Third Eye ORB Pro (0915-0930 IST, no-plot)Third Eye ORB Pro (Opening Range Breakout + Range Mode)
This indicator is designed specifically for Indian stocks and indices (NIFTY, BANKNIFTY, FINNIFTY, MIDCAP, etc.) to track the Opening Range (09:15–09:30 IST) and generate actionable intraday trade signals. It combines two key modes — Range Mode (mean reversion inside the opening range) and Breakout Mode (momentum trading beyond the range).
1. Opening Range Framework (09:15–09:30 IST)
The indicator automatically plots the Opening Range High (ORH) and Opening Range Low (ORL) after the first 15 minutes of market open.
The area between ORH and ORL acts as the intraday battlefield where most price action occurs (historically ~70–80% of the day is spent inside this zone).
A shaded box and horizontal lines mark this range, serving as a visual reference for support and resistance throughout the day.
2. Range Mode (Mean Reversion Inside OR)
When price trades inside the Opening Range, the indicator looks for edge rejections to capture range-bound trades.
Range BUY (RB): Triggered near ORL when a bullish rejection candle forms (strong body + long lower wick).
Range SELL (RS): Triggered near ORH when a bearish rejection candle forms (strong body + long upper wick).
Optional filters (toggleable in settings):
RSI Filter: Only allow range buys if RSI is oversold (≤45) and range sells if RSI is overbought (≥55).
VWAP Filter: Only allow range trades if price is not too far from VWAP (distance ≤ X% of OR size).
Labels show suggested Stop Loss (just outside the OR band) and Target (midline/VWAP).
Cooldown logic prevents consecutive whipsaw signals.
3. Breakout Mode (Directional Moves Beyond OR)
When price closes strongly outside the ORH/ORL with momentum, the indicator confirms a breakout/breakdown trade.
Buffers are applied to avoid false breakouts:
ATR Buffer: Price must extend at least ATR × multiplier beyond the range edge.
% Buffer: Price must extend at least a percentage of OR size (default 10%).
Confirmation Filters:
Candle must have a strong body (≥60% of total bar range).
Optional “two closes” rule: price must close outside the range for 2 consecutive candles.
BUY BO: Trigger when price closes above ORH + buffer with momentum.
SELL BD: Trigger when price closes below ORL – buffer with momentum.
Labels and alerts are plotted for quick action.
4. Practical Usage
Works best on 5-minute charts for intraday trading.
Designed to help traders capture both:
Range-bound moves during the day (mean reversion plays).
Strong directional breakouts when institutions push price beyond the opening range.
Particularly effective on expiry days, trending sessions, and major news days when breakouts are more likely.
On sideways days, Range Mode provides reliable scalp opportunities at the OR edges.
5. Features
Auto-plots Opening Range High, Low, Midline.
Box + line visuals (no repainting).
Buy/Sell labels for both Range Mode and Breakout Mode.
Customizable buffers (ATR, % of range) to suit volatility.
Alerts for all signals (breakouts and range plays).
Built with risk management in mind (suggested SL and TP shown on chart).
Forecasting
Auto S/R 1H - Stable Simplethat is a script to find out the support and resistance as trendlines for stocks in one hour timeframe for swing trading.
Futures Rotation Strategy - Overlay (Tables & Signals)This strategy focuses on the laggards and leaders of the market indices and does some weird stuff and determines which to long or short.
Trend and Entry Marker with MA, Supports, Fib, and Trend LinesJust a little indicator I made when I was bored ...
Helps you find entries for trades!
Secret bubbleSecret bubble
Why Might It Be Called "Bubbles"?
Although not officially named so, some traders or platforms might refer to Bollinger Bands as "bubbles" because:
The bands visually surround the price like a bubble.
During low volatility, the bands form a tight "bubble" around price.
Breakouts look like the price "popping out" of a bubble.
Hence, the nickname "пузырьки" (bubbles) could be a colloquial or visual metaphor for Bollinger Bands in Russian-speaking trading communities.
Conclusion
While there is no official technical indicator called "Bubbles", the term likely refers to Bollinger Bands due to their visual appearance and function. This powerful tool helps traders assess volatility, spot potential reversals, and time entries and exits. When combined with other analysis methods, Bollinger Bands remain a cornerstone of modern technical trading.
