Optiona Pro Dual Volume Profile + POC VAH VAL with LabelsWhat so special of this indicator is It provides the Volume Profile and POC i.e Point of control level and VAH , Value High area, which is the level where the price is can get reverse in terms of price action and VAL , the psychological point of price where the price has a chance to reverse point and it also provides Sellers Volume profile and Buyers volume profile both are can be plotted individually or both are at a time.
This indicator Has
1) Buyer Volume Profile
2) Seller volume Profile
3) POC, VAH & VAL levels for each Volume Profile ( buyer profile separately and seller profile separately )
4) This indicator extremely use full to find the buy and sell levels of the Institutional traders for indexes and stocks
$) it has options to add Max Pain levles manually by the user
Educational
OS Smart Money Concepts 3.0This paid indicator is based on the most important concept which is know Price Action AKA Smart Money Concepts.
In this indicator price action is the key.
It also has additional indicator example VWAP.
There are a few more as well.
There are certain rule that needs to followed before placing trades.
This can be used in 5 min timeframe & 15 mins as well for intraday trading.
It also shows overall trend as well.
To get Access to this paid version you can email on ostradesmumbai@gmail.com for more info.
Highlight > 0.5% Moves// ------ 1 ------ //
// threshold = input(0.3, title = "threshold%")
// //threshold = 0.3
// pctChange = ((close - open) / open) * 100
// //Define the condition (More than 0.5%)
// isBigMove = pctChange > threshold
// bgcolor(isBigMove ? color.new(color.green, 90) : na)
// barcolor(isBigMove ? color.new(color.green, 60) : na)
// plotshape(isBigMove, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
EURCHF Pro: 1H Trend + Prob + Sessions + Timer + SwingsEURCHF – Table Explanation (Calm & Precision)
EURCHF is a slow and controlled pair.
The table focuses on patience and precision.
🔹 Market Trend (1H)
If the trend is not clear → no trade
EURCHF dislikes choppy markets
👉 The table helps you stay out of bad conditions.
🔹 Session
Best time:
London session only
👉 LOW session = stay out.
🔹 Candle Time Left
Less critical than other pairs.
Still useful for final confirmation
👉 No need to rush.
🔹 Buy / Sell Probability
Best results at 60%+
Fewer trades, higher quality
👉 One clean trade is better than many weak ones.
🔹 RSI / Volume
RSI moves slowly
Weak volume = low continuation
🟢 Result:
A precision-focused table for patient traders.
GBPJPY Pro: 1H Trend + Prob + Sessions + Timer + Swings📊 GBPJPY – Table Explanation (High Volatility Control)
GBPJPY is fast and volatile.
The table is designed to protect you before profit.
🔹 Market Trend (1H)
The most important field for this pair.
Trading against the trend is very risky
👉 Always follow the 1H trend.
🔹 Session
Best trading times:
London
London–New York Overlap
👉 Avoid trading outside these sessions.
🔹 Candle Time Left
Extremely important for GBPJPY.
Entering before candle close can be dangerous
👉 Always wait for confirmation.
🔹 Buy / Sell Probability
50%+ can be acceptable due to strong moves
“READY” status is more important than the number
👉 Quality over quantity.
🔹 RSI / Volume
RSI moves fast
Strong volume often precedes sharp moves
⚠️ Result:
A defensive table that helps avoid late or emotional entries.
USDJPY Pro: 1H Trend + Prob + Sessions + Timer + Swings
📊 USDJPY – Table Explanation (Balanced & Clean)
USDJPY is a well-balanced pair with smooth trends.
The table helps you enter calmly and precisely.
🔹 Market Trend (1H)
Shows the main direction from the 1-Hour timeframe.
BULL → Look for BUY only
BEAR → Look for SELL only
👉 USDJPY respects trend direction very well.
🔹 Session
Displays the current trading session.
London & New York = best volatility
LOW = slow market
👉 Helps you avoid trading during dead hours.
🔹 Candle Time Left
Shows how much time remains before the candle closes.
👉 Very useful for waiting for candle confirmation on USDJPY.
🔹 Buy / Sell Probability
Shows the strength of BUY or SELL setups in %.
55%+ is usually sufficient for this pair
👉 Helps avoid weak or early entries.
🔹 RSI / Volume
Confirms momentum and activity.
Strong volume = better follow-through
✅ Result:
A clean table designed for disciplined, trend-based trading.
BTC EMA21/EMA9 + RSI Filters + VWAP Strategy (100% TP)BUY when:
• EMA21 crosses above EMA9
• RSI between 45 and 55
• Price above VWAP
• Invest exactly USDT 100
SELL when:
• Profit reaches 100% of investment (USDT 100 profit), OR
• EMA21 crosses below EMA9
• Price below VWAP
• RSI below 55
Multi Confluence Trading System by MKRPShort Description
A highly configurable multi-indicator confluence system that combines momentum, trend, volatility, and price-structure signals into clear Buy/Sell indications.
________________________________________
📖 Full Description
MKRP – Multi-Confluence Indicator is designed for traders who prefer confirmation-based trading instead of relying on a single indicator.
This script brings together multiple popular technical indicators and allows users to enable, disable, and combine them dynamically to generate high-confidence Buy and Sell signals.
Rather than enforcing one rigid strategy, MKRP lets the trader choose the trading style that best fits their market and timeframe.
________________________________________
🔀 Available Strategy Modes
🔹 Individual or Combined
Uses a confluence scoring system.
Each enabled indicator contributes one confirmation.
A Buy or Sell signal is generated when the required number of confirmations is met.
