Renko Brick Color Change AlertThis indicator detects Renko brick color flips (bullish ↔ bearish) on native Renko charts, including ATR-based Renko.
🔹 Highlights bullish and bearish bricks
🔹 Plots visual flip markers
🔹 Triggers alerts when brick color changes
Usage:
Apply this indicator on a Renko chart (traditional or ATR Renko). Alerts fire only when a confirmed brick flips direction.
Ideal for traders monitoring momentum shifts and trend reversals using Renko structures.
Volatilità
Rapid Signal Geometry (Multi-TF)Rapid Signal Geometry (RSG)
Structure-Driven Market Geometry & Signal Framework
Rapid Signal Geometry (RSG) is a structure-first trading framework designed to separate directional market geometry from entry execution .
Instead of relying on indicator crossovers or lagging confirmations, RSG evaluates price expansion, volatility boundaries, and candle geometry to determine when the market has structurally shifted.
The indicator is built for traders who prefer fewer, higher-quality signals and a clear, rule-based understanding of market direction across timeframes.
Conceptual Design (Why RSG Exists)
Most signal tools attempt to detect entries directly, which often results in:
Late signals
Repeated signals in chop
Entries taken against higher-timeframe structure
RSG addresses this by decoupling market structure from execution .
The framework operates in two coordinated layers :
• Geometry Layer – defines whether the market is structurally bullish or bearish
• Signal Layer – triggers only at the moment of a confirmed structural transition
This design reduces noise, prevents rapid repeated signals, and keeps execution aligned with actual market behavior rather than indicator coincidence.
How RSG Works (High-Level Mechanics)
1. Geometry Baseline
RSG constructs a smoothed price baseline using RMA combined with adaptive volatility (ATR or Standard Deviation).
This produces dynamic geometry bands that expand and contract with real price behavior instead of static levels.
2. Geometry Direction (Trend State)
The market is considered:
• Bullish when price closes decisively above the upper geometry band
• Bearish when price closes decisively below the lower geometry band
Once a geometry state is established, it remains active until an opposite structural condition is confirmed .
There is no trailing logic and no repainting .
3. Signal Generation
Signals are event-based, not continuous:
• A Buy signal appears only at the first bullish geometry transition
• A Sell signal appears only at the first bearish geometry transition
Signals never appear mid-trend and are designed to mark the start of a new structural leg , not continuation noise.
4. Candle Geometry Levels (Visual Guides)
On each signal candle, RSG can optionally plot:
• The candle’s 50% equilibrium level
• A wick-derived reference level
These are non-predictive visual guides intended for:
Entry refinement
Pullback assessment
Confluence with other price-based tools
Filters & Controls (How Components Work Together)
Cooldown + Re-Qualification Filter
Prevents rapid same-direction signals (“machine-gun effect”).
Within the cooldown window, a new signal is allowed only if price re-qualifies at a structurally better level .
Geometry Direction Filter
When enabled:
• Buy signals are shown only during bullish geometry
• Sell signals are shown only during bearish geometry
This allows RSG to function as a higher-timeframe bias engine while executing on lower timeframes.
Reference Timeframe Geometry
Users can select a higher timeframe to calculate geometry bias while trading on a lower timeframe.
All geometry states are derived from closed reference-timeframe candles , ensuring:
No repainting
No intrabar bias changes
How to Use RSG (Practical Workflow)
Recommended Approach
Select a higher timeframe (4H / Daily / Weekly) to define geometry bias
Trade entries on a lower timeframe (15m or 1hr or D)
Execute only in the direction shown by the geometry state
Example:
If geometry shows LONG → ignore Sell signals
If geometry shows SHORT → ignore Buy signals
Best Timeframes
• Geometry / Bias : 4H, Daily
• Execution : 15m and 1hr
RSG is timeframe-agnostic but performs best when structure and execution are separated .
