SSL Hybrid + QQE MOD CombinedThis Script combines the SSL Hybrid and QQE Mod Oscillator to create BUY/SELL on Chart signals.
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Analiza oparta na falach
Swing ATR Mean BandsSwing ATR Mean Bands
Swing ATR Mean Bands
Swing ATR Mean Bands
Swing ATR Mean Bands
Swing ATR Mean Bands
Swing ATR Mean Bands
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Pure Volume [SkaleHub]Overview
Standard volume bars can be incredibly noisy and hard to read. This tool smooths out that data using a built-in moving average line, replacing individual bars with a single, flowing area chart.
The Edge
It filters out the chop to clearly show whether overall market participation is expanding or contracting, giving you a "pure" read on institutional interest and volume momentum.
Key Features:
Noise Reduction: Strips away chaotic, alternating volume bars and replaces them with a single, highly readable trendline of market participation.
Momentum Color-Coding: The indicator automatically shifts colors (Green for expanding, Red for contracting) so you can instantly gauge whether interest in the asset is growing or fading.
Trend Confirmation: Helps developing traders confirm if a price move has real financial backing or if it is just a low-volume fakeout.
How to Use
Apply the indicator to your chart (it will appear in a pane below the price action).
Look for the volume wave to turn Green (expanding) when price is breaking out or making a major move. This confirms institutional backing.
If price is moving rapidly but the Pure Volume wave is Red (contracting), treat the move with caution, as it lacks heavy market participation and may reverse.
Author's Note
This indicator is part of the SkaleHub Free Starter Library. It is designed to be paired with the SkaleHub Training System to help newer traders build mechanical discipline and systemize their trading process.
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Advanced Precision Bollinger BandsDynamic Basis Alert: The center line turns orange when the bands are in a historical "squeeze" (low volatility). This acts as a visual warning to stop blind mean-reversion trading, as an explosive move is building.
Volume Integration: Standard Bollinger Bands fail when price grinds against an outer line on weak volume, convincing traders a trend is starting when it isn't. The green/red triangle signals on this script only fire if the breakout candle is backed by heavy trading volume.
Intra-candle Stability: By anchoring calculations primarily to the close, it reduces dynamic repainting issues that throw off visual backtesting.
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Stable Cycle Core (Adaptive Ehlers Edition)## English
**Stable Cycle Core — Adaptive Ehlers Edition**
A next-generation cycle oscillator that doesn't rely on a fixed length. Most oscillators (RSI, MACD, Stoch) use a hard-coded period like 14 — which is arbitrary. This script instead **measures the market's actual dominant cycle period in real time** and adapts itself to it.
**Engine: Ehlers Autocorrelation Periodogram**
Based on John F. Ehlers' work in *Cycle Analytics for Traders*. The pipeline:
1. **High-Pass filter** removes long-term trend so only the cyclical component remains.
2. **SuperSmoother** cleans high-frequency noise without lag.
3. **Pearson autocorrelation** is calculated for periods 10–48.
4. A **Discrete Fourier Transform** of those correlations reveals which period carries the most power.
5. The **dominant cycle** is computed as a power-weighted center of gravity, then halved to drive an adaptive EMA + adaptive ATR.
The result: when the market breathes faster, the indicator shortens itself. When it slows, it lengthens. No more guessing the right "length" parameter.
**Visual layout (lower panel)**
- **Black line — Cycle:** Adaptive momentum, ATR-normalized.
- **Orange line — Signal:** Smoothed cycle. Dot crossovers = entry triggers.
- **Blue / Purple — Sine Wave & Lead Sine:** Phase-based true sinusoidal cycle. Their crossovers often **lead price tops/bottoms by a few bars** — this is the real "cycle leading edge" Ehlers describes.
- **Green / Red dots:** Buy/Sell triggers from cycle-signal crossover.
**On the price chart**
- **Chop Filter:** When buy/sell signals fire too frequently in a short window, the script locks an upper green ATR line and a lower red ATR line on the chart, plus a soft yellow background to mark the choppy zone. The first **band break = real direction** (green/red triangle).
- Outside chop conditions, no bands draw — chart stays clean.
**Divergence (lower panel)**
Pivot-based bullish (green) and bearish (red) divergences between price and the cycle oscillator, drawn automatically with line + label.
**Info Table (top right)**
- Mode (Adaptive / Manual)
- Detected Dominant Cycle
- Effective length being used
- Whether the market is currently in a chop zone
**Alerts**
Buy / Sell / Chop Break Up / Chop Break Down / Bullish Divergence / Bearish Divergence.
**How to read it**
- A **stable Dom. Cycle reading** (e.g., sitting around 22 for many bars) means the market is rhythmically rotating — trade the dots and Sine crosses.
- A **jumpy Dom. Cycle** (12 → 35 → 14) means no clean cycle exists — wait for an ATR band break.
- Use **Sine + Lead Sine crossovers as early warning** (they lead price), and the cycle dots as the **trigger**.
- Divergences = confirmation, not standalone entry.
Works on every market and timeframe — the adaptive engine handles the rest.
Not financial advice. Combine with proper risk management.
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## Türkçe
**Stable Cycle Core — Adaptif Ehlers Sürümü**
Sabit periyot kullanmayan yeni nesil bir döngü osilatörü. Klasik göstergeler (RSI, MACD, Stoch) sabit `14` gibi rastgele bir periyot kullanır. Bu script ise **piyasanın o anki gerçek dominant döngü periyodunu canlı olarak ölçer** ve kendini ona göre ayarlar.
**Motor: Ehlers Autocorrelation Periodogram**
John F. Ehlers'ın *Cycle Analytics for Traders* kitabındaki yönteme dayanır. İşlem zinciri:
1. **High-Pass filtre** uzun vadeli trendi temizler, sadece döngüsel kısım kalır.
2. **SuperSmoother** gecikme yaratmadan yüksek frekanslı gürültüyü siler.
3. **Pearson otokorelasyonu** 10–48 arasındaki her periyot için hesaplanır.
4. Bu korelasyonların **DFT (Discrete Fourier Transform)** dönüşümü, hangi periyodun en çok güç taşıdığını ortaya çıkarır.
5. **Dominant cycle**, güç-ağırlıklı bir ağırlık merkezi olarak bulunur ve yarısı adaptif EMA + adaptif ATR'ye beslenir.
Sonuç: piyasa hızlandığında gösterge kısalır, yavaşladığında uzar. "Doğru length kaç olmalı?" sorusu ortadan kalkar.
**Alt panel görseli**
- **Siyah çizgi — Cycle:** ATR ile normalize edilmiş adaptif momentum.
- **Turuncu çizgi — Signal:** Cycle'ın yumuşatılmış hâli. Kesişimler giriş tetikleyicisidir.
- **Mavi / Mor — Sine Wave ve Lead Sine:** Faz tabanlı gerçek sinüzoidal döngü. Kesişimleri çoğu zaman **fiyat tepe/diplerini birkaç bar önceden işaret eder** — Ehlers'ın bahsettiği "cycle leading edge" budur.
- **Yeşil / Kırmızı noktalar:** Cycle-Signal kesişiminden Buy/Sell tetikleri.
**Ana grafik üstünde**
- **Chop Filtresi:** Kısa bir pencerede çok sık buy/sell sinyali gelirse, fiyatın üstüne yeşil, altına kırmızı ATR çizgisi kilitlenir, arka plan hafif sarıya döner. **Hangi bant önce kırılırsa gerçek yön orasıdır** (yeşil/kırmızı üçgen ile işaretlenir).
- Karışıklık yokken hiçbir bant çizilmez, grafik temiz kalır.
