Liquidation Levels
## 🎯 What It Does
**Detects major liquidation events with abnormal volume and signals potential reversal opportunities at key liquidity levels.**
---
## ✨ KEY FEATURES
### Liquidity Level Detection
- **Major Liquidations Only** - Filters for significant events (40%+ importance)
- **Abnormal Volume** - Z-score analysis identifies unusual volume spikes
- **Heatmap Colors** - Lines color-coded by importance (Blue → Yellow → Orange → Red)
- **Auto-Cleanup** - Lines disappear when price moves through liquidity levels
### Reversal Signals
- **Tiny Flags** - Bright green (bullish) / Bright red (bearish) signals
- **Divergence Filter** - Optional RSI/MACD divergence confirmation
- **Quality Control** - Requires multiple confirmation factors
- **Smart Cooldown** - Prevents signal spam
---
## 🎨 VISUAL SYSTEM
**Horizontal Dotted Lines:**
- **Thickness** = Importance (thicker = more significant)
- **Color** = Heatmap gradient (Blue = minor, Red = critical)
- **Position** = Where liquidation occurred (high = long liquidation, low = short liquidation)
**Signal Flags:**
- **Green Flag** = Bullish reversal (short liquidation cleared)
- **Red Flag** = Bearish reversal (long liquidation cleared)
- **Size** = Tiny (minimal chart clutter)
---
## ⚙️ QUICK SETUP
**Default Settings (Balanced):**
- Min Importance: 40%
- Min Signal Strength: 2
- Signal Cooldown: 6 bars
- Divergence: Enabled
- Reversal Required: Enabled
**More Signals:**
- Lower Min Importance to 30-35%
- Lower Min Signal Strength to 1
**Fewer Signals (Higher Quality):**
- Raise Min Importance to 50-60%
- Raise Min Signal Strength to 3-4
---
## 💡 HOW IT WORKS
1. **Detects** major liquidations with abnormal volume
2. **Calculates** importance score (0-100%) based on:
- Volume abnormality (0-40 pts)
- Liquidation size (0-30 pts)
- Price range (0-20 pts)
- Wick rejection (0-10 pts)
3. **Signals** when liquidation + reversal + divergence align
4. **Removes** lines when price clears the liquidity level
---
## 🔔 ALERTS
- Bullish Liquidation Reversal
- Bearish Liquidation Reversal
- Major Liquidation Event
---
## ⚠️ NOTES
- **Works on all timeframes** - Auto-adjusts filters for lower timeframes
- **Lines auto-clean** - Disappear when price moves 0.5 ATR through level
- **Heatmap optional** - Can disable for simple gradient colors
- **Max 10 lines** - Keeps chart clean (adjustable)
- **Merges nearby lines** - Reduces visual clutter
---
**Liquidity Levels - Catch major liquidity grabs and trade the reversal.**
Volatilität
ERAK BOT ALARMERAK BOT ALARM - Indicator Description
ERAK BOT ALARM is a trend-following momentum indicator designed to identify potential trend reversals and provide actionable "Buy" and "Sell" signals. It is a modified version of the popular UT Bot, optimized for clarity and responsiveness.
How It Works
The indicator calculates a dynamic trailing stop based on the Average True Range (ATR). By combining volatility (ATR) with price action, it filters out "market noise" and highlights the underlying trend direction.
• Buy Signal: Triggered when the price crosses above the ATR Trailing Stop and satisfies an EMA crossover condition. This indicates the start of a potential bullish trend.
• Sell Signal: Triggered when the price crosses below the ATR Trailing Stop. This indicates the start of a potential bearish trend.
• Bar Coloring: The chart bars are automatically colored (Green for Bullish, Red for Bearish) to give you an immediate visual confirmation of the current market sentiment.
Key Features
• Sensitivity Adjustment: You can modify the Key Value input to make the signals faster (lower value) or more filtered/conservative (higher value).
• ATR Period: Fully customizable ATR length to adapt to different timeframes and asset classes (Crypto, Forex, Stocks).
• Heikin Ashi Integration: Includes an optional toggle to calculate signals based on Heikin Ashi candles, which helps in smoothing out volatile price movements.
• Built-in Alerts: Comes with pre-configured alert conditions (UT Long and UT Short) so you can receive notifications directly to your phone or browser.
How to Use
1. Trend Following: Use the signals to enter trades in the direction of the prevailing trend.
2. Stop Loss Reference: The trailing stop line can be used as a dynamic level to place your stop-loss orders.
3. Confirmation: It works best when combined with other technical analysis tools like RSI or Volume oscillators to confirm the strength of the signals.
AlgoFreaks: Sniper Long (Premium)The AlgoFreaks™ Sniper Long is a high-precision mean reversion system designed to catch "dip buying" opportunities within established bullish trends.
Instead of chasing green candles, this system patiently waits for extreme oversold conditions to execute "Sniper" entries with favorable risk-to-reward ratios.
### 🟢 How it Works
The strategy relies on a multi-timeframe confirmation logic:
1. **Trend Filter:** Ensures the asset is in a dominant uptrend using both Local EMA (200) and Higher Timeframe (4H) EMA filters.
2. **Sniper Entry:** Triggers only when the RSI collapses to extreme lows (e.g., RSI < 5), indicating a temporary panic selling moment within a bull run.
3. **Risk Management:** Uses a built-in Hard Stop Loss for protection and an advanced Trailing Stop system to let winners run while locking in profits.
### ⚡ Key Features
* **Visual Dashboard:** Real-time branding and signal status on your chart.
* **Automation Ready:** Fully optimized JSON alerts for 3Commas, Bybit, and PineConnector.
* **No Repainting:** All signals are confirmed on bar close.
### 🛡️ Risk Warning
Trading cryptocurrencies involves significant risk. This indicator is a tool for finding setups, not financial advice. Always use proper risk management.
### 🔐 How to Get Access
This is an Invite-Only script. To get access to the AlgoFreaks suite: algofreeks.com
Complete G4 | CG4 (DTD)This script was built with the intention of improving day trading capabilities for the Futures market, namely for NQ.
The novelty of the script are the Ghetto Fibonacci Opening Range Retracement (G4) levels themselves and HOW they are calculated, providing Fibonacci pivot projections after the first 1-minute candle of the day. It is believed and understood that some major algorithms establish their positions within the first 30 seconds, defining a traded range for the day. With the help of some familiar Fibonacci levels and some custom ones, we can identify strong potential areas of support and resistance throughout the session. This process is repeated at New York and Globex open to obtain the projected full daily candle range for a futures instrument.
To support trade location context, signal alerts are provided for candles that interact with the lines given certain criteria. Some of the criteria deals with previous data such as high, low, open, and close, relative to the last N candles. An ATR gate is included and adjustable to filter for candle significance as well. The intention is to turn the indicator into a strategy that is used for algorithmic trading.
To make this indicator more of a one-stop-shop, I've also added some other public scripts as optionable toggles, but extremely helpful to build context for trade bias. Both SHLFE ( ) and Order Block ( ) indicators were added, with the Order Block indicator getting a buff that allows users to pick a second timeframe to display recent order blocks.
I do recommend starting with just the G4 lines in the beginning to learn how to read price action around the lines, then adding in the context from the other two indicators:
There will be many updates to come that improves functionality and reliability of the trade signals with improved logic.
Access will be temporary until the end of Q1 2026.
'Then Jesus said, “Come to me, all of you who are weary and carry heavy burdens, and I will give you rest. Take my yoke upon you. Let me teach you, because I am humble and gentle at heart, and you will find rest for your souls. For my yoke is easy to bear, and the burden I give you is light.”'
Matthew 11:28-30
Dual-Timeframe ABR DashboardDual-Timeframe ABR Dashboard 是一款专为日内交易者设计的波动率参考工具，用于同时评估当前周期与日线级别的平均K线波幅（ABR）。
该指标基于 Average Bar Range（高低差的简单平均），帮助交易者快速判断：
单根K线的“正常”波动范围
当前价格相对于 ABR 的百分比位置
当日是否已接近日线级别的常规波动极限
指标不会在图表上绘制干扰性线条，而是通过状态栏与固定表格实时展示最新 ABR 数值，适合用于：
目标利润（TP）与止盈管理
趋势是否具备延续空间的判断
避免在“已走完波幅”的位置追价入场
这是一个为实盘决策服务，而非视觉美观的专业级日内交易辅助指标。
======================================================================
Dual-Timeframe ABR Dashboard is a volatility reference tool designed specifically for day traders, providing a clear view of Average Bar Range (ABR) on both the current timeframe and the daily timeframe.
By measuring the simple average of each bar’s high–low range, this indicator helps traders quickly assess:
What constitutes a “normal” bar movement on the active timeframe
Current price movement expressed as a percentage of ABR
Whether the session has already consumed most of its typical daily range
Instead of plotting lines on the chart, the indicator presents real-time ABR values via the status line and a fixed dashboard table, keeping the chart clean and execution-focused.
