PA Signal Pro: Full Labels & SR Zones tomgoodcar999 To help you use the PA Signal Pro: Ultimate Scalper indicator most effectively, I've summarized the reading method and trading strategies in the following steps:
1. Reading the signals on the screen
After installing the code, you will see three main components:
Support and Resistance Zones:
Red box (RES): This is the resistance level, where selling pressure tends to enter.
Green box (SUP): This is the support level, where buying pressure tends to wait.
There is always a price number indicated on the right edge of the box.
BUY/SELL Signals:
Appear when a Price Action (Engulfing) pattern occurs, when the price touches the upper or lower boundary of the indicator.
Trade Lines:
Blue (ENTRY): The point where you should enter your order.
Red (SL): Stop Loss point.
Green/Blue (TP1-3): Take Profit points in order of risk.
2. Scalping Strategy
For the most accurate trading, use PA signals in conjunction with support and resistance zones:
BUY Order Entry (Uptrend):
Look for: Price flowing down to touch or enter the green box (SUP).
Wait for the signal: For the word BUY to appear on the candlestick.
Enter Order: Open a Buy order at the ENTRY price.
Target: Set a take profit target at TP1 (quick profit) or TP2-3 (large profit).
SELL Order Entry (Downtrend):
Look for: Price bouncing up to touch or enter the red box. (RES)
Waiting for a signal: Wait for the word SELL to appear on the candlestick.
Entering an order: Open a Sell position at the ENTRY price.
Target: Set the order close at TP1, TP2, or TP3, depending on your risk tolerance.
3. Observing Warning Symbols (Hit Markers)
The indicator will help monitor your screen with symbols on the candlestick:
🎯 (Target): Appears when the price reaches TP1 (It is recommended to move the SL to cover the stop-loss point to prevent losses).
❌ (Cross): Appears when the price retraces and hits the SL point (You should accept the stop-loss according to the system).
4. Additional Tips (Pro Tips)
Timeframe: It is recommended to use 1m, 5m, or 15m timeframes for short-term profit taking (Scalping).
Settings (Inputs): * If you feel there are too few signals, adjust the Signal StdDev down (e.g., 0.6).
To take profits faster, adjust the TP1 Ratio to 0.3 or 0.4.
Discipline: If the price hits... If you've hit your Stop Loss (SL) and a ❌ symbol appears, stop and wait for a new signal. You shouldn't retaliate with a quick buy/sell trade.
Трендовый анализ
Auto Liquidity Sweep Trendlines Flexible By VJhaThis auto liquidity sweep trendline is more flexible in that it offers you choice to make different pivot bars for Green and Red lines. Points to draw these trendlines are not ordinary and arbitrary wicks, rather they are most impactful liquidity sweeps, making them worthy of reliablility.
This is helpful to choose bigger bar numbers for longer trend and smaller bar number even 1 for pullback trend giving you sniper entry: in case you have missed the larger trend.
Say goodbye to manual trendline drawing with this tool in place, once and for all.
Happy trading.
PA Signal Pro + S/R Boxes & Alerts tomgoodcar 888 For BUY Positions:
Primary Signal: BUY Crossover (Green arrow) appears.
Confirmation: The signal occurs near or immediately after breaking out of a Light Green Support Box.
Exit Point: Consider taking profit at the next Light Red Resistance Box.
For SELL Positions:
Primary Signal: SELL Crossover (Red arrow) appears.
Confirmation: The signal occurs near or immediately after breaking down from a Light Red Resistance Box.
Exit Point: Consider taking profit at the next Light Green Support Box.
Box Color Definition Trading Strategy
Light Red Resistance Zone Consider Taking Profit (TP) for Longs, or use as a Short Entry point if price touches and fails to break above.
Light Green Support Zone Consider Taking Profit (TP) for Shorts, or use as a Long Entry point if price touches and shows reversal signals.
Signal Entry Condition (Sub-window) Chart Action Meaning
BUY A/D Line (Blue) crosses above A/D MA (Red) Green arrow and "✅ BUY Accumulation" label Major players are significantly Accumulating (Buying), indicating a buying opportunity.
SELL A/D Line (Blue) crosses below A/D MA (Red) Red arrow and "❌ SELL Distribution" label Major players are significantly Distributing (Selling), indicating a shorting opportunity.
💡 Pro Tip: Signals are more reliable when the A/D Line Crossover occurs simultaneously with a price breakout above or below recently formed support/resistance levels.
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Neuro-Adaptive Reversal SystemThe Neuro-Adaptive Reversal System (NARS) is a sophisticated mean-reversion tool designed to identify market exhaustion points. Unlike static oscillators that rely on fixed overbought/oversold levels, NARS utilizes a proprietary volatility engine that adapts its sensitivity based on user-selected "Aggression Profiles."
Concepts & Underlying Calculations:
1. The "Neuro-Adaptive" Logic (Dynamic Parameter Mapping): The core of this script is a logic engine that maps specific mathematical constants to a user-friendly interface. It adjusts the Lookback Memory and Standard Deviation sensitivity instantly based on the selected mode:
Sniper Mode: Uses a deep lookback (60 bars) and high deviation (3.0 ATR). This filters out noise to target only extreme volatility breaches.
Aggressive Mode: Uses balanced settings (30 bars / 2.2 ATR).
Very Aggressive Mode: Uses shallow memory (14 bars / 1.6 ATR) to scalp minor volatility pops.
2. MLMA (MakeLegacy Moving Average): The trend baseline is not a simple EMA. It is an Efficiency Ratio (ER) based Moving Average.
The Math: It calculates the ratio of the net price change (Signal) to the sum of absolute price changes (Noise) over a specific period.
The Result: When the market is trending efficiently, the MA smooths out (Blue). When the market is chopping (inefficient), the MA flattens instantly (Red), signaling a "No Trade" or consolidation zone.
3. Volatility Breach Channels: The Reversal Channels are calculated by taking the historical Highest High or Lowest Low (offset by one bar to prevent repainting the current breakout) and adding/subtracting a multiple of the Average True Range (ATR).
Signal Trigger: A signal is generated only when the current price creates a "Volatilty Breach"—physically piercing this dynamic volatility envelope.
4. Built-in Simulation Engine: The script includes a state-machine that simulates trades based on the generated signals. It calculates theoretical Stop Losses and Take Profits based on the ATR at the moment of entry, tracking the Profit Factor (PF) of these signals in real-time on the dashboard.
Key Features:
Resizeable Dashboard: A fully customizable panel showing the Profit Factor for Longs and Shorts, helping you validate if the current settings suit the asset you are trading.
3 Distinct Modes: Switch between Sniper, Aggressive, and Very Aggressive to tune the script to current market volatility.
Visual Trend Identification: The MLMA changes color to visually indicate trend direction and market efficiency.
How to Use:
Select Mode: Start with "Sniper" for higher timeframes or "Aggressive" for scalping.
Wait for Breach: Look for price to pierce the Upper (Red) or Lower (Blue) Reversal Channel.
Confirm Entry: Wait for the corresponding "L" (Long) or "S" (Short) label.
Manage Trade: The script plots theoretical TP (Take Profit) and SL (Stop Loss) lines based on volatility. Use these or the MLMA color change as your exit signals.
Settings:
AI Aggressiveness: Controls the sensitivity of the signals.
Dashboard Position/Size: Moves the table to your preferred location on the chart.
Visual Toggles: Turn off the MLMA or Channels to clean up your chart.
Disclaimer: The "Performance Dashboard" is a theoretical simulation based on the script's internal logic and past price action. It does not represent actual live trading results. Use proper risk management.
DewaSMC ELITE DewaSMC ELITE — Prepare Entry + EMA Alerts
DewaSMC ELITE is a Smart Money Concept (SMC) trading indicator designed for scalping and intraday trading on 5-minute and 15-minute timeframes.
It helps traders anticipate entries early, confirm direction with EMA filters, and manage trades with automatic TP/SL levels and advanced JSON alerts.
Key Features
Smart Money Concept (SMC)
- Automatic BOS (Break of Structure) and CHoCH (Change of Character)
- Bullish & bearish market structure detection
- Break confirmation using candle body or wick
Prepare Entry System (Early Warning)
- PREPARE ENTRY zones appear before an actual structure break
- Provides early alerts so traders can get ready before entry
- Prepare zones are automatically removed once a valid entry occurs
EMA Confirmation Filter
- Built-in EMA 9 & EMA 20
- Optional strict EMA alignment:
- LONG: EMA 9 above EMA 20 + price above EMA
- SHORT: EMA 9 below EMA 20 + price below EMA
- EMA confirmation status is shown in the info table and alerts
Automatic TP & SL (ATR-Based)
- Entry is set at the broken structure level
- TP1, TP2, TP3, and Stop Loss are dynamically calculated using ATR
- Visual Risk Zone & Reward Zone
- TP hit tracking with visual check marks (✓)
Trade Information Table
- Displays real-time trade details:
- Trade direction (LONG / SHORT)
- Entry price, Stop Loss, TP1–TP3
- Risk & reward percentages
- EMA confirmation status
- Risk : Reward ratio
Advanced JSON Alerts (No Spam)
- BUY & SELL entry alerts
- Clean JSON format (ready for bots / webhooks)
- Anti-spam signal lock
Filters:
- Timeframe 5m & 15m
- Volatility filter (ATR-based)
- EMA confirmation (YES / NO is always included)
Recommended Timeframes & Markets
Best performance on:
- 5m & 15m timeframes
- Forex, Gold (XAUUSD), and Crypto (BTC, ETH)
ELITE Mode Features:
- Maximum trades per day
- Cooldown between trades
- Kill switch to disable all entry alerts
Who Is This Indicator For?
