SMC Flow: Order Blocks & FVGDescription:
This indicator is designed to identify key liquidity zones based on Smart Money Concepts (SMC). It focuses on identifying high-probability reversal and continuation areas by tracking Order Blocks and Price Imbalances.
Key Features:
Order Blocks (OB): Automatically identifies supply and demand zones. The script filters for candles with high relative volume (above 20-period SMA) to ensure the zone represents significant market activity.
Fair Value Gaps (FVG): Detects 3-candle imbalance structures where price moved rapidly, leaving "gaps" that often act as magnets for future price action.
Structure Tracking: Includes a visual step-line based on the highest high and lowest low of the last 10 bars to help traders identify the current market bias.
How to use:
Demand/Supply Zones: Look for Price Action confirmation when the market returns to the highlighted Order Block boxes.
Efficiency: Use FVG boxes to identify where the market is "unbalanced." These areas often get filled before a trend continues.
Confluence: This tool is most effective when used in alignment with higher timeframe analysis and additional technical filters.
Sentiment
Volume Dynamic Liquidity BandsThis indicator visualizes liquidity zones on the chart by detecting areas where high-volume trading occurred. It combines volume analysis with price action to identify significant liquidity levels that traders and market makers are likely watching.
DLR - Daily Liquidity Range Framework (v1.3)Daily Level Ranges
This strategy targets discounted premiums for buying Call/Put Options in discounted areas based on liquidity levels that form ranges.
Opening Range creates the strongest liquidity for the day.
Premarket Highs/Lows are strong liquidity points.
Previous Day Highs/Lows are reliable liquidity points.
PMH/PML and PDH/PDL may alternate positions relative to OR.
* Discounted Calls are taken under the OR in Bullish conditions
* Discounted Puts are taken above the OR in bearish conditions.
- Momentum Calls are taken at the OR in Bullish Conditions
- Momentum Puts are taken at the OR in Bearish Conditions
Institutional Frontrunner w/ PCR & VIX - Fixed Distance LabelsUse this script to evaluate if buying or selling is indicated based on a variety of metrics surrounding momentum and volume or institutional traders.
Time Pressure ZonesTime Pressure Zones is a multi‑purpose candle and volume‑based indicator that highlights moments when markets are likely being driven by urgency rather than routine trading flow.
**Overview**
Detects sequences of strong, one‑directional candles accompanied by volume spikes to approximate institutional time pressure (forced buying or selling).
Paints subtle background zones, labels, and a net‑pressure histogram so you can see when aggressive flow is building or exhausting across any instrument and timeframe.
**Core Logic**
A bar is tagged “strong” when its real body occupies at least a user‑defined percentage of the full high‑low range, filtering out indecision candles and long‑wick noise.
Volume is compared to a rolling 20‑bar average; only bars with volume above a configurable multiple are treated as meaningful participation, which makes the tool adapt to different symbols and sessions.
The script counts consecutive bars that are both strong and high‑volume in the same direction, then flags a time‑pressure event once a set fraction of the lookback has been reached (e.g., 2 out of 3, 3 out of 5).
**Visual Outputs**
Background shading: green or red bands mark active bullish or bearish time‑pressure windows without overpowering other tools on the chart.
On‑chart labels: “↑ Time Pressure” and “↓ Time Pressure” appear only on the first bar of a new pressure sequence, ideal for alerts and discretionary entries.
Net Pressure histogram: plots the difference between bullish and bearish streak counts, giving a quick at‑a‑glance sense of which side currently dominates.
**Sessions and News**
Uses UTC‑based logic to highlight London and New York open and close windows, where institutional flows and intraday “deadline” behavior tend to cluster.
Includes a manual News Window toggle so you can mark high‑impact event periods (CPI, FOMC, NFP, etc.), aligning tape‑based urgency with scheduled catalysts.
**How To Use**
Look to join moves when fresh time‑pressure labels print into session opens, breakouts, or key levels, rather than fading them.
Tune the three main inputs per market and timeframe: lower thresholds for choppy or thin markets, and higher body/volume requirements for very liquid symbols like major indices or BTC pairs.
Delta Hedging Pressure📊 COT Delta Hedging Pressure – Institutional Sentiment Indicator
This indicator visualizes institutional hedging pressure by aggregating delta-style positioning into a clean, session-aware sentiment framework.
Instead of guessing direction, it shows who is likely hedging vs. pressing, helping traders align intraday execution with higher-timeframe positioning.
🔍 What This Indicator Does
Calculates cumulative hedging pressure using price-based delta logic
Classifies market state into:
Bullish (positive hedge pressure)
Bearish (negative hedge pressure)
Neutral (balanced flow)
Resets cleanly by session or user-defined period
Visualizes sentiment using:
Background shading
Labels
Cumulative plots
🧠 How Traders Use It
Directional bias filter (trade only with sentiment)
Context for FVGs, liquidity raids, and pullbacks
Avoids chop by identifying neutral hedge conditions
Pairs especially well with:
XAUUSD
Index CFDs
Futures / CFD hybrids
⚙️ Key Features
Session-aware cumulative logic
Adjustable sensitivity and lookback
Clean visual design (no clutter)
Non-repainting calculations
Works on 1m → HTF
⚠️ Important Notes
This is a context tool, not a signal generator
Best used alongside price structure and risk management
Designed for discipline and alignment, not overtrading
🎯 Ideal For
Scalpers & intraday traders
Traders using:
Fair Value Gaps (FVG)
Liquidity sweeps
Session-based models
Traders transitioning from prop logic to personal capital
🧩 Final Thought
This indicator answers one question:
“Is the market hedging or pressing — and should I be aggressive or patient?”
If you trade with structure, this keeps you on the right side.
Market State Fear & Greed Bubble Index V1Market State Fear & Greed Bubble Index V1
📊 Comprehensive Market Sentiment Analyzer
This advanced indicator measures market psychology through a multi-dimensional scoring system, combining demand/supply pressure, trend momentum, and statistical extremes to identify fear/greed cycles and trading opportunities.
🎯 Core Features
Five-Factor Fear & Greed Score
Weighted sentiment analysis:
Demand/Supply (25%): Real-time buying/selling pressure
RSI (25%): Momentum extremes
KDJ (20%): Overbought/oversold detection
Bollinger Band % (20%): Statistical positioning
ADX Trend (10%): Trend strength confirmation
Multi-Layer Market State Detection
Extreme Fear/Greed: Statistical bubble identification
Trend Bias: Bullish/Bearish/Neutral classification
Confidence Scoring: Setup reliability assessment
Reversal Alerts: Early trend change signals
Visual Dashboard
Top-right information panel displays:
Fear & Greed Score (0-100)
Market State Classification
Trend Bias & Confidence
Signal Quality & Alerts
📈 Key Components
Fear & Greed Gauge
0-30: Extreme Fear (buying opportunities)
30-47: Fear (accumulation zones)
47-70: Neutral (consolidation)
70-90: Greed (caution zones)
90-100: Extreme Greed (selling opportunities)
Deviation Zones
Red Zone (±17.065): Critical reversal areas
Yellow Zone (±34.135): Warning levels
Blue Zone (±47.72): Statistical extremes where reversals are highly likely. These occur when asset prices are in a bubble that's about to pop.
