[COG] Platypus Platypus
Overview
Platypus is a volume momentum indicator that combines price action, volume analysis, and multi-timeframe confirmation to generate trade signals. Unlike traditional volume indicators, Platypus reconstructs volume momentum by factoring in price velocity, volatility adjustment, and market structure to identify true institutional momentum shifts.
The indicator features a comprehensive filtering system including EMA alignment, background state confirmation, and optional multi-timeframe filters to eliminate false signals and ensure you only trade with the strongest momentum.
Key Features
✅ Volume Momentum Calculation
Volatility-Adjusted Volume: Normalizes volume relative to recent volatility periods
Quiet Market Filtering: Reduces noise during low-activity periods
Spike Detection: Identifies abnormal volume surges with boosted weighting
Momentum Smoothing: EMA-based smoothing prevents erratic signals
✅ Entry Pattern Detection
3-Bar Pattern Requirement: RED → GREEN → GREEN for buys (opposite for sells)
State Management: Prevents consecutive signals in same direction without reset
Background Confirmation: Must align with bullish/bearish market state
EMA Alignment Filter: Ensures trend structure supports the trade direction
✅ Multi-Timeframe Filtering System
HTF Closed Bar Filter: Confirms last closed higher timeframe bar matches direction (no repaint)
HTF Momentum Filter: Requires current HTF bar to match direction (live, prevents delayed entries)
Dual-Filter Capability: Use both filters for maximum precision
✅ Dashboard
Real-time Status Monitoring: Volume trend, background state, EMA order, trade state
Filter Status Display: Shows HTF filter conditions and signal permission
Pattern Detection: Indicates when 3-bar entry pattern is forming
✅ On-Chart Integration
50/100/200 EMAs: Automatically plotted on price chart with customizable colors
Visual Entry Markers: Triangle signals appear on price chart at entry points
Signal Alerts: Built-in alert conditions for all signal types
📚 Core Settings Explained
signalPeriod = input.int(8, "Signal Period", minval=1, group="Core Settings")
Signal Period (Default: 8): Controls the smoothing of the signal line (blue line). Lower values = more responsive, higher values = smoother but slower to react.
volatilityPeriod = input.int(20, "Volatility Period", minval=1, group="Core Settings")
Volatility Period (Default: 20): Lookback period for volume and price range calculations. This period is used to normalize volume relative to recent market conditions.
priceFilterLength = input.int(200, "Price Filter MA Length", minval=1, group="Core Settings")
Price Filter MA Length (Default: 200): The SMA period used for background state determination. Price must be above this MA for bullish background, below for bearish background.
Advanced Settings
momentumMultiplier = input.float(50.0, "Momentum Multiplier", minval=20.0, maxval=80.0, step=2.0, group="Advanced")
Momentum Multiplier (Default: 50.0): Scales the final momentum score. Higher values = larger histogram bars and more sensitivity. Adjust based on your instrument's volatility.
momentumSmoothing = input.int(4, "Momentum Smoothing", minval=1, maxval=15, group="Advanced")
Momentum Smoothing (Default: 4): EMA period applied to raw momentum before normalization. Higher values reduce noise but add lag.
quietThreshold = input.float(0.3, "Quiet Market Filter", minval=0.0, maxval=1.0, step=0.05, group="Advanced")
Quiet Market Filter (Default: 0.3): During low-volume periods, this applies exponential dampening to momentum. Higher values = more aggressive filtering of weak moves.
volStrengthFactor = volRatio < (1.0 + quietThreshold) ? math.pow(volRatio, 2) : volRatio
When volume is less than average + threshold, it squares the ratio (dampening), otherwise uses linear scaling.
Corak carta
RMA vs EMA Comparison ToolIf you're looking for a quick entry point to follow a trend, it's best to look at the EMA.
If you need confirmation of a long-term trend change or are working with oscillators (like the RSI), use the RMA.
What to look for on the chart:
Reaction speed: You'll notice that the EMA (red line) adheres much more closely to the price. It reacts more quickly to sharp reversals or impulses.
Smoothness: The RMA (blue line) appears smoother and "lazier." It changes direction more slowly, which helps filter out false signals (noise), but allows for a slightly later entry into a trade.
Distance: During periods of strong trending, the RMA is usually further from the price than the EMA of the same period.
EMA20 and 10 PullbackStrategy Logic
Uses EMA 10, EMA 20, and VWAP for trend filtering
Identifies strong bullish and bearish trends
Waits for controlled pullbacks (1–3 candles) near EMA20
Triggers entries only on engulfing confirmation candles
Generates BUY signals in uptrends and SELL signals in downtrends
Key Features
Works best on NIFTY and liquid stocks
Avoids sideways markets by using EMA alignment + VWAP
Non-repainting, rule-based logic
Suitable for manual trading or alert-based automation
Alerts compatible with webhooks (n8n / Google Sheets)
Recommended Usage
Timeframe: 5-minute
Market: Trending sessions
Stop-loss: Below EMA20 or engulfing candle
Target: 1:1.5 – 1:2 R:R or EMA10 trailing
Break & Retest 369Break & Retest 369
The Break & Retest 369 is a high-precision technical indicator designed for price action traders who specialize in market structure shifts and "S/R Flip" (Support becoming Resistance and vice versa) strategies. Unlike standard oscillators that lag behind price, this tool focuses on **horizontal price levels** that have historically acted as turning points, providing visual zones where the market is likely to offer a "second chance" entry.
