Market Structure DashboardThis indicator displays a **multi-timeframe dashboard** that helps traders track market structure across several horizons: Monthly, Weekly, Daily, H4, H1, M15, and M5.
It identifies the current trend (Bullish, Bearish, or Neutral) based on the progression of **swing highs and lows** (HH/HL, LH/LL).
For each timeframe, the dashboard shows:
* The **current structure** (Bullish, Bearish, Neutral) with a clear color code (green, red, gray).
* **Pivot information**:
* either the latest swing high/low values,
* or the exact date and time of their occurrence (user-selectable in the settings).
An integrated **alert system** notifies you whenever the market structure changes (e.g., "Daily: Neutral → Bullish").
### Key Features:
* Clear overview of multi-timeframe market structures.
* Customizable pivot info display (values or timestamps).
* Built-in alerts on trend changes.
* Compact and readable dashboard, displayed in the top-right corner of the chart.
This tool is ideal for traders who want to quickly assess the **overall market structure** across multiple timeframes and be instantly alerted to potential reversals.
ניתוח מגמה
Custom Period High LowSummary
I'm moving over from TradeStation and default Pre-Market Session there is 0800-0930. Default PMS on TradingView is 0400-0930. I find that the 0800-0930 High and Low are more accurate levels. This script addresses exactly that - it allows you to grab High and Low of any custom time slot.
This script started as Custom Pre-Market H/L, that's why the shading. Then I realized it can be used for any custom time period, so I renamed it to PERIOD H/L.
Limitations
Different tickers are provided by different exchanges, in different time zones. The end result is that the SAME session time (0800-0930) may shift for different tickers. Examples:
- SPY : 0800-0930 // no shift: NYSE, in NYC
- ES1!: 0900-1030 // shifted 1 hr ahead: CME, in Chicago
- NQ1!: 0900-1030 // shifted 1 hr ahead: CME, in Chicago
To see for yourself, set Time Zone config parameter to empty string for non-NYC tickers like ES1! or NQ1 and watch times for shaded and non-shaded areas.
Why TV chooses to go by the ticker's TZ, and not the TZ that's configured in the lower right corner of my TV screen - I have no idea. But asking for user's TZ is how you fix it.
If you know how I can get that value so I don't have to ask the user - let me know. I'm new to TV.
Hacks
You can use it more than once for, say, Opening Range Breakout. Configure your custom PMS for 0930-0945, change lines, remove area fill - and ta-da - you have High and Low for first 15 min! See release chart for the example.
Dynamic % Price Change Table with Immediate AlertsDescription:
Stop struggling to track price changes across charts! This indicator shows the real-time percentage change of the last candle for the currently opened stock/chart in a color-coded table. Alerts are triggered immediately when the price change crosses user-defined thresholds, helping you catch moves instantly.
Features:
Dynamic table updating per chart symbol and timeframe
Immediate intrabar alerts for % up/down thresholds
Fully configurable thresholds for alerts. Y OU CAN SET ALERTS FOR YOUR ENTIRE WATCLIST .
No more hassle tracking % price changes manually
Lightweight and optimized for intraday trading.
This code is tested but please start using and let me know if anything is not working fine.
EMA 50/200/100 [NevoxCore]⯁ OVERVIEW
EMA 50/200/100 is a clean EMA trio for trend mapping.
It highlights the classic 50/200 bias, keeps a constant EMA-100 anchor in white, plots cross dots, and can mark the first pullback back to a target EMA within an ATR tolerance.
Solid bias bar coloring (Nevox pink/orange or classic green/red) and compact visuals make it fast and reliable with no repainting.
⯁ HOW IT WORKS
Calculates Fast EMA 50, Slow EMA 200, and an always-on EMA 100 (white).
Bias = Fast vs. Slow: Fast > Slow → long regime; Fast < Slow → short regime.
Cross dots appear at confirmed 50/200 crosses (once per bar close).
First Pullback: after a cross, the script arms a window and marks the first return to the chosen EMA (100 or Fast) within ATR × tolerance.
Bar coloring is solid by regime (pink/orange by default, classic green/red when enabled).
No lookahead; signals confirm on bar close.
⯁ KEY FEATURES
• EMA 50/200 with EMA-100 anchor (always visible, white)
• Cross Up/Down dots (style-configurable)
• First Pullback marker (toggle) with ATR tolerance & window
• Solid bias bar coloring (Nevox or classic)
• Optional bias fill between Fast/Slow
• Minimal 1-cell HUD (OFF by default)
• Ready-made alerts with clean prefixes
⯁ SETTINGS (quick)
Visual: Classic colors toggle; Bias Fill (ON); Fill Transparency (85); Bar Color (solid, ON; auto-disabled when Classic is ON).
Core: Source = Close; EMA Fast = 50; EMA Slow = 200.
Pullback: Show marker (ON); Target EMA = EMA 100; Tolerance × ATR = 0.5; Max Bars After Cross = 40; ATR Length = 14.
HUD: Mini HUD OFF; Position selector.
Status Line: OFF by default (optional EMA values).
⯁ ALERTS (built-in)
• Cross Up (Fast above Slow) — confirmed at bar close
• Cross Down (Fast below Slow) — confirmed at bar close
• First Pullback LONG — first return to target after long cross
• First Pullback SHORT — first return to target after short cross
Prefix: EMA and message includes {{ticker}} {{interval}} @ {{close}}.
Suggested: set TradingView alerts to Once Per Bar Close.
⯁ HOW TO USE
• Read trend quickly: 50 above 200 with a rising 100 = healthy long bias.
• Use the First Pullback to time entries after a cross (default target = EMA 100).
• Tune Tolerance × ATR by symbol/TF; 0.3–0.7 is a good start.
• Keep charts clean: bias fill + barcolor ON; switch to Classic for green/red if preferred.
⯁ WHY IT’S DIFFERENT
It preserves the classic 50/200 logic but adds a consistent EMA-100 anchor, a single, one-shot pullback detector, and clean bias bars — all in a lightweight overlay with no repaint tricks.
⯁ DISCLAIMER
Backtest and paper-trade before using live. Not financial advice. Performance depends on market, timeframe, and parameters.
CQ_MTF Calculated Target Price Lines [BITCOIN HOY]
Comprehensive Indicator Script Overview
Fully Automatic Intraday, Four Hour, Daily, and Weekly Calculated Price Target Lines —A Versatile Tool for Traders.
Welcome to a powerful and flexible indicator script designed to enhance your trading experience across multiple timeframes.
This script empowers users to interactively set, visualize, and manage price targets, entries, and objectives for both
short-term and long-term trading strategies. Whether you are a day trader seeking to mark crucial intraday levels or a
long-term investor planning strategic entries, this tool offers an all-encompassing solution.
Key Features
• Multi-Time Frame Price Target Lines: Calculated price targets for Intraday, Four Hour, Daily, and Weekly periods,
ensuring you always have a clear view of the market objectives at every scale.
• Long-Term Investment Entry Events: Document and display significant entry events for long-term investments, helping
you maintain a strategic perspective while navigating short-term fluctuations.