Signal Types
Buy/Sell Labels: Primary entry/exit signals
Scalp Signals: Short-term opportunities
Bottom/Top Detectors: Extreme reversal zones
Whale Indicators: Institutional activity markers
🚀 Trading Applications
Extreme Fear Setups Conditions:
Fear & Greed Score < 34.135
BB% < 0 or < J-inverted line
RSI < 34.135
Confidence score > 68%
Bullish divergence present
Action: Accumulation positions, scaled entries
Extreme Greed Setup Conditions:
Fear & Greed Score > 68.2
BB% > 100 or > 80 with divergence
RSI > 68.2
ADX showing trend exhaustion
Multiple timeframe resistance
Action: Profit-taking, protective stops
Trend Following
Bullish Conditions:
Sentiment score rising from fear zones
DMI+ above DMI- and rising
Confidence > 75%
Volume supporting moves
Bearish Conditions:
Sentiment declining from greed zones
DMI- above DMI+ and rising
Distribution patterns
Multiple resistance failures
⚙️ Customization Options
Adjustable Parameters:
DMI Settings: DI lengths, ADX smoothing
KDJ Periods: Customizable sensitivity
BB% Range: Statistical band adjustments
Smoothing Options: Demand/Supply filtering
Alert Thresholds: Custom signal levels
Visual Customization:
Color schemes for different market states
Line thickness and style preferences
Information panel display options
Alert sound/visual preferences
📊 Signal Interpretation
Primary Signals:
Green 'B': Strong buy opportunity
Red 'S': Strong sell opportunity
White 'Scalp': Short-term trade
Trade Area: Accumulation/distribution zones
Visual Markers:
🔥: Bullish momentum building
🐻: Bear exhaustion building
🐳: Whale/institutional activity
Color-coded fills: Market state visualization
Confidence Levels:
≥80%: High reliability setups
60-79%: Moderate confidence
<60%: Low confidence, avoid or reduce size
⚠️ Risk Management Guidelines
Critical Rules:
Never trade against extreme sentiment (Extreme Fear → buy, Extreme Greed → sell)
Require multiple confirmation signals
Use confidence scores for position sizing
Avoid When:
Conflicting signals between components
Low volume participation
Confidence score < 50%
Major news events pending
Extreme volatility conditions
💡 Advanced Strategies
Sentiment Cycle Trading
Identify sentiment extremes
Wait for confirmation reversals
Enter with trend confirmation
Exit at opposite sentiment extreme
Use confidence scores and fear & greed scores to scale:
Fear & greed scores < 30 = buy area
Fear & greed score > 60 = sell area
Trend Momentum
Exit: At extreme greed with divergence
Enter: At extreme fear with divergence
📊 Market State Classification
Five Primary States:
EXTREME FEAR (BB% <0, RSI <34, Score <34)
FEAR (Score 34-47, bearish momentum)
NEUTRAL (Score 47-70, consolidation)
GREED (Score 70-90, bullish momentum)
EXTREME GREED (Score >90, BB% >100)
State Transitions:
Fear → Neutral: Early accumulation
Neutral → Greed: Trend development
Greed → Extreme Greed: Distribution
Extreme → Reversal: Trend change
🔍 Information Panel Guide
Real-Time Metrics:
FEAR & GREED: Current sentiment score
Market State: Classification and bias
Trend Bias: Bullish/Bearish/Neutral
Confidence: Setup reliability percentage
Momentum: Current directional strength
Volatility: Market condition assessment
Signal Quality: Trade recommendation
Reversal Imminent: Early warning alerts
🌟 Unique Advantages
Psychological Edge:
Quantifies market emotion through multiple indicators
Identifies bubbles before they pop
Provides statistical confidence for each setup
Combines technical extremes with sentiment analysis
Offers clear visual cues for decision making
Professional Features:
Multi-timeframe sentiment analysis
Real-time confidence scoring
Comprehensive alert system
Institutional activity detection
Clear risk/reward visualization
📚 Educational Value
This indicator teaches:
Market psychology cycles
Statistical extreme identification
Multi-indicator confirmation
Risk quantification methods
Professional trade management
Perfect for traders seeking to understand and profit from market sentiment cycles.
Disclaimer: For educational purposes. Trading involves risk. Past performance doesn't guarantee future results.
Important Level by DXB16**Important Level by DXB16 – The Essential Structure Indicator**
This indicator automatically displays the most important price zones of your market across three timeframes: Daily High/Low, Weekly High/Low, and Monthly High/Low. All levels update in real-time.
**What you'll see:**
- Current daily, weekly, and monthly highs and lows as clear horizontal lines
- Instant context of where the current price sits within the daily, weekly, and monthly range
- Classic reversal, range, and breakout zones at a glance
**Perfect for:**
- Identifying range-bound vs. trend days
- Liquidity grabs and mean-reversion setups at critical levels
- Higher timeframe context for intraday trading
- Futures, indices, forex, crypto
**Features:**
- 6 fully customizable colored lines (Daily, Weekly, Monthly – each High/Low)
- Adjustable label text size
- Clean, minimalist design without distracting boxes
- Fully dynamic – no manual adjustments needed
5 EMA Scalper EMA ScalperThis script uses a 5 EMA and 21 EMA to generate buy and Take Profit signals.
The strategy uses a candle that opens on one side of the fast moving 5 EMA and closes on the other side. The candle must be opposite color of preceding candle.
NY Overnight Magnet Map for RTH v1This tool is designed to give you overnight structure so you can trade the NY session with clear reference points.
1) Start Your Day With the Overnight Range
When NY RTH opens, the indicator already has the Overnight High (ONH) and Overnight Low (ONL) mapped out.
These levels act like intraday boundaries that price often reacts to.
Use case:
Identify whether price is trading inside the overnight range or outside of it.
2) Watch How Price Behaves Near ONH / ONL
During RTH, price will frequently respond to these levels like:
pause zones
reaction points
reversal areas
breakout zones
Use case:
If price is approaching ONH/ONL, treat it like a decision level and wait for confirmation before entering.
3) Use the Overnight Zone as Your “Map”
The shaded range helps you quickly see:
when price is in a contained environment
when price is moving into expansion / breakout conditions
Use case:
Inside the zone = be more selective and patient
Outside the zone = focus on structure confirmation + momentum follow-through
4) Use Internal Levels for Better Context (Optional)
If enabled, the script also plots internal range levels to help you judge where price is positioned within the overnight structure.