**Divergence (alt panelde)**
Pivot tabanlı boğa (yeşil) ve ayı (kırmızı) uyumsuzlukları otomatik olarak çizgi + etiketle işaretlenir.
**Bilgi Tablosu (sağ üst)**
- Mod (Adaptif / Manuel)
- Tespit edilen Dominant Cycle
- Kullanılan etkili length
- Piyasa şu an chop bölgesinde mi
**Alarmlar**
Buy / Sell / Chop Break Up / Chop Break Down / Boğa Uyumsuzluğu / Ayı Uyumsuzluğu.
**Nasıl okunur**
- **Dom. Cycle değeri sabit kalıyorsa** (örn. uzun süre 22 civarında) piyasa ritmik dönüyor demektir — noktaları ve Sine kesişimlerini değerlendirebilirsin.
- **Dom. Cycle zıplıyorsa** (12 → 35 → 14) net bir döngü yok — ATR bant kırılımını beklemek mantıklı.
- **Sine + Lead Sine kesişimini erken uyarı** (fiyatı önceler), cycle noktalarını **tetikleyici** olarak kullan.
- Divergence = teyit aracı, tek başına giriş değil.
Her enstrümanda ve her zaman diliminde çalışır — adaptif motor gerisini halleder.
Bu paylaşım yatırım tavsiyesi değildir. Her zaman kendi risk yönetiminle birleştir.
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DIP TOP OSCILATOR Divergence## English
**Stable Cycle Core Chop Filter & Divergence**
A clean, lower-panel cycle oscillator built around a normalized momentum of EMA, smoothed by a short signal line. The goal is to read the market's rhythm without the noise of standard oscillators.
**How it works**
- **Cycle line (black):** EMA momentum normalized by ATR — adapts to volatility automatically, so readings stay comparable across timeframes and instruments.
- **Signal line (orange):** Smoothed cycle. Crossovers print **green dots (buy)** and **red dots (sell)** directly on the oscillator — WaveTrend-style, but cleaner.
- **Zero line:** Bias reference. Above zero = bullish momentum, below zero = bearish.
**Chop / Fake-Signal Filter (on the price chart)**
Choppy markets often produce buy → sell → buy in just a few bars. To avoid acting on those fakes, the script counts signals over a short window. If too many fire too quickly:
- The current bar is locked as a range, with a **green ATR line above** and a **red ATR line below** the price.
- The background turns light yellow to mark the chop zone.
- The first **break of either band is treated as the real direction**, marked by a green/red triangle.
- Outside chop conditions, no bands are drawn — the chart stays clean.
**Divergence (lower panel)**
Pivot-based divergence detection between price and the cycle oscillator:
- **Bullish:** price prints a lower low while the oscillator prints a higher low → green line + label.
- **Bearish:** price prints a higher high while the oscillator prints a lower high → red line + label.
**Alerts available**
Buy / Sell / Chop Break Up / Chop Break Down / Bullish Divergence / Bearish Divergence.
**Recommended use**
- Trade with the dots only when the market is trending (bands are not drawn).
- In sideways action, ignore the dots and **wait for an ATR band break** for direction.
- Use divergences as confirmation, not as standalone entries.
- Works on any market and any timeframe; ATR normalization handles the rest.
Not financial advice. Always combine with your own risk management.
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## Türkçe
**Stable Cycle Core — WaveStyle Clean + Chop Filtresi & Uyumsuzluk**
Sade bir alt panel döngü osilatörüdür. Çekirdeğinde EMA momentumunun ATR ile normalize edilmiş hâli vardır; üstüne kısa bir sinyal hattı eklenmiştir. Amaç, klasik osilatörlerin gürültüsü olmadan piyasanın ritmini okumaktır.
**Nasıl çalışır?**
- **Cycle (siyah çizgi):** ATR ile normalize edilmiş EMA momentumu. Volatiliteye otomatik uyum sağladığı için farklı zaman dilimi ve enstrümanlarda değerler karşılaştırılabilir kalır.
- **Signal (turuncu çizgi):** Cycle'ın yumuşatılmış hâli. Kesişimler doğrudan osilatör üzerinde **yeşil nokta (al)** ve **kırmızı nokta (sat)** olarak işlenir — WaveTrend mantığında ama daha temiz.
- **Sıfır çizgisi:** Yön referansı. Üstü pozitif momentum, altı negatif momentum.
**Chop / Sahte Sinyal Filtresi (ana grafik üzerinde)**
Sıkışık (testere) piyasalarda al-sat-al şeklinde art arda sinyaller gelir. Bu fakelere kapılmamak için script, kısa bir pencerede sinyal sayısını izler. Sinyaller çok sık gelirse:
- O ANDA fiyatın üstüne **yeşil ATR çizgisi**, altına **kırmızı ATR çizgisi** kilitlenir.
- Arka plan hafif sarıya döner — "burası karışık bölge" demektir.
- **Hangi bant önce kırılırsa gerçek yön orasıdır** ve yeşil/kırmızı üçgenle işaretlenir.
- Karışıklık yoksa hiçbir bant çizilmez, grafik temiz kalır.
**Divergence (alt panelde)**
Pivot bazlı uyumsuzluk tespiti, fiyat ile osilatör arasında:
- **Boğa uyumsuzluğu:** fiyat daha düşük dip yaparken osilatör daha yüksek dip yapar → yeşil çizgi + etiket.
- **Ayı uyumsuzluğu:** fiyat daha yüksek tepe yaparken osilatör daha düşük tepe yapar → kırmızı çizgi + etiket.
**Alarmlar**
Buy / Sell / Chop Break Up / Chop Break Down / Boğa Uyumsuzluğu / Ayı Uyumsuzluğu.
**Önerilen kullanım**
- Trend piyasada (bant çizilmediğinde) noktaları takip et.
- Yatay/sıkışık piyasada noktaları yoksay, **ATR bantlarından birinin kırılmasını bekle**, yön orasıdır.
- Uyumsuzlukları tek başına giriş değil, **teyit aracı** olarak kullan.
- Her enstrüman ve her zaman diliminde çalışır; ATR normalizasyonu adaptasyonu otomatik sağlar.
Bu paylaşım yatırım tavsiyesi değildir. Her zaman kendi risk yönetiminle birleştir.
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Volume Participation Curve [JOAT]Volume Participation Curve
Introduction
VPC Volume Participation Curve is an open-source volume seasonality indicator that compares current volume against historical participation for the same time bucket. It helps answer a simple but important question: is current activity meaningful compared with what usually happens at this time?
Instead of treating all volume bars equally, VPC builds recurring buckets by minute, hour, day, or month, then compares live volume against the expected bucket value. It also tracks session pace so traders can see whether the session is leading or lagging expected participation.
Core Concepts
1. Time-Bucketed Expected Volume
The indicator builds historical volume samples by time bucket. Auto mode chooses practical buckets based on the chart timeframe.
2. Median or Mean Summary
Expected volume can be calculated by median or mean. Median is the default because it is more robust against abnormal spikes.
3. Participation Ratio
The main curve is current smoothed volume divided by expected volume. A value above 1.0 means current activity is above expectation.
4. Session Pace
Session cumulative volume is compared with cumulative expected volume to determine whether the whole session is leading or lagging.
5. Regime Bands
Expansion and compression thresholds are shown as clean bands around the 1.0 baseline.