✔ Scalpers & intraday traders
✔ Smart Money Concept (SMC) traders
✔ Traders who want early entry preparation
✔ Bot & webhook automation users
Disclaimer
This indicator is not financial advice.
Always apply proper risk management.
Trading performance depends on market conditions, spread, and execution quality.
JC_Trendlineauto trend line
this will automatically draws 3 sets of trend lines on any time frame charts
Adaptive Mean ReversionADAPTIVE MEAN REVERSION
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INTRODUCTION
The Adaptive Mean Reversion indicator represents a comprehensive approach to identifying potential reversal opportunities in financial markets. Unlike traditional mean reversion systems that rely on fixed parameters, this indicator dynamically adjusts its entry thresholds based on the historical behavior of each specific instrument. This adaptive methodology allows the indicator to calibrate itself to the unique volatility characteristics of any market, whether trading cryptocurrencies, forex pairs, equities, or commodities.
The core innovation lies in how the indicator learns from price action.
Rather than assuming a one-size-fits-all approach where the same ATR multiplier works across all instruments and timeframes, this system continuously measures how far price typically extends beyond established trading ranges. Over time, it builds a statistical profile of penetration depths and uses this information to set intelligent entry levels that reflect actual market behavior rather than arbitrary fixed values.
Beyond the adaptive threshold mechanism, the indicator incorporates multiple advanced features including Fisher-RSI transformation for cleaner momentum signals, regime detection based on directional movement and volume flow, divergence identification for spotting potential reversals, extreme exit conditions for capturing overbought peaks, and comprehensive position management with cascade protection. These features combine to create a complete mean reversion framework rather than a simple signal generator.
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HOW THE INDICATOR WORKS
The foundation of this indicator begins with the Donchian Channel, a well-established technical tool developed by Richard Donchian that identifies the highest high and lowest low over a specified lookback period. This channel defines the recent trading range and serves as the baseline from which extended price movements are measured. The channel is shifted by one bar to prevent any lookahead bias in the calculations.
When price touches or penetrates these Donchian boundaries, the indicator records the depth of penetration normalized by the Average True Range. This normalization is critical because it allows meaningful comparison across different price levels and volatility regimes. A ten-dollar move means something very different on a stock trading at fifty dollars versus one trading at five hundred dollars, but expressing that move as a fraction of ATR creates a universal measurement.
The indicator maintains rolling arrays of these penetration measurements, separately tracking buy-side penetrations below the lower band and sell-side penetrations above the upper band. Once sufficient samples have been collected, the system calculates the average penetration depth and uses this value to establish adaptive entry thresholds. A sensitivity parameter allows traders to fine-tune how aggressively these learned thresholds translate into entry levels.
The resulting entry levels appear on the chart as dynamic bands that float below the Donchian lower boundary for potential buy zones and above the Donchian upper boundary for potential sell zones. These bands expand and contract based on the learned volatility behavior, automatically becoming more permissive in markets that tend to produce deeper penetrations and more restrictive in markets that reverse quickly after touching the channel.
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SIGNAL FILTERING METHODOLOGY
Raw price touches of the adaptive entry levels do not automatically generate signals. The indicator employs multiple confirmation filters derived from established technical analysis research to improve signal quality and reduce false positives.
The momentum filter offers two modes of operation. Classic RSI mode uses the traditional Relative Strength Index developed by J. Welles Wilder, requiring oversold readings for buy signals and overbought readings for sell signals. Alternatively, the Fisher-RSI transformation applies John Ehlers' Fisher Transform to the RSI values, creating a more normally distributed signal that provides cleaner threshold crossings and reduces the lag inherent in standard RSI. The Fisher transformation stretches values near extremes and compresses values near the center, making overbought and oversold conditions more distinct and actionable.
The Average Directional Index provides trend strength confirmation with both minimum and maximum thresholds. The minimum ADX requirement ensures sufficient directional movement for meaningful reversal points. The maximum ADX threshold is equally important for mean reversion strategies, as extremely high ADX readings indicate powerful trends where counter-trend entries consistently fail. By capping ADX at a configurable maximum, the indicator avoids generating signals in markets where mean reversion is unlikely to succeed.
An optional Bollinger Band Width Percentile filter adds a volatility regime component to the signal logic. This filter calculates the current Bollinger Band width as a percentile of its historical range, effectively measuring whether current volatility is high, low, or average relative to recent history. Requiring a minimum BBWP value prevents signals during periods of abnormally compressed volatility, which often precede breakouts rather than reversions.
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REGIME DETECTION AND VISUALIZATION
The indicator incorporates market regime detection to provide contextual awareness beyond simple signal generation. Regime classification uses a combination of directional movement analysis and volume confirmation through On Balance Volume.
A bullish regime is identified when the positive directional indicator exceeds the negative directional indicator, OBV trends above its moving average indicating accumulation, and ADX confirms sufficient trend strength. Bearish regimes require the opposite conditions with negative directional movement dominant and OBV below average indicating distribution. Neutral regimes occur when these conditions are mixed or trend strength is insufficient.
The Donchian channel fill color reflects the current regime, providing immediate visual feedback on market state. Green shading indicates bullish conditions favorable to long entries, pink or red shading indicates bearish conditions where caution on long positions is warranted, and blue shading represents neutral or transitional states. When the band contraction filter detects abnormally narrow channels, orange shading warns that breakout conditions may be developing and mean reversion signals are suspended.
This regime overlay transforms the indicator from a pure signal generator into a contextual analysis tool. Even when no signals are actively triggering, the regime shading provides valuable information about the broader market environment.
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DIVERGENCE DETECTION
The indicator includes built-in divergence detection to identify potential reversal setups where price and momentum disagree. Divergences often precede significant turning points and provide early warning of trend exhaustion.
Bullish divergence occurs when price makes lower lows while RSI makes higher lows. This pattern suggests that despite falling prices, selling pressure is diminishing and buyers may be stepping in at progressively higher momentum levels. The indicator marks bullish divergences with cyan triangle markers below the price bars, drawing attention to potential long entry opportunities.
Bearish divergence occurs when price makes higher highs while RSI makes lower highs. This pattern indicates that despite rising prices, buying momentum is waning and the uptrend may be losing steam. Magenta triangle markers appear above price bars when bearish divergences are detected, warning of potential trend exhaustion even as price continues higher.
The divergence lookback parameter controls how many bars the indicator examines when comparing price and RSI patterns. Shorter lookbacks detect more frequent but potentially less significant divergences, while longer lookbacks identify more substantial divergence patterns that may signal larger reversals.
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EXTREME EXIT FUNCTIONALITY
Mean reversion strategies face a particular challenge when prices enter parabolic moves. Standard sell signals require multiple filter conditions to align, which may not happen quickly enough during explosive rallies. The extreme sell feature addresses this by providing an emergency exit mechanism when RSI reaches extremely overbought levels.
When RSI exceeds the extreme threshold, typically set around 85 or higher, the indicator triggers a sell signal regardless of other filter conditions. This allows positions to capture profits during euphoric price spikes that often reverse sharply. The extreme sell has its own independent cooldown to prevent rapid repeated triggers during volatile conditions.
Importantly, extreme sells are designed as profit-taking exits only and do not reset the cascade counter. This distinction matters because the cascade system tracks position building during normal market conditions. An extreme sell takes profits during an unusual spike but acknowledges that the underlying mean reversion logic may still be valid for the position being built.
A safety check ensures extreme sells only trigger when price is at or above the upper Donchian band, or when ADX confirms sufficient trend strength. This prevents the extreme sell from triggering during conditions where it might exit a position prematurely before the actual price spike occurs.
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POSITION MANAGEMENT FEATURES
The indicator includes built-in logic to manage signal frequency and prevent overtrading. A cooldown parameter establishes the minimum number of bars that must pass between consecutive signals, preventing rapid-fire entries during volatile periods when price may whipsaw through entry levels multiple times.
The cascade management system tracks consecutive buy signals and enforces a maximum limit before requiring a sell signal to reset the counter. This feature supports dollar-cost averaging strategies while preventing unlimited position accumulation. When the cascade limit is reached, the indicator blocks further buy signals until a sell occurs, protecting against runaway position building in trending markets. The current cascade count displays prominently in signal labels and the information table, providing clear visibility into position building status.
