Meta-LR Forecast v2Meta-LR Forecast is a tool that helps visualize whether the market is acting more like a trend (moving strongly in one direction) or more like a range (sideways/mean-reverting). It is designed to give context, not to generate buy or sell signals.
The script looks at multiple timeframes at once (for example minutes, hours, days, or weeks depending on your chart) and projects where price could go if each timeframe’s “bias” plays out. These projected points are then drawn ahead of current price.
Each timeframe’s bias is based on how straight and consistent the recent move has been (Directional Efficiency), combined with how well a line fits that move (R²). Together these form a “Bias %.” Higher positive values suggest upward pressure, higher negative values suggest downward pressure, and values near zero suggest indecision or chop.
A logistic blend adjusts between trend-following and range/anti-trend behavior. When the market shows strong direction, the forecast leans more toward trend; when it’s choppy or moving sideways, the forecast leans more toward range. In some conditions, a counter-trend (anti-trend) adjustment is allowed, but only when volatility and efficiency fall within certain thresholds.
ATR (Average True Range) is used to normalize everything, so the indicator adapts to different symbols and volatility levels. This way, the projection size is expressed in “Bias × ATR” units added to current price, making the forecasts scale appropriately across assets.
The projected points are spaced in time according to the real length of their timeframe. For example, a 1-day projection will be drawn farther away on the chart than a 15-minute projection. This makes the forward path visually match the true horizon of each timeframe.
The top-right table shows “Meta Bias %,” which is the overall bias calculated from all selected timeframe projections chained together. Positive Meta Bias means the combined path leans upward, negative means downward, and values close to zero mean mixed conditions.
How to use it: treat the Meta Bias % and polyline as context. If the forecast path is stacked upward with a strong positive Meta Bias, it suggests supportive conditions. If it stacks downward with a strong negative Meta Bias, it suggests pressure. If it alternates up and down and the bias hovers near zero, conditions may be indecisive. Always confirm with your own analysis before acting.
Important limitations: this tool is educational and for visualization only. It does not give entry or exit signals, and it does not guarantee profitable outcomes. Higher-timeframe values can change until that bar closes, so the display may adjust in real time. Market shocks, news events, and low liquidity conditions are not modeled.
Good practice: combine this indicator with your own trading plan, structure analysis, and risk management. Backtest responsibly in a simulator before using it live. Adjust inputs to fit your symbol and timeframe.
Compliance note: this script does not claim to be a “holy grail” or promise guaranteed results. It is not financial advice. It is meant to help traders better visualize context and market behavior. Use it as one part of a broader decision-making process.
트렌드 어낼리시스
Combine two tickers OHLC bars with selectable sourcesCombines the bars of two chosen tickers, used to fix issues with split history, new ticker names
e.g. MYTIL went to LSE from ATHEX and changed ticker names but with "broken"/ split chart history. With this script you get the full history combined with the two tickers.
An SMA50 was used as an example of how this can be used with others custom indicators inside this script.
Range Grid From Two LevelsRange Grid From Two Levels of Initial Balance (works great with next day levels)
CHOCH & BOS with EMA200 with long and short signalsCHOCH & BOS with EMA200 when we have internal bos we have long or short signal
PAZ+EMA+Momentum+RSI — Karar Paneli (AL/SAT/BEKLE)This Pine Script indicator combines price action (BoS/CHoCH proxy), EMA trend filtering (EMA50–EMA200), momentum signals (EWO and/or MACD histogram), and RSI conditions to analyze market direction and strength; when all criteria align it generates an “AL” (BUY) or “SAT” (SELL) signal, otherwise it outputs “BEKLE” (WAIT), with the decision visualized through background color, a confirmation table, and optionally triggers automated alerts for BUY/SELL signals.
MatrixScalper Tablo + 3 Bant Osilatör
MatrixScalper “Table + 3-Band Oscillator” is a lightweight, multi-timeframe trend-momentum filter that stacks three histograms (TF1/TF2/TF3—default 5m/15m/1h) and a compact table showing EMA trend, Supertrend, RSI and MACD direction for each timeframe. Green bars/✓ mean bullish alignment, red bars/✗ bearish; mixed or gray implies neutrality. Use it to trade with the higher-timeframe bias (e.g., look for longs when 15m & 60m are bullish and the 5m band flips back to green after a pullback). It’s a filter—not a standalone signal—so combine with price action/S&R/volume; optional alerts can be added for “all-bull” or “all-bear” alignment.