Important Notes
• No repainting
• Signals are printed only after confirmed candle close
• This is a structural analysis tool, not a prediction system
• Always apply proper risk management
Who RSG Is Designed For
• Traders who prioritize structure over indicators
• Traders seeking clean, rule-based signals
• Price-action and geometry-focused traders
• Traders who prefer confirmation over frequency
Disclaimer
This script is a technical analysis tool and does not constitute financial advice. Trading involves risk. Always test on historical data and apply appropriate risk management.
Update Notes – Alert Reliability Improvement
• Alerts now trigger strictly on confirmed candle close
• Removed intrabar / forming-candle alert behavior
• Implemented forced alert() logic so alerts remain active without manual re-enable
• Signal logic and plotting behavior remain unchanged
Important:
When creating alerts, select “ Any alert() function call ”.
Adaptive ER-Supertrend AlertsDescription:
This indicator is an advanced trend-following system that evolves the classic Supertrend concept by adding dynamic volatility adjustment and multi-stage signal filtering.
Core Logic:
Efficiency Scaling: Instead of a static multiplier, this script calculates the Kaufman Efficiency Ratio (ER). The multiplier is dynamically adjusted: in trending markets (high ER), the bands tighten; in choppy markets (low ER), the bands expand to reduce noise.
Price Hysteresis: To prevent "whipsaws" during minor pullbacks, a 0.5% buffer zone is integrated into the trend detection. The trend only flips when price closes beyond this buffer.
Execution Filters:
- Trend Filter: Optional MA filter (supporting SMA, EMA, WMA, HMA, VWMA, RMA, and ALMA) to ensure trading with the trend.
- Momentum Filter: MACD signal cross-confirmation.
- Liquidity Filter: Volume must be above its 50-period moving average (default) to validate the breakout.
Alerts:
- Integrated Alerts: Includes dedicated alert conditions for Long and Short entries.
- Signal Management: Users can toggle between seeing every valid setup or only the initial entry per trend cycle (Filter Repeat Signals).
Optimization:
Specifically tuned for ETHUSD on the 4H timeframe.
WStdvB - weighted bands [cc]WStdvB is a volatility-driven trading strategy designed to identify high-probability breakouts and trend continuations using weighted standard deviation bands combined with multiple confirmation filters.
At its core, the strategy adapts dynamically to market conditions by measuring volatility expansion and filtering trades only when structure, momentum, and trend alignment are present.
⸻
Core Concepts
• Weighted Standard Deviation Bands
Dynamic bands built around a configurable moving average to detect volatility breakouts.
• Directional Bias Filters
Trend filters ensure longs and shorts are only taken in the dominant market direction.
• Volatility Confirmation
Trades are allowed only when volatility is expanding relative to its own average, helping avoid low-energy market phases.
• Supertrend Confirmation & Exit Logic
Optional Supertrend filter for trend validation and adaptive exits during reversals.
⸻
Risk & Exit Management
• ATR-Based Stop Loss
Adaptive volatility stops that adjust to current market conditions.
• Multiple Exit Conditions
Positions can close based on:
• Opposite band interaction
• ATR stop
• Moving average cross
• Supertrend flip
This layered exit logic is designed to protect capital while allowing profitable trends to develop.
⸻
Customization
Every component can be enabled, disabled, or tuned:
• Separate logic for long and short trades
• Independent parameters for filters, bands, and exits
• Optimized for both trending and volatile markets
⸻
Notes
• Designed for experienced traders who understand volatility-based systems
• Works best on liquid instruments and higher-quality price feeds
• The indicator isn't repainting
Please note that this strategy is for educational purposes only and should not be used for trading without further testing and analysis.
Elliott + ICT v2 | Multi-TF Optimizedtry and give me your opinion lets make profit thoghther ! long only !
Voce Eterna - Forza1. The Philosophy: "Take It and Bring It Home"
Unlike standard strategies that wait months to close a single trade, this system is designed with surgical precision: to extract €100 from the market at every possible opportunity.