• Long-Term Price Objectives: Input and track price objectives for your long-term trades, supporting your investment
decisions with clearly visualized milestones.
• Customizable Labels and Lines: Each price target is accompanied by clearly labeled lines, making it easy to distinguish
between timeframes and targets at a glance.
Optional Price Gauge for Intraday Dynamics
For users who wish to monitor real-time market sentiment, the script includes an optional price gauge. This dynamic
feature tracks intraday price movement, providing visual cues to quickly assess whether the prevailing tendency is
bullish or bearish. The intuitive gauge aids in confirming your intraday strategies or alerting you to potential reversals.
User Experience and Customization
• Interactive Inputs: All key parameters—price targets, x-axis prices, entry events, and objectives—are entered manually
by the user. This approach ensures the script adapts to your personal analysis and trading methodology.
• Easy Visualization: The clear display of lines, labels, and the optional gauge streamlines your chart, making it easier
to make informed decisions at a glance.
• Flexible Application: Whether you’re trading short-term swings or building positions for the long haul, the indicator
integrates seamlessly into your workflow.
How to Use
• The script automatically calculates price targets for each timeframe (Intraday, Four Hour, Daily, and Weekly).
• Automatically calculates intra-month price objectives for quick reference and planning.
• To monitor current market momentum, activate the price gauge and follow the visual cues for bullish or bearish trends.
Benefits
• Comprehensive Market Overview: Simultaneously track multiple timeframes and objectives, keeping all critical information at your fingertips.
• Improved Decision Making: Visual clarity and strategic labeling support faster, more confident trading decisions.
• Customizable and Adaptable: Tailor the script to your unique trading style and analytical approach.
Enjoy using the indicator, and happy trading! Let this versatile tool be your companion in navigating the ever-changing
tides of the market.
Mongoose Compass Ribbon — Regime Overlay & SizingWhat it does
Mongoose Compass Ribbon paints the price chart background by market regime and displays a suggested position size.
It mirrors the Compass panel’s 4-pillar score (0–4) and can lock calculations to Weekly while you view Daily or intraday charts.
Regimes
Expansion: score ≥ 3 (green)
Neutral: score = 2 (orange)
Contraction: score ≤ 1 (red)
Pillars (same as panel):
RS IWM/SPY (small-cap leadership)
Credit HYG/LQD (risk financing)
Growth Copper/Gold (cyclical vs safety)
Participation (first available): Breadth → CBOE:DSPX → RSP/SPY proxy
A floating label shows Score and Suggested size (default ramp: 0/30/60/90/100% for scores 0–4).
How to use
Anchor on Weekly. Keep Regime Timeframe = W so the ribbon shows the higher-timeframe state while you trade on Daily.
Act on flips:
Expansion (≥3): increase beta, reduce hedges.
Neutral (2): keep moderate beta; favor quality/mega vs small caps until RS or Cu/Au turns.
Contraction (≤1): de-risk, rotate defensive, add hedges.
Turn on the built-in alerts: Expansion Regime and Contraction Regime.
Methodology
Prices are fetched via request.security on the selected Regime Timeframe.
Each pillar uses ratio signals smoothed with an SMA (Smoothing Length), and binary rules:
RS / Credit / Growth: fast SMA(len) vs slow SMA(len*2)
Breadth: normalized > 60
DSPX: normalized < 40
RSP/SPY proxy: fast > slow
Score is the count of green pillars (0–4).
Suggested size is a fixed mapping from score (user-editable).
Settings
Sources
Defaults use liquid ETFs (BATS/AMEX). Copper/Gold can be switched to futures if your plan supports them.
Breadth (optional): paste a %>MA symbol if you have one. If blank, the script uses CBOE:DSPX; if DSPX isn’t available it falls back to RSP/SPY.
Calculation
Smoothing Length (20) – higher = steadier regime; lower = faster.
Normalization Length (60) – window for 0–100 scaling in pillar tests.
Regime Timeframe (W) – lock regime to Weekly while viewing lower timeframes.
Visual
Ribbon Opacity controls how strong the background shading is.
Recommended usage
Apply the Ribbon to SPY/ES (broad beta) or IWM/RTY (small-cap rotation).
Pair it with the Mongoose Compass v2 panel in a separate pane for the full dashboard.
Limitations & disclaimer
For information and education; not investment advice.
Data availability varies by plan (especially futures and DSPX). Fallbacks apply automatically.
Mongoose Compass v2 — Regime & Position SizingWhat it does
Mongoose Compass v2 is a regime‐detection dashboard and optional price-chart ribbon. It combines four market “pillars” into a 0–4 score and a suggested equity beta/position size. It is scale-independent and works on any host symbol.
Pillars (green = expansion supportive):
RS IWM/SPY – small-cap relative strength vs large caps
Credit HYG/LQD – high-yield vs investment-grade credit
Growth Cu/Au – copper vs gold (cyclical demand vs safety)
Participation – uses the first available of:
Breadth (% > 200-DMA) if you provide a symbol, else
Cboe S&P 500 Dispersion (DSPX), else
RSP/SPY equal-weight proxy
Score (0–4):
≥ 3 = Expansion
2 = Neutral
≤ 1 = Contraction
A panel shows each pillar’s normalized value (0–100), bias, total score, and a suggested size (default mapping: 0/30/60/90/100% for scores 0–4). The companion “Ribbon” script paints the price chart background by regime and displays the suggested size.
How to use
Timeframes
Weekly for regime calls (recommended anchor).
Daily for execution within the active regime (adds, trims, hedges).
Playbook
Expansion (score ≥ 3): increase risk/beta; favor cyclicals, small caps, EM; reduce hedges.
Neutral (score = 2): keep moderate beta; use relative value (e.g., quality/mega vs small caps) until RS or Cu/Au turns.
Contraction (score ≤ 1): de-risk; rotate to defensives/quality, gold/long duration; add hedges.
Alerts (included):
Expansion Regime (score ≥ 3) – risk-on trigger
Contraction Regime (score ≤ 1) – risk-off trigger
Methodology
Prices are pulled with request.security on the chosen timeframe.
Pillars are built from ratios then smoothed with an SMA (Smoothing Length, default 20).
For display/comparison, series are normalized to 0–100 within a rolling window (Normalization Length, default 60).
Bias rules:
RS / Credit / Growth: fast SMA( len ) vs slow SMA( len*2 ) of each ratio
Breadth: normalized value > 60
DSPX: normalized value < 40 (lower dispersion supports index coherence)
RSP/SPY proxy: fast > slow trend test
Score is the count of green pillars (0–4).
Suggested size is a deterministic mapping from score (editable in settings).
Notes:
Host chart scaling (log vs linear) does not affect calculations.
If a breadth series is unavailable, the script automatically falls back to DSPX, then to RSP/SPY.
Settings
Sources
Default inputs use liquid ETFs (BATS/AMEX). You may switch Copper/Gold to futures (e.g., COMEX_DL:HG1!, COMEX_DL:GC1!) if your data plan supports them.
Optional Breadth: paste a percent-above-MA series if you have one.
