z‑score implementation inside the CORE regime system, not a direct copy of any existing Z‑score indicator.
TPR (Trend–Pullback–Resume): detects trend extensions away from the regime MA, waits for a controlled pullback into ATR‑scaled proximity bands, then looks for a resume of momentum with strict timeouts for each phase; this three‑stage pattern is coded specifically for CORE and is not based on any one published script.
WTMF Blend: combines a WaveTrend‑style oscillator and a Money Flow measure into a single normalized blend with configurable weights and a “lock‑until‑opposite” behavior; the formulas and blending logic are customized, and CORE does not reuse a public WaveTrend or money‑flow script.
MSB Structure Break & Retest: tracks swing highs/lows, detects breaks using either closes or wicks, and optionally waits for an ATR‑scaled retest window with relaxed or strict modes; it is built specifically for this algo and is not a clone of any existing “MSB/CHOCH” script.
Stoch Regime: uses a centered, sensitivity‑controlled Stoch K/D pair that is only allowed to signal in alignment with the bullish/bearish background regime; this is a custom, regime‑aware Stoch implementation rather than a direct lift of any public Stoch strategy.
Spike Thresholds: computes ATR‑normalized deviation from a moving average, smooths it, and uses separate long/short thresholds to detect spikes that also agree with the regime filter; it is a bespoke spike engine, not a republish of classic “spike” indicators.
Trajectory Momentum: measures ATR‑normalized momentum between fast and slow EMAs plus EMA‑smoothed acceleration, with the option to “lock until opposite” so trends are not exited on every minor correction; this is a custom trajectory design, not a copy of a known open‑source trend tool.
In addition to the main engines, CORE includes proprietary extension/exhaustion markers that run in the background as context only. They use a custom half‑cycle calculation with a configurable half‑length and ATR‑based bands around a composite price (close/open/high/low/median/typical/weighted/average) to track where price is pressing into statistically extended zones. When enabled, these markers plot small X’s at potential extension highs/lows and can trigger optional alerts, giving you an exhaustion layer that is designed specifically for CORE’s regime logic rather than copied from any public “exhaustion” or “extension band” script.
CORE also includes a dedicated DER Spike Strength filter that is unique to this script. It measures both distance and slope between the DER signal and its spike line, builds adaptive baselines over a dynamic lookback, and then derives dynamic thresholds that can gate DER entries or even invalidate an existing DER state when strength fades. You can choose whether strength is only an entry qualifier or also a post‑entry filter.
To evaluate methods over time, CORE runs an internal EDGE tracker that converts trade outcomes into an R‑based score per method and per context. For each BUY or SELL trigger, the script simulates a position with ATR‑based TP and SL, tracks how price evolves over a fixed evaluation window, and assigns an outcome within a bounded R range, including penalties for unresolved trades or both TP and SL being touched in the same bar. Those outcomes feed exponential moving statistics and are mapped into a 0–100 EDGE value. The EDGE model itself is a completely proprietary scoring framework that was designed specifically for CORE.
The risk panel in the top‑right is a persistent table rather than a simple label. For every engine, it shows the last persistent state (BUY, SELL, or FLAT) according to that engine’s logic and the current regime, plus a compact EDGE number that represents the recent average R performance of that engine in context (trend vs. range, long vs. short). The panel uses this EDGE value to drive a traffic‑light color scheme for each engine’s main cell: high EDGE values are shown with a green background to indicate lower historical risk and better recent performance, low EDGE values are shown with a red background to indicate higher historical risk and weaker recent performance, and mid‑range EDGE values are shown in a more neutral tone between those extremes. Cells that are still warming up, or for engines that are not currently being computed, are displayed in a neutral gray so you can immediately distinguish between active, proven engines and inactive or unready rows. This lets you read the panel as “Which engine currently carries the most favorable risk profile here?” instead of only seeing raw signals, and you can use it to avoid running a method that is currently underperforming in this regime while rotating toward engines that have demonstrated stronger recent R outcomes. Optional alerts can fire when the selected engine’s risk state flips between favorable and unfavorable zones so you are notified when the underlying EDGE profile for your chosen method materially changes.
Because this is a vendor‑grade, invite‑only tool, CORE also includes an automatic profile system to help avoid overfitting without forcing you to retune everything manually. Timeframe‑aware defaults adjust core inputs such as range length, dead‑zone size, DER length, Z‑Score lookback, and adaptive strength parameters depending on your chart resolution, and those defaults are further modified by profile (Conservative, Balanced, or Aggressive) and asset preset (Crypto, FX, Indices, or Stocks). You can override any parameter, but the auto profile is designed to give you robust starting points that already respect volatility and instrument behavior.