🔹 SMM
A momentum-based approach using:
• Stochastic direction
• RSI slope
• MACD slope
• EMA alignment
Best suited for trend continuation entries.
🔹 SMM + Swing
Designed for pullbacks and swing entries, combining:
• Momentum indicators
• Bollinger Band interaction
• RSI level shifts
🔹 SMM + Momentum
Focused on strong breakouts, requiring:
• Momentum expansion
• Volatility expansion
• Trend strength via ADX
🔹 EMA Crossovers
A pure EMA cluster crossover system, where multiple EMA pairs can be selected and confirmed within recent candles.
________________________________________
🧠 Indicators Used
Depending on user selection, the script may use:
• RSI (30/70 logic)
• MACD crossover
• Stochastic momentum
• ADX with +DI / −DI
• Parabolic SAR
• Bollinger Bands
• Fibonacci retracement zones
• Pivot levels
• Support & Resistance
• EMA crossovers (5 to 100)
Each indicator can be independently enabled or disabled.
________________________________________
🎯 Signal Logic Philosophy
• Signals are generated only after bar close
• No repainting of historical signals
• Designed to filter noise using confluence
• Works on any timeframe and instrument, based on user tuning
________________________________________
🛑 Stop-Loss Visualization
The indicator automatically plots reference stop-loss levels based on Bollinger Band structure and recent price movement.
These stop-loss levels are visual guides only and should be adjusted according to the trader’s own risk management rules.
________________________________________
⚠️ Important Notes for Users
• Divergence detection is basic and candle-comparison based, intended as a supporting confirmation, not a standalone divergence system.
• Pip / price movement calculations are generic and meant for visual guidance, not instrument-specific precision.
• This is an indicator, not an automated strategy.
• Always confirm signals with:
o Higher-timeframe trend
o Market structure
o Proper position sizing
________________________________________
📊 Best Suited For
• Intraday trading
• Swing trading
• Trend continuation setups
• Momentum breakouts
• EMA-based trend confirmation
________________________________________
⚖️ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not guarantee profits and should not be used as the sole basis for trading decisions.
OIL (WTI) Pro: 1H Trend + Prob + Sessions + Candle TimerIndicator Features
📈 Multi-Timeframe Trend Detection (1H)
Identifies the main market trend from the 1-Hour timeframe
Displays the trend clearly as Bullish / Bearish / Sideways
Avoids trading against the higher-timeframe direction
🎯 Smart BUY & SELL Signals (On Candles)
Clear BUY and SELL signals directly on the candles
Signals are placed below lows (BUY) and above highs (SELL)
Uses ATR offset so signals are always visible and never hidden inside candles
📊 Separate Buy & Sell Probability
Calculates BUY Probability and SELL Probability independently
Probabilities are shown as percentages
Helps traders decide when to enter and when to wait
🧠 Pullback-Based Logic (No Chasing Price)
Signals are generated only after healthy pullbacks
Prevents entering trades when price is overextended
Displays a “Wait for Pullback” warning during strong trend extensions
Advanced SMC Market Structure with Triple HTF FVGs & Term PivotsFull-featured Smart Money Concepts indicator including:
Major / Minor Break of Structure (BOS) and Change of Character (CHOCH)
Current TF Fair Value Gaps with 50% level option
Three independent higher-timeframe FVGs (user-selectable: 15m–1M)
Per-timeframe extension length control
HTF FVG source timeframe displayed directly on boxes
Short-term (ST) and Intermediate-term (IT) pivot labeling
Optimized object handling to stay within TradingView limits
Perfect for traders following institutional order flow, liquidity grabs, and multi-timeframe confirmation
Order block Detector (BlockEdge Academy)This is a premium institutional order block detector designed specifically for Smart Money Concepts (SMC) and Price Action traders. Unlike standard indicators, this tool focuses on External Market Structure to identify high-probability supply and demand zones.
Key Features
1. Unmitigated Zones Only: The indicator automatically identifies fresh order blocks that haven't been touched by price yet.
2. Auto-Extension Logic: Zones will dynamically extend to the right until they are mitigated (touched) by price.
3. External Structure Focus: Uses swing-point detection to filter out minor market noise, providing cleaner institutional levels.
4. Optimized for 15m Timeframe: Perfectly tuned for intraday and swing traders looking for precision entries.
How to use
1. Identify the Zone: Wait for the indicator to plot a Bullish (Green) or Bearish (Red) box.
2. The Mitigation: Look for price to return to these "Unmitigated" zones.
3. Execution: se these levels as high-confluence areas for entries, targeting the next external liquidity point.
Created by BlockEdge Academy.
Reversal Trend by S B PrasadReversal Trend by S B Prasad (Reversal Pro v3.0)
📝 TradingView Publish Description
Reversal Trend by S B Prasad – Reversal Pro v3.0 is a high-precision, non-repainting reversal detection system designed to identify major market turning points in real time.
This indicator combines:
Adaptive ZigZag logic
ATR + Percentage-based volatility filtering
EMA trend structure
Optional early preview signals
to deliver reliable bullish and bearish reversal signals across all markets and timeframes.
🚀 Key Features
✅ 1. Non-Repainting Confirmed Reversals
Confirmed reversal signals are generated only after price has moved beyond a dynamic volatility-adjusted threshold.
Once plotted, these signals never repaint.