DSPX: uses CBOE:DSPX when breadth is blank.
If neither breadth nor DSPX resolve, the script uses RSP/SPY as a participation proxy.
Calculation
Smoothing Length (20) – higher = steadier regime, fewer flips; lower = faster reaction.
Normalization Length (60) – window for the 0–100 scaling; increase to reduce pinning at extremes.
Regime Timeframe (Ribbon only) – lock the ribbon to Weekly while viewing Daily charts.
Visual
Show/hide dashboard table, choose table position, dark/light theme, ribbon opacity.
Recommended usage
Anchor decisions on Weekly Compass; use Daily for timing.
For small-cap rotation, apply on IWM/RTY; for broad beta, use SPY/ES. Output is identical regardless of host symbol because inputs are fetched internally.
Limitations & disclaimer
This is a systematic information tool, not investment advice.
Signals can whipsaw in fast markets; confirm with your risk framework.
Data availability varies by plan (especially futures and DSPX). When a source is unavailable the scripted fallbacks apply automatically.
Adaptive Machine Learning Trading System [PhenLabs]📊Adaptive ML Trading System
Version: PineScript™v6
📌Description
The Adaptive ML Trading System is a sophisticated machine learning indicator that combines ensemble modeling with advanced technical analysis. This system uses XGBoost, Random Forest, and Neural Network algorithms to generate high-confidence trading signals while incorporating robust risk management features. Traders benefit from objective, data-driven decision-making that adapts to changing market conditions.
🚀Points of Innovation
• Machine Learning Ensemble - Three integrated models (XGBoost, Random Forest, Neural Network)
• Confidence-Based Trading - Only executes trades when ML confidence exceeds threshold
• Dynamic Risk Management - ATR-based stop loss and max drawdown protection
• Adaptive Position Sizing - Volatility-adjusted position sizing with confidence weighting
• Real-Time Performance Metrics - Live tracking of win rate, Sharpe ratio, and performance
• Multi-Timeframe Feature Analysis - Adaptive lookback periods for different market regimes
🔧Core Components
• ML Ensemble Engine - Weighted combination of XGBoost, Random Forest, and Neural Network outputs
• Feature Normalization System - Advanced preprocessing with custom tanh/sigmoid activation
• Risk Management Module - Dynamic position sizing and drawdown protection
• Performance Dashboard - Real-time metrics and risk status monitoring
• Alert System - Comprehensive alert conditions for entries, exits, and risk events
🔥Key Features
• High-confidence ML signals with customizable confidence thresholds
• Multiple trading modes (Conservative, Balanced, Aggressive) for different risk profiles
• Integrated stop loss and risk management with ATR-based calculations
• Real-time performance metrics including win rate and Sharpe ratio
• Comprehensive alert system with entry, exit, and risk management notifications
• Visual confidence bands and threshold indicators for easy signal interpretation
🎨Visualization
• ML Signal Line - Primary signal output ranging from -1 to +1
• Confidence Bands - Visual representation of model confidence levels
• Threshold Lines - Customizable buy/sell threshold levels
• Position Histogram - Current market position visualization
• Performance Tables - Real-time metrics display in customizable positions
📖Usage Guidelines
Model Configuration
• Confidence Threshold: Default 0.55, Range 0.5-0.95 - Minimum confidence for signals
• Model Sensitivity: Default 0.9, Range 0.1-2.0 - Adjusts signal sensitivity
• Ensemble Mode: Conservative/Balanced/Aggressive - Trading style preference
• Signal Threshold: Default 0.55, Range 0.3-0.9 - ML signal threshold for entries
Risk Management
• Position Size %: Default 10%, Range 1-50% - Portfolio percentage per trade
• Max Drawdown %: Default 15%, Range 5-30% - Maximum allowed drawdown
• Stop Loss ATR: Default 2.0, Range 0.5-5.0 - Stop loss in ATR multiples
• Dynamic Sizing: Default true - Volatility-based position adjustment
Display Settings
• Show Signals: Default true - Display entry/exit signals
• Show Threshold Signals: Default true - Display ±0.6 threshold crosses
• Show Confidence Bands: Default true - Display ML confidence levels
• Performance Dashboard: Default true - Show metrics table
✅Best Use Cases
• Swing trading with 1-5 day holding periods
• Trend-following strategies in established trends
• Volatility breakout trading during high-confidence periods
• Risk-adjusted position sizing for portfolio management
• Multi-timeframe confirmation for existing strategies
⚠️Limitations
• Requires sufficient historical data for accurate ML predictions
• May experience low confidence periods in choppy markets
• Performance varies across different asset classes and timeframes
• Not suitable for very short-term scalping strategies
• Requires understanding of basic risk management principles
💡What Makes This Unique
• True machine learning ensemble with multiple model types
• Confidence-based trading rather than simple signal generation
• Integrated risk management with dynamic position sizing
• Real-time performance tracking and metrics
• Adaptive parameters that adjust to market conditions
🔬How It Works
Feature Calculation: Computes 20+ technical features from price/volume data
Feature Normalization: Applies custom normalization for ML compatibility
Ensemble Prediction: Combines XGBoost, Random Forest, and Neural Network outputs
Signal Generation: Produces confidence-weighted trading signals
Risk Management: Applies position sizing and stop loss rules
Execution: Generates alerts and visual signals based on thresholds
💡Note:
This indicator works best on daily and 4-hour timeframes for most assets. Ensure you understand the risk management settings before live trading. The system includes automatic risk-off modes that halt trading during excessive drawdown periods.
Market Sentiment Trend Gauge [LevelUp]Market Sentiment Trend Gauge simplifies technical analysis by mathematically combining momentum, trend direction, volatility position, and comparison against a market benchmark, into a single trend score from -100 to +100. Displayed in a separate pane below your chart, it resolves conflicting signals from RSI, moving averages, Bollinger Bands, and market correlations, providing clear insights into trend direction, strength, and relative performance.
THE PROBLEM MARKET SENTIMENT TREND GAUGE (MSTG) SOLVES
Traditional indicators often produce conflicting signals, such as RSI showing overbought while prices rise or moving averages indicating an uptrend despite market underperformance. MSTG creates a weighted composite score to answer: "What's the overall bias for this asset?"
KEY COMPONENTS AND WEIGHTINGS
The trend score combines
▪ Momentum (25%): Normalized 14-period RSI, capped at ±100.
▪ Trend Direction (35%): 10/21-period EMA relationships,
▪ Volatility Position (20%): Price position, 20-period Bollinger Bands, capped at ±100.
▪ Market Comparison (20%): Daily performance vs. SPY benchmark, capped at ±100.
Final score = Weighted sum, smoothed with 5-period EMA.
INTERPRETING THE MSTG CHART
Trend Score Ranges and Colors
▪ Bright Green (>+30): Strong bullish; ideal for long entries.
▪ Light Green (+10 to +30): Weak bullish; cautiously favorable.
▪ Gray (-10 to +10): Neutral; avoid directional trades.
▪ Light Red (-10 to -30): Weak bearish; exercise caution.
