ABG Basket Radarsimple currency basket lines where you can see what currency is stronger and what currency is weaker.
its all custom formula baskets and not just usd pairs.
Volatilitas
Smart Money Structure | GainzAlgo📊 OVERVIEW:
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Smart Money Structure Analysis is a professional-grade market structure and order-flow system designed to identify institutional trading behavior through volatility-adaptive logic, multi-timeframe trend alignment, and volume-based confirmation.
This indicator implements original mathematical models to detect Change of Character (CHoCH), Break of Structure (BOS), cumulative volume dynamics, and trend convergence across seven timeframes — delivering high-probability trade signals with significantly reduced noise.
Unlike basic indicator combinations, this system functions as a unified trading framework, where volatility adaptation, structure analysis, and volume confirmation continuously reinforce each other to provide precise, context-aware signals.
⭐ WHY THIS SYSTEM IS UNIQUE AND WORTHY OF PUBLICATION:
=====================================================
This is not a collection of common indicators placed together.
Smart Money Structure Analysis represents a cohesive institutional methodology, engineered so that:
- Volatility adjusts signal sensitivity in real time
- Multi-timeframe trends define directional bias
- Market structure determines timing
- Volume confirms institutional participation
- Advanced filters eliminate low-quality setups
Each component is mathematically linked to the others, creating a workflow that cannot be replicated by stacking separate indicators.
🔗 SYNERGISTIC INTEGRATION – HOW THE SYSTEM WORKS TOGETHER:
==========================================================
🧠 1. CONTEXT-AWARE VOLATILITY ADAPTATION
ATR-based volatility logic dynamically adjusts all momentum thresholds:
- Higher volatility → stronger confirmation required
- Lower volatility → sensitivity increases to capture valid moves
This prevents over-signaling in choppy markets and under-signaling during expansion phases — a core flaw in static indicators.
📐 2. MULTI-TIMEFRAME TREND CONVERGENCE ENGINE
Seven timeframes are analyzed simultaneously:
1M • 5M • 15M • 30M • 1H • 4H • 1D
Each timeframe is scored using EMA + VWAP alignment, producing a composite Trend Strength Score from -100 to +100.
The stronger the alignment across timeframes, the higher the probability of continuation — instantly visible through the real-time dashboard.
🏗️ 3. INSTITUTIONAL MARKET STRUCTURE (CHoCH & BOS)
The system automatically identifies the two core smart money concepts:
- CHoCH (Change of Character):
Signals potential trend exhaustion or reversal zones
- BOS (Break of Structure):
Confirms trend continuation and institutional commitment
Structure zones are visualized with persistent, color-coded levels and clouds, providing precise contextual timing rather than lagging signals.
📊 4. CUMULATIVE VOLUME DELTA (CVD) CONFIRMATION
CVD tracks the cumulative difference between buying and selling pressure:
- Rising CVD → accumulation
- Falling CVD → distribution
- Divergence vs price → early reversal warning
Volume participation is categorized into Low / Medium / High, adding depth beyond simple volume bars.
🛡️ 5. SIX-LAYER PROFESSIONAL SIGNAL FILTERING
Every signal must pass through up to six independent confirmation layers:
1. Volatility-adjusted momentum
2. Higher timeframe trend alignment
3. Lower timeframe conflict prevention
4. Institutional volume confirmation
5. Structural breakout validation
6. Repeated-signal restriction
This dramatically reduces false positives while preserving only high-quality institutional setups.
🧮 DETAILED CORE SYSTEMS:
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📏 ADAPTIVE MOMENTUM FORMULA
- Momentum Threshold = Base × (1 + (ATR ÷ Price) × 2)
- Pre-Momentum Factor = Base × (1 − (ATR ÷ Price) × 0.5)
📊 TREND STRENGTH CALCULATION
- Trend Strength = (Sum of 7 timeframe scores ÷ 7) × 100
📦 CVD LOGIC
- Close > Previous Close → Buy volume added
- Close < Previous Close → Sell volume subtracted
- Cumulative sum reveals institutional intent
🧠 STRUCTURE DETECTION
- Pivot-based swing logic
- Candle confirmation
- Configurable lookback periods
- Non-repainting visualization
🧩 ADVANCED ANALYSIS TOOLS:
==========================
🧲 LIQUIDITY ZONE DETECTION
Identifies probable retail stop-loss clusters where institutions often initiate stop hunts before true directional moves.
📦 MARKET PROFILE & ORDER FLOW IMBALANCE
Detects buy/sell dominance using volume ratios, highlighting accumulation and distribution zones before large price moves.
🔄 RSI DIVERGENCE SCANNER
Identifies bullish and bearish divergences that frequently precede structure shifts and trend reversals.
🎨 VISUAL SYSTEM & DASHBOARD:
============================
📊 SMART MONEY MATRIX
- Composite trend strength
- System confidence %
- CVD value
- Directional grid for all timeframes
📈 TREND PREDICTION MATRIX (Optional)
Forecasts short-term directional bias using trend, momentum, and volatility data.
🏷️ SIGNAL LABELS
- BUY / SELL → Fully confirmed entries
- READY → Momentum building
- BOS / CHoCH → Structure events
- FLOW / LIQ / BULL / BEAR → Advanced confirmations
⚙️ CORE FEATURES:
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1. Multi-Timeframe Trend Convergence
2. Smart Money Structure Detection (CHoCH & BOS)
3. Adaptive Volatility-Based Momentum
4. Cumulative Volume Delta (CVD)
5. Six-Layer Signal Filtering
6. Liquidity Zone Detection
7. Order Flow & Market Profile Analysis
8. Divergence Scanner
9. Dynamic Trendlines
10. Institutional-Grade Dashboard
📘 WHO THIS INDICATOR IS FOR:
============================
- Scalpers: Noise-filtered precision on lower timeframes
- Day Traders: High-probability continuation setups
- Swing Traders: Multi-timeframe alignment & structure zones
- Reversal Traders: Divergence + CHoCH confirmation
⚠️ IMPORTANT DISCLAIMER:
========================
This indicator is a technical analysis and educational tool only.
It does not provide financial advice or trade recommendations.
Trading involves substantial risk, and losses are a natural part of trading.
Past performance does not guarantee future results.
All trading decisions remain the sole responsibility of the user.
Market Regime: Squeeze Box + Trend DashboardMarket Regime: Squeeze Box + Trend Dashboard
Market Regime is a overlay designed to provide instant market context (trend vs consolidation) and highlight volatility compression (squeeze) setups before potential breakouts. Built with stock charts in mind, it focuses on clean visuals and practical decision support.
What this indicator shows:
1) Market Regime (TREND / RANGE / NEUTRAL)
The regime is detected using DMI/ADX with built-in confirmation to reduce flicker:
TREND : ADX stays above a threshold for N bars
RANGE : ADX stays below a threshold for N bars
NEUTRAL : neither trend nor range is confirmed
Trend direction is derived from DI+ vs DI- (UP / DOWN / MIXED).
2) Squeeze (BB inside KC)
A squeeze is detected when Bollinger Bands contract inside Keltner Channels (volatility compression).
SQZ = squeeze start
REL = squeeze release (the first bar *after* squeeze — technically correct)
3) Squeeze Box
The core feature: a box drawn from SQZ → REL , dynamically tracking the highest high / lowest low during the squeeze. This creates a clean visual range for the compression zone and helps frame breakout context.
4) EMA Ribbon with ADX-based intensity
Two EMAs (fast/slow) form a ribbon. The fill becomes more pronounced as ADX strength increases, making trend momentum easier to read at a glance.
5) Trend Dashboard (corner panel)
A compact dashboard summarizing key metrics:
REGIME, DIR, ADX (with normalized strength %)
SQUEEZE ON/OFF
Relative Volume (relVol + tier)
ATR% (14), EMA Slope%, GAP% (Open vs previous Close)
Customization / Settings
Fully configurable for different styles and markets:
ADX/DMI lengths and thresholds
BB/KC parameters (lengths and multipliers)
Relative Volume thresholds
Background mode: Off / Squeeze only / All regimes
Visual toggles: ribbon, squeeze box, markers, dashboard
History controls and limits for boxes/labels (clean chart + performance)
How to use (practical workflow)
Trend context : read REGIME + DIR and ribbon intensity (ADX strength).
Squeeze setup : when squeeze is active, the box defines the compression range (high/low).
Release : REL marks the first bar after squeeze ends (potential breakout/expansion context).
Notes
No look-ahead logic is used; calculations rely on current and historical bars only.
On realtime (still-forming) candles, values can change intrabar, normal behavior for indicators computed on the current bar.
Trading Disclaimer:
This indicator is provided for research and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use at your own risk. You are solely responsible for any trading decisions made using this script.
Adaptive Market Regime Engine - AMR [1.2.0]An analysis and decision framework for traders who want to understand what their strategy can truly deliver in real market conditions.
Note: This script loads in a neutral state.
Performance depends entirely on the selected setup and market regime.
From Backtest to Market Reality
Many traders are familiar with the same situation:
In backtesting, a strategy appears stable – smooth equity curve, clean metrics.
In live trading, drawdowns, uncertainty, and emotional decisions follow.
Then the strategy gets optimized, replaced, or abandoned – often exactly when the market would have started to adapt again.
The problem is rarely the strategy itself.
It is the missing market context in which it is applied.
AMR was developed to close this gap:
Trading ideas are not viewed in isolation, but systematically classified into market regimes and market phases – with a realistic view on risk, drawdowns, and capital impact.