🔍 2. Adaptive Volatility Threshold
Reversal detection automatically adjusts to market conditions using:
ATR (Average True Range)
Percentage price movement
Absolute minimum reversal distance
This ensures:
Fewer false signals in choppy markets
Faster detection in trending markets
⚙️ 3. Sensitivity Presets + Custom Mode
Choose from built-in presets:
Very High
High
Medium
Low
Very Low
Or use Custom Mode to fine-tune:
ATR Multiplier
Percentage Reversal
Absolute Reversal
ATR Length
📈 4. EMA Trend Filter
Integrated triple-EMA structure (9 / 14 / 21):
Identifies bullish, bearish, and neutral trend states
Helps align reversals with dominant trend direction
Reduces counter-trend false signals
👀 5. Preview Mode (Early Reversal Detection)
Optional preview signals highlight potential upcoming reversals before full confirmation.
Signal Modes:
Confirmed Only
Confirmed + Preview
Preview Only
⚠️ Preview signals are exploratory and may disappear if price invalidates the reversal.
🧠 6. Smart Signal State Engine
Maintains a clean bullish / bearish reversal state:
Bullish reversal → trend flips upward
Bearish reversal → trend flips downward
Automatically resets when structure is invalidated
🔔 7. Built-in Alerts
Alerts available for:
Bullish Reversal
Bearish Reversal
Any Reversal
EMA Buy Signal
EMA Sell Signal
📌 How to Use
▶️ Trend-Following Strategy
Wait for EMA trend alignment
Enter on a confirmed reversal in trend direction
Use recent swing high/low for stop-loss
Trail profits using higher-low / lower-high structure
🔄 Counter-Trend Reversal Strategy
Use higher sensitivity
Look for strong extended moves
Enter on confirmed reversal
Exit at next EMA cross or opposite reversal
⚙️ Recommended Settings
Style Sensitivity Confirmation Bars
Scalping High 0–1
Intraday Medium 0–2
Swing Low 1–3
📎 Best Markets
Crypto
Forex
Indices
Stocks
Commodities
Works on all timeframes (1m → 1D+).
MTF CPRThe Central Pivot Range (CPR) is a technical indicator used to identify key price levels, trend direction, and market volatility.
This script provides a comprehensive MTF CPR engine that tracks Daily, Weekly, and Monthly levels simultaneously. It identifies "Fair Value" through the Central Pivot Range, allowing traders to maintain a clear structural bias across multiple timeframes without switching charts.
Unlike fixed-ratio pivots, these Standard Deviations are projected based on the internal width of each specific CPR. This dynamic calculation ensures that volatility targets (SD levels) are relative to the market's current compression or expansion, providing more accurate exhaustion points.
The indicator offers total control over every timeframe independently. Users can customize the number of SD levels, the specific step-multiplier for each timeframe, and all visual properties including line width, color, and style to ensure maximum chart clarity.
Use it with VWAP for additional confluence.
Predictive Candle and Accuracy CoreThis Predictive Candle – Accuracy Core indicator is designed to project the likely direction and size of the next candle based on market microstructure, volatility, momentum, and volume dynamics. It calculates a delta-based volume imbalance, RSI, EMA distances, ATR, and ADX to assess both the strength and trend of the market. The script applies a market regime filter to allow predictions only when trends are strong and aligned, then computes weighted bullish and bearish scores, normalizes them into probabilities, and self-measures its historical accuracy. Using this, it projects the next candle’s body and wicks, color-coded green or red for bullish or bearish, with a confidence percentage label. The projection adjusts dynamically for volatility, ADX strength, and prediction accuracy, providing traders with a quantitative, adaptive visual cue for potential price movement without repainting.
GeniusInvest Engulfing CandlesThe Engulfing Candles Indicator is a precision price-action tool designed to highlight true bullish and bearish engulfing patterns directly on the chart — without clutter, repainting, or lag.
This indicator automatically detects engulfing candles based on strict candle-body logic, making it ideal for traders who rely on raw price action, market structure, and clean confirmations.
• Bullish Engulfing Candles
• Current bullish candle fully engulfs the body of the previous bearish candle
• Indicates potential upside momentum or reversal
• Bearish Engulfing Candles
• Current bearish candle fully engulfs the body of the previous bullish candle
• Indicates potential downside momentum or reversal
This indicator does not guarantee profits and should not be used as a standalone trading system.
Always use proper risk management, stop losses, and confluence with market structure.
Core Of My Desire {xqweasdzxcv}
Creator's Notes
Developer: xqweasdzxcv or x²
Current Version: 2.8.3.4
Telegram: t.me
For access requests:
If anyone wants access to this indicator, then DM me
Core Of My Desire - Trading Indicator Documentation
Overview
Core Of My Desire is a comprehensive trading indicator system engineered for advanced technical analysis across all markets and timeframes, with no dependency on a single asset class, trading style, or market condition. Developed by xqweasdzxcv (x²), the indicator is designed as a unified analytical framework rather than a collection of disconnected tools. It combines multiple analytical methodologies into a single, coherent system, allowing traders to evaluate price action through structure, trend, volume, momentum, and contextual market behavior simultaneously.
The system integrates market structure analysis to identify continuation and reversal phases, trend logic to establish directional bias, volume-based sentiment to validate participation, and momentum dynamics to detect acceleration or exhaustion. Supply and demand principles are incorporated to highlight areas of historical imbalance and potential reaction, while adaptive signal generation adjusts responsiveness based on changing market conditions rather than static rules. Sensitivity-based logic allows the indicator to scale between faster, more reactive behavior and slower, confirmation-driven behavior, depending on user calibration.
Risk management is not treated as an external concept but is embedded directly into the indicator’s design. Dynamic support and resistance references, projected take-profit structures, re-entry logic, and exhaustion detection are provided to assist with trade planning, position management, and exit decision-making. Signals are designed to function as informational guidance within a broader discretionary process, emphasizing confluence and context over isolated triggers.