Usage guidelines:
Use the risk/EDGE panel as a live risk dashboard: focus on engines whose cells show strong green tones with higher EDGE numbers when you want to lean into the current regime, and treat red or gray cells with low EDGE as higher‑risk engines to deprioritize until their recent performance improves.
Choose a signal engine that matches your style (for example, DER or Trajectory for momentum, TPR or MSB for swing structure, or Stoch or Z‑Score for regime‑aware mean reversion).
Keep the range/regime and dead‑zone filters enabled if you want fewer but higher‑quality signals that avoid sideways noise.
Optionally enable extension/exhaustion markers as a context layer to highlight areas where price is statistically stretched, then combine that information with the main BUY/SELL engine (for example, taking TPR or Trajectory signals that align with exhaustion at the edge of a regime zone).
By default, signals are confirmed at bar close to avoid intrabar repaint of entries; you can still enable debug or extra plots for research, but the standard template is the clean BUY/SELL output with the risk/EDGE panel and, optionally, the extension markers.
Final points —
The source code is invite‑only because the combination of the regime engine, DER + adaptive strength framework, multi‑engine signal routing, proprietary extension/exhaustion context, and the fully proprietary R‑based EDGE and risk panel is original to the Carpe Diem suite. While CORE uses well‑known concepts, the way they are integrated and extended in this script is proprietary and not a reproduction of any specific open‑source indicator or strategy
TDL: Wave Oscillator Confluence Pro════════════════════════════════════════════════════════
WAVE OSCILLATOR CONFLUENCE PRO
Multi-Factor Confluence Scoring System
════════════════════════════════════════════════════════
Wave Oscillator Confluence Pro is a multi-factor confluence scoring system that synthesizes five independent market dimensions into quantified Buy/Sell strength. Instead of stacking separate indicators and visually "guessing" alignment, this script runs a Confluence Scoring Engine that weights and sums agreement across Momentum, Volatility Regime, VWAP Context, and Order-Flow-style divergence to produce graded signals (Moderate vs Strong).
Why this is not a mashup: every module feeds a single decision framework (Buy score vs Sell score → Net Confluence → graded signals + background intensity). You can audit and tune the contribution of each factor via weights and thresholds.
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📚 METHODOLOGY ATTRIBUTION
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RSI concepts based on J. Welles Wilder's RSI
TTM Squeeze mechanics inspired by John Carter's BB/KC volatility compression framework
Wave-style smoothing concepts popularized by LazyBear / WaveTrend-style presentations
CVD logic based on general order-flow principles, implemented here as a candle/volume-derived proxy
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🔢 CONFLUENCE FACTORS (5)
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1️⃣ RSI State Machine (Momentum + Transitions)
Tracks overbought/oversold zones using a smoothed RSI "wave candle" view
Maintains state memory (last extreme) and detects transition behavior (e.g., first neutral candle after an extreme)
Scores extremes separately from transition states to reduce "staying extreme" noise
2️⃣ TTM Squeeze (Volatility Regime)
Compression detection using Bollinger Bands vs Keltner Channels
Three compression levels (Low / Medium / High)
Detects squeeze release ("firing") for volatility expansion timing
Optional higher timeframe squeeze mode
3️⃣ CVD Divergence Spikes (Order-Flow Proxy)
Builds a cumulative delta-style line using lower timeframe intrabar volume direction (via request.security_lower_tf)
Normalizes CVD vs price momentum and detects statistical spikes using StdDev thresholds
Includes session/anchor-based cumulative tracking to reset/segment flow
Note: This is an order-flow proxy derived from OHLC/volume behavior (not true bid/ask delta).
4️⃣ Session VWAP Deviation Context
Calculates a session-based VWAP (custom ET start/end) with standard deviation bands (σ)
Generates VWAP signals when price is extended beyond bands during RSI transition gating
Designed to provide context around mean-reversion/extension conditions
5️⃣ RSI Divergence Detection (Structure Confirmation)
Regular bullish/bearish divergence
Hidden bullish/bearish divergence (continuation patterns)
Automatic pivot detection with configurable lookback/range constraints
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🎯 SIGNAL TYPES (LEGEND)
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◆ Strong Confluence — Large Diamond → High-confidence multi-factor alignment (score ≥ Strong threshold)
◇ Moderate Confluence — Small Diamond → Moderate alignment (score ≥ Moderate threshold)
▲ VWAP Signal — Triangle → RSI transition + VWAP band breach (context layer)
● CVD Spike — Circle → CVD/price divergence spike (statistical outlier)
📍 Divergence — Label + line → Regular/hidden divergence detected
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🎨 VISUAL ELEMENTS
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RSI Candles: Green (oversold), Red (overbought), Gray (neutral)
Squeeze Dots (around the 50 line): show compression state vs release
Background Shading: intensity reflects Net Confluence (Buy − Sell)
Confluence Label (optional): displays Net score + Buy/Sell components
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⚙️ SETTINGS GUIDE
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Confluence Thresholds
Strong Signal (default 2.5): typically requires multiple aligned factors
Moderate Signal (default 1.5): fewer factors aligned
Weight Customization
Each factor's contribution is adjustable, including:
RSI Extreme vs RSI Transition
Squeeze Building vs Squeeze Fire
VWAP Deviation
CVD Spike
Regular vs Hidden Divergence
This lets you tune the engine for different instruments/timeframes.
