Ross GPT - Momentum Scalp 1mThis strategy is a long-only momentum scalping system designed for the 1-minute timeframe, combining VWAP, EMA trend alignment, MACD momentum, volume confirmation, and session filtering to identify high-probability intraday entries for pre-market session and U.S small cap stocks with high % change compared to previous day. Apply only for stock price between $2-$20.
⸻
1️⃣ Date Range Filter
The strategy trades only within a user-defined date range.
• Default range: Feb 1, 2026 – Dec 31, 2069
• Trades are ignored outside this period
• Useful for controlled backtesting and forward testing
⸻
2️⃣ Indicators Used
VWAP
• Used as a trend and mean-reversion filter
• Only long trades are allowed when price is above VWAP
MACD (12, 26, 9)
• Momentum confirmation
• Entry requires MACD line > Signal line
• Exit is triggered if MACD crosses below Signal
Exponential Moving Averages
• EMA 9
• EMA 20
• EMA 50
• EMA 200 (visual reference)
Trend Bias Requirement
• Bullish alignment:
• EMA 9 > EMA 20 > EMA 50
Volume Strength (Price Action Proxy)
• Counts bullish candles over the last 5 bars
• Entry requires at least 3 green candles
• Used as a confirmation of buying pressure
⸻
3️⃣ Session Filter
Trades are allowed only during a specific intraday session:
• 06:59 – 09:00 (exchange time)
• Designed to focus on high-liquidity morning momentum
⸻
4️⃣ Entry Conditions (Long Only)
A buy signal is generated when all of the following are true:
• Price is above VWAP
• MACD line is above Signal line
• EMA alignment confirms bullish trend
• Bullish candle count condition is met
• Current bar is within the allowed session
• Current bar is within the selected date range
• No existing open position
Only one position at a time is allowed.
⸻
5️⃣ Trade Execution
• Market entry when all conditions align
• Fixed position sizing (default: 500 units)
• Commission and slippage are included for realism
⸻
6️⃣ Exit Logic
Primary Exit (Bracket Order)
• Take Profit: +0.25
• Stop Loss: -0.10
• Managed using strategy.exit for intra-bar accuracy
Indicator-Based Exit
• If MACD crosses below the Signal line, the position is closed immediately at market
This dual exit system allows both quick scalps and early momentum failure exits.
⸻
7️⃣ Visual Aids
The strategy plots all key indicators used in decision-making:
• EMA 9, 20, 50, 200
• VWAP
This allows easy visual verification of entries and exits directly on the chart.
⸻
⚠️ Notes
• Designed for scalping and short-duration trades
• Best suited for high-liquidity instruments
• Results may vary depending on symbol, spread, and market conditions
• This script is for educational and research purposes only
Ketidakstabilan
Friendly Stretch Band Regime + Filters (Close Confirm + Hold)What it is
A calm, regime-based stretch band that highlights only three states: BUY zone, SELL zone, and Neutral. Designed to reduce noise and visual overload by avoiding markers, labels, and background tint.
How it works
Bands are built from an EMA basis ± ATR.
BUY Zone: price below lower band (lower band turns green)
SELL Zone: price above upper band (upper band turns red)
Neutral: price inside bands (bands grey)
Stability Options
Confirm on Close: requires CLOSE beyond the band (reduces wick spikes)
Hold Bars: holds zone state for N bars after the trigger ends (reduces flicker)
Optional Filters (applied only if enabled)
Trend filter (basis slope or slow EMA)
ATR expansion gate
Minimum exceed beyond band (ATR units)
Suggested Use
Best used as a clean “location/context” tool on swing timeframes (e.g., 4H). It can be paired with a separate momentum/confirmation tool.
Repainting & Disclaimer
Uses only current and historical bar data (no security() calls). Values may update on the realtime bar before close. Educational use only; not financial advice.
Bank CRE Stress & Short Risk Overlay + Dashboard
🏦 Bank CRE Short-Selling Dashboard:
- Expands the static database to better match the dashboard's highCRE + shortCandidates.
- Uses CRE ratio thresholds from dashboard (e.g., critical ~>500%, high ~400-500%, etc.).
- Keeps price stress logic (you can tweak it).
- Includes more failed/failed-like flags.
Access the Live Risk Monitoring & Trade Opportunities 🏦 Bank CRE Short-Selling Dashboard
claude.ai
ATR/Structure Trail Stop Loss This indicator is a high-performance trend-following tool designed to help traders stay in winning positions for maximum "R" gains. It solves the common problem of getting stopped out too early by combining Volatility (ATR) with Market Structure (Price Action Swings).
How it Works
The script calculates two different stop-loss levels and automatically chooses the most "conservative" one to protect your capital:
ATR Stop: Measures the current market volatility. If the market gets wild, the stop widens. If the market gets calm, the stop tightens.
Structure Stop: Looks at the lowest lows (for Longs) or highest highs (for Shorts) of the last few candles. This ensures you don't stay in a trade if the actual price trend breaks.
Key Features
Hybrid Logic: The stop strictly follows Closing Prices to prevent "wick-outs" from temporary spikes.
Trend Dashboard: A real-time table tracks ADX (Trend Power).
"RUN IT": High momentum; keep trailing for 12R–30R targets.
"TIGHTEN": Momentum is dying; consider locking in profits.
Visual Diamonds: Uses a Step-Line style with diamonds to show exactly when your stop-loss "locks in" a new level.
How to Use It (Step-by-Step)
Entry: Enter your trade based on your standard breakout strategy.
Initial Risk: Use the Initial Stop (5 points) until the price moves in your favor.
The Trail: Once the trend establishes, follow the Light White Diamonds.
Scaling: Use the ATR Multiplier input to adjust the "breathing room."
Lower Multiplier (e.g., 1.5): Tighter trail, good for scalp targets.
Higher Multiplier (e.g., 2.5+): Wider trail, best for catching 30R monster moves.
Exit: Close the position immediately when a candle closes on the opposite side of the diamonds.
Midas Decision Dashboard (XAU)Midas Decision Dashboard (XAU)
Indicator Overview
Midas Decision Dashboard (XAU)** is a high-precision strategic tool specifically engineered for Gold (XAU/USD) scalping on lower timeframes like M1 and M5. Instead of providing a single, lagging signal, the dashboard acts as a "Mission Control" center, synthesizing four core market dimensions and real-time Price Action into a live, weighted scoring matrix.
The Four Strategic Pillars
The dashboard evaluates the market using a weighted logic system to ensure no single indicator triggers a false entry:
📈 TREND ANALYSIS (EMA 200 - 20%): Monitors the 200-period Exponential Moving Average to establish the primary market direction (BULL/BEAR/FLAT).
⚡ POWER & STRENGTH (ADX - 45%): The engine of the strategy. A high weight ensures you only engage when real trend strength is present. **WEAK** power is highlighted in Light Yellow to signal low-volatility caution.
🔥 MARKET ENERGY (CHOP - 25%): A sophisticated volatility meter that identifies BREAKOUT phases while flagging dangerous CONSOLIDATION zones in red to avoid sideways traps.
🌊 MOMENTUM SAFETY (RSI - 10%): Provides a final safety layer to prevent buying at overextended peaks or selling at oversaturated bottoms.
Dynamic Scoring & Signal Hierarchy
The system calculates a live score (0-100%) based on active conditions. The **🎯 SIGNAL** row triggers a verdict using a professional traffic-light system:
🟢 GO (80% - 100%): High-conviction alignment. All major pillars are in sync for an entry.
🟡 WAIT (50% - 79%): The market is developing, but full confirmation is currently missing.
🔴 STOP (Below 50%): Low-probability environment. No trade zone.
Disclaimer
Trading gold involves significant risk. This dashboard is a decision-support tool and should be used in conjunction with a proper risk management strategy.
Range Volatility Oscillator [Session Adjusted]Description
This open-source indicator calculates a volatility oscillator based purely on price range expansion/contraction (High − Low), making it especially suitable for instruments with well-defined trading sessions (FTSEMIB, DAX, ES, NQ, forex majors during London/NY overlap, etc.).
Instead of using price returns or close-based volatility, it compares short-term and long-term simple moving averages of the daily range, then expresses the relative difference as a percentage oscillator — similar in spirit to a MACD-style momentum readout, but applied to volatility itself.
Core Concept
Fast SMA(range, fast × candles_per_session)
Slow SMA(range, slow × candles_per_session)
Oscillator = 100 × (Fast / Slow − 1)
Positive values → recent ranges are expanding compared to the longer-term average (rising volatility / potential trend acceleration or breakout environment).
Negative values → ranges are contracting (falling volatility / potential consolidation or mean-reversion setup).
Zero line acts as the neutral pivot between expanding vs contracting regimes.
