Volatility Signal-to-Noise Ratio🙏🏻 this is VSNR: the most effective and simple volatility regime detector & automatic volatility threshold scaler that somehow no1 ever talks about.
This is simply an inverse of the coefficient of variation of absolute returns, but properly constructed taking into account temporal information, and made online via recursive math with algocomplexity O(1) both in expanding and moving windows modes.
How do the available alternatives differ (while some’re just worse)?
Mainstream quant stat tests like Durbin-Watson, Dickey-Fuller etc: default implementations are ALL not time aware. They measure different kinds of regime, which is less (if at all) relevant for actual trading context. Mix of different math, high algocomplexity.
The closest one is MMI by financialhacker, but his approach is also not time aware, and has a higher algocomplexity anyways. Best alternative to mine, but pls modify it to use a time-weighted median.
Fractal dimension & its derivatives by John Ehlers: again not time aware, very low info gain, relies on bar sizes (high and lows), which don’t always exist unlike changes between datapoints. But it’s a geometric tool in essence, so this is fundamental. Let it watch your back if you already use it.
Hurst exponent: much higher algocomplexity, mix of parametric and non-parametric math inside. An invention, not a math entity. Again, not time aware. Also measures different kinds of regime.
How to set it up:
Given my other tools, I choose length so that it will match the amount of data that your trading method or study uses multiplied by ~ 4-5. E.g if you use some kind of bands to trade volatility and you calculate them over moving window 64, put VSNR on 256.
However it depends mathematically on many things, so for your methods you may instead need multipliers of 1 or ~ 16.
Additionally if you wanna use all data to estimate SNR, put 0 into length input.
How to use for regime detection:
First we define:
MR bias: mean reversion bias meaning volatility shorts would work better, fading levels would work better
Momo bias: momentum bias meaning volatility longs would work better, trading breakouts of levels would work better.
The study plots 3 horizontal thresholds for VSNR, just check its location:
Above upper level: significant Momo bias
Above 1 : Momo bias
Below 1 : MR bias
Below lower level: significant MR bias
Take a look at the screenshots, 2 completely different volatility regimes are spotted by VSNR, while an ADF does not show different regime:
^^ CBOT:ZN1!
^^ INDEX:BTCUSD
How to use as automatic volatility threshold scaler
Copy the code from the script, and use VSNR as a multiplier for your volatility threshold.
E.g you use a regression channel and fade/push upper and lower thresholds which are RMSEs multiples. Inside the code, multiply RMSE by VSNR, now you’re adaptive.
^^ The same logic as when MM bots widen spreads with vola goes wild.
How it works:
Returns follow Laplace distro -> logically abs returns follow exponential distro , cuz laplace = double exponential.
Exponential distro has a natural coefficient of variation = 1 -> signal to noise ratio defined as mean/stdev = 1 as well. The same can be said for Student t distro with parameter v = 4. So 1 is our main threshold.
We can add additional thresholds by discovering SNRs of Student t with v = 3 and v = 5 (+- 1 from baseline v = 4). These have lighter & heavier tails each favoring mean reversion or momentum more. I computed the SNR values you see in the code with mpmath python module, with precision 256 decimals, so you can trust it I put it on my momma.
Then I use exponential smoothing with properly defined alphas (one matches cumulative WMA and another minimizes error with WMA in moving window mode) to estimate SNR of abs returns.
…
Lightweight huh?
∞
Oscillateurs centrés
Z-Fusion Oscillator | Lyro RSThe Z-Fusion Oscillator converts five momentum indicators into Z-scores and blends them into one normalized signal that adapts across markets.
By combining normalization, smoothing, and divergence detection, users can easily identify when momentum is accelerating, weakening, reversing, or entering extreme zones
🔶 USAGE
The Z-Fusion Oscillator is designed to give traders a unified reading of market momentum—removing the noise of comparing tools that normally run on different scales.
By transforming RSI, MACD histogram, Stochastic, Momentum, and Rate of Change into Z-scores, this tool standardizes all inputs, making trend strength and shifts easier to interpret.
A dual-line system (fast Z-fusion line + slower baseline) highlights turning points, while overbought/oversold bands and “X-marks” help traders spot exhaustion and potential reversals.
🔹 Unified Momentum Structure
The indicator’s core strength comes from combining five Z-scored signals into one average.
Which makes momentum behavior more consistent across assets, reduces false extremes, and highlights true shifts in trend conviction.
🔹 Divergence Detection
The tool includes fully integrated divergence detection:
Regular Bullish Divergence: Price makes a lower low while Z-Fusion forms a higher low.
Regular Bearish Divergence: Price makes a higher high while Z-Fusion forms a lower high
Bullish and bearish divergences are marked directly on the oscillator with labels and colored pivot connections, making hidden momentum shifts obvious.