▪ Bright Red (<-30): Strong bearish; high-risk for longs, consider shorts.
Reference Lines
▪ Zero Line (Gray): Separates bullish/bearish; crossovers signal trend changes.
▪ ±30 Lines (Dotted, Green/Red): Thresholds for strong trends.
▪ ±60 Lines (Dashed, Green/Red): Extreme strength zones (not overbought/oversold); manage risk (tighten stops, partial profits) but trends may persist.
Background Colors
▪ Green Tint (>+20): Bullish environment; favorable for longs.
▪ Red Tint (<-20): Bearish environment; caution for longs.
▪ Light Gray Tint (-20 to +20): Neutral/range-bound; wait for signals.
Extreme Readings vs. Traditional Signals
MSTG ±60 indicates maximum alignment of all factors, not reversals (unlike RSI >70/<30). Use for risk management, not automatic exits. Strong trends can sustain extremes; breakdowns occur below +30 or above -30.
INFORMATION TABLE INTERPRETATION
Trend Score Symbols
▲▲ >+30 strong bullish
▲ +10 to +30
● -10 to +10 neutral
▼ -30 to -10
▼▼ <-30 strong bearish
Colors: Green (positive), White (neutral), Red (negative).
Momentum Score
+40 to +100 strong bullish
0 to +40 moderate bullish
-40 to 0 moderate bearish
-100 to -40 strong bearish
Market vs. Stock
▪ Green: Stock outperforming market
▪ Red: Stock underperforming market
Example Interpretations:
-0.45% / +1.23% (Green): Market down, stock up = Strong relative strength
+2.10% / +1.50% (Red): Both rising, but stock lagging = Relative weakness
-1.20% / -0.80% (Green): Both falling, but stock declining less = Defensive strength
UNDERSTANDING EXTREME READINGS VS TRADITIONAL OVERBOUGHT/OVERSOLD
⚠️ Critical distinctions
Traditional Overbought/Oversold Signals:
▪ Single indicator (like RSI >70 or <30) showing momentum excess
▪ Often suggests immediate reversal or pullback expected
▪ Based on "price moved too far, too fast" concept
MSTG Extreme Readings (±60):
▪ Composite alignment of 4 different factors (momentum, trend, volatility, relative strength)
▪ Indicates maximum strength in current direction
▪ NOT a reversal signal - means "all systems extremely bullish/bearish"
Key Differences:
▪ RSI >70: "Price got ahead of itself, expect pullback"
▪ MSTG >+60: "Everything is extremely bullish right now"
▪ Strong trends can maintain extreme MSTG readings during major moves
▪ Breakdowns happen when MSTG falls below +30, not at +60
Proper Usage of Extreme Readings:
▪ Risk Management: Tighten stops, take partial profits
▪ Position Sizing: Reduce new position sizes at extremes
▪ Trend Continuation: Watch for sustained extreme readings in strong markets
▪ Exit Signals: Look for breakdown below +30, not reversal from +60
TRADING WITH MSTG
Quick Assessment
1. Check trend symbol for direction.
2. Confirm momentum strength.
3. Note relative performance color.
Examples:
▲▲ 55.2 (Green), Momentum +28.4, Outperforming: Strong buy setup.
▼ -18.6 (Red), Momentum -43.2, Underperforming: Defensive positioning.
Entry Conditions
▪ Long: stock outperforming market
- Score >+30 (bright green)
- Sustained green background
- ▲▲ symbol,
▪ Short: stock underperforming market
- Score <-30 (bright red)
- Sustained red background
- ▼▼ symbol
Avoid Trading When:
▪ Gray zone (-10 to +10).
▪ Rapid color changes or frequent zero-line crosses (choppy market).
▪ Gray background (range-bound).
Risk Management:
▪ Stop Loss: Exit on zero-line crossover against position.
▪ Take Profit: Partial at ±60 for risk control.
▪ Position Sizing: Larger when signals align; smaller in extremes or mixed conditions.
KEY ADVANTAGES
▪ Unified View: Weighted composite reduces noise and conflicts.
▪ Visual Clarity: 5-color system with gradients for rapid recognition.
▪ Market Context: Relative strength vs. SPY identifies leaders/laggards.
▪ Flexibility: Works across timeframes (1-min to weekly); customizable table.
▪ Noise Reduction: EMA smoothing minimizes false signals.
EXAMPLES
Strong Bull: Trend Score 71.9, Momentum Score 76.9
Neutral: Trend Score 0.1, Momentum Score -9.2
Strong Bear: Trend Score -51.7, Momentum Score -51.5
PERFORMANCE AND LIMITATIONS
Strengths: Trend identification, noise reduction, relative performance versus market.
Limitations: Lags at turning points, less effective in extreme volatility or non-trending markets.
Recommendations: View on multiple timeframes, combine with price action and fundamentals.
Relative Performance Indicator - TrendSpider StyleRelative Performance Indicator - TrendSpider Style
📈 Overview
This Relative Performance (RP) indicator measures how your stock is performing compared to a benchmark index, displayed as a percentile ranking from 0-100. Based on TrendSpider's methodology, it answers the critical question: "Is this stock a leader or a laggard?"
Unlike simple ratio charts, this indicator uses percentile ranking to normalize relative performance, making it easy to identify when a stock is showing exceptional strength (>80) or concerning weakness (<20) compared to its historical relationship with the benchmark.
✨ Key Features
Three Calculation Modes:
Quarterly: 3-month relative performance for swing trading
Yearly: Weighted 4-quarter performance for position trading
TechRank: Composite of 6 technical indicators for multi-factor analysis
Clean Visual Design:
Green fills above 80 (strong outperformance)
Red fills below 20 (significant underperformance)
Dotted median line at 50 for quick reference
Current value label for instant reading
Flexible Benchmarks:
Compare against major indices (SPY, QQQ, IWM)
Sector ETFs for within-sector analysis
Custom symbols for specialized comparisons
Built-in Alerts:
Strong performance zone entry (>80)
Weak performance zone entry (<20)
Median crossovers (50 level)
📊 How To Use
Buy Signals:
RP crosses above 80: Stock entering leadership status
RP holding above 60: Maintaining relative strength
RP rising while price consolidating: Accumulation phase
Sell/Avoid Signals:
RP drops below 50: Losing relative strength
RP below 20: Significant underperformance
RP falling while price rising: Bearish divergence
Sector Rotation:
Compare multiple assets to find strongest sectors
Rotate into high RP assets (>70)
Exit low RP positions (<30)
🎯 Reading The Values
80-100: Exceptional outperformance - Strong buy/hold
60-80: Moderate outperformance - Hold positions
40-60: Market perform - No edge
20-40: Underperformance - Caution/reduce
0-20: Severe underperformance - Avoid/exit
⚙️ Calculation Method
Calculates percentage performance of both your stock and the benchmark
Finds the performance differential
Ranks this differential against historical values using percentile analysis
Normalizes to 0-100 scale for easy interpretation
This percentile approach adapts to different market conditions and volatility regimes, providing consistent signals whether in trending or choppy markets.