Key Features
- Session-aware calculation — user inputs session duration (default 6.5 h) → automatically estimates how many candles = 1 trading day on the current timeframe
- Works on any timeframe (1 min → daily), including irregular ones
- Optional signal line (SMA of the oscillator) for smoother readings and crossover strategies
- Clean, minimalistic plot with customizable colors
- Zero line always visible (dotted)
Typical Usage Ideas
- Rising oscillator + above zero → increasing volatility → favor momentum / breakout / trend-following strategies
- Falling oscillator / below zero → decreasing volatility → consider mean-reversion, tightening stops, or waiting for compression → expansion setups
- Signal line crossovers — fast line crossing above signal = short-term volatility pickup, crossing below = volatility cooling
- Divergences between price and the oscillator can sometimes highlight weakening trends (classic volatility divergence)
Combine with trend filters (EMA, VWAP, SuperTrend), support/resistance or volume for higher-probability setups.
Recommended Starting Settings
Session Duration: 6.5–8.5 hours (adjust to your market — e.g. 8.5 for many European indices, 6.5 for US regular session).
Fast SMA Length: 5 days
Slow SMA Length: 15 days
Signal-line Length: 3 days (if enabled)
Best results usually appear on intraday timeframes (3 min – 30 min) and on instruments with clear session boundaries and meaningful daily ranges.
Notes / Limitations
- Pure range-based → ignores gaps, overnight moves and volume
- Not normalized to ATR or percentage of price → readings are relative within each instrument
- Very low-liquidity / very small-range instruments may produce noisy output
Released under open source — feel free to modify, combine with other logic or use in strategies.
Feedback and improvements are welcome!
Tanh Clamped Momentum Oscillator [Alpha Extract]A sophisticated momentum measurement system that combines dual EMA trend analysis with volatility-weighted pressure calculations, applying hyperbolic tangent normalization for bounded oscillator output with adaptive signal generation. Utilizing ATR-based volatility regime detection and candle pressure metrics, this indicator delivers institutional-grade momentum assessment with multi-tiered band structure and pulse-based envelope visualization. The system's tanh clamping methodology prevents extreme outliers while maintaining sensitivity to genuine momentum shifts, combined with histogram divergence detection and comprehensive alert framework for high-probability reversal and continuation signals.
🔶 Advanced Dual-Component Momentum Engine
Implements hybrid calculation combining EMA trend differential with candle pressure analysis, weighted by volatility regime assessment for context-aware momentum measurement. The system calculates fast and slow EMA difference normalized by ATR, measures intrabar pressure as close-open relative to range, applies volatility-based weighting between trend and pressure components, and produces composite raw momentum capturing both directional bias and internal candle dynamics.
// Core Momentum Framework
EMA_Fast = ta.ema(src, Fast_Length)
EMA_Slow = ta.ema(src, Slow_Length)
Trend = EMA_Fast - EMA_Slow
// Volatility Regime Detection
ATR_Short = ta.atr(ATR_Length)
ATR_Long = ta.atr(ATR_Length * 2)
Vol_Ratio = ATR_Short / ATR_Long
Vol_Weight = clamp((Vol_Ratio - 0.5) / 1.0, 0, 1)
// Pressure Component
Pressure = (close - open) / (high - low)
// Composite Momentum
Raw = Trend_Normalized * Vol_Weight + Pressure_Scaled * (1 - Vol_Weight)
🔶 Hyperbolic Tangent Normalization Framework
Features sophisticated tanh transformation that clamps raw momentum into bounded range while preserving proportional sensitivity across varying market conditions. The system applies safe exponential calculations with input capping to prevent overflow, computes hyperbolic tangent to compress extreme values while maintaining linearity near zero, and scales output by configurable factor creating oscillator with enhanced dynamic range and reduced outlier distortion.
// Tanh Clamping Logic
tanh(x) =>
x_clamped = clamp(x, -5.0, 5.0)
e = exp(2.0 * x_clamped)
(e - 1.0) / (e + 1.0)
Oscillator = tanh(Smoothed_Momentum / Clamp_Factor) * Scale
🔶 Volatility Regime Weighting System
Implements intelligent volatility assessment comparing short-term and long-term ATR to determine market regime, dynamically adjusting weight between trend and pressure components. The system calculates ATR ratio, normalizes to 0-1 range, and uses this weight factor to emphasize trend component during high-volatility regimes and pressure component during low-volatility consolidations, creating adaptive momentum sensitive to market microstructure.
🔶 Multi-Tiered Band Architecture
Provides comprehensive threshold structure with soft, hard, and maximum bands marking progressive momentum extremes for graduated overbought/oversold assessment. The system establishes configurable levels at soft zones (initial caution), hard zones (strong extreme), and maximum zones (critical overextension) with visual differentiation through line styles and background highlighting, enabling nuanced interpretation beyond binary extreme detection.
🔶 Pulse Envelope Visualization
Features dynamic envelope bands calculated from exponential moving average of absolute oscillator value, creating adaptive boundary that expands during momentum acceleration and contracts during deceleration. The system applies configurable length and width multiplier to pulse calculation, fills area between positive and negative pulse bounds with gradient coloring matching oscillator direction, providing visual context for momentum magnitude relative to recent activity.
🔶 Signal Line Integration Framework
Implements dual-mode signal line supporting both EMA and SMA smoothing of primary oscillator for crossover-based swing detection. The system calculates configurable-length moving average, generates histogram differential between oscillator and signal, applies additional smoothing to histogram for noise reduction, and uses crossovers/crossunders as momentum swing indicators distinguishing bullish and bearish momentum shifts.
🔶 Histogram Divergence Display
Creates column-style histogram visualization showing oscillator-signal differential with intensity-based coloring reflecting momentum acceleration or deceleration. The system plots histogram bars in bright colors when expanding (accelerating momentum) and faded colors when contracting (decelerating momentum), enabling instant visual identification of momentum divergences and convergences without numerical analysis.
🔶 Advanced Reversion Signal Logic
Generates overbought/oversold signals requiring both signal line crossover and extreme threshold breach for high-conviction reversal identification. The system triggers oversold when oscillator crosses above signal while below negative reversion level, triggers overbought when crossing below signal while above positive reversion level, and plots small circle markers at signal locations for clear visual confirmation of setup conditions.
🔶 Comprehensive Alert Framework
Provides six distinct alert conditions covering overbought/oversold reversions, midline trend changes, and oscillator-signal swings with configurable notification preferences. The system includes alerts for extreme reversions (OB/OS), zero-line crossovers (trend changes), and signal line crossovers (momentum swings), enabling traders to monitor critical oscillator events across multiple signal types without constant chart observation.
🔶 Adaptive Bar Coloring System
Implements four coloring modes including midline cross (trend direction), extremities (threshold breach), reversions (OB/OS signals), and slope (oscillator vs signal) for customizable visual integration. The system applies selected color scheme to candles providing chart-level momentum feedback, with option to disable coloring for minimal visual interference while maintaining oscillator pane analysis.
🔶 Performance Optimization Architecture
Utilizes efficient tanh calculation with safe clamping, streamlined EMA computations, and optimized ATR ratio processing for smooth real-time updates. The system includes intelligent null handling, minimal recalculation overhead through smart smoothing application, and configurable display toggles allowing users to disable unused visual elements for enhanced performance during extended historical analysis.
🔶 Why Choose Tanh-Clamped Momentum Oscillator ?
This indicator delivers sophisticated momentum analysis through hybrid trend-pressure calculation with volatility-adaptive weighting and hyperbolic tangent normalization. Unlike traditional momentum oscillators susceptible to extreme outlier distortion, the tanh clamping ensures bounded output while preserving sensitivity to genuine momentum shifts. The system's dual-component architecture combining directional trend with intrabar pressure, weighted by volatility regime assessment, creates context-aware momentum measurement that adapts to market microstructure. The multi-tiered band structure, pulse envelope visualization, and comprehensive signal framework make it essential for traders seeking nuanced momentum analysis with graduated extreme detection and high-probability reversal signals across cryptocurrency, forex, and equity markets.
ATR-Based Z-Score (with Signal Line)The ATR-Based Z-Score is an advanced, volatility-normalized oscillator designed to identify extreme price deviations more reliably than the standard Z-Score.
By replacing the traditional Standard Deviation with the Average True Range (ATR) in the denominator, this indicator eliminates the "volatility paradox" where rapid price spikes cause standard oscillators to prematurely return to zero, even as the price continues to crash.
Why this version is superior
In a classic Z-Score calculation:
Z = (Price - SMA) / (Standard Deviation)
A sudden impulsive price drop causes the Standard Deviation to explode. Because you are dividing by a rapidly increasing number, the Z-Score often "rises" while the price is still falling.
The ATR-Based Solution:
Z = (Price - SMA) / ATR
By using a long-period ATR as the denominator, the volatility measure remains stable and "clean." This ensures that the indicator’s troughs align much more accurately with actual price bottoms, staying in the oversold territory until the momentum truly shifts.
