Smart Money Volume Tools | Lyro RSSmart Money Volume Tools | Lyro RS
Overview
The Smart Money Volume Tools (SMVT) is a multi-dimensional volume-based analysis suite designed to visualize the interplay between price action, moving averages, and smart money behavior.
By integrating dynamic moving averages, volume normalization, and multi-timeframe intelligence, SMVT helps traders identify when institutional (smart money) or retail participants are influencing price movements — all in a single, adaptive display.
Unlike traditional oscillators or trend tools, SMVT dynamically adjusts its sensitivity and thresholds based on volume z-scores and normalized momentum, revealing true intent behind price shifts rather than reacting to them.
🔹 Key Features
4 Core Analytical Modes:
Trail Mode – Identifies directional bias using dynamic volume-weighted trails based on adaptive ATR multipliers.
Volume Mode – Displays normalized volume strength vs. price trend, highlighting volume-driven expansions.
Smart Money Volume Mode – Detects institutional buying/selling spikes from lower timeframes using volume z-score outliers.
Retail Money Volume Mode – Contrasts retail-driven impulses to visualize crowd behavior and exhaustion points.
Dynamic Volume Normalization: Converts volume impulses into a 0–100 range using a sigmoid function for smoother interpretation.
Multi-Timeframe Intelligence: Automatically reads lower timeframe volume data to distinguish smart vs. retail activity.
Adaptive Color Systems: Multiple palette modes ( Classic , Mystic , Accented , Royal ) or full custom color control.
Signal Table Overlay: Built-in real-time module summary showing status for Trail , Volume , Smart Money , and Retail Money — right on your chart.
🔹 How It Works
Volume Strength Calculation:
Calculates relative volume strength using a moving average baseline, then normalizes the result via a sigmoid function — mapping activity into a clean 0–100 range.
Smart Money Detection:
Scans lower timeframe data for extreme volume z-scores ( z > 2 ) to pinpoint institutional accumulation or distribution zones.
Trail Logic:
Uses adaptive upper and lower trails based on ATR and volume intensity to track volatility-adjusted trend direction.
Color Logic:
Trail, candle, and fill colors change dynamically according to the active signal type and selected palette — making directional bias instantly visible.
🔹 Practical Use
Swing Confirmation (Trail Mode): Confirms sustained bullish or bearish momentum supported by volume, ideal for trailing positions and managing exits.
Volume Expansion (Volume Mode): Highlights key moments when institutional liquidity pushes price before visible breakout confirmation.
Smart vs. Retail Divergence: Identify conflicts between retail activity and smart money to detect exhaustion or reversal points early.
Table Overlay Utility: Instantly see all active signals across modules in one compact, on-chart interface.
🔹 Customization
Custom color palettes or manual bullish/bearish color selection.
Adjustable EMA lengths and Volume SMA period .
Selectable lower timeframe source for Smart Money analysis.
Flexible table position & size controls — choose between Top, Middle, Bottom and Tiny to Huge.
Switch freely between Trail , Volume , Smart Money , and Retail Money modes.
Credits
Thank you to @AlgoAlpha for the smart money and retail activity source code.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Educational
AutoPivot Levels with Alerts [ChartWhizzperer] – Dynamic EditionAuto-Pivot Levels 4 methods with alerts – Dynamic Edition
Now with
- Live Mode
- 4 Pivot Methods
- 7 Session Types (5m, 15m, 30m, Hourly, Daily, Weekly, Monthly)
- PineConnector-Ready Alerts!
Free, Open Source, Pine Script v6-compliant.
NEW: Live Mode (Ultra-Dynamic, Repainting) – Switchable in UI!
Instantly switch between Classic (session-based, repaint-free) and Live (rolling window, real-time, repainting) using the simple checkbox in the settings!
Live Mode recalculates all pivots on every tick/bar, using the current high/low/close for the chosen session (5m, 15m, 30m, hourly, daily, weekly, monthly).
Perfect for:
- Scalping and high-frequency trading
- Real-time bot/automation setups (PineConnector-ready)
- Fast-moving or breakout markets
Classic Mode: For traditional, stable levels based on confirmed session data – ideal for backtesting and trading history.
Four Calculation Methods (Choose What Fits YOU)
1. Classic
Standard pivot calculation.
Based on previous session’s High, Low, Close.
Simple, proven, and suitable for any asset.
2. Fibonacci
Projects levels using Fibonacci ratios of the prior session’s range.
Great for traders who want to align pivots with fib retracements and extensions.
3. Camarilla
Uses unique multipliers for support/resistance, focusing on mean reversion and volatility.
Popular among futures and forex day traders.
4. Woodie
Puts extra weight on previous Close for more responsive pivots.
Often used in trending or choppy conditions.
Switch methods anytime in the UI – the script recalculates instantly and keeps your chart clean!
Level-Specific Alerts – PineConnector Ready!
Dedicated alert for EVERY level and direction (Up/Down):
Pivot (P), R1, R2, R3, S1, S2, S3
No configuration hassle:
All alerts are pre-defined in the TradingView Alert Panel and work across all session types (5m → monthly).
Machine-readable message format:
PIVOT=R1 DIR=UP SYMBOL={{ticker}} PRICE={{close}}
Direct plug-and-play with PineConnector, webhooks, Discord, Telegram, bots, and other automation tools.
Never miss a breakout, reversal, or key support/resistance touch!
Powerful Customization & Performance
- Session selection: 5m, 15m, 30m, Hourly, Daily, Weekly, Monthly (choose what suits your trading style).
- Show/hide any level (Pivot, R1–R3, S1–S3) for minimal chart clutter.
- Color selection for each level to match your theme or highlight key pivots.
- Auto-cleanup: Old lines and labels are cleared on every recalculation or session change for maximum performance and visual clarity.
- Zero runtime errors: Strict Pine Script v6 practices for stability.
How To Use – Quick Start
1) Add the indicator to your TradingView chart.
2) Pick your calculation method (Classic, Fibonacci, Camarilla, Woodie).
3) Set session type (5m, 15m, 30m, Hourly, Daily, Weekly, Monthly).
4) Switch between Classic and Live Mode with a single click in settings.
5) Customize your levels (on/off, colors).
6) Open the Alert Panel, select any pre-configured alert (e.g. "R2 Cross Down"), and go live!
7) Connect with PineConnector or any webhook system instantly using the pre-formatted alert messages.
Who Is It For?
- Active scalpers & bot traders: Live Mode + PineConnector-ready alerts = instant, automated reactions.
