Adjusted OBVThis script shows On-Balance Volume adjusted for volume weighted candle body size.
This means that the wick lengths, body length, and sell/buy pressure are calculated into percentages of volume that contributed to each.
The body volume is the accumulatively tracked across candles to give a more accurate On-Balance Volume that has been traded to achieve the current price over time.
The script output is in Orange and for comparison the original technical OBV is in Blue.
As this is my first script, I hope to update it to include a 'buy' and 'sell' pressure gauge to perhaps turn this from a mere indicator into potentially a bit more predictive.
In the meantime, it should be useful for tracking OBV for other uses in a more accurate and less volatile way.
Cari dalam skrip untuk "track"
RedK Compound Ratio Moving Average (CoRa_Wave)
Compound Ratio Weighted Average (CoRa_Wave) is a moving average where the weights increase in a "logarithmically linear" way - from the furthest point in the data to the current point - the formula to calculate these weights work in a similar way to how "compound ratio" works - you start with an initial amount, then add a consistent "ratio of the cumulative prior sum" each period until you reach the end amount. The result is, the "step ratio" between the weights is consistent - This is not the case with linear-weights moving average (WMA), or EMA
- for example, if you consider a Weighted Moving Average (WMA) of length 5, the weights will be (from the furthest point towards the most current) 1, 2, 3, 4, 5 -- we can see that the ratio between these weights are inconsistent. in fact, the ratio between the 2 furthest points is 2:1, but the ratio between the most recent points is 5:4 -- the ratio is inconsistent, and in fact, more recent points are not getting the best weights they should/can get to counter-act the lag effect. Using the Compound ratio approach addresses that point.
a key advantage here is that we can significantly reduce the "tail weight" - which is "relatively" large in other MAs and would be main cause for lag - giving more weights to the most recent data points - and in a way that is consistent, reliable and easy to "code"
- the outcome is, a moving average line that suffers very little lag regardless of the length, and that can be relied on to track the price movements and swings closely.
other features:
===============
- An accelerator, or multiplier, has been added to further increase the "aggressiveness" of the moving average line, giving even more weights to the more recent points - the multiplier will have more effect between 1 and 5, then will have a diminishing effect after that - note that a multiplier of 0 (which effectively causes a comp. ratio of 0 to be applied) will produce a Simple Moving Average line :)
- We also added the ability to use an "automatic smoothing" mechanism, that user can over-ride by manually choosing how much smoothing is used. This gives more flexibility to how we can leverage this Moving Average in our charting.
- User can also select the Resolution and Source price for the CoRa_Wave. by default, they will be set to "same as chart" and hlc3
here are the formulas for our Compound Ratio moving average:
Compound Weight ratio r = (A/P)^1/t - 1
Weight at time t A = P(1 + r)^t
= Start_val * (1 + r) ^ index
index in the above formula is 0 for the furthest point out
Here's how CoRa_Wave compares to other common moving averages all set to the same length (20)
Proposed Usage
- CoRa_Wave can be used for any scenarios where we need a moving average that closely tracks the price, trend, swings with high responsiveness and little lag
- MA Cross-over scenarios - against another CoRa_Wave or any other MA
- below is a quick example scenario for how to utilize 2 CoRa_Wave lines of same length (one for open and one for closing price) to track swings and trends
- get as creative as you need :)
Code is commented - please feel free to leverage or customize further as you need.
👉 if you are interested in other moving averages i posted before, please check out the FiMA and the v_Wave ...
Session High and Session LowI have heard many people ask for a script that will identify the high and low of a specific session. So, I made one.
Important Note: This indicator has to be set up properly or you will get an error. Important things to note are the length of the range and the session definition. The idea is that you would set it up for what's relevant to your trading. Going too far back in the chart history will cause errors. Setting the session for a time that is not on the chart can cause errors. If you set it to look farther back than there are bars to display, you may get an error. What I've found is that if you get an error, you just need to change the settings to reflect available data and it will be able to compile the script. At the time of its publishing, the default range start is set to 10/01/2020. If you're looking at this years later, you'll probably have to set the range to something more recent.
Features:
Plot or Lines:
Using Plot (displayed), the indicator will track the high/low from the end of the session into the next session. Then at the start of the next session, it will start tracking the high/low of that session until its end, then track that high/low until the start of the next session then reset.
Using lines, it will extend horizontal lines to the right indefinitely. The number of sessions back that the lines apply to is a user-defined number of sessions. There are limits to the number of lines that can be cast on a chart (roughly 40-50). So, the maximum number of sessions you can apply the lines to is the last 21 sessions (42 lines total). That gets really noisy though so I can't imagine that is a limiting factor.
Colors:
You can change the background color and its transparency, as well as turn the background color on or off.
You can change the highs and lows colors
You can adjust the line width to your preference
Session Length:
You can use a continuous session covering any user-defined period (provided its not tooooo many candles back)
You can define the session length for intraday
You can exclude weekends
Display Options:
You can adjust the colors, transparency, and linewidth
You can display the plotline or horizontal lines
You can show/hide the background color.
You can change how many sessions back the horizontal lines will track
Let me know if there's anything this script is missing or if you run into any issues that I might be able to help resolve.
Here's what it looks like with Lines for the last 5 sessions and different background color.
RSI Trend Authority [JOAT]RSI Trend Authority - VAR-RSI with OTT Trend Detection System
Introduction
RSI Trend Authority is an open-source overlay indicator that combines Variable Index Dynamic Average (VAR) smoothed RSI with the Optimized Trend Tracker (OTT) to create a complete trend detection and signal generation system. Unlike traditional RSI which oscillates in a separate pane, this indicator scales the RSI to price and overlays it directly on your chart, making trend analysis more intuitive.
The indicator generates clear BUY and SELL signals when the smoothed RSI crosses the OTT trailing stop line, providing actionable entry points with trend confirmation.
Originality and Purpose
This indicator is NOT a simple mashup of RSI and moving averages. It is an original implementation that transforms RSI into a trend-following overlay system:
Why VAR Smoothing? Traditional RSI is noisy and produces many false signals. The Variable Index Dynamic Average (VAR) is an adaptive smoothing algorithm based on the Chande Momentum Oscillator principle. It adjusts its smoothing factor based on market conditions - responding quickly during trends and smoothing out during choppy markets. This creates an RSI that filters noise while preserving genuine momentum shifts.
Why OTT Trailing Stop? The Optimized Trend Tracker (OTT) is a percentage-based trailing stop mechanism that only moves in the direction of the trend. When VAR-RSI crosses above OTT, a bullish trend is confirmed; when it crosses below, a bearish trend is confirmed. This provides clear, actionable signals rather than subjective interpretation.
Price Scaling Innovation: By scaling RSI (0-100) to price using the formula (RSI * close / 50), the indicator overlays directly on the price chart. This allows traders to see how momentum relates to actual price levels, making trend analysis more intuitive than a separate oscillator pane.
ATR Boundaries: Optional volatility-based boundaries show when price is extended relative to its normal range, helping identify potential reversal zones.
How the components work together:
VAR smoothing removes RSI noise while preserving trend information
OTT provides a dynamic trailing stop that generates clear crossover signals
Price scaling allows direct overlay on the chart for intuitive analysis
ATR boundaries add volatility context for profit target estimation
Core Components
1. VAR-RSI (Variable Index Dynamic Average RSI)
The foundation of this indicator is the VAR smoothing algorithm applied to RSI. VAR is an adaptive moving average that adjusts its smoothing factor based on the Chande Momentum Oscillator principle:
f_var_calc(float data, int length) =>
int a = 9
float b = data > nz(data ) ? data - nz(data ) : 0.0
float c = data < nz(data ) ? nz(data ) - data : 0.0
float d = math.sum(b, a)
float e = math.sum(c, a)
float f = nz((d - e) / (d + e))
float g = math.abs(f)
float h = 2.0 / (length + 1)
float x = ta.sma(data, length)
This creates an RSI that:
Responds quickly during trending conditions
Smooths out during choppy, sideways markets
Reduces false signals compared to raw RSI
2. OTT (Optimized Trend Tracker)
The OTT acts as a dynamic trailing stop that follows the VAR-RSI:
In uptrends, OTT trails below the VAR-RSI line
In downtrends, OTT trails above the VAR-RSI line
The OTT Percent parameter controls how closely it follows
When VAR-RSI crosses above OTT, a bullish trend is confirmed. When VAR-RSI crosses below OTT, a bearish trend is confirmed.
3. Price Scaling
The RSI (0-100 scale) is converted to price scale using:
float scaleFactor = close / 50.0
float varRSIScaled = varRSI * scaleFactor
This allows the indicator to overlay directly on price, showing how momentum relates to actual price levels.