Core Of My Desire is intended for disciplined traders who understand that no indicator can predict the market. Its purpose is to organize complex market information into a readable, adaptive framework that supports structured analysis, informed execution, and consistent decision-making across varying market environments.
Core Philosophy
This indicator provides confluence from multiple analytical perspectives, creating a comprehensive framework for market analysis that goes beyond single-dimensional approaches. By synthesizing various technical methodologies into a unified system, it enables traders to identify high-probability setups where multiple analytical paradigms align.
The fundamental principle underlying this multi-perspective approach is that when different analytical methods—each operating on distinct mathematical foundations and timeframe sensitivities—simultaneously signal the same directional bias, the probability of a successful trade increases substantially. This convergence of independent analytical streams creates what we call "confluence zones," areas where the market structure suggests a higher degree of consensus across multiple analytical dimensions.
Rather than relying on a single indicator family or methodology, this system integrates momentum analysis, trend identification, volatility assessment, and price action structure. Each component contributes unique insights: momentum oscillators reveal the strength and sustainability of price movements, trend filters identify the dominant directional bias across multiple timeframes, volatility metrics help gauge market conditions and position sizing requirements, and structural analysis pinpoints key support and resistance zones where price is likely to react.
The synergy between these elements creates a robust analytical framework that adapts to changing market conditions. In trending markets, the trend components provide directional guidance while momentum indicators time entries and exits. During ranging conditions, mean-reversion signals from oscillators take precedence while structural levels define boundaries. Volatility analysis continuously informs risk management parameters, ensuring that position sizing and stop placement remain appropriate for current market dynamics.
This holistic approach reduces false signals that often plague single-indicator systems, as a trade setup requires validation from multiple independent sources before execution. The result is a more selective but higher-quality signal generation process that aligns with professional trading principles of patience, discipline, and risk management.
This indicator provides confluence from multiple analytical perspectives:
• Market structure defines context
• Trend determines directional bias
• Volume confirms participation
• Momentum identifies continuation or exhaustion
• Supply and demand highlight reaction zones
• Risk management governs execution
No single component is intended to be used in isolation.
Key Features
Adaptive Signal Generation
• Primary Buy and Sell signals with adjustable sensitivity
• Optional Trend Cloud filter for directional confirmation
• Configurable confirmation latency
• Strength-based labeling for signal quality
Market Structure Analysis
• Swing and Internal structure tracking
• Dynamic and Manual analysis modes
• BOS, CHoCH, and CHoCH+ detection
• Equal Highs and Lows identification
• Structural labeling (HH, HL, LH, LL)
Multi-Timeframe Dashboard
• Volume sentiment across 8 timeframes (1m to Daily)
• Market state detection (Trending or Ranging)
• Volatility awareness
• Active position tracking
• Trading session identification:
• Sydney
• Tokyo
• London
• New York
Supply and Demand Zones
• Preset configurations:
• Standard
• Majors
• Nearest
• Custom
• Automatic validation on price interaction
• Visual feedback based on zone strength
• Progressive fading of invalidated zones
• Automatic cleanup for chart performance
Risk Management System
• Dynamic Support and Resistance bands
• Three Take-Profit levels with configurable ratios
• Peak Profit alerts for position management
• Three-tier Re-Entry signals
• Reversal detection near key price areas
Technical Analysis Suite
• Nine moving average types
• Zero-Lag EMA
• Fibonacci retracement levels
• Fair Value Gaps (FVG)
• Multi-timeframe Support and Resistance
• Trendline breakout detection
• Structure breakout confirmation
• Divergence-based tactical signals
• Momentum fluctuation detection
Visual Customization
• Multiple candle coloring modes
• Adaptive bands with overbought and oversold markers
• Trend Cloud visualization
• Optional background coloring
• Fully customizable color themes
Signal Classification
Primary Entry Signals
• BUY and SELL labels
• Strength tiers:
• Buy
• Strong Buy
• Very Strong Buy
• Optional Trend Cloud confirmation
• Intended for core trade entries
Directional Bias Signals
• Up Trend and Down Trend indicators
• Macro trend context
• Adjustable sensitivity (0.1–20.0)
• Optional Heikin Ashi smoothing
Reversal Signals
• Three intensity levels
• Exhaustion and exit indications
• Counter-trend opportunity identification
Peak Profit Signals
• Extreme condition alerts
• Trade-aware and position-specific
• Designed to protect unrealized gains
• Frequently precede reversals
Re-Entry Signals
• Small arrow markers
• Three progressive entry levels
• Pullback-based continuation entries
• Displayed only during active trades
Structure Breakout Signals
• Triangle markers
• Body-close confirmation logic
• Adjustable lookback period (5–50)
• Used to confirm decisive breaks
Tactical Signals
• Divergence-based arrows
• Contrarian in nature
• Higher risk, higher reward profile
Fluctuation Signals
• Momentum-based arrows
• Volume or Volatility modes
• Rapid shift detection
• Best suited for scalping conditions
Settings Guide
Sensitivity
• Default: 4.5
• Range: 0.1–20.0
Behavior:
• Lower values produce faster signals with increased noise
• Higher values reduce signal frequency but improve confirmation
Adjustment guidelines:
• Excessive false signals → Increase sensitivity
• Missed opportunities → Decrease sensitivity
Trend Cloud Filter
• Multiplier: 4.3
• ATR Length: 27
• Confirmation latency: 2–20 bars (default 5)
Purpose:
• Enforces trend alignment
• Reduces counter-trend signals
• Introduces intentional confirmation delay
Supply and Demand Presets
• Standard: Balanced, suitable for most use cases
• Majors: Key levels only, ideal for higher timeframes
• Nearest: Recent price focus, optimal for scalping
• Custom: Full user-defined control
Risk Management (Take-Profit Structure)
• TP1: Fixed at 1:1
• TP2 Multiplier: 0.5 (default)
• TP3 Multiplier: 1.5 (default)
Common configurations:
• Conservative: 0.5 / 1.0
• Balanced: 1.0 / 2.0
• Aggressive: 1.5 / 3.0
Performance Notes
• High computational complexity
• Optimized for 1m–4H timeframes
• No repainting on closed candles
• Certain signals intentionally wait for confirmation
Final Thoughts
Core Of My Desire is a professional-grade analytical framework that requires understanding and practice. It's not a "magic button" - it's a sophisticated toolset for serious traders.
