Stochastic Ensembling of OutputsStochastic Ensembling of Outputs
🙏🏻 This is a simple tool/method that would solve naturally many well known problems:
“Price reversed 1 tick before the actual level, not executing my limit order”
“I consider intraday trend change by checking whether price is above/below VWAP, but is 1 tick enough? What to do, price is now whipsawing around vwap...”.
“I want to gradually accumulate a position around a chosen anchor. But where exactly should I put my orders? And I want to automate it ofc.“
“All these DSP adepts are telling you about some kind of noise in the markets… But how can I actually see it?”
The easy fix is to make things more analog less digital, by synthesizing numerous noise instances & adding it to any price-applied metric of yours. The ones who fw techno & psytrance, and other music, probably don’t need any more explanations. Then by checking not just 2 lines or 1 process against another one, you will be checking cloud vs cloud of lines, even allowing you to introduce proxies of probabilities. More crosses -> more confirmation to act.
How-to use:
The tool has 2 inputs: source and target:
Sources should always be the underlying process. If you apply the tool to price based metric, leave it hlcc4 unless you have a better one point estimate for each bar;
Target is your target, e.g if you want to apply it to VWAP, pick VWAP as target. You can thee on the chart above how trading activity recently never exactly touched VWAP, however noised instances of VWAP 'were' touched
The code is clean and written in modular form, you can simply copy paste it to any script of yours if you don't want to have multiple study-on-study script pairs.
^^ applied to prev days highs and lows
^^ applied to MBAD extensions and basis
^^ applied to input series itself
Here’s how it works, no ML, no “AI”, no 1k lines of code, just stats:
The problem with metrics, even if they are time aware like WMA, is that they still do not directly gain information about “changes” between datapoints. If we pick noise characteristics to match these changes, we’d effectively introduce this info into our ops.
^^ this screenshot represents 2 very different processes: a sine wave and white noise, see how the noise instances learned from each process differ significantly.
Changes can be represented as AR1 process . It’s dead simple, no PHD needed, it’s just how the current datapoint is related (or not) to the previous datapoint, no more than 1, and how this relationship holds/evolves over time. Unlike the mainstream approach like MLE, I estimate this relationship (phi parameter) via MoM but giving more weights to more recent datapoints via exponential smoothing over all the data available on your charts (so I encode temporal information), algocomplexity is O(1), lighting fast, just one pass. <- that gives phi , we’d use it as color for our noise generator
Then we just need to estimate noise amplitude ( gamma ) via checking what AR1 model actually thought vs the reality, variance of these innovations. Same via exponential smoothing, time aware, O(1), one pass, it’s all it does.
Then we generate white gaussian noise, and apply 2 estimated parameters (phi and gamma), and that’s all.
Omg, I think I just made my first real DSP script xd
Just like Monte Carlo for risk management, this is so simple and natural I can’t believe so many “pros” hide it and never talk about it in open access. Sharing it here on TradingView would’ve not done anything critical for em, but many would’ve benefited.
∞
Volatility
Rasta Long/Short — StrategyThe Rasta Long/Short Strategy is a visual and educational framework designed to help traders study momentum shifts that appear when a fast EMA interacts with a slower smoothed baseline.
It is not a signal service. Instead, it is a research tool that helps you observe transitions, structure, and behavior across different market conditions and smoothing contexts.
The script plots:
A primary EMA line (fast reaction wave).
A Smoothed line (your chosen smoothing method).
Color-coded fog regions showing directional bias.
Optional DNA rung connections between the two lines for structural comparison.
Together, these allow a deeper study of how momentum pushes, volatility compression, expansions, and drift emerge around fast/slow EMA interactions.
✦ Core Idea
The Rasta Long/Short mechanism studies how price behaves when the fast EMA crosses above or below a smoothed anchor.
Rather than predicting price, it reveals where transitions occur across different structures, timeframes, and smoothing techniques.
The Long/Short logic simply highlights flips in directional structure.
It is not intended for real-time signals or automated execution; it is intended for understanding market movement.
✦ Smoothing Types (Explained)
The strategy allows experimenting with several smoothing families to observe how they transform the fast EMA:
SMA (Simple Moving Average)
Averaged, slower response. Good for stability comparisons.
EMA (Exponential)
Faster reaction, more responsive, smoother behavior during momentum.
RMA (Wilder’s)
Used in RSI calculations; steady, well-balanced response.
WMA (Weighted)
More weight to recent bars; bridges SMA and EMA dynamics.
None
Raw EMA vs EMA interaction with no secondary smoothing.
Each smoothing type provides unique structural information and can lead to different interpretations.
✦ Modes of Study
Designed for multi-timeframe research:
1H / 4H — Momentum flow mapping and structural identification.
Daily / Weekly — Higher-timeframe rotations, macro structure transitions.
1–15m — Microstructure studies, noise vs trend emergence.
Use the built-in Strategy Tester to explore entry/exit context, but treat results as research, not predictive performance.
✦ Components (Visual Study Tools)
EMA Line (Fast)
Primary reactive wave. Shows fast directional shifts.
Smoothed Line (Slow)
Trend baseline / reference structure.
Fog Region
Highlights fast-vs-smoothed directional alignment.
DNA Rungs (Optional)
Structural “bridges” showing the exact relationship between waves on each bar.
Useful for studying separation, compression, and expansions.
✦ Educational Insights
This strategy helps illuminate:
How fast and slow EMAs interact dynamically.