Fixed Target: As soon as the open profit reaches or exceeds €100, the algorithm instantly closes the position.
Frequency: The system aims to generate dozens of these "micro-withdrawals" (63 or more per year), creating a compounded and psychologically sustainable return.
2. Technical Architecture: Power and Precision
The plan utilizes a high-impact configuration to maximize the probability of success:
Real Exposure: Despite an initial capital of €10,000, the code is programmed to manage a monetary mass of €50,000 (5x Leverage). This allows minor index movements to rapidly generate the required €100 profit.
Volatility Filter: The robot only enters the market when the ATR (volatility) is 20% higher than its average, ensuring it operates only when the market is "active" and capable of hitting the target quickly.
Rapid Crossover: It uses SMA 9 and SMA 21 moving averages to identify the onset of explosive trends.
3. Safety and Protection
Capital preservation is hard-coded into every line:
Emergency Exit: If the trend reverses (crossunder), the system closes all positions immediately to limit downside, without waiting for the stop loss.
Tick-by-Tick Monitoring: Calculations occur on every single price variation, ensuring the €100 withdrawal is executed to the millisecond.
4. Performance Expectations (2025-2026 Analysis)
Based on the visualized backtest history, the plan has demonstrated its ability to outperform traditional market approaches:
Total Return: Over 21% net profit accumulated in just over a year.
Transparent Management: Through the "Diamond Edition" dashboard, investors can always see the progress toward the target and the amount already secured.
Conclusion: This is not a gamble; it is an algorithmic ATM. While others wait for the "big score," we secure €100 at a time.
TradeX Guru Intraday Scalping SetupThe TradeX Guru Scalping setup is a multivariate analysis system designed to isolate high-probability market vectors by filtering stochastic market noise. Unlike linear indicators that rely on singular data points, this system employs a "Composite Confluence Algorithm" that synthesizes directional bias, momentum magnitude, harmonic cycles, and volumetric deviation into a unified signal output.
This tool is engineered for traders requiring low-latency decision support, featuring automated variance-based risk modeling (Dynamic Stops & Targets) and real-time market telemetry displayed directly on the chart.
Methodology & Underlying Principles This script operates as a Multivariate Decision Engine, synthesizing four distinct dimensions of market data into a single binary output. Instead of relying on raw, lagging signals, the algorithm employs a composite filtering mechanism to isolate high-probability vectors.
1. Trend Basis Cloud (Dual-Filter Smoothing)
Scientific Concept: Low-Pass Signal Filtering.
Description: The system utilizes a dual-period exponential smoothing algorithm to filter out high-frequency market noise (short-term volatility). By analyzing the divergence between the fast and slow smoothing constants, the engine establishes a Directional Bias, ensuring that all subsequent signals are aligned with the dominant low-frequency trend vector.
2. Momentum Force (Volatility-Normalized Vector)
Scientific Concept: Impulse & Magnitude.
Description: Rather than simple price change, this component calculates the "Impulse" of price action relative to its recent volatility envelope. It measures the magnitude of the breakout vector, effectively distinguishing between low-energy "drift" (chop) and high-energy "expansion" (valid trends).
3. Cycle Phase Analysis (Harmonic State Detection)
Scientific Concept: Phase Transition.
Description: Markets move in oscillatory cycles of contraction and expansion. This module detects the specific harmonic phase of the current price action. It acts as a timing gate, validating entries only during the "Early Expansion" phase and suppressing signals during "Peak Saturation" (overbought/oversold extremes), preventing late entries.
4. Volume Flow Z-Score (Statistical Anomaly Detection)
Scientific Concept: Standard Deviation & Gaussian Distribution.
Description: This filter applies statistical normalization to volume data. By calculating the Z-Score (Standard Score) of incoming volume, the system identifies statistically significant deviations from the mean (Institutional Activity) while filtering out activity that falls within standard distribution (Retail Noise).