Features
Expected volume engine: Learns recurring volume behavior from historical buckets
Participation curve: Displays current volume relative to expected activity
Session pace curve: Shows whether cumulative session activity is ahead or behind
Expansion and compression bands: Identifies above-expected or below-expected participation
Dark-mode fills: Uses restrained green/red/neutral blends
Top-right dashboard: Shows bucket, participation, pace, surprise, growth, state, and sample count
Confirmed alerts: Includes expansion, compression, pace lead, and pace lag alerts
Input Parameters
Seasonality:
Historical Samples per Bucket
Bucket Mode: Auto, Minute, Hour, Day, or Month
Expected Value: Median or Mean
Curve:
Volume Smoothing
Session Pace Window
Visual:
Show Regime Bands
Show Pace Curve
Color Background
How to Use
Step 1: Read the participation curve relative to the 1.0 baseline.
Step 2: Treat readings above 1.2 as expansion context and readings below 0.8 as compression context.
Step 3: Confirm whether session pace agrees with the current bar's participation.
Step 4: Use the output as a participation filter for breakout, continuation, or reversal tools.
Limitations
New symbols or sparse histories may need time to build useful bucket samples
Unusual news or event-driven sessions can distort expected-volume comparisons
Volume reporting differs by asset class and exchange
This indicator does not predict direction; it measures participation context
Originality Statement
VPC is an original JOAT volume model combining time-bucketed expected volume, session pace, expansion/compression bands, and confirmed alerts in a Pine Script v6 pane indicator.
Disclaimer
This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management.
Made with passion by jackofalltrades
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Hap Elliot [Dual Engine & Projections]Hap Elliot
Are you tired of subjective wave counts?
Elliott Wave Theory (EWT) is one of the most powerful concepts in technical analysis, but mapping it manually is subjective, time-consuming, and prone to human error.
Meet the Hap Elliot indicator—your streamlined, highly effective "magic pill" for Elliott Wave Analysis. We have transformed the complex guidelines of EWT into a strict, easy-to-digest mathematical algorithm. Featuring a unique Dual Engine Pivot System and Nested Sub-Waves, this script doesn't just draw past waves—it projects future targets in real-time.
KEY FEATURES & HOW IT WORKS:
1. Dual Pivot Engine (Choose Your Style):
ATR Distance Mode (Fast): Perfect for day traders. Detects pivots early based on volatility (ATR). Aggressive, but can be noisy on sharp wicks.
Fractal Confirmed Mode (Reliable): Waits for candle closes and fractal formations. Slower, but mathematically filters out market noise. Ideal for swing trading.
2. Strict EWT Guideline Enforcement:
Unlike basic zigzag indicators, Hap Elliot enforces EWT rules before validating a wave:
Wave 3 cannot be the shortest wave.
Enforces the "Rule of Alternation" between Wave 2 and Wave 4 (if W2 is deep, W4 must be shallow, etc.).
3. Macro & Micro Waves (Nested Structure):
The indicator scans two different time horizons simultaneously. You will see the Macro Wave (Major Trend) and the Micro Wave (Sub-waves inside the main trend) seamlessly overlaid.
4. Automated Fibonacci Projections & Reversal Boxes:
When a 1-2 wave sequence is detected, the algorithm immediately projects:
Wave 3 Targets: 1.0, 1.618, 2.618, and up to 3.618 (Super Extension).
Wave 4 Pullback Zones: Shallow (0.236) to Deep (0.5).
Wave 5 Reversal Box: Automatically draws a highlighted "Correction/Reversal Box" when the 5-wave cycle completes.
5. Real-Time Status Dashboard:
A sleek UI panel at the bottom right shows the current status of both Macro and Micro trends (e.g., "Bullish Expected", "Waiting for Box", "Perfect 5-Waves Done").
⚠️ IMPORTANT NOTE ON REPAINTING:
By its very nature, Elliott Wave Theory is dynamic. A Wave 3 can always extend into a "Super Extension." Therefore, as live price action develops, the algorithm will dynamically update the wave anchors and target projections. This is not a bug; it is the correct mathematical behavior of EWT.
💡 HOW TO USE:
Watch for a "Valid" status on the dashboard indicating a 1-2 sequence.
Use the projected Wave 3 (1.618) as your primary trend target.
When price enters the Wave 5 Reversal Box, expect an (A)(B)(C) correction and consider taking profits.
If you find this tool helpful, please leave a BOOST and share your feedback in the comments!
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Zfx Lunar Phase Engine
Zfx — Lunar Phase Engine
This indicator maps the synodic lunar cycle directly onto your price chart using precise astronomical timing. The lunar wave is calculated from a verified new moon epoch and plotted as a smooth sine oscillator on the left scale, allowing you to overlay the natural 29.5-day moon cycle against any market on any timeframe — without cluttering your price action.
What it does:
- Computes real-time lunar phase (0 = New Moon → 0.5 = Full Moon → 1 = back to New Moon) using the synodic month constant (2,551,442 seconds)
- Plots the wave on the left scale directly over price — candles remain fully readable
- Marks all four lunar phases with vertical lines and emoji anchors: 🌑 New Moon (cyan), 🌓 First Quarter, 🌕 Full Moon (gold), 🌗 Third Quarter
- Projects the next 3 upcoming phase events forward in time as dashed future lines
- Displays a live data table: current illumination % and days until the next New/Full Moon
- Optional waxing/waning background shading
Why it matters:
Lunar cycles have been studied in relation to market sentiment, liquidity windows, and turning points across commodities, indices, and crypto. This tool makes it effortless to visually correlate price behaviour with the moon's phase without any manual calculation.
Settings:
- Toggle quarter moon markers on/off
- Toggle background shading on/off
- Toggle the data table on/off
- All alert conditions included for all 4 phase transitions
Built for clean, uncluttered overlay use on any symbol and any timeframe.
---
That framing is distinct enough — it emphasises the astronomical calculation, the overlay approach, the left-scale design, and the forward projection, which differentiates it from generic lunar scripts.
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AetherEdge Adaptive Fibonacci AI🖊️ Overview
AetherEdge Adaptive Fibonacci AI is a machine-learning-driven adaptive Fibonacci engine that completely transcends traditional static ratios. A KNN (K-Nearest Neighbors) algorithm extracts the most similar historical regimes from up to 2,000 prior bars and learns which golden ratios actually worked in those analogous conditions. It then probabilistically computes a breakout probability for each level — a revolutionary tool that visualizes "which Fib will hold" as a forward-looking forecast.
🔶 Key Features
Dynamic Swing Detection: ATR-based filtering of meaningful swings only
KNN Similarity Engine: 6-dimensional feature × cosine similarity matching
Adaptive Fibonacci: Learns ratios that worked in similar regimes
3 Modes: Standard (fixed) / Adaptive (learned) / Hybrid (fused)
Breakout Probability Forecast: % probability displayed per level
3-Tier Color Coding: High / Mid / Low breakout probability
Predicted Extension Lines: 1.272 / 1.618 / 2.0 projection rendering
Dynamic Line Width: Higher similarity = thicker emphasis
Stats Panel: Visualizes similarity, ratio adoption, and processing state
🧠 Technical Architecture
This indicator is a KNN-driven Fibonacci AI that "learns from the past."
Swing Detection: pivothigh / pivotlow at swingLen, filtered by minSwingATR × ATR to eliminate noise. Swing ID tracking minimizes recomputation.
6-Dimensional Feature Vector: ①Return (f_ret) ②Volatility ratio (f_volaRatio) ③Volume ratio (f_volRatio) ④EMA slope (f_slope) ⑤Range position (f_rangePos) ⑥Normalized RSI (f_rsi) — vectorizes current market state.
Cosine Similarity: Computes similarity between the current vector and each historical state vector, quantifying regime resemblance on a -1 to 1 scale.
KNN Search: Scans historyBars range with sampleStep intervals, extracts top-K (knnK) similar states. similarityMin threshold filters out low-quality matches.
Level Harvesting: Reverse-engineers reactive price levels from analogous regimes, matches them against candidateRatios (18 ratios from 0.146 to 2.618), and accumulates them into adaptiveRatios.