How structure changes precede trend emergence.
Where volatility compresses before expansion.
How noise, drift, and clean reversals differ.
How different smoothers alter the interpretation of the same price data.
The goal is clarity — not prediction.
✦ How to Use
Apply to any timeframe or instrument.
Enable or disable fog depending on preferred visibility.
Use DNA rungs for close structural comparison.
Observe long/short flips as educational reference points — not signals.
Study transitions visually, then backtest using the Strategy Tester for pattern research.
✦ Disclaimer
This script is provided for educational and research purposes only.
It does not provide trading signals, financial advice, or recommendations.
Past behavior does not indicate future performance.
Always practice risk-aware study and consult qualified financial professionals when needed.
✦ Author
Michael Culpepper (mikeyc747)
Creator of the Rasta framework and related market structure studies.
ATRP & Volatility Table - AIMAN93The ATRP & Volatility Table is a simple yet powerful tool designed to quantify market volatility and help traders adapt their position sizing accordingly.
It calculates the Average True Range Percentage (ATRP) — the ATR value relative to current price — and classifies market conditions into three volatility levels: LOW, MEDIUM, or HIGH. Based on the volatility level, it suggests an indicative risk percentage to guide your trade management.
This visual tool displays real-time ATRP, volatility classification, and corresponding risk percentage in a compact on-chart table. Ideal for systematic traders who rely on volatility-based decision-making, position sizing, or risk management models.
Features:
- Dynamic ATRP calculation for any symbol or timeframe
- Customizable colors for text and background
- Automatic volatility classification (low / medium / high)
- Suggested risk percentage for each volatility level
Keltner Channels BandsKeltner Channels Bands - パブリッシュ用説明文
日本語版
タイトル
Keltner Channels Bands (Multi-Timeframe)
説明文
概要
シンプルで視認性の高いケルトナーチャネルインジケーターです。マルチタイムフレーム機能を搭載し、どの時間足でも上位足のケルトナーチャネルを表示できます。
特徴
グレーカラーでチャートを見やすく保持
マルチタイムフレーム対応(デフォルト: 1時間足)
4時間足以上で自動非表示機能(チャートの見やすさを維持)
EMAまたはSMAの選択が可能
ATR倍率とバンド幅を自由にカスタマイズ
トレードコンセプト
ケルトナーチャネルは、価格のボラティリティに基づいたトレンド追従型インジケーターです。
基本的な使い方:
トレンド判定: 価格がバンドの上部で推移している場合は上昇トレンド、下部で推移している場合は下降トレンド
エントリー: 価格がバンド外に出た後、バンド内に戻るタイミングでトレンド方向へエントリー
エグジット: 価格が中心線(MA)に到達、または反対側のバンドに接近した時
ブレイクアウト: バンドを勢いよく突破した場合、新たなトレンドの始まりを示唆
推奨設定:
スイングトレード: Length 20, Multiplier 2.2, 1時間足または4時間足
デイトレード: Length 20, Multiplier 2.0, 5分足または15分足で1時間足を表示
注意事項
このインジケーターは単独での使用ではなく、他のテクニカル指標やプライスアクションと組み合わせて使用することを推奨します。
English Version
Title
Keltner Channels Bands (Multi-Timeframe)
Description
Overview
A simple and visually clean Keltner Channels indicator with multi-timeframe capabilities. Display higher timeframe Keltner Channels on any chart timeframe.
Features
Clean gray color scheme for better chart visibility
Multi-timeframe support (Default: 1-hour)
Auto-hide on 4H+ timeframes to maintain chart clarity
Choice between EMA or SMA
Customizable ATR multiplier and band width
Trading Concept
Keltner Channels is a volatility-based trend-following indicator that helps traders identify trend direction and potential entry/exit points.
Basic Usage:
Trend Identification: Price staying near upper band indicates uptrend; near lower band indicates downtrend
Entry Signals: Enter in trend direction when price returns inside the bands after moving outside
Exit Signals: Consider exits when price reaches the center line (MA) or approaches the opposite band
Breakout Trading: Strong momentum breaks through the bands may signal the start of a new trend
Recommended Settings:
Swing Trading: Length 20, Multiplier 2.2, 1H or 4H timeframe
Day Trading: Length 20, Multiplier 2.0, Display 1H channels on 5M or 15M charts
Disclaimer
This indicator should not be used alone. Combine it with other technical indicators and price action analysis for better trading decisions.
crypto editionUnlock the power of advanced algorithmic trading with this high-precision Crypto Trend-Following Strategy, engineered to adapt to any timeframe, yet highly optimized for lower-timeframe trading (M1–M15) where volatility creates exceptional opportunities — especially on small-cap and newly listed crypto coins.
Trend-Adaptive 3-Band Reversal CloudThis indicator plots a trend-adaptive, volatility-based 3-band cloud on your chart to visually contextualize potential high-probability reversal, balance, and exhaustion price zones — all in strict alignment with TradingView’s house rules and best compliance practices.
How It Works
Trend Detection:
The script determines short-term trend direction using two adjustable EMAs (fast and slow). When the fast EMA is above the slow, the environment is classified as an uptrend; when below, as a downtrend.
Adaptive Bands and Clouds:
Around the dynamic trend baseline, three cloud “bands” are drawn using multiples of an ATR (Average True Range) volatility filter, automatically adjusting for evolving market conditions:
Middle Band (Fair Value Zone): Area around the baseline, where price is statistically balanced.