Key Technical Features
Real-time Market Telemetry: A custom-built Institutional Terminal displays live market states (Expansion vs. Range), bias vectors, and liquidity Z-scores. Includes a responsive "Mobile Mode" for cross-device compatibility.
Variance-Based Risk Modeling: The engine automatically computes a Safety Threshold (Stop Loss) based on local volatility (ATR) and projects 7 distinct Profit Vectors based on a proprietary risk-to-reward ratio.
Modular Visual Engine: A complete toggle system allows operators to enable/disable specific data layers (Signals, Vectors, Paint Bars) to maintain a clean workspace.
State-Change Detection: The system actively monitors for "Polarity Flips" (failed setups), providing immediate visual feedback to exit or reverse positions.
Why is this Invite-Only? This script relies on a proprietary "Black Box" architecture. The specific lookback periods, smoothing constants, and Z-score thresholds have been optimized and hardcoded to ensure statistical integrity. Access is restricted to protect the intellectual property of the algorithm's internal weighting system.
Disclaimer This tool is strictly for educational and quantitative analysis purposes. Past performance is not indicative of future results. This is not financial advice.
MASU+ Trend Cloud [Lite Version]Stop Guessing. Start Sniping.
Most indicators fail because they don't know the difference between a Trend and a Choppy market. They spam you with "Buy" signals when the market is going nowhere, causing you to lose money on spreads and whipsaws.
MASU+ Universal is different. It features a built-in Market Regime Engine that automatically detects the state of the market. It disables signals during noise (Choppiness) and only activates "Sniper Mode" when a strong trend is confirmed.
Key Features:
Adaptive Regime Detection:
Green Background: Strong Bullish Trend (Signals Enabled).
Red Background: Strong Bearish Trend (Signals Enabled).
Gray/Blue Background: CHOP / Ranging Market (Signals DISABLED). Keeps you safe.
Sniper Entry Logic:
We don't chase pumps. The indicator waits for a Pullback to the institutional EMA Cloud and confirms an entry only when momentum returns.
Smart Filters:
RSI Filter: Prevents buying at the top or selling at the bottom.
Trend Power (ADX): Signals only fire when ADX > 25.
Dynamic Risk Management:
Automatically plots a suggested Stop Loss point (based on ATR) for every signal.
How to Trade:
Wait for the Background Color: Do not trade if the background is Gray or Blue.
Wait for the Signal: A "SNIPER" label will appear.
Check the Dashboard: Ensure RSI is not overheated.
Set your Stop Loss: Use the colored dot below/above the signal candle.
Works on all markets: Crypto, Forex (EURUSD, GBPUSD), Indices (DAX, SPX500, NASDAQ), and Commodities (Gold, Oil).
⚠️ THIS IS THE LITE VERSION ⚠️
This version includes the Trend Cloud and Regime Background only.
Want the SNIPER SIGNALS? The includes:
Precise BUY/SELL Signals (Filtered by RSI & Pullbacks).
Dynamic Stop Loss dots.
Professional Dashboard (RSI, Trend Power, Chop Level).
To get the Full Sniper Edition: Send me a private message here on TradingView or check my profile signature for details.
Search terms: trend filter, chop filter, market noise, adx filter, ema cloud, trend trading strategy, range detector, sniper entry, buy sell signals, forex strategy, crypto trading, dax trading, scalping indicator, swing trading system
Adaptive ER-Supertrend StrategyDescription:
This strategy is an advanced trend-following system that evolves the classic Supertrend concept by adding dynamic volatility adjustment and multi-stage signal filtering.
Core Logic:
Efficiency Scaling: Instead of a static multiplier, this script calculates the Kaufman Efficiency Ratio (ER). The multiplier is dynamically adjusted: in trending markets (high ER), the bands tighten; in choppy markets (low ER), the bands expand to reduce noise.