Visual Components
VAR-RSI Line (Cyan/Magenta)
The main indicator line with gradient coloring:
Cyan gradient when RSI is above 50 (bullish)
Magenta gradient when RSI is below 50 (bearish)
Line thickness of 3 for clear visibility
OTT Line (Yellow Circles)
The trailing stop line displayed as circles:
Acts as dynamic support in uptrends
Acts as dynamic resistance in downtrends
Crossovers generate trading signals
Trend Fill
The area between VAR-RSI and OTT is filled:
Cyan fill during bullish trends
Magenta fill during bearish trends
Fill transparency allows price visibility
Buy position and LONG on Dashboard with a Uptrend:
ATR Boundaries (Optional)
Dotted lines showing volatility-based price boundaries:
Upper band: Close + (ATR x Multiplier)
Lower band: Close - (ATR x Multiplier)
Color matches current trend direction
Buy/Sell Signals
Clear labels appear at signal points:
BUY label below bar when VAR-RSI crosses above OTT
SELL label above bar when VAR-RSI crosses below OTT
Additional glow circles highlight signal bars
Bar Coloring
Optional feature that colors price bars:
Cyan bars during bullish trend
Magenta bars during bearish trend
Dashboard Panel
The 8-row dashboard provides comprehensive status information:
Signal: Current position - LONG or SHORT (large text)
VAR-RSI: Current smoothed RSI value (large text)
RSI State: OVERBOUGHT, OVERSOLD, BULLISH, or BEARISH
OTT Trend: UPTREND or DOWNTREND based on OTT direction
Bars Since: Number of bars since last signal
Price: Current close price (large text)
OTT Level: Current OTT trailing stop value
Input Parameters
RSI Settings:
RSI Length: Period for RSI calculation (default: 100)
Source: Price source (default: close)
VAR Settings:
VAR Length: Adaptive smoothing period (default: 50)
OTT Settings:
OTT Period: Trailing stop calculation period (default: 30)
OTT Percent: Distance percentage for trailing stop (default: 0.2)
ATR Trend Boundaries:
Show ATR Boundaries: Toggle visibility (default: enabled)
ATR Length: Period for ATR calculation (default: 14)
ATR Multiplier: Distance multiplier (default: 2.0)
Display Options:
Show Buy/Sell Signals: Toggle signal labels (default: enabled)
Show Status Table: Toggle dashboard (default: enabled)
Table Position: Choose corner placement
Color Bars by Trend: Toggle bar coloring (default: enabled)
Color Scheme:
Bullish Color: Main bullish color (default: cyan)
Bearish Color: Main bearish color (default: magenta)
OTT Line: Trailing stop color (default: yellow)
VAR-RSI Line: Main line color (default: teal)
ATR colors for boundaries
How to Use RSI Trend Authority
Signal-Based Trading:
Enter LONG when BUY signal appears (VAR-RSI crosses above OTT)
Enter SHORT when SELL signal appears (VAR-RSI crosses below OTT)
Use the OTT line as a trailing stop reference
Trend Confirmation:
Cyan fill indicates bullish trend - favor long positions
Magenta fill indicates bearish trend - favor short positions
Check RSI State in dashboard for momentum context
Using the Dashboard:
Monitor "Bars Since" to assess signal freshness
Check RSI State for overbought/oversold warnings
Use OTT Level as a reference for stop placement
ATR Boundaries:
Price near upper ATR band in uptrend suggests extension
Price near lower ATR band in downtrend suggests extension
Boundaries help identify potential reversal zones
Parameter Optimization
For Faster Signals:
Decrease RSI Length (try 50-80)
Decrease VAR Length (try 30-40)
Decrease OTT Period (try 15-25)
For Smoother Signals:
Increase RSI Length (try 120-150)
Increase VAR Length (try 60-80)
Increase OTT Period (try 40-50)
For Tighter Stops:
Decrease OTT Percent (try 0.1-0.15)
For Wider Stops:
Increase OTT Percent (try 0.3-0.5)
Alert Conditions
Three alert conditions are available:
Buy Signal: VAR-RSI crosses above OTT
Sell Signal: VAR-RSI crosses below OTT
Trend Change: OTT direction changes
Understanding the OTT Calculation
The OTT uses a percentage-based trailing mechanism:
float farkOTT = mavgOTT * ottPercent * 0.01
float longStopCalc = mavgOTT - farkOTT
float shortStopCalc = mavgOTT + farkOTT
longStop := mavgOTT > nz(longStop ) ? math.max(longStopCalc, nz(longStop )) : longStopCalc
shortStop := mavgOTT < nz(shortStop ) ? math.min(shortStopCalc, nz(shortStop )) : shortStopCalc
This ensures the trailing stop only moves in the direction of the trend, never against it.
Best Practices
Use on 1H timeframe or higher for more reliable signals
Wait for signal confirmation before entering trades
Consider RSI State when evaluating signal quality
Use ATR boundaries for profit target estimation
The longer RSI length (100) provides smoother trend detection
Combine with support/resistance analysis for better entries
Limitations
Signals may lag during rapid price movements due to smoothing
Works best in trending markets; may whipsaw in ranges
The overlay nature means RSI values are scaled, not absolute
Default parameters are optimized for crypto and forex; adjust for other markets
Technical Notes
This indicator is written in Pine Script v6 and uses:
VAR (Variable Index Dynamic Average) for adaptive smoothing
OTT (Optimized Trend Tracker) for trailing stop calculation
ATR for volatility-based boundaries
Gradient coloring for intuitive trend visualization
The source code is open and available for review and modification.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
-Made with passion by officialjackofalltrades
BTC - CII: Drawdown DNA | RMBTC - CII: Drawdown DNA | Rob_Maths
The "Broken Cycle" Series: Pt 1
Welcome to the debut of the Cycle Integrity Index (CII) . This quantitative diagnostic suite was engineered for a singular mission: to determine if Bitcoin’s historical 4-year cycle is still the primary track rhythm, or if the market has shifted into a high-downforce Institutional Regime.
As of January 2026 , the Bitcoin market is at a historical crossroads. According to the classical 4-year model, we have passed the "Theoretical Peak" and are now on the long descent toward a projected cycle low in late 2026 . However, a massive debate is raging: Is the cycle broken?
While legacy models expect a total engine failure (an -80% wipeout) by the end of this year, the ETF-era market structure suggests we may have "re-engineered" the asset's DNA. Pt 1: Drawdown DNA acts as our first telemetry check, auditing the "Structural Fatigue" of every correction to see if we are taking a tactical pit stop or heading for a catastrophic crash.
How to Read the Telemetry
Think of the Bitcoin market as a Formula 1 engine. This indicator audits the "Wear and Tear" (drawdowns) to see if the chassis can sustain its pace or if the structural integrity is failing as we approach the legacy "finish line."
• Vibrant Green (Institutional Sync): Optimal Performance. The engine is healthy. Pullbacks are shallow (-20% to -35% range), representing professional re-fueling stops by smart money. This suggests the "Supercycle" narrative is overriding the 4-year clock.
• Red/Dark Blue (Regime Decay): Loss of Traction. The "Institutional" heartbeat is weakening. Volatility is rising as the engine stalls, drifting back toward the chaotic, un-buffered "Drift" patterns of the retail era.
• Blue Shaded Zones (Legacy DNA): SYSTEMIC CRASH. The price has breached the -50% "G-Force Threshold." At this depth, the correction carries the genetic makeup of a Legacy Bear Market (historically bottoming near -80%). The 4-year cycle is still very much alive—and it's painful.
Behind the Math: ECU Tuning
This script is an original quantitative work utilizing Gaussian Probability Density logic to categorize market drawdowns into distinct historical regimes.
Instead of simple binary "on/off" logic, the code acts like an ECU (Electronic Control Unit) , calculating the mathematical "fit" of the current drawdown against a specific Institutional Mean (-25%) . Why 25%? I chose -25% as the Institutional DNA anchor based on the structural shift observed between 2023 and 2025. While legacy retail cycles were defined by violent 30-40% "shakeouts" during bull phases, the introduction of spot ETFs and corporate treasury adoption has significantly compressed volatility. A -25% correction now represents the maximum "healthy" absorption of sell-side liquidity by institutional "bids." Staying near this level maintains high aerodynamic sync; dropping further suggests the chassis is failing.
How it Audits the Regime
The closer the price stays to this -25% target, the higher the Integrity Score (10/10). By providing unique "DNA Match" calculations and background shading based on specific threshold crossings, this indicator provides utility beyond standard price-change indicators. It allows you to mathematically distinguish between an "Institutional Rebalancing" and the start of a "Legacy Cycle-Ending Termination."
User Inputs & Navigation
• Rolling High Lookback: Default 52 Weeks . Defines our diagnostic lap. It ensures the audit focuses on the current race, not the entire history of the track.
• Inst. Drawdown Target: Default -25% . The "Perfect Pit Stop." Corrections near this level maintain the highest aerodynamic sync.
• Legacy Threshold: Default -50% . The "Point of No Return" where the engine enters total failure and the Blue Legacy Shading triggers.
• Legacy Crash Target: Default -80% . The historical baseline for previous 4-year cycle bear market floors (Expected mid-to-late 2026 in legacy models).
Instructions & Performance
• Preferred Timeframe: This is a macro-telemetry tool. It performs best on Weekly (1W) or Daily (1D) charts.
• The Dashboard: Monitor the INST. DNA MATCH in the table. A score of 8.0+ / 10 provides the "Green Light" that the Supercycle is still the primary driver, effectively breaking the 4-year "Crash" script.
Disclaimer
Trading and investing in digital assets involve significant risk. The Cycle Integrity Index (CII) is a quantitative tool for informational and educational purposes only. Past performance does not guarantee future results. This is not financial advice. Your capital is at risk.
Tags
robmaths, Rob Maths, Bitcoin, CycleTheory, Institutional, Drawdown, Quant, RegimeShift, CII
Check out my published scripts here: de.tradingview.com
Crypto Swing Pro [All-in-One] v2 [R2D2]1. Introduction
Crypto Swing Pro (CSP) is a professional-grade technical analysis suite designed for high-volatility cryptocurrency markets. It consolidates the top five institutional-grade indicators—RSI, EMAs, OBV, MACD, and Bollinger Bands—into a single overlay.
New in v2.0: The script now includes a fully integrated Alert System. You no longer need to stare at the chart all day. You can set the script to email you or ping your phone exactly when a MACD Cross occurs or when Volatility Squeezes, ensuring you never miss a move.
2. Installation
1. Open TradingView: Go to your chart.
2. Open Pine Editor: Click the tab at the bottom of the screen.
3. Paste Code: Delete existing code and paste the v2.0 script above.
4. Save: Name it CSP v2.
5. Add to Chart: Click "Add to Chart".
3. How to Set Up Alerts
This is the most powerful feature of v2.0. You can set alerts for specific conditions without needing to write code.
1. Click the "Alert" Button: Located on the top menu bar of TradingView (looks like an alarm clock).
2. Condition: In the "Condition" dropdown menu, select CSP v2.
3. Select Trigger: A second dropdown will appear. Choose the specific signal you want to track:
MACD Buy Signal: Triggers when MACD crosses bullish.
RSI Oversold (<30): Triggers when price is mathematically cheap.
Volatility Squeeze: Triggers when a big move is imminent.
Price Cross Over 200 EMA: Triggers on major trend reversals.
4. Options: Select "Once Per Bar Close" (Recommended to avoid false signals during the candle fluctuation).
5. Notify: Check "Notify in App" or "Send Email".
6. Create: Click Create. You will now be notified even if you are asleep.
4. The Dashboard (HUD)
The on-screen table gives you an instant "Health Check" of the asset.
Indicator Status Meaning
RSI (14) Green (<30) Oversold. Look for long entries.
Red (>70) Overbought. Look to take profit.
MACD BULLISH Momentum is up.
TREND UPTREND Price is above the 200 EMA (White Line).
VOLATILITY SQUEEZE CRITICAL: Market is coiling. A breakout is coming soon.
VOLUME ACCUMULATION Whales are buying (OBV is rising).