Weighted Voting: Each ratio is quality-scored via similarity-weighted voting.
Breakout Probability: Calculated from price behavior (break vs. respect) around each level over probLookback bars.
Hybrid Mode: Combines standard Fibs with adaptive Fibs to harness both worlds.
⚙️ Recommended Settings & Tuning Guide
Crypto Defaults:
BTC (4H): swingLen=10, knnK=8, historyBars=2000, similarityMin=0.55
ETH (1H): swingLen=8, knnK=10, historyBars=1500, similarityMin=0.50
SOL/XRP (15M): swingLen=6, knnK=12, historyBars=1200, similarityMin=0.45
Long-Term (1D): swingLen=15, knnK=6, historyBars=3000, similarityMin=0.60
Tuning Guide:
Precision: similarityMin=0.70, knnK=5 for ultra-selective matching
Maximum learning: historyBars=4000, sampleStep=2 to maximize data
Speed priority: sampleStep=5, featureLen=15 to reduce load
Trending markets: includeExt=true, showBeyond=true for projection emphasis
Range markets: adaptMode=Adaptive to prioritize learned ratios
Beginners: adaptMode=Hybrid offers the safest standard + AI dual view
💡 How to Use in Practice
High-Probability Bounce: colLowProb (green) levels are strong S/R — bounce entry candidates
Breakout Plays: colHighProb (red) levels signal high break expectation — follow-through trades
Adaptive Edge: Non-standard ratios (0.65, 0.707, etc.) appearing in Adaptive mode are regime-specific key levels
Extension Targets: Use 1.272 / 1.618 / 2.0 projections for take-profit
Multi-Timeframe: Higher TF adaptive Fibs + lower TF entry refinement
AetherEdge Synergy: When Neural OB Evolution elite OBs overlap an adaptive Fib → confluence powerhouse zone
⚠️ Important Notes
The first several hundred bars lack training data, so Adaptive mode may not function well early on
Increasing historyBars improves accuracy but raises computational load (trade-off)
Effectiveness drops during sudden regime shifts that have no historical analog
Levels are not drawn until swings confirm (swingLen bars later)
KNN processing executes on bar close — real-time reflection occurs on the next bar
Excessively large featureLen risks over-referencing outdated patterns
🚨 Disclaimer
This indicator is provided for educational and research purposes only and does not constitute financial advice. KNN similarity and probability forecasts are based on historical data and do not guarantee future performance. All trading decisions are made at your own risk and should be accompanied by proper risk management.
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Wskaźnik
Lunar Momentum Confluence (Moon Phases)Moon Phases Market Indicator 🌙📈
This indicator tracks the phases of the moon and compares them to market behavior to help traders spot potential bullish and bearish momentum shifts. It’s based on the idea that market psychology moves in cycles — just like the moon.
How It Works
New Moon 🌑
Often signals a market reset or fresh momentum. Traders commonly watch this phase for potential bullish reversals, trend beginnings, or accumulation zones.
Waxing Moon 🌒🌓🌔
As the moon grows brighter, market momentum can begin building. This phase is often associated with increasing strength, confidence, and bullish continuation.
Full Moon 🌕
The market tends to reach emotional extremes during full moons. This can lead to increased volatility, profit-taking, trend exhaustion, or bearish reversals.
Waning Moon 🌖🌗🌘
As the moon fades, momentum may weaken. Traders often associate this phase with slowing trends, pullbacks, consolidation, or bearish pressure.
Why Traders Use It
This indicator is not meant to predict the future like magic — it’s designed to help visualize market cycles, trader emotion, and momentum timing in a simple way. Many traders believe human psychology and market behavior naturally move in repeating patterns, and the lunar cycle can sometimes align surprisingly well with those shifts.
Bullish vs Bearish Interpretation
🌑 New Moon = Potential Bullish Energy
🌕 Full Moon = Potential Bearish or Reversal Energy
🌒 Waxing phases = Growing momentum
🌘 Waning phases = Weakening momentum
Simple Explanation
Think of the moon like a market mood tracker:
When the moon is growing → the market often gains energy.
When the moon is full → emotions peak and reversals can happen.
When the moon fades → momentum can slow down.
This gives traders another layer of confirmation alongside price action, volume, support/resistance, and trend analysis.
Best Used For
Swing Trading
Crypto Markets
Forex
Indexes
Market Cycle Analysis
Identifying possible reversal zones
⚠️ This indicator works best when combined with technical analysis and risk management — not as a standalone buy or sell signal.
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Lunar Momentum (Moon Phases)Moon Phases Market Indicator 🌙📈
This indicator tracks the phases of the moon and compares them to market behavior to help traders spot potential bullish and bearish momentum shifts. It’s based on the idea that market psychology moves in cycles — just like the moon.
How It Works
New Moon 🌑
Often signals a market reset or fresh momentum. Traders commonly watch this phase for potential bullish reversals, trend beginnings, or accumulation zones.
Waxing Moon 🌒🌓🌔
As the moon grows brighter, market momentum can begin building. This phase is often associated with increasing strength, confidence, and bullish continuation.
Full Moon 🌕
The market tends to reach emotional extremes during full moons. This can lead to increased volatility, profit-taking, trend exhaustion, or bearish reversals.
Waning Moon 🌖🌗🌘
As the moon fades, momentum may weaken. Traders often associate this phase with slowing trends, pullbacks, consolidation, or bearish pressure.
Why Traders Use It
This indicator is not meant to predict the future like magic — it’s designed to help visualize market cycles, trader emotion, and momentum timing in a simple way. Many traders believe human psychology and market behavior naturally move in repeating patterns, and the lunar cycle can sometimes align surprisingly well with those shifts.
Bullish vs Bearish Interpretation
🌑 New Moon = Potential Bullish Energy
🌕 Full Moon = Potential Bearish or Reversal Energy
🌒 Waxing phases = Growing momentum
🌘 Waning phases = Weakening momentum
Simple Explanation
Think of the moon like a market mood tracker:
When the moon is growing → the market often gains energy.
When the moon is full → emotions peak and reversals can happen.
When the moon fades → momentum can slow down.
This gives traders another layer of confirmation alongside price action, volume, support/resistance, and trend analysis.
Best Used For
Swing Trading
Crypto Markets
Forex
Indexes
Market Cycle Analysis
Identifying possible reversal zones
⚠️ This indicator works best when combined with technical analysis and risk management — not as a standalone buy or sell signal.
Wskaźnik
Custom Period PivotsFixed range pivots, all diff calculations of pivots available
Fixed range pivots, all diff calculations of pivots available
Fixed range pivots, all diff calculations of pivots available
Fixed range pivots, all diff calculations of pivots available
Fixed range pivots, all diff calculations of pivots available
Fixed range pivots, all diff calculations of pivots available
Wskaźnik
HTF ChoCh Wick ScalperThe SMC HTF ChoCh & Single-Wick Alignment is an institutional-grade trend-following indicator designed for TradingView. It blends advanced Smart Money Concepts (SMC) market structure tracking with precise candlestick anatomy filters. By analyzing structural shifts on a Higher Timeframe (HTF), the indicator filters out minor market noise and internal pullbacks on the lower timeframe (LTF), pinpointing high-probability entry candles that align perfectly with the macro order flow.
Objective (The Purpose)
The main objective of this indicator is to ensure traders only trade with the dominant institutional trend and completely avoid "trap" setups during corrections.
By hard-locking the market direction to the Higher Timeframe's ChoCh (Change of Character), the indicator eliminates counter-trend trading. It ensures that lower-timeframe single-wick reversal candles (like Hammers or Shooting Stars) are only highlighted when they represent institutional mitigation or the completion of a pullback in the direction of the macro trend.