💡 Pro Tips
For Growth Stocks: Use quarterly mode with QQQ as benchmark
For Value Stocks: Use yearly mode with SPY as benchmark
For Small Caps: Compare against IWM, not SPY
For Sector Analysis: Use sector ETFs (XLK, XLF, XLE, etc.)
Combine with Price Action: High RP + price breakout = powerful signal
⚠️ Important Notes
RP is relative, not absolute - stocks can fall with high RP if the market falls harder
Choose appropriate benchmarks for meaningful comparisons
Best used in conjunction with price action and volume analysis
Historical lookback period affects sensitivity (adjustable in settings)
🔧 Customization
Fully customizable visual settings, thresholds, calculation periods, and smoothing options. Adjust the normalization lookback period (default 252 days) to fine-tune sensitivity to your trading timeframe.
📌 Credit
Inspired by TrendSpider's Relative Performance implementation, adapted for TradingView with enhanced customization options and Pine Script v6 optimization.
Tags to include: relativeperformance, relativestrength, percentile, ranking, sectorrotation, benchmark, outperformance, trendspider, marketbreadth, strengthindicator
Category: Momentum Indicators / Trend Analysis
Feel free to modify this description to match your style or add any specific points you want to emphasize!
BOS & ChoCh Market StructureBOS/ChoCh Market Structure Indicator
This indicator identifies key market structure shifts using Break of Structure (BOS) and Change of Character (ChoCh) signals based on pivot point analysis.
Concept
Break of Structure (BOS) occurs when price breaks through a significant pivot level in the direction of the current trend, signaling trend continuation. A bullish BOS happens when price breaks above a pivot high while in an uptrend, while a bearish BOS occurs when price breaks below a pivot low during a downtrend.
Change of Character (ChoCh) signals a potential trend reversal. It occurs when price breaks against the prevailing trend - breaking above a pivot high while in a downtrend, or breaking below a pivot low while in an uptrend. This indicates the market structure is shifting.
How It Works
The indicator automatically detects swing highs and lows using configurable pivot strength. When price breaks these levels, it plots:
Color-coded labels (cyan for bullish breaks, red for bearish breaks)
Small horizontal lines marking the exact breakout level
Extended lines from pivot points showing key support/resistance levels
Settings
Pivot Strength - Number of candles on each side required to confirm a swing high/low (default: 5). Higher values identify more significant pivots but produce fewer signals.
Breakout Confirmation - Choose whether breakouts require a candle close beyond the level ("Close") or just a wick touch ("Wick").
Show BOS / Show ChoCh - Toggle visibility of Break of Structure and Change of Character signals independently.
Colors - Customize the colors for bullish (cyan) and bearish (red) signals.
Perfect for swing traders and market structure analysis.
Sector RSI (Auto-Select)This indicator measures the relative strength momentum of any stock against its most closely correlated sector ETF, using the Relative Strength Index (RSI).
Auto sector selection: The script computes correlations between your symbol’s short-term returns and all major SPDR sector ETFs (XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV, XLY, XTN). The sector with the highest correlation is automatically chosen as the benchmark.
Sector vs Symbol RSI: It calculates RSI (default 14-period) for both the chosen sector and the current chart’s symbol.
Display modes:
Line mode: Plots both RSIs with colored fill (red if the sector RSI is stronger, green if the symbol RSI is stronger).
Histogram mode: Shows the difference between Sector RSI and Symbol RSI as a column chart.
RSI bands: Standard 70/50/30 reference lines are available in line mode.
Status line: The selected sector’s ticker is shown on the TradingView status line so you always know which sector is being used.
Use Cases:
Identify whether a stock’s momentum is driven by its sector or if it’s showing independent relative strength.
Detect sector rotations: when the stock begins to outperform or underperform its sector on momentum basis.
Combine with absolute RSI levels (overbought/oversold) to filter signals.
Notes:
This tool infers sector membership via rolling correlation, not from static classification metadata. This means in some cases (e.g. diversified companies or news shocks) the “best” sector may not be the official one, but the one most correlated in the current market regime.
Use min positive correlation input to filter out weak matches and enforce a fallback (defaults to Technology XLK).
CNagda-MomentumX - Institutional FlowMomentumX is designed to empower traders with a deeper understanding of market movements by focusing on Institutional Flow and advanced market structure analytics. The core goal is to identify and visualize where major market participants are operating, and to translate these complex footprints into clear, actionable trading signals — all in real time.
Real-time institutional activity mapping
Actionable entry and exit signals based on live market structure
Intuitive dashboard and dynamic chart visuals
Fully customizable modules for trend, liquidity, and order blocks
Core Logic Design
At the heart of MomentumX lies a robust algorithmic engine built to capture and surface institutional trading behavior. By leveraging advanced mathematical models, the indicator calculates institutional volume ratios and price momentum to pinpoint aggressive moves from large participants.
Institutional Volume & Price Momentum:
Utilizes custom volume indicators and price change analysis to detect strong buying or selling pressure, filtering out retail noise.
Liquidity Grab Detection & Activity Zones:
The script identifies liquidity grabs by monitoring abrupt price sweeps at major support/resistance levels—often where institutions trigger stop hunts or reversals. All critical activity zones are automatically color-coded on the chart for instant recognition.
Dashboard Visualization:
A fully dynamic dashboard table overlays live scores for accumulation, distribution, strength, and weakness—giving traders a real-time scan of market health.
Trendline & Order Block Architecture:
The logic auto-detects pivot highs/lows to draw smart trendlines, while the order block system highlights key reversal areas and breaker zones—making market structure clear and actionable.
MomentumX is packed with high-performance modules, each engineered to simplify complex market behavior and enhance decision-making for traders:
Institutional Flow Signals:
Instantly identifies spots where institutional players drive momentum, using unique volume and price activity analytics.
Bullish/Bearish Liquidity Grab Detection:
Marks abrupt price moves that signal stop hunts or reversals, letting traders anticipate snap-backs or trend shifts.
Trendline Auto-Detection:
Smartly draws trendlines based on significant swing highs and lows, automatically adjusting as price evolves.
Order Block System (Rejection/Breaker):
Spots and highlights key reversal zones with order block rectangles, confirming rejections or breakouts at strategic levels.
Dashboard and Bar Coloring:
A clean dashboard overlay presents live market scores, while dynamic bar coloring makes trend, strength, and high-activity periods instantly visible.
User Input Toggles for Each Module:
Every major feature is fully customizable—enable or disable modules to match individual trading setups or preferences.
Scripting/Development
MomentumX’s scripting process is modular, enabling clarity, scalability, and fast optimization throughout development:
Initialization & Inputs:
Start by defining all user input options, module toggles, color settings, and calculation parameters—ensuring maximum flexibility early on.
Core Calculation Functions:
Script advanced institutional volume and price momentum algorithms. Build out swing length logic, market state filters, and activity scoring methods.
Detection Engines:
Develop and integrate engines for liquidity grabs, automated trendline detection, and order block identification—each with dedicated functions for speed and precision.
Visual Overlays & Plotting:
Implement powerful plotting logic for colored bars, score dashboards, trendlines, reversal zones, and liquidity markers—making every data point clear and actionable on the chart.