Key Features
Volatility Cleaning: The ATR-normalization prevents the indicator from "flattening out" during impulsive price movements.
Integrated Signal Line: A customizable Moving Average of the Z-Score values helps filter noise and confirms entry/exit points.
Independent Periods: You can set the Price MA (responsiveness) and the ATR (volatility baseline) separately to fine-tune the indicator to different timeframes.
How to Trade with it
1. Mean Reversion (Buy the Dip / Sell the Rip)
Long: Wait for the Z-Score to drop below a significant level (e.g., -10.0). Enter when the Z-Score crosses back above its Signal Line.
Short: Wait for the Z-Score to rise above +10.0 and enter when it crosses below the Signal Line.
2. Breakout Trading
A strong push of the Z-Score beyond the +/- 7.0 levels can indicate a powerful trend breakout.
In this case, the Signal Line crossover serves as an effective Exit Signal, telling you that the initial momentum of the breakout is fading.
Summary
✅ This indicator is designed for traders who find standard oscillators too "nervous" during volatile periods. By decoupling price deviation from immediate variance spikes, the ATR-Based Z-Score provides a rock-solid foundation for identifying true market extremes and high-probability reversal points.
Cumulative Volume Delta[MIT]Cumulative Volume Delta Depth
This indicator provides a simplified approximation of Cumulative Volume Delta based on candlestick structure, helping to estimate short-term aggressive buying vs. selling pressure.
Core Calculation Logic:
Delta ≈ Volume × (Close - Open) / (High - Low)
- Positive Delta when the candle has a strong bullish body (more aggressive buying)
- Negative Delta when the candle has a strong bearish body (more aggressive selling)
- Near zero when the body is very small (indecision / balanced pressure)
Key Features:
- Column chart shows cumulative Delta (resets on new day by default)
- Orange line = smoothed Delta (default 5-period SMA)
- Teal tint for positive values, maroon tint for negative values
- Zero line for easy visual reference of net buying/selling shifts
Use Cases:
- Identify short-term buying/selling dominance
- Spot divergences (e.g. price makes new high but Delta fails to confirm → potential exhaustion)
- Works best on high-volume instruments (futures, crypto, liquid stocks)
Limitations:
- This is an approximation based on OHLC structure, NOT real tick-by-tick order flow
- Long shadows, small bodies, gaps, or low-volume bars may distort the result
- Best used in combination with other volume/price tools (VWAP, OBV, volume spikes, etc.)
Parameters:
- Cumulative Period: Controls lookback/reset logic (default 200 bars)
- Smoothing Period: Length of Delta moving average (default 5)
- Show MA: Toggle orange smoothed line on/off
这是一个基于K线形态粗估的累计成交量Delta指标，用于近似判断短期内主动买方与主动卖方的力量对比。
核心计算逻辑：
Delta ≈ Volume × (Close - Open) / (High - Low)
- 当阳线实体较长时，Delta为正值（偏向买方主动）
- 当阴线实体较长时，Delta为负值（偏向卖方主动）
- 小实体或十字星时Delta接近0
指标特点：
- 柱状图显示累计Delta（可每日重置）
- 橙色线为Delta的平滑均线（默认5周期，可调）
- 正值区域用青色系着色，负值区域用酒红色系着色
- 零轴辅助线，便于观察多空转折
适用场景：
- 辅助判断日内/短线多空力量变化
- 结合价格走势观察是否有背离（价格创新高但Delta不创新高，可能见顶）
- 适合期货、加密货币、活跃股票等成交量较大的品种
局限性：
- 这只是基于K线结构的近似估算，并非真实逐笔方向分类
- 对长影线、小实体K线或跳空行情可能失真
- 建议结合其他量价指标（如VWAP、OBV、成交量放大）一起使用
参数说明：
- 累计周期：控制Delta是否每日/每周重置（默认200根，建议设大值保持连续性）
- 平滑周期：Delta平滑均线的长度（默认5）
- 显示均线：是否显示橙色平滑线
Price Range AnalyzerPrice Range Analyzer - 365-Day Market Context
Get instant market perspective with key price metrics calculated from daily timeframe data, regardless of your current chart interval.
📊 KEY FEATURES:
- 365-Day High/Low with percentage distance from current price
- Range Position indicator (0-100%) with color-coded zones
- Comparison vs 365-day average price
- ATR-based volatility assessment
- Automatic adaptation for new assets (uses available data)
- Clean, professional table (top-left position)
- Optional visual lines on chart
🎯 WHAT IT SHOWS:
1. 365D High - Highest price in period + % below current
2. 365D Low - Lowest price in period + % above current
3. Range Position - Where price sits in the range:
• 🟢 Very Low (0-20%): Strong buy zone
• 🟢 Low (20-40%): Bullish territory
• 🟡 Mid (40-60%): Neutral zone
• 🟠 High (60-80%): Bearish territory
• 🔴 Very High (80-100%): Strong sell zone
4. vs 365D Average - Distance from mean (reversion signal)
5. Volatility - ATR as % of price (Low/Medium/High)
💡 USE CASES:
- Quick assessment of support/resistance zones
- Identify overbought/oversold conditions
- Mean reversion trading opportunities
- Risk assessment via volatility levels
- Works on ALL timeframes (always uses daily data)
- Perfect for new listings (auto-adjusts to available history)
⚙️ SETTINGS:
- Adjustable lookback period (30-730 days)
- Toggle high/low/average lines on chart
- White background optimized table
Clean, simple, actionable. Know exactly where you stand in the bigger picture at a glance.
High Breakout PRO Huy Hoang Trader
High Breakout PRO - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
---
*Developed by Huy Hoang Trader. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
Binary Options Strategy 1-5-15-30-90 Sec & Min [TradingFinder]🔵 Introduction
Market behavior is not defined by randomness, but by order positioning, structural pressure, and directional imbalance. Every expansion or rejection in price is the result of how the market distributes orders around critical structural areas. These reactions become visible only when price reaches zones where participation and exposure are at their highest.
Price naturally migrates toward areas of unfinished business, levels where previous moves left behind unfilled orders or weak structure. When these areas are reached, the market often produces a temporary structural violation, creating the appearance of continuation while internally transitioning to the opposite side.
These brief violations are not failures of structure; they are transitional events. Their purpose is to exhaust one side of the market, absorb remaining orders, and prepare price for a directional response. Once this process is complete, price tends to react sharply as balance is restored and a new directional phase begins.
Reactions frequently originate from price inefficiencies and institutional positioning zones, where rapid movement previously occurred without sufficient interaction. When price revisits these areas after a structural trap, it often delivers decisive and controlled responses.
This screener is designed to detect these transition moments, when structural pressure, order absorption, and directional intent align. By isolating these conditions across multiple symbols, it converts complex market mechanics into clear, actionable structural signals, allowing traders to focus on moments where price behavior reflects intention rather than noise.
Bullish Signal :
Bearish Signal :
🔵 How to Use
This screener is built to identify structural reaction points where the market completes a directional phase and begins a new one. Instead of tracking price continuously, it scans for moments when pressure, exhaustion, and response converge at key structural locations.
The output of the screener should be treated as a filter, not a final decision. Each flagged symbol highlights a scenario where price behavior suggests a potential directional response. Traders are expected to confirm context, execution timing, and risk parameters on the chart before entering a position.
🟣 Long Setup
A bullish scenario is detected when price transitions from a downward phase into an area where sell pressure weakens and absorption occurs. This typically happens after price extends below recent structural lows, reaching a zone where downside continuation becomes inefficient.
In this region, price often shows signs of failed continuation. The market temporarily pushes lower but lacks follow-through, indicating that selling interest is being absorbed. Shortly after, price stabilizes and begins to react upward from a structurally sensitive area.
When the screener identifies this sequence, downward expansion, structural failure, and upward reaction, it flags the symbol as a potential long opportunity.
This condition reflects a shift from distribution to accumulation, where downside momentum is exhausted and buying pressure starts to dominate. For execution-based strategies, the optimal entry usually occurs shortly after the market confirms the reaction and begins to move away from the structural zone.
🟣 Short Setup
A bearish scenario is detected when price advances into an area where buy pressure becomes overstretched and upward continuation loses efficiency. This often occurs after price trades above recent structural highs, entering a zone where aggressive buying is met with strong opposing interest.
In these areas, price frequently produces a temporary expansion higher followed by hesitation or rejection. The inability to sustain movement above the level signals that buying momentum is being absorbed and that the market is preparing for a directional shift.
When the screener detects upward extension followed by structural weakness and downside response, it flags the symbol as a potential short opportunity.
This setup represents a transition from accumulation to distribution, where control shifts from buyers to sellers. The most effective execution window typically appears immediately after price confirms rejection and starts moving away from the upper structural zone, as reactions tend to be fast and decisive once the transition completes.