Use case:
Helps separate upper / middle / lower range behavior without overcomplicating the chart.
5) Treat ONH/ONL Like Risk Boundaries
Even if you don’t trade directly off the lines, you can use them as:
targets
invalidation points
trade management references
Use case:
Tighten risk when trading near key boundaries
Look for clean setups away from noise areas
The Order Flow ToolThe Order Flow Tool - Institutional-Grade Order Flow & Footprint Analysis
See the real buyers and sellers. No fake delta. No lag. No repaint. The Order Flow Tool exposes live executed order flow, volume footprint clusters, stacked imbalances, absorption zones, and liquidity traps so you can see who's actually controlling price. Built for futures, crypto, and CFDs.
CRT Multi-TF | v9.68 + Sweep Scalp - Price Prediction BiasMainly this is a Scalper and Price Prediction for give you a Market bias.
CRT Multi-TF v9.68 is a price-bias + scalp prediction tool designed to help traders identify high-probability intraday direction and potential breakout / reversal zones using multi-timeframe confluence.
It delivers Buy/Sell bias signals, strong-signal confirmations, and projected price targets to support scalping decisions, bracket entries, and trade management.
Big Move Spot-By TARA-SwingLab FrameworkThis advanced Pine Script v6 indicator fuses Pivot Boss Day Types (TR/WD/MD/TD/RD) with a proprietary *Scoring Engine* (up to 100+ boost) for precise entries.
*Key Features:*
- *Day Classification:* Auto-detects Trader Day (low gap), Weak/Strong trends via gap analysis
- *Multi-Factor Score:* RSI (multi-TF), Volume surge, ATR expansion, Gap + Momentum
- *Visual Signals:* Strong/Medium Bull/Bear shapes + Background colors + Real-time Table (Gap%, Prob%, Action: ENTER NOW/PREPARE/WAIT)
- *Session Filter:* 9:15-14:00 IST only
- *Alerts:* "🚀 STRONG BULL NIFTY TD Score:92 LONG!"
*Backtested Edge:* 3:1 R:R targets, 60-75% prob moves on non-TR days.
Perfect for intraday traders! Scalping & Directional Trading.
Source protected.
Precision EMA Position Engine Scalping PRO🟦 PRECISION EMA POSITION ENGINE SCALPING PRO
Institutional EMA Structure & Execution Alignment Framework
Product Category: Trend Positioning, Momentum Structure, Execution Timing, Risk Exit Management
Designed For: Scalpers, intraday traders, swing traders, and systematic technical traders across Crypto, Forex, Stocks, Commodities, and Indices
🟦1 OVERVIEW
Precision EMA Position Engine Scalping PRO is a professional-grade EMA positioning and execution framework engineered to identify high-probability trading environments by enforcing strict alignment between macro trend, internal structure, execution timing, and exit momentum. Instead of relying on isolated crossovers, the system evaluates price through multiple EMA layers, each with a defined role, and only allows signals when structural conditions are synchronized. This replaces discretionary guessing with rule-based positional clarity and execution discipline.
🟦2 CORE CONCEPT
The framework is built on one institutional principle: profitable trades emerge when trend, structure, and momentum agree. The indicator separates the market into four functional layers: macro trend control, micro structural validation, execution trigger, and dynamic exit protection. Each layer must confirm before actionable signals are produced, ensuring trades occur in aligned environments rather than during noise or transition phases.
🟦3 MACRO TREND CONTROL (EMA 50 / EMA 100)
The EMA 50 and EMA 100 define the dominant directional bias. When EMA 50 is above EMA 100, the system recognizes a bullish macro environment. When EMA 50 is below EMA 100, the system recognizes a bearish macro environment. This layer acts as a permission filter, preventing counter-trend execution and anchoring all decisions within the prevailing higher-order structure.
🟦4 MICRO STRUCTURE VALIDATION (EMA STACKS)
Internal market strength is validated through three EMA stacks: EMA 30 / 50, EMA 16 / 30, and EMA 13 / 17. For bullish structure, each faster EMA must be above its slower counterpart, confirming progressive momentum expansion across short- and mid-term horizons. For bearish structure, the inverse must occur. The colored EMA fills visualize compression, expansion, and alignment, allowing traders to instantly assess structural quality.
🟦5 PRECISION EXECUTION LAYER (EMA 8 / EMA 12)
The EMA 8 / EMA 12 crossover is used strictly as an execution trigger, not as a trend signal. ENTRY 1 is generated only when macro trend is aligned, all micro structures are confirmed, and EMA 8 crosses EMA 12 in the direction of the trend. This ensures entries occur after structure is established, reducing false starts and late reactions.
🟦6 DUAL ENTRY ARCHITECTURE
ENTRY 1 represents the highest-quality setup, requiring full macro and micro confirmation before execution. ENTRY 2 activates when EMA 50 crosses EMA 100, signaling early trend emergence. This allows traders to participate either conservatively with full structure confirmation or more aggressively during early trend development, without altering the core framework.
🟦7 INTELLIGENT EXIT MANAGEMENT (EMA 5 / EMA 8)
Exit logic is position-aware and momentum-based. An exit signal triggers only when EMA 5 crosses below EMA 8 and a valid position is active. This prevents random exits during consolidation and ensures trades are closed when momentum deteriorates rather than at arbitrary levels. The system enforces disciplined trade termination while allowing trends to develop.
🟦8 NON-REPAINTING EXECUTION CONTROL
A dedicated “Wait for Candle Close Confirmation” setting allows traders to choose between non-repainting confirmation and faster intrabar responsiveness. When enabled, all signals are confirmed only after candle close, ensuring historical integrity and execution reliability. When disabled, signals may appear intrabar for traders prioritizing speed.
🟦9 SETTINGS & CUSTOMIZATION
EMA Configuration: All EMA lengths used for macro trend, micro structure, execution, and exit are fully adjustable.
Visual Control: Colors, line widths, EMA fills, and signal marker positions are fully customizable to match personal chart layouts.
Signal Display: ENTRY 1, ENTRY 2, and EXIT markers can be individually enabled or disabled.
Table Configuration: The condition table position and colors are user-defined, providing real-time structural bias feedback without clutter.
Behavior: The indicator adapts automatically to any chart timeframe and works consistently across all TradingView symbols.
🟦10 CONDITION TABLE & STRUCTURAL FEEDBACK
The condition table displays the current structural state of the market. Green indicates aligned bullish macro and micro conditions. Red indicates bearish or misaligned conditions. The table is informational, not predictive, and serves as a constant context reminder to support disciplined decision-making.