BUY & SELL Probability (M5..D1) - MTFMTF Probability Indicator (M5 to D1)
Indicator — Dual Histogram with Buy/Sell Labels
This indicator is designed to provide a probabilistic bias for bullish or bearish conditions by combining three different analytical components across multiple timeframes. The goal is to reduce noise from single-indicator signals and instead highlight confluence where trend, momentum, and strength agree.
Why this combination is useful
- EMA(200) Trend Filter: Identifies whether price is trading above or below a widely used long-term moving average.
- MACD Momentum: Detects short-term directional momentum through line crossovers.
- ADX Strength: Measures how strong the trend is, preventing signals in weak or flat markets.
By combining these, the indicator avoids situations where one tool signals a trade but others do not, helping to filter out low-probability setups.
How it works
- Each timeframe (M5, M15, H1, H4, D1) generates its own trend, momentum, and strength score.
- Scores are weighted according to user-defined importance and then aggregated into a single probability.
- Proximity to recent support and resistance levels can adjust the final score, accounting for nearby barriers.
- The final probability is displayed as:
- Histogram (subwindow): Green bars for bullish probability >50%, red bars for bearish <50%.
- On-chart labels: Showing exact buy/sell percentages on the last bar for quick reference.
Inputs
- EMA length (default 200), MACD settings, ADX period.
- Weights for each timeframe and component (trend, momentum, strength).
- Optional boost for the chart’s current timeframe.
- Smoothing length for probability values.
- Lookback period for support/resistance adjustment.
How to use it
- A green histogram above zero indicates bullish probability >50%.
- A red histogram below zero indicates bearish probability >50%.
- Neutral readings near 50% show low confluence and may be best avoided.
- Users can adjust weights to emphasize higher or lower timeframes, depending on their trading style.
Notes
- This script does not guarantee profitable trades.
- Best used together with price action, volume, or additional confirmation tools.
- Signals are calculated only on closed bars to avoid repainting.
- For testing and learning purposes — not financial advice.
Pro Trend: Double BB + Chandelier + ZigZag by KidevThis indicator combines multiple powerful tools into a single overlay:
Bollinger Bands (0.5σ & 2σ): Tracks short-term and wider volatility ranges.
SMA 75: Smooth trend filter to identify medium-term direction.
Centered Chandelier Exit: Dynamic stop/trend tool based on ATR; midline highlights trend bias.
Double ZigZag with HH/LL Labels: Two independent ZigZags (configurable periods) mark pivots and identify Higher Highs / Higher Lows / Lower Highs / Lower Lows.
Quickly visualize volatility channels and trend direction.
Identify breakout vs. mean-reversion conditions.
Spot pivot structure (HH/HL vs. LH/LL) for market structure analysis.
Combine ATR-based stop levels with SMA filter for trade entries/exit
Candle Time Remaining -oxelongcandle timer visible above current candle changes color as it counts down
Stockbee Reversal Bullish v2Custom indicator for identifying stocks that meet the Stockbee's Reversal Bullish New criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
Stockbee Reversal BullishCustom indicator for identifying stocks that meet the Stockbee's Reversal Bullish criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
Crypto OI AgregatedCrypto OI Aggregated — Open Interest Aggregator for Crypto Exchanges
General Description
The indicator is designed for comprehensive analysis of Open Interest (OI) across major cryptocurrency exchanges. It consolidates data from multiple platforms, visualizes it as candlestick charts or deltas, and builds tables with breakdowns by exchange and contract type. This allows traders to quickly understand where market interest is concentrated and how the market structure is shifting.
Unlike standard tools that only show data from a single exchange, this indicator provides a full market overview and makes it easy to compare dynamics across different platforms.