🔹 Visual Extremes
Two sets of upper and lower Z-score thresholds help identify:
Extreme overbought surges
Extreme oversold drops
Reversal zones
Potential exhaustion conditions
Background coloring reinforces when the oscillator moves beyond major levels, helping traders quickly assess momentum pressure.
🔹 Detecting Momentum Anomalies
Z-scores allow the oscillator to highlight when market momentum behaves abnormally relative to its own recent history.
For example:
The oscillator reaching +1 or –1 after an extended trend may indicate a climax.
A sharp Z-score reversal within an extreme zone can signal a trend exhaustion or a corrective move.
Divergences often appear earlier due to normalization smoothing out indicator noise.
This makes the Z-Fusion Oscillator particularly useful for spotting subtle shifts in trend direction that traditional indicators may miss.
🔶 DETAILS
🔹 Composite Z-Score Framework
Each momentum tool is smoothed, normalized, and transformed:
RSI → EMA-smoothed, Z-scored
MACD histogram → Z-scored
Stochastic → EMA + SMA smoothing, then Z-scored
Momentum → EMA-smoothed, Z-scored
Rate of Change → EMA-smoothed, Z-scored
These are averaged into one composite Z-score to provide a consistent reading across assets and market conditions.
🔹 Fusion Trend Lines
Two lines serve as the core signal:
Fast Line (savg) – reacts quicker to trend changes
Slow Line (savg2) – acts as a baseline filter
Crossovers between these lines highlight momentum shifts, while their color reflects trend bias.
🔹 Overbought/Oversold Zones
Two upper and two lower Z-score thresholds define “zones”:
Upper zones highlight overheated momentum or potential bearish reversals
Lower zones highlight depressed momentum or potential bullish reversals
Filled regions and background colors help visually confirm extreme conditions.
🔹 Pivot-Based Divergence Engine
The script includes filtered pivot detection with customizable look-backs and range limits to ensure divergences are meaningful, not noise-driven.
🔶 SETTINGS
🔹 Indicator Settings
Source — Price series used for all calculations.
Z-Score Length — Lookback period for Z-score normalization.
Z-Score MA Length — Smoothing length for the fusion signal lines.
Overbought/Oversold Levels — Four customizable threshold lines.
Color Palette — Choose from preset themes or define custom colors.
🔹 RSI
Length — RSI calculation period.
EMA Smoothing Length — Smooths RSI before Z-score conversion.
🔹 MACD
Fast Length — Fast EMA length.
Slow Length — Slow EMA length.
Signal Line Length — MACD signal smoothing.
🔹 Stochastic
%K Length — Main stochastic length.
EMA Smoothing — Smooths %K for stability.
%D Length — Smoothing for the signal line.
🔹 Momentum
Length — Momentum lookback.
EMA Smoothing — Smooths momentum before Z-scoring.
🔹 Rate of Change
Length — ROC lookback.
EMA Smoothing — Smooths ROC values.
🔹 Divergence
Enable/Disable Divergence Detection — Toggle divergence engine.
Pivot Left/Right Lookback — Defines pivot detection sensitivity.
Detection Range Limits — Controls allowable range for divergence.
Bull/Bear Colors & Styling — Customize divergence visualization.
🔶 SUMMARY
The Z-Fusion Oscillator combines multiple momentum signatures into a single normalized signal, enabling traders to:
Identify reversals early
Detect momentum exhaustion
Spot bullish and bearish divergences
Track overbought/oversold conditions
Visualize trend strength with clarity
Whether you're a swing trader, intraday analyst, or trend-reversal hunter, the Z-Fusion Oscillator provides a powerful and adaptive way to read momentum.
Valdex - Squeeze Momentum Indicator [MTF]📝 TradingView Publication Description (English)
SQM-MTF: Multi-Timeframe Squeeze Momentum Indicator (v6)
This is a powerful, multi-timeframe (MTF) version of the renowned Squeeze Momentum Indicator originally developed by LazyBear, completely updated for Pine Script v6.
This version allows traders to calculate the momentum and the Teeza Squeeze status from a higher or lower timeframe than the one currently displayed on the chart, providing superior context for entries and exits.
🚀 Key Features
Multi-Timeframe (MTF) Functionality: Use the "Timeframe del Indicador" setting to select a resolution (e.g., "60" for 1-hour or "240" for 4-hour) independent of your chart's resolution.
Momentum Area Plot: The default style is set to Area for better visual continuity, instead of the traditional histogram columns.
Original Color Logic: Uses the original four-color scheme to clearly identify momentum status and acceleration/deceleration:
Bright Green/Lime: Positive Momentum, Accelerating
Dark Green: Positive Momentum, Decelerating
Bright Red: Negative Momentum, Accelerating
Dark Red/Maroon: Negative Momentum, Decelerating
Optimized for V6: Code fully updated to Pine Script v6 syntax, including optimized request.security usage.