Price Hysteresis: To prevent "whipsaws" during minor pullbacks, a 0.5% buffer zone is integrated into the trend detection. The trend only flips when price closes beyond this buffer.
Execution Filters:
- Trend Filter: Optional MA filter (supporting SMA, EMA, WMA, HMA, VWMA, RMA, and ALMA) to ensure trading with the trend.
- Momentum Filter: MACD signal cross-confirmation.
- Liquidity Filter: Volume must be above its 50-period moving average (default) to validate the breakout.
Optimization:
Specifically tuned for ETHUSD on the 4H timeframe.
FB Kong TrademakerFB Kong Trademaker is a rule-based trading engine designed with a strong focus on statistical price behavior and repeatable market structure.
Instead of predicting the future, the system analyzes price deviation, mean interaction, and probabilistic reaction zones derived from historical data.
DCA VIX Fear GaugeThis indicator displays the CBOE Volatility Index (VIX), known as the "fear gauge," in a separate pane below your chart, scaled to provide a comparable view to price movements.
It assists in gauging market sentiment: elevated VIX levels often reflect heightened fear and volatility, while lower levels indicate complacency.
The line dynamically changes color based on VIX thresholds (green for low volatility (<20), orange for moderate (20-30), and red for high fear (>30)) offering visual cues for potential market shifts or trading opportunities (e.g., high VIX may highlight panic-driven dips in equities).
Usage : Suitable for indices like SPX or forex pairs. Optimal on daily/weekly timeframes; VIX updates during US market hours.
Inputs : 'Scaling Lookback Period' fine-tunes alignment with price data (higher values for broader context).
Limitations : VIX represents implied volatility for the S&P 500; data may hold steady on non-trading days. For informational use only (integrate with additional analysis).
Tested on: SPX, NDX (scales automatically to fit the pane).
MASU+ Trend Cloud [Lite]Stop Guessing. Start Sniping.
Most indicators fail because they don't know the difference between a Trend and a Choppy market. They spam you with "Buy" signals when the market is going nowhere, causing you to lose money on spreads and whipsaws.
MASU+ Universal is different. It features a built-in Market Regime Engine that automatically detects the state of the market. It disables signals during noise (Choppiness) and only activates "Sniper Mode" when a strong trend is confirmed.
Key Features:
Adaptive Regime Detection:
Green Background: Strong Bullish Trend (Signals Enabled).
Red Background: Strong Bearish Trend (Signals Enabled).
Gray/Blue Background: CHOP / Ranging Market (Signals DISABLED). Keeps you safe.
Sniper Entry Logic:
We don't chase pumps. The indicator waits for a Pullback to the institutional EMA Cloud and confirms an entry only when momentum returns.
Smart Filters:
RSI Filter: Prevents buying at the top or selling at the bottom.
Trend Power (ADX): Signals only fire when ADX > 25.
Dynamic Risk Management:
Automatically plots a suggested Stop Loss point (based on ATR) for every signal.
How to Trade:
Wait for the Background Color: Do not trade if the background is Gray or Blue.
Wait for the Signal: A "SNIPER" label will appear.
Check the Dashboard: Ensure RSI is not overheated.
Set your Stop Loss: Use the colored dot below/above the signal candle.
Works on all markets: Crypto, Forex (EURUSD, GBPUSD), Indices (DAX, SPX500, NASDAQ), and Commodities (Gold, Oil).
Unlock the Market Regime.
Most traders lose money because they trade during "Choppy" markets. This indicator solves that problem by coloring the background based on the True Market Regime.
⚠️ THIS IS THE LITE VERSION ⚠️
Green Background: Strong Bullish Trend (Safe to Buy).
Red Background: Strong Bearish Trend (Safe to Sell).
Gray/Blue Background: CHOP / NOISE (Do NOT Trade).
This version includes the Trend Cloud and Regime Background only.