⸻
Key Features
• Aggregation of OI data from exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit (feel free to leave a comment if you’d like me to add other exchanges that provide open interest data)
• Support for contract types: USDT.P, USD.P, USDC.P, USD.PM
• Automatic normalization of various OI data formats from different providers
• Display modes:
• OI candlestick chart (total aggregated OI)
• OI Delta (change in OI per bar)
• Full table with detailed data by exchange and contract type
• Short summary table with totals in USD and base assets
• Support for USD or COIN denomination
• Convenient formatting for large numbers
• Customizable colors
⸻
How to Use the Indicator
1. Select Exchanges
In the settings, enable or disable specific exchanges. It is recommended to activate only the ones you need for analysis — this will make the indicator faster.
2. Choose Data Type
• OI — aggregated open interest from selected exchanges.
• OI delta — delta (change in OI compared to the previous bar).
3. Denomination
• USD — values are converted into USD equivalents.
• COIN — values are shown in the base asset (BTC, ETH, etc.).
4. Reading the Chart
• OI candlesticks show the overall OI dynamics.
• Delta histogram highlights how much OI has grown or decreased per bar.
• Colors are fully customizable.
5. Tables
• Enabled via the Show table option.
• Full Table → Rows = exchanges, Columns = contract types. Cells contain OI values in either USD or the base asset, depending on settings. Quickly shows where the main interest is concentrated.
• Short Table → Displays only the total OI values in USD and the base asset.
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Important Notes
• For better readability of large values, two custom formatting functions were implemented. They work similarly to format.volume, but with improved digit grouping and adjustable decimal precision. In the tables, the top row is formatted using format.volume, while the bottom row uses the improved formatting functions for clearer representation.
str(d, n, s) =>
str.substring(d, 0, str.length(d) - n) + '.' + str.substring(d, str.length(d) - n, str.length(d) - (n - 2)) + s
format(_r) =>
d = str.tostring(math.round(_r))
str.length(d) > 9 ? str(d, 9, " B") : str.length(d) > 6 ? str(d, 6, " M") : str.length(d) > 3 ? str(d, 3, " K") : d
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Conclusion: Crypto OI Aggregated is a convenient and powerful tool for cryptocurrency derivatives traders. It enables tracking of OI dynamics across multiple exchanges simultaneously, detecting imbalances between contracts, and identifying signals that are not visible when analyzing a single exchange.
Pivot Point TrendOverview
A trend-following trailing line built from confirmed pivot highs/lows and ATR bands. The line turns green in uptrends and red in downtrends. A flip happens only when price closes on the other side of the opposite trail, helping filter noise.
How it works:
Finds confirmed swing points (pivots) and builds a smoothed center from them.
From that center, creates ATR-based bands.
The active trail “locks” in the trend: in uptrends it never moves down; in downtrends it never moves up.
Close above the prior upper trail → bullish; close below the prior lower trail → bearish.
Inputs
Pivot Point Period (prd) – strictness of pivot confirmation (delay = prd bars).
ATR Period (pd) and ATR Factor (factor) – band width; higher values = fewer flips.
Calculation timeframe (calcTF) – leave empty to use chart TF, or set a hard TF like 1D, 4H.
Show Center Line – optional central guide.
Line Width – trail thickness.
Alerts
Bullish Flip – trend turns bullish.
Bearish Flip – trend turns bearish.
Trend Changed – any flip event.
Usage tips
Typical crypto intraday starters: prd 2–5, pd 10–14, factor 2.5–3.5.
For smoother signals, compute on a higher TF (e.g., calcTF = 1D) and time entries on your lower TF.
Prefer actions on bar close of the calculation TF to avoid intrabar whipsaw.
Notes on repainting
The script uses request.security(..., lookahead_off). Pivots confirm after prd bars by design; once confirmed, the center and trails do not use future data. Evaluate flips on bar close for consistency, especially when calcTF > chart TF.
Disclaimer
Educational use only. Not financial advice. Trading involves risk.
Snehal Desai's Nifty Predictor This script will let you know all major indicator's current position and using AI predict what is going to happen nxt. for any quetions you can mail me at snehaldesai37@gmail.com. for benifit of all.