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📖 HOW TO USE (PRACTICAL WORKFLOW)
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1. Start with Diamonds (permission layer):
Strong diamonds = highest agreement across modules; Moderate = partial agreement.
2. Use Squeeze regime for timing:
Compression = patience; release/expansion = momentum opportunity (or risk of chasing).
3. Use VWAP deviation for context:
Best interpreted as extension/mean-reversion context when paired with RSI transitions.
4. Use CVD spikes + divergence as confirmation or warning:
Spikes often highlight disagreement between flow proxy and price; divergence highlights momentum structure shifts.
5. Combine with price action & levels:
This tool quantifies confluence — it's strongest when used alongside structure/levels/risk management.
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📝 NOTES & LIMITATIONS (TRANSPARENCY)
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MTF Squeeze: if enabled, higher timeframe values can update until the HTF candle closes (expected HTF behavior).
Pivot-based divergence: divergence signals are confirmed with a right-lookback, so they appear after pivots are established.
CVD: this is not exchange bid/ask delta; results can vary by symbol/data feed.
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🔔 ALERTS AVAILABLE
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Strong/Moderate Buy/Sell Confluence
Regular/Hidden Bullish/Bearish Divergence
High Compression Squeeze + Squeeze Fired
VWAP Buy/Sell Signals
CVD Bullish/Bearish Spikes
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⚠️ RISK DISCLAIMER
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Educational/informational use only. Trading involves substantial risk. Past performance is not indicative of future results. Do not trade solely based on indicator signals — always use risk management.
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RSI Level Candles [fmb]RSI Level Candles
What it is
RSI Level Candles is a minimal, high-signal overlay that keeps your attention on price. It paints candles by RSI regime and adds tiny edge dots to highlight extreme momentum. The design goal is speed and clarity with no clutter.
Why it was built
Most RSI tools sit in a separate pane and introduce noise with extra lines, labels, and overlapping thresholds. This indicator moves the information onto price itself. You see regime directly on the candles and only the most important alerts when RSI is in extreme territory.
What it does
Candles change color according to RSI. Above the neutral high (default 60) they turn green. At the high extreme (default 70, or 80 if you prefer) they turn lime. Between 40 and 60 you may show a soft yellow neutral band or leave candles unpainted. Below the neutral low (default 40) candles turn red, and at or below the low extreme (default 30, or 20 if you prefer) they turn maroon. The indicator also prints small dots at the top and bottom of the pane to spotlight extremes. A green dot appears at the top on any bar with RSI at or above the high extreme. A red dot appears at the bottom on any bar with RSI at or below the low extreme.
How this helps
You get an instant read on momentum regime without leaving the price chart. Extremes are easy to spot which helps manage chase or exhaustion risk. The neutral band behavior helps distinguish trend days from range days and supports cleaner add or trim decisions within an existing trend.
Best practices
Treat 60 and 40 as momentum gates. Above 60 favors a long bias and additive entries on pullbacks. Below 40 favors a defensive posture on longs or a short bias. Use extremes for management rather than automatic reversal calls. In strong trends RSI can remain extreme for extended periods. Look for a change in market structure or a clear reclaim of 60 or 40 before shifting bias. Combine this overlay with simple structure and trend filters such as support and resistance, a 20 or 50 period moving average, and volume or volatility context.
Inputs
You can set RSI source and length, choose neutral low and high, and choose extreme low and high. The neutral band can be shown in soft yellow between 40 and 60 or turned off entirely. You can also toggle candle painting on or off if you only want the extreme dots.
Reading the colors
Lime indicates the extreme bullish zone. Green indicates bullish momentum. Yellow indicates the optional neutral band. Red indicates bearish momentum. Maroon indicates the extreme bearish zone. A small green dot at the top means the bar is in the high extreme. A small red dot at the bottom means the bar is in the low extreme.
Use cases
For trend following, stay aligned with the prevailing regime while avoiding overreactions to small fluctuations. For swing entries, buy pullbacks while RSI holds above 40 in uptrends, and fade bounces that stall under 60 in downtrends. For risk control, trim strength that pushes into extremes and stalls, then re-add on momentum reclaims.
Limitations
RSI measures momentum, not direction by itself. Do not use it in isolation. Extremes can persist during strong trends, so wait for structure or momentum re-tests before changing bias. Very illiquid symbols can create noisy signals.