Upper Outer Band: In an uptrend, this shows a potential 'exhaustion/overextension' area; in a downtrend, it can act as a deep pullback or reversal area.
Lower Outer Band: In an uptrend, this highlights a possible 'deep pullback/reversal' area; in a downtrend, it becomes the potential exhaustion zone.
Contextual RSI Markers:
When price is in one of the outer bands and RSI is overbought (upper) or oversold (lower), a tiny diamond marker appears on that band as extra context — offering a visual cue for a possible high-momentum exhaustion or deep reversal zone, but never a trade signal or advice.
Visuals and Compliance:
All cloud regions use three different, semi-transparent colors for easy reading, and never block price action.
Labels indicate only “Possible Exhaustion,” “Deep Pullback Zone,” and “Balanced/Fair Value”—the language is strictly neutral and descriptive.
All calculations run only on confirmed, historical bars with zero repainting, no future bar lookahead, and no predictive overlays.
How to Use
Add to Chart:
Simply add the indicator to any chart and timeframe.
Configure:
Adjust the EMA, ATR, and RSI settings via the input panel to best fit your instrument and preferred sensitivity.
Choose band multipliers to widen or contract the cloud according to volatility or your system.
Toggle RSI marker/context highlighting as desired.
Interpretation:
Middle Cloud (“Balanced/Fair Value”): Price in this zone suggests mean reversion, equilibrium, or fair pricing for the session’s volatility/trend conditions.
Outer Clouds: If price reaches an outer cloud, pay attention for potential mean-reversion (if trend persists) or exhaustion zones (especially if a diamond appears).
Uptrend: Lower cloud is where larger pullbacks/reversals are often initiated; upper cloud indicates potential trend exhaustion.
Downtrend: Upper and lower clouds are reversed in interpretation.
Diamond Markers: A red diamond atop the upper band signifies RSI overbought; a lime diamond below the lower band shows RSI oversold. These do not recommend trading—only highlight increased likelihood that buyers/sellers may be overextended.
Best Practices:
Do not use the indicator in isolation or as a signal generator. Combine its context with price action confirmation, volume, or other non-repainting tools.
Use labels only for navigation/context, never as actionable advice.
Technical Details
Inputs/Customization: Fully adjustable (EMAs, ATR period, band multipliers, RSI thresholds, label/marker toggles).
Logic: All code processes only historical closed bars and overlays information in real time.
No repaint, strategy, or alerts: No signals, no script-driven trading, and no claims of prediction or guaranteed probability.
House-rule Clean: The script and its visuals are compliant with TradingView’s publishing requirements, both visually and textually.
Summary:
This tool is designed for traders who want to visually frame high-probability reversal, equilibrium, and exhaustion zones adaptively—while keeping price action primary and avoiding visual or conceptual clutter. Use it to better understand where price may statistically find resistance/support or revert, not to automate signals or guarantee outcomes
RC: Optimist Wave 3.6.7Raikar Capital introduces : The Optimist WAVE indicator for TradingView is a dynamic tool designed to help traders analyze market cycles, trends, and price movements while providing clear BUY and SELL signals. Rooted in WAVE theory, this indicator visualizes the natural rhythm of the market, highlighting key areas of support, resistance, trend reversals, and momentum shifts. Integrated with TradingView's advanced charting platform, the Optimist WAVE indicator not only identifies potential entry and exit points but also generates real-time BUY and SELL signals to assist traders in making informed decisions. Whether you're a day trader seeking quick opportunities or a long-term investor tracking broader trends, this tool offers an intuitive approach to enhancing your trading strategy and boosting accuracy.
WJ STS Session SniperA precision-built indicator designed to support the STS (Session Trading System) framework taught by Jay and customized by Willy.
This tool acts as a decision engine, risk module, and session filter, helping you execute session-based scalps with strict discipline and clean rules.
The STS Companion does not replace TV Blast — it enhances it.
This indicator helps you follow the strategy exactly as intended:
• Only trade key session opens
• Only take trades where multi-timeframe momentum aligns
• Only take trades where volume delta confirms direction
• Only take trades when the session is producing a clean impulse
• Use swing-based stop-loss logic
• Automatically calculate the correct micro contract size
• Only take setups when all conditions match your trading plan
⸻
🎯 The Core Principles Behind the Indicator
The STS strategy is built around a simple philosophy:
“Trade only when the market is moving with force, and avoid 99% of chop.”
This companion implements that philosophy with:
⸻
🕒 High-Volume Session Targeting
The indicator highlights and focuses on the first minutes of major global opens:
• Shanghai / Asia Open
• Frankfurt Open
• London Open
• New York (08:20 futures open)
Each session has a defined “trade window” (default 20 minutes) where institutional liquidity and momentum typically enter the market.
This is where the STS edge lives.
⸻
📊 Multi-Timeframe Sentiment Engine (MTF Bias)
The indicator monitors up to four custom timeframes simultaneously and categorizes momentum as:
• Strong Buy
• Strong Sell
• Buy
• Sell
• Mixed
When ALL selected timeframes agree, bars are highlighted for instant direction clarity:
• Blue bars = all bullish
• White bars = all bearish
⸻
🔥 Volume Delta Engine (Aggression Detection)
Tracks real-time buying/selling pressure using:
• Delta EMA
• Volume filters
• High-volume expansion events
High-volume spikes aligned with trend are marked:
• White dot = bullish high-volume impulse
• Gold dot = bearish high-volume impulse
This identifies when large players are stepping in.