NN Crypto Scalping ULTIMATE v6 - MTF mapercivNeural Network Crypto Trading System v6.1
Complete Technical Documentation
Author
: Neural Network Ensemble Trading System
Version
: 6.1 - MTF Corrected & Bias Fixed
Date
: January 2025
Platform
: TradingView PineScript v6
Executive Summary
The
Neural Network Crypto Trading System v6.1
is an advanced algorithmic trading system that combines three specialized neural networks into an intelligent ensemble to generate cryptocurrency trading signals. The system integrates multi-timeframe analysis, crypto-specific optimizations, dynamic risk management, and continuous learning to maximize performance in highly volatile markets.
Key Features:
Ensemble of 3 specialized Neural Networks
(Primary, Momentum, Volatility)
Multi-Timeframe Analysis
with 5 timeframes (5m, 15m, 1h, 4h, 1D)
22 Advanced Features
for each model
Anti-repainting
guaranteed with confirmed data
8 Market Regime
automatic detections
6 Signal Levels
(Strong/Moderate/Weak Buy/Sell)
Professional dashboard
with 15+ real-time metrics
Intelligent alert system
with webhook integration
Pivot Trendlines • Strength • BreakoutPivot Trendlines • Strength • Breakout (closed-source)
Purpose. Draws support/resistance lines by connecting confirmed swing pivots, evaluates their strength (touches + relative volume), and marks breakouts. It’s a visual decision aid: it does not place orders or claim performance.
How it works — calculations & rules
1) Confirmed pivots
Pivots use ta.pivothigh/ta.pivotlow with equal left/right lengths (lenHigh, lenLow). They confirm after length bars, which reduces repaint compared to using raw highs/lows.
2) Candidate line between two pivots
For a pivot pair (b1, p1) → (b2, p2) (bar index, price), the line is:
m = (p2 - p1) / (b2 - b1)
c = p1 - m * b1
y(x) = m * x + c
3) Integrity check (between pivots)
For every bar j between b1 and b2, the price must stay within a tolerance:
tol(j) = |y(j)| * (integrityTolPct / 100)
Resistance (pivot highs): violations when high(j) > y(j) + tol(j)
Support (pivot lows): violations when low(j) < y(j) - tol(j)
The line is accepted only if violations ≤ maxCrosses.
Optional slope rule: Resistance requires p2 ≤ p1, Support requires p2 ≥ p1.
4) Strength score → width/color
Touches: Each time current price is within a touch tolerance of the line:
tolTouchNow = |yNow| * (touchTolPct / 100)
touches are counted.
Relative volume factor:
volFactor = (avg volume at the two pivots) / SMA(volume, volLen)
Score: score = wTouches * touches + wVolume * volFactor
The score maps to line width (clamped to maxWidth) and optionally to color intensity, so stronger levels visually stand out.
5) Breakout detection & signals
Compute the live line value yNow = y(bar_index) and thresholds with an optional buffer %:
Resistance: longThresh = yNow * (1 + breakBufPct/100)
Support: shortThresh = yNow * (1 - breakBufPct/100)
A breakout is when price/close crosses the respective threshold; you can confirm on bar close.
Signals can be drawn as triangles (four fixed sizes) or as labels.
6) Line management
To avoid clutter, the script keeps only the most recent N resistance lines and N support lines. After a breakout, lines can be extended for extraBars.
(Implementation specifics like series/array management are proprietary; the above formulas and decision rules disclose the functioning clearly so traders and moderators can understand and evaluate it.)
Why this is original & useful
Integrity-checked levels: Lines must pass tolerance, max-cross and (optionally) slope checks before drawing—reduces noisy, arbitrary lines.
Quantified emphasis: Levels are emphasized by a numeric strength score combining market interaction (touches) and participation (relative volume).
Actionable signaling: Optional buffer & close-confirmation provide practical breakout markers aligned with how discretionary traders validate breaks.
How to use
Start with default pivot lengths (e.g., 50/50) and enable the slope rule.
Tune Integrity Tolerance % and Max Crosses to your instrument/TF (tighter for scalps, looser for swings).
Adjust wTouches / wVolume to emphasize interaction vs. participation; cap visual noise with Max Line Width and line counts.
For breakouts, use a small buffer % and Confirm on close to reduce false signals.
Use the triangle size or labels to match your visual preference.
Inputs (overview)
Pivot Detection: lenHigh, lenLow.