Market as a Regime – Not a State
The market is not a static environment.
It continuously shifts between different regimes, each placing different demands on strategies.
AMR continuously classifies the market into structured phases, including:
Squeeze – low volatility, transition and buildup phases
Strong Trend (Bull / Bear) – clear directional movement with statistical edge
Weak Trend – directional bias with increased pullbacks
Range – sideways markets with limited opportunity
Neutral – transition phases without a clear advantage
All trades, metrics, and evaluations are always viewed within the context of these phases.
This creates understanding of:
why trades occur or are deliberately avoided
why drawdowns happen
why a setup may temporarily underperform without being fundamentally flawed
Four Analysis Modes – Four Perspectives on the Same Setup
Setup Mode – The Strategy Itself
In Setup Mode, you develop and analyze your trading idea independently of account size.
Here you define and test, among other things:
Entry and exit logic
ATR-based exits, trailing stops, fixed take-profits, breakeven rules
Re-entry concepts for trend continuation
phase-dependent parameters
Core question:
Is this trading idea logical, consistent, and technically robust?
Portfolio Mode – Capital Reality
Portfolio Mode translates a setup into a realistic account simulation.
It visualizes:
equity curve development
maximum drawdown (absolute and percentage)
capital exposure
risk development over time
Core question:
How does this setup actually affect my capital?
Heatmap Mode – The Time Test
Heatmap Mode evaluates performance over time, not just as an aggregate result.
It shows:
strong and weak months
recurring drawdown phases
periods without trades
recovery phases after losing streaks
Core question:
Which weak phases are structurally part of this setup – and what must a trader be able to endure during these periods?
Live Mode – Understanding the Current Market Environment
Live Mode analyzes the market in real time.
It shows:
the current market regime
active or inactive setup conditions
concrete reasons for “no-trade” phases
re-entry status and timing logic
Goal:
Not just seeing trades, but understanding why trades are taken – or consciously avoided.
Position Sizing & Kelly Reference
Many traders optimize entries and exits but underestimate the impact of position sizing.
AMR integrates the Kelly principle as a reference model to:
contextualize expectancy and risk
compare fixed position sizes with dynamic weighting
identify whether drawdowns stem from the strategy or from position sizing
Kelly is neither a recommendation nor a requirement, but an analytical tool to evaluate one’s own risk management.
Validated Starter Setups & Private Community
At launch, every AMR subscriber receives three validated and currently live-traded setups.
These setups include:
complete parameter configurations
clear market phase classification
defined risk and exit structures
They serve as real-world references for how a robust setup is constructed.
Additionally, all users gain access to a private Telegram group.
This group is not a signal service.
It is intended as a shared workspace and exchange environment.
Every trader favors different markets and timeframes and brings individual account sizes, time horizons, and mental resilience.
What does not fit one trader may be ideal for another.
From this context emerges a rich and continuously growing pool of real, field-tested trading setups, from which each trader can select the strategies that best fit their style, capital, and mental strength.
Technical Integrity & Data Stability
AMR operates with:
non-repainting signals
realistic costs (fees & slippage)
stable backtests
Who AMR Is Designed For
AMR is built for traders who:
systematically develop their own strategies
actively incorporate market phases into decision-making
seek to understand drawdowns instead of reacting emotionally
aim for long-term consistency
Guiding Principle
You design your strategy.
AMR shows how it behaves across real market phases – and what those decisions mean for your trading account.
Past performance ≠ future results.
SMT - Malibu SMT Correlation Crack Indicator
This indicator detects Smart Money Technique (SMT) divergences between two correlated assets, helping traders identify potential reversal points when the primary asset and comparison symbol show opposite price movements.
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WHAT IT DOES
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• Detects Bearish Divergence: Primary makes Higher High while Compare makes Lower High
• Detects Bullish Divergence: Primary makes Lower Low while Compare makes Higher Low
• Draws divergence lines between swing points automatically
• Optional labels for quick identification
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HOW TO USE
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1. Set your Comparison Symbol (e.g., NQ1! for Nasdaq when trading ES)
2. Adjust Swing Length for sensitivity (lower = more swings, higher = fewer)
3. Customize colors to match your chart theme
4. Enable/disable labels based on your preference
Recommended Pairs:
• ES1! vs NQ1! (S&P 500 vs Nasdaq)
• GC1! vs SI1! (Gold vs Silver)
• EURUSD vs GBPUSD (Forex pairs)
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TRADING CONCEPT
SMT divergence occurs when correlated assets move in opposite directions at swing points. This often indicates institutional activity and can signal potential reversals.
• Bearish Divergence → Potential Short Setup
• Bullish Divergence → Potential Long Setup
Always use with confluence from other SMT elements (Order Blocks, FVGs, Liquidity).
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SETTINGS
• Compare Symbol: Second asset to compare with current chart
• Timeframe: Leave empty to use current chart timeframe
• Swing Length: Swing detection sensitivity (1-20)
• Colors: Customizable for bearish/bullish divergences
• Show Labels: Display BEAR/BULL tags at divergences
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DISCLAIMER
This indicator is for educational purposes only. Trading involves substantial risk. Past performance does not guarantee future results. Always use proper risk management.
Volume SGVolume SG, stands for volume made by stock gurukul.
1. This is a normal volume indicator along with 50 SMA overlay.
2. It gives out sector, industries, R VOL and avg turn over of the stock.
Volume indicator indicates the institutional activity. Same has been reiterated by many great traders like O' Neil, Livermore, Darvas< charles Dow etc., Wanted a simple volume indicator and here it is. Inacse you like it .. hit the like button same will motivate me a lot. Any suggestions for improvement is most welcome. Enjoy it.
Do follow me in twitter for latest update.
GoM Scalping Pro V1.20 GoM Scalping Pro — Smart ALMA Signal System
GoM Scalping Pro is a professional trading indicator designed to identify high-quality market entries using a smart trend-based signal engine combined with volatility filtering and built-in risk visualization.
The indicator automatically highlights **potential BUY and SELL opportunities and displays structured trading levels directly on the chart, making it suitable for scalping, intraday, and short-term swing trading.
🔹 Key Features
Smart trend-based signal detection
Volatility filter to avoid low-quality market conditions
Automatic calculation of Entry, Stop Loss, and Take Profit levels
Multiple Take Profit targets for flexible trade management
Clear and uncluttered chart visualization
Customizable alerts (Push / Sound / Popup)
Works on all markets and timeframes
📊 How to Use
Signals appear directly on the chart when market conditions are valid
Follow the displayed Entry, SL, and TP levels for structured execution
Can be combined with your own market context or risk rules
The indicator is designed to assist decision-making, not to replace trading discipline.
🎯 Recommended Markets
For best performance, use on liquid instruments such as:
Major Forex pairs
Gold (XAUUSD)
Major indices (US500, NAS100)
Bitcoin (BTCUSD)
⚙️ Alerts
Enable alerts to receive real-time notifications when new signals are detected.
This allows you to monitor multiple instruments efficiently without staring at charts.
⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always test settings on a demo account and manage risk carefully.
If you want, I can also provide:
a shorter “store-style” description
a premium / institutional tone version
or a version optimized for conversions on TradingView
Teemo RSI DivergenceTeemo RSI Divergence
Teemo RSI Divergence is a comprehensive trading system designed to visualize market momentum and structural shifts instantly. By combining a Momentum Shift Zone with a Dual Divergence Engine, it helps traders identify both high-probability reversals and trend continuations.
Key Features
RSI Shift Zone (Momentum Bars): Automatically colors price bars when RSI breaks into Overbought (70+) or Oversold (30-) zones. This signals strong momentum, suggesting a trend is active rather than just exhaustion.
🟢 Mint Bars: Strong Bullish Momentum.
🟣 Purple Bars: Strong Bearish Momentum.
Dual Divergence Engine:
"R" (Regular): Detects Trend Reversals (e.g., Price Lower Low + RSI Higher Low).
"H" (Hidden): Detects Trend Continuations (e.g., Price Higher Low + RSI Lower Low).
Real-Time Monitor: Displays dotted lines for potential divergences while the candle is forming, allowing you to anticipate market structure before the close.
Smart Filtering: Includes options to filter out weak signals near the neutral zone (RSI 50) and remove duplicate noise for cleaner charts.
How to Use
Trend Following: Look for Hidden Divergences (H) appearing while the bars are colored (Mint/Purple) to join the trend on pullbacks.
Reversal Trading: Look for Regular Divergences (R) appearing against the colored momentum bars to spot trend exhaustion.
Teemo RSI Divergence는 시장의 모멘텀과 추세 구조를 직관적으로 시각화하는 트레이딩 시스템입니다. 단순한 RSI 지표를 넘어, **모멘텀 시프트 존(캔들 색상)**과 이중 다이버전스 엔진을 결합하여 트레이더가 추세의 반전과 지속 타점을 모두 포착할 수 있도록 설계되었습니다.
주요 기능
RSI Shift Zone (모멘텀 캔들): RSI가 과매수(70+) 또는 과매도(30-) 구간을 강하게 돌파할 때 캔들 색상을 변경합니다. 이는 단순 과열이 아닌 '강한 추세'가 진행 중임을 의미합니다.
🟢 민트색 캔들: 강력한 상승 모멘텀.
🟣 보라색 캔들: 강력한 하락 모멘텀.