💡 How to Use
This indicator is typically used to identify periods of low volatility (the Squeeze) that signal a potential explosive move is imminent.
Use the MTF feature to:
Find the Squeeze: Check a higher timeframe (e.g., 4H) for the Squeeze status while executing trades on a lower timeframe (e.g., 1H or 15m).
Confirm Entry: Wait for the momentum bars to cross the zero line in the desired direction on the MTF indicator, confirming the start of the trend.
📋 Notas de Publicación (Para ti)
Cuando publiques, asegúrate de añadir las siguientes etiquetas (tags) para que sea fácil de encontrar:
Tags Sugeridas: SQUEEZE, MOMENTUM, MTF, MULTITIMEFRAME, SQUEEZEMOMENTUM, LAZYBEAR, VOLATILITY, PINEV6.
Source Code (Código Fuente): Siempre incluye el código Pine Script en la parte inferior de tu descripción en TradingView.
NICHI Beta (NuwenPham's Ichimoku)# **NuwenPham’s Ichimoku (NICHI)**
**Version BETA.251123a.3.1.2 – Pine Script v6**
**Author:** NuwenPham
**Forked from:** Donovan Wall
**Contributors:** Claude (Anthropic)
**License:** MPL 2.0
---
# **Overview**
**NICHI (Nuwen’s Ichimoku)** is a next-generation Ichimoku system that merges the classical Hosoda Ichimoku with a modular adaptive-smoothing engine, enhanced Kumo logic, directional trend counters, and multi-mode bar coloring.
The indicator includes **two completely separate Ichimoku engines**:
* **Standard Ichimoku** – Traditional Donchian-based Tenkan, Kijun, Senkou A/B, and Chikou
* **Advanced Ichimoku** – Fully customizable Ichimoku using 15+ moving-average filters and enhanced logic
NICHI is designed for modern markets—especially **futures and volatile instruments** (NG, CL, ES, NQ, crypto).
---
# **Key Features**
## **1. Dual Ichimoku Systems**
* **Standard Mode:**
Classic Donchian Ichimoku with Tenkan, Kijun, Senkou A/B, and Chikou.
Clean, faithful implementation.
* **Advanced Mode:**
Every Ichimoku line uses a **selected smoothing filter** (EMA, KAMA, FRAMA, Hull, McGinley, etc.).
Includes directional persistence tracking, enhanced cloud logic, and adaptive bar coloring.
---
## **2. Advanced Filter Engine (15+ Smooth Types)**
Use any of the following for Tenkan, Kijun, Senkou B, or Chikou:
* EMA
* DEMA
* SMA
* SMMA (RMA)
* WMA
* VWMA
* Hull MA
* ALMA
* LSMA (Linear Regression)
* McGinley Dynamic
* KAMA
* FRAMA
* COVWMA
* Moving Median
* 50th Percentile (Nearest Rank)
This transforms Ichimoku into an **adaptive trend system**.
---
## **3. Enhanced Cloud (Kumo) Modeling**
* Independent forward offsets for Span A & Span B
* Cloud colors adapt based on strength, direction, and filter behavior
* Cloud thickness reflects volatility
* Neutral cloud state available when spans disagree
---
## **4. Directional Persistence Counters**
NICHI tracks the **trend streak** of each main component:
* Tenkan rising/falling
* Kijun rising/falling
* Span A rising/falling
* Span B rising/falling
These counters make cloud and line colors more accurate and stable.
---
## **5. Regime-Based Bar Coloring (3 Modes)**
NICHI includes three built-in trading frameworks:
### **Mode 1: Kumo-Based**
Bar color reflects price relative to the cloud:
* Green = Above Kumo
* Red = Below Kumo
* Orange = Inside Kumo
Ideal for **trend-following** and **market regime detection**.
---
### **Mode 2: Tenkan/Kijun-Based**
Bar color reflects momentum structure:
* Green = Price above both Tenkan & Kijun
* Red = Price below both
Designed for **momentum entries and TK breakouts**.
---
### **Mode 3: Chikou-Based**
Bars reflect historical confirmation:
* Green = Chikou > price (offset period)
* Red = Chikou < price
Excellent for **confirmation-first strategies** where accuracy matters most.
---
## **6. Multi-MA Overlay System**
Up to **four optional moving averages**:
* SMA, EMA, SMMA, WMA, HMA, VWMA
* Independent lengths, widths, colors
* Useful for bias, confluence, trend filters
Default: **SMA 200** enabled.
---
## **7. TK Cross Signals**
Both systems show TK crosses:
* Standard TK Cross (classic)
* Advanced TK Cross (filtered version)
Crosses appear with clear markers for entry/exit logic.