Trendline Integrity (Filters): integrityTolPct, maxCrosses, minBarsBetweenPivots, enforceSlope.
Drawing / Management: showHighs, showLows, extraBars, touchTolPct.
Strength Scoring: maxWidth, volLen, wTouches, wVolume, useColorByStrength.
Breakout Trigger: breakBufPct, confirmClose.
Signal Display: showSignals, signalStyle, sigSize.
Notes & limitations
Pivots confirm after length bars; before confirmation, potential pivots can change (normal for pivot logic).
Indicator = not a strategy; no orders are executed and no performance is implied.
Always forward-test and apply independent risk management.
TPO Levels [VAH/POC/VAL]Poor H/L, Single Prints& Naked POCs
🎯 Key Features
📊 Multi-Timeframe Market Profile
Daily, Weekly, and Monthly session analysis
Automatic session detection and profile calculation
Historical session preservation up to 20 sessions
📈 Value Area Analysis
Value Area High (VAH) - Upper boundary of 70% activity
Point of Control (POC) - Most traded price level
Value Area Low (VAL) - Lower boundary of 70% activity
Visual Value Area box with customizable transparency
🎯 Naked Points of Control (nPOC)
Daily nPOC tracking with orange lines
Weekly nPOC (WnPOC) visible on all timeframes
Monthly nPOC (MnPOC) visible on all timeframes
Smart POC combining for nearby levels (reduces clutter)
Auto-removal when price touches naked POC
🟪 Single Print Detection
Daily single prints - Purple boxes
Weekly single prints - Blue boxes (persist on daily charts)
Monthly single prints - Teal boxes (persist on daily charts)
Automatic removal upon price touch
Extend right for active monitoring
⚠️ Poor Structure Identification
Poor Highs - Weak resistance (2+ TPOs at high)
Poor Lows - Weak support (2+ TPOs at low)
Pink dashed lines for easy identification
Historical poor structure tracking
Auto-removal when price breaks structure
🔥 Market Generated Information
Buying/Selling tail detection (disabled by default)
Previous session VAH/POC/VAL levels
Clean professional appearance
Minimal chart clutter design
*Default settings were set for BINANCE:BTCUSDT.P
My kind regards to those who sell this indicator for a monthly subscription 😊
Fractal Model [Free+] (T-Trades)Fractal Model - Higher Timeframe Analysis Tool
Advanced higher timeframe candle visualization with T-spot identification, sweep detection, and multi-timeframe price action analysis.
Introduction:
The Fractal Model is a Pine Script indicator that provides advanced higher timeframe (HTF) candle visualization and analysis. It identifies key price action patterns including T-spots, sweep signals, and imbalance zones to help traders understand market structure across multiple timeframes.
Description:
The Fractal Model analyzes price action by creating higher timeframe candles on your current chart, allowing you to see HTF structure without switching timeframes. It identifies specific price action patterns that often precede significant moves, including T-spot formations, sweep confirmations, and fair value gaps.
The indicator uses logarithmic midpoint calculations and pivot detection algorithms to identify high-probability entry and exit points. It automatically detects appropriate higher timeframes based on your current chart timeframe and provides real-time analysis of price action patterns.
Key Features:
Higher Timeframe Candle Visualization: Automatically creates higher timeframe candles on your current chart, allowing you to see HTF structure without switching timeframes. Supports up to 6 different HTF levels with automatic timeframe detection.
T-Spot Identification: Identifies T-spot formations using logarithmic midpoint calculations. T-spots mark areas where price is likely to form wicks based on specific price action patterns including sweep conditions and close position analysis.
Sweep Detection: Detects when price sweeps previous highs or lows but closes on the opposite side, creating potential reversal zones. Includes both high sweeps and low sweeps with visual confirmation lines.
Fair Value Gap (FVG) Detection: Identifies gaps between candle ranges where price didn't trade, creating potential support/resistance zones. Uses three-candle pattern analysis to detect imbalance areas.
Volume Imbalance Detection: Identifies areas where price action shows volume imbalance between consecutive candles, indicating potential continuation or reversal zones.