🔧 Tip: You can find Bollinger Bands on almost every trading platform (TradingView, MetaTrader, ThinkorSwim) by searching "Bollinger Bands" in the indicators list.
Statistical FootprintStatistical Footprint - Behavioral Support & Resistance
This indicator identifies key price levels based on actual market behavior rather than traditional pivot calculations. It analyzes how bulls and bears have historically moved price from session opens, creating statistical zones where future reactions are most likely.
The concept is simple: track how far bullish candles typically push above the open versus how far bearish candles drop below it. These patterns reveal the market's behavioral "footprint" - showing where momentum typically stalls and reverses.
Key Features:
- Separate analysis for daily and weekly timeframes
- Smart zone merging when levels cluster together (within 5 points)
- Uses both mean and median calculations for more robust levels
- XGBoost-optimized lookback periods for maximum statistical significance
- Clean zone-only display focused on actionable price areas
How it Works:
The code separates bullish and bearish sessions, measuring their typical range extensions from the open. It then projects these statistical ranges forward from current session opens, creating "behavioral zones" where the market has historically shown consistent reactions.
When daily and weekly levels align closely, they merge into combined zones with enhanced significance. Labels show both the mean and median values when they differ meaningfully.
Best Used For:
- Identifying high-probability reversal zones
- Setting profit targets based on historical behavior
- Understanding market sentiment shifts at key levels
- Confluence analysis between different timeframes
The lookback periods have been optimized using machine learning to find the most predictive historical sample sizes for current market conditions.
Prev RTH FibsThis study captures the previous day’s Regular Trading Hours (RTH) range (default 09:30–16:00 America/New_York), then projects it onto the current session. It draws HIGH, LOW, and an optional 50% midpoint, plus a configurable set of inside fib-style percentages measured from the HIGH downward. Every level extends a short distance to the right of the current price and shows a clean numeric label (no box) on the right edge.
Key features
Prev-day RTH range tracked automatically; plotted each new session.
Inside levels (from HIGH ↓): 11%, 25%, 29.5%, 38.2%, 45%, 55%, 62% (OTE), 70.5%, 75%, 78.6%, 85% (toggle any on/off).
Clean right-side labels: numbers only, resizable (Tiny → Huge) with transparent background.
Line styling: HIGH/LOW and 50% are solid; inside levels can be Solid/Dashed/Dotted with independent color/width.
Smart right padding: lines/labels extend a few bars past the latest candle, so annotations stay beside price without violating TradingView’s “>500 bars in future” rule.
Works on any symbol/timeframe; RTH window and timezone are adjustable.
Inputs you control
Session: RTH session string and timezone.
Right-side padding (bars) and number size.
Visibility & style for HIGH, LOW, and 50%.
Which inside levels to show, plus their style/color/width.
Signal Hunter Pro - GKDXLSignal Hunter Pro - GKDXL combines four powerful technical indicators with trend strength filtering and volume confirmation to generate reliable BUY/SELL signals. This indicator is perfect for traders who want a systematic approach to market analysis without the noise of conflicting signals.