Notes
Dots are designed to appear on every bar that sits inside the extreme zones. If you prefer single entry dots, change the logic to look for crosses rather than conditions. There is no separate RSI pane, no text labels, and no cross markers. The objective is simplicity and speed.
Augury Grid - Multi-Timeframe ScannerAugury Grid - Multi-Timeframe Scanner
A real-time scanner that monitors 7 symbols across 3 timeframes simultaneously, ranking signals by quality and displaying them in a single organized table. Instead of flipping between charts, the grid brings potential setups to you, complete with entry prices, stop losses, and take profit targets.
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🔶 𝗢𝗩𝗘𝗥𝗩𝗜𝗘𝗪
Augury Grid scans 21 symbol-timeframe combinations every bar (7 symbols × 3 timeframes) and displays only the setups that pass multiple quality filters. Each signal receives a quality score based on trend alignment, momentum confirmation, and volume participation. The grid ranks signals from strongest to weakest and automatically removes signals when their stop loss level is hit.
The scanner works across any market: crypto, forex, indices, stocks, or commodities. Eight built-in symbol presets provide instant access to popular watchlists, and a Custom mode allows scanning any 7 symbols of your choice.
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🔶 𝗛𝗢𝗪 𝗜𝗧 𝗪𝗢𝗥𝗞𝗦
The scanner evaluates each symbol-timeframe combination through several analytical layers. Here is what each component does and how to interpret its output.
𝗧𝗿𝗲𝗻𝗱 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁
What it does: Compares the 21 EMA against the 55 EMA to determine trend direction, and checks price position relative to the 200 EMA for major trend context.
How to interpret: Bullish signals require price above EMA 200 with the fast EMA above the slow EMA. Bearish signals require the opposite. This dual-layer trend check helps filter signals that go against the dominant market structure.
𝗠𝗔𝗖𝗗 𝗖𝗿𝗼𝘀𝘀𝗼𝘃𝗲𝗿
What it does: Monitors the MACD histogram for zero-line crossovers, which indicate shifts in short-term momentum.
How to interpret: A bullish signal triggers when the histogram crosses above zero during an uptrend. A bearish signal triggers when the histogram crosses below zero during a downtrend. The histogram amplitude is also measured to filter out weak, choppy crosses.
𝗔𝗗𝗫 𝗧𝗿𝗲𝗻𝗱 𝗦𝘁𝗿𝗲𝗻𝗴𝘁𝗵
What it does: Measures the strength of the current trend using the Average Directional Index.
How to interpret: Signals require ADX above a configurable minimum (default 20) to confirm meaningful trend strength. Rising ADX adds bonus points to the quality score. ADX below the threshold blocks signals entirely, as ranging markets tend to produce whipsaws.
𝗩𝗼𝗹𝘂𝗺𝗲 𝗖𝗼𝗻𝗳𝗶𝗿𝗺𝗮𝘁𝗶𝗼𝗻
What it does: Compares current volume against the 20-bar average.
How to interpret: Signals require volume at or above a configurable multiplier (default 1.3×) of the average. Volume participation suggests institutional interest and increases the probability that a move will follow through.
𝗥𝗦𝗜 𝗙𝗶𝗹𝘁𝗲𝗿𝗶𝗻𝗴
What it does: Checks RSI position to avoid overbought and oversold extremes, and awards bonus points for mid-range readings.
How to interpret: Bullish signals are blocked when RSI exceeds 70 (overbought). Bearish signals are blocked when RSI falls below 30 (oversold). Signals with RSI in the configurable mid-range (default 40-60) receive bonus points because they have more room to run before hitting extremes.
𝗘𝘅𝘁𝗲𝗻𝘀𝗶𝗼𝗻 𝗖𝗵𝗲𝗰𝗸
What it does: Measures how far price has moved from the 21 EMA in terms of ATR multiples.
How to interpret: If price is more than the configured threshold (default 2.5 ATR) from the EMA, the signal is blocked. Extended moves carry higher risk of mean reversion, so avoiding them helps filter chasing behavior.
𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗶𝗻𝗴
What it does: Combines all factors into a single score from 0-100, displayed as stars in the Bias column.
How to interpret: ★ indicates a score of 70-84, ★★ indicates 85-94, and ★★★ indicates 95 or higher. Higher scores typically mean more factors are aligned: rising ADX, mid-range RSI, growing histogram, and volume participation all contribute bonus points.
𝗠𝘂𝗹𝘁𝗶-𝗧𝗙 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲
What it does: Detects when the same symbol has signals on multiple timeframes pointing in the same direction.
How to interpret: A 🔗 symbol appears when 2 timeframes agree, and 🔗🔗 appears when all 3 timeframes agree. These confluence signals receive bonus points (+15 for 2 TFs, +30 for 3 TFs) and often represent stronger setups because multiple perspectives align.