The band contraction filter provides additional protection against false signals during consolidation periods. When enabled, this filter measures the current Donchian channel width as a percentile of its historical range. Abnormally narrow channels often indicate impending breakouts rather than mean reversion opportunities. When channel width falls below the contraction threshold percentile, all signals are blocked and the channel fill color changes to orange as a visual warning. This prevents entries just before volatility expansion that could move strongly against mean reversion positions.
For informational purposes, the indicator tracks a theoretical average entry price calculated from accumulated buy signals. This value resets when a sell signal fires, allowing traders to see at a glance what their average cost basis would be if following the signals mechanically. The information table colors the average price display green when current price is above average cost or red when below, providing instant profitability feedback.
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VISUAL COMPONENTS
The chart overlay displays multiple layers of information to support decision-making. The Donchian Channel appears as stepped lines showing the upper boundary and lower boundary of the recent trading range. The adaptive entry levels plot as distinct colored bands below and above the channel, making it immediately clear where price must reach to trigger potential signals.
The channel fill color provides instant regime feedback. Green shading indicates bullish conditions with positive directional movement and accumulation. Pink or red shading indicates bearish conditions with negative directional movement and distribution. Blue shading represents neutral or transitional states. Orange shading warns of band contraction when signals are suspended due to abnormally narrow channel width.
Two indicator bars provide at-a-glance status of the momentum and trend filters. The RSI bar appears at the top of the chart using a color gradient that adapts to whether Fisher-RSI or classic RSI mode is active, progressing from deep green in oversold territory through neutral gray to deep red in overbought conditions. The ADX bar appears at the bottom, progressing through colors that indicate trend strength from very weak to strong.
Divergence markers appear as small triangles when enabled. Cyan upward triangles below bars indicate bullish divergence where price is making lower lows but RSI is making higher lows. Magenta downward triangles above bars indicate bearish divergence where price is making higher highs but RSI is making lower highs.
Signal labels appear directly on the chart when buy, sell, or extreme sell conditions trigger, displaying the signal type and execution price. Label size is configurable to match chart preferences.
The information table consolidates all indicator status into a compact display. The header row shows the current regime with color-coded background. Subsequent rows display the calculation method, trade availability status, cascade counter with warning indicators, average entry price with profit or loss coloring, position status, RSI or Fisher values with threshold comparison, ADX with range display, BBWP percentile, and divergence status. Color coding throughout the table provides immediate feedback on whether conditions are favorable for signals, with warning symbols highlighting any blocking conditions.
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WHAT MAKES THIS INDICATOR UNIQUE
The primary differentiator of this indicator is its self-calibrating nature. Most mean reversion indicators require traders to manually optimize parameters for each instrument and timeframe, a time-consuming process that often leads to curve-fitting. This indicator sidesteps that problem by learning appropriate thresholds directly from market data.
The deterministic adaptive mechanism ensures consistency between what appears on the chart and what triggers alerts. By calculating penetration statistics from a fixed historical window on each bar rather than accumulating samples indefinitely, the indicator produces identical results whether viewed in a browser or processed by the alert server. This technical detail matters enormously for traders who rely on automated alerts matching their chart analysis.
The dual-mode momentum filter with Fisher-RSI transformation provides cleaner signal generation than standard RSI alone. The Fisher Transform normalizes the distribution of RSI values, creating sharper threshold crossings and reducing the common problem of RSI hovering near extreme levels without producing actionable signals.
Regime detection transforms this from a pure signal generator into a contextual analysis tool. The bull, bear, and neutral regime classifications combine directional movement and volume flow analysis to provide broader market context. Even between signals, the regime-shaded channel fill offers valuable information about favorable or unfavorable conditions for mean reversion entries.
The divergence detection module identifies potential reversals before they occur by spotting disagreements between price and momentum. These early warning signals complement the main entry logic and help traders anticipate turning points rather than react to them.
The extreme exit mechanism addresses a specific weakness of mean reversion strategies during parabolic moves. By providing an emergency profit-taking exit when RSI reaches extreme levels, the indicator captures gains during euphoric spikes that often reverse violently.
The comprehensive position management features including cascade protection, band contraction filtering, and cooldown controls transform this from a simple signal generator into a complete trading framework. These features provide the scaffolding needed to build systematic trading approaches around the core signal logic.
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APPROPRIATE USE CASES
This indicator performs best in markets that exhibit mean-reverting behavior, where prices tend to oscillate around a central value rather than trending persistently in one direction. Range-bound markets, consolidation periods, and instruments with natural mean-reversion characteristics provide the most favorable conditions.
Traders should exercise caution during strong trending markets where mean reversion signals may repeatedly trigger against the prevailing trend direction. The ADX filter provides some protection against this scenario, but no filter system is perfect. Combining this indicator with broader market regime analysis can help identify periods when mean reversion strategies are more or less likely to succeed.
The indicator works across all timeframes, though the adaptive learning mechanism requires sufficient historical data to populate the penetration sample arrays. New charts or very high timeframes with limited bar history may initially use default multiplier values until enough samples accumulate. The information table displays current sample counts so traders can verify when adaptive thresholds have fully calibrated.
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RISK DISCLAIMER AND EDUCATIONAL PURPOSE
This indicator is provided for educational and informational purposes only. It is designed to illustrate concepts in adaptive threshold calculation, multi-factor signal filtering, and position management logic. The indicator does not constitute financial advice and should not be used as the sole basis for trading decisions.
Past performance of any trading system or methodology is not necessarily indicative of future results. All trading involves substantial risk of loss and is not suitable for all investors. Before using any indicator or trading system with real capital, traders should thoroughly backtest across multiple market conditions, account for realistic transaction costs and slippage, and ensure proper position sizing relative to account size and risk tolerance.
The technical analysis concepts employed in this indicator draw upon the foundational work of Richard Donchian in channel breakout methodology, J. Welles Wilder in the development of the Relative Strength Index, Average True Range, and Average Directional Index, John Ehlers in the application of Fisher Transform to oscillators, Joseph Granville in the development of On Balance Volume for accumulation and distribution analysis, and John Bollinger in Bollinger Band analysis. These well-established technical tools have been combined and extended with adaptive threshold logic, regime detection, and divergence analysis to create the methodology presented here.
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SETTINGS OVERVIEW
The Channel Settings section controls the Donchian length parameter that determines the lookback period for highest high and lowest low calculations. This establishes the baseline trading range from which extensions are measured.
Adaptive Threshold Settings govern the self-calibrating mechanism. The calculation method can use either average or percentile-based approaches for processing penetration samples. The lookback parameter determines how many band touches are analyzed. Minimum and maximum multiplier values establish bounds for the adaptive calculation, preventing extreme values. The minimum samples setting ensures sufficient data before adaptive thresholds activate. Traders can disable adaptive mode entirely to use a fixed multiplier if preferred.
Momentum Filter Settings control the RSI-based signal confirmation. The Fisher-RSI toggle switches between classic RSI and Fisher-transformed RSI. Separate thresholds exist for each mode, allowing precise calibration of oversold and overbought levels.
Trend and Volatility Filters include ATR length for volatility measurement, ADX settings with both minimum and maximum thresholds, and the optional BBWP filter with its own length and lookback parameters. The signal cooldown setting prevents rapid repeated signals.
Position Management parameters set the cascade protection limit for consecutive buys and the optional band contraction filter with its lookback and threshold settings.
Extreme Exit Settings configure the emergency profit-taking mechanism including the extreme RSI threshold, independent cooldown period, and alert toggle.
Divergence Detection settings enable or disable the divergence scanner, set the lookback period for pattern identification, and toggle the display of divergence markers on the chart.
Alert Settings provide toggles for buy, sell, and extreme sell alert notifications.
Display Settings offer comprehensive control over visual elements including channel visibility, signal labels, information table position, ADX and RSI indicator bars, and adaptive level lines.
The ADX Bar and RSI Bar sections provide granular control over the color-coded indicator bars with customizable threshold levels and colors. Level and Channel Colors allow customization of entry level colors and line widths. Regime Shading settings control the channel fill colors for bull, bear, neutral, and contracted market states.
Twix Ninja - Supply & Demand + Kill Zones + ORB# TITLE OPTIONS
1. **Twix Ninja - Supply & Demand + Kill Zones + ORB**
2. **Twix Ninja - Smart Money Zones**
3. **Twix Ninja - Institutional Trading Suite**
4. **Twix Ninja - S/D Zones + Sessions + ORB**
5. **Twix Ninja - Complete ICT Trading System**
---
## RECOMMENDED TITLE:
**Twix Ninja - Supply & Demand + Kill Zones + ORB**
---
---
---
# DESCRIPTION
## 🥷 Twix Ninja - All-In-One Institutional Trading Suite
A powerful **3-in-1 indicator** combining Supply/Demand zones, Kill Zone sessions, and Opening Range Breakout (ORB) analysis for professional traders.