🔧 Core Features
📈 Multi-Indicator Signal System
Moving Averages: EMA 20, EMA 50, and SMA 200 for trend analysis
Bollinger Bands: Dynamic support/resistance with price momentum detection
RSI: Enhanced RSI logic with smoothing and multi-zone analysis
MACD: Traditional MACD with signal line crossovers and zero-line analysis
🎛️ Advanced Filtering System
ADX Trend Strength Filter: Only signals when trend strength exceeds threshold
Volume Confirmation: Ensures signals occur with adequate volume participation
Multi-Timeframe Logic: Works on any timeframe from 1m to 1D and beyond
🚨 Intelligent Signal Generation
Requires 3 out of 4 indicators to align for signal confirmation
Separate bullish and bearish signal conditions
Real-time signal strength scoring (1/4 to 4/4)
Built-in alert system for automated notifications
⚙️ Customizable Parameters
📊 Technical Settings
Moving Averages: Adjustable EMA and SMA periods
Bollinger Bands: Configurable length and multiplier
RSI: Customizable length, smoothing, and overbought/oversold levels
MACD: Flexible fast, slow, and signal line settings
🎯 Risk Management
Risk Percentage: Set your risk per trade (0.1% to 10%)
Reward Ratio: Configure risk-to-reward ratios (1:1 to 1:5)
ADX Threshold: Control minimum trend strength requirements
🖥️ Display Options
Indicator Visibility: Toggle individual indicators on/off
Information Table: Optional detailed status table (off by default)
Volume Analysis: Real-time volume vs. average comparison
🎨 Visual Elements
📈 Chart Indicators
EMA Lines: Blue (20) and Orange (50) exponential moving averages
SMA 200: Gray long-term trend line
Bollinger Bands: Upper/lower bands with semi-transparent fill
Clean Interface: Minimal visual clutter for clear analysis
📋 Information Table (Optional)
Real-time indicator status with ✓/✗/— symbols
Current signal strength and direction
ADX trend strength measurement
Volume confirmation status
No-signal reasons when conditions aren't met
🔔 Alert System
📢 Three Alert Types
BUY Signal: Triggered when 3+ indicators align bullishly
SELL Signal: Triggered when 3+ indicators align bearishly
General Alert: Any signal detection for broader monitoring
📱 Alert Messages
Clear, actionable alert text
Includes indicator name for easy identification
Compatible with webhook integrations
🎯 How It Works
📊 Signal Logic
Indicator Assessment: Each of the 4 indicators is evaluated as Bullish/Bearish/Neutral
Consensus Building: Counts aligned indicators (minimum 3 required)
Filter Application: Applies trend strength and volume filters
Signal Generation: Generates BUY/SELL when all conditions are met
🔍 Indicator States
Moving Averages: Price position, EMA alignment, and crossovers
Bollinger Bands: Price relative to bands and momentum shifts
RSI: Multi-zone analysis with momentum and crossover detection
MACD: Signal line crossovers and zero-line positioning
🎉 Why Choose Signal Hunter Pro?
✅ Multi-Indicator Confirmation reduces false signals
✅ Trend Strength Filtering improves win rate
✅ Volume Confirmation ensures market participation
✅ Customizable Parameters adapt to any trading style
✅ Clean Visual Design doesn't clutter your charts
✅ Professional Alert System for automated trading
✅ No Repainting - reliable historical signals
✅ Works on All Timeframes from scalping to investing
Major & Modern Wars TimelineDescription:
This indicator overlays vertical lines and labels on your chart to mark the start and end dates of major global wars and modern conflicts.
Features:
Displays start (red line + label) and end (green line + label) for each war.
Covers 20th century wars (World War I, World War II, Korean War, Vietnam War, Gulf War, Afghanistan, Iraq).
Includes modern conflicts: Syrian Civil War, Ukraine War, and Israel–Hamas War.
For ongoing conflicts, the end date is set to 2025 for timeline visualization.
Customizable: label position (above/below bar), line width.
Works on any chart timeframe, overlaying events on financial data.
Use case:
Useful for historical market analysis (e.g., gold, oil, S&P 500), helping traders and researchers see how wars and conflicts align with market movements.
Major & Modern Wars TimelineDescription:
This indicator overlays vertical lines and labels on your chart to mark the start and end dates of major global wars and modern conflicts.
Features:
Displays start (red line + label) and end (green line + label) for each war.
Covers 20th century wars (World War I, World War II, Korean War, Vietnam War, Gulf War, Afghanistan, Iraq).
Includes modern conflicts: Syrian Civil War, Ukraine War, and Israel–Hamas War.
For ongoing conflicts, the end date is set to 2025 for timeline visualization.
Customizable: label position (above/below bar), line width.
Works on any chart timeframe, overlaying events on financial data.
Use case:
Useful for historical market analysis (e.g., gold, oil, S&P 500), helping traders and researchers see how wars and conflicts align with market movements.
US Presidents 1789–1916Description:
This indicator displays all U.S. presidential elections from 1789 to 1916 on your chart.
Features:
Vertical lines at the date of each presidential election.
Line color by party:
Red = Republican
Blue = Democrat
Gray = Other/None
Labels showing the name of each president.
Historical flag style: All presidents before 1900 are considered historical, providing visual distinction.