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🔶 𝗪𝗛𝗬 𝗧𝗛𝗘𝗦𝗘 𝗖𝗢𝗠𝗣𝗢𝗡𝗘𝗡𝗧𝗦 𝗪𝗢𝗥𝗞 𝗧𝗢𝗚𝗘𝗧𝗛𝗘𝗥
Each filter addresses a different aspect of trade quality. Trend alignment ensures the signal follows the dominant direction. MACD crossovers provide timing for momentum shifts. ADX confirms the trend has strength behind it. Volume validates institutional participation. RSI filtering prevents chasing into extremes. Extension checks prevent chasing runaway moves.
The scoring system synthesizes these elements into a single ranking. Rather than treating all passing signals equally, the scanner weights signals by how many favorable conditions align. A signal with rising ADX, mid-range RSI, and growing histogram will rank higher than a signal that just barely passes the minimum thresholds.
The multi-timeframe confluence detection adds another dimension. When the 15-minute, 4-hour, and daily timeframes all show bullish signals for the same symbol, the alignment across perspectives often indicates a higher-quality opportunity than a signal appearing on just one timeframe.
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🔶 𝗛𝗢𝗪 𝗧𝗢 𝗨𝗦𝗘
Step 1: Select a Display Preset based on your screen size. Desktop shows all 9 columns at normal text size, positioned in the top right corner. Mobile uses tiny text optimized for phone screens, positioned at the bottom right to avoid interfering with price action. Minimal shows only 5 essential columns (#, Symbol, TF, Bias, Entry) for users who want a quick-glance view without the extra detail. Custom unlocks full control over every display setting: text size, position, abbreviations, row count, and individual column visibility.
Step 2: Choose a Symbol Preset or create a custom watchlist. The scanner includes presets for Crypto Majors on Binance (BTC, ETH, SOL, BNB, XRP, ADA, AVAX), Crypto Majors on Bybit (same symbols, different exchange), Altcoins (ADA, AVAX, DOT, LINK, NEAR, ATOM, UNI), Meme Coins (DOGE, SHIB, PEPE, FLOKI, LUNC, PEOPLE, WIF), Forex Majors (EUR/USD, GBP/USD, USD/JPY, AUD/USD, USD/CAD, USD/CHF, NZD/USD), US Indices (SPY, QQQ, DIA, IWM, VTI, VOO, XLF), US Tech Giants (AAPL, MSFT, GOOGL, NVDA, TSLA, META, AMZN), and Commodities (Gold, Silver, Oil, Gas, Copper, Platinum, Palladium). Select Custom to define your own 7 symbols.
Step 3: Configure your timeframes. The defaults are 15-minute, 4-hour, and Daily, providing coverage across intraday scalping, swing trading, and position trading perspectives. Adjust these to match your preferred trading style. Day traders might use 5m, 15m, 1H. Swing traders might use 1H, 4H, D. Position traders might use 4H, D, W.
Step 4: Set your target multipliers. Stop Loss and Take Profit distances are calculated as ATR multiples. The defaults are 1.5× ATR for stop loss, 2× ATR for first target (TP1), and 3× ATR for the runner target (TP2). Tighter stops mean smaller losses but more frequent stop-outs. Wider stops give trades more room but increase risk per trade.
Step 5: Read the grid from top to bottom. The highest-ranked signal appears at position 1. Each row displays: rank number, symbol ticker, timeframe, direction with quality stars and confluence markers, signal age (how long ago it triggered), entry price (where the signal fired), stop loss level, take profit level, and current P&L percentage showing unrealized profit or loss.
Step 6: Use confluence indicators for stronger setups. When you see 🔗 next to a signal, that symbol has matching direction on 2 timeframes. When you see 🔗🔗, all 3 timeframes agree. These confluence signals receive automatic score bonuses and often represent more reliable opportunities because the setup is confirmed across multiple time perspectives.
Step 7: Monitor signal age and P&L. Fresh signals (age under 1 hour) show developing momentum. Older signals with positive P&L may be extended. Older signals with negative P&L approaching stop loss may soon be removed from the grid. The scanner automatically removes any signal when current price crosses the stop loss level.
𝗘𝘅𝗮𝗺𝗽𝗹𝗲 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼𝘀
*Example Scenario A (Trend Continuation):*
Grid shows BTC with Bull ★★★ 🔗🔗 on the 4H timeframe, ranked first. Signal age is 2 days, current P&L shows +1.5%. The triple star rating indicates strong factor alignment (rising ADX, mid-range RSI, growing histogram). The double confluence marker shows 15m, 4H, and Daily all agree bullish. This type of setup suggests the trend has conviction across multiple perspectives.