이중 다이버전스 엔진:
"R" (Regular/일반): 추세 반전 신호를 감지합니다 (예: 가격 저점 하락 + RSI 저점 상승).
"H" (Hidden/히든): 추세 지속(눌림목) 신호를 감지합니다 (예: 가격 저점 상승 + RSI 저점 하락).
실시간 모니터 (RT): 캔들이 마감되기 전, 형성 중인 다이버전스를 점선으로 미리 표시하여 시장의 움직임을 한발 앞서 예측할 수 있습니다.
스마트 필터링: 중립 구간(RSI 50) 근처의 약한 신호를 무시하고, 중복된 라인을 제거하여 차트를 깔끔하게 유지합니다.
사용 전략
추세 추종: 캔들이 민트색이나 보라색으로 칠해진 강한 추세 구간에서 **히든 다이버전스(H)**가 발생하면, 추세 지속을 위한 진입 기회로 활용하세요.
반전 매매: 강한 모멘텀(색상 캔들)이 지속되던 중 **일반 다이버전스(R)**가 발생하면, 추세가 힘을 잃고 반전될 가능성을 대비하세요.
ATR Supertrend [QuantAlgo]🟢 Overview
The ATR Supertrend indicator identifies trend direction and reversal points using volatility-adjusted dynamic support and resistance levels. It combines Average True Range (ATR) volatility measurement with adaptive price bands and EMA smoothing to create trailing stop levels that automatically adjust to market conditions, helping traders and investors identify trend changes, maintain positions during trending markets, and exit when momentum shifts across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its volatility-adaptive band system, where dynamic support and resistance levels are calculated based on market volatility and price movement:
smoothedSource = ta.ema(source, smoothingPeriod)
atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier
The script uses ATR-based bands that expand and contract with market volatility, ensuring the indicator adapts to different market conditions rather than using fixed price distances:
if trend == 1
supertrend := math.max(supertrend, smoothedSource - atr)
else
supertrend := math.min(supertrend, smoothedSource + atr)
First, it applies optional EMA smoothing to the price source to reduce noise and filter out minor price fluctuations that could trigger premature trend changes, allowing traders to focus on genuine momentum shifts.
Then, the ATR calculation measures market volatility using the Average True Range over the specified lookback period, multiplied by the user-defined factor to set the band distance:
atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier
Next, dynamic trend detection occurs through a state-based system where the indicator tracks whether price is in an uptrend or downtrend, automatically adjusting the Supertrend line position:
if trend == 1
if smoothedSource < supertrend
trend := -1
supertrend := smoothedSource + atr
The Supertrend line can act as a trailing stop that follows price during trends but never moves against the trend direction, i.e., it ratchets upward with price in uptrends and ratchets downward with price in downtrends.
Finally, trend reversal signals are generated when price crosses the Supertrend line, indicating a shift in market momentum:
bullSignal = trend == 1 and trend == -1
bearSignal = trend == -1 and trend == 1
This creates a volatility-adaptive trend-following system that combines dynamic support/resistance levels with momentum confirmation, providing traders with clear directional signals and automatic stop-loss levels that adjust to changing market conditions.
🟢 Signal Interpretation
▶ Bullish Trend (Green): Price trading above Supertrend line with indicator showing bullish color, indicating established upward momentum = Long/Buy opportunities
▶ Bearish Trend (Red): Price trading below Supertrend line with indicator showing bearish color, indicating established downward momentum = Short/Sell opportunities
▶ Supertrend Line as Dynamic Support: In uptrends, the Supertrend line can act as trailing support level that rises with price, never declining = Use as potential stop-loss reference for long positions = Price holding above indicates trend strength
▶ Supertrend Line as Dynamic Resistance: In downtrends, the Supertrend line can act as trailing resistance level that falls with price, never rising = Use as potential stop-loss reference for short positions = Price holding below indicates trend weakness
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches. "Default" provides balanced trend detection for swing trading on daily/4-hour charts with moderate sensitivity. "Fast Response" delivers quick trend change detection for intraday trading on 5-minute to 1-hour charts, capturing moves early with increased whipsaw potential. "Smooth Trend" focuses on strong sustained trends for position trading on daily/weekly timeframes, filtering noise to identify only major trend shifts.
▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend changes and momentum shifts. "Bullish Trend" triggers when price crosses above the Supertrend line and the trend state changes from bearish to bullish, signaling potential long entry opportunities. "Bearish Trend" activates when price crosses below the Supertrend line and the trend state changes from bullish to bearish, signaling potential short entry or long exit points. "Any Trend Change" provides a combined alert for any trend reversal regardless of direction, allowing traders to be notified of all momentum shifts without setting up separate alerts. These notifications enable traders to capitalize on trend changes and protect positions without continuous chart monitoring.
▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying bullish versus bearish trends across various trading environments. The adjustable cloud fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the Supertrend line and price, with higher opacity values creating subtle background context while lower values produce bold trend zone emphasis. Optional bar coloring with adjustable transparency (0-100%) extends the trend color directly to the price bars themselves, providing immediate visual reinforcement of current trend direction without requiring reference to the Supertrend line, with transparency controls allowing users to maintain visibility of candlestick patterns while still showing trend context.
SPX 0DTE Credit Spread StrategyThis indicator is a specialized decision-support tool designed for SPX 0DTE Credit Spread sellers. Based on statistical analysis and feature engineering of historical SPX data, it helps traders identify the daily market "Context" to select the statistically safer side (Put vs. Call) and Strike prices.
这是一个专为 SPX 0DTE Credit Spread（贷方价差策略） 卖方设计的决策辅助工具。基于对 SPX 历史数据的统计分析与特征工程，该指标帮助交易者识别当天的市场“情境 (Context)”，从而选择统计学上更安全的方向（卖 Put 还是卖 Call）以及行权价。
🚀 Core Logic / 核心逻辑
Unlike traditional indicators based on RSI or MACD, this script focuses on Time-Series Context and Volatility Regimes: 与基于 RSI 或 MACD 的传统指标不同，本脚本专注于时间序列情境和波动率体制：
Gap Analysis (跳空分析):
Big Gap Up (> 0.5%): Historical data suggests an extremely high win rate for selling Calls (Short Call) on days with significant gap ups, as momentum often exhausts intraday.
大幅高开: 历史数据显示，在大幅高开的日子里，卖出 Call 的胜率极高，因为动能往往在日内耗尽。
Streak Filter (连势过滤):
Momentum Protection: If SPX has been up for 3+ consecutive days, the script blocks "Sell Call" signals to avoid fighting strong momentum. Conversely, it blocks "Sell Put" signals after 3+ down days.
动能保护: 如果 SPX 连涨 3 天以上，脚本会屏蔽“卖 Call”信号以防逆势；反之，连跌 3 天以上屏蔽“卖 Put”。
Inside Day Effect (孕线效应):
Days following an "Inside Day" (lower high and higher low than previous) are statistically safer for selling Puts due to mean reversion behavior.
“孕线”后的交易日，由于均值回归特性，卖 Put 通常具有更好的统计安全性。
ATR-Based Levels (ATR 动态点位):
Data mining reveals that Open + ATR(14) serves as a more robust resistance level for 0DTE Calls than traditional Pivot Points or VIX levels during intraday volatility.
数据挖掘显示，开盘价 + ATR(14) 比传统的 Pivot 点位更能作为 0DTE Call 端的稳健阻力位。
Z-Score Protection (均值乖离保护):
If the market is extremely oversold (Z-Score < -2.0), the script advises caution against selling Calls to prevent losses from "Dead Cat Bounces".
当市场极度超卖时，脚本会提示观望，防止“超跌反弹”打穿 Call 端。
🛠 Features / 功能特色
Real-time Dashboard (实时面板): Displays Gap %, Streak count, Inside Day status, and Z-Score in the top-right corner.
Dynamic Strategy Labels (动态策略标签): Automatically marks the recommended Strategy (e.g., "Sell Call (Prime)") and Strike Level on the chart.
Strike Levels: Visualizes the calculated safe Strike price based on your risk buffer settings.
Bilingual Support: Fully supports English and Chinese (switch via Settings).
实时面板: 右上角显示跳空幅度、连涨连跌天数、孕线状态及 Z-Score。
动态策略标签: 自动在图表上标记推荐策略（如“Sell Call (极佳)”）和建议点位。
点位可视化: 根据您的风险缓冲设置，画出计算出的安全行权价。
双语支持: 支持英文和中文一键切换（在设置中更改）。
⚙️ Settings / 参数设置
Show Chinese Language: Toggle between English and Chinese interface.
Call/Put Buffer: Adjust the safety margin (in points) added to the calculated levels.
Use Open+ATR: Enable/Disable the ATR-based logic for Call resistance (Recommended: ON).
⚠️ Disclaimer / 免责声明
This tool provides statistical probabilities based on historical data and is for informational and educational purposes only. It does not constitute financial advice. 0DTE options trading involves significant risk. Please use it at your own risk.
本工具仅基于历史数据提供统计概率，仅供信息参考和教育目的。不构成任何财务建议。0DTE 期权交易风险巨大，请您自行承担风险。
Volume-Edge Trend [wjdtks255]🚀 Volume-Edge Trend
1. Overview This indicator is designed to capture high-probability trend reversals by combining Market Structure Breakouts with Volume Confirmation. Instead of chasing every price movement, it analyzes the highest highs and lowest lows over a set period to identify true structural shifts. By filtering these moves with a 20-period volume average, it effectively eliminates weak "fakeouts" and focuses on high-conviction momentum.