Fully overlayed on the price chart for timeline context.
Customizable: Label position (above/below bar) and line width.
Use case: Great for studying historical market behavior around elections or for general reference of U.S. presidents during the early history of the country.
US Presidents 1920–2024Description:
This indicator displays all U.S. presidential elections from 1920 to 2024 on your chart.
Features:
Vertical lines at the date of each presidential election.
Line color by party:
Red = Republican
Blue = Democrat
Gray = Other/None
Labels showing the name of each president.
Modern flag style: Presidents from 1900 onward are highlighted as modern, giving clear historical separation.
Fully overlayed on the price chart for timeline context.
Customizable: Label position (above/below bar) and line width.
Use case: Useful for analyzing modern U.S. presidential cycles, market reactions to elections, or quickly referencing recent presidents directly on charts.
FED Rate Decisions (Cuts & Hikes)This indicator highlights key moments in U.S. monetary policy by plotting vertical lines on the chart for Federal Reserve interest rate decisions.
Features:
Rate Cuts (red): Marks dates when the Fed reduced interest rates.
Rate Hikes (green): Marks dates when the Fed increased interest rates.
Configurable view: Choose between showing all historical decisions or only those from 2019 onwards.
Labels: Each event is tagged with “FED CUT” or “FED HIKE” above or below the bar (adjustable).
Alerts: You can set TradingView alerts to be notified when the chart reaches a Fed decision day.
🔧 Inputs:
Show decisions: Switch between All or 2019+ events.
Show rate cuts / hikes: Toggle visibility separately.
Colors: Customize line and label colors.
Label position: Place labels above or below the bar.
📈 Usage:
This tool helps traders and investors visualize how Fed policy shifts align with market movements. Rate cuts often signal economic easing, while hikes suggest tightening monetary policy. By overlaying these events on price charts, you can analyze historical reactions and prepare for similar scenarios.
Divergences v2.4 [LTB][SPTG]Open-source credit & license
Original author: LonesomeTheBlue.
This fork by: sirpipthegreat — with attribution to the original work.
License: Open-source, published under the MPL-2.0 (same license header in the code).
I am publishing this open-source in accordance with TradingView’s Open-source reuse rules.
What’s new:
- Fixes & stability (addresses “historical offset beyond buffer” errors)
- Capped and validated all historical indexing with guarded lookbacks (e.g., min(…, 200) style limits) to prevent referencing data beyond the buffer on shorter histories/thin symbols.
- Refactored highest/lowest bars scans to obey the cap and avoid cumulative overflows on long sessions.
- Added per-bar counters with safety clamps to ensure it never exceeds available history.
- Ensured HTF switching doesn’t create invalid offsets when the higher timeframe compresses history.
Modernization & user control:
- Pine v6 upgrade and re-organization of logic for clarity/performance.
- More predictable tops/bottoms detection.
What it does:
- Detects regular (trend-reversal) and optional hidden (trend-continuation) divergences between price swing tops/bottoms and the selected oscillator(s).
- Computes candidate pivots with a light HTF alignment to reduce micro-noise; validates divergence when oscillator and price move in opposite directions across those pivots.
- Plots colored lines/labels on price to highlight bearish (regular & hidden) and bullish (regular & hidden) patterns.
How to use:
- Choose the oscillator set you trust (start with RSI + MACD).
- Consider confluence (S/R, volume, trend filters). This tool only identifies conditions
Justin's MSTR Powerlaw Price PredictorJustin's MSTR Powerlaw Price Predictor is a Pine Script v6 indicator for TradingView that adapts Giovanni Santostasi’s Bitcoin power law model to forecast MicroStrategy (MSTR) stock prices. The price prediction is based on the the formula published in this article:
www.ccn.com
Economic Profit (Fixed & Labeled) — Rated + PeersFRAC (Fundamental-Rated-Asset-Calculate)
FRAC is a fundamentals-driven tool designed to measure whether a company is creating or destroying shareholder value. Unlike surface ratios, FRAC uses Economic Profit (ROIC – WACC) as its engine, showing whether a business truly outperforms its cost of capital.
🔹 What FRAC Does
Calculates ROIC (Return on Invested Capital) vs. WACC (Weighted Average Cost of Capital).