🔵 Settings
Swing Period : Determines how many candles are used to identify structural turning points such as swing highs and swing lows. Higher values increase accuracy but reduce the number of signals.
Signal Type : Specifies the type of signal generated by the indicator. The option All shows every signal, Main Signal displays only the primary one, and Alternative Signal produces a secondary signal that appears one candle after the main signal for additional confirmation.
Candle Pattern : Enables candle pattern logic for reversal confirmation. When active, the indicator issues a signal only when a valid candle formation confirms the market reaction.
Candle LookBack Check : Verifies that the last few candles move in the opposite direction of the signal to be generated. This condition acts as a confirmation filter, ensuring that the signal appears only after a clear counter-move in price.
Last Candle Direction : Considers the direction of the most recent candle in the analysis. It helps determine whether the final candle moves with or against the current trend.
Last Candle Shadow Ratio : Sets the ratio between the last candle’s wick and body to refine confirmation accuracy. Higher values require longer wicks, indicating stronger rejection and a more reliable reversal pattern.
Table on Chart : This setting enables or disables the on chart screener table. When enabled, the table displays signal status, correlation information, and symbol data directly on the chart. When disabled, the chart remains clean with no table overlay.
Number of Symbols : This option controls how many symbol pairs are displayed in the screener table. Users can choose between four or six pairs depending on screen size and personal preference.
Table Size : This setting adjusts the visual scale of the screener table. Smaller sizes are suitable for minimal layouts, while larger sizes improve readability when monitoring multiple pairs simultaneously.
Table Mode : This setting offers two layout styles for the signal table.
Basic mode displays symbols in a single vertical column, using more vertical space and providing straightforward readability.
Extended mode arranges symbols in pairs side by side, optimizing screen space with a more compact and efficient layout.
Table Position : This option defines where the screener table is placed on the chart. The table can be positioned in any corner or central area to avoid overlapping with price action or other indicators.
🔵 Conclusion
Markets move through a continuous cycle of expansion, exhaustion, and response. Understanding this cycle requires more than observing price direction; it demands recognizing where pressure builds, where it fails, and where control shifts from one side of the market to the other.
This screener is designed to isolate those moments of transition. By filtering symbols based on structural interaction, absorption, and reaction, it highlights situations where price behavior reflects intentional movement rather than random fluctuation. Instead of reacting to every candle or chasing momentum, traders can use this tool to focus on selective, high-quality scenarios where directional probability improves due to completed structural processes.
The true value of this screener lies in its ability to reduce noise, compress complex market mechanics into actionable signals, and support disciplined decision-making. When used with proper context and risk control, it becomes a powerful framework for identifying moments when the market reveals its next directional phase.
Consistency with this approach comes not from frequency, but from patience, confirmation, and a clear understanding of how price transitions between phases. Those who learn to wait for these transitions gain a significant advantage in reading and responding to market behavior.
VWAP Suite - Session (Free) - OptionsHUB🟦🟥🟩 OPTIONSHUB · VWAP PLAYBOOK
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⭐ TradingView: OptionsHUB (follow + add to favorites — helps us ship updates faster)
🌐 Website: optionshub.pro (research, updates, ecosystem)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🚦 What This Indicator Is
VWAP Suite — Session (Free) is a clean Session VWAP module with:
🟦 Session VWAP
📏 Volume-weighted ±1σ / ±2σ bands
🎨 Optional band fill
Native note: for Anchored VWAP, interaction stats, HTF alignment, and regime context — see VWAP Suite (Pro) .
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🧠 How It Works
· During each session, the script accumulates ΣV, Σ(V·Price), and Σ(V·Price²).
· VWAP = Σ(V·Price) / ΣV → the session’s volume‑weighted fair price.
· Variance = Σ(V·Price²)/ΣV − VWAP² → σ = √Variance.
· Bands are plotted as VWAP ±1σ and ±2σ to show typical vs extreme deviations.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎛️ How to Read It
🟦 VWAP = session fair value / balance area (where volume traded most).
📏 σ bands = deviation zones around VWAP:
· ±1σ = normal working range (typical price rotation)
· ±2σ = extreme deviation (imbalance / mean‑reversion risk)
🧭 Context tips:
· Price above VWAP → buyers in control; below → sellers in control.
· Frequent VWAP crosses → balanced / choppy session.
· Holding outside ±1σ → stronger trend or expansion phase.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ Settings Explained
🧠 Source
Price source used for VWAP (default hlc3).
🕒 Session
Trading session window (e.g., 09:30-16:00).
Supports cross‑midnight sessions.
🌐 Timezone
Exchange → use the symbol’s exchange timezone.
UTC → fixed UTC session timing.
📊 Bands
Off → no bands.
±1σ → single standard‑deviation band.
±1σ & ±2σ → both band levels.
🧴 Fill Bands
On → shaded area between band lines.
Off → only lines.
🎨 VWAP Color
Color of the main VWAP line.
🟦 Band Color
Color of ±σ bands (also used for fills).
📏 Line Width
Thickness of the VWAP line (1–4).
🧾 Session Notice
Show session notice → enable/disable the “Outside trading session” label.
Notice position → choose where the table appears (top/bottom, left/right).
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🧰 Quick Recommended Setups
US RTH (stocks/options)
· Session: 09:30–16:00
· Timezone: Exchange
· Bands: ±1σ & ±2σ
Why: Matches the official cash session so VWAP resets correctly each day.
Crypto 24/7
· Session: 00:00–23:59
· Timezone: UTC
· Bands: ±1σ
Why: Continuous market — one full‑day session with a single band keeps the chart clean.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ Limitations
· Intraday timeframes only
· No plots outside the session
· If volume is unavailable/zero → warning
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🧬 About Pro Versions (What Comes Next)
In OptionsHUB Pro editions , this detector becomes a full regime engine:
📌 Anchored VWAP: Manual time anchor plus Pivot High/Low auto‑anchors.
📈 Session VWAP + Bands: Intraday VWAP with ±1σ / ±2σ and optional fills.
🧭 Regime Context: Trend / Mean‑Revert / Neutral with badge or background.
🤝 Interaction Stats: Touch / Reject / Hold / Fail metrics with compact table or tooltip.
🧩 HTF Alignment Dashboard: LTF vs HTF VWAP alignment status.
🏷️ Anchor Labels: Optional on‑chart labels for all AVWAP anchors.
🎨 Style Controls: Separate colors and widths for VWAP and AVWAPs.
⚠️ Smart Warnings: Intraday‑only, no‑volume, and out‑of‑range anchor alerts.
📌 The Free version gives you clarity and structure.
📌 Pro versions give you context, probability, and execution depth.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ Important Note
🧾 This indicator is a market context tool , not a signal generator.
It helps you choose the right type of strategy for the current market.
🚫 It is not financial advice.
🟦🟥🟩 OPTIONSHUB · REGIME PLAYBOOK
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⭐ TradingView: OptionsHUB — following the profile helps us ship updates faster
🌐 Website: optionshub.pro — ecosystem, options, research, and advanced versions
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OptionsHUB · Market Signal Engineering Lab
Trend Targets Oscillator- Webhooks v1.8.3Trend Targets Oscillator - Webhooks v1.8.3
Overview
This technical indicator combines a momentum-based oscillator with statistical analysis of historical price behavior to generate trading signals and calculate position management levels. The indicator analyzes past price patterns to establish data-driven thresholds for entries, exits, and stop placement.
Key Components:
• Weighted momentum oscillator with trend-following characteristics
• Statistical percentile analysis for take profit level calculation
• Dynamic stop loss placement based on price structure and volatility
• Adaptive ranges (ATR-based) for dynamic support/resistance visualization
• Real-time performance tracking and historical signal analysis
Critical Disclaimer: This indicator performs technical analysis on historical data. Past patterns, statistics, and performance do not predict, indicate, or guarantee future results. All trading carries substantial risk of loss. This tool does not provide investment advice or trading recommendations.
Important Note: Calculations use standard OHLC data; results may differ on non-standard chart types (Heikin Ashi, Renko, Kagi, Point & Figure, Range).
Technical Methodology
1. Momentum Oscillator
Core Approach: The oscillator employs a weighted Relative Strength Index (RSI) methodology combined with Quantitative Qualitative Estimation (QQE) trailing stop concepts. This creates a momentum indicator that adapts to trending conditions while maintaining sensitivity to reversals.