⸻
⚡ Breakout-Based Impulse Filter (“Pseudo Blast”)
Uses a breakout and momentum model to identify:
• The first expansion move after a session open
• Directional commitment
• Low-risk, high-RR scalping opportunities
This is the core trigger that aligns with STS-style entries.
⸻
🧮 Structural Stop-Loss + Position Sizing
The indicator automatically calculates:
• Nearest 1-minute swing high/low
• Stop distance in ticks
• Micro contract size based on your dollar risk input
This ensures high consistency and discipline, perfect for:
• TopStep
• Apex
• FundedNext
• Any account with a daily loss limit or tight risk rules
Setup signals only print when risk, stop, and volatility conditions are all safe.
⸻
🟢 When a Valid Setup Appears
The indicator will show:
• A triangle (long/short candidate)
• A label with:
• Stop-loss in ticks
• Recommended micro contract size
This means the system has aligned:
1. Session window
2. MTF bias
3. Volume delta
4. Breakout impulse
5. Proper stop
6. Safe position size
Only then does the STS Companion mark a bar.
⸻
📌 How to Use This Indicator
1. Wait for a major session open
Focus especially on Shanghai, Frankfurt, London, and NY.
2. Check the MTF bias
Blue = all bullish
White = all bearish
Avoid mixed conditions.
3. Confirm volume delta
Look for white/gold high-volume dots aligned with direction.
4. Wait for an impulse breakout
A triangle marks the potential STS entry bar.
5. Use the provided micro size
Position sizing is based on swing stop + your risk per trade.
6. Execute your plan
The indicator supports discipline — it does not override your rules.
⸻
⭐ Designed For
• Gold futures traders (XAUUSD / GC / MGC)
• Session scalpers
• Prop firm traders
• Momentum + breakout scalpers
• Anyone wanting mechanical, rule-based setups
⸻
🔒 Important
This indicator does not auto-trade.
It does not duplicate TV Blast.
It provides a clean, rules-based system to support the STS session methodology with precision and consistency.
Trinity ATR Strategy (Saty) - Backtest EditionThis is not supposed to be a standalone indicator, but releasing this to give a general overview of what it could do, each commodity and timeframe would need to be back tested. Use in conjunction with other indicators and price action. This is not financial advice and is not a guarantee of financial results.
VWAP + VWAP Distance Avg + Alert Lines (%)VWAP Distance & Average Distance Indicator – Detailed Description
The VWAP + VWAP Distance Avg + Alert Lines (%) indicator is designed to measure the distance of the current price from the VWAP (Volume Weighted Average Price), as well as the average distance over a specified period. This tool is particularly useful for traders who use the VWAP as a magnet for price, helping to identify potential trend changes and areas where price may revert toward the VWAP.
Key Features
Current Distance (%)
Calculates the absolute percentage difference between the current price and the VWAP
This line shows how far the price has moved away from the VWAP at any given moment.
Average Distance (%)
Calculates a simple moving average (SMA) of the distance over a specified lookback period.
This provides a reference for typical price deviations from the VWAP, helping traders assess whether the current distance is unusually high or low.
Alert Lines (%)
Allows up to three customizable horizontal alert lines, which can be turned on or off individually.
Each line can be configured with:
Value in percent.
Color.
Line thickness.
These lines serve as visual thresholds, helping traders detect extreme deviations from the VWAP that may precede trend reversals.
Use Case – Detecting Potential Trend Changes
Traders often treat the VWAP as a price magnet, where price tends to revert after significant deviations.
When the current distance exceeds typical average levels or crosses an alert line, it can signal that the price may revert toward the VWAP, potentially indicating a shift in trend or a high-probability mean-reversion scenario.
Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice, and trading decisions are always the sole responsibility of the individual trader. Users should carefully evaluate market conditions and their own risk tolerance before taking any trade.
Better used with VWAP on chart , and be careful around the end of session, for now this works just for session...
still improving on this....
Trinity Dynamic ATR Levels (Saty)This is an updated version of the SATY ATR levels ()
Trinity Dynamic ATR Levels
The core logic is 100 % identical: same higher-timeframe ATR calculation, same trigger at ~23.6 %, same Fibonacci and extension levels, same 8-21-34 EMA ribbon for the trend color in the table, and the table itself looks exactly like the original again (4 rows, clean layout, no extra target row). The visual and usability upgrades you now have that the original does not:
Lower Trigger line is now red instead of yellow, Upper Trigger line is now green instead of aqua/cyan to indicate to go long or short.
Every single level group has its own color input so you can customize everything (previous close, fib levels, 61.8 %, 100 % ATR, extensions, 200 %, 300 %, etc.) without touching the code. Every plotted level now has a clear text label on the right side of the chart (“Prev Close”, “Lower Trig”, “Upper Trig”, “-61.8 %”, “+100 %”, “-200 %”, etc.) so you instantly know what you’re looking at.
A new input called “Target Distance (×ATR)” lets you decide how far your profit target is (default 1.0 = +100 % ATR, but you can set 1.618, 2.0, 2.618, etc. instantly).
As soon as price closes above the Upper Trigger or below the Lower Trigger, a big, obvious target box automatically appears on the right side of the screen showing the exact dollar target price for the active long or short (green box for longs, red box for shorts). When there is no active trigger, the box disappears and the table stays perfectly clean.