Shows whether a company is creating or destroying shareholder value.
Uses tiered color coding for clarity:
🔵 Superior (Aqua Blue) → Top tier; best of the best.
🟣 Elite (Purple) → Strong value creation.
🟢 Positive (Green) → Solid, creating shareholder value.
🟡 Marginal (Yellow) → Barely covering cost of capital.
🔴 Negative (Red) → Value destruction.
🔹 Composite Ranking System (1–4)
FRAC also assigns each company a Composite Rank so you can compare multiple names side by side. The rank works like this:
Rank 1 → Superior (🔵 Aqua Blue)
Best possible rating; wide gap between ROIC and WACC.
Rank 2 → Elite (🟣 Purple)
Strongly positive; above-average capital efficiency.
Rank 3 → Positive (🟢 Green)
Creating value but only moderately; not a top compounder.
Rank 4 → Marginal/Negative (🟡/🔴)
Weak or destructive; either barely covering WACC or losing money on capital.
✅ How to Use the Ranks
When comparing a set of peers (e.g., NVDA, AMD, INTC):
FRAC will display each company’s color rating + composite rank (1–4).
You can instantly see who is strongest vs. weakest in the group.
Best decisions = overweight Rank 1 & 2 companies, avoid Rank 4 names.
🔹 Key Inputs Explained
Risk-Free Asset → Typically the 10-Year US Treasury yield (US10Y).
Corporate Tax Rate → Effective tax rate for the company’s country (e.g., USCTR).
Expected Market Return → Historical average ~8–10%, adjustable.
Beta Lookback Period → Controls how far back Beta is calculated (longer = more stable, shorter = more reactive).
👉 These must be set correctly for FRAC to calculate WACC accurately.
🔹 Example Comparison
NVDA: ROIC 25% – WACC 7% = +18% → 🔵 Superior → Rank 1
AMD: ROIC 17% – WACC 8% = +9% → 🟣 Elite → Rank 2
INTC: ROIC 11% – WACC 9% = +2% → 🟢 Positive → Rank 3
FSLY: ROIC 5% – WACC 10% = –5% → 🔴 Negative → Rank 4
🔹 Why It Matters
Buffett said: “The best businesses are those that can consistently generate returns on capital above their cost of capital.”
FRAC turns that into a visual + numeric rating system (1–4), making comparisons across peers simple and actionable.
🔹 Credit
FRAC was created by Hunter Hammond (Elite x FineFir), inspired by corporate finance models of Economic Profit and Economic Value Added (EVA).
⚠️ Disclaimer: FRAC is a research framework, not financial advice. Always pair with full due diligence.
Justin's Bitcoin Power Law Predictor (Santostasi Model)This indicator uses the Powerlaw to predict the BTC price.
Custom Volume + Buyer & Price %Title: Custom Volume + Buyer & Price %
Description:
This indicator helps you see who is controlling the market — buyers or sellers — using volume and price action. It works even if your chart is on a small timeframe (like 5-min or 15-min), by showing Daily, Weekly, and Monthly information from the higher timeframe volume charts.
Key Features & How It Works:
Buyer % (B%):
Measures where the closing price is within the high-low range of a candle.
Calculation:
\text{Buyer %} = \frac{\text{Close} - \text{Low}}{\text{High} - \text{Low}} \times 100
Interpretation:
> 50% → Buyers are stronger
< 50% → Sellers are stronger
50% → Balanced
Volume Coloring:
Volume bars are colored based on Buyer %, not price movement:
Green → Buyers dominate
Red → Sellers dominate
Yellow → Balanced day
Higher Timeframe Insight:
Displays Daily, Weekly, and Monthly volume & Buyer % even if your chart is on a smaller timeframe.
Lets you understand long-term buying or selling pressure while trading intraday.
21-Day Average:
Shows average Buyer % and average volume over the past 21 days for trend context.
Why It’s Useful:
Quickly visualize whether the market is buyer-driven or seller-driven.
Identify strong accumulation or distribution days.
Works on any chart timeframe while giving higher timeframe perspective.
Ideal for traders who want easy, visual insight into market sentiment.
⛓️ Scalping Fusion [AlexSvet]An indicator with a table that takes into account the trend for scalping trading.