This tool is particularly useful for:
Profit target and trade management
Evaluating remaining trend potential during the session
Avoiding late entries after the daily range is largely exhausted
Built for practical intraday decision-making, not visual clutter.
Volume Weighted ATRThis script implements a Volume‑Weighted Average True Range (VWATR) indicator, a variation of ATR that incorporates trading volume into the volatility calculation. Instead of treating all price movements equally, it amplifies true range during high‑volume periods and dampens it during low‑volume periods, producing a volatility measure that adapts to liquidity conditions. The script begins by allowing the user to choose a lookback length and a smoothing method, offering RMA, SMA, EMA, or WMA for flexibility in how responsive the indicator should be.
The core of the calculation starts with the standard true range, which captures the most meaningful price movement of each bar. This true range is then multiplied by volume, creating a volume‑weighted true range that gives more importance to bars where market participation is higher. To ensure consistency, the script defines a custom moving‑average function that applies the selected smoothing method to any input series. This function is used twice: once to smooth the volume‑weighted true range and once to smooth volume itself.
The final VWATR value is obtained by dividing the smoothed volume‑weighted true range by the smoothed volume. Mathematically, this produces a volume‑weighted mean of true range, making the indicator more sensitive to volatility expansions that occur with strong participation and less reactive to low‑volume noise. The script concludes by plotting this VWATR line, giving traders a clean, adaptive measure of volatility that can be used for regime detection, breakout confirmation, or dynamic stop sizing
Quantum Wolf Model Options CoreQuantum Wolf Model — Options Core
Overview
Quantum Wolf Model — Options Core is a decision-support indicator designed to assist traders with options market evaluation, risk awareness, and position sizing guidance.
The script does not place trades, does not generate automatic buy/sell orders, and does not predict future price movements.
How the Indicator Works
The model evaluates market conditions using a layered framework:
Market regime analysis to identify trend or range environments
Higher-timeframe bias alignment for directional context
Volatility assessment using ATR and implied-volatility ranking
Liquidity and volume participation to filter low-quality conditions
Session context awareness to account for active vs thin trading periods
Price-derived Greek-style sensitivity metrics (Delta, Gamma, Theta) to assess directional responsiveness, volatility expansion, and time-decay risk
These factors are combined into an internal scoring and filtering process that helps determine when options exposure may be more appropriate and how risk could be scaled based on current conditions.
Risk & Usage Notes
This indicator is for informational and analytical purposes only.
It is not financial advice and should not be used as a standalone trading system.
Options trading involves significant risk, and users are responsible for all execution and risk management decisions.
Intended Audience
Designed for traders who understand options mechanics and want an additional market-condition and risk-governance layer to support their own strategy.
Disclaimer
Past market behavior does not guarantee future results.
Use at your own discretion.
Navigator SMC & Roadmap 🗺️ Navigator Smart Money & Unified Roadmap V6
1. The Essence of the Indicator
Unlike conventional indicators that only look at the past, the Navigator SMC & Roadmap combines institutional analysis (Smart Money) with a Proportional Inertia engine. Its goal is not just to tell you what happened, but to show you the "path of least resistance" of the price, automatically adapting to the asset's actual volatility to avoid unrealistic projections.
2. Which Traders is it Recommended For?
Day Traders and Scalpers: To capture fast movements confirmed by institutional volume.
Swing Traders: To identify the macro trend and set long-term targets on daily or weekly charts.
Price Action Traders: To automate the detection of liquidity traps and market imbalances.
3. Focus Markets
Cryptocurrencies (BTC/ETH/Altcoins): Its percentage-based engine perfectly handles high volatility without distorting the data.
Forex and Commodities: Ideal for identifying the strength of trends and pullbacks to value zones.
Indices and Stocks: Excellent for filtering market noise and tracking the flow of "whales."
4. Interpreting Signals on the Chart
Institutional Line (EMA 200): This is your boundary. If it's green, the market has permission to rise. If it's red, the pressure is bearish.
Yellow X (Liquidity): This marks a "stop-loss sweep." It's the Teacher signaling that institutions have cleared the market and the price could reverse.
Diamonds (FVG): These are "fair value" zones. The price often returns to these points like a magnet to fill gaps before continuing its upward movement.
PRO BUY / PRO SELL: High-probability arrows that only appear when price, volume, and strength (RSI) are aligned.
5. How to Trade (Long/Short Strategy)
LONG Execution (Buy)
Context: The institutional line should be green.
Confirmation: The green PRO BUY arrow appears.
Target: Look at the dotted line (Roadmap) and the "Next Target" level on the board.
Safety: Place your exit point at the "Risk Zone" price on the board.
SHORT Execution (Sell)
Context: The institutional line should be red.
Confirmation: The red PRO SELL arrow appears.
Target: Follow the orange dotted path to the technical target.
Safety: Respect the "Stop Loss" level calculated by the instructor.
6. Pro Tips
The Diamond "Magnet": If the projected path is bullish but you have orange diamonds (FVG) directly below it, wait for the price to drop to touch them before buying. You'll enter at a better price.
Volume Validation: If the board says "Low Volume," be careful. The best trades occur when the Teacher confirms that there are "Active Whales."
Chart Spacing: To see the future roadmap, remember to go to Chart Settings > Canvas (or Scales) and increase the Right Margin to 20 or 30 bars.
7. Technical Specifications Memorandum
Projection Engine: Logarithmic timescale-weighted linear regression.
Target Algorithm: Based on 2 deviations of the ATR (Average True Range) for mathematical realism.
Confluence Filters: RSI (14) at the 50 level, Institutional EMA (200), and 20-period volume moving average.
Compatibility: Works from 1 minute to monthly (M) timeframes thanks to dynamic adjustment.
Equilibrium Reversal Channel [BOSWaves]Equilibrium Reversal Channel - Volatility-Based Risk Geometry for Mean Reversion Scenarios
Overview
The Equilibrium Reversal Channel is a volatility-weighted price channel designed to highlight statistically stretched price conditions and assist traders in identifying mean-reversion opportunities within broader market structure. The indicator is not intended to predict market direction in isolation, but rather to contextualize price movement relative to volatility, trend balance, and exhaustion zones.
At its foundation, this tool operates on the assumption that price oscillates around a dynamic equilibrium. When price deviates too far from that equilibrium - particularly under expanding volatility - the probability of a reaction, pause, or reversal increases. The Reversal Channel visualizes these deviations clearly, continuously, and without relying on fixed thresholds or static support/resistance levels.
This indicator is best used as a contextual framework, not as a standalone trading system. Its strength lies in defining where reactions are statistically more likely to occur and when price has moved far enough to warrant caution or contrarian attention.
Use Cases
Primary Use Case 1: Volatility-Anchored Trade Framing (TP / SL Construction)
The Equilibrium Reversal Channel is used to construct trade reference levels directly from live market structure and volatility behavior, rather than from arbitrary price distances.
Stop invalidation is framed around the outer displacement boundary. This boundary represents the point at which price is no longer statistically stretched but instead entering a new volatility regime, invalidating the original mean-reversion premise. In other words, if price accepts beyond this zone, the imbalance thesis is structurally broken.
Take-profit projections are derived from measured rebalancing paths back toward equilibrium, scaled using configurable payoff ratios. These projections reflect how far price typically resolves once imbalance conditions unwind, rather than relying on fixed targets or discretionary exits.
This use case turns the channel into a risk geometry tool — defining where a trade idea is wrong, where resolution is likely to occur, and whether the opportunity offers asymmetric payoff before capital is committed.
Primary Use Case 2: Identifying Statistically Stretched Price Conditions
The second core function of the Reversal Channel is identifying when price is operating far enough from its volatility-adjusted balance state to justify contrarian attention.
Sustained interaction with the outer displacement zones signals that price has entered a statistically inefficient regime. Continuation may still occur, but the marginal return on momentum decreases while reaction probability increases. The channel highlights these conditions in real time, without relying on fixed thresholds or static reference levels.
Rather than predicting reversals, this framework defines where continuation becomes fragile and where rebalancing pressure historically emerges - particularly when reinforced by higher-timeframe structure or liquidity context.
Central Basis Line (Market Equilibrium)
At the core of the Reversal Channel is a dynamically adaptive balance line derived from recent price behavior. This line represents the market’s evolving equilibrium - the point around which price naturally oscillates under normal conditions.
The balance calculation prioritizes recent market information while maintaining smooth continuity, allowing it to adjust efficiently as conditions change without overreacting to short-term noise. Rather than acting as a directional signal, this axis serves as a reference framework for measuring price displacement, volatility expansion, and rebalancing pressure.
Extended acceptance above the equilibrium suggests sustained bullish pressure, while prolonged activity below reflects bearish dominance. However, the Reversal Channel is intentionally agnostic to directional bias - its focus is on distance from balance, not trend prediction.