How It Functions:
• Calculates directional price momentum using weighted price changes
• Applies directional bias to amplify movements aligned with the prevailing trend direction
• Uses a dynamic trailing stop mechanism adapted from QQE methodology to identify potential trend reversals
• Applies exponential moving average smoothing to reduce market noise
• Operates within configurable overbought/oversold threshold zones (default: 70/30)
Signal Generation Process:
• BUY signals occur when the oscillator line crosses above its trailing stop level
• SELL signals occur when the oscillator line crosses below its trailing stop level
• All signals confirm only at bar close, eliminating mid-bar fluctuations and repainting
Technical Parameters (All Configurable):
• RSI Length (default: 100 bars) - Controls the period for momentum calculation
• Stop Multiplier (default: 2.5) - Adjusts the sensitivity of the trailing stop mechanism
• Smoothing Length (default: 6 bars) - Reduces noise through exponential smoothing
• Directional Weight (default: 6.4) - Amplifies trend-aligned price movements
• Overbought/Oversold Levels (default: 70/30) - Defines momentum extreme zones
What This Component Does: This component identifies potential trend changes through momentum analysis, generates entry signals based on the interaction between an oscillator and a trailing stop, filters those signals using overbought and oversold zones, and confirms all signals at bar close to help prevent repainting.
What This Component Does Not Do: This component does not predict future price direction or guarantee signal accuracy or profitability, it cannot eliminate false signals entirely, and it will not perform equally well across all market conditions.
2. Statistical Take Profit Calculation
Methodology: Rather than using fixed risk-reward ratios, this indicator analyzes the Maximum Favorable Excursion (MFE) from historical signals to establish statistically-derived take profit levels using percentile (quantile) analysis.
Maximum Favorable Excursion (MFE) Concept: MFE measures how far price moved in the favorable direction after each historical signal before either reversing or hitting the stop loss. This creates a dataset of historical "best case" price movements for each direction.
Statistical Process:
• Maintains separate historical datasets for LONG signals and SHORT signals (markets behave differently in uptrends vs downtrends)
• Tracks MFE data from the last N signals (configurable, default: 20 signals per direction)
• Calculates percentiles (quantiles) from this historical MFE dataset
• Uses these percentiles to determine take profit distance from entry
Three Statistical Thresholds:
TP1:
• Default: 66th percentile of historical MFE data
• Meaning: Based on historical analysis, approximately 66% of similar past signals moved at least this far in the favorable direction
• Note: This is a statistical observation of past behavior, not a prediction that 66% of future signals will reach this level
TP2:
• Default: 50th percentile (median) of historical MFE data
• Meaning: Represents the middle point of historical favorable price movements
• Note: Past median values do not indicate future median performance
TP3:
• Default: 30th percentile of historical MFE data
• Meaning: Based on historical analysis, approximately 30% of similar past signals moved at least this far
Important Technical Notes:
• Percentile thresholds are fully configurable in settings (you can adjust 66/50/30 to any values)
• Requires minimum historical data (20+ signals per direction) for statistical relevance
• Falls back to configurable risk-reward ratio (default 1.5R) when insufficient historical data exists
• Recalculates dynamically as new signals complete and add to the historical dataset
• "R" represents Risk units (distance from entry to stop loss)
What This Component Does: This component analyzes historical price behavior patterns and calculates statistical percentiles from past favorable movements to establish take-profit levels based on observed historical data. It adapts to the specific instrument and timeframe being analyzed, and it separates its analysis for long versus short signals.
What This Component Does Not Do: This component does not predict where future price will reach or guarantee any specific hit rate or success percentage, and it cannot ensure profits on any individual trade. It also does not account for changing market conditions or regime shifts, and it does not replace the need for proper risk management and position sizing.
3. Dynamic Stop Loss Placement
Methodology: Stop loss calculation combines Donchian Channel logic with Average True Range (ATR) volatility adjustment to create stops that respect recent price structure while accounting for normal market fluctuations.
How It Functions:
Donchian Channel Component:
• Identifies the highest high and lowest low over a specified lookback period (default: 20 bars)
• For LONG signals: Uses the lowest low as the base for stop placement
• For SHORT signals: Uses the highest high as the base for stop placement
• This respects recent price structure and support/resistance levels
ATR Volatility Buffer:
• Calculates the Average True Range over 14 periods to measure current volatility
• Adds a configurable buffer (default: 1.0 × ATR) beyond the Donchian extreme
• For LONG signals: Stop = Donchian Low - (ATR × Buffer Multiplier)
• For SHORT signals: Stop = Donchian High + (ATR × Buffer Multiplier)
• This prevents premature stop-outs from normal price volatility
Technical Parameters (All Configurable):
• Donchian Length (default: 20 bars) - Period for identifying recent price extremes
• SL Buffer Multiplier (default: 1.0 × ATR) - Distance beyond Donchian extreme (0.0 to 5.0)
What This Component Does: This component places stops based on recent price structure using Donchian extremes, adjusts them to reflect current volatility via an ATR-based offset, and adapts dynamically as conditions change. It includes a configurable buffer to suit different trading styles and is designed to respect key technical support and resistance levels.
What This Component Does Not Do: This component does not guarantee that a stop loss will not be hit, nor can it prevent slippage, gaps, or other execution-related risks. It does not ensure a favorable risk-reward outcome on every trade, does not account for fundamental events or news releases, and it does not replace the need for proper position sizing and overall capital management.
4. Adaptive Ranges (ATR-Based)
Methodology: The indicator includes an optional overlay that displays adaptive support and resistance zones based on Average True Range (ATR) volatility measurements. These ranges adjust dynamically as price moves beyond volatility thresholds.
How It Functions:
• Calculates an adaptive moving average that shifts when price moves beyond ATR-based thresholds
• Displays five levels: Upper Resistance 2 (R2), Upper Resistance 1 (R1), Middle (AVG), Lower Support 1 (S1), Lower Support 2 (S2)
• Zones are created using ATR multiples above and below the adaptive average
• When price breaches the outer boundaries significantly, the entire range structure recalculates and repositions
Technical Parameters (All Configurable):
• Length (default: 50 bars) - Period for ATR calculation
• Factor (default: 6.0) - Multiplier for ATR to set zone width
• Source (default: close) - Price data used for calculations
• Show (default: ON) - Toggle visibility
Purpose and Use:
• Provides context for potential reversal or consolidation areas
• Can complement the statistical TP levels by showing additional resistance/support
• Helps visualize market volatility expansion and contraction
• Creates dynamic zones that adapt to changing volatility conditions
What This Component Does: This component displays volatility-adjusted support and resistance zones, adapt dynamically to price movement and changing volatility, providing visual context for potential reversal areas. The segments update when price moves beyond defined threshold boundaries.
What This Component Does Not Do: This component does not predict future support or resistance levels, does not guarantee that reversals will occur at zone boundaries, or replace traditional support and resistance analysis. It also does not account for fundamental catalysts or news-driven events that can override technical behavior.
Visual Components and Displays
Oscillator Panel (Lower Pane)
The oscillator displays in a separate pane below the price chart with the following elements:
• Main Oscillator Line (teal/green): Shows current momentum state
• Trailing Stop Line (purple): Dynamic support/resistance level that triggers signals
• Overbought/Oversold Zones: Horizontal threshold lines (default 70/30)
• Historical Signal Markers: BUY (green triangles up) and SELL (red triangles down) where signals occurred
Reading the Display:
- When oscillator crosses above trailing stop = BUY signal generated
- When oscillator crosses below trailing stop = SELL signal generated
- Oscillator in upper zone (>70) = momentum in overbought territory
- Oscillator in lower zone (<30) = momentum in oversold territory
On-Chart Overlays (Price Chart)
For each historical signal, the indicator displays visual overlays on the main price chart:
Entry Line (Yellow):
- Horizontal line showing the price level where the signal was generated
- Helps identify the actual entry point
Stop Loss Line (Red):
- Horizontal line showing the calculated stop loss level
- Based on Donchian + ATR methodology described above
Three Take Profit Zones (Green for LONG / Red for SHORT):
- TP1 Zone: Lightest shade - conservative percentile target
- TP2 Zone: Medium shade - moderate percentile target
- TP3 Zone: Darkest shade - aggressive percentile target
- Zones displayed as shaded rectangular areas extending forward from signal
Visual historical overlays: This provides visual feedback on historical signal performance and helps assess whether the statistical methodology is appropriate for the current instrument and timeframe.
These visual overlays allow you to see: These visual overlays allow you to see where historical signals occurred and at what price, where stops were placed according to the methodology, and where statistical take-profit levels were calculated. They also show which targets were reached versus not reached, how price behaved relative to the statistical projections, and the adaptive support/resistance context that frames overall market structure.
Statistics Table (Real-Time Analysis)
The indicator displays a comprehensive statistics table (typically in the upper-right corner) showing performance metrics for historical signals.