Calculadora de posicion)Position Size Calculator is a simple tool that helps traders instantly know how many contracts or lots to use based on their risk.
Just set your account size, risk percentage, and stop loss distance — the calculator does the rest.
Stay disciplined, control your risk, and trade with confidence.
Near New High ScreenerA simple indicator intended to be used in a pinescript scanner to find stocks that are re reaching highs after a pullback or base formation. To use add it as a favourite indicator so it can be selected in a pinescript scanner.
In the settings you can select whether to use the highest high or highest close for the previous high (defaults to close) and whether to use the all time high or the high from the last X days (defaults to 252 days).
Once opened in a pine scanner apply to a watchlist and scan. Stocks with a positive % have broken out from a previous high today, those with a negative % are that % away from the previous high.
You can sort by the “Pct from Prev High%” column or use the scanner filter to filter for stocks between two values, for example between 0 and -5% to find stocks near a new high, or >0 to find stocks that have broken out today.
ATAI Volume Pressure Analyzer V 1.0 — Pure Up/DownATAI Volume Pressure Analyzer V 1.0 — Pure Up/Down
Overview
Volume is a foundational tool for understanding the supply–demand balance. Classic charts show only total volume and don’t tell us what portion came from buying (Up) versus selling (Down). The ATAI Volume Pressure Analyzer fills that gap. Built on Pine Script v6, it scans a lower timeframe to estimate Up/Down volume for each host‑timeframe candle, and presents “volume pressure” in a compact HUD table that’s comparable across symbols and timeframes.
1) Architecture & Global Settings
Global Period (P, bars)
A single global input P defines the computation window. All measures—host‑TF volume moving averages and the half‑window segment sums—use this length. Default: 55.
Timeframe Handling
The core of the indicator is estimating Up/Down volume using lower‑timeframe data. You can set a custom lower timeframe, or rely on auto‑selection:
◉ Second charts → 1S
◉ Intraday → 1 minute
◉ Daily → 5 minutes
◉ Otherwise → 60 minutes
Lower TFs give more precise estimates but shorter history; higher TFs approximate buy/sell splits but provide longer history. As a rule of thumb, scan thin symbols at 5–15m, and liquid symbols at 1m.
2) Up/Down Volume & Derived Series
The script uses TradingView’s library function tvta.requestUpAndDownVolume(lowerTf) to obtain three values:
◉ Up volume (buyers)
◉ Down volume (sellers)
◉ Delta (Up − Down)
From these we define:
◉ TF_buy = |Up volume|
◉ TF_sell = |Down volume|
◉ TF_tot = TF_buy + TF_sell
◉ TF_delta = TF_buy − TF_sell
A positive TF_delta indicates buyer dominance; a negative value indicates selling pressure. To smooth noise, simple moving averages of TF_buy and TF_sell are computed over P and used as baselines.
3) Key Performance Indicators (KPIs)
Half‑window segmentation
To track momentum shifts, the P‑bar window is split in half:
◉ C→B: the older half
◉ B→A: the newer half (toward the current bar)
For each half, the script sums buy, sell, and delta. Comparing the two halves reveals strengthening/weakening pressure. Example: if AtoB_delta < CtoB_delta, recent buying pressure has faded.
[ 4) HUD (Table) Display /i]
Colors & Appearance
Two main color inputs define the theme: a primary color and a negative color (used when Δ is negative). The panel background uses a translucent version of the primary color; borders use the solid primary color. Text defaults to the primary color and flips to the negative color when a block’s Δ is negative.
Layout
The HUD is a 4×5 table updated on the last bar of each candle:
◉ Row 1 (Meta): indicator name, P length, lower TF, host TF
◉ Row 2 (Host TF): current ↑Buy, ↓Sell, ΔDelta; plus Σ total and SMA(↑/↓)
◉ Row 3 (Segments): C→B and B→A blocks with ↑/↓/Δ
◉ Rows 4–5: reserved for advanced modules (Wings, α/β, OB/OS, Top
5) Advanced Modules
5.1 Wings
“Wings” visualize volume‑driven movement over C→B (left wing) and B→A (right wing) with top/bottom lines and a filled band. Slopes are ATR‑per‑bar normalized for cross‑symbol/TF comparability and converted to angles (degrees). Coloring mirrors HUD sign logic with a near‑zero threshold (default ~3°):
◉ Both lines rising → blue (bullish)
◉ Both falling → red (bearish)
◉ Mixed/near‑zero → gray
Left wing reflects the origin of the recent move; right wing reflects the current state.