T-Spot Sweep Confirmation: Advanced confirmation system that requires pivot formation before T-spot touch, then close beyond the pivot level to confirm sweep signals.
TTFM Labeling System: Dynamic labeling system that tracks setup validity with C2, C3, and C4 labels indicating different types of T-spot formations and their confirmation status.
How the Code Works:
1. Higher Timeframe Detection:
The indicator automatically determines appropriate HTF based on your current chart:
- 1m charts: 15m HTF
- 3m charts: 30m HTF
- 5m charts: 1h HTF
- 15m charts: 4h HTF
- 30m-1h charts: 1D HTF
- 4h-8h charts: 1W HTF
- 1D charts: 1M HTF
2. T-Spot Calculation Algorithm:
T-spots are identified using logarithmic midpoint calculations combined with pivot-based logic:
- Calculates log midpoint = exp((log(high) + log(low)) / 2) for wick analysis
- Identifies sweep conditions: high > prev_high AND close < prev_high (bearish) or low < prev_low AND close > prev_low (bullish)
- Creates T-spot zones based on close position relative to logarithmic midpoint
- **Core Logic**: All T-spot formations are based on pivot creation patterns where price sweeps previous levels but closes on the opposite side, creating potential reversal zones
3. Sweep Detection Logic:
The code detects sweeps using pivot analysis:
- Uses ta.pivothigh() and ta.pivotlow() with 1,2 parameters for pivot detection
- Confirms sweeps when: pivot forms before T-spot touch AND close breaks beyond pivot level
- Tracks pivot levels and bars for confirmation validation
- **Pivot-Based Foundation**: The entire system is built on pivot creation logic - T-spots form when price creates pivots by sweeping previous levels but closing opposite, indicating potential reversal points
4. Fair Value Gap Detection:
FVG identification uses three-candle pattern analysis:
- Candle1.l > Candle2.h AND min(Candle1.o, Candle1.c) > max(Candle2.o, Candle2.c) for bullish FVG
- Candle1.h < Candle2.l AND max(Candle1.o, Candle1.c) < min(Candle2.o, Candle2.c) for bearish FVG
5. Visual Rendering System:
Uses array-based object management:
- Clears and redraws all visual elements on each bar
- Manages HTF candles, T-spots, sweeps, and labels using separate arrays
- Implements cleanup logic to prevent memory overflow
6. Pivot-Based T-Spot Types:
The indicator identifies several T-spot patterns based on pivot creation:
- **Standard T-Spots**: Price sweeps previous high/low but closes opposite, creating pivot
- **Expansive T-Spots**: Previous candle sweeps, current candle expands and closes beyond sweep level
- **Pro-trend T-Spots**: Price sweeps logarithmic midpoint but closes beyond previous levels
- **Silver T-Spots**: Special T-spots during specific market hours (4th-5th candle of day)
- All patterns require pivot formation through sweep-and-close logic for validation
Usage Guidance:
Add the Fractal Model indicator to your TradingView chart
Configure HTF settings and T-spot bias preferences
Adjust visual customization options to match your trading style
Monitor T-spot formations and sweep confirmations for entry signals
Trading Applications:
T-Spot Trading:
- Look for T-spot formations on higher timeframes
- Wait for price to touch T-spot levels
- Enter on sweep confirmation with proper pivot validation
- Use T-spot levels as support/resistance zones
Sweep Trading:
- Identify sweep patterns where price breaks previous highs/lows but closes opposite
- Use sweep levels as potential reversal zones
- Combine with T-spot analysis for higher probability setups
Fair Value Gap Trading:
- Trade FVG fills as price returns to imbalance areas
- Use FVG levels as support/resistance zones
- Combine with higher timeframe structure for context
Technical Specifications:
- Compatible with Pine Script v6
- Non-repainting indicator
- Supports all timeframes with automatic HTF detection
- Memory-efficient array management
- Real-time T-spot and sweep detection
- Customizable visual elements and colors
Disclaimer:
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own research and risk management before making trading decisions.
Quantile Regression Bands [BackQuant]Quantile Regression Bands
Tail-aware trend channeling built from quantiles of real errors, not just standard deviations.