5. Configuration & Visuals
Hover over the indicator name on the chart and click the Settings (Gear) icon.
Toggle Indicators: Uncheck any indicator (like Bollinger Bands or EMA 20) to hide them if you want a cleaner view. The Dashboard will still calculate them in the background.
Dashboard Position: Move the table to any corner or turn it off entirely if it blocks your price view.
Color Themes: Adjust the RSI background colors or EMA colors to fit your chart theme (Light/Dark mode).
6. Best Practices
The "Squeeze" Play: If you get a Volatility Squeeze alert, do not enter immediately. Wait for the price to break out of the Bollinger Bands. The squeeze is the "Get Ready" signal; the breakout is the "Go" signal.
The "Trend" Filter: If the 200 EMA (White Line) is above the price (Downtrend), ignore all "MACD Buy" alerts. Trade with the macro trend, not against it.
Portfolio P&L Table 10 SlotsOverview
This indicator displays a compact, Excel-style position P&L table directly on your TradingView chart. It is designed to help traders track unrealized profit/loss for a manually-entered position and ensure the calculations only apply to the symbols you actually trade, preventing confusion when switching between tickers.
The script is symbol-aware: it checks the current chart symbol against up to 10 user-defined position slots and shows P&L only when a match is found.
Core Concept
Most P&L scripts on TradingView rely on a single set of inputs (average price, quantity), which remains active even when the user changes chart symbols. That can lead to incorrect P&L displays on instruments where no position exists.
This indicator solves that by combining:
Symbol matching logic (ticker / exchange:ticker / base ticker normalization)
Slot-based position storage (up to 10 positions)
Dynamic real-time P&L calculations driven by the chart’s live price
As a result, the table behaves like a “position panel” that follows the chart, while respecting your actual holdings list.
Matching & Display Logic
Symbol Detection
The indicator compares the current chart symbol to each slot’s symbol using multiple matching methods to reduce false mismatches:
Full symbol (EXCHANGE:TICKER)
Ticker only (TICKER)
Normalized “base ticker” extraction (useful when your chart format differs from inputs)
Position Selection
The first matching slot is selected and displayed.
If no slot matches, the table shows “No position for this symbol” and does not output P&L values.
P&L Calculation Logic
When a valid slot is matched and its values are valid:
Unrealized Gross P&L
Long: (Last Price − Avg Price) × Quantity
Short: (Avg Price − Last Price) × Quantity (handled via direction multiplier)
Unrealized Net P&L (optional)
If fees are enabled, the script subtracts the slot’s total fees from gross P&L.
P&L %
Calculated relative to average price, direction-adjusted for long/short positions.
Breakeven Price
Without fees: breakeven = average price
With fees: breakeven is adjusted using fees / quantity and direction.
The table updates automatically with market movement because all values are recalculated from the chart’s current price.
Inputs and Defaults
General
Include Fees? (default: Off)
Text Size
Table Position (Top/Bottom, Left/Right)
Slots (1 → 10)
Each slot contains:
Symbol (example formats: NVTS, NASDAQ:NVTS, NYSE:PATH)
Side (Long / Short)
Average Price
Quantity
Total Fees (optional; applied only when “Include Fees” is enabled)
Colors (Fully Customizable)
The table supports user-defined colors for:
Header text/background
Body text/background
Positive P&L color
Negative P&L color
Neutral/no-position color
This allows you to match the table visually to any chart theme.
The indicator is intended for :
Quick P&L visibility while charting
Avoiding accidental P&L “carry over” when switching symbols
Tracking a shortlist of positions without external spreadsheets
If you trade more than 10 tickers regularly, the script can be extended further using the same slot architecture.
Limitations
Values are unrealized and based on the chart’s price (close/last available feed).
The script does not track multiple lots per symbol automatically; each slot represents a single consolidated position (avg + total qty).
Disclaimer
This script is provided for educational and analytical purposes only. It does not constitute financial advice, investment recommendations, or an invitation to trade. Trading involves risk, and past performance does not guarantee future results. Always verify your position data and calculations independently before making trading decisions.
Pivot Levels [BigBeluga]🔵 OVERVIEW
The Pivot Levels indicator automatically detects and draws key market pivot levels across multiple sensitivity settings. Each pivot level represents a significant local high or low in price structure, acting as potential zones of support and resistance. Traders can visualize short-, medium-, and long-term pivot layers simultaneously, helping to identify where price may react, reverse, or break out.
🔵 CONCEPTS
Different pivot lengths provide multi-length sensitivity on the same timeframe — shorter lengths detect local micro-swings, while longer lengths capture broader swing structure within the current chart.
ATR-based color logic marks active, bullish, or bearish pivot zones dynamically.
Lines can extend to the right or both sides to track reactions over time.
🔵 FEATURES
Detects up to four custom pivot levels simultaneously.
Each pivot level has independent settings for length , style , and extension mode .
Auto-colors each pivot as support (green), resistance (orange), or active zone (blue).
Displays dual-width line layers: a solid base and a transparent overlay for visual depth.
Dynamic price labels show exact pivot levels for clarity.
Fully customizable line styles: dashed (--), solid (-), or dotted (..).
Extends lines to the right for future reaction tracking or both directions for structure alignment.
🔵 HOW TO USE
Enable or disable pivot levels (1–4) to control how many layers of structure you want visible.
Use shorter pivot lengths for intraday turning points and longer ones for macro structure.
Watch for multiple pivot lines clustering in the same region — these often mark strong reversal zones.
Observe color changes: green = support, orange = resistance, blue = active neutral zone.
Combine with price action or volume analysis to confirm reactions near major pivots.
🔵 CONCLUSION
The Pivot Levels indicator provides a clean, multi-layered visualization of market structure.
By tracking pivots of varying lengths, traders can easily identify overlapping support and resistance regions, gauge breakout strength, and align trades with the dominant structural zones visible across multiple time horizons.
Simple Gap IndicatorTitle: Simple Gap Indicator
Description: This is a utility script designed to automate the tracking and management of price gaps (also known as "Windows") on the chart. Unlike static drawings, this indicator dynamically monitors open gaps and automatically "closes" them (stops drawing) once price has filled the area, keeping your chart clean and focused on active levels only.
Why Use This Tool? Traders often mark gaps manually, but charts quickly become cluttered with old, invalid levels. This script solves that problem by using an array-based management system to track every open gap in real-time and remove it the moment it is invalidated by price action.
Technical Methodology:
Gap Detection: The script identifies "Full Gaps" where the Low of the current candle is higher than the High of the previous candle (Bullish), or vice versa (Bearish). This indicates a total disconnect in price delivery.
Dynamic Filtering:
ATR Filter: Users can filter out insignificant "noise" gaps by setting a minimum size threshold based on the Average True Range (ATR).
Time Filter: Option to restrict gap detection to specific session hours (e.g., ignoring overnight gaps on 24h charts).
Auto-Closure: The script loops through all active gaps on every new bar. If the current price wick touches an open gap, the box is visually terminated at that specific bar index and removed from the tracking array.
Visuals:
Green Box: Bullish Gap (Support Zone).
Red Box: Bearish Gap (Resistance Zone).
Labels: Optional text displaying the precise Top/Bottom price coordinates of the gap.
How to Use:
Enable "Auto-Close Gap on Retest" to keep your chart clean.
Use the ATR Filter if you are getting too many signals on lower timeframes (e.g., set to 0.5x ATR).
Set alerts for "New Gap" or "Gap Filled" to automate your workflow.
Credits: Calculations based on standard Gap/Window price action theory. Array management logic custom-coded for Pine Script v6.
EMA Market Structure [BOSWaves]EMA Market Structure - Trend-Driven Structural Mapping with Adaptive Swing Detection
Overview
The EMA Market Structure indicator provides an advanced framework for visualizing market structure through dynamically filtered trend and swing analysis.
Unlike conventional EMA overlays, which merely indicate average price direction, this model integrates trend acceleration, swing highs/lows, and break-of-structure (BOS) logic into a unified, visually intuitive display.
Each element adapts in real time to price movement, offering traders a living map of support, resistance, and trend bias that reacts fluidly to market momentum.
The result is a comprehensive, trend-aware representation of price structure.
EMA slope and acceleration guide trend perception, while swing points identify key inflection zones.
Breaks of prior highs or lows are highlighted with visual BOS labels and stop-loss projections, giving traders actionable context for continuation or reversal setups.
Unlike static lines or simple moving averages, the EMA Market Structure indicator fuses dynamic trend analysis with structural awareness to provide a clear picture of market bias and potential turning points.
Theoretical Foundation
The EMA Market Structure builds on principles of momentum filtering and structural analysis.
Standard moving averages track average price but ignore acceleration and context; this indicator captures both the directional slope of the EMA and its rate of change, providing a proxy for trend strength.
Simultaneously, swing detection identifies statistically significant highs and lows, while BOS logic flags decisive breaks in structure, aligned with trend direction.
At its core are three interacting components:
EMA Trend & Acceleration : Smooths price data while highlighting acceleration changes, producing gradient-driven color cues for trend momentum.
Swing Detection Engine : Identifies swing highs and lows over configurable bar lengths, ensuring key turning points are captured with minimal clutter.
Break-of-Structure Logic : Detects price breaches of previous swings and aligns them with EMA trend for actionable BOS signals, including projected stop-loss levels for tactical decision-making.
By integrating these elements, the system scales effectively across timeframes and assets, maintaining structural clarity while visualizing trend dynamics in real time. Traders receive both macro and micro perspectives of market movement, with clear cues for trend continuation or reversal.
How It Works
The EMA Market Structure indicator operates through layered processing stages:
EMA Slope & Acceleration : Calculates the EMA and its rate of change, normalizing via ATR and a smoothing function to produce gradient color coding. This allows instant visual identification of bullish or bearish momentum.
Swing Identification : Swing highs and lows are computed using configurable left/right bar lengths, filtered through a cool-off mechanism to prevent redundant signals and maintain chart clarity.
Structural Lines & Zones : Swing points are connected with lines, and shaded zones are drawn between successive highs/lows to highlight key support and resistance regions.
Break-of-Structure Detection : BOS events occur when price breaches a prior swing in alignment with the EMA trend. Bullish and bearish BOS signals include enhanced label effects and projected stop-loss lines and zones, providing immediate tactical reference.
Dynamic Background Mapping : The chart background adapts to EMA trend direction, reinforcing trend context with subtle visual cues.