- Swing and position traders: Use Classic Mode for stable, repaint-free levels.
- Strategy developers: Seamless integration into automated and manual trading workflows.
License & Community
Open Source, Non-Commercial:
Free for personal & educational use under CC BY-NC-SA 4.0.
Feedback, bug reports & ideas:
Drop a comment, or contact me for feature requests.
Trade smart. Trade dynamic. Unlock the true power of pivots – with ChartWhizzperer!
Purchasing Power vs Gold, Stocks, Real Estate, BTC (1971 = 100)Visual comparison of U.S. dollar purchasing power versus major assets since 1971, when the U.S. ended the gold standard. Each asset is normalized to 100 in 1971, showing how real value has shifted across gold, real estate, stocks, and Bitcoin over time.
Source: FRED (CPIAUCSL, SP500, MSPUS) • OANDA (XAUUSD) • TradingView (INDEX:BTCUSD/BLX)
Visualization by 3xplain
All-in-One: EMA, ORB, PM, and Anchored VWAPAll-in-One: EMA, ORB, PM, and Anchored VWAP... ema 9/20/50/100/20 + opening range break + premarket high and lows + vwap all in one indicator enjoy.. all these can be turned on and off if you only want vwap and ema or pm and orb etc..
Gold THB per Baht (XAU -> Thai baht gold)What it does
This indicator converts international gold prices (XAU) into Thai retail “baht gold” price (THB per 1 baht gold weight) in real time. It multiplies the XAU price (per troy ounce) by USD/THB and converts ounces to Thai baht-weight using the exact gram ratios.
Formula
THB per baht gold = XAU (USD/oz) × USDTHB × (15.244 / 31.1035) × (1 + Adjustment%) + FlatFeeTHB
1 troy ounce = 31.1035 g
1 Thai baht gold = 15.244 g
Conversion factor ≈ 0.490103
Trade Journal ProTrade Journal Pro
A powerful, visual trading journal that enforces discipline with real-time feedback, reflective prompts, and strict risk limits — all in one clean overlay box.
Jesus is King — trade with wisdom, not emotion.
FEATURES
• AUTO-CALCULATED DAILY TRADES
→ `Trades Today = Wins + Losses + Breakevens` (no manual input needed)
• 4 ENFORCED RISK LIMITS
1. Max Trades Per Day
2. Max Risk Rule Violations
3. Max Consecutive Losses (tilt protection)
4. Max Total Losses Allowed (lifetime/session cap)
• SMART VISUAL FEEDBACK
• GREEN BOX = You hit a limit exactly → “WELL DONE!”
• RED BOX = Breached any limit → “STOP & REFLECT” + ALERT
• Dark = Normal (under all limits)
• REFLECTIVE PROMPTS (Customizable)
1. Why this setup?
2. What was my emotional state?
3. Did I follow my plan?
• LIVE ADVICE ENGINE
→ Win: “Great execution! Log what worked.”
→ Loss: “Loss = tuition. What did you learn?”
→ Breakeven: “Review entry/exit precision.”
• DAILY REMINDER
→ Always visible: “Trade the plan, not the emotion.”
• FULLY CUSTOMIZABLE
• Font size (Tiny → Huge)
• Box position (bars to the right)
• Toggle: Metrics / Prompts / Advice
• Custom colors, messages, limits
• ALERTS
• Breach any limit → Immediate alert
• Hit limit exactly → Discipline win notification
HOW TO USE
1. After each closed trade:
→ Update Wins, Losses, or Breakevens
→ Update Consecutive Losses (reset to 0 on win/BE)
→ Increment Risk Violations if you broke a rule
2. Answer the 3 prompts in your journal
3. Let the box guide your behavior:
• GREEN = Celebrate discipline
• RED = STOP TRADING. Reflect. Reset.
Perfect for day traders, swing traders, or anyone building a professional edge through journaling and risk control.
No strategy entries. No repainting. Pure accountability.
“The market is a mirror. This journal is the polish.”
Developed with integrity. Built to protect your capital — and your peace.
Apertura SemanalIdentifica las aperturas semanales de cada grafico y resalta las aperturas mensuales
Sunmool's NY Lunch Model BacktestingICT NY Lunch Model Backtesting (12:00–13:00 NY) 🗽🍔
This research indicator tests an ICT narrative using the New York lunch window (12:00–13:00 America/New_York). It records that hour’s high/low and measures, during the post-lunch session (default 13:00–16:00), how often:
⬆️ If the afternoon trends up, the Lunch Low gets swept first.
⬇️ If the afternoon trends down, the Lunch High gets swept first.
It reports these as conditional probabilities, not trade signals. 📈
👀 What it shows
🟦 Lunch Range box (toggle): high/low from 12:00–13:00 NY
🔻🔺 Sweep signals (bar-anchored)
Low sweep: triangle below bar + optional “L”
High sweep: triangle above bar + optional “H”
🧱 Optional small box wrapping the swept candle
📊 Stats table (top-right)
P(L-swept | Up) — % of Up-days where Lunch Low was swept
P(H-swept | Down) — % of Down-days where Lunch High was swept
🔁 Contradictions + sample sizes (Up-days / Down-days)
🎯 Direction logic (Up/Down)
Anchor: 13:00 open (pmOpen) ⏰
Threshold: ATR × multiple or % from 13:00
Close ≥ pmOpen + threshold → Up-day
Close ≤ pmOpen − threshold → Down-day
Tiny moves under the threshold are ignored to reduce noise 🧹
⚙️ Inputs
🌐 Timezone: America/New_York (DST handled)
🍽️ Lunch window: 1200–1300
🕓 Post-lunch window: default 1300–1600 (try 17:00/20:00 for sensitivity)
📐 Trend threshold: ATR / Percent (with length/multiple or % level)
📅 Weekdays-only toggle (FX/Equities style)
👁️ Display toggles: Lunch box / sweep arrows / sweep text / sweep candle box / stats table
🔔 TF hint when chart TF > 15m
🧭 How to use
Use 5–15m charts for accurate lunch range capture.
Scroll ~1 year for meaningful samples.
Run sensitivity checks: vary ATR/% thresholds and the post-lunch end time.
For crypto, compare with vs without weekends. 🚀
🧠 Reading the results
High P(L-swept | Up) with a solid Up-day count ⇒ on up afternoons, lunch low is often swept.
High P(H-swept | Down) ⇒ on down afternoons, lunch high is often swept.
Lower Contradictions = cleaner tendency.