What it does
This indicator fits a simple linear trend over a rolling lookback and then measures how price has actually deviated from that trend during the window. It then places two pairs of bands at user-chosen quantiles of those deviations (inner and outer). Because bands are based on empirical quantiles rather than a symmetric standard deviation, they adapt to skewed and fat-tailed behaviour and often hug price better in trending or asymmetric markets.
Why “quantile” bands instead of Bollinger-style bands?
Bollinger Bands assume a (roughly) symmetric spread around the mean; quantiles don’t—upper and lower bands can sit at different distances if the error distribution is skewed.
Quantiles are robust to outliers; a single shock won’t inflate the bands for many bars.
You can choose tails precisely (e.g., 1%/99% or 5%/95%) to match your risk appetite.
How it works (intuitive)
Center line — a rolling linear regression approximates the local trend.
Residuals — for each bar in the lookback, the indicator looks at the gap between actual price and where the line “expected” price to be.
Quantiles — those gaps are sorted; you select which percentiles become your inner/outer offsets.
Bands — the chosen quantile offsets are added to the current end of the regression line to draw parallel support/resistance rails.
Smoothing — a light EMA can be applied to reduce jitter in the line and bands.
What you see
Center (linear regression) line (optional).
Inner quantile bands (e.g., 25th/75th) with optional translucent fill.
Outer quantile bands (e.g., 1st/99th) with a multi-step gradient to visualise “tail zones.”
Optional bar coloring: bars trend-colored by whether price is rising above or falling below the center line.
Alerts when price crosses the outer bands (upper or lower).
How to read it
Trend & drift — the slope of the center line is your local trend. Persistent closes on the same side of the center line indicate directional drift.
Pullbacks — tags of the inner band often mark routine pullbacks within trend. Reaction back to the center line can be used for continuation entries/partials.
Tails & squeezes — outer-band touches highlight statistically rare excursions for the chosen window. Frequent outer-band activity can signal regime change or volatility expansion.
Asymmetry — if the upper band sits much further from the center than the lower (or vice versa), recent behaviour has been skewed. Trade management can be adjusted accordingly (e.g., wider take-profit upslope than downslope).
A simple trend interpretation can be derived from the bar colouring
Good use-cases
Volatility-aware mean reversion — fade moves into outer bands back toward the center when trend is flat.
Trend participation — buy pullbacks to the inner band above a rising center; flip logic for shorts below a falling center.
Risk framing — set dynamic stops/targets at quantile rails so position sizing respects recent tail behaviour rather than fixed ticks.
Inputs (quick guide)
Source — price input used for the fit (default: close).
Lookback Length — bars in the regression window and residual sample. Longer = smoother, slower bands; shorter = tighter, more reactive.
Inner/Outer Quantiles (τ) — choose your “typical” vs “tail” levels (e.g., 0.25/0.75 inner, 0.01/0.99 outer).
Show toggles — independently toggle center line, inner bands, outer bands, and their fills.
Colors & transparency — customize band and fill appearance; gradient shading highlights the tail zone.
Band Smoothing Length — small EMA on lines to reduce stair-step artefacts without meaningfully changing levels.
Bar Coloring — optional trend tint from the center line’s momentum.
Practical settings
Swing trading — Length 75–150; inner τ = 0.25/0.75, outer τ = 0.05/0.95.
Intraday — Length 50–100 for liquid futures/FX; consider 0.20/0.80 inner and 0.02/0.98 outer in high-vol assets.
Crypto — Because of fat tails, try slightly wider outers (0.01/0.99) and keep smoothing at 2–4 to tame weekend jumps.
Signal ideas
Continuation — in an uptrend, look for pullback into the lower inner band with a close back above the center as a timing cue.
Exhaustion probe — in ranges, first touch of an outer band followed by a rejection candle back inside the inner band often precedes mean-reversion swings.
Regime shift — repeated closes beyond an outer band or a sharp re-tilt in the center line can mark a new trend phase; adjust tactics (stop-following along the opposite inner band).
Alerts included
“Price Crosses Upper Outer Band” — potential overextension or breakout risk.
“Price Crosses Lower Outer Band” — potential capitulation or breakdown risk.
Notes
The fit and quantiles are computed on a fixed rolling window and do not repaint; bands update as the window moves forward.