🟦11 PRACTICAL USAGE GUIDANCE
This framework is best used to identify when to participate, not how often to trade. Traders should wait for macro alignment, confirm micro structure, execute using ENTRY 1 whenever possible, manage risk externally, and allow the exit logic to enforce discipline. The system integrates seamlessly with price action, support and resistance, volume, or higher-timeframe analysis.
🟦12 MARKETS & TIMEFRAMES
Precision EMA Position Engine Scalping PRO works on all TradingView markets and instruments, including Crypto, Forex, Indices, Commodities, and Stocks. It is compatible with all timeframes, from lower-timeframe scalping to higher-timeframe swing and position trading, with logic adapting naturally to chart resolution.
🟦13 WHAT THIS INDICATOR IS NOT
This is not a signal spam tool, not a prediction engine, and not a guaranteed profit system. It does not replace risk management, position sizing, or trader responsibility. It is a structured decision-support framework designed to enforce alignment, patience, and consistency.
🟦14 VALUE PROPOSITION
Precision EMA Position Engine Scalping PRO transforms complex EMA behavior into a clear, rule-based execution framework. By enforcing alignment across trend, structure, execution, and exit layers, it helps traders trade less frequently but with higher quality, confidence, and discipline.
🟦15 DISCLAIMER
This indicator is an analytical tool provided for educational purposes only and does not constitute financial advice. Trading involves risk, and users are fully responsible for execution decisions, risk management, and position sizing. Always test in a simulated environment before live use.
finarchist| Personal Trade/Market Sentinel DashboardTrade/Market Sentinel Dashboard
About
1. It's Your Personal "Trade/Market Sentinel Dashboard"
As a trader, the fear of "missing out" on an opportunity in another chart is very real. This tool is like a silent market sentinel or a personal radar system constantly running in the corner of your screen. While you're intensely focused on your Bitcoin chart, this radar is quietly monitoring gold, silver, or all your tracked stocks in the background.
* What it means for the end-user: It eliminates the anxiety of "What's happening on other charts?" and brings clarity to your trading decisions.
2. Filters Out the "Noise" and Highlights What Matters
Traders often get caught up in the excitement of price movements and enter trades at the wrong times. This panel tells you precisely when the price has entered a zone that is actually important to your trading plan.
* What it means for the end-user: You simply watch the market until the panel flashes "Yellow" (Watch) or "Green" (Action). This discipline protects you from impulsive, emotional, and potentially costly trading mistakes.
3. Your Digital "To-Do List" for the Market
Before the market opens, you analyze charts and make your plans: "I'll buy stock X if it drops to $100." This panel acts as a digital ledger, remembering all those intentions for you.
* What it means for the end-user: No more scattered notes or phone reminders. Your entire market strategy is neatly organized and displayed directly on your trading screen.
4. Simplifies "Distance" at a Glance
Raw price numbers can sometimes be deceiving (e.g., the significance of the difference between $54.320 and $54.100 might not immediately register). The panel translates these into a clear percentage distance.
* What it means for the end-user: Instead of asking "How much further to my target?", you get a clear answer like "You're 99% there, prepare for action."
5. Cultivates a Professional Trading Mindset
Beyond its direct functions, this panel subtly instills discipline. The organized and structured presentation of data helps the trader adopt a more organized and professional approach to the market.
* What it means for the end-user: You transition from a casual, reactive trader to someone who approaches the market with the seriousness and structure of a professional on a trading desk.
In Summary: Why Should an End-User Choose This Tool?
* To Reduce Mental Fatigue: Remembering 20 different price levels is impossible; this radar does it for you.
* For Swift Decision-Making: Instantly see which assets are "ready for action" with a quick glance at the colors.
* To Prevent Costly Mistakes: It keeps you disciplined, ensuring you only engage with assets that meet your predefined entry criteria.
———————————
Trade/Market Sentinel Dashboard
Strategic Operations Guide
1. Executive Summary
The "Trade/Market Sentinel Dashboard" is a high-performance decision-support dashboard designed for professional traders. It centralizes market intelligence by monitoring up to 20 assets simultaneously, allowing you to execute complex trading plans with surgical precision and zero emotional bias.
2. Core Value Propositions
A. Multi-Asset Surveillance
Eliminate the inefficiency of switching between dozens of charts. The Radar provides a consolidated view of your entire watchlist, ensuring that no market movement goes unnoticed while you focus on your primary analysis.
B. Intelligent Status Engine
The system automatically prioritizes your watchlist into three actionable tiers:
* WAIT (Standard): Markets are being monitored but are currently outside of strategic interest.
* WATCH (Elevated): Price has entered your predefined "Proximity Zone." It is time to prepare for execution.
* EXECUTION (Immediate): Price has reached your exact entry coordinate. Immediate action is required.
C. Directional Precision
Whether you are deploying Long or Short strategies, the Radar dynamically adjusts its performance tracking. It calculates the exact percentage distance to your entry, providing instant feedback on your strategy's validity.
3. Operational Setup (Step-by-Step)
1. Deployment: Activate the indicator on your primary chart.
2. Asset Configuration: Open settings and input your target symbols (e.g., AAPL, BTCUSD, XAUUSD).
3. Define Entry Points (EP): Enter your calculated entry prices for each asset.
4. Set Bias: Toggle between "Long" or "Short" for each row.
5. Establish Proximity: Define your "Alert Distance" (e.g., 0.5%) to determine when the Radar should shift to WATCH status.
4. Interface Placement Strategy
To maintain a clean professional workspace, the Radar can be docked in four positions. Choose based on your specific visual workflow:
Position Strategic Use Case
*Bottom Left Recommended. Keeps the right-hand price scale and recent candles unobstructed.
*Top Right Best for traders who use bottom-mounted oscillators (like RSI or MACD).
*Bottom Right Useful if your left side is dedicated to drawing tools or social feeds.
*Top Left Ideal for "Price Action" traders who focus on the lower half of the chart.
Trend Signal Pro v2.1Trend Signal Pro is a technical analysis indicator designed to help traders
identify market trend direction and potential entry points.
The indicator analyzes price behavior using standard candlestick data
and applies trend-filtering logic to reduce false signals during
sideways market conditions.
Signals are generated only when multiple internal conditions align,
making it suitable for intraday and swing trading across different markets.
This indicator does not repaint and should be used as a decision-support tool,
not as a standalone trading system. Proper risk management is advised.
Trinity Opening Range and Previous Day BreakoutTrinity Previous Day Breakout + Opening Range + Fib/ATR Targets Indicator
This is a comprehensive day-trading indicator designed primarily for stocks (especially US equities), focusing on **previous day breakout strategies** with strong visual support and customization.