Remember: this is a probabilistic tendency, not a rule. 🎲
📝 Notes & limits
All markers (arrows, text, sweep boxes) are bar-anchored; the lunch range box is a research overlay you can toggle.
Real-time vs historical bar building can differ—interpret on bar close. 🔒
Prev Daily Closes — Prev1 & Prev2 (intraday) RAJESH MAYEKARit gives last 2 days close line. when last 2 days close broke you get momentum for BTST
Volume-Price Shift Box (Lite Version)Description
This indicator is a clean and intuitive visual tool designed to help traders quickly assess the current balance of bullish and bearish forces in the market.
It combines volume, price movement, VWAP, and OBV dynamics into a compact on-chart table that updates in real time.
This version focuses on the core logic and visualization of momentum and volume shifts, making it ideal for traders who want actionable insight without complex configuration.
How It Works
The script measures the combined strength of multiple market components:
VWAP trend indicates price bias relative to fair value.
OBV (On-Balance Volume) tracks volume flow to confirm or contradict price movement.
Volume ratio compares current volume to its recent average.
Momentum evaluates directional price movement over a configurable lookback period.
Accumulation / Distribution (A/D) Line estimates buying or selling pressure within each candle:
↑ — A/D is rising (buying pressure is increasing)
↑↑ — A/D is rising faster than before (acceleration of buying)
↓ — A/D is falling (selling pressure is increasing)
↓↓ — A/D is falling faster than before (acceleration of selling)
Each of these components contributes to an overall shift score.
Depending on this score, the box displays:
🟢 Bullish Shift — strong upward alignment
🔴 Bearish Shift — downward alignment
⚪ Neutral — mixed or indecisive conditions
Key Features
Compact on-chart information box with color-coded parameters
Combined volume-price relationship model
Configurable lookback and sensitivity controls
Real-time shift strength and trend duration tracking
Adjustable EMA/SMA smoothing for all averages
Lightweight design optimized for clarity
Inputs Overview
Box Position / Size – Place and scale the on-chart info box
Lookback Period – Number of bars used for calculations
VWAP Lookback – Period for VWAP distance smoothing
Shift Sensitivity – Adjusts reaction strength of bullish/bearish shifts
Neutral Zone Threshold – Defines when the market is considered neutral
EMA or SMA – Choose exponential or simple moving averages
Component Weights – Set the influence of VWAP, OBV, Volume, and Momentum on the shift score
Display Toggles – Enable or disable metrics shown in the box (Strength, Volume, VWAP, Duration, OBV)
How to Use
Apply the indicator to any symbol and timeframe.
Observe the box on the chart — it updates dynamically.
Look for transitions between Neutral → Bullish or Neutral → Bearish shifts.
Combine with your existing price action or confirmation tools (e.g., support/resistance, trendlines).
Use the “Strength” and “Duration” values to assess consistency and momentum quality.
(This indicator is not a buy/sell signal generator — it is designed as a contextual analysis and confirmation tool.)
How It Helps
Merges several key volume and price metrics into a single view
Highlights transitions in market control between buyers and sellers
Reduces clutter by presenting only relevant context data
Works on any market and timeframe, from scalping to swing trading
⚠️Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for every investor. Users should perform their own due diligence and consult with a licensed financial advisor before making any trading decisions. The author does not guarantee any profits or results from using this script, and assumes no liability for any losses incurred. Use this script at your own risk.
🏆 AG Pro Crypto Screener & Signal Dashboard v2.7🏆 AG Pro Multi-Crypto Screener & Signal Dashboard (Completely Free)
Stop wasting your valuable time navigating dozens of charts just to find opportunities!
This completely free and professional signal dashboard scans up to 40 Crypto, Stock, or Forex assets for you from a single screen. The AG Pro Screener is designed for traders who need to make fast, informed decisions. It monitors the market 24/7, identifies 'Buy' signals based on its robust multi-filter strategy, and presents all opportunities on a professional "at-a-glance" interface.
This is not just another indicator; it's a complete Crypto Screener and Signal Panel designed for professional traders.
AG Pro Kripto Tarayıcı ve Sinyal Paneli (Multi-Crypto Screener & Signal Dashboard)
✨ Compelling Features (All 100% Free)
Advanced Dashboard Design: A best-in-class professional table with "Zebra Stripes" for easy reading, a custom-branded title bar, and a compact layout.
Multi-Symbol Scanning: Scans up to 40 different user-defined assets (Coins, Stocks, etc.) simultaneously.
Advanced Multi-Filter Strategy (All Toggleable):
Trend Filter (SMA 200): Capture only strong signals that are aligned with the main trend.
Momentum Filter (RSI): Increase your success rate by confirming signals with relative strength (e.g., RSI > 50).
Entry Signal (EMA Crossover): The core 'Buy' signal based on a fast/slow EMA cross (e.g., 20/50).
Volume Filter: Automatically filter out low-volume, illiquid, and risky assets from your signal list.
"At-a-Glance" Visual Icons: This dashboard doesn't just give signals; it shows you the quality of the signal:
Trend Column: 🔼 (Uptrend) or 🔽 (Downtrend) icons instantly show if the signal is "with the trend."
Signal Freshness Column: Special icons show how "fresh" the signal is:
🔥 (Hot): 0-3 bars ago (A new opportunity!)
❇️ (Fresh): 4-7 bars ago
⏳ (Old): 8+ bars ago (Signal may be stale)
Fully Customizable Interface:
Adjustable Text Size: Choose your own font size (Tiny, Small, Normal) to perfectly fit the table to your screen.
Selectable Timeframe: Scan your current "Chart" timeframe, or lock the panel to a specific timeframe (e.g., "4H" or "1D").
Powerful Alert Support: Set up just one single alert to receive instant notifications for all new 'Buy' signals found across all 40 assets. Perfect for strategy automation and bot setups.
⚙️ How to Use
Add this indicator (AG Pro Screener) to your chart.
Open the Settings (⚙️) panel for the script.
In the "Symbol List" section, fill the 40 empty slots with your favorite assets (e.g., BINANCE:BTCUSDT, BINANCE:ETHUSDT, NASDAQ:AAPL, etc.).
In the "Strategy Settings" section, customize your filters like EMA lengths and RSI levels to match your personal system.
Watch the dashboard scan the market for you and deliver signals in real-time!
🙏 Support & Feedback (Don't Forget to Like!)
A lot of effort went into developing this free tool. If you find it helpful, please take one second to click the Like (👍) button and Follow me for the next scripts in the "AG Pro" series.