Volatility-Weighted Channel Construction
Surrounding the equilibrium line are three upper and three lower displacement bands, each derived from a real-time volatility normalization process. This process measures actual market expansion and contraction rather than relying on static price offsets, allowing the channel to adapt fluidly across assets, sessions, and regime shifts.
Each successive band represents an increasing degree of statistical displacement from equilibrium:
The first tier reflects mild volatility expansion
The second tier captures elevated deviation
The outer tier represents extreme statistical stretch
Because the channel geometry is volatility-responsive, it expands during high-energy conditions and contracts during quieter phases. This prevents structural distortion - avoiding channels that are either too restrictive in low volatility or meaningless during aggressive expansion.
To maintain visual coherence and structural continuity, displacement boundaries are processed through a secondary smoothing mechanism. This refinement preserves volatility information while ensuring the channel flows naturally with price action instead of reacting mechanically to isolated candles.
Zone Interpretation (Green, Yellow, Red)
The channel is visually segmented into three color-coded zones on both the upper and lower side of the basis. These zones are not signals - they are probability regions.
The green zone, closest to the basis, represents normal price fluctuation. Price entering this area does not imply exhaustion or reversal; it simply reflects routine movement around equilibrium.
The yellow zone indicates price is becoming extended. Momentum may still continue, but risk increases. This zone often corresponds with late-trend behavior, reduced reward-to-risk for continuation trades, and early contrarian interest.
The red zone represents extreme deviation relative to recent volatility. Price reaching this area suggests the market is operating far from equilibrium. While reversals are not guaranteed, this zone statistically favors slowing momentum, rejection, or reversion, especially when combined with structural or higher-timeframe confluence.
Importantly, these zones are symmetrical. Extreme conditions exist on both the upside and downside, allowing the channel to function in bullish, bearish, and ranging markets.
Reversal Sensitivity Logic
Rather than generating signals immediately when price enters a zone, the indicator uses a confirmation counter mechanism. This means price must remain beyond the first volatility boundary for a user-defined number of consecutive bars before a reversal signal is allowed.
This approach reduces false positives caused by single-candle spikes or transient wicks. By requiring persistence, the indicator attempts to confirm that price is genuinely operating in an extended state rather than momentarily probing it.
Sensitivity inputs allow traders to control how strict this confirmation process is. Lower sensitivity values produce faster signals with higher frequency but lower confirmation. Higher values demand more sustained extension, reducing signal count but increasing contextual reliability.
Buy and Sell Signal Logic
A buy signal is generated only after price has remained below the lower volatility boundary for the required number of consecutive bars and no active trade condition is present. Conceptually, this reflects downside exhaustion relative to volatility.
A sell signal follows the same logic on the upper side, triggering only after sustained price extension above the upper volatility boundary.
These signals are contrarian by design. They are not trend continuation entries. They assume that when price stretches too far, too quickly, the probability of reaction increases - particularly in markets that oscillate rather than trend cleanly.
Trade State Awareness and Exit Logic
The indicator internally tracks whether a trade condition is active. This prevents repeated signals from firing continuously while price remains extended.
Once a trade condition is active, the indicator monitors price relative to the basis line. The basis acts as a logical exit reference, representing a return toward equilibrium. When price crosses back through the basis in the direction of the trade, the condition is reset.
This design reinforces the indicator’s purpose: capturing mean reversion back toward balance, not trend continuation beyond it.
Risk Reference Levels (TP / SL Framework)
Optional take-profit and stop-loss reference levels are derived directly from channel structure rather than arbitrary values. Stop placement is anchored near the outermost volatility band, reflecting the point at which the statistical premise of the trade is invalidated.
Multiple take-profit projections are calculated using configurable risk-to-reward ratios. These levels are not recommendations; they exist to provide structure, visual planning, and consistency when evaluating potential trades.
The indicator does not manage trades. It provides spatial context so the trader can make informed decisions.
Practical Use & Context
The Equilibrium Reversal Channel performs best in markets that exhibit rotational behavior or frequent volatility expansion and contraction. In strong, one-directional trends, extreme zones may persist longer than expected. For this reason, the indicator should always be used alongside higher-timeframe structure, trend context, or directional filters.
Its purpose is not to outperform trend systems, but to define statistical stretch clearly and consistently across assets and timeframes.
Final Notes
Equilibrium Reversal Channel is designed as a contextual decision-support framework rather than a predictive system. It visualizes price behavior relative to dynamically adjusted equilibrium and volatility boundaries, offering insight into statistically stretched conditions and potential mean-reversion opportunities. Its outputs are guidance-oriented, not guarantees, and should be interpreted alongside broader market structure, higher-timeframe context, and sound risk management practices. Every visual element, zone, and signal is intended to enhance situational awareness, empower disciplined decision-making, and provide probabilistic insight into market behavior, not dictate outcomes. Traders are strongly encouraged to combine this framework with their own strategy execution and capital management protocols.
Risk Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Users are responsible for their own analysis, risk management, and execution decisions.
Elite Scalper ProElite Scalper Pro
A scalping multi-tool built for traders who want clarity + control —not blind signals.
This is a regime-aware framework that helps you filter low-quality conditions , execute with structured exits , and audit performance from a live panel.
What it is (in one line)
Regime filters + structured execution + a live control panel — so you can trade with a repeatable process.
What makes it different
Most “signal indicators” only tell you when . Elite Scalper Pro is designed to also tell you whether conditions make sense — and it gives you the controls to tune per symbol without turning the system into chaos.
Regime-aware filtering : optional gates (EMA / MACD / RSI / CHOP) + volatility controls to reduce “noise trades”.
Structured execution : ATR-based TP1 / TP2 / SL with optional management layers.
Protective Exit (PE) : optional early-defense layer to cut damage when a setup fails fast.
HeatShield : optional volatility-spike filter to avoid entering during “too hot” conditions.
A-Low Filters (Long / Short) : optional quality blocks to avoid weak setups per direction.
State Panel : live status + targets + context + performance audit so you tune with evidence, not guesswork.
Chart behavior
Designed to stay clean: no indicator clutter. (EMA is available; everything else is handled internally.)
Markets
Built for multi-market trading: FX, metals (XAUUSD), indices, crypto, CFDs .
Reality check: symbols behave differently (volatility, sessions, noise). Defaults are a strong starting point — not a universal “best setup”.
The State Panel (your control tower)
Signal status : FLAT / PENDING / ACTIVE so you always know the current stage.
Live trade map : Entry / SL / TP1 / TP2 (reflects management updates).
Regime context : volatility + filter status so you understand why it’s trading (or not).
Performance audit : win rate / PF / net / MAE-MFE style metrics to evaluate behavior over your available history.
Protective Exit (PE)
PE is optional. Concept: when a trade moves your way then quickly invalidates, PE can act as a controlled cut to reduce damage before the full SL hits.
PE does not replace SL — it’s a risk-shaping layer you can enable/disable and tune.
Targets & trade structure
TP1 / TP2 staged exits (or single target): scale out or hold for TP2.
Sizing control : choose how much closes at TP1 vs TP2.
ATR-based risk : stops and targets scale with volatility rather than fixed points.
Optional management : CL after TP1 (breakeven-style behavior) depending on your style.
DEEP DIVE — How to use Elite Scalper Pro properly
1) Pick ONE symbol first
Start with the market you actually trade. Liquidity + spread + session quality matter more than “perfect settings”.
2) Start with defaults, then tune like a professional
Change one thing at a time, then re-check the panel metrics and trade behavior. Keep what improves stability , not just what looks best on a short window.
3) Choose your tuning goal
Higher win rate → usually fewer trades, stricter filters, sometimes smaller TP.
Higher average R → usually wider TP2/SL, more patience required.
Balanced → smoother month-to-month behavior, moderate trade count.
4) Don’t over-optimize
Prefer settings that behave “reasonably” across different regimes.
Watch trade count — if trades collapse, your “edge” may be an illusion.
Don’t stack every gate just because you can. Many symbols respond best to one or two gates.
Gates explained (what each one does)
A-Low Long / A-Low Short
Optional safety filters to block weak setups per direction (useful on symbols that fake out often). Disable if they remove too many valid trades.
EMA Gate (trend alignment)
Fast EMA vs Slow EMA bias filter. Faster = more trades/more noise. Slower = fewer trades/smoother.
MACD Gate (momentum confirmation)
Confirms momentum direction. Buffer makes it more selective (reduces micro-flips).
RSI Gate (two styles)
Midline mode : uses the 50 line to align with general direction.
Directional mode : blocks chasing (don’t long when RSI is already “too high”, don’t short when RSI is already “too low”).
CHOP Gate (market structure filter)
Separates trend conditions from chop. Stronger modes = cleaner entries, fewer trades.
Volatility Gate (regime selection)
Allows/block trades in LOW / MID / HIGH / EXTREME volatility regimes. Useful when a symbol performs best in specific volatility “zones”.
HeatShield (volatility spike protection)
Optional filter that blocks entries during sudden “too hot” volatility spikes to reduce whipsaw risk. Enable only if it improves stability on your symbol.