Through these processes, the indicator creates a living, adaptive map of market structure that reflects both trend strength and swing-based inflection points.
Interpretation
The EMA Market Structure reframes market reading from simple trend following to structured awareness of price behavior:
Uptrend Phases : EMA is rising with positive acceleration, swings confirm higher lows, and BOS events occur above prior highs, signaling trend continuation.
Downtrend Phases : EMA slope is negative, swings form lower highs, and BOS events occur below prior lows, confirming bearish bias.
Trend Reversals : Flat or decelerating EMA with BOS failures may indicate impending structural change.
Critical Zones : Swing-based lines and shaded zones highlight areas where price may pause, reverse, or accelerate, providing high-probability decision points.
Visually, EMA color gradients, structural lines, and BOS labels combine to provide both statistical trend confirmation and actionable structural cues.
Strategy Integration
EMA Market Structure integrates seamlessly into trend-following and swing-based trading systems:
Trend Alignment : Confirm higher-timeframe EMA slope before entering continuation trades.
BOS Entry Triggers : Use BOS events aligned with EMA trend for tactical entries and stop placement.
Support/Resistance Mapping : Swing lines and zones help define areas for scaling, exits, or reversals.
Volatility Context : ATR-based smoothing and stop-loss buffers accommodate varying market volatility, ensuring robustness across conditions.
Multi-Timeframe Coordination : Combine higher-timeframe EMA trend and swings with lower-timeframe structural events for precision entries.
Technical Implementation Details
Core Engine : EMA slope and ATR-normalized acceleration for gradient-driven trend visualization.
Swing Framework : Pivot-based high/low detection with configurable bar lengths and cool-off intervals.
Structural Visualization : Lines, zones, and labels for high-fidelity mapping of support/resistance and BOS events.
BOS Engine : Detects structural breaks aligned with EMA trend, automatically plotting stop-loss lines and visual cues.
Performance Profile : Lightweight, optimized for real-time responsiveness across multiple timeframes.
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Ideal for intraday swing spotting and microstructure trend tracking.
15 - 60 min : Medium-range structural analysis and BOS-driven entries.
4H - Daily : Macro trend mapping and key swing-based support/resistance identification.
Suggested Configuration:
EMA Length : 50
Swing Length : 5
Swing Cooloff : 10 bars
BOS Cooloff : 15 bars
SL Buffer : 0.1%
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Trending markets with defined swings and structural consistency.
Markets where EMA slope and acceleration reliably indicate momentum changes.
Reduced Effectiveness:
Choppy or sideways markets with minimal swing definition.
Random walk assets lacking clear structural anchors.
Integration Guidelines
Confluence Framework : Combine with volume, momentum, or BOSWaves structural indicators
to validate entries.
Directional Control: Follow EMA slope and BOS alignment for high-conviction trades.
Risk Calibration: Use SL projections for disciplined exposure management.
Multi-Timeframe Synergy: Confirm higher-timeframe trend before executing lower-timeframe structural trades.
Disclaimer
The EMA Market Structure is a professional-grade trend and structure visualization tool. It is not predictive or guaranteed profitable; performance depends on parameter tuning, market regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack integrating trend, liquidity, and structural context.
Ultimate_Price_Action_Tool_V2 by chaitu50cUltimate_Price_Action_Tool_V2 by chaitu50c — Session-Based SR Box Engine
This indicator builds clean, session-aware support and resistance “zones” from pure price action. It is designed for intraday and positional traders who want objective, rule-based zones instead of manual drawing.
Core Logic
Price-action based MAIN zones
Detects bullish and bearish breakouts using a strict body-structure:
Single-candle and double-candle breakout patterns.
Breakouts are confirmed only when closes break beyond previous highs/lows.
From each valid breakout, the tool builds a MAIN Support or MAIN Resistance box:
For bullish breaks, the zone is created from a combined low to the nearest open/close in the breakout combo.
For bearish breaks, the zone is created from a combined high to the nearest open/close in the breakout combo.
Optional first-box logic:
Can create the very first MAIN zone in a session from a simple opposite-color pair (without a full breakout), if enabled.
SUB zones on break
When price breaks a MAIN Support downwards with a red candle, the MAIN box is removed/frozen and:
A new SUB Resistance box is created above, using the current bar’s structure.
When price breaks a MAIN Resistance upwards with a green candle:
A new SUB Support box is created below.
SUB zones are optional and can be fully disabled if the user prefers a clean MAIN-only view.
Session Handling
The script is fully session-aware and can work in different market structures:
Session Mode options
Clock Session
Uses a fixed time window (e.g., 09:15–15:30).
Zones can be shown only inside the session or kept visible outside, depending on settings.
New Day
Each new trading day is treated as a fresh session.
Auto Gap
A new session starts whenever the time gap between candles exceeds a user-defined threshold (in minutes).
Session IDs and history
Each new session gets its own ID.
You can display zones for the last N sessions (including current).
Older sessions fade out visually but remain internally tracked to control visibility.
Main Features & Options
Initial Right Offset
Every new zone is projected to the right by a configurable number of bars.
All active boxes continuously extend with this offset, keeping zones clearly projected into the future.
Single MAIN per side (per session)
Optional constraint to have only:
One active MAIN Support and
One active MAIN Resistance
per session on the chart.
This prevents overcrowding and focuses on the most recent key structure.
MAIN vs SUB Overlap Control
When a new MAIN zone overlaps an existing SUB zone, you can choose:
Suppress MAIN (ignore the new MAIN if it clashes with a SUB),
Remove SUB (delete overlapping SUB zones and keep the new MAIN), or
Allow Both (plot everything and let the trader decide).
Vertical overlap is evaluated using a configurable minimum overlap percentage.
SUB suppression under MAIN
SUB boxes that overlap strongly with active MAIN zones can be auto-suppressed to avoid redundant clutter.
This suppression uses the same percent-based overlap logic.
Broken MAIN box handling
When a MAIN zone is broken:
Option 1: Fully delete it (classic behavior).
Option 2: Convert it into a 1-bar “marker” box at its origin, so you still see where the original zone formed without extending into the future.
Break candle coloring
The candle that breaks a MAIN zone can be optionally painted:
Red when breaking support.
Green when breaking resistance.
Helps visually confirm genuine breaks vs. simple intrabar tests.
Visual & Styling Controls
Separate style controls for:
MAIN Support / MAIN Resistance
Independent fill and border colors.
SUB Support / SUB Resistance
Independent fill and border colors.
Opacity and border colors are internally managed so that:
Recent sessions are clearly visible.
Older sessions are softly faded to maintain context without noise.
Typical Use Cases
Intraday traders looking for:
Clean, rule-based supply and demand zones.
Zones that respect actual session structure (clock, daily, or gap-based).
Swing traders who:
Want to track how current price reacts to the most recent 1–N sessions’ zones.
Price action traders who:
Prefer breakout-based zones rather than indicator-driven levels.
Need automatic zone management (creation, extension, break handling, and suppression).
This tool is built to be modular and configurable: you can run it minimal (only MAIN zones, single side per session) or fully featured (MAIN + SUB, multi-session history, overlap handling, and break paints). All logic is strictly price-action based with no dependency on volume or external indicators.
Nifty Scalping System by Rakesh Sharma🎯 What This Indicator Does:
Core Features:
✅ Fast Entry/Exit Signals - Quick BUY/SELL labels on chart
✅ 3 Signal Modes:
Aggressive - More signals, faster entries
Moderate - Balanced (Recommended)
Conservative - Fewer but high-quality signals
✅ Automatic Target & Stop Loss - Plotted on chart as soon as you enter
✅ Time Filter - Only trades during your specified hours (9:20 AM - 3:15 PM default)
✅ Trade Statistics - Win rate, W/L ratio tracked automatically
✅ Live Dashboard - Shows trend, RSI, VWAP position, current trade status
Indicators Used:
📊 3 EMAs (9, 21, 50) - Trend direction
📈 Supertrend - Primary trend filter
💪 RSI - Momentum & overbought/oversold
💜 VWAP - Intraday support/resistance
📉 ATR - Dynamic stop loss & targets
📊 Volume - Confirmation of moves
⚙️ Best Settings for Nifty/Bank Nifty:
For 5-Minute Charts (Most Popular):
Signal Mode: Moderate
Target R:R: 1.5 (1:1.5 risk-reward)
Time Filter: 9:20 AM to 3:15 PM
For 3-Minute Charts (More Scalps):
Signal Mode: Aggressive
Target R:R: 1.0 (quick exits)
Time Filter: 9:20 AM to 3:15 PM
For 15-Minute Charts (Swing Scalping):
Signal Mode: Conservative
Target R:R: 2.0 (bigger targets)
Time Filter: 9:30 AM to 3:00 PM
💡 How to Use:
Step 1: Setup
Add indicator to 5-min Nifty or Bank Nifty chart
Choose your Signal Mode (start with Moderate)
Set Risk:Reward (1.5 is balanced)
Enable Time Filter (avoid first 10 mins)
Step 2: Trading
BUY Signal appears = Go LONG
Green label shows entry price
Green line = Target
Red line = Stop Loss
SELL Signal appears = Go SHORT
Red label shows entry price
Green line = Target
Red line = Stop Loss
Exit automatically when Target or SL is hit
Step 3: Risk Management
Automatic SL based on ATR (volatility)
Adjustable R:R ratio
Never trade outside session hours
🎯 Trading Rules (Important!):
✅ Take the Trade When:
Signal appears during trading session
Dashboard shows strong trend
Volume spike present
Price above/below VWAP (for buy/sell)
❌ Avoid Trading When:
First 10 minutes (9:15-9:25 AM)
Last 15 minutes (3:15-3:30 PM)
Dashboard shows "SIDEWAYS"
Major news events
📊 Dashboard Explained:
FieldWhat It MeansModeYour current signal sensitivityTrendOverall market directionRSIOverbought/Oversold/NeutralPrice vs VWAPAbove = Bullish, Below = BearishCurrent TradeShows if you're in a positionSessionTrading time active or notWin RateYour success %
🚀 Pro Tips for Nifty/Bank Nifty:
Best Timeframe: 5-minute chart
Best Time: 9:30 AM - 2:30 PM (avoid opening/closing rushes)
Risk per Trade: 1-2% of capital max
Follow the Trend: Take only BUY in uptrend, SELL in downtrend
Use Alerts: Set alerts so you don't miss signals
Start Small: Paper trade first with 1 lot
⚡ Quick Start Guide:
For Bank Nifty (5-min chart):
1. Signal Mode: Moderate
2. Target R:R: 1.5
3. Trading Hours: 9:20 AM - 3:15 PM
4. Watch for 3-5 signals per day
5. Average 30-50 points per trade
For Nifty 50 (5-min chart):
1. Signal Mode: Moderate
2. Target R:R: 1.5
3. Trading Hours: 9:20 AM - 3:15 PM
4. Watch for 3-5 signals per day
5. Average 15-30 points per trade
📈 Expected Performance:
Conservative Mode: 2-4 trades/day, 65-70% win rate
Moderate Mode: 4-8 trades/day, 55-65% win rate
Aggressive Mode: 8-15 trades/day, 45-55% win rate
This is a complete scalping system, Rakesh! All you need to do is:
Add to chart
Wait for signals
Follow the targets/stop losses
Track your stats
Ready to test it? Let me know if you want any adjustments! 🎯💰Claude can make mistakes. Please double-check responses.