Core Philosophy
The script is built on the principle of Market Memory. In a trending market, a "Breakout" signifies a change in order flow. However, smart money often returns to the point of origin (the breakout level) to fill remaining orders or test the strength of the new trend. This indicator automates the identification of these "Retest" zones, which are often the highest-probability entry points for trend continuation.
How It Works: The Logic
The indicator follows a strict, multi-step calculation process:
1. Swing Point Identification: It utilizes a Pivot High/Low** algorithm. It scans for "peaks" and "valleys" that are isolated by a specific number of bars on either side (defined by the `Lookback` input).
2. **Breakout Detection:** The script monitors these pivot levels. A **Buy Zone** is triggered only when the price achieves a clean **Close** above a previous Pivot High. Conversely, a **Sell Zone** is triggered by a **Close** below a previous Pivot Low.
3. **Zone Construction:** Once a break is confirmed, the script draws a box centered exactly at the price level of the broken pivot.
4. **Forward Projection:** These zones are projected forward in time using the `Zone Extension` parameter, creating a visual "landing strip" for future price action.
### Key Features & How to Use It
* **Dynamic Support/Resistance Flips:** Green zones represent former resistance levels that are now expected to act as support. Red zones represent former support levels now expected to act as resistance.
* **Zone Customization:** Traders can adjust the `Zone Height (Ticks)` to account for market volatility or specific asset spreads (e.g., wider zones for XAUUSD, tighter for EURUSD).
* **Scannability:** The script helps traders filter out the "noise" of mid-range price movement and focus only on significant structural levels.
### Default Configuration
To get the most out of the **369** logic, the indicator comes pre-configured with the following defaults:
* **Swing Detection Lookback (18):** Optimized for medium-term structure, avoiding "micro-pivots" that lead to false signals.
* **Zone Height (1 Tick):** Focuses on the precise price point of the pivot for maximum accuracy.
* **Zone Extension (90 Bars):** Projects levels far enough to catch "deep" retests that occur several hours or days later.
---
### Pro Tip for Traders
Wait for price to return to a **Buy Zone** and look for a bullish rejection candle (like a pin bar or engulfing candle) before entering. This combines the "Where" (the zone) with the "When" (the price action confirmation) for a robust trading system.
Would you like me to add a **"Mitigation"** feature that automatically deletes or fades the zone once the price has successfully touched it?
Celestial StateCelestial State (C1) – Market Bias & Candle Intent
Celestial State (C1) is a price-action indicator designed to clarify market bias, momentum, and risk conditions using nothing but candle structure.
No indicators.
No lag.
Just clean candle logic.
The tool separates state (what the market is) from intent (what the market is doing right now).
🔹 Core Concept
The indicator works on the chart timeframe and uses closed candles only to define market state.
It then monitors the current candle to identify:
momentum confirmation
early warnings
potential trap / reversal behaviour
🔹 Market State (Based on C1 – last closed candle)
State is derived from the relationship between the last two closed candles:
Bull Trend Start
Bearish candle → Bullish candle
Bull Continuation
Bullish candle → Bullish candle
Bear Trend Start
Bullish candle → Bearish candle
Bear Continuation
Bearish candle → Bearish candle
This defines the directional environment before any decision is made.
🔹 Bias & Momentum (Live Candle)
Once state is defined, the current candle is monitored relative to the previous candle’s high and low.
Strong Buy
Bullish state
Previous candle bullish
Current candle breaks previous high
Strong Sell
Bearish state
Previous candle bearish
Current candle breaks previous low
These represent momentum continuation with confirmation.
Buy / Sell (Normal Bias)
Price is in a bullish or bearish state
No momentum break yet
This is directional bias without confirmation.
Changing Bias
Bullish state + previous low broken
Bearish state + previous high broken
This warns that control is being challenged and conditions may be shifting.
🔹 Flip (Strict Order)
A Flip is a high-risk condition where expansion fails:
Bull Flip
Current candle breaks previous high first, then breaks previous low
Bear Flip
Current candle breaks previous low first, then breaks previous high
This often signals:
failed breakouts
stop hunts
transition zones
🔹 Visual Output
Top-right panel shows:
Current Celestial State (C1)
Current Bias (Strong Buy / Sell / Changing Bias)
Short explanation (e.g. High broken, Low broken)
On-chart markers are intentionally minimal and offset away from price to reduce clutter.
🔹 Who This Is For
This indicator is built for traders who:
trade price action
want context before execution
prefer clarity over complexity
understand that bias ≠ entry
⚠️ Disclaimer
This tool does not provide entries, exits, or risk management.
It is a context and intent framework, not a signal system.
Use it as a decision-support layer alongside your own execution rules.