Time Control (session logic)
Optional entry blocking during specific time windows (spread, opens, news-like chop). Use only if your symbol consistently misbehaves at certain times.
Alerts (manual + automation-ready)
Manual : receive clean entry/management notifications to review and execute.
Automation pipelines : alerts can be routed into webhook workflows (TradingView alert infrastructure). Keep automation risk controls external and conservative.
Not financial advice. Educational only. Trading involves risk. No settings or historical results guarantee future performance. Test in replay/paper first and use strict risk management.
V-Max L2A: Momentum Radar (MTF Resonance Engine)🛡️ 【V-Max】L2A Momentum Radar: MTF Resonance & Weighting Engine
Overview V-Max L2A Momentum Radar is a high-precision momentum oscillator that synchronizes market inertia across six distinct timeframes. Unlike standard oscillators, L2A employs a proprietary MTF Resonance Weighting Engine to filter out micro-noise and align execution with institutional flow.
Technical Methodology & Originality The core value of this invite-only script lies in its sophisticated logic:
Proprietary MTF Scoring Engine: The script calculates a real-time "Resonance Score" (w_score) by assigning specific weights to momentum data (EMA 200 & RSI 14) from 6 timeframes:
Weekly (W): 2.0 weight (The Trend Anchor)
Daily (D): 1.5 weight
H4 & H1: 1.0 weight each
M15: 0.5 weight
M3 (Local): 0.3 weight Signals are only prioritized when these timeframes reach high-confluence resonance.
Intelligent Auto-Filter: To ensure signal quality, the MACD histogram is automatically calibrated against a 100-bar peak intensity and a 20-period volume SMA. This prevents "fakeouts" during low-liquidity periods.
7-State Tactical Status Machine: The UI displays a real-time market bias (e.g., "Full Long," "Prohibit Short," "Structural Adjustment") based on the internal w_score and RSI thresholds.
Divergence & Volume Detection: Features an automated divergence detection system (△/▽) combined with relative volume monitoring (>1.5x) to identify momentum exhaustion and potential reversals.
How to Use
Confluence Entry: Look for "Full Long/Short" status when the MACD completes a volume-confirmed crossover.
Alerts: Use the integrated system for real-time notifications on MTF resonance shifts.
產品概述 V-Max L2A 動能雷達是一款高精度的動能分析套件，旨在同步六個不同時間週期的市場慣性。L2A 採用獨家的「MTF 共振加權引擎」，有效過濾微觀雜訊，確保執行方向與機構資金流向一致。
技術邏輯與原創性
原創 MTF 評分引擎： 腳本透過為 6 個時區的動能數據分配不同權重來計算實時「共振分數 (w_score)」：
週線 (W)：2.0 權重（趨勢定錨）
日線 (D)：1.5 權重
H4 與 H1：1.0 權重
M15 與 M3：微觀修正權重
智能自動濾波：MACD 柱狀體會根據 100 根 K 線的峰值強度與成交量均線自動校準，避免在低流動性環境下產生虛假訊號。
七階戰術狀態機：根據內部 w_score 實時顯示市場偏好（如：全力做多、禁止做空、結構調整），為交易者提供明確的執行依據。
This is an Invite-only indicator for V-Max members. To request access: 👉 Telegram: @VMax_Helper_bot
Disclaimer: For technical analysis purposes only. Trading involves risk.
Liquidity Guard v4.0 This script is designed for Market Makers (MM), Grid Traders, and Mean Reversion strategists. Its primary purpose is not to tell you when to enter a trade, but when to stop trading and withdraw liquidity to avoid "catching falling knives" or "selling too early" during extreme unilateral movements.
Unlike traditional indicators that require constant parameter tuning for different assets (e.g., BTC vs. PEPE), this script features a Normalized Z-Score Algorithm, making it adaptive to any asset class, price scale, or time frame without manual adjustment.
这是一个专为 做市商 (Market Makers)、网格交易者 (Grid Traders) 和 马丁策略 (Martingale) 设计的风控系统。它的核心目的不是告诉你“何时买入”，而是告诉你 “何时停止交易” 并撤回挂单，以防止在极端的单边行情中“接飞刀”或“卖飞”。
本指标最大的亮点是采用了 归一化 Z-Score (标准化分数) 算法。这意味着您不需要针对 BTC、ETH 或小币种分别调整参数，一套参数即可自适应所有币种和时间周期。
Statistical Reversion FrameworkIntroduction and Core Philosophy
The Statistical Reversion Framework constitutes a sophisticated quantitative trading instrument designed to identify high-probability mean reversion opportunities across financial markets. Unlike traditional technical indicators that rely on a single dimension of market data, this framework adopts a multi-faceted approach, synthesizing statistical probability, volume profile analysis, institutional money flow proxies, and standard technical momentum into a singular composite score. The core philosophy driving this script is the concept of confluence through heterogeneity; by combining uncorrelated or loosely correlated market factors—such as price deviation (statistics), participant commitment (volume), and macro sentiment (intermarket data)—the algorithm aims to filter out the noise inherent in standard oscillators and isolate moments where market pricing has deviated unsustainably from its intrinsic equilibrium. This tool is specifically engineered to detect market extremes—tops and bottoms—where the probability of a counter-trend move or a snap-back to the mean is mathematically significant. It operates on the premise that while asset prices can remain irrational in the short term, they are bound by statistical variance and mean-reverting properties over longer horizons, particularly when institutional flows and volume exhaustion patterns align with those statistical extremes.
Methodology: The Composite Scoring Architecture
The underlying methodology of the framework relies on a weighted composite scoring system. Rather than generating binary buy or sell signals based on a threshold crossover, the script calculates a granular score ranging from zero to one hundred for various market dimensions. These dimension-specific scores are then weighted according to user-defined inputs to produce a final "Composite Score." This approach allows for a nuanced assessment of market conditions; a setup might have extreme statistical deviation but lack volume confirmation, resulting in a lower confidence score than a setup where price, volume, and macro factors all align. The algorithm normalizes all input data into a standardized scale, typically converting raw values—such as Z-Scores or volume ratios—into a zero-to-ten ranking before aggregating them. This normalization process is critical because it allows the algorithm to compare apples to oranges mathematically, treating a standard deviation of 3.0 and a Relative Strength Index (RSI) of 20 as compatible inputs within the same equation. By summing these normalized values and applying regime-based confidence adjustments, the framework produces a dynamic signal that adapts to the volatility and trend intensity of the current market environment.
Algorithmic Component I: Statistical Analysis via Multi-Timeframe Z-Scores
The backbone of the framework is the Statistical Component, which utilizes the Z-Score (or Standard Score) to quantify the degree of price deviation. The Z-Score measures how many standard deviations the current price is from its moving average. A crucial aspect of this algorithm is its fractal nature; it does not rely on a single lookback period. Instead, it computes Z-Scores across three distinct timeframes—Daily, Weekly, and Monthly—and within each timeframe, it calculates deviations for short, medium, and long-term periods. For instance, on the daily timeframe, it assesses deviation from 50-day, 200-day, and 500-day means simultaneously. This multi-timeframe approach is designed to filter out ephemeral noise. A price move that appears extreme on a 10-day basis but is normal on a 200-day basis is likely a trend pull-back rather than a reversal. Conversely, when the Z-Scores across daily, weekly, and monthly timeframes all register values beyond significant thresholds (such as 2.0 or 3.0 standard deviations), it indicates a rare fractal alignment where the asset is historically overextended on all relevant scales. The algorithm aggregates these nine distinct Z-Score data points to form the "Statistical Score," heavily rewarding scenarios where multiple timeframes show directional alignment, as these synchronized deviations often precede powerful mean-reversion events.
Algorithmic Component II: Volume Signature and Participation Analysis
While statistical deviation highlights where the price is, the Volume Component analyzes the conviction behind the move to determine if a reversal is imminent. This section of the code employs several sophisticated logic gates to identify specific volume signatures known as Capitulation and Exhaustion. The algorithm compares current volume against a 50-day moving average to generate a volume ratio. It then correlates this ratio with price action. For example, the script identifies "Capitulation" when price collapses significantly (more than 2%) on volume that is at least three times the average. This specific signature—panic selling—often marks the psychological wash-out necessary for a market bottom. Conversely, the script detects "Volume Exhaustion" when prices drift without conviction on extremely low volume, indicating a lack of participant interest in pushing the trend further. Furthermore, the algorithm integrates On-Balance Volume (OBV) analysis, specifically looking for divergences. It detects subtle shifts where the price makes a new low, but the OBV makes a higher low, signaling that smart money is accumulating positions despite the falling price. This divergence logic is automated using pivot-based high/low detection arrays, adding a layer of foreshadowing that price-only indicators often miss.