Volume-Confirmed FTR Zones [AlgoPoint]FTR Zone Indicator — Fail To Return Zones (With Volume Confirmation)
Advanced Smart Money Zone Detection for Institutional Orderflow
The FTR Zone Indicator is a professional-grade tool designed for traders who follow Smart Money Concepts (SMC), ICT methodologies, or institutional orderflow. It automatically detects Fail To Return Zones (FTR) — high-probability supply and demand areas formed after strong displacement moves.
By combining impulse detection, base identification, and volume confirmation, this indicator highlights zones where price is most likely to react, reverse, or mitigate shortly after structure breaks.
⸻
⭐ What Are FTR Zones?
FTR zones (Fail To Return zones) are price areas where:
1. A strong displacement / impulse candle is formed
2. That impulse originates from a small consolidation (base)
3. Price moves away aggressively
4. AND fails to return immediately to the origin area
These zones often indicate:
• Institutional orders
• Imbalance
• Hidden liquidity
• Origin of a trend leg
• High-probability mitigation points
This indicator fully automates the detection and visualization of such areas.
🔍 How the Indicator Works
1. Impulse Detection
The indicator identifies a valid impulse candle using:
• ATR-based bar range filter
• Trend-aligned candle body direction
• Optional volume confirmation
Only large, meaningful institutional candles qualify — filtering out noise.
2. Base Zone Identification
Before every impulse, the tool finds the micro-consolidation base using:
• Highest high of the last X bars
• Lowest low of the last X bars
This base becomes the potential FTR zone.
3. FTR Zone Creation
When a valid impulse is detected:
• Bullish impulse → Demand FTR zone
• Bearish impulse → Supply FTR zone
The zone is immediately drawn on the chart using box.new().
4. Zone Extension
Every zone continuously extends to the right as price evolves, allowing you to track:
• Mitigation
• Retests
• Reaction points
• Liquidity sweeps
5. Invalidation Logic
Zones automatically delete when violated:
• Demand zone invalid if close < zone low
• Supply zone invalid if close > zone high
This keeps the chart clean and helps focus only on active, high-value areas.
🎛️ Key Features
✔ Automatic FTR Zone Detection
Instantly identifies institutional origin zones based on real impulse and displacement.
✔ Volume-Based Filtering
Ensures only high-volume impulses (true institutional orders) create zones.
✔ Supply & Demand Coloring
• Bullish FTR → Demand Zone (Teal tone)
• Bearish FTR → Supply Zone (Red tone)
✔ Safe Zone Storage
Fault-tolerant logic ensures no array errors, invalid zones, or broken visuals.
✔ Auto-Extending Boxes
Real-time zone updates with precise historical mapping.
✔ Smart Invalidation
Zone is removed only when fully broken, preventing false signals.
✔ Clean, Non-Repainting Logic
Impulse detection and zone placement are confirmed only on bar close.
📈 How to Use It (Example Schenarios)
For Reversals or Continuations
• Look for price reacting or mitigating inside a zone
• Use as entry confirmation in trend continuations
• Combine with FVG, BOS/CHOCH, liquidity sweeps, or premium/discount zones
For Scalping or Intraday Trading
• High-probability countertrend entries
• Reaction-based setups at institutional footprints
For Swing Traders
• Identify weekly/daily origin zones
• Plan entries around large displacement points
Market Breadth - [JTCAPITAL]Market Breadth - is a comprehensive crypto market strength and sentiment indicator designed to visualize the overall bullish or bearish alignment across 40 major cryptocurrencies. By combining multi-asset Exponential Moving Average (EMA) comparisons and smoothing techniques, it offers a clean, aggregated view of the broader market trend—helping traders quickly assess whether the market is dominated by bullish momentum or bearish pressure.
The indicator works by calculating in the following steps:
Symbol Selection and Data Retrieval
The script monitors 40 leading cryptocurrencies based on Market Cap. Each asset’s daily close price is requested using a 1D timeframe. This ensures that every data point reflects the same temporal resolution, allowing the indicator to evaluate global crypto strength rather than individual token volatility.
EMA Comparison per Asset
For each asset, two Exponential Moving Averages (EMAs) are calculated:
A short-term EMA with period emalength (default 10).
A long-term EMA with period emalength2 (default 20).
Each coin receives a score of +1 when the short-term EMA is greater than the long-term EMA (indicating bullish structure), or -1 when it is below (indicating bearish structure). This binary scoring system effectively converts individual price action into a directional sentiment measure.
Market Breadth Aggregation
All 40 individual scores are summed into a single composite value called scores .
If many assets have bullish EMA alignment, the total score becomes strongly positive.
If the majority show bearish alignment, the total score turns negative.
This step transforms scattered price data into one unified market breadth metric—quantifying how many assets participate in the same directional trend.
Smoothing the Breadth Line
To reduce short-term noise and isolate trend direction, the aggregated score is smoothed using an EMA of length = smoothlen (default 15). The resulting smoothed line helps identify sustained shifts in collective sentiment rather than temporary fluctuations.
Visualization and Color Coding
When scores > 0 , the market breadth is bullish and the histogram is colored blue.
When scores < 0 , the breadth turns bearish and the histogram is purple.
The same logic applies to the smoothed line and background color, offering an instant visual cue of market mood transitions.
Buy and Sell Conditions:
The indicator itself does not trigger direct buy/sell signals but rather acts as a market regime filter . Traders can use it as follows:
Buy Filter: When the smoothed value is above zero and rising, the majority of assets confirm an uptrend — this favors long setups or trend continuation entries.
Sell Filter: When the smoothed value is below zero and falling, bearish alignment dominates — ideal for short setups or defensive risk management.
Optional filters could include combining this with RSI or volume-weighted momentum indicators to confirm breadth-based reversals.
Features and Parameters:
emalength – Defines the short-term EMA length used for individual asset trend detection (default 10).
emalength2 – Defines the long-term EMA length (default 20).
smoothlen – Defines the smoothing EMA length for the total market breadth line (default 15).
40 asset inputs – User-editable symbols allow full customization of which cryptos are tracked.
Dynamic color backgrounds – Visual distinction between bullish and bearish phases.
Specifications:
Exponential Moving Average (EMA)
EMA is a type of moving average that places more weight on recent price data, responding faster to market changes compared to SMA. By comparing a short-term and long-term EMA, the indicator captures momentum shifts across each asset individually. The crossover logic (EMA10 > EMA20) signals bullish conditions, while the opposite indicates bearish momentum.
Market Breadth
Market Breadth quantifies how many assets are participating in a directional move. Instead of tracking a single coin’s trend, breadth analysis measures collective sentiment. When most coins’ short-term EMAs are above long-term EMAs, the market shows healthy bullish breadth. Conversely, when most are below, weakness dominates.
Smoothing (EMA on Scores)
After summing the breadth score, the result is smoothed with an additional EMA to mitigate the inherent volatility caused by individual coin reversals. This second-level smoothing transforms raw fluctuations into a readable, trend-consistent curve.
Color Visualization
Visual cues are integral for intuitive interpretation.
Blue Shades: Indicate bullish alignment and collective upward momentum.
Purple Shades: Indicate bearish conditions and potential risk-off phases.
The background tint reinforces visual clarity even when the indicator is overlaid on price charts.
Background Logic
By applying the same color logic to the chart’s background, users can instantly recognize the prevailing market phase.
Use Cases
As a trend confirmation filter for other indicators (e.g., trade only in the direction of positive breadth).
As a divergence tool : when price rises but breadth weakens, it may signal a topping market.
As a macro sentiment monitor : perfect for assessing when the crypto market as a whole transitions from bearish to bullish structure.
Summary
“ Market Breadth - ” transforms the chaotic price movements of 40 cryptocurrencies into a single, powerful visual representation of overall market health. By merging EMA cross analysis with market-wide aggregation and smoothing , it provides traders with a deep understanding of when bullish or bearish forces dominate the ecosystem.
It’s a clean, data-driven approach to identifying shifts in crypto market sentiment — a perfect companion for trend-following, macro analysis, and timing portfolio exposure.
Enjoy!
Session SFPThis script is a powerful, multi-timeframe tool designed to identify high-probability Swing Failure Patterns (SFPs) at key historical levels.
Instead of looking for traditional "pivots" (like a 3-bar swing), this indicator finds the actual high and low of a previous higher-timeframe (HTF) bar (e.g., the previous weekly high/low) and waits for a lower-timeframe (LTF) candle to sweep that level and fail.
This allows you to spot liquidity sweeps and potential reversals at significant, structural price points.
How It Works
The indicator's logic is based on a simple, two-timeframe process:
Level Detection: First, it finds the high and low of the previous bar on your chosen "Level Timeframe" (e.g., W for Weekly, D for Daily). It plots these as small 'x' markers on your chart.
SFP Identification: Second, it watches price action on a lower "SFP Timeframe" (e.g., 240 for 4H). A potential SFP is identified when a candle's wick sweeps above a key high or below a key low.
Confirmation: The SFP is only confirmed after the SFP candle closes back below the high (for a bearish SFP) or above the low (for a bullish SFP). It then waits for a set number of "Confirmation Bars" to pass. If price does not close back over the level during this window, the signal is locked in, and a label is printed.