Your success depends on:
Proper calibration for your specific market
Understanding what each signal represents
Having a solid trading plan
Disciplined risk management
Continuous learning and adaptation
Legal Disclaimer
Educational and informational purposes only. Trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results.
You acknowledge:
You trade at your own risk
No profitability guarantees
Never risk more than you can afford to lose
Risk management is your responsibility
This is a tool, not financial advice
Volume + ATR Robust Z-Score Suite (MAD)Measure relevant volumes together with high-volatility candles, providing initiative signals based on volume. Mark the relevant candle and use it as support or resistance.
cephxs / New X Opening Gaps [Pro +]NWOG & NDOG - OPENING GAPS
Smart Gap Detection with Intelligent Filtering
Visualizes New Week Opening Gaps (NWOGs) and New Day Opening Gaps (NDOGs) with built-in intelligence to show you only what matters. No more cluttered charts with gaps from 3 months ago that price will never revisit.
THE PROBLEM WITH GAP INDICATORS
Most gap indicators dump every single gap on your chart and call it a day. You end up with 50 boxes cluttering your screen, half of which are miles away from current price and the other half are so tiny they're basically noise.
This one's different and I explain why below.
SMART FILTERING (THE GOOD STUFF)
Two filters work together to keep your chart clean:
Size Filter: Uses ATR-based detection to filter out insignificant gaps, dynamic with less volatile time periods
- Filter None: Show everything (if you really want chaos)
- Filter Insignificant: Hide the micro-gaps that don't matter
- Juicy Gaps Only: Only show gaps worth paying attention to
Distance Filter: Only displays gaps within range of current price
- Really Close: 0.5 ATR - tight focus on immediate levels
- Balanced: 1 ATR - sweet spot for most traders
- Slightly Far: 3 ATR - wider view for swing traders
Cleanup Interval: Controls how quickly out-of-range gaps disappear
- Immediately: Gaps hide/show every bar as price moves
- 5 / 15 / 30 Minutes: Gaps only update visibility at interval boundaries - reduces visual noise during choppy price action
The magic: gaps appear and disappear as price moves toward or away from them. Old gaps that price has left behind fade out, and gaps that become relevant fade back in. Use delayed cleanup intervals if you want gaps to "stick around" a bit longer before disappearing.
GAP TYPES EXPLAINED
New Week Opening Gaps (NWOGs):
The gap between Friday's close and Monday's open. These form over the weekend when markets are closed and often act as significant support/resistance.
Two classifications:
Void Gaps: Gap direction aligns with Friday's candle direction (continuation)
Overlap Gaps: Gap direction conflicts with Friday's candle (potential reversal)
New Day Opening Gaps (NDOGs):
The gap between one day's close and the next day's open. Smaller but frequent - useful for intraday traders looking for fill targets.
FEATURES
Automatic Week/Day Detection: Handles forex (17:00 ET open) and futures (18:00 ET open) correctly
DST-Aware: Uses New York timezone with automatic daylight saving adjustments
50% Equilibrium Line: Marks the midpoint of each gap - key level for entries
Days Ago Labels: Shows how old each gap is at a glance
Extension Modes: Choose between live-extending boxes or fixed-width boxes
Separate Color Schemes: Different colors for void vs overlap NWOGs, bullish vs bearish NDOGs
INPUTS
NWOG Display
Show NWOGs: Master toggle
Extension Mode: "Extend Live" or "Extend to Week Close"
Maximum NWOGs: Limit displayed gaps (1-50)
Show Void/Overlap Gaps: Toggle each type independently
Show NWOG Labels: Toggle gap labels
NDOG Display
Show NDOGs: Master toggle
Extension Mode: "Extend Live" or "Extend to Day Close"
Maximum NDOGs: Limit displayed gaps (1-50)
Show NDOG Labels: Toggle gap labels
Filter Settings
Size Filter: Filter None / Filter Insignificant / Juicy Gaps Only
Only Show Near Price: Enable/disable distance filtering
Distance Filter: Really Close / Balanced / Slightly Far
Cleanup Interval: Immediately / 5 Minutes / 15 Minutes / 30 Minutes - controls how often gaps update visibility
ATR Period: Period for ATR calculation (default: 14)
Right Edge Offset: How many bars ahead boxes extend
Styling
Box Transparency: Fill and border opacity
Midline Style: Solid / Dotted / Dashed
Label Style: Simple ("NWOG, 5d ago") or Descriptive ("NWOG (Void Bull), 5d ago")
Label Size: Tiny / Small / Normal / Large
RECOMMENDED SETTINGS
For intraday (1m-15m):
Size Filter: Filter Insignificant
Distance Filter: Really Close or Balanced
Show NDOGs: On
Maximum NDOGs: 5-10
For swing trading (1H-4H):
Size Filter: Juicy Gaps Only
Distance Filter: Balanced or Slightly Far
Show NWOGs: On
Maximum NWOGs: 10-20
TIMEFRAME NOTES
Works on daily timeframe and below. Above daily, the indicator disables itself since NWOG/NDOG gap detection requires daily open/close data.