You can leave all your suggestions and new feature requests as a comment. Happy trading!
Cora Combined Suite v1 [JopAlgo]Cora Combined Suite v1 (CCSV1)
This is an 2 in 1 indicator (Overlay & Oscillator) the Cora Combined Suite v1 .
CCSV1 combines a price-pane Overlay for structure/trend with a compact Oscillator for timing/pressure. It’s designed to be clear, beginner-friendly, and largely automatic: you pick a profile (Scalp / Intraday / Swing), choose whether to run as Overlay or Oscillator, and CCSV1 tunes itself in the background.
What’s inside — at a glance
1) Overlay (price pane)
CoRa Wave: a smooth trend line based on a compound-ratio WMA (CRWMA).
Green when the slope rises (bull bias), Red when it falls (bear bias).
Asymmetric ATR Cloud around the CoRa Wave
Width expands more up when buyer pressure dominates and more down when seller pressure dominates.
Fill is intentionally light, so candlesticks remain readable.
Chop Guard (Range-Lock Gate)
When the cloud stays very narrow versus ATR (classic “dead water”), pullback alerts are muted to avoid noise.
Visuals don’t change—only the alerting logic goes quiet.
Typical Overlay reads
Trend: Follow the CoRa color; green favors long setups, red favors shorts.
Value: Pullbacks into/through the cloud in trend direction are higher-quality than chasing breaks far outside it.
Dominance: A visibly asymmetric cloud hints which side is funding the move (buyers vs sellers).
2) Oscillator (subpane or inline preview)
Stretch-Z (columns): how far price is from the CoRa mean (mean-reversion context), clipped to ±clip.
Near 0 = equilibrium; > +2 / < −2 = stretched/extended.
Slope-Z (line): z-score of CoRa’s slope (momentum of the trend line).
Crossing 0 upward = potential bullish impulse; downward = potential bearish impulse.
VPO (stepline): a normalized Volume-Pressure read (positive = buyers funding, negative = sellers).
Rendered as a clean stepline to emphasize state changes.
Event Bands ±2 (subpane): thin reference lines to spot extension/exhaustion zones fast.
Floor/Ceiling lines (optional): quiet boundaries so the panel doesn’t feel “bottomless.”
Inline vs Subpane
Inline (overlay): the oscillator auto-anchors and scales beneath price, so it never crushes the price scale.
Subpane (raw): move to a new pane for the classic ±clip view (with ±2 bands). Recommended for systematic use.
Why traders like it
Two in one: Structure on the chart, timing in the panel—built to complement each other.
Retail-first automation: Choose Scalp / Intraday / Swing and let CCSV1 auto-tune lengths, clips, and pressure windows.
Robust statistics: On fast, spiky markets/timeframes, it prefers outlier-resistant math automatically for steadier signals.
Optional HTF gate: You can require higher-timeframe agreement for oscillator alerts without changing visuals.
Quick start (simple playbook)
Run As
Overlay for structure: assess trend direction, where value is (the cloud), and whether chop guard is active.
Oscillator for timing: move to a subpane to see Stretch-Z, Slope-Z, VPO, and ±2 bands clearly.
Profile
Scalp (1–5m), Intraday (15–60m), or Swing (4H–1D). CCSV1 adjusts length/clip/pressure windows accordingly.
Overlay entries
Trade with CoRa color.
Prefer pullbacks into/through the cloud (trend direction).
If chop guard is active, wait; let the market “breathe” before engaging.
Oscillator timing
Look for Funded Flips: Slope-Z crossing 0 in the direction of VPO (i.e., momentum + funded pressure).
Use ±2 bands to manage risk: stretched conditions can stall or revert—better to scale or wait for a clean reset.
Optional HTF gate
Enable to green-light only those oscillator alerts that align with your chosen higher timeframe.
What each signal means (plain language)
CoRa turns green/red (Overlay): trend bias shift on your chart.
Cloud width tilts asymmetrically: one side (buyers/sellers) is dominating; extensions on that side are more likely.
Stretch-Z near 0: fair value around CoRa; pullback timing zone.
Stretch-Z > +2 / < −2: extended; watch for slowing momentum or scale decisions.
Slope-Z cross up/down: new impulse starting; combine with VPO sign to avoid unfunded crosses.
VPO positive/negative: net buying/selling pressure funding the move.
Alerts included
Overlay
Pullback Long OK
Pullback Short OK
Oscillator
Funded Flip Up / Funded Flip Down (Slope-Z crosses 0 with VPO agreement)
Pullback Long Ready / Pullback Short Ready (near equilibrium with aligned momentum and pressure)
Exhaustion Risk (Long/Short) (Stretch-Z beyond ±2 with weakening momentum or pressure)
Tip: Keep chart alerts concise and use strategy rules (TP/SL/filters) in your trade plan.
Best practices
One glance workflow
Read Overlay for direction + value.
Use Oscillator for trigger + confirmation.
Pairing
Combine with S/R or your preferred execution framework (e.g., your JopAlgo setups).
The suite is neutral: it won’t force trades; it highlights context and quality.
Markets
Works on crypto, indices, FX, and commodities.
Where real volume is available, VPO is strongest; on synthetic volume, treat VPO as a soft filter.
Timeframes
Use the Profile preset closest to your style; feel free to fine-tune later.
For multi-TF trading, enable the HTF gate on the oscillator alerts only.
Inputs you’ll actually use (the rest can stay on Auto)
Run As: Overlay or Oscillator.
Profile: Scalp / Intraday / Swing.
Oscillator Render: “Subpane (raw)” for a classic panel; “Inline (overlay)” only for a quick preview.
HTF gate (optional): require higher-timeframe Slope-Z agreement for oscillator alerts.
Everything else ships with sensible defaults and auto-logic.
Limitations & tips
Not a strategy: CCSV1 is a decision support tool; you still need your entry/exit rules and risk management.
Non-repainting design: Signals finalize on bar close; intrabar graphics can adjust during the bar (Pine standard).
Very flat sessions: If price and volume are extremely quiet, expect fewer alerts; that restraint is intentional.
Who is this for?
Beginners who want one clean overlay for structure and one simple oscillator for timing—without wrestling settings.
Intermediates seeking a coherent trend/pressure framework with HTF confirmation.
Advanced users who appreciate robust stats and clean engineering behind the visuals.
Disclaimer: Educational purposes only. Not financial advice. Trading involves risk. Use at your own discretion.
3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator
Overview
The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities.