### Core Concept
The indicator helps identify when price breaks out of the **Previous Day Range** (PDH/PDL), marks important reference levels from pre-market and opening range, shows potential take-profit targets, and visually highlights range-bound vs breakout behavior.
### Main Features
1. **Previous Day High & Low (PDH/PDL)**
Blue line = Previous Day High
Red line = Previous Day Low
These levels are the core breakout references for the entire session.
2. **Pre-Market High & Low (PMH/PML)**
Orange line = Pre-market session high (default 4:00–9:30 ET)
Purple line = Pre-market session low
Appears only after pre-market ends (useful for judging early strength/weakness).
3. **Opening Range (Initial Balance)**
Lime line = Opening Range High (ORH)
Fuchsia line = Opening Range Low (ORL)
Semi-transparent yellow box highlights the time period where the opening range is being formed
User-selectable duration: 5 min, 10 min, 15 min, 30 min, or 1 hour (default = 1h)
Only appears after the selected period completes.
4. **VWAP Levels**
Aqua dashed line = Current session VWAP
Gray dashed line = Previous day’s VWAP (very useful as a big-picture bias reference)
5. **Background Coloring**
- **Light gray** = current candle is completely inside previous day range (consolidation)
- **Green** = candle breaks above PDH (bullish expansion)
- **Red** = candle breaks below PDL (bearish expansion)
6. **Breakout Signals**
Green ↑ arrow below bar = close crosses above PDH (bullish breakout trigger)
Red ↓ arrow above bar = close crosses below PDL (bearish breakout trigger)
7. **Take-Profit / Target Levels** (most customizable part)
Three levels are calculated after the **first** breakout of the day (either direction)
They remain visible until the next trading day.
Two calculation modes (toggleable):
- **ATR mode** (default) → targets = breakout level ± multiplier × daily 14-period ATR
- **Fibonacci Extension mode** → targets = breakout level ± multiplier × previous day range (PDH - PDL)
Three target lines per direction:
- TP1 (usually green) – first / conservative target
- TP2 (green) – main target for many traders
- TP3 (brighter green/red) – stretch / runner target
**Important customization options:**
- Toggle to use Fib mode instead of ATR
- Quick preset dropdown with 3 popular combinations:
- Conservative → 0.5 / 1.0 / 1.5
- Standard → 0.618 / 1.0 / 1.618
- Aggressive → 1.0 / 1.618 / 2.618
- Custom mode → manually type any values you prefer (0.382, 1.272, 2.0, 3.0, etc.)
8. **Right-edge Labels**
Clean, non-cluttering labels appear on the right side of the chart (only on the last bar):
- PDH, PDL, PMH, PML, ORH, ORL
- Current VWAP, Previous VWAP
- All active TP levels (Bull TP1/2/3 or Bear TP1/2/3)
Global toggle to show/hide all labels at once.
### How to Use the Indicator Effectively (Typical Day-Trading Workflow)
1. **Before Open**
- Look at PDH/PDL distance → wide range = bigger potential moves
- Check previous day VWAP position for overall bias
2. **Pre-market / Early Session**
- Watch where price is relative to PMH/PML
- Note if early action is respecting or rejecting these levels
3. **Opening Range Formation (first 5–60 min)**
- Observe the yellow box — tight range = potential explosive breakout later
- ORH/ORL often act as very strong intraday support/resistance
4. **Breakout Phase**
- Wait for strong close above PDH (green arrow + green background) → consider long
- Or strong close below PDL (red arrow + red background) → consider short
- The first breakout usually sets the directional bias for much of the day
5. **Targets & Management**
- After breakout trigger → three target lines appear automatically
- Use presets or custom multipliers according to market conditions:
• Quiet/low-volatility days → Conservative or even smaller multipliers
• High-volatility/strong trend days → Standard or Aggressive
- Many traders take partial profits at TP1 or TP2, let a runner run toward TP3
6. **Additional Context**
- Compare price action to current VWAP (short-term mean reversion)
- Use previous VWAP as a major pivot/magnet level
- Background color helps quickly see whether market is still ranging or expanding
### Quick Tips
- Best on 5m–15m timeframes for intraday trading
- Works especially well on volatile stocks (tech, small-caps, meme stocks)
- Toggle off features you don't use (especially labels if screen gets crowded)
- When using Fib mode, experiment with multipliers like 0.382 / 0.618 / 1.0 for more conservative targets
- The indicator resets all levels automatically at the start of each new trading day
JMMF3 PANTOKRATOR V1.5.4 [update]This script implements an advanced market reading and diagnostic system based on a deterministic state architecture. Its design follows formal systems engineering principles and structural evaluation criteria, with the purpose of identifying valid operational contexts and vetoing those that do not meet the required conditions.
The system does not perform predictions and does not provide investment recommendations. Its function is strictly analytical and intended to support user decision making by offering an objective framework for market assessment across different operational states.
The script evaluates multiple market dimensions in a synchronized manner and only recognizes states that are fully validated by its internal architecture. There is no automated discretion and no trade execution. The user retains full responsibility for any operational decision at all times.
Access to this script is private and granted exclusively by invitation. Its use is limited to personal purposes and is non transferable. Any form of reproduction, redistribution, or reverse engineering is strictly prohibited.
This development does not constitute financial advice nor an automated trading system.
This script is available in both Spanish and English versions.
Market Control LevelsMarket Control Levels (MCL)
A market structure indicator that highlights control levels derived from price momentum + volume percentile behavior.
It identifies potential Buy Control and Sell Control levels when the market shows statistically significant activity.
Designed as a context and level-mapping tool, not an automatic entry/exit system.
🔹 Core Concept
This indicator evaluates each bar using:
Momentum (price change over a short lookback)
Volume percentile rank (relative volume compared to recent history)
When momentum and volume align strongly enough, the script locks in a control level:
Buy Level is mapped from the bar’s low during strong bullish pressure
Sell Level is mapped from the bar’s high during strong bearish pressure
These levels can act as reference zones for reaction, continuation, or rejection.
⚙️ How It Works
1) Percentile Ranking
Volume PercentRank measures how “high” the current volume is relative to the past Comparison period.
Momentum PercentRank measures how large the current momentum is relative to the same window.
2) Weighted Pressure Score
Bars are classified into volume zones:
High volume zone
Medium volume zone
Low volume zone
Each zone applies a configurable weight, producing a final score (rank_2) that reflects directional pressure intensity.
3) Control Level Creation
When the pressure score crosses the user-defined threshold:
Rank 2 ≥ Threshold → updates Buy Level
Rank 2 ≤ -Threshold → updates Sell Level
Levels remain active until replaced by a new qualifying event.
✅ Use Cases
Marking areas where buyers or sellers showed strong control
Mapping reaction levels during pullbacks or extensions
Adding a context layer to other systems (VWAP, Volume Profile, Orderflow, etc.)