In short, you now have the exact same beloved Saty ATR indicator everyone uses, but with red/green triggers, full color control, level labels, and a beautiful dynamic target box that only shows up when you actually have a trade on — all while keeping the original clean 4-row table untouched. It’s the cleanest and most professional version you’ll find anywhere. Enjoy! 🚀
Alpha VWAP Regime🔥 Alpha VWAP Regime — Institutional VWAP Strategy (Closed Source)
Alpha VWAP Regime is a multi-layered VWAP trading system that identifies the active market regime and adapts its signals based on institutional liquidity behavior.
This strategy is closed-source because it uses a proprietary combination of VWAP structures, anchored pivot logic, band deviations, and regime detection filters that are not publicly available.
🧠 How the Strategy Works (Conceptual Explanation)
This strategy does not rely on a single VWAP line.
Instead, it builds a VWAP matrix consisting of:
1) Session VWAP
Defines fair value for the current session.
Used to detect intraday directional bias.
2) Anchored VWAP (AVWAP)
Automatically anchored to swing highs and lows (pivot-based).
Tracks where large players accumulated or distributed positions.
3) VWAP Bands (±1σ and ±2σ)
Used as dynamic volatility envelopes:
±1σ = fair-value zone / no-trade area
±2σ = mean-reversion extremes
4) Market Regime Classification (ADX-based)
The strategy determines which environment the market is in:
Trending Regime: ADX above threshold
Ranging Regime: ADX below threshold
Breakout Regime: Volume-based breakout of AVWAP
Each regime activates a different entry model.
📌 Entry Logic (High-Level Overview)
Trend Mode
Triggered only when ADX confirms a trend.
Entries occur near VWAP or −1σ using price-action confirmation.
Mean Reversion Mode
Activated when the market is ranging.
Entries target the ±2σ deviation bands.
Breakout Mode
Triggered by price crossing AVWAP with above-average volume.
Used to catch institutional continuation moves.
ALL Mode
Combines the three models for a full adaptive system.
📉 Exits & Risk Management
All stops and targets use ATR-based volatility sizing
Trend trades aim for larger targets
Mean-reversion trades aim for smaller snapback moves
Breakouts use wider stops but high R:R
🔍 How to Use the Strategy
Load the script on a clean chart
Choose your preferred regime mode (Trend / MR / Breakout / ALL)
Optionally hide VWAP indicators and display signals only
Use realistic position sizing and commissions
Evaluate performance across multiple assets and timeframes
🔒 Why It Is Closed-Source
The code uses:
A custom anchoring engine
Multi-layered regime filters
Dynamic VWAP matrix
Prop logic for bias scoring
These components were built from scratch and form a unique decision model, so the source is protected.
🇸🇦 الشرح العربي لاستراتيجية Alpha VWAP Regime
Alpha VWAP Regime هي استراتيجية تداول مؤسسية متقدمة تعتمد على تحليل السيولة، وتحديد حالة السوق (Market Regime)، ودمج عدة طبقات من VWAP داخل نموذج واحد متكيف.
الهدف من الاستراتيجية هو التداول في المناطق التي يتواجد فيها المال الذكي، وتجنب التداول في المناطق العشوائية أو منخفضة الجودة.
________________________________________
🧠 كيف تعمل الاستراتيجية؟
الاستراتيجية لا تعتمد على VWAP واحد، بل تستخدم “مصفوفة VWAP” كاملة تتكوّن من:
1) VWAP اليومي (Session VWAP)
يُستخدم لتحديد القيمة العادلة خلال الجلسة، وتحديد الاتجاه اللحظي (Intraday Bias).
________________________________________
2) VWAP المثبّت (Anchored VWAP)
يتم تثبيته تلقائيًا على:
• القمم المهمة (Swing Highs)
• القيعان المهمة (Swing Lows)
ويساعد في تحديد مناطق تمركز المؤسسات، ومناطق الانعكاس أو الاختراقات الحقيقية.
________________________________________
3) نطاقات VWAP (±1σ و ±2σ)
تُستخدم كأغلفة ديناميكية للسيولة والتقلب:
• ±1σ = منطقة القيمة العادلة (Fair-Value Zone)
→ غالبًا منطقة غير مناسبة للتداول (No-Trade Zone)
• ±2σ = مناطق التشبّع الحركي (Extremes)
→ مناسبة لاستراتيجيات الانعكاس (Mean Reversion)
________________________________________
4) تصنيف حالة السوق Market Regimes
الاستراتيجية تستخدم مؤشر ADX لتحديد حالة السوق الحالية:
حالة السوق الوصف
Trending اتجاه واضح وقوي
Ranging تذبذب بدون اتجاه
Breakout اختراق مدعوم بحجم تداول
كل Regime يفعّل نموذج دخول مختلف داخل الاستراتيجية.
________________________________________
🎯 نماذج الدخول داخل الاستراتيجية
1) نموذج الاتجاه (Trend Mode)
يعمل فقط عندما يكون السوق في اتجاه حقيقي.
يعتمد على دخول Pullbacks قرب VWAP أو نطاق −1σ مع تأكيد شموعي.
________________________________________
2) نموذج الانعكاس (Mean Reversion Mode)
يعمل فقط عندما يكون السوق متذبذبًا (Range).
الدخول عند لمس ±2σ بهدف العودة نحو VWAP.