How It Works
The indicator operates through a strict three-step filtering process:
1. Higher Timeframe (HTF) Pivot Tracking
The script continuously monitors a user-defined Higher Timeframe (e.g., 5-Minute structure while trading on a 1-Minute chart). It uses a dynamic Pivot mechanism (ta.pivothigh and ta.pivotlow) to identify major institutional swing highs and swing lows on the HTF.
2. HTF Change of Character (ChoCh) Detection
Bullish ChoCh: When the HTF candle body closes above the last confirmed HTF swing high, a Bullish ChoCh is triggered. The indicator locks into a Bullish state.
Bearish ChoCh: When the HTF candle body closes below the last confirmed HTF swing low, a Bearish ChoCh is triggered. The indicator locks into a Bearish state.
Note: Local structural breaks on the lower timeframe are completely ignored, treating them merely as temporary market corrections.
3. Candlestick Anatomy Filtering & Bar Coloring
Once the HTF trend state is locked, the indicator scans the current lower-timeframe candles for specific institutional footprints:
In a Bullish HTF State: The indicator looks only for candles with a bottom wick and absolutely no top wick (signaling strong buying pressure and liquidity sweeps). These bars are colored Green.
In a Bearish HTF State: The indicator looks only for candles with a top wick and absolutely no bottom wick (signaling heavy selling pressure and supply mitigation). These bars are colored Red.
Any candle that does not meet these strict rules or moves against the HTF ChoCh remains its default chart color.
Wskaźnik
Elaris FVG Inversion ProElaris FVG Inversion Pro
Advanced Fair Value Gap & Inversion Mapping System
Elaris FVG Inversion Pro is a professional-grade market structure and imbalance visualization tool designed to help traders identify fair value gaps (FVGs), inversion fair value gaps (IFVGs), and potential reaction zones directly on the chart.
The indicator focuses on price inefficiencies created by aggressive directional movement and highlights areas where price may revisit, react, continue, or reverse.
Instead of displaying excessive noise, the system uses smart filtering logic, mitigation tracking, and optional trend confirmation to provide a cleaner and more structured view of market imbalance behavior.
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Core Features
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• Bullish & Bearish Fair Value Gap Detection
Automatically identifies three-candle imbalance structures in real time.
• Inversion Fair Value Gaps (IFVG)
Detects when previously established imbalance zones transition into potential reversal zones after invalidation.
• Non-Repainting Confirmed Detection
Signals and zones can be confirmed only after candle close to maintain stable historical plotting.
• Smart Gap Filtering
Optional ATR, volume, and EMA trend filters help reduce low-quality or insignificant zones.
• Dynamic Zone Management
Zones automatically extend forward and can be configured to expire or hide after mitigation.
• Mitigation Tracking
Supports multiple mitigation models including:
* Proximal
* Midpoint (50%)
* Distal
• Quality Scoring System
Each zone is evaluated using volatility and structure-based conditions to help prioritize stronger imbalances.
• Dark & Light Mode Compatible
Designed for clean visibility across different TradingView chart themes.
• Professional Dashboard
Displays active bullish, bearish, and inversion zones along with trend-state information.
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How It Works
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Bullish FVG:
Forms when price leaves an upside imbalance between candles, potentially creating a future demand area.
Bearish FVG:
Forms when price leaves a downside imbalance, potentially acting as future supply.
IFVG:
Occurs when price invalidates an existing FVG and the zone transitions into a potential reversal area.
The indicator can be used for:
* Trend continuation setups
* Pullback entries
* Liquidity-based reactions
* Market structure analysis
* Confluence with support/resistance or liquidity concepts
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Best Practices
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Higher timeframe FVGs generally produce stronger reactions than lower timeframe gaps.
Using the optional EMA and volume filters may help improve signal quality during volatile or choppy market conditions.
For confirmation-based trading approaches, combine FVG reactions with structure breaks, momentum shifts, or liquidity sweeps.
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Notes
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This indicator is intended for technical analysis and educational purposes.
No indicator guarantees future performance, and traders should always apply proper risk management and independent confirmation before making trading decisions.
Wskaźnik
Candlestick FootprintsThis layer builds the structural backbone of the indicator using confirmed market pivots.
Code behavior:
ta.pivothigh() detects swing highs
ta.pivotlow() detects swing lows
Both require confirmation (pivotLen delay), so they are non-repainting but lagging
Memory system:
The variables:
p1, p2, p3, p4
store the last four pivot points in sequence.
Each new pivot shifts the structure forward:
p1 → p2 → p3 → p4
Purpose:
This creates a market structural memory, allowing the system to analyze movement sequences instead of single candles.
2. CORE PROJECTION LAYER
This layer generates a directional projection based on the last impulse.
Core logic:
move = p4 - p3
proj = p4 + move
Interpretation:
The system assumes that:
the last impulse leg may repeat in magnitude
So it projects a mirrored movement forward from the last pivot.
Nature of this model:
This is a mirror impulse projection model, not a predictive statistical model.
It assumes structural repetition in price behavior.
3. CLUSTERING LAYER (CORE INTELLIGENCE)
This is the most important layer of the system.
It groups similar projected levels into liquidity zones.
Data structures:
bullMid / bullCnt → bullish clusters
bearMid / bearCnt → bearish clusters
Clustering logic:
If a new projection is close to an existing one:
abs(proj - old) < ATR * tolerance
Then:
the cluster count increases
the zone center is recalculated (averaged)
the liquidity zone becomes stronger
Outcome:
Repeated projections create:
liquidity magnet zones (price attraction areas)
4. VISUALIZATION LAYER
This layer is purely graphical.
Tools used:
box.new() for zones
label.new() for cluster information
Bull zones:
Aqua = weak bullish flow
Lime = strong bullish accumulation
Bear zones:
Red = bearish pressure zones
Important:
This layer does NOT generate trading signals.
It only visualizes clustered market structure.
5. DIRECTION LOGIC LAYER
Direction is determined by projection comparison:
isBull = proj > p4
isBear = proj < p4
Meaning:
If projection is above last pivot → bullish structure
If below → bearish structure
This is a structural direction classifier, not a momentum oscillator.
6. SYSTEM PHILOSOPHY
This indicator is not based on traditional technical indicators.
It does NOT use:
Moving averages
RSI
MACD
Instead, it focuses on:
structural repetition
pivot-based memory
clustering of projected price levels
Core idea:
Markets tend to revisit structurally repeated zones rather than random levels.
7. FINAL SYSTEM OUTPUT
The system produces:
Liquidity zones
Cluster strength (count-based)
Directional bias (bull/bear)
Visual heatmap of price memory
Final interpretation:
This is a structural probability map of where price tends to accumulate and react.
🇹🇷 TÜRKÇE AÇIKLAMA (TAM KATMANLI)
1. PIVOT YAPISI KATMANI
Bu katman sistemin iskeletini oluşturur ve piyasa pivotlarını kullanır.
Çalışma mantığı:
ta.pivothigh() swing high noktalarını bulur
ta.pivotlow() swing low noktalarını bulur
Pivotlar onaylıdır, bu yüzden gecikmelidir ama repaint yapmaz
Hafıza sistemi:
p1, p2, p3, p4
son 4 pivotu saklar.
Her yeni pivot geldiğinde yapı kayar:
p1 → p2 → p3 → p4
Amaç:
Bu yapı, tek mum değil:
piyasanın hareket dizisini analiz eden bir hafıza sistemi oluşturur
2. PROJEKSİYON KATMANI
Bu katman son hareketi baz alarak ileri projeksiyon üretir.