Key Features
🎥 Camera & Projection Controls
Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective
Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions
Pro Tip: Increase Z-scale to amplify terrain features for better visibility
🌐 Grid & Surface Configuration
Resolution: Adjust X (16-64) and Y (12-48) grid density
Visual Elements: Toggle surface fill, wireframe, and node markers
Optimization: Higher resolution provides more detail but requires more processing power
📊 Data Integration
Lookback Period: 50-500 bars of historical analysis
Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids
Weighted Analysis: Each data source contributes proportionally to the terrain height
How to Use the Frontend
💛 Price Line Tracking (Your Primary Focus)
The yellow price line is your most important guide:
Monitor Price Movement: Track how the yellow line interacts with the 3D terrain
Identify Key Levels: Watch for these critical interactions:
Order Blocks (Green/Red Zones):
When yellow price line enters green zones = Bullish order block
When yellow price line enters red zones = Bearish order block
These represent institutional accumulation/distribution areas
Liquidity Voids (Yellow Zones):
When yellow price line enters yellow void areas = Potential acceleration zones
Voids indicate price gaps where minimal trading occurred
Price often moves rapidly through voids toward next liquidity pool
Terrain Reading:
High Terrain Peaks: High volume/interest areas (support/resistance)
Low Terrain Valleys: Low volume areas (potential breakout zones)
Color Coding:
Green terrain = Bullish volume dominance
Red terrain = Bearish volume dominance
Purple = Neutral/transition areas
📈 Volume Profile Integration
POC (Point of Control): Automatically marks highest volume level
Volume Bins: Adjust granularity (10-50 bins)
Height Weight: Control how much volume affects terrain elevation
🏛️ Order Block Detection
Detection Length: 5-50 bar lookback for block identification
Strength Weighting: Recent blocks have greater impact on terrain
Candle Body Option: Use full candles or body-only for block definition
💧 Liquidity Zone Tracking
Multiple Levels: Track 3-10 key liquidity zones
Buy/Sell Side: Different colors for bid/ask liquidity
Strength Decay: Older zones have diminishing terrain impact
🌊 Liquidity Void Identification
Threshold Multiplier: Adjust sensitivity (0.5-2.0)
Height Amplification: Voids create significant terrain depressions
Acceleration Zones: Price typically moves quickly through void areas
Practical Trading Application
Bullish Scenario:
Yellow price line approaches green order block terrain
Price finds support in elevated bullish volume areas
Terrain shows consistent elevation through key levels
Bearish Scenario:
Yellow price line struggles at red order block resistance
Price falls through liquidity voids toward lower terrain
Bearish volume peaks dominate the landscape
Breakout Setup:
Yellow price line consolidates in flat terrain
Minimal resistance (low terrain) in projected direction
Clear path toward distant liquidity zones
Pro Tips
Start Simple: Begin with default settings, then gradually customize
Focus on Yellow Line: Your primary indicator of current price position
Combine Timeframes: Use the same terrain across multiple timeframes for confluence
Volume Confirmation: Ensure terrain peaks align with actual volume spikes
Void Anticipation: When price enters voids, prepare for potential rapid movement
Order Blocks & Voids Architecture
Order Blocks Calculation
Trigger: Price breaks fractal swing points
Bullish OB: When close > swing high → find lowest low in lookback period
Bearish OB: When close < swing low → find highest high in lookback period
Strength: Based on price distance from block extremes
Storage: Global array maintains last 50 blocks with FIFO management
Liquidity Voids Detection
Trigger: Price gaps exceeding ATR threshold
Bull Void: Low - high > (ATR200 × multiplier)
Bear Void: Low - high > (ATR200 × multiplier)
Validation: Close confirms gap direction
Storage: Global array maintains last 30 voids
Key Design Features
Real-time Updates: Calculated every bar, not just on last bar
Global Persistence: Arrays maintain state across executions
FIFO Management: Automatic cleanup of oldest entries
Configurable Sensitivity: Adjustable lookback periods and thresholds
Scientific Testing Framework
Hypothesis Testing
Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts
Testable Metrics:
Prediction Accuracy: Does terrain structure predict future support/resistance?
Reaction Time: Faster identification of key levels vs conventional methods
False Positive Reduction: Lower rate of failed breakouts/breakdowns
Control Variables
Market Regime: Trending vs ranging conditions
Asset Classes: Forex, equities, cryptocurrencies
Timeframes: M5 to H4 for intraday, D1 for swing
Volume Conditions: High vs low volume environments
Data Collection Protocol
Terrain Features to Quantify:
Slope gradient changes at price inflection points
Volume peak clustering density
Order block terrain elevation vs subsequent price action
Void depth correlation with momentum acceleration
Control Group: Traditional support/resistance + volume profile
Experimental Group: 3D Institutional Flow Terrain
Statistical Measures
Signal-to-Noise Ratio: Terrain features vs random price movements
Lead Time: Terrain formation ahead of price confirmation
Effect Size: Performance difference between groups (Cohen's d)
Statistical Power: Sample size requirements for significance
Validation Methodology
Blind Testing:
Remove price labels from terrain screenshots
Have traders identify key levels from terrain alone
Measure accuracy vs actual price action
Backtesting Framework:
Automated terrain feature extraction
Correlation with future price reversals/breakouts
Monte Carlo simulation for significance testing
Expected Outcomes
If hypothesis valid:
Significant improvement in level prediction accuracy (p < 0.05)
Reduced latency in institutional level identification
Higher risk-reward ratios on terrain-confirmed trades
Research Questions:
Does terrain elevation reliably indicate institutional interest zones?
Are liquidity voids statistically significant momentum predictors?
Does multi-timeframe terrain analysis improve signal quality?
How does terrain persistence correlate with level strength?
LuxAlgo BigBeluga hapharmonic
False Breakout + Confirmation + Retest + Entry ZoneAn indicator that identifies false breakouts.
If a candle breaks through a level and then returns below it, it's called a false breakout. I've added 5-minute zones for precise entry.
Dual FUT/Spot price with next monthly expiryThis Pine Script dashboard indicator is specifically designed for pair trading strategies in Indian futures markets (NSE). Let me break down how it facilitates pair trading:
Core Pair Trading Concept
The script monitors two correlated stocks simultaneously (Symbol A and Symbol B), comparing their:
Spot prices vs Futures prices
Current month futures vs Next month futures
Premium/discount relationships
Key Pair Trading Features
1. Dual Symbol Monitoring
symbolA = "NSE:TCS" (Default)
symbolB = "NSE:INFY" (Default)
Allows traders to watch two stocks in the same sector (like TCS and Infosys in IT) to identify relative value opportunities.