⚠️ Disclaimer
This indicator is a market analysis tool designed to highlight statistically significant pressure-based levels.
It does not provide guaranteed buy/sell signals and should be used with proper risk management and a complete trading plan.
Aggregate Bull & Bear IndexAggregate Bull and Bear Index
The Aggregate Bull and Bear Index represents a systematic approach to measuring market sentiment through the aggregation of multiple fundamental market factors. This indicator draws conceptual inspiration from the Bank of America Bull and Bear Indicator, a widely followed institutional sentiment gauge that has demonstrated significant predictive value for market turning points over multiple market cycles (Hartnett, 2019). While the original Bank of America indicator relies on proprietary institutional data flows and internal metrics that remain inaccessible to individual investors, the Aggregate Bull and Bear Index provides a methodologically similar framework using publicly available market data, thereby democratizing access to sentiment analysis previously reserved for institutional participants.
The theoretical foundation of sentiment based investing rests on decades of behavioral finance research demonstrating that market participants systematically exhibit predictable psychological biases during periods of extreme optimism and pessimism. Shiller (2000) documented how irrational exuberance manifests in asset prices through feedback loops of investor enthusiasm, while Kahneman and Tversky (1979) established that human decision making under uncertainty deviates substantially from rational expectations. These behavioral patterns create opportunities for contrarian strategies that exploit the tendency of crowds to overreact at market extremes. The Aggregate Bull and Bear Index quantifies these psychological states by synthesizing information from diverse market segments into a unified scale ranging from zero to ten, where readings below two indicate extreme fear and readings above eight signal extreme greed.
Methodology and Calculation Framework
The methodology underlying the Aggregate Bull and Bear Index incorporates statistical normalization techniques that transform raw market data into comparable standardized scores. Each component factor is processed through a calculation that measures how far current values deviate from historical norms, effectively capturing whether specific market metrics exhibit unusual readings relative to their own history. These normalized components are then aggregated using a weighting scheme designed to balance information from different market segments while minimizing noise and false signals. The final composite undergoes percentile ranking over a trailing lookback period to produce the familiar zero to ten scale that facilitates intuitive interpretation.
The indicator incorporates several important features designed to enhance signal quality and reduce the probability of acting on spurious readings. A consensus filter examines whether multiple underlying components align in the same direction, adding weight to signals when broad agreement exists across different market factors and discounting readings that rest on narrow evidence. Dynamic threshold adjustment allows the extreme zones to adapt to changing market volatility regimes, recognizing that the appropriate definition of extreme varies depending on ambient market conditions. These refinements reflect lessons learned from decades of quantitative finance research on signal processing and regime detection.
Professional Application and Portfolio Integration
Professional portfolio managers have long recognized the value of sentiment indicators as a complementary tool to fundamental and technical analysis. The fundamental insight underlying sentiment based strategies is elegantly simple yet empirically robust. When market participants become uniformly bullish, marginal buyers become exhausted and the probability of price declines increases substantially. Conversely, when pessimism reaches extreme levels, forced selling creates attractive entry points for patient capital. Bank of America research found that their Bull and Bear Indicator generated a remarkable track record when deployed as a contrarian signal, with extreme fear readings historically preceding positive forward returns in equity markets (Bank of America Global Research, 2020). The Aggregate Bull and Bear Index applies this same contrarian logic while adapting the methodology to accommodate the data constraints facing individual investors.
For institutional investors operating with fiduciary responsibilities and substantial capital, the Aggregate Bull and Bear Index serves as one input among many in comprehensive risk management frameworks. Large asset managers might use extreme readings to trigger portfolio review processes, stress testing exercises, or adjustments to tactical allocation overlays. The indicator proves particularly valuable when it diverges from consensus expectations, as such divergences often precede meaningful market inflections. Hedge fund managers implementing systematic strategies can incorporate the index as a conditioning variable that adjusts position sizing or strategy weights based on the prevailing sentiment environment.
The integration of sentiment analysis into investment practice finds support in the concept of informational efficiency and the limits thereof. While efficient market hypothesis suggests that prices reflect all available information, the behavioral finance literature demonstrates that information processing by market participants exhibits systematic biases that create temporary mispricings (Barberis and Thaler, 2003). Sentiment indicators capture the psychological dimension of this information processing, providing insight into how market participants collectively interpret and react to fundamental developments. Extreme sentiment readings often indicate that psychological factors have pushed prices away from levels justified by fundamentals alone, creating opportunities for those willing to act against prevailing market opinion.
Practical Implementation for Individual Investors
The practical implementation of the indicator follows straightforward principles that both sophisticated institutions and individual retail traders can apply within their existing investment frameworks. When the index falls into the extreme fear zone below a reading of two, this suggests that market participants have become excessively pessimistic and that risk assets may offer favorable risk reward characteristics. Traders might consider this an opportune moment to increase equity exposure or reduce hedging positions. When the index rises into the extreme greed zone above eight, the opposite dynamic applies and a defensive posture becomes prudent. This could manifest as reducing equity allocations, increasing cash reserves, or implementing protective hedging strategies. The neutral zone between these extremes suggests no strong directional bias from a sentiment perspective, during which time other analytical frameworks should take precedence in decision making.
Individual retail investors can derive substantial benefit from the indicator even without sophisticated infrastructure or large capital bases. The most straightforward application involves treating extreme readings as alerts that warrant careful examination of existing portfolio positioning. A reading in the extreme fear zone might prompt consideration of whether recent market declines have created opportunities to deploy excess cash or rebalance toward equities. A reading in the extreme greed zone could trigger review of whether current equity exposure exceeds target allocations and whether risk reduction measures merit consideration. Importantly, the indicator should inform rather than dictate investment decisions, serving as one valuable perspective within a broader analytical framework.
Retail investors frequently find themselves at a psychological disadvantage during market extremes because emotional responses to portfolio losses or gains often prompt actions contrary to long term wealth accumulation. The academic literature on investor behavior consistently documents that individual investors tend to buy near market peaks when confidence runs highest and sell near market bottoms when fear dominates (Barber and Odean, 2000). A systematic sentiment indicator provides an objective framework for recognizing these emotional extremes and consciously acting against natural psychological impulses. By externalizing the assessment of market mood into a quantifiable metric, investors create psychological distance from their own emotional state and gain perspective on the collective sentiment environment.
The decision to implement a sentiment indicator within an investment process requires thoughtful consideration of how it complements existing analytical approaches. Technical analysts may find that sentiment readings help contextualize chart patterns and momentum signals, with extreme fear adding conviction to bullish technical setups and extreme greed warranting caution even when price trends appear strong. Fundamental investors can use sentiment as a timing tool that helps avoid the common mistake of being right on valuation but wrong on timing. Quantitative investors might incorporate sentiment factors into multi factor models or use them to adjust position sizing across strategies.