ASSET SUPPORT
Automatically handles different market open times:
Forex: Week opens Sunday 17:00 ET, closes Friday 17:00 ET
Futures: Week opens Sunday 18:00 ET, closes Friday 16:15 ET
Stocks/Other: Uses session-based detection
FAQ
Why do gaps appear and disappear?
That's the distance filter working. As price moves, gaps that were far away become relevant and appear. Gaps that price leaves behind disappear. This keeps your chart focused on actionable levels.
What's the difference between void and overlap gaps?
Void gaps continue Friday's direction (trend continuation). Overlap gaps conflict with Friday's direction (potential reversal setup). Different traders prefer different types.
Why can't I see any gaps?
Check your filter settings. "Juicy Gaps Only" with "Really Close" distance filter is very selective. Try "Filter Insignificant" with "Balanced" for more gaps.
DISCLAIMER
This indicator is for educational purposes only. Opening gaps are one tool among many - they don't guarantee fills or reversals. Always use proper risk management and never trade based on a single indicator. Past gap fills don't guarantee future performance. Do your own analysis.
CHANGELOG
Pro +: Added smart size/distance filtering, void/overlap classification, NDOG support, DST-aware timezone handling
Base: Initial NWOG visualization
Made with ❤️ by fstarlabs
Asset Drift ModelThis Asset Drift Model is a statistical tool designed to detect whether an asset exhibits a systematic directional tendency in its historical returns. Unlike traditional momentum indicators that react to price movements, this indicator performs a formal hypothesis test to determine if the observed drift is statistically significant, economically meaningful, and structurally stable across time. The result is a classification that helps traders understand whether historical evidence supports a directional bias in the asset.
The core question the indicator answers is simple: Has this asset shown a reliable tendency to move in one direction over the past three years, and is that tendency strong enough to matter?
What is drift and why does it matter
In financial economics, drift refers to the expected rate of return of an asset over time. The concept originates from the geometric Brownian motion model, which describes asset prices as following a random walk with an added drift component (Black and Scholes, 1973). If drift is zero, price movements are purely random. If drift is positive, the asset tends to appreciate over time. If negative, it tends to depreciate.
The existence of drift has profound implications for trading strategy. Eugene Fama's Efficient Market Hypothesis (Fama, 1970) suggests that in efficient markets, risk-adjusted drift should be minimal because prices already reflect all available information. However, decades of empirical research have documented persistent anomalies. Jegadeesh and Titman (1993) demonstrated that stocks with positive past returns continue to outperform, a phenomenon known as momentum. DeBondt and Thaler (1985) found evidence of long-term mean reversion. These findings suggest that drift is not constant and can vary across assets and time periods.
For practitioners, understanding drift is fundamental. A positive drift implies that long positions have a statistical edge over time. A negative drift suggests short positions may be advantageous. No detectable drift means the asset behaves more like a random walk, where directional strategies have no inherent advantage.
How professionals use drift analysis
Institutional investors and hedge funds have long incorporated drift analysis into their systematic strategies. Quantitative funds typically estimate drift as part of their alpha generation process, using it to tilt portfolios toward assets with favorable expected returns (Grinold and Kahn, 2000).
The challenge lies not in calculating drift but in determining whether observed drift is genuine or merely statistical noise. A naive approach might conclude that any positive average return indicates positive drift. However, financial returns are noisy, and short samples can produce misleading estimates. This is why professional quants rely on formal statistical inference.
The standard approach involves testing the null hypothesis that expected returns equal zero against the alternative that they differ from zero. The test statistic is typically a t-ratio: the sample mean divided by its standard error. However, financial returns often exhibit serial correlation and heteroskedasticity, which invalidate simple standard errors. To address this, practitioners use heteroskedasticity and autocorrelation consistent standard errors, commonly known as HAC or Newey-West standard errors (Newey and West, 1987).
Beyond statistical significance, professional investors also consider economic significance. A statistically significant drift of 0.5 percent annually may not justify trading costs. Conversely, a large drift that fails to reach statistical significance due to high volatility may still inform portfolio construction. The most robust conclusions require both statistical and economic thresholds to be met.
Methodology
The Asset Drift Model implements a rigorous inference framework designed to minimize false positives while detecting genuine drift.
Return calculation
The indicator uses logarithmic returns over non-overlapping 60-day periods. Non-overlapping returns are essential because overlapping returns introduce artificial autocorrelation that biases variance estimates (Richardson and Stock, 1989). Using 60-day horizons rather than daily returns reduces noise and captures medium-term drift relevant for position traders.
The sample window spans 756 trading days, approximately three years of data. This provides 12 independent observations for the full sample and 6 observations per half-sample for structural stability testing.
Statistical inference
The indicator calculates the t-statistic for the null hypothesis that mean returns equal zero. To account for potential residual autocorrelation, it applies a simplified HAC correction with one lag, appropriate for non-overlapping returns where autocorrelation is minimal by construction.
Statistical significance requires the absolute t-statistic to exceed 2.0, corresponding to approximately 95 percent confidence. This threshold follows conventional practice in financial econometrics (Campbell, Lo, and MacKinlay, 1997).