How to Use (Key Settings)
Level Timeframe (Most Important): This is the timeframe for the levels you want to trade. Set this to W to find SFPs of the previous weekly high/low. Set it to D to find SFPs of the previous daily high/low.
SFP Timeframe: This is the timeframe you want to use to find the SFP candle itself. This should be lower than your Level Timeframe (e.g., 240 or 60).
Level Lookback: This controls how many old levels the script will track. A value of 10 on a W Level Timeframe will track the highs and lows of the last 10 weeks.
Confirmation Bars: This is your "patience" filter. It's the number of SFP Timeframe bars that must close without reclaiming the level after the SFP. A value of 0 will confirm the SFP immediately on the candle's close.
Enable Wick % Filter: A quality filter. If checked, this ensures the SFP candle's rejection wick is a significant percentage of the candle's total range.
Chart Visuals
'x' Markers: These are the historical highs and lows from your "Level Timeframe". You can turn these on or off in the settings.
SFP Label: When an SFP is fully confirmed, a label (Bearish SFP or Bullish SFP) will appear, detailing the level that was swept and the timeframes used.
SFP Line: A solid horizontal line is drawn from the 'x' marker to the SFP candle to highlight the sweep.
Colored Boxes (Optional): If you are viewing a chart timeframe lower than your "SFP Timeframe", you can enable background boxes to highlight the exact SFP candle and its confirmation bars.
Quantura - Session High/LowIntroduction
“Quantura – Session High/Low” is a professional-grade session mapping indicator that automatically identifies and visualizes the highs, lows, and ranges of key global trading sessions — London, New York, and Asia. It helps traders understand when and where liquidity tends to accumulate, allowing for better market structure analysis and session-based strategy alignment.
Originality & Value
This indicator unifies the three most influential global sessions into a single, adaptive visualization tool. Unlike typical session indicators, it dynamically updates live session highs and lows in real time while marking session boundaries and transitions. Its multi-session management system allows for immediate recognition of overlapping liquidity zones — a crucial feature for institutional and intraday traders.
The value and originality come from:
Real-time tracking of session highs, lows, and developing ranges.
Simultaneous visualization of multiple global sessions.
Optional vertical range lines for clearer visual segmentation.
Customizable session times, colors, and time zone offset for global accuracy.
Automatically extending and updating lines as each session progresses.
Functionality & Core Logic
Detects the start and end of each trading session (London, New York, Asia) using built-in time logic and user-defined UTC offsets.
Initializes session-specific high and low variables at the start of each new session.
Continuously updates session high/low levels as new candles form.
Draws color-coded horizontal lines for each session’s high and low.
Optionally adds vertical dotted lines to visually connect session range extremes.
Locks each session’s range once it ends, preserving historical structure for review.
Parameters & Customization
New York Session: Enable/disable, customize time (default 15:30–21:30), and set color.
London Session: Enable/disable, customize time (default 09:00–16:30), and set color.
Asia Session: Enable/disable, customize time (default 02:30–08:00), and set color.
Vertical Line: Toggle dotted vertical lines connecting session high and low levels.
UTC Offset: Adjust session timing to align with your chart’s local time zone.
Visualization & Display
Each session is color-coded for quick identification (default: blue for London, red for New York, green for Asia).
Horizontal lines track evolving session highs and lows in real time.
Once a session closes, the lines remain fixed to mark historical range boundaries.
Vertical dotted lines (optional) visually connect the session’s high and low for clarity.
Supports full overlay display without interfering with other technical indicators.
Use Cases
Identify liquidity zones and range extremes formed during active trading sessions.
Observe session overlaps (London–New York) to anticipate volatility spikes.
Combine with volume or market structure tools for session-based confluence.
Track how price interacts with prior session highs/lows to detect potential reversals.
Analyze session-specific performance patterns for algorithmic or discretionary systems.
Limitations & Recommendations
The indicator is designed for intraday analysis and may not provide meaningful output on daily or higher timeframes.
Adjust session times and UTC offset based on your broker’s or exchange’s timezone.
Does not provide trading signals — it visualizes session structure only.
Combine with liquidity and volatility indicators for full contextual understanding.
Markets & Timeframes
Compatible with all asset classes — including crypto, forex, indices, and commodities — and optimized for intraday timeframes (1m–4h). Particularly useful for traders analyzing session overlaps and volatility transitions.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description fully complies with TradingView’s Script Publishing Rules and House Rules . It provides a detailed explanation of functionality, parameters, and realistic use cases without making any performance or predictive claims.
Quantura - Fair Value GapIntroduction
“Quantura – Fair Value Gap” is a precision-engineered institutional concept indicator designed to automatically identify, visualize, and manage Fair Value Gaps (FVGs) across any market or timeframe. It enables traders to observe price inefficiencies, potential liquidity voids, and retracement areas that often act as magnets for price rebalancing.
Originality & Value
Unlike many public FVG scripts that only highlight candle gaps, this indicator integrates dynamic filters and adaptive logic to determine the strength and reliability of each gap. It merges overlapping zones intelligently and optionally extends valid imbalances forward for ongoing reference.
Its value lies in:
Dynamic statistical filtering based on gap standard deviation.
Optional volume confirmation for high-confidence FVGs.
Automatic merging of overlapping or adjacent gaps for clean visualization.
Support for both bullish and bearish imbalances.
Signal alerts when gaps are filled or rebalanced by price.
Functionality & Core Logic
Detects Fair Value Gaps by comparing candle-to-candle price displacement.
Applies a Gap Filter (standard deviation-based) to qualify valid gaps.
Optionally validates gaps formed under significant volume conditions.
Draws color-coded boxes to mark bullish (discount) and bearish (premium) inefficiencies.
Monitors each FVG until price fills the gap, at which point the box is visually closed.
Provides optional signal markers (“▲” or “▼”) when rebalancing occurs.
Parameters & Customization
Gap Filter: Sets the minimum statistical deviation required for a valid FVG. Higher values detect fewer, stronger gaps.
Volume Filter: Toggles additional validation using relative volume strength.
Volume Sensitivity: Adjusts how much above-average volume must be present to confirm a gap.
Bullish/Bearish Colors: Customize color schemes for imbalance zones.
Extend Gaps: Optionally extend open gaps forward for better confluence tracking.
Signals: Enables or disables gap-fill signal markers.
Visualization & Display
Bullish FVGs: Appear in blue-tinted boxes, indicating potential demand-side inefficiencies.
Bearish FVGs: Appear in red-tinted boxes, representing potential supply-side inefficiencies.
Overlapping zones are merged automatically to maintain clarity.
Filled gaps remain visible for historical context, allowing for post-event analysis.
Optional signal arrows display when price returns to rebalance an FVG.
Use Cases
Identify institutional inefficiencies and liquidity voids.
Detect premium and discount levels in trending markets.
Combine with market structure or order block indicators for confluence.
Track when price rebalances inefficiencies to refine entry/exit points.
Build FVG-based algorithmic strategies that rely on structural imbalance resolution.
Limitations & Recommendations
The indicator detects structural imbalances but does not predict future direction or guarantee profitability.
Volume filters may behave differently across brokers due to data-source differences.
Use alongside structure or liquidity tools for enhanced decision-making.
Extreme volatility or illiquid assets may generate temporary invalid gaps.
Markets & Timeframes
Compatible with all markets (crypto, forex, equities, indices, futures) and all timeframes. Recommended for multi-timeframe confluence analysis — e.g., detecting higher-timeframe FVGs and refining lower-timeframe entries.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description adheres fully to TradingView’s House Rules and Script Publishing Requirements . It provides a detailed explanation of originality, core logic, limitations, and appropriate use — with no unrealistic or misleading performance claims.
DTCC RECAPS Dates 2020-2025This is a simple indicator which marks the RECAPS dates of the DTCC, during the periods of 2020 to 2025.
These dates have marked clear settlement squeezes in the past, such as GME's squeeze of January 2021.
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The Depository Trust & Clearing Corporation (DTCC) has published the 2025 schedule for its Reconfirmation and Re-pricing Service (RECAPS) through the National Securities Clearing Corporation (NSCC). RECAPS is a monthly process for comparing and re-pricing eligible equities, municipals, corporate bonds, and Unit Investment Trusts (UITs) that have aged two business days or more .
At its core, the Reconfirmation and Re-pricing Service (RECAPS) is a risk management tool used by the National Securities Clearing Corporation (NSCC), a subsidiary of the DTCC. Its primary purpose is to reduce the risks associated with aged, unsettled trades in the U.S. securities market .
When a trade is executed, it is sent to the NSCC for clearing and settlement. However, for various reasons, some trades may not settle on their scheduled date and become "aged." These unsettled trades create risk for both the trading parties and the clearinghouse (NSCC) because the value of the underlying securities can change over time. If a trade fails to settle and one of the parties defaults, the NSCC may have to step in to complete the transaction at the current market price, which could result in a loss.
RECAPS mitigates this risk by systematically re-pricing these aged, open trading obligations to the current market value. This process ensures that the financial obligations of the clearing members accurately reflect the present value of the securities, preventing the accumulation of significant, unmanaged market risk .
Detailed Mechanics: How Does it Work?
The RECAPS process revolves around two key dates you asked about: the RECAPS Date and the Settlement Date .
The RECAPS Date: On this day, the NSCC runs a process to identify all eligible trades that have remained unsettled for two business days or more. These "aged" trades are then re-priced to the current market value. This re-pricing is not just a simple recalculation; it generates new settlement instructions. The original, unsettled trade is effectively cancelled and replaced with a new one at the current market price. This is done through the NSCC's Obligation Warehouse.
The Settlement Date: This is typically the business day following the RECAPS date. On this date, the financial settlement of the re-priced trades occurs. The difference in value between the original trade price and the new, re-priced value is settled between the two trading parties. This "mark-to-market" adjustment is processed through the members' settlement accounts at the DTCC.
Essentially, the process ensures that any gains or losses due to price changes in the underlying security are realized and settled periodically, rather than being deferred until the trade is ultimately settled or cancelled.
Are These Dates Used to Check Margin Requirements?
Yes, indirectly, this process is closely tied to managing margin and collateral requirements for NSCC members. Here’s how:
The NSCC requires its members to post collateral to a clearing fund, which acts as a mutualized guarantee against defaults. The amount of collateral each member must provide is calculated based on their potential risk exposure to the clearinghouse.