Traforetto Strategy (Tactica Adversa)test Traforetto Strategy (Tactica Adversa) I try to explane hau it will be work realy
Three Green Candles Screener - % Move & Volume1️⃣ Core purpose (big picture)
The indicator identifies stocks that:
Have 2 or 3 consecutive green candles
Are above a 21-EMA (trend filter)
Have reasonable % price movement (not overextended)
Show current volume, average volume, and turnover
Show daily and weekly % price change
It’s meant for short-term momentum screening (swing / positional / breakout prep).
2️⃣ Trend filter (EMA)
ema21 = ta.ema(close, emaLength)
Uses a 21-period EMA
All buy signals require price > EMA
This avoids counter-trend setups
3️⃣ Three Green Candles logic (main signal)
threeGreen = (close > open) and (close > open ) and (close > open )
This checks for three consecutive bullish candles.
Then it calculates:
% change for each candle (open → close)
Average % change across the 3 candles
avgChg = (chg0 + chg1 + chg2) / 3
✅ 3-Green signal triggers when:
3 consecutive green candles
Average % change ≤ user-defined max (default 10%)
Price above EMA21
➡ Output:
signal = 1 // Buy flag
signal = 0 // No action
This avoids parabolic / news-spike candles.
4️⃣ Two Green Candles logic (early signal)
This is a lighter, earlier version of the same logic.
twoGreen = (close > open) and (close > open )
avgChg2 = (chg0 + chg1) / 2
✅ 2-Green signal triggers when:
2 consecutive green candles
Average % change ≤ maxAvgChange
Price above EMA21
➡ Output:
signal2 = 1 // Early momentum
This helps catch moves one day earlier than the 3-green setup.
5️⃣ Volume & liquidity context (important)
Average volume (7 days)
avgVol7 = ta.sma(volume, 7) / 1e6
Shows liquidity trend
Units: Millions of shares
Today’s volume
todayVol = volume / 1e6
Helps confirm participation
6️⃣ Turnover (Price × Volume)
priceVolCrore = (close * volume) / 1e7
Measures capital flow, not just volume
Output in ₹ Crores
Helps filter:
Low-value pump candles
Illiquid stocks
7️⃣ % price movement
Daily move
pctDay = (close - close ) / close * 100
Weekly move (5 bars)
pctWeek = (close - close ) / close * 100
These give context, not signals:
Is this early?
Is it already extended?
8️⃣ Visual outputs (what you see)
Plots (in the indicator pane)
CMP (current price)
3-Green signal (0 / 1)
2-Green signal (0 / 1)
Avg 7-day volume (M)
Today’s volume (M)
Turnover (₹ Cr)
Day % move
Week % move
This makes it usable as a visual screener.
9️⃣ Summary table (top-right)
On the latest bar only, it shows:
Field Meaning
CMP Current price
Today Vol (M) Today’s volume
Turnover (Cr) Value traded
Day / Week % Momentum context
Compact, readable, no clutter.
10️⃣ What this indicator is GOOD for
✅ Momentum stock screening
✅ Swing / positional setups
✅ Avoiding overextended candles
✅ Liquidity & capital flow validation
✅ Manual decision support
11️⃣ What it does NOT do
❌ No auto buy/sell
❌ No stop-loss or targets
❌ No relative strength vs index
❌ No intraday scalping logic
TL;DR (one-liner)
This indicator finds stocks in a healthy uptrend with 2–3 controlled bullish candles, confirms them with EMA and volume/turnover, and presents all key momentum metrics in one clean view.
CTI Phase Bullish Bearish NeutralMarket Phase Checker. Checking multiple timeframes for confirmation of direction based on Japanese Candlesticks
Supply Demand Zones ProSupply Demand Zones PRO
Version: 1.0
Built with: Pine Script v6
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🧭 HOW TO USE Start Here
🧠 What it does default behavior
• ✅ Automatically identifies Supply & Demand zones on your chart
• ✅ Automatically ranks each zone from 0 to 10 higher = stronger
• ✅ Works across most TradingView symbols and timeframes with default settings
⚙️ Default settings recommended for most instruments
Use the default settings for:
• 💱 Forex
• 🪙 Crypto
• 📊 Indices
• 🛢️ Commodities
• 🏛️ Stocks
Defaults are tuned to provide a balanced mix of quality zones + clean charts.
🎯 How to trade with it high-level workflow
1. 🥇 Prioritize strong zones
o Focus on higher scores commonly 7–10 for best reversal potential.
2. 🔄 Wait for a reversal setup at the zone
o Example triggers: rejection wick, engulfing candle, strong reaction candle, structure shift.
3. ✅ Confirm with other indicators before entering
o Use confirmation tools (your choice), such as:
📈 Trend filter (MA / market structure)
🧪 Momentum (RSI / Stoch / MACD)
📉 Volume / volatility tools
o Then take BUY from demand or SELL from supply *only when confirmation aligns
🧩🖤 Executive Summary: PRO Features Overview
The Supply Demand Zones PRO indicator is a professional-grade tool built on the latest Pine Script v6, designed to automatically identify and score high-probability supply and demand zones.