Temel hesap:
move = p4 - p3
proj = p4 + move
Mantık:
Sistem şunu varsayar:
son impuls hareket tekrar edebilir
Bu yüzden aynı hareketi ileri taşır.
Model tipi:
Bu bir:
ayna hareket projeksiyon modelidir
3. CLUSTER (KÜMELEME) KATMANI
Sistemin en önemli kısmıdır.
Benzer projeksiyonları aynı bölgede toplar.
Veri yapıları:
bullMid / bullCnt → bullish bölgeler
bearMid / bearCnt → bearish bölgeler
Çalışma mantığı:
Eğer yeni proje eski bölgeye yakınsa:
abs(proj - old) < ATR toleransı
Şunlar olur:
cluster sayısı artar
merkez yeniden hesaplanır
bölge güçlenir
Sonuç:
Tekrarlanan fiyat bölgeleri:
likidite mıknatıs alanları oluşturur
4. GÖRSELLEŞTİRME KATMANI
Bu katman sadece görsel sunum yapar.
Araçlar:
box.new() → zone çizimi
label.new() → bilgi etiketi
Bull bölgeler:
Aqua = zayıf bullish akış
Lime = güçlü bullish birikim
Bear bölgeler:
Red = satış baskısı
Önemli:
Bu katman sinyal üretmez.
Sadece yapıyı görselleştirir.
5. YÖN MANTIĞI KATMANI
Yön projeksiyona göre belirlenir:
isBull = proj > p4
isBear = proj < p4
Anlamı:
yukarı projeksiyon → bullish yapı
aşağı projeksiyon → bearish yapı
Bu bir momentum değil:
yapısal yön sınıflandırmasıdır
6. SİSTEM FELSEFESİ
Bu indicator klasik teknik analiz değildir.
Şunları kullanmaz:
MA (hareketli ortalama)
RSI
MACD
Bunun yerine:
piyasa tekrarları
pivot hafızası
cluster davranışı
kullanır.
Temel fikir:
Piyasa rastgele değil:
belirli yapısal bölgeleri tekrar ziyaret eder
7. SONUÇ
Sistem şunları üretir:
likidite bölgeleri
cluster gücü
yön biası (bull/bear)
fiyatın hafıza haritası
Final yorum:
Bu sistem fiyatın nerede reaksiyon verme ihtimalinin yüksek olduğunu gösteren yapısal bir olasılık haritasıdır.
Wskaźnik
Online Logistic Forecaster [forexobroker]Online Logistic Forecaster trains a single-feature logistic regression in real time via stochastic gradient descent. The feature is the standardised price-EMA distance; the target is "next bar closes higher". Each bar updates weight w := w - eta * (sigmoid(w * x) - y) * x. Forecast probability of next-bar up = sigmoid(w * x). Adaptive learning without batch training.
🔶 ALGORITHM
1. EMA = ema(close, len); ATR = atr(14).
2. Feature x = (close - EMA) / ATR (ATR-normalised distance).
3. Online SGD step: y_prev = (close > close ); w := w - eta * (sigmoid(w * x ) - y_prev) * x .
4. Forecast: p_up = sigmoid(w * x).
5. Bull bias when p_up >= upper threshold; bear bias when <= lower threshold.
🔶 SIGNAL LOGIC
- Buy: bull bias edge (cross above upper threshold) AND not already long AND cooldown elapsed AND barstate.isconfirmed.
- Sell: bear bias edge.
- Position-lock state machine.
🔶 INPUTS
- Feature EMA Length (default 20)
- Learning Rate eta (default 0.05)
- Buy Probability (default 0.60)
- Sell Probability (default 0.40)
- Cooldown Bars (default 4)
- Visual: dashboard, glow, sigmoid line, buy / sell colors
🔶 ALERTS
OLF Buy, OLF Sell, OLF Any Signal, OLF Bull Edge, OLF Bear Edge, OLF High Conf Up, OLF High Conf Dn, OLF Strong Weight, OLF Webhook JSON.
🔶 LIMITATIONS
- One feature gives a 1D logistic forecast; multi-feature models would be more powerful but require explicit weight management.
- SGD with high eta can oscillate; defaults (eta = 0.05) balance convergence vs adaptation.
- The model needs warm-up of dozens of bars before w stabilises; early bars produce noisy forecasts.
- The "sigmoid line" visual is anchored at the EMA and scaled by ATR — purely informational.
Wskaźnik
Raid & Reverse Liquidity Engine# Raid & Reverse Liquidity Engine
A clean and advanced Smart Money Concepts (SMC) indicator built for traders who focus on liquidity sweeps, stop hunts, Fair Value Gaps (FVG), and market structure shifts.
This indicator automatically detects Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL), identifies liquidity raids using wick-based sweeps, confirms reversals with Market Structure Shift (MSS), and highlights high-probability Fair Value Gap entry zones.
Unlike noisy SMC indicators, this script keeps the chart clean and focuses only on important institutional concepts.
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FEATURES
✔ Buy-Side & Sell-Side Liquidity Detection
✔ Liquidity Sweep / Stop Hunt Identification
✔ Wick-Based Raid Confirmation
✔ Market Structure Shift (MSS) Detection
✔ Automatic Fair Value Gap (FVG) Zones
✔ Smart Entry Signals
✔ Dynamic Stop Loss & Take Profit Levels
✔ Risk-to-Reward (RR) Calculation
✔ Clean Minimal Chart Design
✔ Real-Time Trading Alerts
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HOW IT WORKS
1. Detects liquidity resting above highs or below lows
2. Waits for price to sweep liquidity with a wick
3. Confirms reversal using Market Structure Shift
4. Marks Fair Value Gap for precision entry
5. Sets stop loss above/below sweep
6. Targets opposing liquidity pool
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BEST USED FOR
• Scalping
• Intraday Trading
• Smart Money Concepts (SMC)
• ICT Style Trading
• Liquidity Trading Strategies
• Futures & Forex
• Crypto Trading
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TIMEFRAMES
Works best on:
• 1M
• 3M
• 5M
• 15M
Use higher timeframe bias for stronger confirmations.
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DISCLAIMER
This indicator is for educational purposes only and does not guarantee profits. Always use proper risk management before taking any trade.
Wskaźnik
Bookmap Traps - LiteOverview
The Bookmap Traps (Lite) indicator is a highly advanced, machine-learning enhanced volume visualization tool designed to uncover hidden liquidity traps within candlestick wicks. Moving beyond traditional volume indicators, this script employs a synthetic lower-timeframe footprint engine to analyze the microstructure of price action, locating exactly where buyers or sellers have been caught offside. By plotting dynamic, volume-weighted bubbles directly on the chart, it allows traders to visualize trapped liquidity in real-time. This provides an x-ray view into order flow exhaustion and high-probability reversal zones, completely bypassing the need for expensive footprint data feeds.
Core Calculations & Logic
The indicator's engine relies on a granular breakdown of price delivery, utilizing multi-timeframe arrays, synthetic Volume Price Trend (VPT), and rigorous wick analysis to identify trapped volume:
Synthetic Footprint Generation: Instead of relying on premium data, the script uses `request.security_lower_tf` to fetch 1-minute (or user-defined lower timeframe) OHLCV data. It calculates a Volume Price Trend (VPT) ratio to accurately model the volume distribution within the parent candle, allowing for high-fidelity order flow analysis on the main chart.
Direct Wick Volume Measurement: The core logic isolates the parent candle's upper and lower wicks, identifying them as potential trap zones if they meet a minimum percentage of the total bar range. It then iterates through the lower timeframe data, mapping exactly how much relative volume was executed within those specific wick extremities.