By re-pricing aged trades to current market values through RECAPS, the NSCC gets a more accurate picture of each member's outstanding obligations and, therefore, their current risk profile. If a member has a large number of unsettled trades that have moved against them in value, the re-pricing will crystallize that loss, which will be settled the next day.
This regular re-pricing and settlement of aged trades prevent the build-up of large, unrealized losses that could increase a member's risk profile beyond what their posted collateral can cover. While RECAPS is not the only mechanism for calculating margin (the NSCC has a complex system for daily margin calls based on overall portfolio risk), it is a crucial component for managing the specific risk posed by aged, unsettled transactions. It ensures that the value of these obligations is kept current, which in turn helps ensure that collateral levels remain adequate.
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Future dates of 2025:
- November 12, 2025 (Wed)
- November 25, 2025 (Tue)
- December 11, 2025 (Thu)
- December 29, 2025 (Mon)
The dates for 2026 haven't been published yet at this time.
The RECAPS process is essentially the industry's way of retrying the settlement of all unresolved FTDs, netting outstanding obligations, and gradually forcing resolution (either delivery or buy-in). Monitoring RECAPS cycles is one way to track the lifecycle, accumulation, and eventual resolution (or persistence) of failures to deliver in the U.S. market.
The US Stock market has become a game of settlement dates and FTDs, therefore this can be useful to track.
ProScalper📊 ProScalper - Professional 1-Minute Scalping System
🎯 Overview
ProScalper is a sophisticated, multi-confluence scalping indicator designed specifically for 1-minute chart trading. Combining advanced technical analysis with intelligent signal filtering, it provides high-probability trade setups with clear entry, stop loss, and take profit levels.
✨ Key Features
🔺 Smart Signal Detection
Range Filter Technology: Fast-responding trend detection (25-period) optimized for 1-minute timeframe
Medium-sized triangles appear above/below candles for clear buy/sell signals
Only most recent signal shown - no chart clutter
Automatically deletes old signals when new ones appear
📋 Real-Time Signal Table
Top-center display shows complete trade breakdown
Grade system: A+, A, B+, B, C+ ratings for every setup
All confluence reasons listed with checkmarks
Score and R:R displayed for instant trade quality assessment
Color-coded: Green for LONG, Red for SHORT
📐 Multi-Confluence Analysis
ProScalper combines 10+ technical factors:
✅ EMA Trend: 4 EMAs (200, 48, 13, 8) for multi-timeframe alignment
✅ VWAP: Dynamic support/resistance
✅ Fibonacci Retracement: Golden ratio (61.8%), 50%, 38.2%, 78.6%
✅ Range Filter: Adaptive trend confirmation
✅ Pivot Points: Smart reversal detection
✅ Volume Analysis: Spike detection and volume profile
✅ Higher Timeframe: 5-minute trend confirmation
✅ HTF Support/Resistance: Key levels from higher timeframes
✅ Liquidity Sweeps: Smart money detection
✅ Opening Range Breakout: First 15-minute range
💰 Complete Trade Management
Entry Lines: Dashed green (LONG) or red (SHORT) showing exact entry
Stop Loss: Red dashed line with price label
Take Profit: Blue dashed line with price label and R:R
Partial Exits: 1R level marked with orange dashed line
All lines extend 10 bars for clean alignment with Fibonacci levels
📊 Dynamic Risk/Reward
Adaptive R:R calculation based on market volatility
Targets adjusted for pivot distances
Minimum 1.2:1 to maximum 3.5:1 for scalping
Position sizing based on account risk percentage
🎨 Professional Visualization
Clean chart layout - no clutter, only essential information
Custom EMA colors: Red (200), Aqua (48), Green (13), White (8)
Gold VWAP line for key support/resistance
Color-coded Fibonacci: Bright yellow (61.8%), white (50%), orange (38.2%), fuchsia (78.6%)
No shaded zones - pure price action focus
📈 Performance Tracking
Real-time statistics table (optional)
Win rate, total trades, P&L tracking
Average R:R and win/loss ratios
Setup-specific performance metrics
⚙️ Settings & Customization
Risk Management
Adjustable account risk per trade (default: 0.5%)
ATR-based stop loss multiplier (default: 0.8 for tight scalping)
Dynamic position sizing
Signal Sensitivity
Confluence Score Threshold: 40-100 (default: 55 for balanced signals)
Range Filter Period: 25 bars (fast signals for 1-min)
Range Filter Multiplier: 2.2 (tighter bands for more signals)
Visual Controls
Toggle signal table on/off
Show/hide Fibonacci levels
Control EMA visibility
Adjust table text size
Partial Exits
1R: 50% (default)
2R: 30% (default)
3R: 20% (default)
Fully customizable percentages
Trailing Stops
ATR-Based (best for scalping)
Pivot-Based
EMA-Based
Breakeven trigger at 0.8R
🎯 Best Use Cases
Ideal For:
✅ 1-minute scalping on liquid instruments
✅ Day traders looking for quick 2-8 minute trades
✅ High-frequency trading with 8-15 signals per session
✅ Trending markets where Range Filter excels
✅ Crypto, Forex, Futures - works on all liquid assets
Trading Style:
Timeframe: 1-minute (can work on 3-5 min with adjusted settings)
Hold Time: 3-8 minutes average
Target: 1.2-3R per trade
Frequency: 8-15 signals per day
Win Rate: 45-55% (with proper risk management)
📋 How to Use
Step 1: Wait for Signal
Watch for green triangle (BUY) or red triangle (SELL)
Signal table appears at top center automatically
Step 2: Review Confluence
Check grade (prefer A+, A, B+ for best quality)
Review all reasons listed in table
Confirm score is above your threshold (55+ recommended)
Note the R:R ratio
Step 3: Enter Trade
Enter at current market price
Set stop loss at red dashed line
Set take profit at blue dashed line
Mark 1R level (orange line) for partial exit
Step 4: Manage Trade
Exit 50% at 1R (orange line)
Move to breakeven after 0.8R
Trail remaining position using your chosen method
Exit fully at TP or opposite signal
🎨 Chart Setup Recommendations
Optimal Display:
Timeframe: 1-minute
Chart Type: Candles or Heikin Ashi
Background: Dark theme for best color visibility
Volume: Enable volume bars below chart
Complementary Indicators (optional):
Order flow/Delta for institutional confirmation
Market profile for key levels
Economic calendar for news avoidance
⚠️ Important Notes
Risk Disclaimer:
Not financial advice - for educational purposes only
Always use proper risk management (0.5-1% per trade max)
Past performance doesn't guarantee future results
Test on demo account before live trading
Best Practices:
✅ Trade during high liquidity hours (9:30-11 AM, 2-4 PM EST)
✅ Avoid news events and market open/close (first/last 2 minutes)
✅ Use tight stops (0.8-1.0 ATR) for 1-minute scalping
✅ Take partial profits quickly (1R = 50% off)
✅ Respect max daily loss limits (3% recommended)
✅ Focus on A and B grade setups for consistency
What Makes This Different:
🎯 Complete system - not just signals, but full trade management
📊 Multi-confluence - 10+ factors analyzed per trade
🎨 Professional visualization - clean, focused chart design
⚡ Optimized for 1-min - settings specifically tuned for fast scalping
📋 Transparent reasoning - see exactly why each trade was taken
🏆 Grade system - instantly know trade quality
🔧 Technical Details
Pine Script Version: 5
Overlay: Yes (plots on price chart)
Max Lines: 500
Max Labels: 100
Non-repainting: All signals confirmed on bar close
Alerts: Compatible with TradingView alerts
📞 Support & Updates
This indicator is actively maintained and optimized for 1-minute scalping. Settings can be adjusted for different timeframes and trading styles, but default configuration is specifically tuned for high-frequency 1-minute scalping.
🚀 Get Started
Add ProScalper to your 1-minute chart
Adjust settings to your risk tolerance
Wait for signals (green/red triangles)
Follow the signal table guidance
Manage trades using provided levels
Track performance with stats table
Happy Scalping! 📊⚡💰
CMF, RSI, CCI, MACD, OBV, Fisher, Stoch RSI, ADX (+DI/-DI)Eight normalized indicators are used in conjunction with the CMF, CCI, MACD, and Stoch RSI indicators. You can track buy and sell decisions by tracking swings. The zero line is for reversal tracking at -20, +20, +50, and +80. You can use any of the nine indicators individually or in combination.
CMF, RSI, CCI, MACD, OBV, Fisher, Stoch RSI, ADX (+DI/-DI)Eight normalized indicators are used in conjunction with the CMF, CCI, MACD, and Stoch RSI indicators. You can track buy and sell decisions by tracking swings. The zero line is for reversal tracking at -20, +20, +50, and +80. You can use any of the nine indicators individually or in combination.
RSI Divergence Screener [Pineify]RSI Divergence Screener
Key Features
Multi-symbol and multi-timeframe support for advanced market screening.
Real-time detection and visualization of bullish and bearish RSI divergences.
Seamless integration with core technical indicators and custom divergences.
Highly customizable parameters for precise adaptation to personal trading strategies.
Comprehensive screener table for swift asset comparison and analysis.
How It Works
The RSI Divergence Screener leverages the power of Relative Strength Index (RSI) to systematically track momentum shifts across cryptocurrencies and their respective timeframes. By monitoring both fast and slow RSI calculations, the screener isolates divergence signals—key reversal points that often precede major price moves.
The indicator calculates two RSI values for each selected asset: one with a short lookback (Fast RSI) and another with a longer period (Slow RSI).
It runs a comparative algorithm to find divergences—whenever Fast RSI deviates significantly from Slow RSI, it flags the signal as bullish or bearish.
All detected divergences are dynamically presented in a table view, allowing traders to scan symbols and timeframes for optimal trading setups.
Trading Ideas and Insights
Spot early momentum reversals and preempt major price swings via divergence signals.
Combine multiple symbols and timeframes for cross-market trending opportunities.
Identify high-probability scalping and swing trading setups informed by RSI divergence logic.
Quickly compare crypto asset strength and trend exhaustion across short and long-term horizons.
How Multiple Indicators Work Together
This screener’s edge lies in its synergistic use of multi-setting RSI calculations and customizable input groups.
The dual-RSI approach (Fast vs. Slow) isolates subtle trend shifts missed by traditional single-period RSI.
Safe and reliable divergences arise only when the mathematical difference between Fast RSI and Slow RSI meets predefined thresholds, minimizing false positives.
Divergences are contextualized using tailored color codes and backgrounds, rendering insights immediately actionable.