It moves beyond simple zone plotting by incorporating a suite of advanced features that provide a deeper, more actionable market context. This helps traders filter out noise, focus on significant levels, and make more informed decisions.
The indicator is universally compatible and works seamlessly across all major asset classes and timeframes:
• Forex: EURUSD, GBPUSD, USDJPY
• Commodities: Gold/XAUUSD, Silver, Oil
• Indices: NQ, ES, DAX, FTSE
• Cryptocurrencies: Bitcoin, Ethereum, Altcoins
• Stocks: Individual equities
Most symbols available on TradingView are fully supported.
Notice on repainting 🕯️⬛
Active zones won’t repaint unless they are invalidated. Gray/Historic zones may repaint, and that’s fine—this script only displays the most recent and stronger historic zones (if historic zones are enabled).
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⬛🛠️Key PRO Features Overview
⚙️ Feature 📌 Description
Zone Strength Ranking ||| Each zone is dynamically scored from 1–10 based on its age and number of retests. Fresher, less-tested zones are stronger, helping prioritize high-impact levels.
Real-Time Distance ||| Each active zone’s info label shows the exact distance (in pips) from current price to the zone edge for quick risk/opportunity assessment.
Trading Session Tracking ||| Zones are tagged by formation session (Asian / London / New York) for added context—high-volume session zones often matter more.
Automated Retest Markers ||| The script tracks retests and places an “R” marker for each retest, giving a clear visual history of price interaction.
Advanced ATR Filtering ||| Volatility-based filters control zone quality: set min/max zone height and optionally enforce a consistent zone height using ATR.
Minimum Zone Distance ||| Reduces clutter by requiring a minimum number of bars between new zones, ensuring zones are distinct and well-separated.
Dual Label Controls Independently toggle info labels for Active vs Historic zones to keep charts clean while preserving key detail.
Built on Pine Script v6 ||| Uses the newest Pine Script version for better efficiency, reliability, and smoother handling of complex logic/drawings.
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Detailed Feature Breakdown ⬛
Zone Strength Ranking ⬛
The strength score is a proprietary calculation that helps traders instantly gauge the potential of a supply or demand zone. It is calculated in real time using:
1. Age of the Zone: As zones age, they may lose relevance. Strength decreases as the number of bars since creation increases.
2. Number of Retests: The first test is often the highest-probability reaction. Each retest reduces strength as liquidity is absorbed.
✅ A high score (7/10+) indicates a fresh, less-tested zone that may produce a strong reaction.
⚠️ A low score suggests a zone is old and/or heavily tested—use extra caution.
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🧱⬛Invalidation & Historic Zones
A zone becomes invalidated broken when price closes beyond its outer boundary or wicks beyond it, depending on settings. Once broken, it becomes a Historic Zone and turns gray.
This matters for structure: a broken supply zone can become future demand a flip zone, and vice versa.
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🧪⬛Advanced Filtering Explained
Three ATR-based filters control zone quality:
• Max Zone Height (ATR Multiplier): Blocks zones that are too large to trade effectively. Example: 1.0 ignores zones taller than 1× ATR.
• Min Zone Height (ATR Multiplier): Filters out zones that are too thin and likely noise. Example: 1.0 rejects zones smaller than 1× ATR.
• Force Zone Height (ATR Multiplier): Normalizes zone heights by expanding smaller valid zones up to the minimum ATR target. Example: 1.0 expands zones to at least 1× ATR.
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🧾⬛Configuration Guide
⚙️⬛Zone Detection
⚙️ Setting 🔧 Default 📝 Description
Swing Length (Sensitivity) 12 Lookback bars for pivot high/low detection. Higher = fewer, stronger zones.
Max Zones to Display 10 Max number of active Supply + Demand zones shown.
Max Zone Height (ATR) 1.0 Rejects zones taller than this ATR multiplier.
Min Zone Height (ATR) 1.0 Rejects zones smaller than this ATR multiplier.
Force Zone Height (ATR) 1.0 Expands valid zones to be at least this ATR multiplier.
Min Distance Between Zones 44 Minimum bars required between consecutive zones of the same type.
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🧱⬛Zone Settings
⚙️ Setting 🔧 Default 📝 Description
Zone Invalidation Close “Close” = candle must close past zone; “Wick” = wick past zone breaks it.
Show Historic Zones On Toggles visibility of broken (historic) zones.
Active Zones Lookback 1000 Hides active zones older than this many bars.
Historic Zones Lookback 1000 Hides historic zones older than this many bars.
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🖥️⬛Display
⚙️ Setting 🔧 Default 📝 Description
Show Active Zone Info On Toggles text labels for active (unbroken) zones.
Show Historic Zone Info Off Toggles text labels for historic (broken) zones.
Label Size Small Adjusts the font size of zone info labels.