Algorithmic Component III: Institutional Proxy and Intermarket Correlations
The Institutional Component distinguishes this framework from standard retail indicators by incorporating intermarket data that serves as a proxy for macro sentiment and institutional flow. The script pulls data from extraneous tickers—specifically the VIX (Volatility Index), Government Bond Yields (10-year and 2-year), Copper, Gold, and the Dollar Index (DXY). The logic here is grounded in fundamental market mechanics. For instance, the script analyzes the VIX to gauge market fear; however, it applies a contrarian logic. An extremely high VIX (panic) coincident with a low equity price is scored as a bullish factor, while a complacently low VIX at market highs is viewed as bearish. Similarly, the algorithm analyzes the Yield Curve (the spread between 10-year and 2-year yields). A steepening or flattening curve provides context on economic expectations, influencing the score based on whether the environment is "risk-on" or "risk-off." The Copper/Gold ratio is utilized as a barometer for global economic health; rising copper relative to gold suggests industrial demand and growth, confirming bullish setups, whereas falling copper prices signal contraction. By integrating these non-price variables, the framework ensures that a trade signal is not just technically sound but is also supported by the broader macroeconomic undercurrents that drive institutional capital allocation.
Algorithmic Component IV: Technical Momentum and Structure
The final layer of input comes from standard Technical Analysis, which serves to fine-tune the timing of the entry. This component aggregates readings from the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Bollinger Bands, and Support/Resistance proximity. While Z-Scores measure linear distance from the mean, the RSI and Bollinger Bands measure the velocity and elasticity of that move. The algorithm assigns higher scores when RSI hits extreme levels (below 20 or above 80) and when price action pierces the outer bounds of the Bollinger Bands. Additionally, the MACD is monitored for histogram reversals and signal line crosses that align with the mean reversion bias. A unique feature of this component is the proximity logic, which calculates how close the current price is to a 50-period high or low. If a statistical extreme coincides with a retest of a major structural support level, the technical score is maximized. This ensures that the trader is not catching a falling knife in a void, but rather identifying a reversal at a location where technical structure provides a natural floor or ceiling for price.
Regime Detection and Confidence Adjustment
A critical vulnerability of mean reversion strategies is that they can suffer severe drawdowns during strong, unidirectional trending markets (momentum regimes). To mitigate this, the framework incorporates a Regime Detection module using the Average Directional Index (ADX) and volatility thresholds. The script calculates the ADX to measure trend strength regardless of direction. If the ADX is above a certain threshold (default 25), the market is classified as "Trending." The script then cross-references this with volatility data to classify the environment into regimes such as "Crisis," "Trending," "Range," or "Mean-Revert." This classification is not merely cosmetic; it actively influences the final output through a "Regime Confidence" multiplier. If the system detects a strong trending regime, it dampens the Composite Score, requiring extraordinary evidence from the other components to trigger a signal. Conversely, if the market is detected as "Mean-Revert" or "Low-Vol Range," the confidence multiplier boosts the score, making the system more sensitive to reversion signals. This adaptive logic helps protect the trader from fading strong breakouts while aggressively capitalizing on ranging markets.
Usage Instructions and Dashboard Interpretation
Traders utilizing this framework should primarily interact with the on-screen Dashboard, which provides a real-time summary of all computed metrics. The dashboard is organized hierarchically, with the "Composite Score" and "Signal Status" at the top. A Composite Score above 70 is generally considered actionable, with scores above 85 representing "Exceptional" setups. The Dashboard is color-coded: green hues indicate bullish/oversold conditions suitable for buying, while red hues indicate bearish/overbought conditions suitable for selling or shorting. Traders should look for "Confluence" across the rows. Ideally, a robust signal will show a high Statistical score (indicating price is cheap/expensive), a high Volume score (indicating capitulation or accumulation), and a supportive Institutional score. If the Composite Score is high but the Institutional score is low, the trader should proceed with caution, as the macro environment may not support the trade.
The chart visuals provide immediate entry triggers. "Strong Bottom" (Green Triangle) and "Strong Top" (Red Triangle) shapes appear when the Composite Score breaches the high threshold and Z-Scores are at extremes. These are the primary execution signals. Smaller "Potential" markers indicate developing setups that may require lower timeframe confirmation. Additionally, specific volume icons (Diamonds) will appear to denote Capitulation or Climax events. A trader should ideally wait for the candle to close to confirm these signals. The alerts configured in the script allow the trader to be notified of these events remotely. For risk management, because this is a mean reversion tool, stop-losses should typically be placed below the swing low of the capitulation candle (for longs) or above the swing high of the climax candle (for shorts), anticipating that the statistical extreme marks the distinct turning point. By systematically waiting for the Composite Score to align with the visual signals and verifying the regime context on the dashboard, the trader effectively filters out low-probability trades, engaging only when statistics, volume, and macro-economics align.
VIX Percentile OscillatorWhat is this script?
This is a trading tool that helps you decide when to buy or sell options based on market volatility. Think of it as a "fear meter" for the stock market.
What is VIX?
VIX = Volatility Index (also called the "fear index")
When VIX is HIGH → Market is scared/volatile → Options are EXPENSIVE
When VIX is LOW → Market is calm → Options are CHEAP
What does "Percentile" mean?
Instead of just showing VIX price, this script shows where VIX is compared to history.
Example: If VIX Percentile = 85%
This means VIX is higher than 85% of all past readings
Only 15% of the time was VIX higher than now
Translation: Volatility is unusually HIGH
The 5 Trading Zones
The script divides the market into 5 zones:
🔴 EXTREME SELLING ZONE (90-100%)
VIX is in the top 10% historically
Action: AGGRESSIVELY SELL OPTIONS (collect big premiums)
Market panic = expensive options = profit for sellers
🟠 SELLING ZONE (80-89%)
VIX is elevated but not extreme
Action: SELL OPTIONS (good premiums available)
⚪ NEUTRAL ZONE (20-79%)
VIX is normal
Action: WAIT or use other strategies
🟢 BUYING ZONE (10-19%)
VIX is low
Action: BUY OPTIONS (they're cheap)
🟢 EXTREME BUYING ZONE (0-9%)
VIX is in the bottom 10% historically
Action: AGGRESSIVELY BUY OPTIONS (bargain prices)
Market complacency = cheap options = opportunity
Understanding the Chart
Main Line (Blue/Red/Green):
Shows current VIX percentile
Color changes based on zone
Thick line = easy to see
Histogram (Background bars):
Red bars = above 50% (high volatility)
Green bars = below 50% (low volatility)
Purple Momentum Line:
Shows if VIX is rising or falling
Helps you catch trends early
Background Colors:
Light red/orange = Selling zones
Light green = Buying zones
Triangle Markers:
Appear when entering new zones
"EXTREME" label = strongest signals
The Statistics Table (Top Right)
VIX Price: Current VIX value (e.g., 16.50)
Percentile: Where VIX ranks (0-100%)
Z-Score: Statistical measure
Above +2 or below -2 = extreme
Red text = unusually high/low
Momentum: Rate of change
Red = rising (volatility increasing)
Green = falling (volatility decreasing)
Avg VIX: Average VIX over lookback period
Current Zone: Which zone you're in right now
Bars in Zone: How long you've been in this zone
Simple Trading Rules
FOR OPTION SELLERS (Premium Collectors):
✅ SELL when: Percentile > 80% (especially > 90%)
High premiums available
Examples: Sell covered calls, cash-secured puts, credit spreads
FOR OPTION BUYERS (Hedgers/Speculators):
✅ BUY when: Percentile < 20% (especially < 10%)
Cheap options available
Examples: Buy protective puts, long calls, debit spreads
Key Settings You Can Adjust
Lookback Period (default: 252)
How far back to compare (252 = 1 year of trading days)
Longer = smoother, more stable
Shorter = more sensitive to recent changes
Smoothing Period (default: 3)
Reduces noise/wiggling
Higher = smoother line
Lower = more responsive
Zone Thresholds:
Extreme Sell: 90%
Sell: 80%
Buy: 20%
Extreme Buy: 10%
You can customize these!
Real-World Example
Scenario: VIX Percentile jumps to 92%
What this means:
VIX is higher than 92% of all past readings
Market is in panic mode
Option premiums are INFLATED
Trading Action:
✅ Sell covered calls on stocks you own
✅ Sell cash-secured puts on stocks you want to buy
✅ Sell credit spreads
❌ DON'T buy expensive options right now
Why it works: When fear is extreme, it usually calms down eventually. You profit as premiums deflate.
Important Reminders
⚠️ This is a TIMING tool, not a crystal ball
It tells you WHEN premiums are expensive/cheap
It doesn't tell you WHICH options to trade
You still need proper risk management
⚠️ Works on ALL timeframes
Daily charts = swing trading
Weekly charts = position trading
Intraday charts = day trading volatility
⚠️ Best for:
Option sellers during high VIX (>80%)
Option buyers during low VIX (<20%)
Portfolio hedging decisions
Volatility trading strategies
Bottom Line: This script helps you buy options when they're cheap and sell options when they're expensive. It's like shopping for sales, but for volatility!