---
## 🔥 Three Powerful Systems In One
### 1️⃣ Real-Time Supply & Demand Zones
Automatically detects and draws institutional supply and demand zones with:
- **Strong vs Weak zone detection**
- **Retouch tracking** - See when zones are tested
- **Auto-removal** of broken zones
- **Touch count display**
- **Zone age filtering**
- Customizable sensitivity and colors
### 2️⃣ Kill Zone Sessions
Highlights the most volatile trading sessions where smart money is active:
- 🔵 **London Session** (2:00 - 5:00 UTC)
- 🔴 **New York Session** (12:00 - 15:00 UTC)
- 🟡 **Asia Session** (20:00 - 0:00 UTC)
- Fully customizable times
- Session high/low tracking
### 3️⃣ Opening Range Breakout (ORB)
Professional ORB system for day trading:
- **Auto-detects Opening Range** high, low, and mid
- **Breakout signals** when price breaks ORB levels
- **Target levels** - Up to 5 profit targets
- **Historical ORB display**
- Customizable session times and timezone
---
## ⚡ Key Features
✅ **All-in-one solution** - No need for multiple indicators
✅ **Clean visualization** - Non-cluttered chart display
✅ **Fully customizable** - Colors, times, sensitivity all adjustable
✅ **Multi-timeframe** - Works on any timeframe
✅ **Real-time updates** - Zones update as price moves
✅ **Smart filtering** - Remove weak zones automatically
✅ **Info dashboard** - Track zone statistics
---
## 📊 Dashboard Shows
- Active Supply Zones (with touch count)
- Active Demand Zones (with touch count)
- Broken Supply/Demand count
- Kill Zones ON/OFF status
- ORB ON/OFF status
- Current timeframe
---
## 🎯 How To Use
**For Supply/Demand:**
- Look for price entering green zones (demand) → BUY opportunity
- Look for price entering red zones (supply) → SELL opportunity
- Stronger zones = higher probability
**For Kill Zones:**
- Trade during highlighted sessions for best volatility
- London & NY overlap = highest volume
**For ORB:**
- Wait for Opening Range to form
- Trade breakouts above ORH (long) or below ORL (short)
- Use numbered targets for take profit levels
---
## 📈 Best Markets
- Forex (EUR/USD, GBP/USD, etc.)
- Indices (NAS100, SPX500, etc.)
- Crypto (BTC, ETH, SOL)
- Any liquid market
**Recommended Timeframes:** 1m, 5m, 15m, 1H
---
## ⚙️ Customization
- Zone sensitivity adjustment
- Weak zone filter toggle
- Session times (fully editable)
- ORB period and timezone
- All colors customizable
- Table position options
---
## ⚠️ Disclaimer
This indicator is a trading tool, not financial advice. Always manage your risk properly and never trade with money you cannot afford to lose.
---
## 🔑 Access
This is an **invite-only** indicator. Contact me for access details.
---
**Trade Smart, Trade Like a Ninja! 🥷**
Multi-Timeframe Trend AnalysisThis indicator is a comprehensive 6-timeframe trend analysis tool designed to provide traders with a bird's-eye view of market direction. By aggregating data across multiple intervals, it helps identify when the broader market sentiment is in alignment, reducing the risk of trading against the primary trend.
Warpath Structure + Liquidity Tool V5 (limited dash) Warpath v5 is designed to clean up your chart and surface only the key information needed to make educated trading decisions — not to tell you what trades to take. This version removes automated setup signals in favor of giving you the raw data to form your own bias.
If you prefer the full dashboard experience with Setup Bias and Trade Favor, v3 remains available.
What's New in v5:
Expanded HTF Liquidity Levels — Now pulls swing highs/lows and Equal Highs/Equal Lows from 1H, 4H, Daily, and Weekly timeframes. Touch count labels (2x, 3x) show how many times a level has been tested, helping you identify the most significant liquidity pools.
1M and 5M Bias Options — The HTF Bias Dashboard now supports 1-minute and 5-minute timeframes for scalpers and those who want granular confirmation alongside higher timeframe context.
Built-In EMA — Adds an 80 EMA (or any length you choose) directly on the chart with customizable color and width. Great for traders on the free plan looking to reduce indicator count.
Simplified Dashboards — Removed the Setup Bias dashboard and FAVOR row from the Positioning dashboard. What remains: clean trend bias across timeframes and objective positioning data (range %, VWAP deviation, volume, volatility).
Full Color Customization — Every section (structure labels, sweep zones, session levels, dashboards) can be tailored to your preference.
Core Features:
1. Market Structure Labels
Automatically plots HH / HL / LH / LL at pivot points on your current timeframe. Makes directional bias immediately obvious and helps prevent counter-trend entries during strong expansions.
2. Liquidity Sweep Detection
Identifies true liquidity sweeps using wick behavior — price pierces a level but closes back inside. Highlights the sweep wick and draws a swept-zone box extending forward to show where liquidity was grabbed. Designed to distinguish fuel from reversal.
3. Key Session Levels
Automatically plots:
Asian Session High / Low
London Session High / Low
NY Session High / Low
Previous Day High / Low
Smart label merging combines overlapping levels (e.g., "PDH/AsH") to reduce clutter.
4. HTF Liquidity Levels (Equal Highs/Lows + Swings)
Draws significant swing points and equal levels from 1H, 4H, Daily, and Weekly charts. Labels include touch count so you can see which levels have been tested multiple times — these are your highest-probability liquidity targets.
5. Multi-Timeframe Bias Dashboard
Displays trend bias for 1M, 5M, 15M, 1H, 4H, and Daily (user-selectable). Each timeframe score is calculated from:
EMA Stack (8/21/50 alignment)
Structure (HH/HL vs LH/LL)
Momentum (recent candle direction)
Shows confluence scores (e.g., "BULLS (4)") so you see signal strength, not just direction. Overall bias weights higher timeframes more heavily.
6. Trade Positioning Dashboard
Gives you objective context without telling you what to do:
Range Position: Where price sits within your selected range (Previous Session, Previous Day, or Weekly) as a percentage — Deep Discount, Discount, Equilibrium, Premium, Deep Premium.
VWAP Deviation: Distance from VWAP in standard deviations. Beyond ±1.5σ = meaningful extension. Beyond ±2σ = caution on continuation.
Volume: Relative volume vs 20-period average.
ATR: Current volatility vs recent average.
7. Alerts
Built-in alerts for:
Buy-side sweeps (highs taken)
Sell-side sweeps (lows taken)
Any sweep
Philosophy:
Warpath shows you structure, liquidity, and context. You decide what to do with it. The goal is fewer indicators, less noise, and more clarity — everything you need to analyze the chart on one overlay.Small tweaks made to security calls
[CyberPips] Trend and SignalsTrend and Signals Suite is a trend-following analysis indicator designed to help traders identify directional bias and potential market shifts.
The script combines:
• An adaptive ATR-based trend framework
• Optional signal filtering using volume, momentum, and volatility conditions
• Visual EMA cloud layers to provide trend alignment and pullback context
• Optional bar coloring for quick directional awareness
Signals generated by this indicator are intended for analytical and educational purposes only. They may update on the currently forming candle and should not be interpreted as guaranteed trade entries or financial advice.
This tool is designed to support discretionary decision-making and does not provide performance guarantees.
BK AK-Ghost Ladder⚔️ BK AK-Ghost Ladder — Smart Money Gaps. Living Support/Resistance. ⚔️
Most FVG tools draw boxes. Ghost Ladder runs an environment.
It detects imbalance, grades it, tracks how it behaves over time, and turns that into actionable structure: where the real boundaries are, which ones matter, and how price is interacting with them right now.
“Ghost Ladder” because the market moves on invisible rungs—thin liquidity pockets, defended boundaries, and imbalance steps that price climbs through… until it slips. This script is built to reveal those rungs before they punish you.
“AK” isn’t branding. It’s honor. My mentor A.K. drilled discipline, patience, and clarity into the process behind this tool.
Above all, glory to G-d—the true source of wisdom, strength, and endurance in this game.
Every edge, every lesson, every ounce of clarity comes from Him. I’m just doing the work and documenting what I’ve learned.
🧠 What It Does (Core System)
1) FVG Detection + Lifecycle Management (the skeleton)
Detects bullish & bearish Fair Value Gaps using clean 3-bar gap logic
Filters by ATR / % thresholds, with timeframe-adaptive settings
Manages each zone as an object with:
aging/expiration
optional reset on touch
overlap/proximity control
“keep strongest” logic when zones cluster
Result: fewer junk zones, cleaner battlefield.
2) Institutional Strength Score (0–100) + ★ Rating (the ranking)
Every zone gets scored and starred using confluence + behavior, including:
Volume vs average (optionally using lower-TF volume aggregation)
Gap size vs ATR
Pivot confluence
MTF alignment (extra timeframes)
Session weighting (Asia / London / NY / Overlap in EST)
Order block + imbalance confluence
VWAP proximity/extremes bonus
Fib alignment
Delta divergence detection
Clustering / consolidation bonus
Role reversal bonus when support flips to resistance (and confirms)
Result: zones aren’t equal—this tells you which ones deserve respect.