Weekly IR Breakout SignalsInspired by XO (@Trader_XO) on CT for his trading strategy
and special thanks to REBO (@@R3BOOO) for putting it together in a cheat sheet and sharing it
contact me on X: @neuromancer0x
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Timeframe Recommendations:
1H chart - Day trading (5-10 signals/month)
4H chart - Swing trading (2-5 signals/month) ⭐ Best
Daily chart - Position trading (1-2 signals/month)
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When Signals Appear:
Monday: No signals (just setting up IR)
Tuesday-Friday: Watch for breakouts
Max 1 LONG + 1 SHORT per week (indicator enforces this)
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Risk Management:
Risk 0.5-1% per trade
Never risk more than 2% in one day
If 2 losses in a row → reduce size or pause
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🔔 Setting Up Alerts
Click "Create Alert" (⏰ icon)
Condition: Select "🟢 LONG Entry" or "🔴 SHORT Entry"
Alert name: "Weekly IR Signal"
Set to: "Once Per Bar Close"
Send to: Phone/Email/App
Key LevelsThe indicator includes:
• ✅ Daily/Weekly High/Low - update dynamically
• ✅ 4H Equilibrium - updates with new 4H candles
• ✅ Key Levels (4H, 1H, 30M, 15M) - LOCKED IN PLACE with labels
• ✅ London Open/Close - locked at their time of formation
• ✅ Info table - fixed in top right corner
3-Session ORB (SGT) + 15m EMA200 Trend Dashboard (v6)3-Session ORB (SGT) + 15m EMA200 Trend Dashboard (v6)
Emoji TP/SLChoose an emoji for price, take profit, and stop loss. Choose ticks as a live moving TP/SL visual. Choose price to see a fixed TP/SL.
Emoji Price + TP + SL FollowerEmojis following price, TP, and SL. For the homies only. We ain't playin dat foo foo broke boy no mo. put the fries in the bag
ORB Algo | WolfOfFuturesThis Script is an updated version of the Flux Charts ORB Algo
15min ORB default
4EMA breakout Condition
Dynamic TP Default
Neeson Trend Price Oscillator Pulse EditionNeeson Trend Price Oscillator Pulse Edition: A Comprehensive Market Cycle Analysis Tool
Overview and Purpose
The Trend Price Oscillator Pulse Edition is a sophisticated technical analysis indicator designed to identify major market cycle tops and bottoms. This tool operates as a standalone oscillator in a subchart, providing clear visual signals of overbought and oversold conditions within the context of long-term market cycles. Developed for position traders and long-term investors, it focuses on capturing significant market turning points rather than short-term fluctuations.
Integration Rationale and Component Synergy
The indicator integrates three core analytical concepts into a cohesive system:
Detrended Price Oscillator (DPO) Foundation: Traditional DPO methodology isolates cyclical price movements by removing the underlying trend component. This creates a clearer view of oscillatory behavior without the distortion of long-term directional bias.
Normalization Framework: By converting raw DPO values to a standardized 0-100 scale, the indicator establishes consistent reference points for market extremes across different instruments and timeframes. This normalization enables meaningful comparison of oscillator readings regardless of absolute price levels.
Dynamic Threshold System: The implementation of adjustable threshold levels (default: 95% for overbought, 5% for oversold) creates adaptive boundaries that respond to changing market volatility and cycle characteristics.
These components work synergistically: The DPO extracts cyclical information from price action, the normalization process standardizes this information for consistent interpretation, and the threshold system provides actionable decision points based on historical extremes.
Operational Mechanism
The indicator calculates a detrended price value by comparing current price against a displaced moving average. This detrended value is then normalized against its historical range over a specified lookback period, transforming it into a percentage-based oscillator. A smoothing filter is applied to reduce noise and highlight significant movements.
The oscillator's movement through threshold zones generates four distinct market signals:
Entry into overbought territory (crossing above 95%)
Exit from overbought territory (crossing below 95%)
Entry into oversold territory (crossing below 5%)
Exit from oversold territory (crossing above 5%)
Each signal corresponds to a specific market condition hypothesis regarding institutional versus retail trader dynamics in major market cycles.
Practical Application Guidelines
Primary Use Cases:
Identification of potential major cycle turning points on weekly and monthly timeframes
Confirmation tool for existing trading strategies requiring cycle analysis
Risk management through recognition of extreme market conditions
Interpretation Framework:
Overbought Conditions (Oscillator ≥ 95%): Suggest potential selling pressure from major market participants. Consider reducing long exposure or implementing protective measures.
Oversold Conditions (Oscillator ≤ 5%): Indicate potential accumulation zones by institutional buyers. Consider establishing or adding to long positions using dollar-cost averaging strategies.
Threshold Crossings: Monitor for exits from extreme zones as potential confirmation that a cycle peak or trough may have formed.
Parameter Considerations:
Default parameters (548-period oscillator, 274-period offset, 1096-period lookback) are optimized for identifying major market cycles. Users may adjust these values for different market conditions or timeframes, though significant parameter changes will alter the indicator's sensitivity and signal frequency.
Originality and Distinctive Features
This implementation incorporates several innovative aspects:
Extended Cycle Focus: Unlike most oscillators designed for shorter timeframes, this tool employs exceptionally long calculation periods specifically for identifying primary market cycles.
Dynamic Normalization: The lookback-based normalization adapts to changing market conditions without requiring manual recalibration.
Multi-Signal Alert System: Four distinct alert conditions provide nuanced information about market state transitions rather than simple binary signals.