Table Header: "Historical stats (not predictive) under current settings"
Performance Metrics (Separate rows for BUY and SELL): For the Last N Signals (default: last 20 BUY and last 20 SELL separately):
Column Headers:
• Signal: Direction (BUY or SELL)
• Win: Count of signals where at least one take profit was reached before stop loss
• Loss: Count of signals where stop loss was hit before any take profit was reached
• TP1 Hit: Percentage of signals that reached the first take profit level
• Δ1%: Average percentage distance from entry to TP1, calculated only for signals that actually reached TP1
• TP2 Hit: Percentage of signals that reached the second take profit level
• Δ2%: Average percentage distance from entry to TP2, calculated only for signals that actually reached TP2
• TP3 Hit: Percentage of signals that reached the third take profit level
• Δ3%: Average percentage distance from entry to TP3, calculated only for signals that actually reached TP3
Understanding the Distance Metrics:
The "Dist%" columns show the average percentage gain (from entry price to TP level) for only those trades that successfully reached that specific TP level. This helps you understand the typical profit magnitude when that target is hit.
Footer Message (Historical Performance Evaluation): The table displays one of three messages based on historical loss percentage:
✅ "Historical performance threshold met. Based on past data under current settings. Not a recommendation."
- Displayed when both LONG and SHORT directions show less than 40% losses on past historical data on this specific instrument and timeframe
- indicates the loss-rate is below the configured threshold (40% losses) for both directions over the last N historical observations (descriptive only).
🛑 "Historical performance below threshold. Based on past data under current settings. Not a recommendation."
- Displayed when both LONG and SHORT directions show more than 40% losses on past historical data on this specific instrument and timeframe
- indicates the loss-rate is above the configured threshold (40% losses) for both directions over the last N historical observations (descriptive only).
⚠️ "Historical performance: Mixed / higher risk. Based on past data under current settings. Not a recommendation."
- Displayed when one direction is <40% loss and one is >40% loss on past historical data on this specific instrument and timeframe
- indicates a mixed result: one direction is above and the other is below the threshold over the last N historical observations (descriptive only).
These statistics and messages are descriptive of past historical performance for the specific instrument and timeframe being analyzed, and they are provided purely as informational tools to help you understand how the indicator behaved historically. They are based solely on historical data analysis and can change over time as new signals complete and the underlying dataset updates.
These statistics and messages are not predictions of future performance, trading recommendations or advice, or guarantees of profitability. They do not indicate that past results will repeat, and they should not be interpreted as suggestions to enter trades or to avoid them.
The footer message helps you understand whether the current settings and statistical thresholds have shown historically favorable or unfavorable results on this particular market. However, past favorable statistics do not ensure future favorable results, and past unfavorable statistics do not ensure future unfavorable results.
Configuration Options
All parameters are fully adjustable in the indicator settings. Default values are provided as starting points and may require optimization for different instruments and timeframes.
Oscillator Parameters
• RSI Length (default: 100)
Controls the period used for momentum calculation. Higher values = smoother, slower momentum readings. Lower values = more responsive, potentially noisier readings.
• Stop Multiplier / QQE Factor (default: 2.5)
Controls sensitivity of the trailing stop mechanism. Higher values = wider trailing stop, fewer signals, more trend-following. Lower values = tighter trailing stop, more signals, more sensitive to reversals.
• Smoothing Length (default: 6)
EMA smoothing applied to reduce noise. Higher values = smoother oscillator line. Lower values = more responsive to price changes.
• Directional Weight (default: 6.4)
Amplification factor for trend-aligned movements. Higher values = stronger bias toward current trend direction. Lower values = more balanced, less trend-biased.
• Source (default: close)
Price data used for calculations (close, open, high, low, hl2, hlc3, ohlc4).
Threshold Parameters
• Overbought Level (default: 70)
Oscillator level considered overbought. Range: 0-100. Used for signal filtering and visual reference.
• Oversold Level (default: 30)
Oscillator level considered oversold. Range: 0-100. Used for signal filtering and visual reference.
Statistical Analysis Parameters (Historical Percentile Targets)
• Lookback N Trades (default: 20)
Number of historical signals to include in statistical analysis. Analyzed separately for LONG and SHORT. Higher values = more stable statistics, slower adaptation. Lower values = more adaptive, potentially less stable statistics. Minimum: 5 signals.
• TP1 Target Percentile (default: 66)
Percentile of historical MFE data used for first take profit. Range: 1-99. 66 means ~66% of historical signals reached at least this distance. Higher percentile = more conservative target (closer to entry). Lower percentile = more aggressive target (farther from entry).
• TP2 Target Percentile (default: 50)
Percentile of historical MFE data used for second take profit. 50 = median of historical favorable movements. Adjust based on desired risk-reward profile.
• TP3 Target Percentile (default: 30)
Percentile of historical MFE data used for third take profit. 30 means ~30% of historical signals reached at least this distance. More aggressive, historically reached less frequently.
• Fallback TP (default: 1.50 R)
Risk-reward ratio used when insufficient historical data exists. "R" = Risk units (distance from entry to stop loss). 1.50 R = take profit placed at 1.5× the distance to stop loss. Used until enough signals accumulate for statistical calculation.
Note on Percentile Configuration:
You can customize these percentiles to match your trading style:
- Conservative approach: Use higher percentiles (e.g., 80/60/40) for closer, more frequently reached targets
- Aggressive approach: Use lower percentiles (e.g., 50/30/15) for extended targets with lower historical hit rates
- Balanced approach: Default values (66/50/30) provide middle ground
Stop Loss Parameters
• Donchian Length (default: 20)
Lookback period for identifying recent price extremes. Higher values = stops based on longer-term structure. Lower values = stops based on shorter-term swings.
• SL Buffer (× ATR) (default: 1.00)
Multiplier for ATR-based volatility buffer. Range: 0.0-5.0. 1.0 = stop placed one ATR beyond Donchian extreme. Higher values = wider stops, less risk of premature stop-out. Lower values = tighter stops, higher risk of normal volatility hitting stop.
Adaptive Ranges (ATR-Based) Parameters
• Length (default: 50)
Period for ATR calculation used in adaptive range zones. Higher values = zones based on longer-term volatility. Lower values = zones more responsive to recent volatility changes.
• Factor (default: 6.0)
Multiplier applied to ATR for determining zone width. Higher values = wider zones, farther from average. Lower values = tighter zones, closer to average.
• Source (default: close)
Price data used for adaptive average calculation.
• Show (default: ON)
Toggle visibility of adaptive range overlays on chart. Turn OFF for cleaner chart if you only want oscillator signals.
Visual Display Parameters
• Show Historical B/S Markers (Pane) (default: ON): Displays BUY/SELL triangles in oscillator panel.
• Show B/S on Price Chart (default: ON): Displays BUY/SELL markers on main price chart.
• Show History TP/SL Overlays (default: ON): Displays entry lines, stop lines, and TP zones on price chart. Turn OFF for cleaner chart if you only want the oscillator signals.
• History Segment Length (Bars) (default: 20): How many bars forward the TP/SL overlays extend from signal. Range: 5-200 bars. Does not affect calculations, only visual display duration.
Initial Setup and Learning Period
1. Adding Indicator to Chart
The indicator can be applied to any instrument and timeframe. Default settings are provided as a starting point.
2. Data Collection Period
The statistical analysis requires historical signals to function. Typically 20+ bars provide initial data, while 50-100+ bars may produce more robust statistics. The table displays "Not enough data yet to evaluate" until sufficient signals exist.
3. Observing Initial Performance
Signals develop over time. The calculated TP levels appear relative to actual price movement. Historical statistics show which direction (LONG vs SHORT) has performed differently. The statistics table displays historical behavior patterns.
4. Statistical Data Accumulation
The indicator accumulates historical data over time. Some traders choose to observe performance in paper trading or demo environments before live use. Understanding the methodology involves reviewing how calculations work on historical data.
Webhook Integration and Alerts
The indicator includes alert functionality for integration with automated trading systems and notification services.
Alert Characteristics:
• Alerts trigger only when signals confirm at bar close (no mid-bar alerts)
• Respects the historical performance evaluation footer status
• Includes symbol, timeframe, and direction information in alert message
• Provides JSON-formatted data for easy parsing by automated systems
• Separate alert events for: Entry, TP1, TP2, TP3, Stop Loss, Early Close (Win/Loss)
Alert Events Available:
- Entry: When a new signal is generated
- TP1/TP2/TP3: When each take profit level is reached
- SL: When stop loss is hit
- Early Close Win: When position closes early in profit (without hitting TP or SL)
- Early Close Loss: When position closes early at a loss (without hitting TP or SL)
JSON Data Structure:
Each alert contains structured data including:
• Event type (Entry, TP1, TP2, TP3, SL, etc.)
• Direction (long/short)
• Symbol and timeframe
• Price levels (entry, stop, take profits)
• Timestamps (entry time, event time)
• Duration (milliseconds and minutes from entry to event)
Compatible With:
• Third-party webhook automation platforms and tools that support TradingView webhooks
• Custom trading bot implementations via webhook endpoints
• Notification systems that can receive TradingView alerts
• Any service supporting webhook integration through TradingView's alert system
The author and indicator provider assume no responsibility for losses incurred through automated trading, alert-based systems, webhook implementations, or any third-party integrations. Users are solely responsible for their trading decisions, automation setup, risk management, and system monitoring.