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
TZ - India VIX Volatility ZonesTZ – India VIX Volatility Zones is a long-term volatility analysis indicator designed to visually map important India VIX regimes using clearly defined horizontal zones and labels.
The indicator highlights how market volatility cycles between complacency, normal conditions, elevated risk, and panic phases. These zones are based on historical behavior of India VIX and help traders understand when risk is underpriced or overstretched.
This tool is especially useful for:
Index traders
Options sellers and buyers
Risk management and regime filtering
Long-term volatility study
How It Works
The script plots static, historically significant volatility zones on the India VIX chart and visually separates them using shaded bands and labels.
Volatility Zones Explained
1.Extreme Low Volatility (VIX 8–10)
Indicates market complacency and underpriced risk. Often precedes volatility expansion.
2.Low Volatility (VIX 10–13)
Stable market conditions with controlled movement.
3.Normal Volatility (VIX 13–18)
Healthy market behavior and balanced risk.
4.High Volatility (VIX 18–25)
Rising uncertainty and increased intraday swings.
5.Panic Zone (VIX 25–35+)
High fear environment, usually during major events or crises.
How Traders Can Use This Indicator
Identify volatility regimes before choosing option strategies
Avoid aggressive short-volatility trades during extreme zones
Prepare for volatility expansion during low-VIX phases
Use as a market risk context tool alongside price action
This indicator does not provide buy/sell signals. It is designed for contextual analysis and decision support.
Best Usage
Apply on India VIX (NSE:INDIAVIX)
Works best on Weekly and Monthly timeframes
Can be combined with index charts for volatility-based risk assessment
Disclaimer
This indicator is for educational and analytical purposes only.
It does not constitute financial advice or trade recommendations.
Users should apply proper risk management and confirm signals using additional analysis.
Volatility Regimes | GainzAlgo📊 OVERVIEW
This is a comprehensive ATR-based trading system designed for professional traders who need advanced volatility analysis, precise trade management, and intelligent market-regime detection.
The indicator combines multiple proven volatility concepts into one powerful, highly customizable tool.
⚙️ CORE FEATURES
1️⃣ ATR BANDS (Dynamic Support & Resistance)
- Three levels of ATR-based bands plotted around price
- Band 1 (1× ATR): Closest support/resistance, primary TP target
- Band 2 (2× ATR): Secondary TP target, stronger S/R zone
- Band 3 (3× ATR): Extended TP target, major S/R level
- Bands adapt to volatility in real time
- Dotted lines mark TP points on the latest candle
2️⃣ VOLATILITY REGIME DETECTION (Market Phase Analysis)
Automatically classifies the market into four distinct volatility regimes:
🟢 COMPRESSION
ATR < 70% of baseline
Low-volatility consolidation, market is coiling
Best for: Preparing breakouts, tightening stops
🟠 EXPANSION
ATR 115–140% of baseline
Volatility breakout, early trend formation
Best for: Breakout entries, momentum trades
🔴 HIGH VOLATILITY
ATR > 140% of baseline
Strong sustained trend, maximum participation
Best for: Trend following, trailing stops
🟣 EXHAUSTION
Declining ATR after high volatility
Trend maturity, potential pause or reversal
Best for: Profit taking, reducing exposure
Additional details:
- Uses ATR Ratio (Current ATR / Long-term Baseline)
- Non-repainting logic with historical confirmation
- Background shading + regime labels for instant clarity
- Diamond markers highlight regime changes
3️⃣ DYNAMIC STOP-LOSS SYSTEM
- Automatically calculates optimal stop distance using ATR
- Adapts to current market volatility
- Separate logic for bullish and bearish trades
- Default 2× ATR multiplier (adjustable 0.5× – 5×)
- Visual cross markers display stop levels
- Tighter stops in low volatility, wider in high volatility
4️⃣ MULTIPLE TAKE-PROFIT LEVELS (TP1 / TP2 / TP3)
- Three progressive profit targets for scaling out
- TP1 (1.5× ATR): First partial profit
- TP2 (2.5× ATR): Secondary scale-out
- TP3 (4.0× ATR): Final target or runner
- Dashed lines with labels on the current bar
- Automatically aligns with trend direction
- Fully customizable multipliers
5️⃣ SUPPORT & RESISTANCE LEVELS
- Dynamic S/R detection using price extremes
- ATR-weighted significance filtering
- Adjustable lookback period (10–100 bars)
- Circle markers for visual clarity
- Updates in real time as new highs/lows form
6️⃣ RISK MANAGEMENT CALCULATOR
- Real-time position-size calculation
- Based on account size, risk percentage, and ATR stop distance
- Formula: Position Size = Risk Amount ÷ Stop Distance
- Example: $10,000 account, 1% risk, $50 stop = 200 shares
- Displays position size and dollar risk directly on chart
- Ensures consistent risk across all trades
7️⃣ ATR PERCENTILE RANKING
- Shows where current ATR ranks historically (0–100%)
- Above 80%: Extremely high volatility
- 20–80%: Normal volatility
- Below 20%: Extremely low volatility
- Adjustable lookback (50–500 bars)
- Alerts trigger at above 90% and below 10% extremes
- Adds context to all regime-based decisions
8️⃣ VOLATILITY CONTRACTION PATTERN
- Detects tight consolidation (volatility squeeze)
- Requires consecutive bars of low ATR
- Default: 7 bars below 50% of average ATR
- Yellow triangle alert when pattern completes
- Often precedes strong breakout moves
- Works on all timeframes
9️⃣ TREND DETECTION SIGNALS
- Up and down arrows on trend change with rising ATR
- Combines price direction with volatility confirmation
- Smoothing filters reduce false signals
- Green arrow for bullish, red arrow for bearish
🔟 VOLATILITY BREAKOUT SIGNALS
- Circle markers when ATR exceeds threshold
- Default threshold: 1.5× ATR average
- Indicates surge in market activity
- Can signal the start of new trends
🧠 RECOMMENDED SETTINGS BY TRADING STYLE
Day Trading (1m–15m)
ATR Length: 14
Regime Baseline: 30
SL Multiplier: 1.5–2.0
TP: 1.5 / 2.5 / 4.0
Risk: 0.5–1%
Swing Trading (1H–4H)
ATR Length: 14
Regime Baseline: 50
SL Multiplier: 2.0–2.5
TP: 2.0 / 3.5 / 6.0
Risk: 1–2%
Position Trading (Daily)
ATR Length: 14–21
Regime Baseline: 100
SL Multiplier: 2.5–3.0
TP: 3.0 / 5.0 / 8.0
Risk: 2–3%
Scalping (15s–5m)
ATR Length: 10
Regime Baseline: 20
SL Multiplier: 1.0–1.5
TP: 1.0 / 1.5 / 2.5
Risk: 0.5–1%
🧭 HOW TO USE
1. Identify the current volatility regime
2. Wait for entry confirmation (breakouts, trend arrows, contraction patterns)
3. Set stop loss using dynamic ATR-based levels
4. Scale out at TP1, TP2, TP3 or use ATR bands
5. Use the risk calculator for consistent position sizing
6. Monitor regime changes and manage exposure accordingly
🚨 ALERT SYSTEM
Alerts included for volatility breakouts, trend changes, regime transitions, ATR band crosses, contraction pattern completion, and ATR percentile extremes.
All alerts are fully configurable in TradingView.
🎨 VISUAL GUIDE
Background colors: Volatility regimes
Solid lines: ATR bands
Dotted lines: Latest TP points
Dashed lines: Take-profit levels
Cross markers: Stop-loss levels
Circles: Support, resistance, and breakouts
Arrows: Trend direction
Diamonds: Regime changes
Triangles: Contraction alerts
Labels: Regime info, ATR percentile, position size
🛠️ CUSTOMIZATION
- Toggle any feature on or off
- Adjust all thresholds and multipliers
- Customize colors
- Configure alerts
- Set account size and risk parameters
⚠️ IMPORTANT NOTES
- This indicator provides analytical tools, not trading signals
- Always apply proper risk management
- Backtest before live use
- ATR adapts to volatility, not direction
If you find this indicator useful, please leave a rating and comment ⭐
Kalman Hull Kijun [BackQuant]Kalman Hull Kijun
A trend baseline that merges three ideas into one clean overlay, Kalman filtering for noise control, Hull-style responsiveness, and a Kijun-like Donchian midline for structure and bias.
Context and lineage
This indicator sits in the same family as two related scripts:
Kalman Price Filter
This is the foundational building block. It introduces the Kalman filter concept, a state-estimation algorithm designed to infer an underlying “true” signal from noisy measurements, originally used in aerospace guidance and later adopted across robotics, economics, and markets.
Kalman Hull Supertrend
This is the original script made, which people loved. So it inspired me to create this one.
Kalman Hull Kijun uses the same core philosophy as the Supertrend variant, but instead of building a Supertrend band system, it produces a single structural baseline that behaves like a Kijun-style reference line.