________________________________________
3) نموذج الاختراق (Breakout Mode)
يستخدم اختراقات Anchored VWAP
ولكن بشرط وجود حجم تداول أعلى من المتوسط (Volume Confirmation).
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4) وضع الدمج (ALL Mode)
يجمع بين النماذج الثلاثة ويجعل الاستراتيجية متكيفة تلقائيًا مع كل حالات السوق.
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📉 الخروج وإدارة المخاطر
تستخدم الاستراتيجية نظامًا ديناميكيًا لإدارة المخاطر:
• وقف الخسارة مبني على ATR
• الأهداف مبنية على طبيعة النموذج
• الصفقات الاتجاهية تستهدف R:R أعلى
• صفقات MR أقصر وأسرع
• صفقات Breakout أوسع ولكن مدعومة بزخم قوي
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🧩 كيفية استخدام الاستراتيجية
1. ضع الاستراتيجية على رسم بياني نظيف بدون مؤشرات إضافية
2. اختر نموذج الدخول المناسب من الإعدادات
3. فعّل أو أخفِ خطوط VWAP حسب الحاجة
4. استخدم إعدادات مخاطرة واقعية
5. اختبر الاستراتيجية على عدة أسواق وفريمات
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🔒 سبب إغلاق الكود
تم إغلاق الكود لأنها تعتمد على:
• محرك تثبيت AVWAP خاص
• نظام Regime Detection متقدم
• مصفوفة VWAP متعددة الطبقات
• منطق دخول/خروج خاص تم تطويره بالكامل
كل ذلك يتطلب حماية الملكية الفكرية، لذا تم نشرها Closed-Source.
Swing Wicks + Bodies; Stolen from LeviathanSwing Wicks + Bodies — Stolen from Leviathan
This indicator automatically detects swing highs and lows by separating wick swings from body swings, providing a precise view of liquidity zones on the chart.
It draws:
• wick-based swing levels
• body-based swing levels
• dynamic liquidity boxes showing unfilled price zones
• touch counters (T1, T2, T3…)
• optional HTF levels (H1/H4…) for multi-timeframe context
Included features:
• hide filled levels
• keep only the most recent unfilled levels
• full customization (colors, line styles, text size, minimum box height)
• optional “extend until filled” mode
• volume threshold filter
• lookback limitation (history in days)
VIX Spike/Drop TrackerWhat It Does
Core Functionality:
Monitors daily VIX percentage changes and identifies significant spikes (fear increases) and drops (fear decreases)
Backtests historical SPY performance following VIX events across multiple timeframes (1-day, 2-day, 3-day, and 1-week)
Calculates win rates and average returns for each scenario
Provides real-time VIX statistics including percentile rankings, distance from moving average, and momentum
Key Features:
Historical Analysis: Analyzes up to 2,500 bars of historical data to build robust statistical profiles
Dual Event Tracking: Separate statistics for VIX spikes (fear events) and VIX drops (fear subsiding)
Performance Metrics: Shows average SPY returns and win rates at 1, 2, 3, and 5-day intervals
VIX Context: Real-time VIX level, daily change, moving average distance, percentile rank, and 3-day momentum
Smart Predictions: Context-aware signals based on VIX patterns and consecutive spike/drop days
Visual Alerts: Chart annotations and background highlighting for significant events
How to Use It
Setup:
Add the indicator to your chart (works on any timeframe, but analyzes daily data)
Adjust the VIX threshold (default 10%) to define what constitutes a "significant" move
Set the historical lookback period (500 bars = ~2 years of data)
Reading the Statistics Table:
Left side: Statistics for VIX spikes (when fear increases)
Right side: Statistics for VIX drops (when fear decreases)
D1/D2/D3/Wk columns: Average SPY returns 1, 2, 3, and 5 days after the VIX event
Win %: Percentage of time SPY was positive at each interval
n: Sample size (number of historical events analyzed)
Bottom row: Current VIX statistics and market positioning
Interpreting Predictions:
🔴 "FEAR SPIKE - SPY LIKELY DOWN": VIX spiking, historical data shows negative SPY tendency
🟢 "FEAR SUBSIDING - SPY LIKELY UP": VIX dropping, historical data shows positive SPY tendency
🟠 "VIX ELEVATED - MEAN REVERSION DUE": VIX extended above its moving average
🟡 "VIX SUPPRESSED - COMPLACENCY RISK": VIX unusually low, potential volatility expansion ahead
Best Practices
Use this as a statistical context tool, not a standalone trading signal
Combine with your own technical analysis and risk management
Pay attention to win rates alongside average returns for edge assessment
Monitor consecutive spike/drop days for potential mean reversion setups
Higher sample sizes (n) provide more reliable statistics
Customization
Fully customizable colors, threshold levels, table size, and VIX moving average period. Enable/disable chart labels based on your preference for clean charts.
This indicator provides historical statistical context and does not guarantee future performance. Past results do not predict future outcomes.
Financial Stress Conditions Proxy | QuantLapse📘 Financial Stress Conditions Proxy | QuantLapse
Overview:
The Financial Stress Conditions Proxy (FSCP) by QuantLapse is a multi-factor quantitative indicator that measures systemic financial stress across key macro and liquidity benchmarks.
By blending the High-Yield Spread (BAMLH0A0HYM2), Volatility Index (VIX), Secured Overnight Financing Rate (SOFR), and Reverse Repo Operations (RRPONTSYD) into a unified z-score model, this tool visualizes the market’s underlying tension and relief cycles — conditions often associated with risk-off capitulation and market bottoms.