---
# **How to Use NICHI**
## **1. Choose Your Engine**
* **Standard:** Clean, classic Ichimoku
* **Advanced:** Adaptive, filter-driven Ichimoku
* **Both:** Comparative analysis
---
## **2. Select Your Filter Type (Advanced Mode)**
Suggested filters:
| Market | Filter Type | Notes |
| ---------------- | ---------------- | -------------------------- |
| Natural Gas (NG) | KAMA or FRAMA | Handles extreme volatility |
| Crude Oil (CL) | McGinley Dynamic | Smooths spikes |
| ES / NQ | SMMA or WMA | Balanced response |
| Crypto | Hull or ALMA | Handles momentum bursts |
| FX | EMA or SMMA | Classic, stable |
---
## **3. Choose a Bar-Color Strategy**
* **Kumo-Based:** Trend following
* **TK-Based:** Momentum and breakouts
* **Chikou-Based:** Highest confirmation/accuracy
Each strategy is valid and intentionally distinct.
---
## **4. Reading the Cloud**
* **Bullish Cloud:** Span A > Span B
* **Bearish Cloud:** Span A < Span B
* **Neutral Cloud:** Disagreement between spans
* **Thick Cloud:** High volatility / stronger structure
* **Thin Cloud:** Weak trend / potential twist
---
## **5. Entry & Exit Concepts**
### **Entries**
* **Momentum Entry:** TK cross with price above the cloud
* **Reversal Entry:** TK cross before a cloud twist
* **Confirmation Entry:** Chikou breaks cleanly above/below past price
### **Exits**
* Price falling through Kijun
* Re-entering the cloud
* Opposite TK cross
* Cloud flipping against position
---
# **Recommended Trading Approaches**
## **Kumo-Based Trend Strategy**
* Long above cloud, short below
* Avoid signals inside cloud
Best for swing/position trading.
---
## **TK-Based Momentum Strategy**
* Enter on Tenkan/Kijun breakout
* Bar color confirms momentum
* Cloud filter optional but helps
Great for high-velocity markets.
---
## **Chikou-Based Confirmation Strategy**
* Enter only when Chikou confirms structure
* Highest accuracy, fewest trades
* Ideal for volatile markets (NG, CL)
---
# **Closing Notes**
NICHI is a **research-grade Ichimoku framework** designed to handle modern volatility where traditional Ichimoku often fails.
It supports scalpers, swing traders, and system developers alike.
Experiment with:
* Filter types
* Cloud offsets
* Bar-color modes
* MA overlays
to match your strategy and market.
Project 1 - Complete with CMF and All IndicatorsProject 1 – Multi-Indicator Suite
This script combines several widely-used technical indicators into a single visual framework.
It is designed to help traders track momentum, trend strength, volume behavior, and money flow without switching between multiple tools.
Included components:
• MACD with dynamic color changes
• RSI with percentage change and directional marker
• ADX with trend-strength shading and Δ% calculation
• CMF (Chaikin Money Flow) with positive/negative flow tracking
• Volume Oscillator for short–long volume pressure
• Auto-updated labels for RSI, ADX, and CMF
• Lightweight visual lines to show momentum changes
Use cases:
• Trend confirmation
• Momentum diagnostics
• Volume-based pressure analysis
• Money-flow direction and strength
• Multi-factor confluence without indicator stacking
This tool does not generate buy/sell signals and does not imply trading outcomes.
It is a visual analytics suite built for discretionary technical analysis.
MA200 Parallel ChannelDynamic MA100 Parallel Bands – Precision S/R Levels
This indicator builds a clean, parallel channel around the 100-period moving average using a fixed ±4 offset.
Because the offset mirrors the short-term MA1 fluctuations, the channel reveals highly accurate support and resistance zones that react instantly to market micro-structure.
Unlike Bollinger Bands—which expand with volatility—this tool stays perfectly parallel and trend-aligned, making breakouts and pullbacks incredibly easy to spot.
How it works:
Centerline: 100-period moving average (MA100)
Upper Band: MA100 + 4
Lower Band: MA100 – 4
MA1 used as a sensitivity reference for micro-trend behavior
Parallel structure ensures stable, predictable levels
Why it’s powerful:
The ±4 channel creates extremely precise S/R zones
Price respecting the lower band = dynamic support
Price rejecting the upper band = dynamic resistance
A clean break above or below the bands highlights strong momentum shifts
Perfect for intraday traders needing structure without noise
Perfect for:
Identifying high-probability bounce levels
Spotting early trend continuation
Confirming MA100 breakouts
Filtering weak signals and fake volatility spikes
If you want razor-sharp support & resistance levels that stay consistent across all timeframes, these MA100 parallel bands deliver exceptional clarity.