Testing Handlers:
Add diagnostic panels and debug outputs to refine calculations and assure accuracy in every market environment.
Sample Trade Setups (Usage)
Cnagda MomentumX delivers clarity for multiple trading styles by providing timely, actionable setups grounded in institutional behavior and market structure. Here’s how traders can leverage the indicator for confident decision-making:
Liquidity Grab Reversal
Enter trades around detected liquidity grabs when price sweeps major support/resistance and the dashboard signals a momentum shift.
Example: Wait for a bullish/Bearish grab near market lows/high, with institutional flow turning positive/negative—enter long/short for potential mean reversion.
Order Block Breakout
Trade breakouts when price cleanly rejects or flips key order block zones highlighted on the chart.
Example: Short at a marked breaker block after a rejection signal, confirmed by a downward institutional activity spike.
Trendline Continuation
Ride established market moves by entering on trendline confirmations plotted by the auto-detect system.
Example: Go long after a trendline retest, confirmed by a green bar color and dashboard strength score.
Dashboard Confirmation
Combine dashboard metrics (strength, accumulation, distribution) with bar color overlays for multi-factor entries.
Example: Enter trades only when all market signals align in real time for maximum probability.
For Short Entry check -- Weakness : For Long Entry Check - Strength With Other Indications
MomentumX is not just another indicator – it’s your edge for reading the market like an insider. By transparently mapping institutional flow, uncovering hidden liquidity zones, and color-coding every major structure shift, MomentumX transforms complexity into actionable clarity. Whether you’re scalping, swing trading, or investing, you’ll gain a decisive, real-time advantage on every chart.
Embrace smarter decisions, adapt to changing market conditions instantly, and join a new generation of technically empowered traders.
Customize, observe, and let the market reveal opportunities in a way you’ve never experienced before.
Happy Trading
RSI Zone Heat map (20/40/60/80 Levels)This indicator enhances the classic RSI by highlighting key momentum zones with intuitive background colors.
• Horizontal reference levels at 20, 40, 60, and 80.
• Greenish hue when RSI oscillates between 40–80, signaling a healthier momentum zone.
• Reddish hue when RSI oscillates between 20–60, warning of weaker momentum.
• The overlap zone (40–60) dynamically shifts: green bias above 50, red bias below 50.
This visualization makes it easier to spot when RSI is leaning toward strength or weakness at a glance.
Use it as a complement to your trading strategy for clearer confirmation of potential overbought/oversold shifts and momentum transitions.
3Bars [TheAlphaGroup]3Bars Setup (Original by. Larry Williams)
The “3Bars” is a classic setup from Larry Williams, designed to capture short-term reversals within a larger trend. It uses very simple ingredients: moving averages of the highs and lows.
How It Works
Bands Calculation
– A short moving average (default = 3) is applied separately to the Highs and to the Lows.
– The average of the Lows forms the lower band .
– The average of the Highs forms the upper band .
Trade Logic
– In an uptrend (price above a longer MA, default = 21 EMA or SMA), the system looks for longs.
• Entry: Buy at the lower band.
• Exit: Sell at the upper band.
– In a downtrend (price below the 21 EMA/SMA), the system looks for shorts.
• Entry: Sell at the upper band.
• Exit: Cover at the lower band.
Safety Net
– If the trade doesn’t hit its band exit, it is force-closed after X bars (default = 7).
– Users can select SMA or EMA for both the bands and the trend filter.
– Direction can be toggled: Long only, Short only, or Both.
Why It’s Interesting
The method tries to ride the market “channel” between recent highs and lows.
It doesn’t chase breakouts, it waits for price to pull back into a band before positioning.
It’s rule-based and mechanical, which makes it easy to test and automate.
Disclaimer
This script is for educational and research purposes only .
It is not financial advice and does not guarantee profitability.
Always backtest on multiple markets and timeframes, and use proper risk management.
About the Yellow Warning Box
“Caution! This strategy may use look-ahead bias…”
Note: The warning shows because Pine doesn’t “trust” limit orders that are priced with data from completed bars. The current version is already safe (no repaint/look-ahead) , but TradingView cannot automatically confirm that.
To silence the warning, you’d need to shift all logic by one more bar ( ) or use market orders. But that sacrifices realism.
If you care about accurate band-based fills more than the warning box, it is safe to ignore it.
Pivot Points + VWAP + EMA200 + Fixed Range VP (POC)Indicator description — Pivot Points + VWAP + EMA200 + Fixed Range VP (POC)
Short summary
A composite TradingView indicator (Pine v6) that overlays classic pivot points, session/period VWAP with optional deviation bands, an EMA-200 trend filter, and a fixed-range volume profile with Value Area and Point Of Control (POC). Designed to give a single view of key horizontal levels (pivots, VWAP bands, POC) and trend context to speed intraday and swing trade decisions.
Key features
Multiple Pivot types & anchor periods — Traditional, Fibonacci, Woodie, Classic, DM, Camarilla; anchors from Auto/Daily up to multi-year. Option to calculate from daily values on intraday charts.
Pivot drawing & labels — Draws historical pivot levels with configurable colors, line width, label position (Left/Right) and how many pivot periods to keep. Automatically trims older pivot sets beyond the configured limit.
VWAP + deviation bands — VWAP anchored to Session / Week / Month / Quarter / Year (plus Earnings/Dividends/Splits). Optional bands by Standard Deviation or Percentage (up to 3 multipliers). Option to hide on daily/weekly/monthly (DWM) charts.
EMA-200 trend filter — Plotted as a clear orange line; use to identify major trend bias.
Fixed-range Volume Profile (VP) with POC — Builds a fixed lookback VP over bbars bars, shows up/down volume boxes, value area (percent configurable) and draws the POC line + optional POC label. VP is rendered as boxed histogram with configurable rows and colors.
Performance/robustness safeguards — Handles multi-timeframe pivots, provides clear runtime errors when intraday data is insufficient for requested pivot timeframe, and caps the number of drawn objects to avoid overrun.
Inputs & what they do (high level)
Pivot Settings
Type: pivot formula (Traditional, Fibonacci, etc.).
Pivots Timeframe: Auto / Daily / Weekly / Monthly / ... multi-year.
Number of Pivots Back: how many historical pivot periods to keep.
Use Daily-based Values: when enabled, pivots always use daily OHLC (useful on intraday charts).
Show Labels / Show Prices / Labels Position / Line Width — visual tweaks for pivot lines and labels.
Pivot Levels / Colors — Toggle visibility and color for P, R1..R5, S1..S5 (levels shown depend on pivot type).
VWAP Settings
Hide VWAP on 1D or Above: hides VWAP on daily+ charts.
Anchor Period: Session / Week / Month / Quarter / Year / Decade / Century / Earnings / Dividends / Splits.
VWAP Source (default hlc3) and Offset.
Bands Settings
Bands Mode: Standard Deviation or Percentage.
Multipliers: up to three bands (1×, 2×, 3× by default); toggle visible bands.