Each component is normalized via a z-score transformation to express how far current readings deviate from historical means, then averaged into a composite “Financial Stress Score.” The result is a dynamic, color-coded column plot that shifts hue as systemic risk compresses or expands.
Purpose
I built this model to track stress inflection points in the global financial system — particularly to identify moments when macro fear, liquidity withdrawal, and volatility compression converge.
These events often precede bottoming phases across risk assets such as equities and crypto.
The indicator serves as a quantitative proxy for the psychological extremes of the market:
Red tones (high stress): systemic strain, deleveraging, or panic phases — potential long-term opportunity zones.
Yellow-green transition: normalization, improving liquidity conditions.
Blue-teal range: stability and low-stress periods — often mid-cycle.
High Stress zones (Quantitative Tightening) -> Red and Orange
Neutral Zones -> Green and Yellow
Low Stress Zone (Quantitative Easing) --> Green to Blue
How It Works
Inputs & Data Sources
BAMLH0A0HYM2 → High-Yield Corporate Bond Spread (credit stress).
VIX → Implied volatility (equity market fear).
SOFR → Funding rate indicator (short-term liquidity).
RRPONTSYD → Reverse repo operations (systemic liquidity absorption).
Normalization Process
Each data stream is smoothed using a user-defined moving average and standard deviation window (default 150 periods).
A z-score is computed:
𝑍=𝑋−Mean/Standard Deviation
The four z-scores are averaged to produce a single composite stress score.
Color Encoding
The composite score is segmented into 16 calibrated stress bands (from +1.6 to −1.6).
Each band corresponds to a color — red at the top for maximum stress, shifting to bright greens and teals as stress subsides.
Colors are assigned dynamically to the plotted columns, creating an intuitive “heat bar” of systemic tension over time.
Interpretation
Rising, bright red columns: liquidity tightening, macro uncertainty, or panic — potential market bottom zones when fear peaks.
Fading yellow → green: stabilization, easing conditions, and early recovery.
Cool blue/teal tones: complacency or extended calm — often late-cycle risk.
Use the FSCP as a macro overlay, not a direct buy/sell trigger.
Its purpose is to provide environmental context — showing when the market is collectively stressed versus when liquidity and confidence return.
Trading Applications
Bottom Detection:
Historically, sustained red/orange conditions have coincided with market capitulation (macro or crypto bottoms).
Watch for color transitions from red → orange → yellow as potential recovery signals.
Risk Management:
Avoid leverage or high exposure when the score is rising rapidly into red zones.
Gradually scale exposure as colors normalize.
Macro Confirmation Tool:
Combine with RSI, breadth indicators, or on-chain data to confirm reversals.
Works well on daily or weekly timeframes for swing and position traders.
Customization
Adjustable lookback periods for mean and standard deviation (default 150).
Works on all markets (equities, crypto, forex) since it sources macroeconomic benchmarks directly.
Can be layered with volatility or liquidity indicators for confirmation.
Why I Built It (originality)
Markets bottom when fear meets exhaustion.
I wanted a tool that quantified that fear in real-time — not by price patterns, but by systemic stress itself.
By merging credit risk, volatility, funding rates, and central bank operations, this model provides a quantitative heartbeat of the financial system — and it visually shows when that heartbeat skips a beat.
In my own trading, I use FSCP to identify macro dislocations and liquidity events that typically precede large recoveries.
It’s not about prediction — it’s about positioning yourself when the system is stretched too far.
Best Practices
Use on higher-timeframe charts (D/W) for context.
Combine with your technical system for entries/exits.
Treat extreme stress as potential accumulation zones, not immediate buy signals.
Allow several sessions of color normalization before confirming reversals.
Disclaimer
This indicator is for educational and research purposes only.
It is not financial advice and does not guarantee future results. Always combine with your own analysis and risk controls before trading decisions.
Summary
The Financial Stress Conditions Proxy translates complex inter-market data into an easy-to-read, color-coded stress bar.
It visually captures the emotional and systemic pulse of global markets — helping traders recognize when panic is peaking and opportunity is quietly forming.
Use it as your quant compass for navigating bottoms in volatile markets.
ATR or % Based Trailing Stop for Delta Exchange (trade_crush)This indicator calculates and visually displays a dynamic trailing stop line on the chart based on either the Average True Range (ATR) or a fixed percentage of the current close price. Designed especially for futures or crypto traders using Delta Exchange, it helps determine where to place trailing stop loss orders to manage risk effectively.
DCA Bot v7 - Cryptosa Nostra 1.0Technical Overview: Adaptive RSI DCA Bot
This is a sophisticated DCA (Dollar Cost Averaging) indicator designed for accumulating assets and managing portfolio distribution. It does not trade on simple RSI crosses. Instead, it combines multi-zone RSI analysis with ATR-based volatility triggers to execute staggered, dynamically-sized trades.
Its core feature is a "learning" engine that adapts its own settings over time. This "brain" can be trained on historical data and then applied to your real-time portfolio holdings via a "Live Override" feature.
Core Logic: How It Works
A trade is only executed when two conditions are met simultaneously:
The RSI Condition: The RSI must be inside one of the four pre-defined zones.
The Price Condition: The price must cross a "trigger line" (the green or red line) that is dynamically calculated based on volatility.