2. How to Trade
📈 LONG Entry: * Enter when a green BUY label appears below the candle.
This signal confirms that price has broken above the previous structural high with significant buying volume.
💀 SHORT Entry: * Enter when a red SELL label appears above the candle.
This signal confirms that price has breached the previous structural low, backed by strong selling pressure.
🎯 Exit (TP/SL):
Use the thick, dynamic Trend Line as your trailing stop-loss.
For Longs, exit if the price closes below the green support line.
For Shorts, exit if the price breaks above the red resistance line.
3. Key Features
Structural Breakout Engine: Tracks price action across a customizable "Length" to detect when a market moves out of a consolidation zone.
Volume Surge Filter: Includes a built-in toggle to ensure signals only fire when trading volume exceeds its 20-period average, confirming institutional participation.
Real-time Trend Navigation: Features a dynamic background fill and a reinforced trend line that provides instant visual feedback on the current market bias.
4. Recommended Settings
Length (Analysis Period): 14 (Optimized for standard trend following).
Volume Filter: Keep "On" to maximize signal accuracy.
Timeframe: Highly effective on 15m, 1H, and 4H charts for volatile assets like BTC, ETH, and NASDAQ.
Axel Indikator [Cloud]Hope u enjoy this!
Indikator khusus orang-orang terpilih dan good looking
Instagram @axelleonard8
Median Anchor Oscillator [ALPHA]ALPHA – Median Anchor Oscillator
A clean, outlier-resistant z-score oscillator built around a rolling median (not mean) and Median Absolute Deviation (MAD) instead of standard deviation.
Key features:
- Green/red histogram shows deviation strength from the median anchor
- Dashed lines at ± threshold (default 2.5 – adjustable)
- Optional purple fill for extreme zones
- Auto-scales perfectly (no price squish on BTC or high-value assets)
Ideal for mean-reversion traders spotting overextension or "gravity" pullbacks.
SHORT = breaching top dashed line (red)
LONG = breaching bottom dashed line (green)
Use with a MACD or RSI for those divergence signal confirmations.
This is ALPHA – early version, still tuning.
Companion overlay suite (medians, pivot, signals, RSI overlay) coming in future, possible standalone update(s).
Feedback / suggestions very welcome!
Tags: z-score, median, oscillator, mean-reversion, BTC, crypto, deviation
HMA Trend Scalper [wjdtks255]🚀 HMA Trend Scalper V1: Ultimate Precision Strategy
1. Overview
This indicator captures immediate market trend reversals based on the high-responsiveness of the HMA (Hull Moving Average). It doesn't just show direction; it simultaneously calculates ATR-based volatility to generate optimal Take Profit (TP) and Stop Loss (SL) lines in real-time.
2. How to Trade
🚀 LONG Entry:
The HMA line must be Green, and the price must be positioned above the line.
Enter when the price breaks above the high of the last 5 bars and the 🚀 LONG label appears.
💀 SHORT Entry:
The HMA line must be Red, and the price must be positioned below the line.
Enter when the price breaks below the low of the last 5 bars and the 💀 SHORT label appears.
🎯 Exit (TP/SL):
Close the position immediately when the price touches the Aqua line (TP) or the Yellow line (SL).
3. Key Features
Smart Cleaning: By enabling the 'Hide Past Records' option, the indicator automatically removes previous labels and lines when a new signal occurs, keeping your chart clean and focused.
Real-time Tracking: TP and SL lines extend candle-by-candle as the price moves, providing superior readability for active trades.
High Visibility: Status panels like 🎯 TP Hit or ⚠️ SL Hit are generated upon trade completion, allowing you to intuitively track your trading results.
4. Recommended Settings
Sensitivity: 15 (Optimized for Scalping).
TP/SL Multipliers: Fully customizable to fit your personal risk-to-reward strategy.
Toby Crabel's HisVolAs in Linda Raschke's Street smarts..... . This indicator shows the signals of Toby Crabel's Historical Volatility 6/100 strategy. The strategy assumes, that volatility contraction measured by two measures would give better results.
There is one other script that is a strategy , but it assumes that the signal requires both inside bar and narrowest range, what is not as in Linda Raschke's.
The strategy and what does the script do:
1) measures short-term unannualized volatility (by default six), long term uannualized volatility (by default 100), and measures the ratio of short volatility / long volatility.
2) checks if the current bar is an inside bar or has narrowest range out of last X bar (by default 4), or both,
3) puts an etiquette if short volatility / long volatility is equal to or smaller than 0,5 AND the day is inside bar, has narrowest range, or both.
Next day both buy-stop and sell-stop should be set. Buy-stop at the high and sell-stop at the low of the bar with etiquette.
This is by no means any financial advice, nor the historical results guarantee future gain.
Volatility Adaptive Precision Trend [JOAT]Volatility Adaptive Precision Trend – REGMA/ZLEMA Trend & Volatility Engine
IMPORTANT NOTES (READ FIRST)
This is an indicator (not a strategy). It does not place trades. It provides a structured trend and volatility framework.
This script is written in Pine Script v6 and is intended to be used on standard candlestick charts .
Source code visibility: This script is published as Protected Source (closed-source) . The purpose is to protect the work from unauthorized re-uploads/copies and to maintain a stable versioning path. This description is intentionally detailed so you can understand what the indicator does and how to use each feature without needing access to the implementation.
Protected Source / Closed-Source Clarification
Protected source does not mean "trust me blindly". It means the internal implementation is not publicly viewable.
The operational behavior is documented here: what is plotted, what each dashboard cell means, what each input controls, and how to interpret the output.
If you see re-uploads or near-identical copies elsewhere, treat them with caution and rely on the official publication.
Overview
Volatility Adaptive Precision Trend (VAPT) is a professional trend engine designed to stay responsive in fast markets while remaining stable in chop. It combines:
Regularized EMA (REGMA) – advanced smoothing with lambda parameter for noise reduction while maintaining responsiveness
Zero-Lag EMA (ZLEMA) – optional mode that eliminates traditional EMA lag for faster trend detection
Adaptive ATR Bands – volatility-based envelopes that expand and contract with the regime
Dynamic Risk Zones – extended envelopes beyond bands highlighting extreme stretch areas
Session Analysis – Asian, London, and New York session awareness with background shading
Professional Gradient Visualization – multi-layer trend lines with strength-based coloring
The purpose is to provide a clean, adaptive trend framework that adjusts to volatility conditions automatically.
What Makes It Original (Originality & Usefulness)
This script is not a simple moving average with bands. It is a coordinated workflow:
REGMA/ZLEMA Hybrid introduces a regularization term into the EMA recursion: REGMA = alpha x price + (1-alpha) x (REGMA + lambda x (price - REGMA ))
Adaptive Volatility Engine combines fast and slow ATR measures to estimate whether volatility is expanding or contracting
Volatility Regime Classifier compares current ATR to its moving average and standard deviation to label conditions as LOW/NORMAL/HIGH
Trend Strength Model measures distance between fast and slow trend lines, normalized by ATR
Session Context provides awareness of major trading sessions for regime interpretation
The combination creates a trend system that adapts to market conditions rather than using static parameters.
1) Chart Visuals – What You See on the Chart
A) Trend Lines (REGMA or ZLEMA)
Three trend lines form the core spine:
Trend Core – thickest line (linewidth 4), full gradient color, primary decision spine
Trend Mid – medium line (linewidth 2), slightly transparent, provides depth
Trend Fast – thin line (linewidth 1), emphasizes short-term shifts around the core
All lines share the same gradient which transitions from bull tones to bear tones as normalized strength crosses through zero.
REGMA Mode:
Lambda parameter (0.0-1.0) controls regularization strength
Lambda = 0.0 = standard EMA behavior
Higher lambda = more smoothing, reduced noise
Default lambda = 0.5 for optimal balance
ZLEMA Mode:
Compensates for EMA lag by subtracting half-length delay before smoothing
Creates faster, more reactive spine
Toggle between modes based on preference
B) ATR Bands and Risk Clouds
Upper/Lower Bands – ATR x multiplier around the trend spine, semi-transparent envelopes
Upper/Lower Risk Zones – extended envelopes (1.5x ATR multiplier) beyond bands, lightly filled
Three regimes created:
Inside bands = "normal" price movement
Between band and risk cloud = elevated excursion
Beyond risk cloud = extreme stretch (often precedes reversion or acceleration)
C) Signal Labels (optional)
When enabled, VAPT marks:
BULL – when trend direction flips positive with sufficient strength (> signal threshold)
BEAR – when direction flips negative with sufficient strength
VOL – when volatility expansion event is detected (regime shifts to HIGH)
Labels are compact, positioned at local highs/lows to avoid overlapping bands.