What This Indicator Is and Is Not
What This Indicator Is:
This indicator is a technical analysis tool that combines momentum oscillation with statistical analysis, using a signal-generation methodology built on weighted RSI and QQE concepts. It calculates take-profit levels through historical percentile analysis, places stop losses based on both price structure and volatility, and displays adaptive support/resistance zones derived from ATR. In addition, it tracks and presents historical signal performance and serves as an educational resource for understanding statistical approaches to trading. For accurate results, it requires standard OHLC chart data.
What This Indicator Is Not:
This indicator is not a prediction system or “fortune-telling” tool, nor is it a guaranteed profit generator or a “holy grail” trading system. It does not provide investment advice or financial recommendations, and it is not a substitute for proper education and solid risk management. It may not be suitable for every trader, market, chart type, or market condition, and it is not a replacement for human judgment and decision-making. It also cannot eliminate the possibility of losses, drawdowns, or periods of underperformance, and it is not designed for or tested on non-standard chart types—so results may differ when used outside standard charts.
Who This Indicator Is Designed For
May Be Suitable For:
This indicator may be suitable for traders who prefer systematic, rules-based approaches and want to incorporate statistical analysis into their trading, especially if they’re looking for a methodology that adapts to historical price behavior. It’s best for users who are comfortable with technical analysis concepts, can manage risk and position sizing properly, and are willing to invest time in testing and optimization. It also fits those who understand that past results don’t guarantee future performance and who use standard OHLC charts for their analysis.
May Not Be Suitable For:
This indicator may not be suitable for absolute beginners with no trading experience, or for traders looking for guaranteed profits and “get rich quick” systems. It’s also not ideal for those who are uncomfortable with technical analysis or statistical concepts, who cannot tolerate losses or drawdown periods, or who are unwilling to spend time learning, testing, and refining the methodology. Additionally, it may not fit users seeking a fully automated “set and forget” solution, traders who don’t follow proper risk management principles, or those who primarily work with non-standard chart types.
Important Limitations and Considerations
Technical Limitations:
This indicator has several technical limitations: it requires sufficient historical data for its statistical calculations to work properly, and its performance can vary significantly across different instruments and timeframes. It may perform poorly in ranging, choppy, or low-liquidity markets, and the statistical percentiles it uses are derived from past data that may not reflect future behavior. Depending on market conditions, signals can cluster or become sparse, and no technical system performs equally well across all regimes. Results may also differ on non-standard chart types (such as Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts), and while the adaptive ranges adjust to volatility, they cannot predict regime changes.
Market Limitations:
This indicator has market-related limitations because it cannot account for fundamental events, news, or black swan scenarios, and it does not incorporate market sentiment, positioning, or order flow. Historical statistical patterns can break down during regime shifts, and as market structure evolves, past behaviors may not persist. External drivers such as geopolitical developments or policy changes are also outside its scope, and risks from gaps as well as weekend or overnight moves are not explicitly factored into its calculations.
Execution Limitations:
This indicator has execution limitations because it does not account for slippage, spread, or execution delays, and it cannot guarantee fills at the calculated levels. It also does not explicitly factor in gap risk or overnight holding risk, and it assumes there is sufficient liquidity to execute orders as intended. In addition, it cannot account for exchange outages or other technical failures, and webhook or alert delivery can fail due to connectivity problems or third-party system issues.
User Limitations:
This indicator also has user-related limitations: it requires the discipline to follow signals consistently rather than overriding them emotionally, along with proper position sizing and risk management. Users need the psychological resilience to handle losing streaks and the time to monitor performance and evaluate results on an ongoing basis, especially if using alerts or automation. It also assumes sufficient capital and emotional reserves to withstand drawdowns, as well as a clear understanding of the constraints of standard OHLC charts.
Risk Warnings and Disclaimers
Please Read This Section Carefully
General Trading Risks: Trading and investing involve substantial risk of loss, and you can lose some or even all of your invested capital. Past performance does not indicate, predict, or guarantee future results, and no trading system, indicator, or methodology can eliminate risk. Markets are inherently unpredictable and uncertain, so outcomes can vary widely even when using a consistent approach.
Specific Risks Related to This Indicator: Its historical statistics and percentile calculations are inherently backward-looking, not forward-looking, and past favorable results do not ensure future favorable results. Market conditions can change, historical patterns may stop working or fail to repeat, and statistical analysis cannot predict future price movements. As a result, the indicator can generate losing signals and experience unprofitable periods, with no guarantee of any particular win rate, profit level, or overall performance. Metrics such as “Dist%” reflect historical averages and should not be interpreted as future profit guarantees, while adaptive ranges reflect historical volatility behavior not future support or resistance. Results may also differ significantly when used on non-standard chart types.
What This Indicator Does Not Guarantee: This indicator does not guarantee profitable trades or positive returns, any specific win percentage, success rate, or profit distance, or protection from losses and drawdowns. It also cannot guarantee that historical statistics will persist into the future, that it will be suitable for your specific financial situation, or that it will match your risk tolerance or trading goals. In addition, it does not guarantee reliable operation when used with automated trading systems, nor does it guarantee consistent results across different chart types.
Regulatory Disclaimer:
This indicator is a technical analysis tool for educational and informational purposes only. It does not constitute: Investment advice or recommendations, Financial planning or wealth management services, A solicitation to buy or sell any securities or instruments, A guarantee or warranty of any kind regarding performance, Professional advice tailored to your specific situation
Legal Liability:
By using this indicator, users acknowledge and agree that they are solely responsible for all trading decisions and outcomes, and that the author and indicator provider assume no liability for any losses or damages. Users confirm that they have read and understood all stated risks and disclaimers, agree not to hold the author or provider responsible for any results, and recognize that trading can result in the total loss of capital. They also understand the limitations related to chart types and the indicator’s calculation methods, which may affect how results are produced and interpreted.
Geographic Restrictions:
This indicator may not be suitable or legal in all jurisdictions. It is your responsibility to ensure compliance with local laws and regulations regarding trading and financial markets.
Final Statement
This indicator represents a systematic approach to technical analysis that combines momentum oscillation with statistical analysis of historical price behavior and adaptive volatility-based ranges. It is designed to provide a structured framework for visualizing historical market conditions and statistical behavior under the selected settings.
Access and Support Information
This is an invite-only indicator. For access requests, detailed documentation, setup guides, and ongoing support, please refer to the author's signature field displayed below this publication.
Thank you for taking the time to read this complete description. Understanding the methodology, limitations, and proper usage is essential for anyone considering using this indicator.
Trade safely and responsibly.
Candle Numbers (last N, no bubble)
Candle Numbers (last N, no bubble) is a lightweight utility indicator that labels candles with sequential numbers to make chart analysis and discussion easier (e.g., “candle 213”, “the breakout candle”, “the pivot”). It is designed for clarity and performance: labels are text-only (no background bubble) and are drawn only for the last N bars.
What it does
Numbers the last N candles on the chart (a sliding window near the most recent bar).
Counting starts at the left edge of that window:
the leftmost bar in the window is 1
the most recent bar in the window is N (or fewer if you use stepping / limits).
Allows numbering every Nth bar to keep the chart clean.
Places numbers below each candle, with a configurable vertical offset measured in ticks.
Inputs
Bars to number (last N) (barsWindow)
Size of the numbered window (default 200).
Number every N bars (step)
1 = every bar, 2 = every second bar, 5 = every fifth bar, etc.
Text color (txtColor)
Text size (txtSizeIn)
tiny / small / normal / large
Vertical offset (ticks) (offsetTick)
Moves the label down by offsetTick * syminfo.mintick. You can use large values if needed.
Max numbers to plot (maxMarks)
Extra safeguard to control label count and performance.
How it works (implementation notes)
Labels are drawn only when barstate.islast is true (updates on the latest bar).
Previously created labels are deleted and re-created each update to avoid clutter.
Uses max_labels_count=500 plus maxMarks to stay within TradingView label limits.
Notes
This is not a trading signal indicator. It’s a chart annotation tool for analysis and manual backtesting.
Quanticorn - Manual Pro - v2QUANTICORN | Manual Pro - Price Inefficiency Detection
The official quantitative model for NQ, ES, MNQ, and MES futures. Identify institutional liquidity inefficiencies and high-probability trade setups in real-time.