3) In-Zone Volume Profile + POC (the “what’s inside the box”)
For each zone, Ghost Ladder can build a lower-timeframe volume profile:
configurable bins (resolution)
POC line (most traded price inside the zone)
optional volume sum
optional volume delta display (buy/sell pressure)
Result: you’re not staring at a rectangle—you’re seeing whether the gap is thin, loaded, or defended.
4) Structure Intelligence + Role Logic (how zones behave)
Smart positioning modes: show all / hide wrong side / auto role flip
Tracks:
touches
breaks with confirmation
broken-zone persistence
reactivation on reversal (optional)
Result: support/resistance becomes behavioral, not cosmetic.
5) Adaptive Learning + Backtest Stats (accountability)
Zones are monitored when price interacts:
marks success vs failure based on movement away / violation thresholds
computes per-zone performance
feeds that into an adaptive weight
optional ML-style confidence badge when sample size is meaningful
Result: the script doesn’t just claim strength—it earns it.
6) Divergence + Alerts (decision triggers)
real-time divergence checks (RSI / OBV / ADX)
delta divergence logic at zones
alerts when something actually matters:
strong zones
magnetic pull into a level
divergence at a boundary
Result: less noise, more “wake me when it’s real.”
7) War Room Info Table (command view)
On the last bar, the table compresses the whole environment into:
zone counts (bull vs bear)
posture (near support / near resistance / above / below / neutral)
nearest S/R
bias
active session
risk
Result: instant context without guesswork.
🧭 How To Use It (Execution)
Pick the side you’re allowed to trade
Let ★★★★★ clusters + posture decide the bias. No bias = no trade.
Execute at boundaries, not in the middle
Zones are your map. Entries happen at the edge with defined risk.
Treat role flips like campaign territory
A broken zone that flips and confirms is often a higher-quality node than a fresh random gap.
Use divergence as a brake
Divergence at the level = reduce size, wait for confirmation, or stand down.
Let the filters remove your excuses
Tune distance filters, min stars, institutional gating, and session weighting to match your market + timeframe.
🛡 Why This Script Is Protected (Strategic + Legit)
This isn’t protected to hide “an FVG box.” The detection concept is known.
What’s being protected is the integrated system and scoring/optimization layer, including:
the multi-factor institutional scoring model
the adaptive performance weighting (reaction tracking → confidence)
the zone lifecycle + clustering/consolidation logic
the per-zone LTF volume profile + delta integration
the way these components interlock to reduce false positives and keep the output consistent
When you fuse multiple engines into one decision framework, copy-pasting pieces breaks the integrity, creates low-quality clones, and floods the platform with degraded versions that confuse traders. Protected source keeps:
the model consistent
updates maintainable
and the signal quality from being diluted by knockoffs
In war terms: the map is visible; the command doctrine is protected.
📜 Solomon’s Boundary
King Solomon warned:
“Do not remove the ancient boundary stone.”
Ghost Ladder is built to mark the real boundaries—where defense, absorption, traps, and reversals actually happen.
⚔️ BK AK-Ghost Ladder — Map the rungs. Respect the boundary. Execute with discipline.
May Gd bless your vision, your patience, and every decision you make at the edge. 🙏
Smart Structure SuiteSmart Structure Suite is an advanced market structure analysis indicator designed to provide clear structural context across multiple timeframes.
The indicator includes:
• Swing and internal market structure detection (BOS / CHoCH)
• Order blocks with volatility-based filtering
• Fair value gaps (FVG)
• Liquidity concepts such as equal highs/lows and liquidity grabs
• Premium, discount, and equilibrium zones based on active price ranges
• Optional higher-timeframe levels and trendlines
• Informational dashboard for directional bias and context
Multi-timeframe (MTF) analysis can be enabled optionally. When MTF is active, calculations may update on the currently forming candle, while historical values are based on confirmed data.
This script is intended for charting and educational purposes only. It does not provide trade signals, financial advice, or performance guarantees.
Trend Engine Pro (E+X+C)Trend Engine Pro (E+X+C)
Short Description
Trend Engine Pro is an institutional-grade trend system that combines early trend entries (E), smart exits on momentum exhaustion (X), and confirmed reversals (C).
Built with volatility-normalized momentum and state-machine logic, it helps traders enter trends early, manage risk efficiently, and avoid noise across all timeframes.
Key Signals
E (Early Entry): Enter trends when momentum and structure align
X (Exit): Exit on momentum exhaustion before trend breakdown
C (Confirmed): Confirm real trend reversals with persistence
Disclaimer:
This indicator is for educational and informational purposes only and does not constitute financial advice, investment recommendations, or an offer to buy or sell any financial instrument.
Trading involves risk, and past performance is not indicative of future results.
Always test strategies thoroughly and manage risk appropriately.
No repaint.
Works on all timeframes and assets.
4-SMA <Mikee>This is a simple modifiable 4 SMA (default on 20,50,100,200).
The script will switch to a daily ratio SMA for 1h to 24h time frames.
All others times frame (minutes, daily, weekly...) the SMAs will switch back to the normal SMA.
CVD Oscillator ToolkitGENERAL OVERVIEW:
The CVD Oscillator Toolkit is a volume-driven market analysis indicator designed to highlight buying and selling pressure that is not directly visible through price alone. Price shows where the market traded, but volume imbalance helps explain who was in control. This indicator is built around Cumulative Volume Delta (CVD) and its related measurements to separate aggressive buying from aggressive selling, highlight volume behavior that develops independently of price movement, and expose divergence between price action and underlying volume imbalance behavior. Signals are derived from normalized and smoothed volume data rather than simple price-based conditions.
Unlike raw CVD plots, which often drift endlessly and become difficult to interpret across different symbols or sessions, the CVD Oscillator Toolkit normalizes and structures volume data into a stable oscillator format. This allows volume behavior to remain readable and comparable across different market conditions and instruments, without being distorted by session length or cumulative drift.
This indicator was developed by Flux Charts in collaboration with Chris Drysdale (Trader Drysdale), author of the best-selling book VWAP Wave System.
WHAT IS THE THEORY BEHIND THIS INDICATOR?:
The indicator is built on the idea price movement is driven by imbalance, not by candles alone. Every candle represents an interaction between buyers and sellers. While the direction of the candle shows which side gained ground, volume reveals the intensity of that effort.
The CVD Oscillator Toolkit reconstructs this interaction by estimating buying and selling pressure on each bar, accumulating that imbalance over time, and then normalizing the result so volume behavior can be compared meaningfully across different symbols, sessions, and timeframes. This volume behavior is further structured into directional, momentum, and divergence components, allowing buying and selling pressure to be analyzed from multiple perspectives.
Rather than treating volume as a secondary confirmation, the toolkit treats volume delta as the primary source of information, with price acting as a contextual reference. This approach is particularly useful in market conditions where price alone can be misleading. For example, during consolidations where volume pressure may be building beneath the surface, during extensions where price continues to make new highs or lows while buying or selling pressure weakens, or during breakouts that lack sustained volume support.
In many cases, shifts in buying and selling pressure can become visible through volume behavior before the price structure visibly updates. The indicator is designed to surface those changes without attempting to predict outcomes, allowing traders to interpret volume dynamics alongside their own price-based analysis.
CVD OSCILLATOR TOOLKIT FEATURES:
The CVD Oscillator Toolkit indicator includes 10 main features:
Delta Volume & CVD Core Engine
Normalized CVD Oscillator with Adaptive Coloring
CVD Cloud, Edges, Highlight Candles & Bands
Signals
CVD Divergence
Flow Behavior
Rate of Change (ROC) Momentum Meter
Advanced Visualization & Theme System
Input Settings
Alerts
DELTA VOLUME & CVD CORE ENGINE:
This feature forms the foundation of the entire indicator.
🔹Cumulative Volume Delta (CVD):
CVD is a measure of net buying and selling volume over time. It is built by estimating whether each candle’s traded volume was driven primarily by buyers or sellers, and then accumulating that imbalance across consecutive bars. When buy-dominant volume exceeds sell-dominant volume, CVD rises. When sell-dominant volume exceeds buy-dominant volume, CVD falls. Because TradingView does not provide true bid/ask volume data, the indicator infers participation (buyer vs seller activity) using price behavior within each bar. Each candle is evaluated to determine directional intent. Bars that close higher than they open, or otherwise show upward intent, are treated as buy-dominant, while bars that close lower, or show downward intent, are treated as sell-dominant. The candle's volume is then assigned a positive value when buy pressure dominates and a negative value when sell pressure dominates. By accumulating this signed volume, the engine produces a continuous measure of who is applying pressure, independent of candle size or price range. This allows delta volume strength to be analyzed separately from price movement itself. Throughout this indicator, “volume pressure” refers to the net effect of delta volume over time.