Power analysis
A critical but often overlooked aspect of hypothesis testing is statistical power: the probability of detecting drift when it exists. With small samples, even substantial drift may fail to reach significance due to high standard errors. The indicator calculates the minimum detectable effect at 95 percent confidence and requires observed drift to exceed this threshold. This prevents classifying assets as having no drift when the test simply lacks power to detect it.
Robustness checks
The indicator applies multiple robustness checks before classifying drift as genuine.
First, the sign test examines whether the proportion of positive returns differs significantly from 50 percent. This non-parametric test is robust to distributional assumptions and verifies that the mean is not driven by outliers.
Second, mean-median agreement ensures that the mean and median returns share the same sign. Divergence indicates skewness that could distort inference.
Third, structural stability splits the sample into two halves and requires consistent signs of both means and t-statistics across sub-periods. This addresses the concern that drift may be an artifact of a specific regime rather than a persistent characteristic (Andrews, 1993).
Fourth, the variance ratio test detects mean-reverting behavior. Lo and MacKinlay (1988) showed that if returns follow a random walk, the variance of multi-period returns should scale linearly with the horizon. A variance ratio significantly below one indicates mean reversion, which contradicts persistent drift. The indicator blocks drift classification when significant mean reversion is detected.
Classification system
Based on these tests, the indicator classifies assets into three categories.
Strong evidence indicates that all criteria are met: statistical significance, economic significance (at least 3 percent annualized drift), adequate power, and all robustness checks pass. This classification suggests the asset has exhibited reliable directional tendency that is both statistically robust and economically meaningful.
Weak evidence indicates statistical significance without economic significance. The drift is detectable but small, typically below 3 percent annually. Such assets may still have directional tendency but the magnitude may not justify concentrated positioning.
No evidence indicates insufficient statistical support for drift. This does not prove the asset is driftless; it means the available data cannot distinguish drift from random variation. The indicator provides the specific reason for rejection, such as failed power analysis, inconsistent sub-samples, or detected mean reversion.
Dashboard explanation
The dashboard displays all relevant statistics for transparency.
Classification shows the current drift assessment: Positive Drift, Negative Drift, Positive (weak), Negative (weak), or No Drift.
Evidence indicates the strength of evidence: Strong, Weak, or None, with the specific reason for rejection if applicable.
Inference shows whether the sample is sufficient for analysis. Blocked indicates fewer than 10 observations. Heuristic indicates 10 to 19 observations, where asymptotic approximations are less reliable. Allowed indicates 20 or more observations with reliable inference.
The t-statistics for full sample and both half-samples show the test statistics and sample sizes. Double asterisks denote significance at the 5 percent level.
Power displays OK if observed drift exceeds the minimum detectable effect, or shows the MDE threshold if power is insufficient.
Sign Test shows the z-statistic for the proportion test. An asterisk indicates significance at 10 percent.
Mean equals Median indicates agreement between central tendency measures.
Struct(m) shows structural stability of means across half-samples, including the standardized level deviation.
Struct(t) shows whether t-statistics have consistent signs across half-samples.
VR Test shows the variance ratio and its z-statistic. An asterisk indicates the ratio differs significantly from one.
Econ. Sig. indicates whether drift exceeds the 3 percent annual threshold.
Drift (ann.) shows the annualized drift estimate.
Regime indicates whether the asset exhibits mean-reverting behavior based on the variance ratio test.
Practical applications for traders
For discretionary traders, the indicator provides a quantitative foundation for directional bias decisions. Rather than relying on intuition or simple price trends, traders can assess whether historical evidence supports their directional thesis.
For systematic traders, the indicator can serve as a regime filter. Trend-following strategies may perform better on assets with detectable positive drift, while mean-reversion strategies may suit assets where drift is absent or the variance ratio indicates mean reversion.
For portfolio construction, drift analysis helps identify assets where long-only exposure has historical justification versus assets requiring more balanced or tactical positioning.
Limitations
This indicator performs retrospective analysis and does not predict future returns. Past drift does not guarantee future drift. Markets evolve, regimes change, and historical patterns may not persist.
The three-year sample window captures medium-term tendencies but may miss shorter regime changes or longer structural shifts. The 60-day return horizon suits position traders but may not reflect intraday or weekly dynamics.
Small samples yield heuristic rather than statistically robust results. The indicator flags such cases but users should interpret them with appropriate caution.
References
Andrews, D.W.K. (1993) Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4).
Black, F. and Scholes, M. (1973) The pricing of options and corporate liabilities. Journal of Political Economy, 81(3).
Campbell, J.Y., Lo, A.W. and MacKinlay, A.C. (1997) The econometrics of financial markets. Princeton: Princeton University Press.
DeBondt, W.F.M. and Thaler, R. (1985) Does the stock market overreact? Journal of Finance, 40(3).
Fama, E.F. (1970) Efficient capital markets: a review of theory and empirical work. Journal of Finance, 25(2).
Grinold, R.C. and Kahn, R.N. (2000) Active portfolio management. 2nd ed. New York: McGraw-Hill.
Jegadeesh, N. and Titman, S. (1993) Returns to buying winners and selling losers. Journal of Finance, 48(1).
Lo, A.W. and MacKinlay, A.C. (1988) Stock market prices do not follow random walks. Review of Financial Studies, 1(1).
Newey, W.K. and West, K.D. (1987) A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3).
Richardson, M. and Stock, J.H. (1989) Drawing inferences from statistics based on multiyear asset returns. Journal of Financial Economics, 25(2).