D) Background Layers
Session background – subtle tint showing active session (Asian=blue, London=orange, NY=green) or OFF-HOURS
Price position tint – faint red when price sits above upper band, faint green when below lower band
2) VAPT System Dashboard – Full Glossary
A compact table in the top-right corner displays:
Row 1 – Trend
BULLISH : Fast trend line > Slow trend line
BEARISH : Fast trend line < Slow trend line
NEUTRAL : Lines approximately equal
Row 2 – Strength
Absolute normalized trend strength in percent (0-100%)
Calculated as distance between fast and slow lines, normalized by ATR, clipped to -1 to +1 range
Higher values = stronger directional conviction
Row 3 – Volatility
LOW : ATR < (ATR MA - 1 StdDev) – compressed ranges, mean-reverting behavior
NORMAL : ATR within +/-1 StdDev of MA – typical oscillation
HIGH : ATR > (ATR MA + 1 StdDev) – trending, impulsive conditions
Row 4 – ATR
Current Average True Range value
Useful for stop-loss placement and position sizing
Row 5 – Position
ABOVE BANDS : Price > upper band (potential overbought, bearish reversal context)
BELOW BANDS : Price < lower band (potential oversold, bullish reversal context)
IN BANDS : Normal price action, trend continuation context
Row 6 – Session
ASIAN : 20:00-00:00 UTC
LONDON : 03:00-12:00 UTC
NEW YORK : 09:30-16:00 UTC
OFF-HOURS : Outside major sessions
3) How the Engines Work (High-Level)
REGMA Calculation:
alpha = 2.0 / (length + 1.0)
REGMA = alpha x price + (1 - alpha) x (REGMA + lambda x (price - REGMA ))
Lambda term pulls the EMA path toward smoothness
ZLEMA Calculation:
lag = floor((length - 1) / 2)
ema_data = price + (price - price )
ZLEMA = EMA(ema_data, length)
Adaptive ATR Calculation:
atr_base = ATR(length)
atr_fast = ATR(length / 2)
atr_slow = ATR(length x 2)
volatilityRatio = atr_fast / atr_slow
adaptedATR = atr_base x volatilityRatio (when adaptive mode enabled)
Trend Strength Calculation:
diff = fast_trend - slow_trend
strength = diff / ATR
normalizedStrength = clamp(strength, -1, +1)
Signal Generation:
Bullish: trend direction changes from non-positive to positive AND strength > signal threshold
Bearish: trend direction changes from non-negative to negative AND strength < -signal threshold
Volatility Expansion: regime shifts from LOW/NORMAL to HIGH
4) Inputs & Settings – Full Reference
Trend System
Trend Period (default: 34): Base period for core trend spine. Larger = stability; smaller = sensitivity.
REGMA Lambda (default: 0.5): Regularization factor. 0.0 = standard EMA, higher = more smoothing.
Enable Zero-Lag Mode : Switches from REGMA to ZLEMA for faster response.
Volatility Bands
ATR Multiplier (default: 2.0): Width of bands around trend spine.
ATR Period (default: 14): Period for ATR calculation.
Adaptive Band Width : Toggles dynamic scaling based on volatility regime.
Session Analysis
Enable Session Zones : Toggle session background shading.
Asian Session (default: 2000-0000): Configurable session time.
London Session (default: 0300-1200): Configurable session time.
New York Session (default: 0930-1600): Configurable session time.
Signal Generation
Show Trend Changes : Toggle BULL/BEAR labels.
Show Volatility Expansion : Toggle VOL labels.
Signal Threshold (default: 0.3): Minimum strength for signal generation.
Visual Settings
Color Theme : Classic, Deep Purple, Sweden, Ocean, or Monokai.
Band Transparency (default: 90): Controls fill opacity for bands.
Show Risk Zones : Toggle extended risk cloud visibility.
5) Recommended Workflow (Practical Use)
For Scalping (1-5 min charts):
Trend Period: 21
ATR Multiplier: 1.5
Signal Threshold: 0.2
For Day Trading (5-30 min charts):
Trend Period: 34 (default)
ATR Multiplier: 2.0 (default)
Signal Threshold: 0.3 (default)
For Swing Trading (1H-4H charts):
Trend Period: 55
ATR Multiplier: 2.5
Signal Threshold: 0.4
For Position Trading (Daily charts):
Trend Period: 89
ATR Multiplier: 3.0
Signal Threshold: 0.5
Step-by-Step Usage:
Step 1 – Check dashboard Trend and Strength for directional bias
Step 2 – Note Volatility regime (avoid fighting strong bands when HIGH)
Step 3 – Use Position readout to identify stretched vs normal conditions
Step 4 – Consider Session context for move quality assessment
Step 5 – Enter on pullbacks toward core trend line from beyond bands in strong trends
Step 6 – Use mean-reversion ideas primarily when volatility is LOW
Step 7 – Manage risk externally using ATR for stop placement
6) Alerts
VAPT ships with alert conditions for:
VAPT Bullish Signal : Bullish trend change detected
VAPT Bearish Signal : Bearish trend change detected
VAPT Volatility Expansion : High volatility regime entered
VAPT Price Above Bands : Price exceeded upper band
VAPT Price Below Bands : Price exceeded lower band
Recommended: Attach alerts to "Once Per Bar Close" to avoid reacting to intra-bar fluctuations.
7) Limitations & Best-Use Guidance
VAPT is an analytical tool, not an automatic trading system. It does not manage orders or risk for you.
Normal caution around indicator lag, volatility shocks, and gaps still applies.
Back-testing any workflow built on this indicator should account for realistic spreads, slippage, and commissions.
Always validate settings on your own symbols and timeframes; there is no single configuration that suits every market.
Session times are in exchange timezone; adjust if needed for your specific instruments.
Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Trading involves risk, and you are responsible for your own decisions, sizing, and risk controls. Always test settings and workflows in a simulated environment before using them in live markets.
-Made with passion by officialjackofalltrades
Winners Scalper Pro - Bull/Bear (v1.5)best settings all standart but only change rsi
15 min rsi 8-9
30 min rsi 12-14
Super Indicator by ShahedShort Description (one‑liner)
Trend‑gated line‑breakout system for 1D charts: buy breakouts + pullback buys, ATR‑buffered stops, long target & volume‑scaled target, PDL/PDH and liquidity stats, with a light green/red background for trend.
Full Description
What this script does
Finds buy opportunities on a line chart (close):
Recent High Breakout (tiny green dot)
Pullback Buy after a confirmed swing‑high break → 3–7 lower closes, then a bullish bar (tiny black dot)
Flags sells only for context:
Recent Low Breakout and Swing‑Low Break (tiny red dots)
Applies trend gating:
Signals only plot when the background is light green, i.e., when SMA20 > SMA50, SMA150, and SMA200
Background turns light red when the condition fails (no signals in red regime)
Uses ATR‑buffered stops and targets:
Long ATR Stop = last swing low − (ATR × multiplier)
Long Target (R multiple) = entry + RR × (entry − ATR stop)
Volume Target = entry + (ATR × base multiplier × Relative Volume)
(Relative Volume = Today’s daily volume ÷ 30‑day average daily volume, capped between user‑defined min/max)
Shows a compact, relocatable info panel (no drag—choose corner in settings):
Long Stop (ATR), Short Stop (ATR)
PDL (previous day low), PDH (previous day high)
Today’s Volume (Millions)
Avg Turnover (30‑day, Crores)
Long Target, Volume Target
Relative Volume (x)
Draws a horizontal line at the current Long Target, automatically updating on new long entries (extends to the right).
Why it’s useful
Simple entries on the close (line chart) with objective structure (swing confirmation).
Trend alignment by design (light green background required for signals).
Risk-aware: stops use ATR buffers off confirmed swing lows/highs.
Liquidity-aware: targets flex with relative volume.
Clean visual layer: tiny dots, light background, compact panel.
Signals & Logic (plain language)
Buy (Breakout): close crosses above the recent high (lookback N).
Buy (Pullback): after a swing‑high break, count 3–7 consecutive lower closes, then on the next bullish bar → buy.
Sell (Context): recent low breakout or a break below the most recent swing low.
Trend filter: all signals only print when SMA20 > SMA50, SMA150, SMA200 (background light green).
Note: Swings use pivotlow/pivothigh on close to match a line chart. Pivots confirm after swRight bars, making stops stable (but slightly delayed).
Table / Panel (what you see)
Long Stop (ATR) and Short Stop (ATR)
PDL / PDH (from daily timeframe)
Vol Today (M) and Avg Turn 30D (Cr)
Long Target (R) and Volume Target
Rel Vol (x) (today’s daily volume ÷ 30D average volume)
You can change the panel position via Panel Position (Top‑Left / Top‑Right / Bottom‑Left / Bottom‑Right).
Inputs (key)
Breakout Lookback and Repaint‑safe recent levels toggle
Swing Left/Right (pivot confirmation)
ATR Length and ATR Multiplier
RR for Long Target (e.g., 2.0R)
Volume Target base ATR Multiplier, RelVol floor/ceiling
Panel Position, Panel Transparency
Show Target Line, color, width
Enable Pullback Buy, LL min/max, Require bullish bar
Show Text Labels (BUY/SELL)
Alerts
BUY – Recent High Broken
SELL – Recent Low Broken
SELL – Swing Low Broken
BUY – Pullback after Swing High Break
Alerts only fire when the background is green (trend up condition).
Best‑practice tips
This is tuned for Daily charts. For intraday, consider adjusting:
Swing Left/Right (e.g., 1–2 for faster swings)
ATR Multiplier (e.g., 0.5–1.0 intraday; 1.0–1.5 if noisy)
RR (start with 1.0–1.5, then explore 2.0)
If you want the Volume Target to matter more or less, adjust Vol Target Base ATR Multiplier and RelVol caps.
Limitations & notes
No repainting of signals: pivots are confirmed before being used for stops/pullback logic.
Relative Volume uses daily volumes. On non‑daily charts, values still come from the daily timeframe to stay consistent.
No manual drag for the panel (Pine v4 limitation). Use the corner selector.
How to present screenshots
1D chart with:
Light green background, green/red dots, a black pullback buy dot.