🔹How to interpret CVD
When CVD is rising, buying pressure is more aggressive than selling pressure. When CVD is falling, sellers are exerting greater control. Flat or sideways CVD behavior indicates balanced or uncertain buyer vs seller activity, where neither side is clearly dominant. One of the most important insights provided by CVD is its relationship to price. Price can continue rising even while CVD declines, suggesting weakening buying pressure and potential distribution. Conversely, price can fall while CVD rises, indicating absorption (where selling pressure is being met by opposing buy orders, limiting downside progress despite continued activity). These situations often reveal information that price alone does not clearly communicate. For this reason, CVD is especially useful during consolidations, false breakouts, liquidity sweeps, and late-stage trend conditions, where price action may appear convincing while delta volume tells a different story.
🔹Long-term vs short-term Volume calculation modes
The indicator supports two volume perspectives. In long-term accumulation mode, delta volume is accumulated continuously, providing a broader view of sustained buyer and seller control across sessions or trends. In short-term rolling window mode, delta volume is summed over a fixed rolling window to emphasize local momentum and short-term shifts in buying and selling pressure. Together, these modes allow the same core engine to be used for higher-timeframe bias analysis as well as intraday momentum and reversal observation, without changing the underlying logic.
🔹How is it calculated?
Each candle's volume is first evaluated based on price behavior to determine whether it is buy-weighted or sell-weighted. That signed volume is then processed in one of two ways, depending on the selected volume calculation mode. In long-term mode, delta volume is accumulated continuously to reflect a broader market pressure over time. In short-term mode, delta volume is summed over a rolling window to emphasize local momentum and shorter-horizon shifts. The resulting series forms the raw CVD, which is then used for normalization, smoothing, and signal generation. All calculations rely only on confirmed historical bars, ensuring consistency and non-repainting behavior.
🔹Delta Volume Histogram
In addition to the cumulative CVD calculation, the indicator includes an optional Delta Volume Histogram that displays raw buy/sell imbalance on a per-bar basis. This view highlights short-term volume bursts that may not be immediately reflected in cumulative behavior, such as sudden spikes in buying or selling pressure, absorption events, or volume surges that fail to produce meaningful price movement. Because raw delta volume can be noisy and highly sensitive to short-term fluctuations, the histogram is visually muted by default.
NORMALIZED CVD OSCILLATOR:
🔹What is normalization?
Normalization is the process of rescaling data so it can be interpreted consistently over time. In this indicator, normalization transforms accumulated volume delta into a stable oscillator that remains readable across different sessions, symbols, and market conditions.
🔹CVD normalization modes (Adaptive vs Relative)
The accumulated delta is normalized to create a stable, interpretable oscillator. This process reshapes volume pressure so it can be compared consistently over time, without changing how delta volume itself is calculated. In Adaptive mode, normalization responds to recent behavior, allowing the oscillator to self-scale as volatility and market conditions change. This keeps the reading responsive and readable across shifting environments. In Relative mode, normalization compares current CVD against a fixed historical reference, preserving proportional relationships in volume behavior and making extremes easier to compare over longer structural moves.
Normalization affects how CVD is interpreted and visualized, not how delta volume is calculated. In both modes, the same underlying volume logic is used; only the framing and scaling of that data changes.
The CVD Oscillator Toolkit presents normalized volume behavior as a bounded oscillator that preserves directional intent while preventing cumulative drift. Rather than emphasizing the absolute size of volume imbalance, the oscillator focuses on where current buying and selling pressure stands relative to recent behavior. This structure keeps volume pressure interpretable across different market conditions, allowing the oscillator to remain comparable across assets and timeframes.
🔹How to interpret the normalized CVD Oscillator
The oscillator revolves around a central equilibrium level, represented by the zero line. When the oscillator is above zero, net buying pressure dominates. When it is below zero, net selling pressure dominates. Transitions across the zero line indicate a shift in volume control rather than a price-based event. The depth of the oscillator's movement provides additional context. Shallow oscillations reflect weak or hesitant order-flow pressure, while deeper extensions suggest stronger conviction from one side of the market. Periods where the oscillator compresses near the zero line often indicate balance, absorption, or indecision between buyers and sellers. Because the oscillator is smoothed, it emphasizes sustained volume behavior rather than reacting to single-bar fluctuations or short-lived volume spikes.
🔹How is it calculated?
Raw Cumulative Volume Delta is first evaluated over a configurable lookback window to establish recent volume pressure behavior. A momentum-based normalization process is then applied to compress extreme values, preventing the oscillator from drifting or becoming distorted during high-volume periods. To further refine the signal, multiple smoothing passes are used to reduce noise while still preserving meaningful directional turns. The result is a stable oscillator centered around zero, designed to behave consistently across different symbols, sessions, and timeframes. This structure avoids infinite drift, minimizes session bias, and allows volume pressure dynamics to remain comparable across instruments without relying on fixed thresholds.
🔹Adaptive Coloring & Directional Gradients
The oscillator is not plotted as a static line or a simple histogram. Instead, it uses adaptive coloring to communicate both direction and intensity of volume pressure through visual cues. Rather than relying on binary green/red coloring, the indicator applies smooth gradient transitions, strength-weighted opacity, and direction-aware color logic to reflect how volume pressure evolves. This visual design allows changes in volume behavior, such as acceleration, deceleration, or momentum fatigue, to be identified quickly without requiring precise numerical interpretation. Color intensity increases as pressure strengthens and fades as pressure weakens, helping maintain situational awareness even during fast-moving conditions.
🔹How to interpret the coloring
The oscillator uses momentum-based coloring to reflect changes in volume pressure strength and direction. Colors respond to acceleration and deceleration in volume pressure rather than simple position alone. Brighter, more saturated colors indicate stronger momentum and expanding buying or selling pressure, while muted or fading colors reflect slowing momentum and weakening pressure. The coloring does not generate signals and should be read as visual context that complements the oscillator’s structure, helping identify momentum shifts, continuation, and exhaustion at a glance.
CVD EDGES, CLOUDS & HIGHLIGHT CANDLES:
🔹CVD Edges
This feature adds a thin directional outline around the oscillator body, designed to emphasize the current directional volume bias without overpowering the main visual structure. The edge acts as a subtle visual guide, reinforcing directional dominance while keeping the focus on the oscillator itself. By separating the outline from the oscillator's fill or columns, CVD Edges make directional bias easier to identify at a glance, particularly in situations where histogram columns overlap or visual density increases. This feature is intended to enhance readability and orientation, not to introduce additional signals or conditions.
🔹CVD Clouds
CVD Clouds add a soft envelope above and below the oscillator to provide visual context around volume behavior. These clouds represent upper and lower volume pressure zones derived from the oscillator, helping frame how volume pressure expands or contracts around the core signal. When the cloud expands, it reflects increasing volume commitment and stronger involvement from one side of the market. When the cloud compresses, it indicates diminishing conviction and reduced pressure intensity. A flip in the cloud structure reflects a change in volume control rather than a price-based event. CVD Clouds are designed to provide context, not signals. They help answer a simple but important question: Is the current move supported by volume effort, or is pressure fading beneath the surface?
🔹Highlight Candles
Instead of rendering the oscillator as a simple line or histogram, this feature displays it using candle-style bodies. Each oscillator candle visually represents the underlying volume behavior, conveying direction, strength, and momentum continuity in a format that closely resembles price action. Larger candle bodies indicate stronger and more sustained volume pressure, while smaller bodies reflect indecision, balance, or transitional phases. Sequences of candles with consistent coloring help visualize directional continuity in pressure flow, making it easier to distinguish persistent pressure from short-lived fluctuations.
🔹Upper / Lower Bands
The Upper and Lower Bands are simple visual background guides drawn above and below the oscillator. They do not generate signals, thresholds, or analytical conditions. Their only purpose is to make the current CVD state easier to read at a glance. When the oscillator is above zero, the upper band is highlighted to reflect bullish volume pressure. When it is below zero, the lower band is highlighted to reflect bearish volume pressure. The inactive side remains muted. These bands do not represent overbought or oversold conditions and should not be used for entries or exits. They exist purely to improve orientation and reduce visual effort when reading the oscillator.
SIGNALS:
The indicator includes an optional signal system designed to respond to changes in volume pressure, rather than relying solely on price-based conditions such as moving-average crossovers. Signals are generated based on defined CVD behavior and volume flow logic, allowing volume dynamics to be evaluated directly instead of inferred from price alone. Signals can be displayed directly within the oscillator pane, overlaid on the main price chart, or shown in both locations simultaneously. In this indicator, directional momentum refers to the direction and slope of the normalized CVD oscillator itself, not price momentum. A change in directional momentum occurs when the CVD oscillator shifts from rising to falling, or from falling to rising.
🔹Signal modes
The indicator supports two independent signal philosophies, selectable by the user. Each mode interprets volume pressure changes differently and is suited to different market conditions.