EGX Monitor Dashboard By Biscuits_Trading_Solutionsلوحة مراقبة البورصة المصرية من Biscuits_Trading_Solutions
نظرة عامة:
لوحة مراقبة البورصة المصرية هي أداة تحليل فني شاملة مصممة لتوفير نظرة فورية وواضحة على صحة السوق. تجمع الأداة مؤشرات رئيسية مختارة بعناية لتناسب السوق المصري لتوفر عليك عبء إضافة عدد كبير من المؤشرات في وقت واحد على الشاشة - بما في ذلك متوسطات متحركة، MACD، RSI، ADX، ATR، وتحليل متقدم لحجم التداول (دلتا) - في جدول واحد وسهل القراءة على الرسم البياني. مثالية للمتداولين الذين يحتاجون لتقييم الاتجاه، الزخم، وديناميكيات الحجم في لمحة دون تشويش الشاشة.
English Version is below ⬇️⬇️
المميزات الرئيسية:
* لوحة متابعة للمتوسطات المتحركة: تتابع وتلون وضع السعر بالنسبة لـ 6 متوسطات متحركة رئيسية (200 بسيط، 100 بسيط/آسي، 50 بسيط، 20 آسي، 9 آسي).
* تحليل متقدم لـ MACD: تعرض قيمة هِستوجرام MACD، حالة التقاطع بين MACD وخط الإشارة، وتكشف عن انحرافات صعودية محتملة (Bullish Divergence).
* مقاييس الزخم: تتضمن قراءات RSI و ADX، مع تلوينها للإشارة إلى مناطق الشراء المفرط والبيع المفرط وقوة الاتجاه.
تحليل متطور للحجم:
*دلتا الحجم/السيولة (الفارق بين حجم الشراء وحجم البيع).
* الحجم مقارنة بمتوسطه المتحرك لـ 20 و 50 فترة (لمقارنته بفترة متوسطة 20 شمعة وطويلة 50 شمعة)
* دلتا الحجم مقارنة بمتوسطها المتحرك لـ 20 و 50 فترة لقياس ضغط البيع والشراء.
عرض مرئي نظيف : جميع البيانات معروضة في جدول شبه شفاف يمكن وضعه في أي مكان على الرسم البياني. يتم أيضًا رسم المتوسطات المتحركة بخفة للاستدلال البصري.
مدخلات قابلة للتخصيص : جميع أطوال المؤشرات، المضاعفات، وموضع الجدول قابلة للتعديل كليًا من الإعدادات.
إزاحة الشمعة : تسمح لك بمشاهدة قراءات المؤشر من عدد محدد من الشمعات السابقة، مما يفيد في تحليل الظروف السابقة.
طريقة الاستخدام:
* تقييم الاتجاه: انظر إلى جدول المتوسطات المتحركة. وجود عدة خلايا خضراء (السعر فوق المتوسط) يشير إلى اتجاه صاعد قوي، بينما يشير اللون الأحمر إلى اتجاه هابط.
* تأكيد الزخم: تحقق من مؤشر RSI (شراء مفرط >70، بيع مفرط <30) و ADX (اتجاه قوي >25) لفهم سياق الزخم.
*تأكيد الحجم: استخدم أعمدة الحجم لتأكيد الحركات. حركة السعر المصحوبة بحجم "أعلى من المتوسط" ودلتا "صعودي" تكون أكثر أهمية.
إشارات الدخول/الخروج:
* انحراف MACD الصعودي يمكن أن يشير إلى انعكاس محتمل.
* وجود "نعم" لـ "MACD > Sig" يؤكد الزخم الصعودي.
* قيم ATR المرتفعة تشير إلى زيادة التقلب، وغالبًا ما ترافق الاتجاهات القوية أو اختراقات المستويات.
الإعدادات:
ما عليك سوى إضافة المؤشر إلى الرسم البياني الخاص بك. ستظهر اللوحة تلقائيًا. يمكنك ضبط جميع المعاملات (أطوال المتوسطات المتحركة، إعدادات الحجم، مكان الجدول) في تبويب "الإدخالات" في نافذة المؤشر لتناسب أسلوب تداولك.
إخلاء مسؤولية: جميع الإشارات التي تظهر ليست دعوة للبيع والشراء، هذا المحتوى تعليمي يساعدك على قراءة الشاشة بشكل أفضل، وقرارك الاستثماري يعود لك وحدك.
---
EGX Monitor Dashboard By Biscuits_Trading_Solutions
Overview :
The EGX Monitor Dashboard is a comprehensive technical analysis tool designed to provide a clear and immediate overview of the market's health. It consolidates key indicators, carefully selected for the Egyptian market, saving you the burden of adding a large number of indicators to your screen at once —including moving averages, MACD, RSI, ADX, ATR, and advanced volume delta analysis—into a single, easy-to-read table on your chart. Perfect for traders who need to assess trend, momentum, and volume dynamics at a glance without cluttering their screen.
Key Features :
* Moving Average Dashboard: Tracks and color-codes the price position relative to 6 key moving averages (200 SMA, 100 SMA/EMA, 50 SMA, 20 EMA, 9 EMA).
* Advanced MACD Analysis: Displays the MACD histogram value, the MACD vs. Signal line crossover state, and detects potential bullish divergences.