Panel in a corner (e.g., Bottom Right).
Target line drawn and extending right.
One screenshot with a marked pullback sequence (3–7 lower closes) and the following bullish bar entry.
Suggested Tags
breakout, swing, ATR, trend, volume, relative-volume, PDL, PDH, targets, risk-management, line-chart
Disclaimer
This script is for educational purposes. Not financial advice. Trading involves risk. Always validate on your timeframe and instruments, and combine with your execution and risk rules.
Dynamic Power Z-Score [D-PZS]Dynamic Power Z-Score
This indicator is a momentum tool designed to identify market reversal points with high precision. It combines internal price strength ("Power") with statistical analysis to detect overbought and oversold conditions.
Methodology
The script calculates the internal strength of price action and smooths it using a Double Exponential Moving Average (DEMA). It features an adaptive mechanism that adjusts the calculation period based on market volatility. Finally, it uses a Z-Score formula to normalize the data and generate signals.
Signals (Reversed Color Logic)
This version uses specific colors to highlight market extremes:
- Green Circle (Above Bar): Indicates the market is Overbought (Z-Score > 2.0). Potential Short/Sell area.
- Red Circle (Below Bar): Indicates the market is Oversold (Z-Score < -2.0). Potential Long/Buy area.
No Repainting
This indicator does not repaint. Signals are confirmed only after the candle closes. Once a circle appears, it is permanent.
Protected Script Warning
This is a closed-source script protected by intellectual property rights. The underlying adaptive algorithm and code structure are proprietary. Reverse engineering or unauthorized distribution is prohibited.
Disclaimer: For educational purposes only.
Bull-Bear with Gainer-Looser Dashboard Scanner [Chartology.AI] 🔍 Bull-Bear with Gainer-Looser Dashboard Scanner
This advanced multi-symbol scanning tool provides a professional-grade dashboard for analyzing trend reversals across 40 selected tickers simultaneously. It identifies high-probability entry points using a refined engine combined with real-time Gainer & Looser performance metrics.
🟢 Bullish & Bearish Signals
The scanner detects possible moment a trend shifts direction.
Input Settings
Signal Type: Safe
Appears after a proper trend confirmation.
Low frequency, fewer signals, but more reliable.
Best for swing traders who want strong confirmation before entering.
Signal Type: Scalping
Appears frequently during small downward moves.
High frequency, quick signals for short-term trades.
Best for intraday
Traders who want multiple opportunities in small movements.
📊 Real-Time Dashboard Metrics
The Dashboard is clean, auto-sorting table at the bottom of your chart. Each cell provides critical data points for immediate decision-making:
Symbol Name: Shows the ticker (e.g. XAUUSD, EURUSD).
Signal Age (⏱️): Displays exactly how many candles ago the signal appeared. The dashboard automatically sorts the newest signals to the top .
Intraday Strength (ROC%): Shows the percentage change from the current session's open.
▲ Green: Price is trading above the opening bell (Intraday Gainer).
▼ Red: Price is trading below the opening bell (Intraday Looser).
🚦 Key Functional Features
Multi-Symbol Processing: Scans any 40 symbols in a single view.
Recency Filter: The Max Bars Ago input allows you to hide "stale" signals, showing only entries that happened within your preferred window.
Adaptive Grid Layout: The table dynamically wraps based on the Max Columns setting, keeping your chart workspace visible.
🧭 How to Use for Maximum Accuracy
Check Signal Age: Prioritize signals that are 1–3 bars old . Signals older than 5 bars may have already reached their primary targets.
Validate with ROC: A Bullish signal is much stronger if the ROC is also positive (▲). This confirms that institutional buyers are active for the day.
Align Timeframes: Use the ROC Timeframe input to align the scanner with a higher timeframe (like 30m or 1H) to trade with the "Big Trend."
🕵🏻 Quick Setup Guide
Select Symbols: Use the input toggles to enable/disable specific stocks.
Choose Frequency: Switch to Scalping for volatile days and Safe for trending markets.
Set Lookback: Adjust Max Bars Ago to 5 if you only want to see the most immediate "Hot" signals.
📊 Healthy Trading Tips
Risk Small: Never risk more than 1–2% per trade.
Size Smart: Adjust position size to volatility and account size.
Diversify: Don’t put all money in one asset/sector.
Plan Ahead: Set entry, exit, and stop‑loss before trading.
Trade Less: Focus on quality setups, avoid overtrading.
Use Both Analyses: Combine technical charts with fundamental news/events.
Control Emotions: Stick to strategy, avoid fear/greed.
Journal Trades: Record reasons, outcomes, and lessons.
Stay Informed: Track economic calendars and global events.
Take Breaks: Step away after wins/losses to reset.
🎯 Advanced Discipline
Partial Exit: Book profits in stages (e.g., 50% at 1:1, 50% at Final Level).
Check News: Avoid trading during major announcements.
No Tweaks: Don’t change plan mid‑trade; wait for SL/TP.
Fixed Rules: Trade with fixed risk, fixed gains.
No Averaging Losses: Close bad trades, don’t add more.
Keep Learning: Evolve strategy with market changes.
Backtest: Practice setups until they’re second nature.
Daily Routine: Pre‑market Preparation, post‑market review.
Track Metrics: Win rate, average reward, expectancy, and setup performance.
Respect Trend: Trade with momentum, not against it.
Avoid Over‑Leverage: Keep leverage low, avoid margin unless planned.
🚫 Risk Disclaimer
This content, including any tools, software, datafeeds, indicators, or scanners, is provided strictly for charting, educational, informational, and paper‑trading purposes only. It does not constitute investment advice, buy/sell recommendations, or real‑money trading strategies.
Not Advisors: We are not registered as investment advisors or research analysts.
Charting Only: Use is limited to testing strategies; any application to real trading is at the user’s sole risk.
No Liability: No liability is accepted for financial loss or damages arising from use of these tools.
High Risk: Trading and investing involve substantial risk and can result in losses beyond initial capital.
⚠️ Final Note: Trading is speculative and may not be suitable for all investors. Use only risk capital and never invest money you cannot afford to lose.
✅ Always remember🧠 my 3R Rule💡:
If the money💰 is yours then, RISK⚖️, REWARD🏆 and REGRET😔 are solely yours. 🔥
srd786-Intraday VWAP Price Action IndicatorDISCLAIMER
This Pine Script indicator does not constitute financial advice; it is just intended for educational and informational purposes. It functions as a tool for technical analysis that could help traders spot possible trading opportunities. It is crucial to remember that participating in financial markets has a number of risks that might result in large losses and are not suitable for all investors.
Users are encouraged to conduct their own thorough investigation and analysis prior to using this indicator. Avoiding trading with money that one cannot afford to lose is essential. It is also advised to seek advice from a certified financial expert. Users must use suitable risk management techniques and recognize that past success does not guarantee future outcomes.
Any losses, damages, or other consequences resulting from the usage of this indicator are not the author's responsibility. The user is ultimately responsible for all trading decisions, therefore using this tool is at their own risk.
INTRODUCTION
The “srd786-Intraday VWAP Price Action Indicator” is a sophisticated Pine Script (version 6) trading tool designed for intraday traders who focus on New York session trading hours. This indicator combines multiple technical analysis concepts including Volume Weighted Average Price (VWAP), Average True Range (ATR) for risk management, swing point detection for support/resistance identification, and momentum analysis through RSI. The primary objective is to generate high-probability long and short signals based on price action confluence with trend, momentum, and key structural levels.
1.
VWAP (Volume Weighted Average Price): Shows the "fair" average price based on both price and trading volume.
2.
ATR (Average True Range): Measures how much the price typically moves each day.
3.
Trend Analysis: Identifies whether the market is going up, down, or sideways.
4.
Momentum Indicators: Shows how strong the current price movement is.
5.
Support & Resistance: Identifies key price levels where the price might stop or reverse.
6.
Swing Points: Finds significant turning points in the price.
This indicator is specifically optimized for the New York trading session (9:30 AM to 4:00 PM ET), making it particularly suitable for traders who focus on US market hours. It provides a complete trading framework that includes not only signal generation but also precise trade management levels including entry prices, stop-loss orders, and profit targets based on a configurable reward-to-risk ratio.
The philosophy behind this indicator is confluence-based trading. Rather than relying on a single indicator or condition, it requires multiple factors to align before generating a trade signal. This approach filters out lower-probability setups and focuses only on high-quality opportunities where price action, trend direction, momentum, and key technical levels all point in the same direction.
CORE CONCEPT AND METHODOLOGY
Volume Weighted Average Price (VWAP)
VWAP is the cornerstone of this indicator's trading methodology. Unlike a simple moving average that treats all price bars equally, VWAP incorporates volume data into its calculation, giving more weight to bars with higher trading volume. This makes VWAP a more accurate representation of the true average price where the most significant trading activity occurred.
The calculation of VWAP is performed using the built-in 'ta.vwap()' function, which computes the cumulative volume-weighted average price from the beginning of the session. For intraday traders, VWAP serves as a critical reference point that indicates whether the current price is trading at a premium (above VWAP) or discount (below VWAP) relative to the session's volume-weighted average.
In this indicator, the VWAP source is configurable through the 'vwapSource' parameter, with the default being HLC3 (High + Low + Close / 3). This source selection allows traders to experiment with different price types such as typical price, weighted close, or even custom sources to suit their trading style and market preferences.