◇ Zero-Line State Shifts
In this mode, signals are generated when the normalized CVD oscillator crosses its central equilibrium level. A cross above the zero line represents a transition from net selling pressure to net buying pressure, while a cross below zero represents a transition from net buying pressure to net selling pressure. From an interpretive standpoint, a bullish signal indicates that buying volume pressure has become dominant, while a bearish signal indicates that selling volume pressure has taken control. These signals are most useful during transitions in market behavior, such as when markets move from consolidation into expansion or when price structure begins to compress ahead of a directional move. Rather than reacting to price structure alone, this mode highlights shifts in buying and selling pressure derived directly from volume behavior
◇ Directional Momentum & Thresholds
Instead of waiting for the CVD oscillator to cross the zero line, this mode generates signals when there is a switch in directional momentum. A directional switch occurs when the CVD oscillator’s momentum has been moving in one direction and then turns to move in the opposite direction. Every signal in this mode begins with a confirmed change in direction. Because directional momentum can flip frequently, especially during ranging or low-conviction conditions, this mode incorporates user-defined thresholds to control which direction changes are allowed to generate signals. The thresholds act as a filter, ensuring that only momentum reversals occurring from a sufficient depth are considered, while shallow or minor flips are ignored.
🔹How it works:
For a bullish signal to be generated, two conditions must be met. First, the CVD oscillator must be below the user-defined bullish threshold. Second, directional momentum must switch from downward to upward. Only when both conditions occur together is a bullish signal produced. If momentum turns upward while the oscillator is above the bullish threshold, no signal is generated. The same logic applies on the bearish side. A bearish signal requires the oscillator to be above the bearish threshold and directional momentum to switch from upward to downward. Momentum reversals that occur closer to equilibrium are filtered out.
🔹How to interpret signals
A bullish signal below zero indicates that directional momentum has switched from bearish to bullish and that the reversal occurred below the bullish threshold. A bearish signal above zero indicates that directional momentum has switched from bullish to bearish and that the reversal occurred above the bearish threshold. In both cases, the signal simply means that direction changed and the threshold filter was satisfied. The mode does not attempt to predict outcomes or replace price-based confirmation, but instead highlights filtered momentum shifts in volume behavior.
CVD DIVERGENCE:
The divergence detection feature identifies situations where price continues to push toward new extremes while volume pressure weakens or moves in the opposite direction. This behavior often reflects absorption, distribution, or exhaustion that is not immediately obvious from price action alone.
🔹Types of divergences
Bearish divergence occurs when the price pushes higher, but CVD fails to confirm the move or forms a lower high, indicating weakening buying pressure behind the advance. Bullish divergence occurs when price pushes lower while CVD fails to confirm or forms a higher low, suggesting that selling pressure is losing strength. Divergences are evaluated only near meaningful swing points and after confirmation. This filtering helps reduce noise and avoids highlighting minor or premature divergence conditions.
🔹How to interpret divergences
Divergences can indicate that momentum may be weakening, control between buyers and sellers may be shifting, or that the risk–reward profile of the current move is changing. Divergences provide insight into underlying volume behavior but do not replace confirmation from price.
🔹Swing reference source
The indicator allows divergence detection to be anchored to either volume structure (CVD swings) or price structure (price swings). This distinction matters because CVD and price often pivot at different times. Anchoring divergences to the wrong structure can produce misleading results. By allowing the user to choose the reference source, the divergence system adapts more effectively to trending conditions, mean-reverting environments, and periods of elevated volatility.
🔹How divergences are calculated
The indicator identifies significant swing points and compares the relationship between price behavior and CVD behavior at those locations. Divergence conditions are validated before being displayed, and only confirmed divergences are plotted. To prevent clutter, only the most recent divergences are shown on the chart. Older divergence markings are automatically removed as new ones form.
🔹Main chart synchronization
The indicator allows divergences and signals to be displayed either within the oscillator pane or directly on the main price chart. Using the oscillator-only view is well-suited for volume behavior analysis and directional bias, while displaying signals and divergences on the main chart provides a clearer execution context alongside price structure. This ensures that volume insights can be adapted to different workflows without changing the underlying logic.
FLOW BEHAVIOR:
This feature group highlights situations where price behavior and CVD behavior begin to separate, without relying on traditional swing-point divergence logic.
🔹Absorption
Absorption highlights candles where price continues to advance or decline while CVD pressure moves against that direction. In simple terms, absorption reflects situations where aggressive buying or selling is being met and absorbed by opposing volume, preventing volume pressure from confirming the price move.
This behavior often appears:
During late-stage trends
Near range boundaries
Around liquidity-driven extensions
Absorption highlights do not predict reversals. They provide context when volume pressure is no longer aligned with price movement. Absorption is identified through disagreement between price progression and CVD behavior, not by raw volume spikes alone.
🔹Directional Divergence
Directional Divergence identifies moments where price continues to extend in one direction while CVD momentum shifts or weakens in the opposite direction. Unlike classic divergence tools, this behavior does not require confirmed swing highs or lows. It focuses purely on directional disagreement between price and volume pressure, allowing early detection of weakening moves or hidden opposition beneath continued price expansion. Directional Divergence focuses on ongoing disagreement without swing confirmation, while CVD Divergence evaluates confirmed swing-based divergence.
🔹Directional Anchor Price
An optional directional anchor line can be plotted to mark the price level at the bar where CVD last changed direction. This level serves as a visual reference, allowing traders to observe how the price behaves after a shift in the underlying CVD direction, without introducing new signals or conditions. These tools are designed to complement the core oscillator by visually exposing price–volume disagreement.
RATE OF CHANGE (ROC) MOMENTUM METER:
The Rate of Change (ROC) Momentum Meter measures how quickly the CVD oscillator itself is accelerating or decelerating. While the oscillator describes directional volume pressure, the ROC Meter focuses on a different dimension: whether volume pressure is gaining speed or losing momentum. This distinction is important because directional pressure and momentum strength do not always change at the same time. Trends can lose momentum without immediately reversing direction, and volume shifts often begin with changes in acceleration rather than visible price structure breaks. The ROC Meter is designed to surface those changes in volume momentum without replacing the oscillator's directional context.
🔹How to interpret the ROC Meter
The ROC Meter is displayed as a vertical gradient bar positioned alongside the oscillator pane. It is intentionally placed in the periphery to provide continuous momentum awareness without interfering with price action or the oscillator itself. A dynamic label marks the current ROC position, allowing quick reference without drawing focus away from the main analysis. When the ROC reading is positioned higher on the meter, volume acceleration is stronger. When it is positioned lower, acceleration is weaker. Readings near the center indicate balanced conditions. Sustained high ROC readings often accompany strong trends, reflecting continued acceleration in volume pressure. As momentum fades, ROC readings contract, indicating slowing acceleration even if directional pressure has not yet reversed.
🔹How ROC is calculated
The oscillator's rate of change is measured over a short lookback period and then normalized to prevent extreme spikes. The resulting values are mapped to a bounded vertical scale, ensuring the meter remains stable, comparable across assets, and resistant to distortion during periods of elevated volatility.
COLOR THEMES & VISUAL ADAPTABILITY:
The indicator includes multiple built-in color themes. Themes can be adjusted to suit dark or light chart backgrounds, varying screen brightness levels, and long trading sessions where visual comfort becomes important. Each theme affects key visual elements such as bullish and bearish colors, gradient intensity, cloud opacity, and overall contrast.
Users can choose between the following color themes:
Default
Bright
Sunset
Aqua
🔹MODULAR VISUAL CONTROLS
Every major visual component of the indicator can be enabled or disabled independently, allowing users to tailor the display to their preferred workflow and level of detail. This includes elements such as the delta histogram, oscillator columns, highlight candles, edges, clouds, upper / lower bands, the ROC Momentum Meter, and threshold reference lines.
INPUTS:
🔹CVD Normalization Mode
Selects how CVD is normalized into the oscillator: Adaptive adjusts dynamically to recent behavior, while Relative emphasizes volume pressure relative to recent extremes.
🔹Volume Calculation
Long-term mode accumulates volume pressure continuously for broader bias and structure.
Short-term mode uses a rolling window to emphasize local momentum and intraday shifts.
🔹 Delta Volume Display
The Delta Volume Histogram toggles the display of per-bar buy and sell imbalance to provide more granular insight into short-term volume behavior. Bullish and bearish delta colors can be customized to improve visibility and contrast based on personal preference or chart theme.
🔹 CVD Oscillator Display
These settings control how the normalized CVD oscillator is displayed. CVD Columns enable or disable the main oscillator body, while Adaptive Coloring automatically adjusts colors based on direction and volume strength. Color Themes provide preset visual styles designed for different lighting conditions and extended viewing sessions.
🔹 Visual Enhancements
◇ CVD Highlight Candles
Displays oscillator movement using candle-style bodies for intuitive reading.
◇ CVD Edges
Thin outlines that emphasize directional volume bias.
◇ CVD Cloud
Shows volume envelopes and expansion or contraction in volume pressure.
◇ Upper / Lower Bands
Provides directional background context relative to equilibrium.