ANTS MVP Indicator David Ryan's Institutional Accumulation🚀 ANTS MVP Indicator – David Ryan's Legendary Accumulation Signal
Discover stocks under heavy **institutional buying** before they explode — just like 3-time U.S. Investing Champion David Ryan used to crush the markets!
This is a faithful, open-source recreation of the famous **ANTS (Momentum-Volume-Price)** pattern popularized by David Ryan (protégé of William O'Neil / IBD / CAN SLIM fame). It scans for the classic 15-day "MVP" setup that often appears in early stages of massive winners.
Key Features:
• Colored "Ants" diamonds show signal strength:
- Gray: Momentum only (12+ up days in 15)
- Yellow: Momentum + Volume surge (≥20% avg volume increase)
- Blue: Momentum + Price gain (≥20% rise)
- Green: FULL MVP (all three!) – the strongest institutional demand signal!
• Toggle to show ONLY green ants for cleaner charts
• Position ants above or below bars
• Built-in alert for NEW green ants (copy the alert condition or use alert() triggers)
• Optional background highlight + label on the last bar for quick spotting
Why ANTS Works:
- Flags consistent up-days + volume explosion + solid price advance
- Often clusters before major breakouts (cup-with-handle, flat bases, etc.)
- Used by pros to find leaders early (think NVDA, TSLA, CELH runs)
- Great for daily charts + combining with RS Rating, earnings growth, and market uptrends
How to Use:
1. Add to daily stock charts
2. Watch for GREEN ants (full MVP) in bases or near pivots
3. Wait for volume breakout above resistance for entry
4. Set alerts for "GREEN ANTS MVP detected!" to catch them live
Fully open code – feel free to tweak thresholds (lookback, % gains, etc.)!
Inspired by public descriptions from IBD, Deepvue, and Ryan's teachings.
If this helps you spot winners, drop a ❤️ like, comment your biggest ANTS catch, and follow for more CAN SLIM-style tools!
Questions? Want screener tweaks or strategy version? Comment below!
#ANTS #DavidRyan #MVPPattern #InstitutionalAccumulation #CANSLIM #TradingView #MomentumTrading #StockScanner The time it takes for a stock to rise significantly after a green ANTS (full MVP) signal appears varies widely — there is no fixed or guaranteed timeframe. The ANTS indicator (developed by David Ryan) flags strong institutional accumulation over a rolling ~3-week (15-day) period, but the actual price breakout or major advance often comes later, after further consolidation or a proper setup.
Typical Timings from Real-World Usage and Examples
Short-term (days to weeks): Sometimes the green ants appear during or right at the start of a breakout — price can rise 10–30%+ in the following 1–4 weeks if momentum continues and volume supports it (e.g., Rocket Lab (RKLB) showed ANTS strength ahead of a powerful breakout in examples from IBD).
Medium-term (weeks to months): More commonly, green ants signal early accumulation while the stock is still building or tightening in a base (e.g., cup-with-handle, flat base, high tight flag, or pullback to 10/21 EMA). The big move (often 50–200%+) happens after the stock forms a proper buy point (pivot breakout on high volume), which can take 2–12 weeks after the first green ants.
Longer-term leaders: In historical CAN SLIM winners, ANTS often appeared during the stealth accumulation phase (before the stock became obvious), with the major multi-month/year run starting 1–6 months later once the market confirmed an uptrend and the stock broke out.
Key points from David Ryan/IBD sources:
ANTS is a demand confirmation tool, not a precise timing signal.
Many stocks with green ants are extended when the signal fires — wait for a pullback/consolidation before expecting the next leg up.
In strong bull markets, clusters of green ants over several bars increase the odds of an imminent or near-term move.
If no breakout follows within ~1–3 months (and market weakens), the signal may fizzle — cut losses or move on.
Bottom line: Expect 0–3 months for meaningful upside in good setups, but always wait for a classic buy point (breakout above resistance on volume) rather than buying the ants alone. Backtest examples (e.g., via TradingView replay on past leaders like NVDA, TSLA, or CELH during their runs) to see the lag in action.
Emotions TagebuchEmotions Diary
This indicator is designed as a simple emotional trading journal directly on your chart.
It allows you to document:
Emotions before the trade
Emotions during the trade
Emotions after the trade
Additional notes
You can also define custom emotional tags (e.g. FOMO, Overtrading, Fear, Flow) and assign them to each phase of the trade with a single click.
Selected tags can optionally be automatically appended to the corresponding text fields.
The goal is to help you:
increase emotional awareness
identify recurring emotional patterns
improve discipline and decision-making
Fully customizable in design, position, and content.
Built for traders who want to work not only on their strategy — but on themselves.
Meine LearningsTop Learnings Panel – Stay Focused on What Matters
This tool is designed to keep your most important trading learnings, rules, and reminders permanently visible on your chart.
It helps maintain focus, reduce emotional decision-making, and reinforce consistent, rule-based execution.
Use Case
The panel is intentionally simple and ideal for:
documenting key trading learnings
displaying core trading rules or principles
mental reminders before and during a trading session
summarizing insights from journaling, reviews, or backtesting
How It Works
A freely configurable headline defines the current focus (e.g. Top Learnings, Trading Rules, Session Focus).
Up to 10 fully customizable text points can be entered.
Each point can be shown or hidden individually.
Headline and text rows can be styled independently (font size, colors, background, alignment, position).
Purpose
This panel is not an analysis tool.
It acts as a visual anchor to keep your most important rules in sight — exactly where decisions are made: on the chart.
Optimized SMC - OB & FVG MTFOB & FVG on different timeframes
Optimized version that can show HTF PDAs on LTF