Average True Range (ATR) for Risk Management
The Average True Range, calculated using 'ta.atr()', measures market volatility by decomposing the current range of price movement. ATR does not indicate price direction;
instead, it quantifies the degree of price movement or volatility over a specified period. In this indicator, ATR serves dual purposes: determining the distance for limit orders and calculating stop-loss levels.
The 'atrLength' parameter (default: 14) controls the lookback period for the ATR calculation. A shorter length makes the indicator more responsive to recent volatility, while a longer length provides a smoother average that may be more suitable for less volatile markets. The 'atrMultiplier' (default: 1.5) determines how many ATR units away the stop-loss is placed from the entry price, allowing traders to adjust their risk exposure based on current market conditions.
Swing Detection and Support/Resistance
Swing points represent significant turning points in price action where the market has temporarily exhausted its directional momentum. This indicator uses pivot high and pivot low calculations to identify swing highs and swing lows, which then form the basis for dynamic support and resistance levels.
The 'swingLength' parameter (default: 5) defines how many bars to the left and right of a potential pivot point must be lower (for pivot highs) or higher (for pivot lows) to confirm the swing point. This lookback period helps filter out minor price fluctuations and focuses on more significant structural levels.
Support and resistance levels are stored in arrays ('swingHighArray' and 'SwingLowArray'), with the most recent swing points serving as the primary reference levels. The 'srLookback' parameter (default: 20) controls the overall lookback window and also determines how many
swing points to maintain in each array, ensuring that only relevant historical levels are considered.
Breakout Detection
When a price moves past a major support or resistance level, this is known as a price breakout. This price breakout suggests that there is a possibility of a new trend direction heading forward.Breakout detection eliminates noise, as little price fluctuations or volatility may momentarily drive prices past a threshold without authentic conviction.Detection of breakouts affirms robustness when the price above the threshold by 2%, indicating genuine market interest, and mitigates whipsaws to prevent placing trades based on transient price swings.
The Breakout Tolerance parameter, set by default to 2%, regulates the breakout tolerance for the indicator. A price closure above the current high plus a minor tolerance buffer (usually 2%) indicates a potential continuation of upward movement, classified as a Bullish Breakout. Conversely, when the price closes below the recent low plus a minor tolerance buffer (usually 2%), it suggests that the price may continue to decline, which is classified as a Bearish Breakout Down.
Trend Identification
Trend determination is accomplished through an Exponential Moving Average (EMA) with a configurable length ('trendMaLength', default: 9). The indicator classifies trend into three
states: BULLISH (price above EMA with confirmation from the previous bar), BEARISH (price below EMA with confirmation), and SIDEWAYS (price crossing or near the EMA).
The EMA is chosen over simple moving averages because it responds more quickly to recent price changes while still providing enough smoothing to filter out noise. The confirmation requirement (both current and previous bar must be on the same side of the EMA) reduces false signals during periods of choppy price action.
Momentum Analysis
Momentum is measured using the Relative Strength Index (RSI) with a configurable length ('momentumLength', default: 9). RSI values are categorized into five states to provide nuanced momentum readings: STRONG BULL (RSI above 70), BUILDING (RSI between 55 and 70), NEUTRAL (RSI between 45 and 55), WEAKENING (RSI below 45), and STRONG BEAR (RSI below 30).
This momentum categorization allows traders to distinguish between strong trending conditions (STRONG BULL/BEAR) and transitions (BUILDING/WEAKENING), providing context for trade signals and helping to avoid entering positions during momentum divergences.
CONFIGURATION PARAMETERS
VWAP Settings
The 'vwapSource' parameter determines which price value is used in the VWAP calculation. The default value of 'hlc3' (High + Low + Close / 3) provides a balanced representation of each bar's price action. Traders can modify this to use typical price ('high + low + close / 3'), weighted close ('high + low + close + close / 4'), or other price types depending on their analytical preferences.
ATR Settings
The 'atrLength' parameter sets the lookback period for the Average True Range calculation. The default of 14 periods is standard across most trading platforms and timeframes, providing a good balance between responsiveness and smoothness. The 'atrMultiplier' parameter (default: 1.5) scales the ATR value to determine stop-loss distances. A multiplier of 1.5 means the stop-loss is placed 1.5 ATR units away from the entry price, providing enough buffer to accommodate normal volatility while limiting risk.
Trade Settings
The 'rrRatio' parameter (default: 3.0) establishes the reward-to-risk ratio for trade targets. A ratio of 2.0 means the profit target is twice the distance of the stop-loss from the entry price. The 'limitOrderDistance' parameter (default: 0.5) determines how far below (for long trades)
or above (for short trades) the current close the limit order is placed, measured in ATR units. This allows traders to enter positions at better prices while waiting for pullbacks.
Swing Detection Settings
The 'swingLength' parameter (default: 5) controls pivot identification sensitivity. Higher values identify more significant swing points but may miss shorter-term opportunities. The 'showSwings' boolean parameter toggles the visual display of swing high and low points on the chart.
Support & Resistance Settings
The 'srLookback' parameter (default: 20) defines how many bars back to search for swing points and support/resistance levels. The 'breakoutTolerance' parameter (default: 0.02 or 2%) adds a small buffer to breakout detection to account for minor penetration of support/resistance levels due to price spikes or slippage.
Trend & Momentum Settings
The 'trendMaLength' parameter (default: 9) sets the EMA length for trend determination, while 'momentumLength' (default: 9) sets the RSI lookback period. Both should be at least 5 periods for meaningful calculations.
Table Settings
The 'showTable' parameter (default: true) enables the display of two information tables that provide real-time data on Indicator values and trade levels.
SIGNAL GENERATION LOGIC
Long Signal Conditions
A long signal is generated when all the following conditions are simultaneously true:
1.
Session Filter: The trade must occur during New York session hours (9:30 AM - 4:00 PM ET).
2.
Trend Confirmation: The trend must be BULLISH (price above EMA with confirmation).
3.
Price Position: Current price must be above VWAP, indicating bullish price action.
4.
Breakout or No Resistance: Either price is breaking out above resistance level with tolerance, or there is no prior resistance level to overcome.
5.
Momentum Alignment: Momentum must be either STRONG BULL or BUILDING.
This confluence of conditions ensures that long trades are only taken when the market is trending higher, price is confirming strength by trading above VWAP, and momentum is supportive of continued upward movement.
Short Signal Conditions
A short signal is generated when all the following conditions are simultaneously true:
1.
Session Filter: The trade must occur during New York session hours
2.
Trend Confirmation: The trend must be BEARISH (price below EMA with confirmation)
3.
Price Position: Current price must be below VWAP, indicating bearish price action
4.
Breakout or No Support: Either price is breaking down below support level with tolerance, or there is no prior support level to overcome
5.
Momentum Alignment: Momentum must be either STRONG BEAR or WEAKENING
Similar to long signals, short trades require alignment across multiple timeframes and analytical approaches, filtering out counter-trend trades and focusing on high-probability setups.
TRADE MANAGEMENT FRAMEWORK
Entry Price Calculation
For long trades, the limit order price is calculated as: 'Close - (ATR Value × Limit Order Distance)'. This places the entry price below the current close, allowing traders to buy on dips while maintaining a favorable entry price. For short trades, the limit order is placed above the current close: 'Close + (ATR Value × Limit Order Distance)'.
The limit order distance is expressed in ATR units, making it adaptive to current volatility conditions. In more volatile markets, the limit order will be placed further from the current price, while in calmer markets, it will be closer.
Stop-Loss Placement
Stop-loss levels are calculated using the ATR multiplier to ensure adaptive risk management. For long trades: 'Entry Price - (ATR Value × ATR Multiplier)'. For short trades: 'Entry Price + (ATR Value × ATR Multiplier)'.
This adaptive approach to stop-loss placement means that in volatile markets, stops are wider to avoid being stopped out by normal price fluctuations, while in quieter markets, stops are tighter to limit potential losses. The default multiplier of 1.5 provides approximately 1.5 times the average true range of protection.
Target Price Calculation
Profit targets are determined by the reward-to-risk ratio: 'Entry Price + (ATR Stop Distance × RR Ratio)' for long trades and 'Entry Price - (ATR Stop Distance × RR Ratio)' for short trades. The default ratio of 2.0 means the target is twice the distance of the stop-loss, providing a favorable risk-reward profile.
New York Session Tracking
The indicator includes specialized logic for tracking the New York session open price. When a new NY session begins (determined by the 'isNewNySession' variable), the current open price is recorded and maintained throughout the session. This provides a reference point for measuring intraday directional bias from the session's starting level.
INFORMATION TABLES
Indicators Table
This table displays the current price, VWAP value, NY session open price, support level,resistance level, ATR, ATR-scaled stop distance, current trend classification, momentum state with RSI value, and breakout status. All values are color-coded based on their bullish or bearish implications. The VWAP cell is color-coded green if price is above VWAP (bullish) and red if below (bearish), providing instant visual confirmation of price's position relative to this critical level.
Trade Levels Table
This table shows current signal status (LONG, SHORT, or WAIT), limit order distance in ATR units, calculated limit order price, stop-loss level, and target price with the reward-to-risk ratio displayed. The signal cell is highlighted in green for long signals and red for short signals.
ALERT CONDITIONS
The indicator includes four alert conditions that can be configured in TradingView:
1.
LONG Signal: Triggers when a long signal is generated, providing entry price, stop-loss, and target information.
2.
SHORT Signal: Triggers when a short signal is generated with corresponding trade details.
3.