Want the SNIPER SIGNALS? The includes:
🎯 Precise BUY/SELL Signals (Filtered by RSI & Pullbacks).
🛑 Dynamic Stop Loss dots.
📊 Professional Dashboard (RSI, Trend Power, Chop Level).
To get the Full Sniper Edition: Send me a private message here on TradingView or check my profile signature for details.
Search terms: trend filter, chop filter, market noise, adx filter, ema cloud, trend trading strategy, range detector, sniper entry, buy sell signals, forex strategy, crypto trading, dax trading, scalping indicator, swing trading system.
T.S.T PRO (JakDongJung Collection)Overview
The is a high-performance trend-following strategy designed to capture major market moves while filtering out "noise" and false breakouts. It utilizes a sophisticated Triple Supertrend engine combined with multiple analytical layers—Volume, Momentum (ADX), Volatility (BBW), and Multi-Timeframe (HTF) analysis—to ensure high-probability entries.
Core Entry Logic
1. Triple Supertrend Alignment: The strategy confirms a trend only when three Supertrends with different sensitivities (Fast, Medium, Slow) align in the same direction.
2. Median Filter: To prevent entering at the very top or bottom of a local spike, the price must be positioned relative to the Median Supertrend line.
3. Strategic Filters (Optional):
- Volume Filter: Ensures the move is backed by sufficient market participation.
- ADX Filter: Confirms trend strength to avoid weak or exhausting trends.
- Volatility (BBW) Filter: Uses Bollinger Band Width to ensure the market is in an active expansion phase.
- HTF Trend Filter: Syncs the current timeframe trades with a higher time frame (e.g., Daily) to ensure you are trading with the "Big Picture" trend.
Advanced Money Management
This strategy is built with professional risk management at its core:
- 4 Sizing Modes: Choose between Risk % of Equity, Fixed Capital Amount, % of Equity, or Fixed Quantity.
- Dual Stop-Loss Modes: * Supertrend Mode: Dynamically tracks the Median Supertrend line.
- Fixed Mode: Locks the SL at entry based on ATR multiplier or fixed percentage.
- Execution Flexibility: Choose between "Real-Time Touch" (instant SL) or "On Close" (confirmed bar) for exit execution.
Profit Taking & Protection
- 5-Stage Take Profit: Scale out of positions systematically. Each TP level can be set via ATR Multiplier or Fixed Percentage.
- Automatic Break-Even: Once Take Profit 1 (TP1) is hit, the strategy automatically moves the Stop Loss to the entry price, securing a "risk-free" trade.
Visual Analytics
- Dynamic Visuals: Clearly displays your active Stop Loss, Entry Price, and all 5 Take Profit levels on the chart.
- Performance Table: Includes an integrated Monthly Performance Table to track your strategy's historical returns, drawdown, and consistency directly on the UI.
Recommended Settings
- Timeframes: 1H, 4H, and Daily (D) timeframes are recommended for the best trend-following results.
- Assets: Highly liquid assets such as Major Crypto Pairs (BTC, ETH) and Major Forex pairs.
- Optimization: While the default settings are robust, users are encouraged to adjust the Supertrend factors and ATR multipliers based on the specific volatility of their chosen asset.
Disclaimer
This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Trading involves significant risk, and it is highly recommended to test the strategy thoroughly on a demo account before live deployment.
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
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⭐ TradingView: OptionsHUB (follow + add to favorites — helps us ship updates faster)
🌐 Website: optionshub.pro (research, updates, ecosystem)
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🚦 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) .
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🧠 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.
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🎛️ 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.
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⚙️ 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).
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🧰 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.
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⚠️ Limitations
· Intraday timeframes only
· No plots outside the session
· If volume is unavailable/zero → warning
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🧬 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.
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⚠️ 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
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⭐ TradingView: OptionsHUB — following the profile helps us ship updates faster
🌐 Website: optionshub.pro — ecosystem, options, research, and advanced versions
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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