Volume Profile (VP)
VP Lookback Bars (bbars): number of bars included in fixed range.
VP Rows (cnum): vertical resolution (number of price bins).
Value Area %: e.g., 70%.
POC Color / Width, Up/Down colors and Show POC Label.
How to use it (practical tips)
Trend filter: use EMA-200 — price above EMA200 = bullish bias, below = bearish bias.
VWAP confluence: intraday trades near VWAP or VWAP bands often have higher confluence. Use the selected anchor (Session for intraday, Week/Month for swing).
Pivot levels for targets & S/Ls: pivot levels (P, R1/R2, S1/S2…) make quick, rule-based targets and stops. Combine pivot + VWAP/POC for stronger S/R.
Volume Profile & POC: POC = single price with highest traded volume in the range — acts as a magnet/support/resistance. Use value area (VA) boundaries to spot acceptance/rejection.
Multi timeframe: choose pivot anchor appropriate to your horizon (Session/Daily for intraday scalps; Weekly/Monthly for swing). If you lack intraday history, enable “Use Daily-based Values” to avoid pivot errors.
Performance note: the fixed-range VP is calculated only on the last bar (barstate.islast) and draws boxes/POC accordingly — the VP will represent the configured lookback ending at the latest bar.
Limitations & gotchas
Intraday pivot calculation needs sufficient history. If you request intraday pivots but the chart lacks enough bars, the script throws a runtime error with guidance.
VP is built only on the last bar (to keep resource usage reasonable). That means the VP boxes and POC are recalculated for the latest lookback window; historical VP boxes are removed each update.
Object count: indicator creates many graphical objects (lines, labels, boxes). The script includes caps and cleanup, but very long backtests or extremely small pivot intervals may still use many objects — adjust “Number of Pivots Back” and VP lookback to manage.
Repainting considerations: pivots use request.security(..., lookahead=barmerge.lookahead_on) for daily-based option and time synchronization; be mindful when using historical bar-by-bar automation or backtesting — visual levels are intended for analysis and manual decision-making rather than automated entry triggers without further validation.
Compatibility & installation
Pine Script version: v6. Use on TradingView.
Add to chart: Copy the whole script into TradingView’s Pine editor, save and add to chart. Ensure sufficient chart history for selected pivot/VP settings.
Suggested default workflow (example)
Set Pivot Anchor = Session, Type = Traditional, Use Daily-based Values = off for true intraday pivots.
VWAP Anchor = Session, show Band #1 at 1× for quick mean-reversion zones.
EMA-200 visible (default) to filter trade direction.
VP Lookback Bars ~ 150, Value Area 70% to see a 150-bar market profile and POC.
Trade entries: look for price reaction (rejection / engulfing / volume spike) at pivot/R1/VWAP/POC aligned with EMA-200 trend.
Short blurb (for scripts list / marketplace)
Pivot Points + VWAP + EMA200 + Fixed Range VP (POC) — a compact, all-in-one overlay that combines classic pivot levels, session-anchored VWAP with deviation bands, a 200-period EMA trend filter, and a fixed-range volume profile with Value Area and POC. Built for intraday and swing traders who want consolidated horizontal structure and volume context on one chart.
Combined SMA with Murrey Math and Fixed Fractal Bands "Combined SMA with Murrey Math and Fixed Fractal Bands" , overlaying a Simple Moving Average (SMA), Murrey Math (MM) bands, and fixed fractal bands on a price chart. Here's a brief description of its functionality:Inputs:SMA Length: Configurable period for the SMA (default: 180 bars).
Resolution: Optional custom timeframe for data.
Frame Size for MM: Lookback period for Murrey Math calculations (default: 180 bars, adjustable via multiplier).
Ignore Wicks: Option to use open/close prices instead of high/low for MM calculations.
Fixed Fractal Size: Fixed distance in points for fractal bands (default: 1.22).
Shade 3/8-5/8 Overlap: Option to highlight overlapping regions between SMA-centered and absolute MM bands.
Data Source:Uses open, close, high, and low prices from the specified ticker and timeframe.
Optionally ignores wicks (high/low) for MM calculations, using max/min of open/close instead.
SMA Calculation:Computes a Simple Moving Average (SMA) based on the closing price and user-defined length.
Murrey Math Bands:Absolute MM Bands: Calculated using a dynamic range based on the highest/lowest prices over a lookback period, scaled logarithmically to create 13 levels (from -3/8 to +3/8, with 8/8 as the midpoint). These adapt to price action.
SMA-Centered MM Bands: Constructs MM bands relative to the SMA, with levels (0/8 to 8/8) spaced by a calculated increment derived from the absolute MM range.
Colors bands dynamically (green for bullish, red for bearish, gray for neutral) based on changes in the 4/8 level or increment, with labels indicating "Higher," "Lower," or "Same" states.
Fixed Fractal Bands:Plots six fixed-distance bands (±1, ±2, ±3) around the SMA, using a user-defined point value (default: 1.22).
Overlaps and Shading:Detects overlaps between SMA-centered and absolute MM bands at key levels (7/8-8/8, 0/8-1/8, and optionally 3/8-5/8).
Shades overlapping regions with distinct colors (red for 7/8-8/8, green for 0/8-1/8, blue for 3/8-5/8).
Fills specific SMA-centered MM regions (3/8-5/8, 0/8-1/8, 7/8-8/8) for visual emphasis.
Visualization:Plots SMA-centered MM bands, absolute MM bands, and fixed fractal bands as stepped lines with varying colors and transparency.
Displays a table at the bottom-right showing the current MM increment value.
Adds labels when the 4/8 level or increment changes, indicating trend direction.
In summary, this indicator combines a user-defined SMA with Murrey Math bands (both absolute and SMA-centered) and fixed fractal bands to provide a multi-level support/resistance framework. It highlights dynamic price levels, trend direction, and key overlaps, aiding traders in identifying potential reversal or consolidation zones.
Hurst‑Millard FLD Normalized 2.0 – Signals "Hurst-Millard FLD Normalized 2.0 – Signals" indicator. It analyzes price data using a combination of moving averages (MAs) and the Hurst exponent to decompose price movements into trend, swing, and noise components, generating buy and sell signals. Here's a brief overview of its functionality:Inputs and Modes:Offers Auto Mode (cycle-based) and Manual Mode for configuring three moving averages: Long-Term (LT), Mid-Term (MT), and Short-Term (ST).
Auto Mode calculates MA lengths and offsets based on user-defined target cycle lengths (e.g., LT: 400 bars, MT: 100 bars, ST: 25 bars) with predefined offset ratios (0.2, 0.333, 0.5 respectively).
Manual Mode allows direct input of MA lengths and offsets.
Moving Averages:Computes Simple Moving Averages (SMAs) for LT, MT, and ST based on the closing price.
Applies forward-shifting to simulate future price behavior (e.g., maLongFwd shifts the LT MA by the specified offset).
Decomposition:Trend: Derived from the forward-shifted LT MA (maLongFwd).
Swing: Calculated as the difference between MT and LT MAs, scaled as a percentage of the closing price and amplified (using ATR or a manual factor).