Integrated Risk Context: Each signal includes contextual information about potential market participant behavior, encouraging disciplined risk management.
Empirical Considerations and Limitations
The indicator provides probabilistic assessments based on historical price behavior, not predictive certainties. Market conditions may change, rendering historical patterns less reliable. Users should consider:
The indicator performs best in trending or cyclical markets; it may generate false signals during extended range-bound periods.
No technical indicator, including this one, can guarantee future market movements.
Proper position sizing and risk management should accompany all trading decisions, regardless of indicator signals.
Expected User Outcomes
When used as part of a comprehensive trading plan, this indicator can help users:
Identify potential reversal zones in major market cycles
Develop patience by focusing on significant rather than frequent trading opportunities
Maintain objective perspective during market extremes through quantitative assessment
Coordinate entry and exit timing with cycle analysis
The Trend Price Oscillator Pulse Edition represents a specialized tool for traders seeking to align their strategies with major market cycles through systematic analysis of price oscillation behavior relative to long-term trends.
Neeson RSI Divergence DetectorIntegrating Multi-Indicator Strategies: A Rational Approach to Technical Analysis Tools
Introduction
The integration of multiple technical indicators into a unified trading script represents a sophisticated approach to market analysis, combining complementary analytical methods to enhance decision-making. This article outlines the rational basis for combining specific indicators, explains their synergistic operation, and provides practical guidance for users seeking to understand the functional utility, operational mechanics, and unique value proposition of integrated technical analysis tools.
Functional Purpose and Rational Integration Basis
Integrated technical scripts are designed to address the inherent limitations of single-indicator analysis by combining multiple analytical perspectives. The rational basis for integration typically follows these principles:
Complementary Signal Validation: Different indicators measure distinct market characteristics (momentum, volatility, trend strength, etc.). Their combination allows cross-validation of signals, reducing false positives inherent in single-indicator systems.
Multi-Timeframe Confirmation: Integrated scripts often incorporate elements that analyze price action across different temporal dimensions, providing a more comprehensive market perspective.
Risk Management Enhancement: By combining overbought/oversold indicators with trend confirmation tools, these scripts help identify not only entry opportunities but also potential risk zones.
Market Phase Adaptation: Different market conditions (trending, ranging, volatile) favor different indicator types. Integrated approaches maintain relevance across varying market environments.
Synergistic Operational Mechanism
The components of well-designed integrated scripts operate through several synergistic mechanisms:
Primary Trend Identification: Core trend-following indicators establish the dominant market direction, serving as a filter for other signals. This prevents counter-trend entries that might otherwise be generated by oscillators or momentum indicators.
Momentum Confirmation: Oscillator-based components (like RSI or Stochastic) validate the strength of the identified trend, distinguishing between healthy retracements and potential reversals.
Divergence Detection: By comparing price action with momentum indicators, these scripts identify subtle shifts in market dynamics that often precede trend changes.
Volatility Adjustment: Volatility-based components dynamically adjust signal thresholds and position sizing recommendations based on current market conditions.
Multi-Layer Filtering: Each signal passes through successive validation layers, with only the strongest, most confirmed signals triggering alerts or visual markers.
Practical Application Guidance
Users can maximize the utility of integrated scripts through these practical approaches:
Parameter Customization: Adjust indicator periods and thresholds to match the characteristics of specific trading instruments and timeframes. Historical testing can identify optimal settings for particular markets.
Signal Hierarchy Interpretation: Learn to distinguish between primary signals (strongly confirmed across multiple indicators) and secondary signals (weaker confirmation) for appropriate position sizing.
Contextual Analysis: Consider integrated signals within the broader market context, including support/resistance levels, volume patterns, and fundamental developments.
Performance Correlation: Monitor how different market conditions affect script performance. Some configurations may excel in trending markets while others perform better in ranging conditions.
Risk Calibration: Use the multi-indicator confirmation to calibrate stop-loss and take-profit levels, with tighter parameters for strongly confirmed signals and wider parameters for weaker ones.
Originality and Value Proposition
The originality of well-designed integrated scripts manifests in several dimensions:
Unique Combination Logic: The specific selection and weighting of indicators, along with their integration methodology, represents intellectual value distinct from simple indicator stacking.
Innovative Signal Processing: Advanced scripts often incorporate proprietary algorithms for signal filtering, noise reduction, or probability weighting not found in standard indicators.
Adaptive Framework: Some scripts dynamically adjust their analytical approach based on changing market conditions, representing a form of artificial market intelligence.
Visualization Innovation: The presentation of complex multi-indicator data in an intuitive, actionable format constitutes significant user interface originality.
Empirical Limitations and Responsible Use
It is crucial to maintain realistic expectations regarding integrated technical scripts:
No Predictive Certainty: These tools analyze probabilities, not certainties. No combination of historical price indicators can guarantee future price movements.
Market Efficiency Limitations: All technical analysis operates within the constraints of market efficiency, with script effectiveness varying across different market conditions and time periods.
Complementary Role: Integrated scripts should complement, not replace, comprehensive trading strategies including risk management, fundamental analysis, and market knowledge.