Strict "Deep Wick" Filtering: To ensure only the most significant rejections are highlighted, the script features a "Deep Wick Only" mode. This forces the engine to disregard volume that occurred near the body of the candle, specifically tracking volume trapped in the outermost half of the wick where participants are most vulnerable.
Dynamic Outlier Auto-Scaling: The visualization engine constantly adapts to the current market environment. It calculates rolling volume percentiles to auto-scale the size or transparency of the trap bubbles, ensuring that massive volume anomalies stand out sharply while filtering out insignificant background noise.
The Machine Learning (kNN) Enhancement Engine
The standout feature of Bookmap Traps (Lite) is its built-in predictive k-Nearest Neighbors (kNN) algorithm, which actively scores the quality of detected traps based on historical success:
Feature Extraction & Normalization: Every time a trap forms, the script extracts key structural features—such as body-to-ATR ratios, upper/lower wick proportions, body positioning, and trapped volume metrics—and normalizes them for the ML model.
Pattern Recognition & Scoring: The kNN engine searches a rolling training window (e.g., the last 300 bars) to find the 'K' most structurally identical historical traps. It then analyzes the subsequent price action of those historical matches to determine a success rate.
Intelligent Volume Weighting: If historical data proves that a specific trap pattern consistently fails, the ML score suppresses its visual presence. Conversely, if a pattern is highly reliable, the ML score acts as a multiplier, boosting the trap's volume and amplifying its visual footprint on the chart.
How to Use in Practice
Identifying Exhaustion & Reversals: Watch for large teal (trapped buyers) bubbles forming in the upper wicks at resistance, or large red (trapped sellers) bubbles in the lower wicks at support. A massive bubble indicates high participation on the wrong side of the market, signaling an impending, aggressive mean reversion.
Interpreting Tooltips & ML Scores: By hovering over a bubble, traders can view the exact trapped volume and the ML confidence score. Prioritize trades where a high volume trap is backed by a high ML success percentage, filtering out statistically weak setups.
Customizing Visuals for Clarity: Utilize the "Size Scaling" or "Transparency Scaling" modes to fit your aesthetic preference. For cleaner charts, increase the "Show Top % of Traps" filter to only display the absolute most extreme liquidations (e.g., the top 15%), keeping the interface pristine.
Recommended Timeframes: Due to the granular nature of the synthetic lower-timeframe calculations, it is highly recommended to use this indicator on the 15-minute timeframe or higher. This allows the script to aggregate enough lower timeframe data (e.g., 1m candles) within the parent bar to somewhat effectively model the internal volume distribution.
Note: This script is an analytical tool intended to visualize market structure and trapped liquidity mechanics. It does not provide standalone buy/sell trading signals.
Wskaźnik
Impulse Correction Balance Map [AGPro Series]Impulse Correction Balance Map
🧠 Core Idea
Is the current correction still healthy compared with the prior impulse, or is the impulse losing structural balance?
📌 Overview / What it does
Impulse Correction Balance Map is a rule-based impulse and correction visualization tool designed to compare the current pullback with the prior directional swing leg.
The script identifies a valid bullish or bearish impulse, measures correction depth, maps the healthy-to-balanced correction pocket, and highlights whether price is still respecting the impulse structure or moving into failure risk.
It does not predict price direction, automate trades, or guarantee continuation after a pullback. It is a structured market-structure and wave-analysis tool for reading impulse strength, correction depth, balance, continuation, and failure context.
🎯 Purpose & Design Philosophy
Many pullback tools mark a retracement or draw generic Fibonacci levels.
This script was built to answer a more practical question:
Is the correction proportionate to the impulse that created it?
The design goal is to help traders evaluate pullbacks as part of a complete impulse-correction relationship instead of treating every retracement as equal.
⚡ Why This Script Is Different
Most tools focus on static retracement levels, generic trend strength, or simple pullback labels.
This script does NOT mark every pullback as a clean opportunity.
Instead, it builds the impulse leg first, measures the correction against that leg, separates healthy correction, balanced pullback, deep correction, continuation, and failure risk, then displays the story through premium chart visuals and a compact AG Pro panel.
⚙️ Methodology
1. Swing Detection
The script uses confirmed swing pivots to identify meaningful bullish or bearish impulse legs.
2. Impulse Validation
An impulse must meet a minimum ATR-normalized size before it becomes the active reference leg.
3. Correction Mapping
After the impulse forms, the script tracks the deepest correction point and calculates retracement depth as a percentage of the impulse.
4. Balance Evaluation
Correction depth is classified into healthy, balanced, deep, continuation, or failure states.
5. Visual Output
The chart displays the impulse box, correction pocket, depth ladder, centered pocket label, right-side tags, event labels, alerts, and a compact AG Pro decision panel.
🗺️ How to Read the Chart
Impulse Box = the prior validated directional swing leg.
Correction Pocket = the projected healthy-to-balanced retracement area.
Depth Ladder = reference rails for shallow, balanced, and deep correction zones.
Centered Pocket Label = the main visual anchor for the active balance pocket and quality score.
Right-Side Tags = current correction depth, balance state, and continuation reference.
Event Labels = key moments such as healthy correction, deep correction, continuation, or correction failure.
Panel = summarizes balance state, impulse direction, correction depth, impulse size, quality score, next context, and timeframe.
🚦 Signals & States
• HEALTHY CORRECTION → correction depth remains shallow relative to the impulse.
• BALANCED PULLBACK → correction is deeper but still inside the normal balance area.
• DEEP CORRECTION → correction is pressing into a riskier retracement zone.
• HIGH FAILURE RISK → correction is beyond the preferred balance area.
• CONTINUATION → price extends beyond the impulse end in the impulse direction.
• CORRECTION FAIL → price invalidates the impulse start area.
• WAIT IMPULSE → no valid impulse reference is active yet.
🔔 Alerts Logic
Alerts trigger when a major impulse-correction state appears.
• Healthy Correction → correction remains inside the healthy retracement area.
• Deep Correction Risk → correction depth moves into the deep-correction risk area.
• Continuation Trigger → price breaks beyond the impulse end in the impulse direction.
• Correction Failure → correction invalidates the impulse start area.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• The impulse leg is large enough relative to ATR
• Correction depth remains proportionate
• Price respects the balance pocket
• Continuation appears after a controlled correction
• The panel state agrees with the event label
• Broader trend structure supports the impulse direction
If these elements do not align, the script avoids forcing a continuation interpretation.
📊 When to Use
• Trend continuation analysis
• Pullback evaluation
• Swing structure review
• Crypto, forex, stocks, and index markets
• Wave-style impulse and correction studies
• 1H, 4H, and daily charts
• Markets with clear directional legs and retracement behavior
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely choppy markets with no clear swing structure
• News-driven candles where pivots may be distorted
• Ultra-low timeframes with excessive noise
• Markets where every pullback is immediately invalidated by volatility
• Situations where a single retracement should not be treated as a standalone decision
🎛️ Key Inputs
• Swing Pivot Length → controls how swing highs and lows are confirmed.
• Minimum Impulse ATR → defines how large the impulse must be before it becomes active.
• ATR Length → normalizes impulse size, label spacing, and correction context.
• Healthy Correction Max % → defines the upper boundary of the shallow correction zone.
• Balance Correction Max % → defines the upper boundary of the balanced correction zone.
• Deep Correction Max % → defines the deep-correction risk boundary.
• Projection Bars → controls how far correction pockets, rails, and tags project.
• Label Font Size → controls chart label and tag text size.
• Panel Font Size → controls panel text size.
🖥️ Interface & Visual Design
The visual hierarchy is built around the impulse-correction relationship.
The impulse box shows the directional leg.
The correction pocket shows where a controlled retracement can remain balanced.
The depth ladder shows where the correction becomes shallow, balanced, deep, or risky.