Quantiles are based on the recent distribution; if conditions change abruptly, expect band widths and skew to adapt over the next few bars.
Parameter choices directly shape behaviour: longer windows favour stability, tighter inner quantiles increase touch frequency, and extreme outer quantiles highlight only the rarest moves.
Final thought
Quantile bands answer a simple question: “How unusual is this move given the current trend and the way price has been missing it lately?” By scoring that question with real, distribution-aware limits rather than one-size-fits-all volatility you get cleaner pullback zones in trends, more honest “extreme” tags in ranges, and a framework for risk that matches the market’s recent personality.
Today's 5min HH/LL LinesOverview
This indicator identifies the highest high (HH) and lowest low (LL) formed by the first 5 one-minute candles of the current trading day. Once calculated, it plots continuous horizontal lines at those price levels for the remainder of the day.
How it works
The script internally requests 1-minute data for the current symbol, regardless of your chart’s timeframe.
At the start of each new trading day, it resets counters.
It captures the highest high and lowest low across the first five completed 1-minute candles.
After the 5th one-minute bar closes, it draws:
A green horizontal line at the highest high.
A red horizontal line at the lowest low.
These lines extend to the right, covering the entire trading session, and automatically scale with zoom/pan.
At the next session, the old lines are deleted and recalculated for the new day.
Use cases
Helps spot early intraday support and resistance zones.
Useful for breakout or reversal strategies that monitor when price breaches the first 5-minute range (derived from 5x1m bars).
Can be combined with volume, momentum, or candlestick signals for high-probability entries.
Key features
Works on any timeframe — always uses 1-minute data for precision.
Shows lines only for the current day (no clutter from prior sessions).
Lines are dynamic and adaptive — they remain fixed at the calculated price but extend continuously across the chart.
XAUUSD/SPX Slope with Bollinger Bands %BThe XAUUSD/SPX Slope with Bollinger Bands %B Indicator plots the slope of the XAUUSD (Gold) to SPX (S&P 500) ratio (blue line) using linear regression (default 20 bars) to show Gold’s relative performance against stocks. Bollinger Bands %B (length: 20, StdDev: 2.0) is calculated on the chart’s current symbol (e.g., GLD, BTCUSD) and plotted in yellow, indicating the symbol’s price position within its bands (0 to 1 range). The slope’s zero is aligned with the %B middle band (0.5) for easy comparison. A positive slope (above 0.5) suggests Gold outperforming SPX, while %B above 1 indicates overbought conditions and below 0 indicates oversold for the chart’s symbol. Overbought (1), middle (0.5), and oversold (0) lines, with optional background fills (green for overbought, blue for middle, red for oversold, unchecked by default), aid interpretation. Adjust the slope scale factor for visibility.
Kerzen-Zähler über/unter EMADieses Skript zeigt die Anzahl an Zeitperioden ober/unterhalb eines individuellen EMAs an.
XAUUSD/SPX Slope with MACDThe XAUUSD/SPX Slope with MACD Indicator tracks the slope of the XAUUSD (Gold) to SPX (S&P 500) ratio using linear regression over a customizable lookback period (default 20 bars), plotted as a blue line to show Gold’s relative performance against stocks. A MACD overlay (fast: 12, slow: 26, signal: 9, scaled by 5) is applied to the slope, with a green MACD line, red signal line, and green/red histogram to highlight momentum. A positive slope indicates Gold outperforming SPX, while MACD trends provide additional context. A zero line and background coloring (green for positive slope, red for negative) aid interpretation. Ensure XAUUSD and SPX symbols are supported by your platform.
Usage Notes:
Interpretation:
Slope (Blue): Positive values indicate Gold outperforming SPX; negative values show SPX outperforming.
MACD Components: The green MACD line, red signal line, and histogram (green for positive, red for negative) reflect momentum in the slope. Crossovers or histogram shifts can be analyzed manually for potential trend changes.
Customization: Adjust lookback, macd_fast, macd_slow, or macd_signal to tune sensitivity. The MACD scale is fixed at 5 for clarity.
Symbol Check: Verify "XAUUSD" and "SPX" match your platform’s tickers (e.g., "GOLD" or "SP500").