2. Basis Analysis for Each Stock
The indicator calculates the basis (difference between futures and spot):
Price Difference: FUT - SPOT
Premium/Discount %: ((FUT - SPOT) / SPOT) × 100
This helps identify when one stock's futures are relatively more expensive than the other's.
3. Multi-Expiry View
Near Month Futures (1!): Current active contract
Next Month Futures (2!): Upcoming contract
This enables calendar spread analysis within each stock and helps anticipate rollover effects.
4. Comparative Table
The detailed table displays side-by-side:
Symbol Spot Price Near Future Near Diff (%)Next Monthly Next Diff (%)Lot SizeTCS₹3,500₹3,520+20 (+0.57%)₹3,535+35 (+1.00%)125INFY₹1,450₹1,455+5 (+0.34%)₹1,460+10 (+0.69%)600
5. Lot Size Integration
Critical for position sizing in pair trades - the indicator fetches actual contract lot sizes, enabling proper hedge ratio calculations.
Pair Trading Strategies Enabled
Strategy 1: Basis Divergence Trading
When TCS futures trade at +0.8% premium and INFY at +0.2%
Trade: Short TCS futures, Long INFY futures (betting on convergence)
The indicator highlights these differences with color-coded cells
Strategy 2: Calendar Spread Arbitrage
Compare near month vs next month premium for each stock
If TCS shows wider calendar spread than INFY, potential arbitrage exists
Trade the relative calendar spread difference
Strategy 3: Premium/Discount Reversal
Monitor which stock moves from premium to discount (or vice versa)
Color indicators (green/red) make this immediately visible
Enter pairs when relative premium relationships normalize
Strategy 4: Lot-Adjusted Pair Trading
Use lot size data to create market-neutral positions
Example: If TCS lot = 125 and INFY lot = 600
Ratio = 600/125 = 4.8:1 for rupee-neutral positioning
Visual Trading Cues
Green cells: Futures at premium (contango)
Red cells: Futures at discount (backwardation)
Purple values: Next month contracts
Yellow highlights: Spot prices
Practical Pair Trading Example
Scenario: Both stocks in same sector, historically correlated
Normal state: Both show +0.5% premium
Divergence: TCS jumps to +1.2%, INFY stays at +0.5%
Trade Signal:
Short TCS futures (expensive)
Long INFY futures (relatively cheap)
Exit: When premiums converge back to similar levels
Hedge ratio: Use lot sizes to maintain proper exposure balance
Advantages for Pair Traders
✓ Single-screen monitoring of both legs
✓ Real-time basis calculations eliminate manual math
✓ Multi-timeframe view (near + next month)
✓ Automatic lot size fetching for position sizing
✓ Visual alerts through color coding
✓ Percentage normalization for easy comparison
This indicator essentially transforms raw price data into actionable pair trading intelligence by highlighting relative value discrepancies between correlated assets in the futures market.
Enjoy!!
Scientific Correlation Testing FrameworkScientific Correlation Testing Framework - Comprehensive Guide
Introduction to Correlation Analysis
What is Correlation?
Correlation is a statistical measure that describes the degree to which two assets move in relation to each other. Think of it like measuring how closely two dancers move together on a dance floor.
Perfect Positive Correlation (+1.0): Both dancers move in perfect sync, same direction, same speed
Perfect Negative Correlation (-1.0): Both dancers move in perfect sync but in opposite directions
Zero Correlation (0): The dancers move completely independently of each other
In financial markets, correlation helps us understand relationships between different assets, which is crucial for:
Portfolio diversification
Risk management
Pairs trading strategies
Hedging positions
Market analysis
Why This Script is Special
This script goes beyond simple correlation calculations by providing:
Two different correlation methods (Pearson and Spearman)
Statistical significance testing to ensure results are meaningful
Rolling correlation analysis to track how relationships change over time
Visual representation for easy interpretation
Comprehensive statistics table with detailed metrics
Deep Dive into the Script's Components
1. Input Parameters Explained-
Symbol Selection:
This allows you to select the second asset to compare with the chart's primary asset
Default is Apple (NASDAQ:AAPL), but you can change this to any symbol
Example: If you're viewing a Bitcoin chart, you might set this to "NASDAQ:TSLA" to see if Bitcoin and Tesla are correlated
Correlation Window (60): This is the number of periods used to calculate the main correlation
Larger values (e.g., 100-500) provide more stable, long-term correlation measures
Smaller values (e.g., 10-50) are more responsive to recent price movements
60 is a good balance for most daily charts (about 3 months of trading days)
Rolling Correlation Window (20): A shorter window to detect recent changes in correlation
This helps identify when the relationship between assets is strengthening or weakening
Default of 20 is roughly one month of trading days
Return Type: This determines how price changes are calculated
Simple Returns: (Today's Price - Yesterday's Price) / Yesterday's Price
Easy to understand: "The asset went up 2% today"
Log Returns: Natural logarithm of (Today's Price / Yesterday's Price)
More mathematically elegant for statistical analysis
Better for time-additive properties (returns over multiple periods)
Less sensitive to extreme values.
Confidence Level (95%): This determines how certain we want to be about our results
95% confidence means we accept a 5% chance of being wrong (false positive)
Higher confidence (e.g., 99%) makes the test more strict
Lower confidence (e.g., 90%) makes the test more lenient
95% is the standard in most scientific research
Show Statistical Significance: When enabled, the script will test if the correlation is statistically significant or just due to random chance.
Display options control what you see on the chart:
Show Pearson/Spearman/Rolling Correlation: Toggle each correlation type on/off
Show Scatter Plot: Displays a scatter plot of returns (limited to recent points to avoid performance issues)
Show Statistical Tests: Enables the detailed statistics table
Table Text Size: Adjusts the size of text in the statistics table
2.Functions explained-
calcReturns():
This function calculates price returns based on your selected method:
Log Returns:
Formula: ln(Price_t / Price_t-1)
Example: If a stock goes from $100 to $101, the log return is ln(101/100) = ln(1.01) ≈ 0.00995 or 0.995%
Benefits: More symmetric, time-additive, and better for statistical modeling
Simple Returns:
Formula: (Price_t - Price_t-1) / Price_t-1
Example: If a stock goes from $100 to $101, the simple return is (101-100)/100 = 0.01 or 1%
Benefits: More intuitive and easier to understand
rankArray():
This function calculates the rank of each value in an array, which is used for Spearman correlation:
How ranking works:
The smallest value gets rank 1
The second smallest gets rank 2, and so on
For ties (equal values), they get the average of their ranks
Example: For values
Sorted:
Ranks: (the two 2s tie for ranks 1 and 2, so they both get 1.5)
Why this matters: Spearman correlation uses ranks instead of actual values, making it less sensitive to outliers and non-linear relationships.