* Momentum Gauges: Includes RSI and ADX readings, color-coded for overbought/oversold and trend strength conditions.
Advanced Volume/Liquidity Analysis:
* Volume Delta (the difference between buying and selling volume).
* Volume compared to its 20 and 50-period moving averages (for medium-term 20-bar and long-term 50-bar comparisons).
* Volume Delta compared to its 20 and 50-period moving averages to measure buying/selling pressure.
Clean Visualization: All data is presented in a semi-transparent table that can be positioned anywhere on the chart. The moving averages are also plotted lightly for visual reference.
Customizable Inputs: All indicator lengths, multipliers, and the table position are fully adjustable in the settings.
Bar Offset: Allows you to view the indicator readings from a specific number of bars back, useful for analyzing past conditions.
How to Use:
* Trend Assessment: Look at the MA table. A cluster of green "Bullish" cells (price above MA) indicates a strong uptrend, while red indicates a downtrend.
* Momentum Confirmation: Check the RSI (overbought >70, oversold <30) and ADX (strong trend >25) for momentum context.
* Volume Confirmation: Use the volume columns to confirm moves. A price move with "Above Avg" volume and "Bullish" Delta is more significant.
Entry/Exit Clues:
* A "Bullish" MACD divergence can signal a potential reversal.
* A "Yes" for "MACD > Sig" confirms bullish momentum.
* High ATR values indicate increased volatility, often accompanying strong trends or breakouts.
Configuration:
Simply add the indicator to your chart. The dashboard will appear automatically. You can adjust all parameters (MA lengths, volume settings, table position) in the indicator's "Inputs" tab to suit your trading style.
Disclaimer: All signals that appear are not an invitation to buy or sell. This content is educational and is intended to help you read the screen better. Your investment decision is yours alone.
Dual MACD With Pilot Background + + Stoch RSI Alert HELL 2macd 1 chart time macd 2 4x chart time with over bought and over sold stoc rsi alerts
Stochastic Pro+ Suite📚 What Is the Stochastic Oscillator?
The stochastic oscillator is a momentum indicator comparing a security's closing price to its price range over a set number of periods. The %K line represents the raw stochastic value, while the %D line is a smoothed moving average of %K.
Stochastic helps identify:
Overbought and oversold conditions
Bullish and bearish crossovers
Momentum shifts before price reversals
It is widely used in both trending and ranging markets.
💡 What Makes This Suite Different?
This script supercharges the traditional stochastic with a multi-timeframe engine , divergence detection , and a highly customizable visual suite , including:
✅ Core Features:
- Multi-Timeframe (%K, %D, Spread): Pulls stochastic data from any higher timeframe for improved signal quality.
- Custom Overbought/Oversold Levels: Fully adjustable OB/OS thresholds (default: 80/20).
- %K-%D Spread Histogram: View the difference between %K and %D visually as a histogram.
- Color-coded Cross Highlights: Optional background shading for key crossover events in OB/OS zones (high probability reversal areas).
🔍 Divergence Detection (Optional):
- Bullish Divergence: Price makes lower lows while %K makes higher lows.
- Bearish Divergence: Price makes higher highs while %K makes lower highs.
- Customizable pivot lookbacks and range filters to control divergence strictness.
- Visual divergence labels plotted directly on the oscillator.
🎛️ Fully Toggleable Visuals:
Show/hide %K, %D, OB/OS lines, spread histogram, background highlight, and divergence — all via simple checkboxes.
🔔 Alerts:
Set alerts for both bullish and bearish divergences — ideal for swing, day, or trend reversal strategies.
⚙️ Use Cases
- Spot exhaustion in overbought/oversold zones
- Confirm or filter entries with divergence signals
- Monitor multiple timeframes without switching charts
- Use as a signal tool in confluence with price action or volume indicators
⚠️ Disclaimer
This tool is for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment guidance. Always do your own research and consult a qualified financial advisor before making trading decisions.
Dual Kijun TrendSyncDual Kijun TrendSync ~ GForge
What It Is:
The Dual Kijun TrendSync is an advanced trend-following indicator that combines Ichimoku's Kijun-sen (baseline) concept with modern oscillator mechanics and momentum deviation bands. It uses two parallel Kijun systems running at different speeds to capture both short-term momentum and longer-term trend direction.
The Kijun Calculation:
Unlike moving averages that use closing prices, Kijun-sen uses a unique approach:
Kijun = (Highest High + Lowest Low) / 2
Over a specified period (e.g., 26 bars), it finds:
The highest price reached
The lowest price reached
Then plots the midpoint between them
This creates a "equilibrium line" that represents the center of price action over that period. When price breaks above/below this equilibrium, it signals a potential trend shift. The indicator then adds volatility bands around this Kijun line and measures where price sits within those bands as a 0-100 oscillator.