🔹 Rate of Change (ROC) Meter
The ROC Meter toggle enables the vertical ROC Momentum Meter, and the ROC Color option allows users to select the meter’s color to suit visibility and chart contrast.
🔹 Flow Behavior
Controls visual cues that highlight price and CVD behavior when direction and volume pressure begin to diverge.
◇ Highlight Absorption Candles
Marks candles where price continues to move while CVD pressure shifts in the opposite direction, indicating potential absorption of aggressive buying or selling.
◇ Main Chart
Displays absorption highlights directly on the main price chart for execution-focused workflows.
◇ Directional Divergence
Highlights directional disagreement between price movement and CVD momentum without requiring traditional swing-point divergence.
🔹 Divergences
Controls divergence detection and display.
◇ Enable Divergences
Master toggle for all divergence logic.
◇ Display Location
Divergences can be shown in the oscillator pane, on the main chart, or both.
◇ Swing Reference Source
Anchor divergence detection to either CVD structure or price structure.
◇ Swing Length
Adjusts divergence sensitivity. Shorter lengths increase frequency and noise, while longer lengths produce fewer, more selective divergences.
◇ Plot Directional Anchor Price
Plots the price level where CVD last changed direction, providing a visual reference to observe how price behaves after a CVD directional shift.
🔹 Signals
Controls signal generation and display.
◇ Enable Signals
Turns signal logic on or off.
◇ Signal Display Location
Signals can be shown in the oscillator pane, on the main price chart, or both.
◇ Signal Logic Mode
Choose between zero-line state shifts or directional momentum thresholds.
◇ Threshold Visibility
Optional dashed reference levels for transparency when using threshold-based signals.
ALERTS:
The CVD Oscillator Toolkit includes full alert functionality using AnyAlert(), allowing users to receive notifications in real time for all major model components and signal events.
Users can enable or disable each alert type in the “Alerts” section of the settings. After selecting which alerts they want active, they can create a single TradingView alert using the AnyAlert() condition. All alerts are triggered only after confirmation, not on provisional or forming conditions.
Available Alerts:
Bullish Crossover
Bearish Crossover
Bullish Divergence
Bearish Divergence
How to Receive Alerts:
Open the TradingView alert creation window.
Select the CVD Oscillator Toolkit indicator as the alert condition.
Choose AnyAlert() from the condition dropdown.
Create the alert.
UNIQUENESS:
The CVD Oscillator Toolkit focuses on identifying volume-driven behavior rather than simply plotting cumulative volume. In addition to normalized CVD, it highlights absorption candles, directional divergences, directional anchor price levels, and a Rate of Change (ROC) momentum meter that tracks acceleration and deceleration in volume pressure. Together, these components expose situations where price continues in one direction while volume pressure weakens, stalls, or reverses beneath the surface. The toolkit emphasizes interpretation over signal quantity, structuring volume behavior into momentum, divergence, and flow-based components that complement price analysis without attempting to replace it.
Institutional Flow Suite v1.0 Institutional Flow Suite v1.0 ― 説明文
Institutional Flow Suite v1.0 は、Smart Money Concepts（SMC）および ICT 理論をベースに、
機関投資家の注文フロー・流動性・市場構造を視覚的に分析するためのオーバーレイ型インジケーターです。
本インジケーターは、トレンド方向・出来高・セッション情報を組み合わせることで、
裁量トレードにおける「環境認識」と「エントリー判断」をサポートします。
🔹 主な機能
■ Order Block（OB）表示
連続した反対足からの反転と出来高増加を条件に、
注文が集中しやすい価格帯（Order Block）を自動検出・ゾーン表示。
■ Fair Value Gap（FVG）
3本足構造による価格ギャップを検出し、
価格の戻り・反応ポイントの目安として表示。
■ Liquidity（流動性プール）
直近高値・安値を基準に、
ストップロスが集まりやすい流動性ゾーンを可視化。
■ Market Structure（CHoCH）
ピボット構造を用いて、
トレンド転換（Change of Character）を検出・表示。
■ セッション分析（ICT）
Asian Range のボックス表示
London / New York Kill Zone を背景色で表示（タイムゾーン対応）
■ トレンド・フィルター
EMA（20 / 50 / 200）
VWAP
出来高スパイク（Volume Surge）判定
■ ダッシュボード（右上）
トレンド方向
VWAP位置
出来高状態
セッション状況
OBの有無
を一目で確認可能。
🔹 想定マーケット
FX（為替）
日本株・米国株
ゴールド・指数・暗号資産
※時間足・銘柄を問わず使用可能です。
⚠ 注意事項
本インジケーターは投資助言を目的としたものではありません。
売買判断はご自身の責任で行ってください。
必ずリスク管理を行い、他の分析手法と併用することを推奨します。
✔ こんな方におすすめ
Smart Money / ICT ベースの分析をチャート上で整理したい方
Order Block・FVG・Liquidity を一つのツールで確認したい方
裁量トレードの環境認識を効率化したい方
Liquidity & Structure Liquidity & Structure Suite – Pro is an advanced market analysis indicator designed to visualize institutional trading behavior through liquidity, structure, and time-based concepts.
This indicator integrates key professional trading frameworks such as:
Order Blocks to highlight areas of institutional buying and selling
Fair Value Gaps (FVG) to identify price inefficiencies
Market Structure & CHoCH to detect trend shifts and structural breaks
Liquidity Pools around equal highs/lows and stop-hunt zones
Session Analysis including Asian range and London / New York kill zones
VWAP & Volume filters to assess fair price and participation strength
A built-in dashboard panel summarizes the current market state at a glance, helping traders quickly determine whether conditions favor buying, selling, or waiting.
This tool is designed for:
FX
Indices
Commodities (including Gold)
Crypto
Liquidity & Structure Suite – Pro does not predict the market.
Instead, it provides a clear framework to understand where institutions are likely active and how price reacts around key levels — supporting more disciplined, rule-based decision making.
Best suited for traders who focus on:
Smart Money Concepts (SMC / ICT)
Liquidity-based trading
Structure-driven entries and exits
Asia & London Session High / Low (CT) BY Grid & Grit ChartingThis indicator draws Asia and London session highs/lows in Central Time (CT) and optionally shades each session with a box, so you can see where overnight liquidity was built and then carried forward into NY. In the settings, you can toggle Show Asia Session and Show London Session to enable/disable each session’s tracking and plotting entirely. For each session you can customize the High/Low line colors (Asia High Color / Asia Low Color, London High Color / London Low Color), the line width (Asia Line Width, London Line Width), and the line style (Solid/Dashed/Dotted) so you can visually prioritize London over Asia if you want. The session times are adjustable via Asia Session (CT) (default 6:00 PM–2:00 AM CT) and London Session (CT) (default 2:00 AM–8:00 AM CT). The Show Session Boxes toggle controls whether a translucent box is drawn only during each active session; box appearance is controlled by Asia Box Color and London Box Color (these colors already include opacity, so you can make them faint or more visible). The Show Labels toggle controls whether “Asia H/L” and “London H/L” labels are printed at session end; label text color is controlled by Label Text Color. Mechanically: during each session the script continuously updates that session’s running high/low; when the session ends, it draws fresh horizontal lines that extend to the right (carry forward) and it deletes the prior session’s lines/labels to prevent clutter, while boxes stop at the session end so NY stays clean.
Crandall SwingThe Crandall Swing indicator is designed for swing-trading using a Parabolic Stop and Reverse (PSAR) trading technique. It also provides additional insight below the price to provide more context behind potential short-term trend movements.
How to Use
• Buy Signal: Likely appears when the price of the first green candle opens above the PSAR (blue).
• Sell Signal: Likely appears when the price of the first candle opens below the PSAR.
• Bars Below: Represent the difference between price and PSAR values (price-PSAR). Thus, positive upward pointing bars generally represent uptrends, and negative downward pointing bars represent downtrends.
• Yellow Line: Rate of change of the difference. (velocity)
• Green Line: The acceleration of the difference. (acceleration)
• For all upward pointing bars the following apply in theory, not guaranteed reality :
• Positive velocity + positive acceleration = buy signal
• Positive velocity + negative acceleration = trend price peak
• Negative velocity + positive acceleration = fierce downward trend
• Negative velocity + negative acceleration = price floor.
• FYI: Trading below the SMA200 (purple line) may be more risky, as prices below the SMA200 generally hint at a bear market.
Note: This indicator neither gives financial advice nor does it guarantee investment success. Invest at your own discretion.
Super DCA (DEMO)Spot Trading Signal Indicator with Priority-Based DCA Strategy
This indicator is designed for spot trading with a Dollar Cost Averaging (DCA) approach. It generates buy signals with 5 priority levels, allowing you to build your position gradually with multiple orders.
TTS Trading Sniper Body EngulfingWhat this indicator does
The Trading Sniper Body Engulfing Indicator automatically identifies true bullish and bearish engulfing candles using body size measured in ticks — wicks are completely ignored.
This removes guessing when candles are tight or overlapping and highlights only high-quality engulfing candles.
follow THE_TRADING_SNIPER