You can expand analysis with additional moving average filters or overlays for further confirmation.
Unique Aspects
First-of-its-kind screener dedicated solely to RSI divergence, designed especially for crypto volatility.
Efficient screening of up to eight assets and multiple timeframes in one compact dashboard.
Intuitive iconography, color logic, and table layouts optimized for rapid decision-making.
Advanced input group design for fine-tuning indicator settings per symbol, timeframe, and source.
How to Use
Select up to eight cryptocurrency symbols to screen for divergence signals.
Assign individual timeframes and source prices for each asset to customize analysis.
Set Fast RSI and Slow RSI lengths according to your preferred strategy (e.g., scalping, swing, or trend following).
Review the screener table: colored cells highlight actionable bullish (green) and bearish (red) divergences.
Confirm trade setups with additional indicators or price action for robust risk management.
Customization
Symbols: Choose any crypto pair or ticker for dynamic divergence tracking.
Timeframes: Scan across 1m, 5m, 10m, 30m, and more for full market coverage.
RSI lengths: Configure Fast and Slow RSI periods based on volatility and trading style.
Visuals: Tailor table colors, fonts, and alert backgrounds per your preference.
Conclusion
The RSI Divergence Screener is a versatile, original TradingView indicator that empowers traders to scan, compare, and act on divergence signals with speed and precision. Its multi-symbol design, robust logic, and extensive customization options set a new standard for market screening tools. Integrate it into your crypto trading process to capture actionable opportunities ahead of the crowd and optimize your technical analysis workflow.
BayesStack RSI [CHE]BayesStack RSI — Stacked RSI with Bayesian outcome stats and gradient visualization
Summary
BayesStack RSI builds a four-length RSI stack and evaluates it with a simple Bayesian success model over a rolling window. It highlights bull and bear stack regimes, colors price with magnitude-based gradients, and reports per-regime counts, wins, and estimated win rate in a compact table. Signals seek to be more robust through explicit ordering tolerance, optional midline gating, and outcome evaluation that waits for events to mature by a fixed horizon. The design focuses on readable structure, conservative confirmation, and actionable context rather than raw oscillator flips.
Motivation: Why this design?
Classical RSI signals flip frequently in volatile phases and drift in calm regimes. Pure threshold rules often misclassify shallow pullbacks and stacked momentum phases. The core idea here is ordered, spaced RSI layers combined with outcome tracking. By requiring a consistent order with a tolerance and optionally gating by the midline, regime identification becomes clearer. A horizon-based maturation check and smoothed win-rate estimate provide pragmatic feedback about how often a given stack has recently worked.
What’s different vs. standard approaches?
Reference baseline: Traditional single-length RSI with overbought and oversold rules or simple crossovers.
Architecture differences:
Four fixed RSI lengths with strict ordering and a spacing tolerance.
Optional requirement that all RSI values stay above or below the midline for bull or bear regimes.
Outcome evaluation after a fixed horizon, then rolling counts and a prior-smoothed win rate.
Dispersion measurement across the four RSIs with a percent-rank diagnostic.
Gradient coloring of candles and wicks driven by stack magnitude.
A last-bar statistics table with counts, wins, win rate, dispersion, and priors.
Practical effect: Charts emphasize sustained momentum alignment instead of single-length crosses. Users see when regimes start, how strong alignment is, and how that regime has recently performed for the chosen horizon.
How it works (technical)
The script computes RSI on four lengths and forms a “stack” when they are strictly ordered with at least the chosen tolerance between adjacent lengths. A bull stack requires a descending set from long to short with positive spacing. A bear stack requires the opposite. Optional gating further requires all RSI values to sit above or below the midline.
For evaluation, each detected stack is checked again after the horizon has fully elapsed. A bull event is a success if price is higher than it was at event time after the horizon has passed. A bear event succeeds if price is lower under the same rule. Rolling sums over the training window track counts and successes; a pair of priors stabilizes the win-rate estimate when sample sizes are small.
Dispersion across the four RSIs is measured and converted to a percent rank over a configurable window. Gradients for bars and wicks are normalized over a lookback, then shaped by gamma controls to emphasize strong regimes. A statistics table is created once and updated on the last bar to minimize overhead. Overlay markers and wick coloring are rendered to the price chart even though the indicator runs in a separate pane.
Parameter Guide
Source — Input series for RSI. Default: close. Tips: Use typical price or hlc3 for smoother behavior.
Overbought / Oversold — Guide levels for context. Defaults: seventy and thirty. Bounds: fifty to one hundred, zero to fifty. Tips: Narrow the band for faster feedback.
Stacking tolerance (epsilon) — Minimum spacing between adjacent RSIs to qualify as a stack. Default: zero point twenty-five RSI points. Trade-off: Higher values reduce false stacks but delay entries.
Horizon H — Bars ahead for outcome evaluation. Default: three. Trade-off: Longer horizons reduce noise but delay success attribution.
Rolling window — Lookback for counts and wins. Default: five hundred. Trade-off: Longer windows stabilize the win rate but adapt more slowly.
Alpha prior / Beta prior — Priors used to stabilize the win-rate estimate. Defaults: one and one. Trade-off: Larger priors reduce variance with sparse samples.
Show RSI 8/13/21/34 — Toggle raw RSI lines. Default: on.
Show consensus RSI — Weighted combination of the four RSIs. Default: on.
Show OB/OS zones — Draw overbought, oversold, and midline. Default: on.
Background regime — Pane background tint during bull or bear stacks. Default: on.
Overlay regime markers — Entry markers on price when a stack forms. Default: on.
Show statistics table — Last-bar table with counts, wins, win rate, dispersion, priors, and window. Default: on.
Bull requires all above fifty / Bear requires all below fifty — Midline gate. Defaults: both on. Trade-off: Stricter regimes, fewer but cleaner signals.
Enable gradient barcolor / wick coloring — Gradient visuals mapped to stack magnitude. Defaults: on. Trade-off: Clearer regime strength vs. extra rendering cost.
Collection period — Normalization window for gradients. Default: one hundred. Trade-off: Shorter values react faster but fluctuate more.
Gamma bars and shapes / Gamma plots — Curve shaping for gradients. Defaults: zero point seven and zero point eight. Trade-off: Higher values compress weak signals and emphasize strong ones.
Gradient and wick transparency — Visual opacity controls. Defaults: zero.
Up/Down colors (dark and neon) — Gradient endpoints. Defaults: green and red pairs.
Fallback neutral candles — Directional coloring when gradients are off. Default: off.
Show last candles — Limit for gradient squares rendering. Default: three hundred thirty-three.
Dispersion percent-rank length / High and Low thresholds — Window and cutoffs for dispersion diagnostics. Defaults: two hundred fifty, eighty, and twenty.
Table X/Y, Dark theme, Text size — Table anchor, theme, and typography. Defaults: right, top, dark, small.
Reading & Interpretation
RSI stack lines: Alignment and spacing convey regime quality. Wider spacing suggests stronger alignment.
Consensus RSI: A single line that summarizes the four lengths; use as a smoother reference.
Zones: Overbought, oversold, and midline provide context rather than standalone triggers.
Background tint: Indicates active bull or bear stack.
Markers: “Bull Stack Enter” or “Bear Stack Enter” appears when the stack first forms.
Gradients: Brighter tones suggest stronger stack magnitude; dull tones suggest weak alignment.
Table: Count and Wins show sample size and successes over the window. P(win) is a prior-stabilized estimate. Dispersion percent rank near the high threshold flags stretched alignment; near the low threshold flags tight clustering.
Practical Workflows & Combinations
Trend following: Enter only on new stack markers aligned with structure such as higher highs and higher lows for bull, or lower lows and lower highs for bear. Use the consensus RSI to avoid chasing into overbought or oversold extremes.
Exits and stops: Consider reducing exposure when dispersion percent rank reaches the high threshold or when the stack loses ordering. Use the table’s P(win) as a context check rather than a direct signal.
Multi-asset and multi-timeframe: Defaults travel well on liquid assets from intraday to daily. Combine with higher-timeframe structure or moving averages for regime confirmation. The script itself does not fetch higher-timeframe data.
Behavior, Constraints & Performance
Repaint and confirmation: Stack markers evaluate on the live bar and can flip until close. Alert behavior follows TradingView settings. Outcome evaluation uses matured events and does not look into the future.
HTF and security: Not used. Repaint paths from higher-timeframe aggregation are avoided by design.
Resources: max bars back is two thousand. The script uses rolling sums, percent rank, gradient rendering, and a last-bar table update. Shapes and colored wicks add draw overhead.
Known limits: Lag can appear after sharp turns. Very small windows can overfit recent noise. P(win) is sensitive to sample size and priors. Dispersion normalization depends on the collection period.
Sensible Defaults & Quick Tuning
Start with the shipped defaults.
Too many flips: Increase stacking tolerance, enable midline gates, or lengthen the collection period.
Too sluggish: Reduce stacking tolerance, shorten the collection period, or relax midline gates.
Sparse samples: Extend the rolling window or increase priors to stabilize P(win).
Visual overload: Disable gradient squares or wick coloring, or raise transparency.
What this indicator is—and isn’t
This is a visualization and context layer for RSI stack regimes with simple outcome statistics. It is not a complete trading system, not predictive, and not a signal generator on its own. Use it with market structure, risk controls, and position management that fit your process.
Metadata
- Pine version: v6
- Overlay: false (price overlays are drawn via forced overlay where applicable)
- Primary outputs: Four RSI lines, consensus line, OB/OS guides, background tint, entry markers, gradient bars and wicks, statistics table
- Inputs with defaults: See Parameter Guide
- Metrics and functions used: RSI, rolling sums, percent rank, dispersion across RSI set, gradient color mapping, table rendering, alerts
- Special techniques: Ordered RSI stacking with tolerance, optional midline gating, horizon-based outcome maturation, prior-stabilized win rate, gradient normalization with gamma shaping
- Performance and constraints: max bars back two thousand, rendering of shapes and table on last bar, no higher-timeframe data, no security calls
- Recommended use-cases: Regime confirmation, momentum alignment, post-entry management with dispersion and recent outcome context
- Compatibility: Works across assets and timeframes that support RSI
- Limitations and risks: Sensitive to parameter choices and market regime changes; not a standalone strategy
- Diagnostics: Statistics table, dispersion percent rank, gradient intensity
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