What this indicator is trying to solve
Most trend baselines sit on a bad trade-off curve:
If you smooth hard, the line reacts late and misses turns.
If you react fast, the line whipsaws and tracks noise.
Kalman Hull Kijun is designed to land closer to the middle:
Cleaner than typical fast moving averages in chop.
More responsive than slow averages in directional phases.
More “structure aware” than pure averages because the baseline is range-derived (Kijun-like) after filtering.
Core idea in plain language
The plotted line is a Kijun-like baseline, but it is not built from raw candles directly.
High level flow:
Start with a chosen price stream (source input).
Reduce measurement noise using Kalman-style state estimation.
Add Hull-style responsiveness so the filtered stream stays usable for trend work.
Build a Kijun-like baseline by taking a Donchian midpoint of that filtered stream over the base period.
So the output is a single baseline that is intended to be:
Less jittery than a simple fast MA.
Less laggy than a slow MA.
More “range anchored” than standard smoothing lines.
How to read it
1) Trend and bias (the primary use)
Price above the baseline, bullish bias.
Price below the baseline, bearish bias.
Clean flips across the baseline are regime changes, especially when followed by a hold or retest.
2) Retests and dynamic structure
Treat the baseline like dynamic S/R rather than a signal generator:
In uptrends, pullbacks that respect the baseline can act as continuation context.
In downtrends, reclaim failures around the baseline can act as continuation context.
Repeated back-and-forth around the line usually means compression or chop, not clean trend.
3) Extension vs compression (using the fill)
The fill is meant to communicate “distance” and “pressure” visually:
Large separation between price and baseline suggests expansion.
Price compressing into the baseline suggests rebalancing and decision points.
Inputs and what they change
Kijun Base Period
Controls the structural memory of the baseline.
Higher values track broader swings and reduce flips.
Lower values track tighter swings and react faster.
Kalman Price Source
Defines what data the filter is estimating.
Close is usually the cleanest default.
HL2 often “feels” smoother as an average price.
High/Low sources can become more reactive and less stable depending on the market.
Measurement Noise
Think of this as the main smoothness knob:
Higher values generally produce a calmer filtered stream.
Lower values generally produce a faster, more reactive stream.
Process Noise
Think of this as adaptability:
Higher values adapt faster to changing conditions but can get twitchy.
Lower values adapt slower but stay stable.
Plotting and UI (what you see on chart)
1) Adaptive line coloring
Baseline turns bullish color when price is above it.
Baseline turns bearish color when price is below it.
This makes the state readable without extra panels.
2) Gradient “energy” fill
Bull fill appears between price and baseline when above.
Bear fill appears between price and baseline when below.
The goal is clarity on separation and control, not decoration.
3) Rim effect
A subtle band around price that only appears on the active side.
Helps highlight directional control without hiding candles.
4) Candle painting (optional)
Candles can be colored to match the current bias.
Useful for scanning many charts quickly.
Disable if you prefer raw candles.
Alerts
Long state alert when price is above the baseline.
Short state alert when price is below the baseline.
Best used as a bias or regime notification, not a standalone entry trigger.
Where it fits in a workflow
This is a context layer, it pairs well with:
Market structure tools, BOS/MSB, OBs, FVGs.
Momentum triggers that need a regime filter.
Mean reversion tools that need “do not fade trends” context.
Limitations
No baseline eliminates chop whipsaws, tuning only manages the trade-off.
Settings should not be copy pasted across assets without checking behavior.
This does not forecast, it estimates and smooths state, then expresses it as a structural baseline.
Disclaimer
Educational and informational only, not financial advice.
Not a complete trading system.
If you use it in any trading workflow, do proper backtesting, forward testing, and risk management before any live execution.
Buying Opportunity Score V2.2Buying Opportunity Indicator V2.2
What This Indicator Does
This indicator identifies potential buying opportunities during market fear and pullbacks by combining multiple technical signals into a single composite score (0-100). Higher scores indicate more fear/oversold conditions are present simultaneously.
Why These Components?
Market bottoms typically occur when multiple fear signals align. This indicator combines five complementary measurements that each capture different aspects of market stress:
1. VIX Level (30 points) - Measures implied volatility/fear. VIX spikes during selloffs as traders buy protection. Thresholds based on historical percentiles (VIX 25+ is ~85th percentile historically).
2. Price Drawdown (30 points) - Distance from 52-week high. Larger drawdowns create better risk/reward for mean reversion entries. A 10%+ drawdown from highs historically presents better entry points than buying at all-time highs.
3. RSI 14 (12 points) - Classic momentum oscillator measuring oversold conditions. RSI below 30 indicates short-term selling exhaustion.
4. Bollinger Band Position (13 points) - Statistical measure of price extension. Price below the lower band (2 standard deviations) indicates statistically unusual weakness.
5. VIX Timing (15 points) - Bonus points when VIX is declining from a recent peak. This helps avoid catching falling knives by waiting for fear to subside.
How The Score Works
- Each component contributes points based on severity
- Components are weighted by predictive value from historical analysis
- Score of 70+ means multiple fear signals are present
- Score of 80+ means extreme fear across most components
How To Use
1. Apply to SPY, QQQ, or IWM on daily timeframe
2. Monitor the Current Score in the statistics table
3. Scores below 50 = normal conditions, no action needed
4. Scores 60-69 = elevated fear, monitor closely
5. Scores 70+ = consider entering long positions
6. Scores 80+ = strongest historical entry points
Important Limitations
- This is a research tool, not financial advice
- Past patterns may not repeat in the future
- Signals are infrequent (typically 2-4 per year reaching 70+)
- Works best on broad market ETFs; not validated for individual stocks
- Always use proper position sizing and risk management
- The indicator identifies conditions that have historically been favorable, but cannot predict future returns
Statistics Table
The table shows:
- Current Score with context message
- Chart Results: Rolling 1Y/3Y/5Y statistics from your loaded chart data
Alerts
Multiple alert options available for different score thresholds.
Open Source
Code is fully visible for review and educational purposes.
ATR-Normalized VWMA DeviationThis indicator measures how far price deviates from the Volume-Weighted Moving Average ( VWMA ), normalized by market volatility ( ATR ). It identifies significant price reversal points by combining price structure and volatility-adjusted deviation behavior.
The core idea is to use VWMA as a dynamic trend anchor, then measure how far price travels away from it relative to recent volatility . This helps highlight when price has stretched too far and may be due for a reversal or pullback.
How it works:
VWMA deviation is calculated as the difference between price and the VWMA.
That deviation is divided by ATR (Average True Range) to normalize for current volatility.
The script tracks the highest and lowest normalized deviations over the chosen lookback period.
It also tracks price structure (highest/lowest highs/lows) over the same period.
A reversal signal is generated when a historical extreme in deviation aligns with a price structure extreme, and a confirmed reversal candle forms.
You get visual signals and color highlights where these conditions occur.
Settings explained:
Lookback period defines how many bars the script uses to find recent extremes.
ATR length controls how volatility is measured.
VWMA length controls how the volume-weighted moving average is calculated.
Signal filters help refine entries based on price vs deviation behavior.
Display options let you customize how signals and levels appear on the chart.
This indicator is especially useful for spotting potential turning points where price has moved far from VWMA relative to volatility, suggesting possible exhaustion or overextension.
Tips for use:
Combine with broader trend context (higher timeframe support/resistance).
Use with risk management rules (position sizing, stops) — signals are guides, not guaranteed entries.
Adjust lookback and ATR settings based on your trading timeframe and asset volatility.
Futures Ultra CVD (Pure )Futures Ultra CVD (Pure)
Futures Ultra CVD (Pure) is a volume-driven Cumulative Volume Delta (CVD) indicator designed to expose real buying and selling pressure behind price movement. Unlike price-only indicators, this script analyzes how volume is distributed within each bar to determine whether aggressive buyers or sellers are in control, then tracks how that pressure evolves over time.
This version is intentionally pure and ungated: it does not rely on external symbols, market filters, session bias, or macro confirmation. All signals are derived strictly from price, volume, and delta behavior of the active chart, making it suitable for futures, equities, crypto, and FX.
Core Concept: How CVD Is Calculated
For each bar, volume is split into buying pressure and selling pressure using the bar’s price position:
Buying volume increases as price closes closer to the high
Selling volume increases as price closes closer to the low
The difference between buying and selling volume forms Delta:
Positive delta = net aggressive buying
Negative delta = net aggressive selling
This delta is then accumulated into Cumulative Volume Delta (CVD) using one of three user-selectable modes:
Total – running cumulative sum of all delta values
Periodic – rolling sum over a fixed lookback period
EMA – smoothed cumulative delta using an exponential average
This flexibility allows traders to choose between raw order-flow tracking or smoother, trend-like behavior depending on timeframe and instrument.
Visual Structure & Histogram Logic
The CVD is displayed as a column histogram, not a line, to emphasize momentum and pressure shifts.