Core Components:
1. Dual Kijun Systems:
Kijun 1 (Fast): Shorter period for responsive signals
Kijun 2 (Slow): Longer period for trend confirmation
Each uses the (High+Low)/2 midpoint calculation
2. Oscillator Conversion:
Transforms price position relative to volatility bands into a 0-100 oscillator
Formula: 100 * (Price - LowerBand) / (UpperBand - LowerBand)
Similar to Stochastic but using Kijun as the baseline
3. Momentum Deviation Bands (MD):
Applies Bollinger Band concept to the oscillator itself
Creates dynamic overbought/oversold zones that adapt to volatility
Refines entry/exit signals when in "Average" mode
How It Works:
Signal Generation:
Long signals: Oscillator crosses above the long threshold (default 82)
Short/Cash signals: Oscillator crosses below the short threshold (default 32)
In "Average" mode, uses MD band crossovers for more refined entries
Three Operating Modes:
Kijun1 Only: Fast signals, more trades, quicker reactions
Kijun2 Only: Slower signals, fewer trades, stronger trends
Average: Combines both systems with MD refinement for balanced approach
Visual Feedback:
Gradient bar coloring shows current oscillator state
Threshold lines mark entry/exit zones on price chart
MD bands show momentum extremes
Comprehensive metrics table tracks performance
Key Advantages:
Ichimoku Foundation: Leverages time-tested equilibrium concepts
Dual Timeframe Analysis: Captures both momentum and trend
Adaptive Volatility: MD bands adjust to market conditions
Clear Visual Signals: Easy to interpret with color-coded zones
Built-in Risk Metrics: Real-time performance tracking
Best Use Cases:
Trending markets where Kijun equilibrium shifts are meaningful
Instruments with clear directional moves
Timeframes from 1H to Daily (higher timeframes typically better)
Can be used standalone or combined with other Ichimoku elements
The indicator essentially answers: "Where is price relative to its equilibrium, and is momentum strong enough to warrant a position change?"
⚠️ DISCLAIMER
This indicator is a technical analysis tool designed to assist in trading decisions. Past performance does not guarantee future results. Always conduct your own research and use proper risk management. This tool should be used as part of a comprehensive trading strategy, not as a standalone solution.
Developed by GForge Trading Systems
Hash Momentum IndicatorHash Momentum Indicator
Overview
The Hash Momentum Indicator provides real-time momentum-based trading signals with visual entry/exit markers and automatic risk management levels. This is the indicator version of the popular Hash Momentum Strategy, designed for traders who want signal alerts without backtesting functionality.
Perfect for: Live trading, automation via alerts, multi-indicator setups, and clean chart visualization.
What Makes This Indicator Special
1. Pure Momentum-Based Signals
Captures price acceleration in real-time - not lagging moving average crossovers. Enters when momentum exceeds a dynamic ATR-based threshold, catching moves as they begin accelerating.
2. Automatic Risk Management Visualization
Every signal automatically displays:
Entry level (white dashed line)
Stop loss level (red line)
Take profit target (green line)
Partial TP levels (dotted green lines)
3. Smart Trade Management
Trade Cooldown: Prevents overtrading by enforcing waiting period between signals
EMA Trend Filter: Only trades with the trend (optional)
Session Filters: Trade only during Tokyo/London/New York sessions (optional)
Weekend Toggle: Avoid low-liquidity weekend periods (optional)
4. Clean Visual Design
🟢 Tiny green dot = Long entry signal
🔴 Tiny red dot = Short entry signal
🔵 Blue X = Long exit
🟠 Orange X = Short exit
No cluttered labels or dashboard - just clean signals
5. Professional Alerts Ready
Set up TradingView alerts for:
Long signals
Short signals
Long exits
Short exits
How It Works
Step 1: Calculate Momentum
Momentum = Current Price - Price
Normalized by standard deviation for consistency
Must exceed ATR × Threshold to trigger
Step 2: Confirm Acceleration
Momentum must be increasing (positive momentum change)
Price must be moving in signal direction
Step 3: Apply Filters
EMA Filter: Long only above EMA, short only below EMA (if enabled)
Session Filter: Check if in allowed trading session (if enabled)
Weekend Filter: Block signals on Sat/Sun (if enabled)
Cooldown: Ensure minimum bars passed since last signal
Step 4: Generate Signal
All conditions met = Entry signal fires
Lines automatically drawn for entry, stop, and targets
Step 5: Exit Detection
Opposite momentum detected = Exit signal
Stop loss or take profit hit = Exit signal
Lines removed from chart
⚙️ Settings Guide
Core Strategy
Momentum Length (Default: 13)
Number of bars for momentum calculation. Higher values = stronger signals but fewer trades.
Aggressive: 10
Balanced: 13
Conservative: 18-24
Momentum Threshold (Default: 2.25)
ATR multiplier for signal generation. Higher values = only trade the biggest momentum moves.