Continuous Evaluation: Regular performance assessment against established benchmarks helps maintain realistic expectations and identifies when script adjustments may be necessary.
Conclusion
The thoughtful integration of multiple technical indicators represents a logical evolution in analytical methodology, addressing the limitations of single-indicator approaches through complementary validation and multi-dimensional analysis. By understanding the rational basis for integration, the synergistic operation of components, and the practical application parameters, users can employ these tools as valuable components within broader, disciplined trading approaches. The true value emerges not from predictive accuracy but from structured decision support that helps traders navigate complex market environments with greater consistency and insight.
Daily Bias Panel (with MTF Toggle)Daily Bias Panel Documentation
Overview
The Daily Bias Panel is a TradingView indicator designed to provide a structured, multi factor assessment of market direction for intraday and swing traders. It consolidates several key bias components—Prior Day levels, VWAP, Overnight High/Low, Multi Timeframe Market Structure, and an Overall Bias—into a clean, compact table. A confidence meter summarizes the combined strength of all signals.
This document explains each line item, the rules behind it, and how to interpret the panel.
1. Prior Day Bias
Definition
Compares the current price to the previous day’s high and low.
Rules
• Bullish (1): Close > Prior Day High
• Bearish (-1): Close < Prior Day Low
• Neutral (0): Price is between the prior high and low
Interpretation
This bias reflects whether the market is breaking out above or below the previous day’s range. It is a foundational directional signal.
2. VWAP Bias
Definition
Measures whether price is trading above or below the Volume Weighted Average Price.
Rules
• Bullish (1): Close > VWAP
• Bearish (-1): Close < VWAP
• Neutral (0): Price is at VWAP
Interpretation
VWAP is a widely used institutional benchmark. Trading above VWAP suggests buyers are in control; below VWAP suggests sellers dominate.
3. ONH / ONL Bias (Overnight High / Low)
Definition
Tracks the overnight session’s high and low (18:00–09:30 ET) and compares current price to those levels.
Rules
• Bullish (1): Close > Overnight High
• Bearish (-1): Close < Overnight Low
• Neutral (0): Price is inside the overnight range
Interpretation
ONH/ONL is extremely important for index futures (ES/NQ). Breaking ONH/ONL often signals strong directional intent at the RTH open.
4. Struct MTF (Market Structure Bias)
Definition
A weighted blend of market structure trends across multiple timeframes.
Modes
Swing Mode
• 4H (50%)
• 1H (30%)
• 15M (20%)
Intraday Mode
• 1H (40%)
• 15M (35%)
• 5M (25%)
Rules
Each timeframe is classified as:
• Bullish (1): Higher High + Higher Low
• Bearish (-1): Lower High + Lower Low
• Neutral (0): No clear structure
The weighted average produces a final structure score.
Interpretation
This is your trend engine. It smooths noise and provides a stable directional backbone.
5. Overall Bias
Definition
A strict agreement filter between Prior Day Bias and VWAP Bias.
Rules
• Bullish (1): Both Prior Day and VWAP are bullish
• Bearish (-1): Both are bearish
• Neutral (0): Any disagreement
Interpretation
This prevents false positives by requiring alignment between two major bias components.
6. Confidence Score
Definition
A weighted blend of all bias components:
• Prior Day (25%)
• VWAP (25%)
• ONH/ONL (20%)
• MTF Structure (30%)
Output
A normalized score between -1.00 and +1.00.
Interpretation
• +1.00: Strong bullish alignment across all systems
• -1.00: Strong bearish alignment
• 0.00: Mixed or unclear conditions
7. Confidence Meter (10 Square Visual)
Definition
A visual representation of the confidence score.
Rules
• 0–10 squares filled based on absolute confidence
• Color reflects direction (green/red/yellow)
Interpretation
A quick glance gauge of trend strength.
8. Debug Mode (Optional)
Purpose
Displays all underlying levels and bias markers directly on the chart.
Includes
• Prior High / Low
• VWAP
• ONH / ONL
• Confidence Score line
• Bias markers (P, V, O, M)
Use Case
Great for verifying logic, backtesting visually, and understanding how each component behaves.
9. Panel Layout & Spacing
Top Left Spacer System
When the panel is placed in the top left corner, a 3 row spacer pushes it below the chart header and indicator dropdown.
Panel Size Options
• Small
• Medium
• Large
These adjust font sizes and meter padding.
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Summary
The Daily Bias Panel is a compact, multi factor decision tool that blends:
• Prior Day context
• VWAP positioning
• Overnight session dynamics
• Multi timeframe trend structure
• A strict overall bias filter
• A confidence scoring engine
Together, these components give traders a clear, structured view of market direction and strength.
This documentation should serve as a complete reference for understanding, using, and publishing the indicator.
Gap Hunter Pro [Auto-Alerts + Fill Detection]Gap trading is profitable, but staring at charts waiting for a fill is tedious.
Gap Hunter Pro automates the process by instantly detecting valid gaps, drawing dynamic support/resistance zones, and alerting you exactly when action happens. Unlike standard gap indicators, this script manages the lifecycle of the gap—tracking it from creation to partial entry, and finally removing it once it is fully filled.