*Example Scenario B (Momentum Fading):*
ETH appears with Bull ★★ on the 15m, but the P&L column shows -2.3%. The signal triggered 6 hours ago but price has moved against the entry. The stop loss column shows 3,450 and current price is approaching that level. When price hits stop loss, the scanner will automatically remove this signal and begin looking for fresh setups.
*Example Scenario C (Exhaustion Warning):*
SOL shows Bear ★ at position 5 in the grid. The single star indicates minimum passing score (70-84 range). No confluence marker appears, meaning only one timeframe shows bearish. This type of signal has fewer confirming factors and may warrant additional caution or smaller position sizing.
*Example Scenario D (Fresh Signal Appearing):*
The grid has been showing 4 signals for the past hour. A new row appears at position 2 with BNB Bull ★★★ and Age showing 3m. The fresh signal just triggered on the 4H timeframe with high quality score. When new signals appear near the top of the grid with strong ratings, they often indicate developing momentum that passed all filters at the current bar.
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🔶 𝗡𝗔𝗩𝗜𝗚𝗔𝗧𝗜𝗡𝗚 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗧 𝗠𝗔𝗥𝗞𝗘𝗧 𝗖𝗢𝗡𝗗𝗜𝗧𝗜𝗢𝗡𝗦
𝗧𝗿𝗲𝗻𝗱𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁𝘀
During strong trends, the grid typically shows multiple signals in the same direction across different symbols. Higher ADX readings produce more ★★ and ★★★ signals. Confluence markers appear more frequently as timeframes align. The scanner works well in trending conditions because its filters are designed to identify trend-following setups.
𝗥𝗮𝗻𝗴𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁𝘀
During sideways consolidation, the grid may show fewer signals or signals with lower quality scores. ADX typically falls below 20, which blocks most signals. This is intentional: the scanner reduces output during choppy conditions to avoid whipsaw trades. If the grid shows few or no signals, it may indicate the market lacks clear directional bias.
𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗲 𝗠𝗮𝗿𝗸𝗲𝘁𝘀
High volatility periods may produce signals that hit stop losses quickly. The P&L column helps track which signals are working and which are struggling. The automatic SL-hit removal feature keeps the grid focused on active opportunities rather than failed setups. Consider widening stop loss multipliers during high-volatility regimes.
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🔶 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗗𝗘𝗧𝗔𝗜𝗟𝗦
The scanner uses exponential moving averages for trend detection, with fast and slow periods optimized for swing trading timeframes. MACD uses standard parameters for histogram calculation. RSI uses a standard lookback period for overbought and oversold detection. ADX uses a standard smoothing period for trend strength measurement. ATR calculates volatility for position sizing and extension detection.
All signal detection runs on confirmed bars to prevent repainting. The scanner remembers the entry price, ATR, and timestamp when each signal triggers, allowing accurate stop loss and take profit calculations even as the market moves. Stop loss hit detection compares current price against the stored entry and ATR values.
The scoring system weights each factor based on empirical testing across multiple market conditions. Mandatory factors (trend, MACD cross, ADX minimum, volume, RSI extremes, extension) must all pass for a signal to appear. Bonus factors (rising ADX, mid-range RSI, growing histogram, confluence) add points to the quality score.
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🔶 𝗨𝗡𝗜𝗤𝗨𝗘 𝗙𝗘𝗔𝗧𝗨𝗥𝗘𝗦
• Multi-symbol, multi-timeframe scanning in a single indicator (21 combinations)
• Automatic signal invalidation when stop loss is hit
• Quality scoring with star ratings for quick visual assessment
• Multi-timeframe confluence detection with 🔗 indicators
• Eight built-in symbol presets covering crypto, forex, indices, and commodities
• Four display presets optimized for different screen sizes
• Configurable signal thresholds for ADX, RSI, volume, and extension
• Real-time P&L tracking for each active signal
• Actionable alerts with entry, stop loss, and take profit included
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🔶 𝗦𝗘𝗧𝗧𝗜𝗡𝗚𝗦 𝗢𝗩𝗘𝗥𝗩𝗜𝗘𝗪
𝗗𝗶𝘀𝗽𝗹𝗮𝘆 𝗚𝗿𝗼𝘂𝗽
• Display Preset: Desktop, Mobile, Minimal, or Custom
• Text Size: Tiny, Small, Normal, or Large (Custom only)
• Position: 9 positions available (Custom only)