pearsonCorr():
This function calculates the Pearson correlation coefficient:
Mathematical Formula:
r = (nΣxy - ΣxΣy) / √
Where x and y are the two variables, and n is the sample size
What it measures:
The strength and direction of the linear relationship between two variables
Values range from -1 (perfect negative linear relationship) to +1 (perfect positive linear relationship)
0 indicates no linear relationship
Example:
If two stocks have a Pearson correlation of 0.8, they have a strong positive linear relationship
When one stock goes up, the other tends to go up in a fairly consistent proportion
spearmanCorr():
This function calculates the Spearman rank correlation:
How it works:
Convert each value in both datasets to its rank
Calculate the Pearson correlation on the ranks instead of the original values
What it measures:
The strength and direction of the monotonic relationship between two variables
A monotonic relationship is one where as one variable increases, the other either consistently increases or decreases
It doesn't require the relationship to be linear
When to use it instead of Pearson:
When the relationship is monotonic but not linear
When there are significant outliers in the data
When the data is ordinal (ranked) rather than interval/ratio
Example:
If two stocks have a Spearman correlation of 0.7, they have a strong positive monotonic relationship
When one stock goes up, the other tends to go up, but not necessarily in a straight-line relationship
tStatistic():
This function calculates the t-statistic for correlation:
Mathematical Formula: t = r × √((n-2)/(1-r²))
Where r is the correlation coefficient and n is the sample size
What it measures:
How many standard errors the correlation is away from zero
Used to test the null hypothesis that the true correlation is zero
Interpretation:
Larger absolute t-values indicate stronger evidence against the null hypothesis
Generally, a t-value greater than 2 (in absolute terms) is considered statistically significant at the 95% confidence level
criticalT() and pValue():
These functions provide approximations for statistical significance testing:
criticalT():
Returns the critical t-value for a given degrees of freedom (df) and significance level
The critical value is the threshold that the t-statistic must exceed to be considered statistically significant
Uses approximations since Pine Script doesn't have built-in statistical distribution functions
pValue():
Estimates the p-value for a given t-statistic and degrees of freedom
The p-value is the probability of observing a correlation as strong as the one calculated, assuming the true correlation is zero
Smaller p-values indicate stronger evidence against the null hypothesis
Standard interpretation:
p < 0.01: Very strong evidence (marked with **)
p < 0.05: Strong evidence (marked with *)
p ≥ 0.05: Weak evidence, not statistically significant
stdev():
This function calculates the standard deviation of a dataset:
Mathematical Formula: σ = √(Σ(x-μ)²/(n-1))
Where x is each value, μ is the mean, and n is the sample size
What it measures:
The amount of variation or dispersion in a set of values
A low standard deviation indicates that the values tend to be close to the mean
A high standard deviation indicates that the values are spread out over a wider range
Why it matters for correlation:
Standard deviation is used in calculating the correlation coefficient
It also provides information about the volatility of each asset's returns
Comparing standard deviations helps understand the relative riskiness of the two assets.
3.Getting Price Data-
price1: The closing price of the primary asset (the chart you're viewing)
price2: The closing price of the secondary asset (the one you selected in the input parameters)
Returns are used instead of raw prices because:
Returns are typically stationary (mean and variance stay constant over time)
Returns normalize for price levels, allowing comparison between assets of different values
Returns represent what investors actually care about: percentage changes in value
4.Information Table-
Creates a table to display statistics
Only shows on the last bar to avoid performance issues
Positioned in the top right of the chart
Has 2 columns and 15 rows
Populating the Table
The script then populates the table with various statistics:
Header Row: "Metric" and "Value"
Sample Information: Sample size and return type
Pearson Correlation: Value, t-statistic, p-value, and significance
Spearman Correlation: Value, t-statistic, p-value, and significance
Rolling Correlation: Current value
Standard Deviations: For both assets
Interpretation: Text description of the correlation strength
The table uses color coding to highlight important information:
Green for significant positive results
Red for significant negative results
Yellow for borderline significance
Color-coded headers for each section
=> Practical Applications and Interpretation
How to Interpret the Results
Correlation Strength
0.0 to 0.3 (or 0.0 to -0.3): Weak or no correlation
The assets move mostly independently of each other
Good for diversification purposes
0.3 to 0.7 (or -0.3 to -0.7): Moderate correlation
The assets show some tendency to move together (or in opposite directions)
May be useful for certain trading strategies but not extremely reliable
0.7 to 1.0 (or -0.7 to -1.0): Strong correlation
The assets show a strong tendency to move together (or in opposite directions)
Can be useful for pairs trading, hedging, or as a market indicator
Statistical Significance
p < 0.01: Very strong evidence that the correlation is real
Marked with ** in the table
Very unlikely to be due to random chance
p < 0.05: Strong evidence that the correlation is real
Marked with * in the table
Unlikely to be due to random chance
p ≥ 0.05: Weak evidence that the correlation is real
Not marked in the table
Could easily be due to random chance
Rolling Correlation
The rolling correlation shows how the relationship between assets changes over time
If the rolling correlation is much different from the long-term correlation, it suggests the relationship is changing
This can indicate:
A shift in market regime
Changing fundamentals of one or both assets
Temporary market dislocations that might present trading opportunities
Trading Applications
1. Portfolio Diversification
Goal: Reduce overall portfolio risk by combining assets that don't move together
Strategy: Look for assets with low or negative correlations
Example: If you hold tech stocks, you might add some utilities or bonds that have low correlation with tech
2. Pairs Trading
Goal: Profit from the relative price movements of two correlated assets
Strategy:
Find two assets with strong historical correlation
When their prices diverge (one goes up while the other goes down)
Buy the underperforming asset and short the outperforming asset
Close the positions when they converge back to their normal relationship
Example: If Coca-Cola and Pepsi are highly correlated but Coca-Cola drops while Pepsi rises, you might buy Coca-Cola and short Pepsi
3. Hedging
Goal: Reduce risk by taking an offsetting position in a negatively correlated asset
Strategy: Find assets that tend to move in opposite directions
Example: If you hold a portfolio of stocks, you might buy some gold or government bonds that tend to rise when stocks fall
4. Market Analysis
Goal: Understand market dynamics and interrelationships
Strategy: Analyze correlations between different sectors or asset classes
Example:
If tech stocks and semiconductor stocks are highly correlated, movements in one might predict movements in the other
If the correlation between stocks and bonds changes, it might signal a shift in market expectations