Trading Behavior and Strategy Characteristics
The Aggregate Bull and Bear Index employs a contrarian investment methodology that fundamentally diverges from trend following approaches prevalent in systematic trading. The trading logic rests upon the principle of accumulating positions when collective fear pervades market sentiment and liquidating those positions when greed dominates investor psychology. This approach stands in direct opposition to momentum strategies that amplify existing market movements rather than positioning against them.
The observation that the indicator frequently initiates long positions despite subsequent downward price movement represents not a flaw but an inherent characteristic of contrarian strategies. When the indicator signals extreme fear, this indicates that market participants have already engaged in substantial selling and pessimistic expectations have become embedded in asset prices. However, this emphatically does not guarantee that the ultimate trough has been reached. Fear can intensify, panic selling can escalate, and fundamental deterioration can trigger additional price declines before stabilization occurs. The indicator identifies phases where the statistical probability distribution of future returns appears favorable rather than pinpointing exact inflection points. Academic research by De Bondt and Thaler (1985) demonstrated that markets systematically overreact to both positive and negative information, creating opportunities for patient contrarian investors willing to endure interim volatility.
Risk Profile and Investment Considerations
This characteristic produces a distinctive risk profile that investors must thoroughly comprehend before implementation. The primary danger manifests in what practitioners colloquially term catching a falling knife. Purchasing assets during declining markets exposes capital to potentially severe interim drawdowns even when the ultimate investment thesis proves correct. The backtest evidence reveals numerous instances where positions experienced double digit percentage declines before eventually generating positive returns or triggering exit signals. Investors lacking the psychological fortitude to maintain positions through such adversity will inevitably abandon the strategy at precisely the wrong moment, crystallizing losses that patient adherents would have recovered. Behavioral research by Odean (1998) documented that individual investors exhibit a strong disposition effect, holding losing positions too long in some contexts while selling winners prematurely, yet paradoxically abandoning systematic strategies during drawdowns when discipline matters most.
The temporal dimension of contrarian investing demands particular attention. Unlike trend following strategies that can generate returns relatively quickly by riding established momentum, contrarian approaches often require extended holding periods before mean reversion materializes. The indicator may signal fear and initiate positions that subsequently experience weeks or months of continued decline before sentiment shifts and prices recover. This extended timeline conflicts with human psychological preferences for immediate gratification and creates substantial opportunity for doubt and strategy abandonment. Investors must recognize that the strategy optimizes for terminal wealth accumulation over extended horizons rather than minimizing short term discomfort.
A critical risk factor involves the possibility of genuine regime changes that invalidate historical relationships. While extreme fear readings have historically preceded favorable forward returns, this pattern assumes that pessimism eventually proves excessive and fundamentals stabilize or improve. In scenarios involving structural economic transformation, permanent impairment of earnings power, or systemic financial crisis, fear may prove entirely justified rather than excessive. The indicator cannot distinguish between irrational panic creating buying opportunities and rational recognition of deteriorating fundamentals. This limitation underscores the importance of using the indicator as one input among many rather than as a standalone decision mechanism.
Risk management applications deserve particular attention given the indicator's historical tendency to signal market stress before price declines fully materialize. Portfolio managers charged with protecting capital during drawdowns can use rising greed readings as an early warning system that justifies defensive measures such as reducing beta exposure, increasing cash allocations, or purchasing portfolio protection through options strategies. The contrarian nature of the indicator means that protective action occurs when markets appear strongest rather than weakest, avoiding the common trap of implementing risk reduction after substantial losses have already occurred.
Opportunity Set and Compounding Benefits
The opportunity set presented by contrarian sentiment investing derives from persistent behavioral biases that academic research has extensively documented. Extrapolation bias leads investors to assume recent trends will continue indefinitely, causing excessive optimism after gains and excessive pessimism after losses (Greenwood and Shleifer, 2014). Herding behavior amplifies these tendencies as investors observe and mimic the actions of others, creating self reinforcing cycles of buying or selling that push prices away from fundamental values. The Aggregate Bull and Bear Index systematically exploits these patterns by positioning against the prevailing emotional consensus.
The compounding benefits of buying during fear merit emphasis. When the indicator signals extreme pessimism, asset prices by definition trade at depressed levels relative to recent history. Investors who accumulate positions at these reduced valuations capture not only potential price recovery but also enhanced long term compound returns from reinvesting dividends and earnings at favorable prices. This mathematical advantage compounds over decades, explaining why legendary investors from Benjamin Graham to Warren Buffett have emphasized the importance of purchasing during periods of market distress despite the psychological difficulty such actions entail.
Investor Suitability and Implementation Requirements
Regarding suitability, the Aggregate Bull and Bear Index aligns most appropriately with investors possessing specific characteristics. First, a genuinely long term investment horizon measured in years rather than months proves essential. The strategy will underperform during extended bull markets when momentum approaches dominate and will experience painful interim drawdowns during crisis periods. Only investors capable of maintaining positions through these challenging phases will capture the strategy's full return potential. Second, psychological resilience to act against consensus and tolerate portfolio volatility represents a prerequisite. Research by Goetzmann and Kumar (2008) demonstrated that most individual investors lack the temperament for contrarian strategies despite their theoretical appeal. Third, sufficient financial reserves to avoid forced liquidation during drawdowns ensures that temporary price declines do not become permanent capital impairment.
The indicator proves less suitable for investors seeking steady returns with minimal volatility, those with short investment horizons or imminent liquidity needs, and individuals whose emotional responses to portfolio fluctuations compromise rational decision making. Institutional investors with quarterly performance pressures may find the strategy incompatible with their governance constraints despite its long term merits. Retirees depending on portfolio withdrawals must carefully consider whether interim drawdowns could force disadvantageous liquidations.
For appropriate investors, the Aggregate Bull and Bear Index offers a systematic framework for implementing time tested contrarian principles that have generated superior long term returns across multiple market cycles. By externalizing sentiment assessment into an objective metric, the indicator helps investors overcome the natural human tendency to capitulate at market bottoms and chase performance at market tops. The strategy demands patience, discipline, and genuine long term orientation, but rewards those characteristics with the potential for meaningful wealth accumulation over extended investment horizons.
Proprietary Elements and Limitations
The proprietary aspects of the indicator's construction reflect both practical and theoretical considerations. From a practical standpoint, maintaining certain methodological details as proprietary preserves the informational advantage that the indicator provides and prevents degradation of signal quality that might occur if widespread adoption prompted market participants to trade directly against the underlying components. From a theoretical perspective, the specific parameter choices and weighting schemes represent empirical findings from extensive research that constitute intellectual property developed through substantial effort.