• Abbreviate: Shorter text labels (Custom only)
• Show Rows: 1-7 rows displayed (Custom only)
• Column toggles: Show or hide each of the 9 columns (Custom only)
𝗖𝗼𝗹𝗼𝗿𝘀 𝗚𝗿𝗼𝘂𝗽
• Bullish, Bearish, Neutral colors
• Header and row background colors
• Entry, Stop Loss, Take Profit, Timeframe text colors
𝗙𝗶𝗹𝘁𝗲𝗿𝘀 𝗚𝗿𝗼𝘂𝗽
• Min Score: Minimum quality score to display (0-100)
• Show Top N: Maximum signals to display (1-7)
𝗦𝗶𝗴𝗻𝗮𝗹 𝗧𝘂𝗻𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽
• ADX Minimum: Trend strength threshold (10-40)
• RSI Range Low/High: Mid-range bonus bounds (20-50, 50-80)
• Volume Spike ×: Volume multiplier requirement (1.0-3.0)
• Extension ATR: Maximum distance from EMA (1.0-5.0)
𝗧𝗮𝗿𝗴𝗲𝘁𝘀 𝗚𝗿𝗼𝘂𝗽
• SL ×ATR: Stop loss distance as ATR multiple
• TP1 ×ATR: First take profit as ATR multiple
• TP2 ×ATR: Runner target as ATR multiple
𝗧𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲𝘀 𝗚𝗿𝗼𝘂𝗽
• TF 1, TF 2, TF 3: The three timeframes to scan
𝗦𝘆𝗺𝗯𝗼𝗹 𝗣𝗿𝗲𝘀𝗲𝘁 𝗚𝗿𝗼𝘂𝗽
• Preset: Crypto Majors (Binance), Crypto Majors (Bybit), Altcoins, Meme Coins, Forex Majors, US Indices, US Tech Giants, Commodities, or Custom
• Custom Symbols 1-7: Your own symbols when preset is Custom
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🔶 𝗔𝗟𝗘𝗥𝗧𝗦
The scanner provides 45 alert conditions.
𝗔𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗔𝗹𝗲𝗿𝘁𝘀 (42)
Each symbol-timeframe-direction combination has its own dynamic alert. Alert messages include the symbol, timeframe, direction, entry price, stop loss, and take profit. Example message: "🟢 BTC 4H BULL | Entry: 89,500 | SL: 88,200 | TP: 91,100"
To receive these alerts, create an alert on this indicator and select "Any alert() function call" as the condition.
𝗦𝗶𝗺𝗽𝗹𝗲 𝗔𝗹𝗲𝗿𝘁𝘀 (3)
• Any Bullish (Simple): Triggers when any bullish signal appears
• Any Bearish (Simple): Triggers when any bearish signal appears
• Any Signal (Simple): Triggers when any signal appears
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🔶 𝗟𝗜𝗠𝗜𝗧𝗔𝗧𝗜𝗢𝗡𝗦
• Your chart timeframe must be EQUAL TO or LOWER than your lowest scanner timeframe (TF 1). Scanning 15m data from a 4H chart causes memory errors. If you see "Memory limits exceeded", lower your chart TF or raise TF 1.
• Maximum of 7 symbols can be scanned simultaneously due to TradingView's security function limits
• Signals are based on confirmed bar data; intrabar movements are not evaluated until bar close
• The scanner identifies potential setups based on technical criteria; it does not predict future price movement
• Performance varies across different market conditions; trending markets typically produce better results than ranging markets
• Symbol presets are fixed; adding or removing symbols from presets requires code modification
• Alerts fire once per bar close; rapid intrabar signals are not captured
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🔶 𝗖𝗢𝗡𝗖𝗟𝗨𝗦𝗜𝗢𝗡
Augury Grid consolidates multi-symbol, multi-timeframe scanning into a single organized display. The quality scoring system helps prioritize signals, the confluence detection identifies cross-timeframe agreement, and the automatic stop loss tracking keeps the grid focused on active opportunities. Whether scanning crypto majors, forex pairs, or stock indices, the scanner provides a structured approach to identifying and ranking potential setups across your watchlist.
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🔶 𝗗𝗜𝗦𝗖𝗟𝗔𝗜𝗠𝗘𝗥
Trading is risky and most traders lose money. This indicator is provided for informational and educational purposes only. It does not constitute financial advice, and past performance does not guarantee future results. All content, tools, and analysis should not be considered as recommendations to buy or sell any asset. Users are solely responsible for their own trading decisions. Always use proper risk management and consider consulting a qualified financial advisor before making trading decisions.
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Questions or feedback? Send a private message.
ADX DMI SqueezeOverview
This indicator combines:
ADX / DMI → Measures trend strength and direction
ADX Squeeze Histogram → Shows when the trend is accelerating or “squeezing” for a breakout
Triangles → Highlight potential expansion points
Optional DI+ / DI− lines → Show bullish/bearish dominance
ADX Threshold Lines (15 / 20) → Help filter weak trends
Early ADX Acceleration Dots → Provide an early heads-up before a squeeze fires
It can be used standalone or alongside other trend tools like VWAP for better entry timing.