The centered badge makes the pocket readable at first glance.
The AG Pro panel summarizes the current state without forcing the user to inspect every level manually.
🧪 Practical Usage Workflow
1. Wait for a valid impulse leg to appear.
2. Check the correction pocket and depth ladder.
3. Read the current balance state in the panel.
4. Watch whether the correction stays healthy, becomes deep, or fails.
5. Look for continuation only after the correction context remains controlled.
6. Interpret the result inside broader trend, liquidity, and volatility context.
🔍 Interpretation Guidelines
A healthy correction does not guarantee continuation. It means the retracement is still proportionate to the prior impulse.
A deep correction does not guarantee reversal. It means the pullback is approaching an area where the original impulse is less structurally clean.
A continuation trigger does not guarantee follow-through. It means price extended beyond the impulse end according to the script's rule set.
A correction failure is a structural warning, not a trading command.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It is not a standard Fibonacci retracement tool.
It is not a full Elliott Wave counter.
⚠️ Limitations & Transparency
Swing detection depends on pivot confirmation, so signals can appear after pivots are confirmed.
Timeframe differences can change impulse and correction structure.
High volatility may cause correction depth to expand quickly.
Low-liquidity markets may produce unreliable swing pivots.
The script is designed for structured interpretation, not certainty.
🧠 Market Context Notes
Impulse-correction behavior is strongest when the market has a clear directional leg, a readable retracement, and enough liquidity for swing structure to matter.
The same correction depth can mean different things in a strong trend, a range, or a volatility shock.
The script should be read together with broader structure, volume, volatility, and market regime.
🧾 Use Case Examples
• If a bullish impulse forms and the correction remains shallow, the map may show healthy correction context.
• If a bearish impulse forms and price retraces deeply against it, the map may show deep correction or failure risk.
• If price breaks beyond the impulse end after a controlled correction, the map may show continuation.
🧱 System Philosophy
Impulse Correction Balance Map is part of the AGPro Series approach to decision-support tools:
clear structure, premium chart readability, honest interpretation, and no promise of certainty.
The goal is to help traders understand the relationship between impulse strength and correction depth without turning analysis into signal spam.
🔐 Non-Promise Statement
No script can know the future.
No correction depth guarantees continuation or reversal.
No signal should be interpreted without broader market context.
📉 Risk Disclosure
Trading involves risk.
Markets can move unpredictably.
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own decisions.
📚 Educational Note
Use this script to study how impulses and corrections relate to each other.
The value is not only in the label. The value is in learning whether a pullback is proportionate, stretched, balanced, or structurally weak compared with the impulse that came before it.
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Torsion Range [JOAT]Torsion Range
Introduction
Torsion Range is an open-source compression, expansion, and wave-energy panel designed to track whether the market is coiling, releasing, trending, or exhausting. The script combines wave direction, weighted energy accumulation, compression scoring, and exhaustion logic into one regime-aware panel.
The problem Torsion Range solves is fragmentation between wave tools and volatility tools. Traditional wave studies often ignore whether the market is compressing or expanding, while compression indicators often ignore directional wave state. Torsion Range merges both worlds so the user can monitor directional energy and structural volatility state together.
Core Concepts
1. Wave Direction Engine
The script supports multiple methods for determining directional wave state, including impulse, pressure, and hybrid behavior. This allows the model to adapt to different styles of price movement.
2. Weighted Energy Accumulation
Wave state is not just directional. It is weighted by body, range, ATR context, and optional relative volume to produce a more informative torsion core.
3. Compression Index
A 0-100 compression framework is built from fast and slow comparisons of range, body, and energy behavior. This allows the indicator to identify tight conditions before release.
4. Release and Exhaustion Logic
Confirmed-bar release events occur when compression gives way to directional expansion. Exhaustion logic looks for overstretched waves with weakening internal behavior.
5. Dashboard and Regime Visualization
The panel includes adaptive colors, background overlays, event flashes, and a top-right dashboard that summarizes wave state, bias, compression, and most recent event.
Features
Multi-method wave direction: Impulse, pressure, or hybrid state engine
Weighted energy accumulation: Uses price and optional relative volume
Compression scoring: Tracks coiling conditions on a normalized scale
Confirmed release logic: Detects transition from compression to directional expansion
Exhaustion detection: Flags overextended wave conditions
Adaptive gradient styling: Institutional panel presentation for dark charts
Regime overlays and event flashes: Highlights important state transitions cleanly
Top-right dashboard: Summarizes live wave and compression state
Confirmed event mode: Optional bar-close only event gating
Alertconditions: Wave flips, release events, and exhaustion states
How to Use This Indicator
Step 1: Read the Wave State
Determine whether directional energy currently favors bullish, bearish, or neutral behavior.
Step 2: Check Compression
High compression means stored energy but not yet confirmed release. Low compression with directional energy implies active movement rather than coiling.
Step 3: Watch Release Events
Release events matter most when they occur after genuine compression and align with the active wave bias.
Step 4: Respect Exhaustion
Exhaustion conditions can warn that a strong wave is becoming less efficient, even if trend has not yet fully reversed.
Indicator Limitations
Compression and exhaustion are relative, not absolute, conditions
Wave direction depends on the selected method and will respond differently across market types
This panel does not identify exact reversal bars and should not be treated as one
Release events are strongest when combined with separate structural context
Originality Statement
Torsion Range is original in its fusion of wave-state persistence, weighted energy accumulation, compression analysis, and exhaustion logic within one panel. It is not a basic Weis-style clone and not a plain volatility gauge. Its value comes from combining directional energy and volatility state into a single workflow.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Compression, release, and exhaustion states are analytical conditions derived from historical chart behavior and do not guarantee future outcomes.
- Made with passion by jackofalltrades
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PRO-Active Move Counter (Points/Ticks) + Avg Candle (Ticks)COMEX_MINI:MGC1!
Overview
The Active Move Counter is a high-performance momentum and trend-tracking tool designed for intraday traders. Unlike standard range indicators, this script identifies "Legs" of price action and provides a real-time, persistent data readout of the current move’s origin, travel distance, and active strength.
The core logic focuses on Move Persistence. It tracks exactly when a trend "flips" and anchors a starting point, allowing you to see how much "Net Push" the market is achieving relative to the start of the leg, rather than just the high-low range.
Key Features
Locked Origin Tracking: The indicator captures the exact Start Price and Start Time the moment a trend changes direction and holds them constant until the next flip.
Net Push Metric: Measures the current price's distance from the move's origin. This is vital for distinguishing between a strong trend and a weakening retrace.
Adaptive Direction Logic: Choose between Close vs. Close for sensitive tracking or Candle Body for a smoother, more stable trend filter.
Dynamic Table Readout: A clean, real-time dashboard in the corner of your chart keeping you informed on:
Leg Range: The total high-to-low span of the current move.
Net Push: Actual progress made from the leg's start.
Avg Candle Size: A lookback-based volatility gauge (in ticks) to help you set realistic targets.
Bar Count: Know exactly how many candles the current move has lasted.
How to Use
Identify the Start: Use the Start Time to reference the specific candle where momentum shifted.
Gauging Strength: Watch the Net Push. If the Leg Range is large but the Net Push is small, the market is retracing or consolidating. A Net Push that stays close to the Leg Range indicates a powerful trend.
Filtering Noise: Adjust the Min Flip Size (ticks) input to ignore small wiggles and keep the indicator anchored to significant market moves.
Settings
Avg Candle Lookback: Adjusts the period for the average candle size calculation.
Direction Method: Choose how the script detects a trend change.
Min Flip Size: The minimum number of ticks required to confirm a direction change (helps filter chop).
Rounding: Choose how points and ticks are rounded in the display.
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