Noise: Calculated as the difference between ST and MT MAs, similarly scaled and amplified.
Hurst Exponent:Estimates the Hurst exponent to measure the persistence or mean-reversion of the noise component.
Uses a 50-bar lookback period, smoothed with a 5-period SMA.
Signal Generation:Generates buy signals when the noise component is less than the swing component and their difference is within a user-defined proximity threshold (default: 25% of swing).
Generates sell signals when noise exceeds swing within the same threshold.
Signals are plotted as diamond shapes at the calculated proximity price level.
Visualization:Plots the trend, swing, and noise components as lines with customizable colors and gradient intensity based on their relative strength.
Optional debugging plots for raw forward-shifted MAs and proximity thresholds.
Displays a periodic debug table (every 100 bars) showing key metrics like close price, MAs, trend, swing, noise, Hurst exponent, and more.
Additional Features:Supports ATR-based amplification for scaling swing and noise.
Allows customization of signal colors, diamond offsets, and proximity thresholds.
Includes debugging options to visualize raw MAs and proximity bands.
In summary, this indicator uses cycle-based or manually configured MAs to break down price action into trend, swing, and noise, calculates the Hurst exponent for noise analysis, and generates buy/sell signals based on the relationship between swing and noise within a proximity threshold. It’s designed for traders to identify potential trend reversals or continuations.
Regression Channel (ShareScope-style, parallel)What it does
Replicates ShareScope’s Trend of displayed data look: a single straight linear-regression line (dashed) across a chosen window with parallel, constant-width bands above and below, plus optional shading.
Use it to see the overall trend gradient for a period and a statistically sized channel based on the fit’s residual error.
How it works (math, short)
Computes an OLS regression once over the analysis window.
Residual standard error s is derived from SSE and degrees of freedom (n−2).
Band half-width is constant across the window:
Mean CI (narrower): half = z * s / √n
Prediction (wider): half = z * s * √(1 + 1/n)
Three straight, parallel lines are drawn from the regression endpoints; midline is dashed.
This is intentionally not a tapered CI (which widens at the ends). It matches the visual behaviour of ShareScope’s shaded trend line channel.
Inputs
Source – Price series (Close, High, Low, HL2, etc.).
Use last N bars / N (bars) – Rolling window length.
From / To (date mode) – Alternative fixed date window.
Confidence (%) – 90 / 95 / 99 / Custom (uses z≈t).
Custom Z (t) – Override the quantile if desired.
Prediction bands – Use wider prediction envelope instead of mean CI.
Shade region + colors / opacity / line width.
Usage
To mimic ShareScope exactly, pick the same date span (use date mode) and set Confidence 99%.
Choose Prediction OFF for a tighter “confidence” look; ON for a wider, more permissive channel.
If ShareScope used High as source, set Source = High here as well.
Notes & limitations
TradingView does not expose the visible viewport to Pine. The script cannot auto-read “displayed data.” Use last N bars or date range.
Bands are parallel by design. Prices may close outside; the channel does not bend.
Window capped at 5,000 bars for performance. No alerts are emitted.
Differences vs TV’s native tools
Linear Regression (drawing) – manual object; no statistical sizing or shading.
Linear Regression Channel (indicator) – uses price standard deviations around the regression; width is a user stdev multiple.
This script – uses residual error of the OLS fit and a z/t quantile to size a statistically meaningful parallel channel.
Changelog
r3.1 – Guard fix (no return at top level), minor refactor, stable line updates.
r3 – Switched to single-fit OLS with parallel constant-width bands (ShareScope look).
(Earlier experimental builds r1–r2.2 implemented rolling/tapered CI; superseded.)
Disclaimer: Educational use only. Not investment advice.
Cheap/Expensive Zone Highlighter V.2 Publicindicator Cheap/Expensive Zone Highlighter Ver2
Uptrend = Based on price> EMA200 (O+H+L+C)/4
Cheap zone = RSI<45
Dowtrend = Based on price< EMA200 (O+H+L+C)/4
Expensive Zone= RSI>55
Midpoints Table:by AGRThis is midpoint indicator for 5m, 15m, 30m, 60m, Day and Week.
This is simple indicator for intraday use 5, 15 and 30m. unless 30m cross any side dont take trade on that side. Also read along with day and week midpoints
Cheap/Expensive Zone Highlighter V.2 indicator Cheap/Expensive Zone Highlighter Ver2
Uptrend = Based on price> EMA200 (O+H+L+C)/4
Cheap zone = RSI<45
Dowtrend = Based on price< EMA200 (O+H+L+C)/4
Expensive Zone= RSI>55
Signal Core Basic [NevoxCore]⯁ OVERVIEW
Signal Core Basic is a clean and functional ATR-based trailing stop with BUY/SELL signals.
It modernizes the classic "UT-style" concept with adaptive sensitivity, multi-source inputs (Close, Heikin-Ashi, ZLEMA, KAMA), and compact visuals.
The tool is designed for traders who want a clear, minimal, and reliable base indicator without repainting issues.
⯁ HOW IT WORKS
Calculates an ATR-based trailing stop (nLoss = Key × ATR).
Adaptive mode scales sensitivity depending on trend strength (trend/range detection).
Trailing stop flips when price crosses from one regime to the other.
BUY/SELL signals trigger only when confirmed and not blocked by cooldown.
Label ring-buffer ensures chart stays clean (max 50 labels).
Bar coloring optional (solid), auto-disabled when classic red/green colors are enabled.
⯁ KEY FEATURES
ATR-based trailing stop with adjustable sensitivity.
Adaptive key (trend/range aware).
Multiple compute sources: Close, Heikin-Ashi, ZLEMA, KAMA.
Global confirm-on-close switch (no repaint).
Early-flip protection (cooldown).
Compact BUY/SELL labels with auto-cleanup (max 50).
Optional solid bar coloring.
Alerts with ticker, timeframe, and price included.
⯁ SETTINGS (quick overview)
Visual: Classic Colors, Show Labels, Plot Trailing Stop, Barcolor ON/OFF.
Source & Sensitivity: Key Value, ATR Length, Compute Source.
Advanced: Adaptive Key toggle with min/max bounds.
Global: Confirm on bar close.
Extras: Cooldown protection (bars).
⯁ ALERTS (built-in)
Basic Long: BUY signal.
Basic Short: SELL signal.
Each alert includes {{ticker}} {{interval}} @ {{close}}.
⯁ HOW TO USE
Use as a trailing stop and regime filter.
Combine BUY/SELL signals with your strategy rules.
Enable cooldown for cleaner signals in choppy markets.
Try ZLEMA or Heikin-Ashi as compute source for smoother performance.
⯁ WHY IT’S DIFFERENT
Unlike generic UT-style scripts, Signal Core Basic adds adaptive sensitivity, multiple input sources, and strict non-repaint safety.
The visuals follow NevoxCore’s design standards: compact, minimal, and clean — ready for live trading with alerts.
⯁ DISCLAIMER
Backtest and paper-trade before using live. Not financial advice.
Performance depends on market, timeframe, and parameters.