5. Risk Management
Goal: Understand and manage portfolio risk
Strategy: Monitor correlations to identify when diversification benefits might be breaking down
Example: During market crises, many assets that normally have low correlations can become highly correlated (correlation convergence), reducing diversification benefits
Advanced Interpretation and Caveats
Correlation vs. Causation
Important Note: Correlation does not imply causation
Example: Ice cream sales and drowning incidents are correlated (both increase in summer), but one doesn't cause the other
Implication: Just because two assets move together doesn't mean one causes the other to move
Solution: Look for fundamental economic reasons why assets might be correlated
Non-Stationary Correlations
Problem: Correlations between assets can change over time
Causes:
Changing market conditions
Shifts in monetary policy
Structural changes in the economy
Changes in the underlying businesses
Solution: Use rolling correlations to monitor how relationships change over time
Outliers and Extreme Events
Problem: Extreme market events can distort correlation measurements
Example: During a market crash, many assets may move in the same direction regardless of their normal relationship
Solution:
Use Spearman correlation, which is less sensitive to outliers
Be cautious when interpreting correlations during extreme market conditions
Sample Size Considerations
Problem: Small sample sizes can produce unreliable correlation estimates
Rule of Thumb: Use at least 30 data points for a rough estimate, 60+ for more reliable results
Solution:
Use the default correlation length of 60 or higher
Be skeptical of correlations calculated with small samples
Timeframe Considerations
Problem: Correlations can vary across different timeframes
Example: Two assets might be positively correlated on a daily basis but negatively correlated on a weekly basis
Solution:
Test correlations on multiple timeframes
Use the timeframe that matches your trading horizon
Look-Ahead Bias
Problem: Using information that wouldn't have been available at the time of trading
Example: Calculating correlation using future data
Solution: This script avoids look-ahead bias by using only historical data
Best Practices for Using This Script
1. Appropriate Parameter Selection
Correlation Window:
For short-term trading: 20-50 periods
For medium-term analysis: 50-100 periods
For long-term analysis: 100-500 periods
Rolling Window:
Should be shorter than the main correlation window
Typically 1/3 to 1/2 of the main window
Return Type:
For most applications: Log Returns (better statistical properties)
For simplicity: Simple Returns (easier to interpret)
2. Validation and Testing
Out-of-Sample Testing:
Calculate correlations on one time period
Test if they hold in a different time period
Multiple Timeframes:
Check if correlations are consistent across different timeframes
Economic Rationale:
Ensure there's a logical reason why assets should be correlated
3. Monitoring and Maintenance
Regular Review:
Correlations can change, so review them regularly
Alerts:
Set up alerts for significant correlation changes
Documentation:
Keep notes on why certain assets are correlated and what might change that relationship
4. Integration with Other Analysis
Fundamental Analysis:
Combine correlation analysis with fundamental factors
Technical Analysis:
Use correlation analysis alongside technical indicators
Market Context:
Consider how market conditions might affect correlations
Conclusion
This Scientific Correlation Testing Framework provides a comprehensive tool for analyzing relationships between financial assets. By offering both Pearson and Spearman correlation methods, statistical significance testing, and rolling correlation analysis, it goes beyond simple correlation measures to provide deeper insights.
For beginners, this script might seem complex, but it's built on fundamental statistical concepts that become clearer with use. Start with the default settings and focus on interpreting the main correlation lines and the statistics table. As you become more comfortable, you can adjust the parameters and explore more advanced applications.
Remember that correlation analysis is just one tool in a trader's toolkit. It should be used in conjunction with other forms of analysis and with a clear understanding of its limitations. When used properly, it can provide valuable insights for portfolio construction, risk management, and pair trading strategy development.
ka66: Symbol InformationThis shows a table of all current (Pine v6) `syminfo.` values.
Please note this is primarily of use to Pine Developers, or the curious trader.
There are a few of these around on TradingView, but many seem to focus on the use case they have. This script just dumps all values, in alphabetical order of properties.
You can use this to inspect the details of the symbol, which in turn, can be fed into various scripts covering tasks such as:
Position Sizing calculation (which requires things like tick, pointvalue, and currency details)
Recommendation engines (which use the recommendation_* properties)
Fundamentals on stocks (which may use share count information, and possibly employee information)
Note that not all table values are populated, as they depend on the instrument being introspected. For example, a share ticker will have some different details to a Forex pair. The `NaN` values (the "Not A Number" special value in programming parlance) are not a bug, they are simply Pine reporting that no value is set for it. I have opted to dump out values as-is as the focus is developers.
My motivation to create it was to write a position sizing tool. Additionally, the output of this script is cleanly formatted, with monospace fonts and conventional alignment for tables/forms with key and values. It also allows customising the table position. Ideally this feature is made part of the default TradingView customisation, but at this time, it is not, and tables don't auto-adjust their positions.
EMA & ORB/PM LevelsScript that combines EMA and opening range and Premarket high and low levels all in one so you can save using three indicators and just use this one.
VWAP + EMA shows the VWAP + EMA 9/20/50/100/200 all in one indicator... you can adjust VWAP's calculation method + color + the outer bands or remove them.. can remove fill as well.. personally i just keep the VWAP
TRI - Support/Resistance ZonesTRI - SUPPORT/RESISTANCE ZONES v1.0
DESCRIPTION:
Professional support and resistance level indicator based on body pivot analysis.
Unlike traditional indicators that use wicks (high/low), this tool identifies key levels
using candle bodies (open/close), providing more reliable and significant price zones.
KEY FEATURES:
Body-based pivot detection for more meaningful levels
Automatic level validation (excludes breached levels)
Smart level filtering (avoids cluttered charts)
Configurable number of support/resistance levels (1-5 each)
Visual customization (colors, transparency, line extension)
Real-time breakout alerts for resistance and support levels
Clean and intuitive interface with price labels
HOW IT WORKS:
The indicator scans historical price action to identify pivot points based on candle bodies.
Only valid levels (not breached since formation) are displayed. Levels are automatically
filtered by proximity to avoid visual clutter while maintaining the most relevant zones.
Breakout alerts trigger when price closes above resistance or below support.
BEST USE:
Ideal for swing trading, day trading, and identifying key decision points.
Works on all timeframes and asset classes.