Academic research on sentiment indicators provides encouraging evidence regarding their predictive value while appropriately acknowledging limitations. Baker and Wurgler (2006) demonstrated that investor sentiment predicts the cross section of stock returns, with high sentiment periods followed by lower returns for speculative stocks prone to overvaluation during euphoric conditions. Brown and Cliff (2005) found that sentiment measures contain information about near term market returns beyond that captured by traditional risk factors. However, the same literature cautions that sentiment signals exhibit variable lead times and occasional false positives, reinforcing the importance of using such indicators as part of comprehensive analytical frameworks rather than standalone trading systems.
The Aggregate Bull and Bear Index ultimately represents an attempt to bridge the gap between institutional grade sentiment analysis and the tools available to broader investor populations. By providing a systematic framework for assessing collective market psychology, the indicator empowers users to recognize emotional extremes and consider contrarian positioning when conditions warrant. The historical tendency of markets to reverse from extreme sentiment readings creates opportunities for those willing to act against crowd psychology, while the indicator's multi factor construction and quality filters help distinguish genuine extremes from temporary fluctuations. Whether deployed by professional money managers seeking to refine risk management practices or individual investors striving to overcome behavioral biases, the Aggregate Bull and Bear Index offers a valuable perspective on the eternal struggle between fear and greed that drives financial markets.
References
Baker, M. and Wurgler, J. (2006) Investor sentiment and the cross section of stock returns. The Journal of Finance, 61(4), pp. 1645 to 1680.
Bank of America Global Research (2020) The Bull and Bear Indicator: A contrarian timing tool. Bank of America Securities Research Report.
Barber, B.M. and Odean, T. (2000) Trading is hazardous to your wealth: The common stock investment performance of individual investors. The Journal of Finance, 55(2), pp. 773 to 806.
Barberis, N. and Thaler, R. (2003) A survey of behavioral finance. Handbook of the Economics of Finance, 1, pp. 1053 to 1128.
Brown, G.W. and Cliff, M.T. (2005) Investor sentiment and asset valuation. The Journal of Business, 78(2), pp. 405 to 440.
De Bondt, W.F.M. and Thaler, R. (1985) Does the stock market overreact? The Journal of Finance, 40(3), pp. 793 to 805.
Goetzmann, W.N. and Kumar, A. (2008) Equity portfolio diversification. Review of Finance, 12(3), pp. 433 to 463.
Greenwood, R. and Shleifer, A. (2014) Expectations of returns and expected returns. The Review of Financial Studies, 27(3), pp. 714 to 746.
Hartnett, M. (2019) Flow Show: Bull and Bear Indicator methodology and applications. Bank of America Merrill Lynch Investment Strategy.
Kahneman, D. and Tversky, A. (1979) Prospect theory: An analysis of decision under risk. Econometrica, 47(2), pp. 263 to 291.
Odean, T. (1998) Are investors reluctant to realize their losses? The Journal of Finance, 53(5), pp. 1775 to 1798.
Shiller, R.J. (2000) Irrational Exuberance. Princeton University Press.
IA | Universal Real Time Screener For All AssetsDISCLAIMER:
⚠️ Tool designed to **COMPLEMENT** trading decisions.
PURPOSE:
This real-time screener identifies potential mean reversion opportunities across all markets, timeframes, and assets. It calculates a probabilistic reversion level using an AI/quantitative model and displays the current price's deviation from that level as a percentage.
SCREENING CAPACITY: View up to **600 assets simultaneously** on one screen. 40 Assets each table.
Add 5 modules each one with 3 tables, this manner you are able to see 600 assets in one screen.
LOGIC:
1. The core engine calculates a dynamic "Reversion Level" . This level is derived from a multi-factor model analyzing price structure, volume, volatility and momentum among others.
2. Percentage close to 100% suggests reversion level (potential selling).
3. Percentage close to cero(0%) suggests reversion level (potential buying).
4. Percentages not reaching zero % or 100% suggest neutrality.
OPTIMAL SETUP FOR MAXIMUM PRECISION:
TIMEFRAME: For highest accuracy, use on the **1-second** chart. This provides the most granular real-time data for the AI model.
NAVIGATION: Use the page selector at the bottom of the screener table to navigate through results. Page number can also be configured in the indicator's input settings.
VISUAL ALERT SYSTEM - ENTRY ZONE WARNING:
GREEN HIGHLIGHT: Activates when the price is approaching the BUY/ENTRY ZONE. Indicates the asset is getting close to an optimal long entry point.
RED HIGHLIGHT: Activates when the price is approaching the SELL/SHORT ENTRY ZONE from below. Indicates the asset is getting close to an optimal short entry point.
This visual cue helps anticipate entries before the exact reversion level is reached, allowing better trade preparation.
RokTrades's Info Table LITERokTrade’s Info Table — LITE is the free “quick context” version of my PRO table.
I built this for intraday traders who want the important market internals and key levels in one clean panel, without turning the chart into a mess. This version is intentionally trimmed: no scoring engine, no ORB module, no trap logic, and no chart plotting — just the core info I check every session.
WHAT LITE INCLUDES
INTERNALS (LIVE)
VIX: value + 1-bar change, plus optional “since open” delta in the hint column
Put/Call (P/C): includes a moving average and a simple regime tag (P/C above MA = risk-off, below = risk-on)
ADD: advance/decline with change + optional since-open delta
NYSE U/D and NASDAQ U/D: signed up/down volume ratio
Optional toggles: TRIN and TICK (if you want them)
SIMPLE “STATE TAGS” (NO SCORING)
This is not a bias/score engine, but it does give quick context:
VIX Regime: VIX vs EMA
P/C Regime: P/C vs MA
Breadth Bias: simple majority read using available breadth signals so you can see if internals are leaning bullish, bearish, or mixed
KEY LEVELS (TABLE ONLY)
Premarket High / Low (PMH / PML)
Prior Day High / Low (PDH / PDL)
Prior Day Close (YClose)
Prior Day Mid (PD Mid)
UI / USABILITY
Compact vs Expanded table mode
Mobile-friendly short labels option
Table position + text size controls
Optional “update only on last bar” for performance
NOTES
Premarket High/Low requires Extended Hours candles enabled.
If you don’t see certain internals on your symbol/exchange, that’s usually a data feed/symbol mapping limitation (TradingView varies by broker/feed).
WHAT THE PRO VERSION ADDS (TEASER)
PRO is where the “decision layer” lives:
Bias scoring engine
OPEN bias vs INT bias + alignment / divergence read
ORB 15/30/60 status
Trap warning system + play hints (when breakouts/breakdowns are suspect)
Prior Day Volume Profile levels (YPOC + Value Area)
Plot up to 10 key levels on the chart with labels + styling options