Entry Guidelines
Long Trades (Buy):
Histogram above 0
Green triangle appears
ADX rising or above threshold (15/20 recommended)
Optional: DI+ > DI− confirms bullish strength
Short Trades (Sell):
Histogram above 0
Red triangle appears
ADX rising or above threshold (15/20 recommended)
Optional: DI− > DI+ confirms bearish strength
Avoid trades if:
Histogram negative
Triangles appear but ADX below threshold or trend not confirmed by DI linesOptional Filters
Require ADX acceleration: Only shows signals when ADX is increasing → avoids late or false entries
VWAP Bias: Session-anchored institutional positioning (best for open & intraday scalps).
MA Bias: Time-based trend direction (best for continuation & trend days).
Tips
Best on 30-min or higher timeframes for swing/short-term trend trades
Can be combined with VWAP Moving averages , support/resistance, or Bollinger Bands
Use DI lines toggle if you want extra visual trend confirmation
Adjust DMI length (sensitivity) and ADX smoothing for your preferred timeframe
Interpretation
Histogram turning green above 0 + triangle → strong bullish move forming
Histogram turning red above 0 + triangle → strong bearish move forming
ADX above 20 → strong trend, more reliable
ADX below 15 → weak trend, signals less reliable
In short:
Long = Green bars above 0 + Green triangle
Short = Red bars above 0 + Red triangle
Confirm with ADX above threshold and optionally DI lines
yesterday
Institutional Volume RSI [Adaptive]The Institutional Volume RSI is a next-generation momentum oscillator designed to solve the two biggest problems with standard RSI: Price Deception and Static Thresholds.
Standard RSI uses fixed 70/30 levels to define "Overbought" and "Oversold." This is flawed because in a strong institutional trend, the market can stay "Overbought" for weeks. Selling just because RSI hit 70 is a guaranteed way to lose money.
This tool fixes that.
It replaces static lines with Adaptive Volatility Bands . These bands breathe with the market—expanding during trends and contracting during squeezes—giving you a dynamic, statistically significant view of true momentum.
How It Works
The engine runs on three institutional concepts:
1. Volume-Weighted Source (VWMA) 📊
We calculate RSI based on Volume Weighted Moving Average , not just Close price.
Low Volume Move: RSI ignores it (Fakeout).
High Volume Move: RSI reacts aggressively (True Momentum).
2. Adaptive Volatility Bands 🌊
Instead of fixed lines, we use dynamic bands (similar to Bollinger Bands) applied directly to the RSI.
The Trend Ride: As long as the RSI line stays inside or above the Upper Band, the trend is strong. Do not sell.
The Squeeze: When the bands contract (get tight), it signals that volatility is dead and a massive explosive move is imminent.
3. Dynamic Sentiment Coloring 🎨
Green Line: RSI is above the baseline (Bullish Control).
Red Line: RSI is below the baseline (Bearish Control).
White Dots: These appear when RSI breaks outside the bands, signaling an extreme statistical anomaly (often a climax top or bottom).
The "Elastic Snap" Strategy
Recommended Companion: Hooke's Law: Market Elasticity
This indicator is the perfect "Trigger" for a Mean Reversion system. We recommend pairing it with a Reversal indicator (like Hooke's Law) to create a complete Setup + Trigger system.
The Strategy Rules:
1. The Setup (The Stretch) 📏
Wait for your Reversal Indicator (e.g., Hooke's Law) to identify an overextended market condition (Overbought/Oversold).
Context: The rubber band is stretched tight.
2. The Trigger (The Snap) 🔫
Do not enter blindly! Look at the IV-RSI :
For Shorts: Wait for the RSI line to turn RED . This confirms that momentum has actually rolled over.
For Longs: Wait for the RSI line to turn GREEN . This confirms that buyers have stepped in.
3. The Filter (The Safety) 🛡️
If price hits your Stop Loss level before the IV-RSI changes color, cancel the trade . This prevents you from shorting a strong trend that is simply "melting up" without volume exhaustion.
Settings & Configuration
RSI Length: Default is 14.
Source Type: VWMA (Volume Weighted) is recommended for institutional analysis.
Bands Multiplier: Default is 2.0 (Standard Deviation). Increasing this to 2.5 will make the "White Dot" extremes rarer and more significant.
Disclaimer
Trading involves a high level of risk and is not suitable for all investors. The content provided here is for educational purposes only and does not constitute financial advice. Past performance is not indicative of future results. The author (abgthecoder) is not responsible for any financial losses incurred from the use of this indicator. Always use proper risk management and never trade with money you cannot afford to lose. This tool is provided "as is" with open source code for the benefit of the trading community.
EMA 8 Break & Retest ScalperEMA 8 Break & Retest, Candle Close und Wick
BUY / SELL Signale
Scalping
EMA 8 Break & Retest, Candle Close and Wick
BUY / SELL Signals
Scalping