1. The Four RSI Zones
This script uses four distinct zones to determine the intent to trade:
Deep Buy Zone (Default: RSI <= 35 & Downtrend): This is the primary "value" buy signal. It only activates if the RSI is deeply oversold and the price is below the 200-period Trend MA.
Reload Buy Zone (Default: RSI 40-50 & Uptrend): This is a "buy the dip" signal. It looks for minor pullbacks during an established uptrend (price above the 200-period Trend MA).
Profit-Taking Zone (Default: RSI 70-80): Triggers a standard, small sell when the market is overbought.
Euphoria Zone (Default: RSI >= 80): Triggers a larger, more aggressive sell during extreme "blow-off" tops.
2. Dynamic Trade Sizing
The amount to buy or sell is not fixed. It scales dynamically based on how high or low the RSI is:
Buy Sizing: Spends a higher percentage of available cash when RSI is at its lowest (e.g., 35) and a smaller percentage when it's at the top of the reload zone (e.g., 50).
Sell Sizing: Sells a smaller percentage of holdings when RSI just enters the overbought zone (e.g., 70) and a much larger percentage when it's in the euphoria zone (e.g., 80+).
3. The "Adaptive Brain" (ATR Multipliers)
This is the script's learning mechanism. The green/red trigger lines are calculated as: Last Trade Price +/- (ATR * Multiplier).
This "Multiplier" is the brain. It adapts based on trade performance.
After a successful trade (as defined by profit_target_multiplier), the bot gets more confident and reduces the multiplier. This places the next trigger line closer to the price, making it more aggressive.
After a losing trade (as defined by loss_limit_multiplier), the bot gets more cautious and increases the multiplier. This places the next trigger line further away, making it more patient.
How to Use This Indicator
This script is designed to be "trained" on historical data to provide relevant signals for today.
To Train the Brain: In the settings, go to "1. Backtest Settings". Set the "Start Date (For Learning)" to a date in the past (e.g., 6 months or 1 year ago). The script will run a simulation from that date, allowing its Adaptive Multipliers (the "brain") to adjust to the market's volatility.
To See Live Signals: In "2. Live Portfolio Override", check the box "Override Backtest Balance?" and enter your real current coin and USD holdings.
Result: The "Live Status" table (top-right) will now display signals from the trained brain but will calculate the "Potential Buy %" and "Potential Sell %" based on your real portfolio. The "Buy Multi" and "Sell Multi" fields show you the brain's current learned values.
Dashti XAU Liquidity Map ELITE"No Sweep = No Trade
No BOS = No Trade
No Killzone = No Trade
No Volume = No Trade"
Daily ATR vs Move (black & white) + PipsTop of Chart, Mid. Gives the user an idea of what trend is doing and how the current price compares to daily ATR.
Used on this example below to indicate we are within the bottom range for the day, and price has potential to move up without worry of exhaustion.
ATR Trend + RSI Pullback Strategy [Profit-Focused]This strategy is designed to catch high-probability pullbacks during strong trends using a combination of ATR-based volatility filters, RSI exhaustion levels, and a trend-following entry model.
Strategy Logic
Rather than relying on lagging crossovers, this model waits for RSI to dip into oversold zones (below 40) while price remains above a long-term EMA (default: 200). This setup captures pullbacks in strong uptrends, allowing traders to enter early in a move while controlling risk dynamically.
To avoid entries during low-volatility conditions or sideways price action, it applies a minimum ATR filter. The ATR also defines both the stop-loss and take-profit levels, allowing the model to adapt to changing market conditions.
Exit logic includes:
A take-profit at 3× the ATR distance
A stop-loss at 1.5× the ATR distance
An optional early exit if RSI crosses above 70, signaling overbought conditions
Technical Details
Trend Filter: 200 EMA – must be rising and price must be above it
Entry Signal: RSI dips below 40 during an uptrend
Volatility Filter: ATR must be above a user-defined minimum threshold
Stop-Loss: 1.5× ATR below entry price
Take-Profit: 3.0× ATR above entry price
Exit on Overbought: RSI > 70 (optional early exit)
Backtest Settings
Initial Capital: $10,000
Position Sizing: 5% of equity per trade
Slippage: 1 tick
Commission: 0.075% per trade
Trade Direction: Long only
Timeframes Tested: 15m, 1H, and 30m on trending assets like BTCUSD, NAS100, ETHUSD
This model is tuned for positive P&L across trending environments and volatile markets.
Educational Use Only
This strategy is for educational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always validate performance on multiple markets and timeframes before using it in live trading.
XAUUSD Recovery for FamilyXAUUSD Recovery for Family is a trend-tracking tool based on a stepped 109-period EMA.
It highlights market direction using automatic color changes and background shading.
How It Works
A modified 109-period EMA is used to detect trend bias
The line only updates in steps after a fixed number of bars (MA Step = 33)
Background color changes when trend direction shifts
Alerts notify the trader when price crosses above or below the trend line
What It Shows
🟢 Green chart background = bullish bias
🔴 Red chart background = bearish bias
📢 Alert signals are generated when the price crosses the stepped EMA
What It Does NOT Do
❌ It does not execute trades automatically
❌ It does not guarantee profit or accuracy
❌ It does not repaint signals
Important Notes
This is a trend visualization tool only
Always combine with proper risk management and confirmation tools
Past performance is not a guarantee of future results
This script is for educational and research purposes






