WHAT IT DOES
• Detects price inefficiencies on 1min / 3min / 5min charts
• Displays real-time entry, partial exit, and full exit labels directly on your chart
• Shows a live Trade Setup Table with entry price, stop-loss, partial TP, full TP, direction, contracts, and risk in USD
• Includes a Backtest Stats Table showing recent performance of current p-settings (trades, PnL, win rate, max drawdown, streaks)
• Latest parameter p-settings available via Discord
BACKTESTED PERFORMANCE
Based on the same locked zero-lookahead logic used in our institutional alpha:
• NQ 2023-25: 228% CAGR, 2.3 Sharpe
• NQ 2020-21 (COVID): 139% CAGR, 1.61 Sharpe
• NQ 2008-09 (GFC): 17.2% CAGR, stress-tested
• BTCUSDT 2023-25: 37.2% CAGR, 0.6 Sharpe
SUPPORTED TIMEFRAMES
Optimized for: 1min / 3min / 5min on NQ, ES, MNQ, MES futures.
Can be used on other timeframes, but signals are calibrated for the above only.
CUSTOMIZATION
Fine-tune the indicator with adjustable inputs:
• P1–P7: Core model parameters (latest presets available in Discord)
• Target R: Set your custom risk-reward targets
• Partial Settings: Customize your partial exit levels
• Risk Per Trade: Define your risk in USD – the indicator automatically calculates contract size
Note: NQ and ES have larger tick values. For smaller account sizes or tighter risk control, MNQ and MES are recommended (micro contracts = smaller minimum risk per trade).
COMMUNITY & SUPPORT
• Access the official Discord for latest p-settings and support
• Real-time updates and parameter tuning guidance
• Direct access to the Quanticorn team
DISCLAIMER
This indicator is for educational purposes. Past performance does not guarantee future results. Trading futures involves substantial risk. Only risk capital you can afford to lose.
Key Features
✓ Real-time price inefficiency detection
✓ Entry, partial exit, and full exit labels with tooltips
✓ Live Trade Setup Table (entry, SL, TP, contracts, risk in USD)
✓ Live Backtest Stats Table (trades, PnL, win rate, max DD, streaks)
✓ Automatic contract size calculation based on your risk
✓ Optimized for 1min / 3min / 5min charts
✓ Supports NQ, ES, MNQ, MES futures
✓ Based on institutional zero-lookahead backtests
✓ Discord community & official p-settings
Usage Instructions
1. Add the indicator to your chart (NQ, ES, MNQ, or MES, 1min / 3min / 5min)
2. Set your risk per trade in USD – the indicator will calculate contract size automatically
3. Use the latest p-settings from Discord for optimal performance (parameters are customizable but presets are recommended)
4. Watch for colored labels on the chart:
- Yellow = Potential setup detected (check Trade Setup Table)
- Green = Entry triggered
- Blue = Partial profit reached
- Orange = Breakeven exit (stop moved to entry after partial)
- Red = Full stop-loss hit (-1R)
- Dark Green = Full target reached
5. Reference the Trade Setup Table for exact entry, stop-loss, and profit targets
6. Monitor the Backtest Stats Table to see how current p-settings have performed recently
Pro Tip: If you're trading with smaller account sizes, use MNQ or MES for better risk granularity.
CONTACT & SUPPORT
Email: indicator@quanticorn.com
Discord: discord.gg
Website: quanticorn.com/indicator
TEM Rule 6 Panic Low PivotTechnical Event Model Rule 6 Identifies panic-driven market conditions where downside pressure becomes exhausted and the probability of an important low increases. TEM-6 is a risk-state alert, not a trade entry signal. It is used to signal when bearish continuation risk is diminishing and aggressive short tactics should be avoided. Best applied within the broader Technical Event Model (TEM) framework. Full usage guidance is provided in the accompanying user documentation. Full documentation covering usage, context, and integration with other indicators is provided to approved users.
TEM Rule 5 FOMO High PivotA late-cycle exhaustion detector designed to isolate crowded momentum highs driven by narrative acceleration and emotional participation rather than structural strength.
Rule #5 activates when volatility compression, momentum extension, and sentiment imbalance align — a condition historically associated with buying climaxes, false continuation moves, and high-risk entry zones.
This tool is contextual, not predictive. It does not call tops; it flags risk asymmetry where upside is limited and downside volatility expands.
GMH : UNDEAD ( Silver )Be Cool
Be Kind
Be Minimal
Be cool mean we do what is right , what is should , what is must
Be kind mean we do what we can to help others , be gentle to others
Be minimal mean we only live for what is neccesary , not hunger for unneccesary
Reversion Entry Scanner: SemiconductorsThis script is a multi-symbol scanner and trade dashboard designed to monitor a custom basket of stocks from one chart.
It combines trend context, volatility expansion (squeeze/dump), structured entries, and trade outcome tracking into a single table so you can quickly see where opportunities and risks are forming across your watchlist.
🔍 What the script does
For each symbol in your list, the script:
Tracks trend direction using higher-timeframe moving averages
Detects volatility expansion (“Squeeze”) and breakdowns (“Dump”) using Donchian channel behavior
Keeps squeeze/dump states “sticky”, so important regime shifts aren’t missed
Mutes signals that fight the larger trend, helping avoid counter-trend trades
Identifies structured entry signals using step-and-execute logic (price structure + momentum confirmation)
Simulates trade outcomes based on:
user-defined target percentages
maximum holding bars
Tracks wins, losses, and win-rates per symbol and across the entire basket
Displays how recently a squeeze or dump started (e.g., “Squeeze 12 bars ago”)
🧠 How to use it
Add the script to any chart (the chart symbol does not matter)
Best used in the 3 minute timeframe chart
Use the table to:
spot symbols entering or staying in squeeze/dump regimes even while you are viewing other tickers
see which trades are active, winning, or losing
compare performance across multiple symbols at once
This tool is designed for active traders, swing traders, and options traders who want context + confirmation, not just raw signals.
⚠️ Important notes
This script is not an automated strategy and does not place trades
It is a decision-support tool meant to help visualize structure, trend, and probability
Always manage risk and confirm signals with your own analysis
Self-Adjusting Support ZonesOption 1: Professional & Descriptive (Recommended)Self-Adjusting Support Zones is a comprehensive trend-analysis tool designed to visualize market liquidity and volatility-based support structures. By combining dual Exponential Moving Averages (EMA) with Average True Range (ATR) bands, this indicator creates "dynamic cushions" rather than static lines.How it works:Fast Momentum Line (Yellow): Tracks immediate price action (default 21 EMA).Mid-Term Fluid Zone (Blue): Uses a tight ATR multiplier to show the primary trend's "breathing room."Deep Support Infrastructure (Green/Gray): A multi-layered zone based on a slower EMA (default 55) and wider ATR bands. This acts as the ultimate "buy zone" during deep corrections.Key Advantage: The zones automatically expand during high volatility and contract during consolidation, preventing you from getting stopped out by market noise.Option 2: Technical Breakdown (For the "Settings" tab)This script calculates three distinct layers of support based on mathematical volatility:Primary Core: EMA-based trend tracking.Adaptive Buffers: ATR-scaled bands ($Upper/Lower = EMA \pm (ATR \times Multiplier)$).Depth Layers: A third "Deep Gray" channel to identify extreme oversold conditions within a bullish trend.🛠 Краткая инструкция (Usage Tips)Bullish Scenario: Buy when the price dips into the Green/Gray zone while the Yellow EMA is pointing up.Trend Strength: If the price stays above the Blue zone, the momentum is extremely strong.Exit Signal: A candle closing below the Deep Gray channel suggests a potential trend reversal.
Liquidity O59 Elite QuantThis indicator is designed to make price areas that have attracted attention in the past, notable turning points, and the general market tendency easier to observe on the chart.
Its main purpose is to support a clearer and more visual reading of market structure.
🔍 General Approach
The indicator observes price behavior around the following aspects:
Previously notable price areas
How price interacts with these areas
Broader directional context derived from higher time frames
Zones where price has shown hesitation or rejection
These elements are displayed visually to assist interpretation and chart analysis.
📈 Level and Zone Representation
Certain notable highs and lows formed over time are tracked on the chart.
These areas may be displayed using lines or boxes.
When price interacts with them, they can be visually faded or optionally removed.
This approach helps keep the chart focused on currently relevant areas and reduces visual clutter.
⏱ Higher Time Frame Context
Information from a selected higher time frame can be projected onto the active chart.
This helps maintain awareness of the broader market context while working on lower time frames.
This feature is intended as contextual support rather than a standalone directional tool.
🧱 Rejection Areas
Zones where price shows noticeable hesitation or reaction are highlighted.
These zones are automatically cleared when they are no longer relevant.
The goal is to reflect evolving price behavior rather than fixed reference levels.
📉 Trend View
A simplified trend line is used to help visualize the general price tendency.
This line serves only as a visual guide and should not be used independently for decision-making.
🎨 Visual Aids
Optional candlestick coloring is available to highlight certain momentum conditions.
All visual elements such as colors and styles can be adjusted by the user.
⚠️ Important Notes
This study is provided for chart analysis and visualization purposes only.
It does not provide trade execution, predictions, or guarantees.
Results may vary depending on market conditions and user interpretation.
Personal judgment, experience, and risk awareness remain essential.