Breakout Up: Notifies when price breaks out above resistance level.
4.
Breakout Down: Notifies when price breaks down below support level.
These alerts enable traders to receive notifications via TradingView's alert system without continuously monitoring the charts.
USAGE EXAMPLES AND TRADING SCENARIOS
Strong Bullish Trend with VWAP Support
In this scenario, price has been trading above the 9-period EMA for multiple bars, confirming a bullish trend. The current price is above VWAP, indicating buyers are willing to pay a premium. A recent swing low has established a support level, and RSI is reading 65, indicating building momentum without being overextended. When price breaks above the recent swing high resistance with a 2% tolerance, the indicator generates a long signal. The trader places a limit order below the current bar's close (0.5 ATR units) and sets the stop-loss 1.5 ATR units below the entry, with a target 2.0 times the stop distance away.
Short Setup During Volatile Session
During a particularly volatile NY session, price gaps down below VWAP early in the day. The 9-period EMA is declining, and both current and previous bars are below it, confirming a bearish trend. The RSI has dropped to 28, indicating strong bearish momentum. A recent swing high serves as resistance, and when price breaks below the swing low support level, the indicator generates a short signal. The trader enters on a limit order placed 0.5 ATR units above the current price, with the stop-loss 1.5 ATR units above the entry and the target at a 2.0 reward-to-risk ratio.
Avoiding Counter-Trend Trades
Consider a scenario where price is above VWAP and the RSI reads 72 (overbought), but the price is below the 9-period EMA and the previous bar was also below the EMA. In this case, the trend is classified as BEARISH (or SIDEWAYS) despite the bullish price position relative to VWAP. The indicator will not generate a long signal because the trend condition is not met, protecting the trader from what could be a bear trap or continuation pattern.
No Prior Levels Scenario
At the beginning of a trading session or after significant volatility has cleared prior swing points, there may be no established support or resistance levels in the lookback window. In this case, the breakout condition 'or na(resistanceLevel)' allows long signals to be generated without requiring a resistance level to be broken, enabling traders to participate in emerging trends without waiting for prior levels to form.
BEST PRACTICES AND TIPS
Timeframe Selection
This indicator is optimized for intraday timeframes (1-minute to 60-minute charts) and specifically for NY session trading. Higher timeframes may produce more reliable signals but fewer opportunities, while lower timeframes will generate more signals but with potentially lower reliability. Traders should backtest on their preferred timeframe before trading live.
Market Conditions
The indicator performs best in trending markets with clear directional bias. During ranging or sideways markets, the trend condition may oscillate frequently, and VWAP may oscillate around price, reducing signal quality. Consider filtering signals or reducing position size during low-volatility, range-bound conditions.
Parameter Optimization
While the default parameters have been selected for general applicability, traders should consider optimizing certain parameters for specific markets or instruments. For highly volatile instruments like crude oil or natural gas, increasing the 'atrMultiplier' to 2.0 or 2.5 may provide more appropriate risk management. For less volatile instruments like certain forex pairs, reducing the multiplier to 1.0 or 1.2 may improve signal quality.
Multiple Timeframe Analysis
For enhanced performance, traders can analyze the trend on a higher timeframe (such as 15-minute or hourly) while taking signals on a lower timeframe (such as 5-minute or 1-minute). This multi-timeframe approach ensures that signals are aligned with the larger trend direction.
Risk Management
While the indicator provides calculated stop-loss levels, traders should consider their overall position sizing and portfolio risk. The ATR-based stops provide a market-adaptive approach, but individual risk tolerance and account size should ultimately determine position sizing. The 2.0 reward-to-risk ratio is fixed but can be adjusted based on personal preferences or the specific characteristics of the instrument being traded.
INTEGRATION WITH TRADINGVIEW
Adding the Indicator
To add this indicator to a TradingView chart, paste the code into the Pine Script editor and click "Add to Chart." The indicator will appear in the chart's sidebar and begin calculating immediately once sufficient historical data is available.
Configuring Alerts
To set up alerts, right-click on any of the alert conditions in the indicator's settings panel (long signal, short signal, breakout up, or breakout down) and select "Add Alert." Configure the alert frequency and notification methods (push notification, email, webhook, etc.) according to your preferences.
Customization
All input parameters can be adjusted through the indicator's settings panel without modifying the source code. Traders can experiment with different VWAP sources, ATR lengths and multipliers, swing detection parameters, and table display options to suit their trading style and market preferences.
LIMITATIONS AND CONSIDERATIONS
Session Dependency
The indicator is specifically designed for NY session trading and will not generate signals outside these hours. Traders focused on other sessions or 24-hour markets may need to modify the session string to match their trading hours.
Historical Data Requirements
The indicator requires sufficient historical data to accurately calculate swing points and support/resistance levels. On lower timeframe charts with limited history, the initial signals may be less reliable until adequate swing points are identified.
Lag in Swing Detection
By definition, swing points are confirmed after the price has moved away from them, introducing some lag into support/resistance identification. Traders should be aware that the most recent swing point may not be confirmed until several bars after it occurs.
Not Financial Advice
This indicator is a technical analysis tool and should not be construed as financial advice. Traders are responsible for their own research and risk management decisions. Past performance of any trading system does not guarantee future results.
SUMMARY
The code follows a logical flow:
•
Version and Declaration: Pine Script version 6 indicator declaration with overlay enabled
•
Input Parameters: All user-configurable settings grouped by category
•
Session Logic: New York session tracking and open price recording
•
Core Calculations: VWAP, ATR, EMA, RSI, swing points
•
Support/Resistance Logic: Array-based storage and retrieval of swing levels
•
Trend and Momentum Classification: Categorization of current market state
•
Signal Generation: Confluence-based long and short conditions
•
Trade Level Calculations: Entry, stop-loss, and target pricing
•
Visual Plots: Hidden plots for alert data access
•
Information Tables: Real-time display of key values
•
Alert Conditions: Four configurable alert triggers
This structured approach ensures clarity, maintainability, and extensibility for future modifications or enhancements.
Sebastine All in One Indicator Sebastine All in One Indicator
Introduction
Markets speak in many dialects.
Sometimes they whisper through volume, sometimes they shout via momentum, at times they breathe through volatility, and occasionally they leave footprints in OBV, PVT, RSI, or TSI.
Most traders respond by stacking indicator after indicator—until the chart resembles a tangled fishing net.
This indicator was built to untangle that net.
Instead of plotting multiple indicators simultaneously, this tool lets you focus on one dimension of market behavior at a time, while preserving structure through a Darvas-style box framework.
The box logic used here is inspired by Darvas-style structural bounding, applied to non-price data such as volume, momentum, and volatility.
🔍 What This Indicator Does
• Combines Volume, OBV, PVT, RSI, Momentum, Volatility, TSI, and Supertrend
• Displays only one selected data stream at a time, reducing noise
• Wraps the selected indicator inside a dynamic Darvas-style box
• Highlights:
o Breakouts & breakdowns
o Compression (energy build-up)
o Structural shifts
o Momentum inflections
o Mean-reversion zones
Think of it as one lens, many filters—you rotate the lens, not clutter the chart.
🧠 How to Use It (Practical Insight)
• Volume / OBV / PVT → Institutional intent & accumulation/distribution
• Momentum / RSI / TSI → Strength, exhaustion, and early reversals
• Volatility → Expansion after contraction (the market’s deep breath)
• Supertrend (as data source) → Trend structure without price bias
The Darvas-style box adds context:
• Narrow boxes = stored energy
• Box expansion = energy release
• Source touching box edges = reaction zones
• Zero-line crossings = regime shifts (where applicable)
• 🎯 Who Is This For?
• Traders who want clarity over clutter
• Discretionary traders who adapt tools to market phase
• System builders seeking structure with flexibility
• Anyone who believes less noise = more signal
📝 Points to Note (Important for Proper Interpretation)
1. Color Coding & Structure
• The upper box line (green) represents the upper structural boundary
• The lower box line (red) represents the lower structural boundary
• The white step-line represents the selected source indicator (e.g., PVT, RSI, Momentum)
2. Pane Scaling & Visibility (Very Important)
• This indicator is designed for use in the bottom pane
• Different sources have very different numerical ranges:
o RSI is bounded between 0 and 100
o PVT, OBV, and Volume can have large absolute values
• Users should manually drag and scale the indicator vertically for optimal visibility
• This is intentional and preserves the raw integrity of each data source rather than force-normalizing it
3. Histogram for Comparative Insight
• A histogram of the selected source is included for quick visual comparison
• Helps identify expansion, contraction, acceleration, and divergence, especially during compression phases inside the box
📌 Recommended Usage (Clarity Over Clutter)
Although multiple sources are available, it is strongly recommended to use one chart with one selected source at a time for best clarity and analytical depth.
For first-time users, PVT (Price Volume Trend) is an ideal starting point.
It blends price movement and volume flow into a single continuous narrative and often reveals institutional participation earlier than price alone. PVT works especially well within the Darvas-style box framework.
Once comfortable, users may switch to RSI, Momentum, Volatility, OBV, or other sources—but always one at a time. This preserves the philosophy of focused observation rather than indicator overload.
🌱 Philosophy Behind the Tool
This indicator rewards patience and observation.Give it space.
It will quietly show when the market is gathering energy—and when it is ready to move.
Markets don’t change indicators. We change how we listen.
This indicator doesn’t predict. It reveals.
Think of it not as a dashboard, but as a rotating telescope—you change lenses, not skies.