Key Features:
🚀 Smart Detection: Automatically finds "Gap Ups" and "Gap Downs" based on your custom threshold (filter out small noise).
🔔 Dual Alerts:
Entry Alert: Get notified the moment price touches the gap zone.
Fill Alert: Get a second notification when the gap is 100% closed (filled).
🧹 Auto-Cleanup: Zones automatically delete themselves from the chart once filled, keeping your workspace clean.
🎨 Fully Customizable: Control colors, border thickness, history depth, and text labels.
How to Use:
Add to Chart: Works on any timeframe (15m recommended for Day Trading, Daily for Swing).
Adjust Settings: Set "Max Gaps to Keep" to control history depth.
Set the Alert (Crucial):
Click the Alert button in TradingView.
Condition: Select Gap Hunter Pro.
Action: Select "Any alert() function call".
You now have a fully automated gap scanner running 24/7.
Peak Trading Activity Graphs [LuxAlgo]The Peak Trading Activity Graphs displays four graphs that allow traders to see at a glance the times of the highest and lowest volume and volatility for any month, day of the month, day of the week, or hour of the day. By default, it plots the median values of the selected data for each period. Traders can enable the Median Delta feature to further highlight differences in the data. The graphs are customizable in width and height and feature gradient colors by default.
🔶 USAGE
The tool is simple yet powerful. Using the three main parameters on the settings panel, traders can display up to four different graphs and up to 16 different configurations.
There are two main types of data: volume and volatility. There are also four different time periods: months, days of the month, days of the week, and hours of the day. There is also the possibility of displaying the raw medians or the delta between them.
Understanding which time periods have the most and least volume and volatility is essential for any trader. From avoiding trading during periods of low volume to properly sizing positions during periods of high volatility, there are multiple use cases directly related to improving execution and risk management.
🔹 Months
This chart shows the monthly volume and volatility of NQ as medians at the top and as the delta of medians at the bottom.
As we can see on the left-hand chart, the volume is fairly consistent throughout the year. January, March, and October have the highest volume, and December has the lowest volume for obvious reasons. Note the bottom chart with the delta feature enabled, which clearly shows the top and bottom periods.
On the right, we have volatility, which is also evenly distributed throughout most months. October is the most volatile month, and March is the least volatile month. The differences are also very clear on the bottom chart with delta enabled.
Traders may want to compare median volatility and volume by month to size positions and favor exposure during historically high-activity months.
🔹 Days of Month
The same NQ charts are shown, but in this case, the Days of Month period has been selected. As you can see, this displays a calendar-like graph. The volume is on the left, the volatility is on the right, and the delta feature is enabled on the bottom charts. This feature allows for stronger differences in gradient.
The top charts show that the raw medians of both volume and volatility are evenly distributed. We need to enable the delta feature on the bottom charts to see where the most and least volume and volatility are.
Traders can use median activity by calendar day to anticipate liquidity expansions or contractions and adjust trade frequency.
🔹 Days of Week
In this case, we have BTC charts with the same layout as before. Notably, the difference in volume on weekends is not as pronounced from a volatility perspective on those same days.
A practical use case can be differentiate high-risk, high-participation weekdays from low-activity sessions to select trend or range-based strategies.
🔹 Hours of Day
This shows the volume and volatility of each hour of the day for gold futures. As we can see, the most volume and volatility occur during the three hours around the RTH open at 8:00, 9:00, and 10:00 a.m.
Traders may want to isolate hours with the highest median volatility and volume to concentrate execution and avoid low-liquidity periods.
🔹 Assets Comparison
This tool allows us to compare different assets over the same period. In this case, we are comparing the hours of the day for 10-year notes, the S&P 500, silver, and the yen. Each asset has a different volatility profile throughout the day.
With the Delta feature enabled, we can clearly see the differences. The 10Y Notes move from 7:00 to 9:00 and from 2:00 to 9:00. The Yen moves from 7:00 to 9:00 and from 2:00 to 9:00. Silver moves from 8:00 to 10:00. The S&P 500 moves from 8:00 to 9:00 and from 14:00 to 15:00. All times are in exchange time.
🔹 Sizing & Coloring Graphs
Traders can adjust the width and height of the graphs, as well as the text size, at will.
Traders can choose from four different color configurations in the settings panel.
🔶 SETTINGS
Data: Select the type of data to display: Volume or Volatility.
Period: Select the time period to display: Month, Day of Month, Day of Week, or Hours.
Display delta between medians. Display the difference between the medians as a percentage. The smaller median is 0 and the larger median is 100. Enabling this feature highlights the differences between values.
🔹 Graph
Graph: Select the graph location.
Size: Select the graph size.
Width: Select the graph width.
Height: Select the height of the graph.
🔹 Style
Colors: Select a color map: Viridis, Plasma, Magma, or Custom.
Custom Cold: Select a custom color for cold (low values).
Custom Lukewarm: Select a custom color for lukewarm (medium values).
Custom Hot: Select a custom color for hot (high values).