5.2 α / β at Point B
We compute the oriented angle between the two wings at the midpoint B:
β is the bottom‑arc angle; α = 360° − β is the top‑arc angle.
◉ Large α (>180°) or small β (<180°) flags meaningful imbalance.
◉ Intuition: large α suggests potential selling pressure; small β implies fragile support. HUD cells highlight these conditions.
5.3 OB/OS Spike
OverBought/OverSold (OB/OS) labels appear when directional volume spikes align with a 7‑oscillator vote (RSI, Stoch, %R, CCI, MFI, DeMarker, StochRSI).
◉ OB label (red): unusually high sell volume + enough OB votes
◉ OS label (teal): unusually high buy volume + enough OS votes
Minimum votes and sync window are user‑configurable; dotted connectors can link labels to the candle wick.
5.4 Top3 Volume Peaks
Within the P window the script ranks the top three BUY peaks (B1–B3) and top three SELL peaks (S1–S3).
◉ B1 and S1 are drawn as horizontal resistance (at B1 High) and support (at S1 Low) zones with adjustable thickness (ticks/percent/ATR).
◉ The HUD dedicates six cells to show ↑/↓/Δ for each rank, and prints the exact High (B1) and Low (S1) inline in their cells.
6) Reading the HUD — A Quick Checklist
◉ Meta: Confirm P and both timeframes (host & lower).
◉ Host TF block: Compare current ↑/↓/Δ against their SMAs.
◉ Segments: Contrast C→B vs B→A deltas to gauge momentum change.
◉ Wings: Right‑wing color/angle = now; left wing = recent origin.
◉ α / β: Look for α > 180° or β < 180° as imbalance cues.
◉ OB/OS: Note labels, color (red/teal), and the vote count.
◉Top3: Keep B1 (resistance) and S1 (support) on your radar.
Use these together to sketch scenarios and invalidation levels; never rely on a single signal in isolation.
[ 7) Example Highlights (What the table conveys) /i]
◉ Row 1 shows the indicator name, the analysis length P (default 55), and both TFs used for computation and display.
◉ B1 / S1 blocks summarize each side’s peak within the window, with Δ indicating buyer/seller dominance at that peak and inline price (B1 High / S1 Low) for actionable levels.
◉ Angle cells for each wing report the top/bottom line angles vs. the horizontal, reflecting the directional posture.
◉ Ranks B2/B3 and S2/S3 extend context beyond the top peak on each side.
◉ α / β cells quantify the orientation gap at B; changes reflect shifting buyer/seller influence on trend strength.
Together these visuals often reveal whether the “wings” resemble a strong, upward‑tilted arm supported by buyer volume—but always corroborate with your broader toolkit
8) Practical Tips & Tuning
◉ Choose P by market structure. For daily charts, 34–89 bars often works well.
◉ Lower TF choice: Thin symbols → 5–15m; liquid symbols → 1m.
◉ Near‑zero angle: In noisy markets, consider 5–7° instead of 3°.
◉ OB/OS votes: Daily charts often work with 3–4 votes; lower TFs may prefer 4–5.
◉ Zone thickness: Tie B1/S1 zone thickness to ATR so it scales with volatility.
◉ Colors: Feel free to theme the primary/negative colors; keep Δ<0 mapped to the negative color for readability.
Combine with price action: Use this indicator alongside structure, trendlines, and other tools for stronger decisions.
Technical Notes
Pine Script v6.
◉ Up/Down split via TradingView/ta library call requestUpAndDownVolume(lowerTf).
◉ HUD‑first design; drawings for Wings/αβ/OBOS/Top3 align with the same sign/threshold logic used in the table.
Disclaimer: This indicator is provided solely for educational and analytical purposes. It does not constitute financial advice, nor is it a recommendation to buy or sell any security. Always conduct your own research and use multiple tools before making trading decisions.