Enhanced coloring provides additional context:
Brighter green/red bars indicate increasing momentum
Muted colors indicate stalling or weakening pressure
Optional footprint-style highlights appear when buy or sell volume overwhelms the opposite side by a user-defined imbalance factor
This allows traders to visually distinguish:
Strength vs weakness
Continuation vs exhaustion
Absorption and aggressive participation
Built-In Order Flow Signals
The script automatically detects and labels key order-flow events:
Strong Delta
Triggered when delta exceeds a user-defined threshold, highlighting unusually aggressive buying or selling.
Delta Surge
Detects sudden expansion in delta compared to the prior bar, often associated with breakout attempts or liquidation events.
Zero-Line Crosses
Marks transitions between net bullish and bearish participation as CVD crosses above or below zero.
CVD Continuation Logic (Trend Confirmation)
Beyond raw delta, the script evaluates CVD structure to identify continuation conditions:
A bullish continuation requires:
Positive and rising CVD
Strong buy delta
Confirmation from at least one of the following:
CVD above its EMA and SMA
Bullish price expansion
Sustained positive delta pressure
Bearish continuation follows the inverse logic.
These continuation signals are designed to confirm participation strength, not predict reversals.
Conflict Detection (Divergence Warning)
The indicator also flags conflict conditions, where:
Strong buying occurs while CVD remains negative
Strong selling occurs while CVD remains positive
These scenarios often precede failed breakouts, absorption zones, or short-term reversals and can be used as cautionary signals.
Alerts & Practical Use
All major events include built-in alerts:
Strong delta
Delta surge
CVD continuations
Zero-line crosses
Buy/sell imbalances
Conflict signals
Alerts can be set to trigger on bar close or intrabar in real time, depending on trader preference.
How Traders Typically Use This Indicator
Confirm breakouts with delta participation
Validate trends using CVD continuation instead of price alone
Identify absorption or exhaustion via conflicts and imbalances
Combine with price structure, VWAP, or market profile tools
This script is not a trading system by itself. It is a decision-support tool designed to reveal what price alone cannot: who is actually in control of the market.
On-Chart Symbols & What They Mean
This script uses a small number of visual symbols to communicate order-flow events clearly and consistently. All symbols are derived directly from the Cumulative Volume Delta calculations described above.
Δ+ (Green Up Arrow)
Strong Buy Delta
Indicates that buying pressure on the current bar exceeded the Strong Delta Threshold
Represents aggressive market buying dominating selling volume
Often appears during breakouts, trend acceleration, or initiative buying
This symbol does not imply direction by itself; it only confirms strong buyer participation.
Δ− (Red Down Arrow)
Strong Sell Delta
Indicates that selling pressure on the current bar exceeded the Strong Delta Threshold
Represents aggressive market selling dominating buying volume
Often appears during breakdowns, liquidation events, or initiative selling
Like Δ+, this symbol measures participation strength, not trade direction.
↑ (Green Label Up)
CVD Bullish Continuation
Appears when all of the following are present:
CVD is positive and increasing
Strong buy delta is detected
At least one confirmation condition is met:
CVD is above its EMA and SMA
Price shows bullish expansion
Consecutive positive delta bars (sustained buying pressure)
This symbol highlights trend continuation supported by volume, not a reversal signal.
↓ (Red Label Down)
CVD Bearish Continuation
Appears when:
CVD is negative and decreasing
Strong sell delta is detected
At least one confirmation condition is met:
CVD is below its EMA and SMA
Price shows bearish expansion
Consecutive negative delta bars (sustained selling pressure)
This indicates bearish continuation with participation confirmation.
Cyan / Orange Histogram Bars
Footprint-Style Volume Imbalance
Cyan bars indicate buy volume exceeds sell volume by the imbalance factor
Orange bars indicate sell volume exceeds buy volume by the imbalance factor
These bars highlight areas where one side is overwhelming the other, often associated with absorption, initiative moves, or failed auctions.
Bright vs Muted Histogram Colors
CVD Momentum State
Bright colors = CVD increasing in the direction of its current bias
Muted colors = CVD losing momentum or stalling
This allows quick visual identification of strengthening vs weakening participation.
Conflict Alerts (No Symbol by Default)
Delta vs CVD Disagreement
These conditions trigger alerts (but no fixed chart icon):
Strong buying while CVD remains negative
Strong selling while CVD remains positive
Conflicts often signal absorption, trap conditions, or short-term exhaustion.
Important Usage Notes
All symbols are informational, not trade entries.
Signals are calculated from price-based volume distribution, not true bid/ask data.
Results depend on the quality of volume data provided by the exchange and TradingView.
EDMR Index (Event Driven Mean Reversion Index)EDMR Index is a market context and exhaustion indicator designed to identify short term instability, stretch, and mean reversion risk in fast intraday markets.
Rather than generating trade signals, EDMR provides a real time regime framework that helps traders understand when price action is statistically favorable and when it is not.
This is not a buy / sell indicator.
It is a context engine built to integrate seamlessly with existing strategies.
Key Features
Composite 0–100 exhaustion index
Measures:
- Price stretch from equilibrium
- Recency of extreme conditions
- Momentum deceleration
Regime-based background visualization:
- Neutral
- Developing
- Elevated
- Extreme
Thin, non-intrusive EDMR line for precise reading
Volume exhaustion markers highlighting abnormal participation
Color-coded status-line value for instant regime awareness
Fully protected, invite-only script
Why Event-Driven Context Matters
Most indicators react after conditions change.
EDMR focuses on market state, not signals — highlighting when price action is becoming unstable or statistically stretched before risk escalates.
This allows traders to:
Avoid entries during high-risk exhaustion regimes
Better time mean-reversion setups
Scale aggression up or down based on context
Stay out of overextended or unstable conditions
Intended Use
Intraday trade filtering
Mean-reversion context
Momentum exhaustion awareness
Risk modulation for discretionary strategies
Optimized for lower timeframes (1–3 minute charts).
On higher timeframes, regimes will naturally remain elevated more often. This is expected behavior with the current parameters set. Changing of parameters are available in the settings menu and individual settings may work for you on higher timeframes.
Who This Is For
✔ Traders who already have defined entries
✔ Active intraday traders and scalpers
✔ Traders who value context over signals
✖ Not a buy/sell signal
✖ Not a standalone strategy
✖ Not designed for higher-timeframe swing trading out of the box
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial advice or guarantee performance.
Trading involves risk.
EDMR Index on SPY (2-minute).Visualizes exhaustion, compression, and reversion context during high-liquidity market conditions:
EDMR applied to BTCUSD (2-minute). Designed to respond to event-driven volatility across asset classes:
Consistent behavior across index ETFs. EDMR highlights mean-reversion pressure without generating trade signals:
High-beta equity example (NVDA, 2-minute). EDMR adapts to rapid volatility expansion and contraction:
ACT Professional SuiteThis is a proprietary system architecture designed to calculate structural capacity in financial markets.
PAPER TRADING / TESTING IS RECOMMENDED BEFORE LIVE DEPLOYMENT.
█ WHAT IT IS - ONE SCRIPT; TWO ENGINES
1. TRD Engine (Macro Trend)
• BUY (Green)
• SELL (Red)
2. OPT Engine (Micro Timing)
• HOLD (Grey)
• GROWTH (Green)
• LIMIT (Orange)
• SURFING (Orange)
• SELL (Red)
█ HOW TO USE
MODE A: PASSIVE SCANNING (Default)
Use this to identify potential entries.
• WAIT: System is stable.
• LONG/SHORT: Momentum is building in a specific direction.
MODE B: ACTIVE TRADE MANAGEMENT (The Core Feature)
Once you have entered a position, check the "Activate Management Mode" box in settings. The system will now guide your exit strategy based on your defined risk parameters.
The Status Sequence:
1. HOLD: Price is moving within safe limits. (Safe)
2. STRONG GROWTH: Price movement is increasing. (Profitable)
3. LIMIT REACHED: Your defined % target is hit. (Decision Point)
4. SURFING...: The system is moving beyond the limit.
5. SELL / BREACH: The structural limit is reached. Probability of collapse is critical. Immediate exit recommended.
█ ACCESS & AUTHORIZATION
This is an Invite-Only script. Access is automated via our central hub.
whop.com
Disclaimer: This tool provides structural analysis, not financial advice. Use rationally.
POB-Purity of BreakoutThis indicator is a structure-based price framework designed to project objective market levels from a single, well-defined price range.
Unlike traditional trendlines or moving indicators, all levels produced by this tool are static, repeatable, and mathematically aligned, allowing traders to plan trades in advance rather than reacting after price moves.
This tool is not a signal generator.
It is a price framework.
Trendlines depend on how you draw them.
This framework depends on how the market is structured.
That difference is what makes it powerful.
Instruction
Update previous predmoninent high and low numbers manually of any stock/ index, and breakout levels are drawn automatically. It works in any time frame anywhere in the world.