Aggressive: 2.0
Balanced: 2.25
Conservative: 2.5-3.0
Risk:Reward Ratio (Default: 2.5)
Your target profit as a multiple of your risk. With 2.2% stop and 2.5 R:R, your target is 5.5% profit.
Conservative: 3.0+ (need 25% win rate to profit)
Balanced: 2.5 (need 29% win rate to profit)
Aggressive: 2.0 (need 33% win rate to profit)
SMC MTF + FVG + Trailing TP 100% [FIXED]Component Description
Entry Timeframe: H1
Trend Filter: D1 (EMA50 vs EMA200)
Trend Filter Only enter BUY orders if EMA50 > EMA200 on D1 (uptrend)
Only enter SELL orders if EMA50 < EMA200 (downtrend)
Break of Structure (BOS) Identify the previous swing high/low breakout point
Order Block (OB) The candle area before BOS is marked with an orange box
Fair Value Gap (FVG) Check for the presence of a price gap to confirm Entry
Trailing TP Trigger trailing after reaching the desired R (in pips or ATR)
VALDEX-H + Squeeze MomentumVALDEX H-SQ: The Harmonized Momentum & Trend Engine
The VALDEX H-SQ is a powerful combined indicator engineered to provide traders with clear, synchronized signals for both market momentum and trend confirmation, all within a single, visually harmonized pane.
This script fuses two robust components: the Squeeze Momentum Indicator (modified and scaled) and the Heikin-Ashi RSI (HARSI) method, offering a high-contrast view of market dynamics.
⭐ Key Features & Components
📈 Scaled Squeeze Momentum: The primary engine for market compression and release. It clearly shows when volatility has been squeezed out (potential for a large move) and the direction of the momentum acceleration/deceleration.
Bright Colors (Green/Red): Indicate Accelerating Momentum (High confidence entry).
Dark Colors (Dark Green/Dark Red): Indicate Decelerating Momentum (Signal to manage or consider exit).
📊 VALDEX-H Candles (Heikin-Ashi RSI): These unique candles provide clear trend confirmation by plotting the RSI smoothed and translated into a Heikin-Ashi format.
Teal/Green Candles: Confirms a strong Uptrend.
Red/Maroon Candles: Confirms a strong Downtrend.
🔵 RSI Overlay Line: A smoothed RSI line is plotted on top of the Squeeze histogram, offering a precise view of the overall trend strength and potential turning points.
✅ Harmonized Scaling: Both the Squeeze Momentum and the VALDEX-H components have been custom-scaled to the ±30 range, ensuring visual coherence and making it easy to compare the strength of momentum release against the underlying trend.
🔔 How to Use VALDEX H-SQ
The most reliable signals are generated by combining the two components:
LONG Entry Signal (Buy): Look for the Squeeze Momentum crossing above zero with the color switching to Bright Green (Accelerating Positive Momentum) AND the VALDEX-H Candles turning Teal/Green.
SHORT Entry Signal (Sell): Look for the Squeeze Momentum crossing below zero with the color switching to Bright Red (Accelerating Negative Momentum) AND the VALDEX-H Candles turning Red/Maroon.
Exit/Profit Taking: Consider exiting when the Squeeze momentum color shifts from Bright (Accelerating) to Dark (Decelerating), indicating momentum exhaustion.
This is the ultimate tool for traders who demand clarity, precision, and visual harmony in their momentum and trend analysis.
Valdex HARSI
English Description: VALDEX-H (Standalone)
Title: VALDEX-H (Valdex Heikin-Ashi RSI)
Overview
The VALDEX-H is an advanced momentum oscillator designed to provide a cleaner and less noisy view of market momentum compared to a standard Relative Strength Index (RSI). It integrates Heikin-Ashi smoothing logic directly into the RSI calculation, effectively filtering market fluctuations and providing clearer trend visualization, optimized for Pine Script v6.
Key Components and Signals
Custom Candle Plot: The core of VALDEX-H is a series of candles plotted within the indicator panel, generated from the smoothed RSI data itself.
Green/Teal Candles: Indicate strong or rising bullish momentum.
Red/Maroon Candles: Indicate strong or rising bearish momentum.
The consistency of the candle color is the primary trend signal.
RSI Overlay Line: A smoothed line that plots the overall trajectory of the VALDEX-H signal, useful for identifying divergences and general momentum flow.
Fixed Reference Levels: The indicator uses fixed, non-editable levels for standardized overbought and oversold analysis:
Overbought (OB): +30
Oversold (OS): -30
Zero Line (0): Acts as the median, signaling the shift between bullish and bearish control.
How to Use
The VALDEX-H excels at identifying low-risk entry points and trend shifts:
Trend Confirmation: Use the candle color to confirm the market's trend direction. A shift from Red to Green/Teal suggests a potential bottom or reversal.
Overbought/Oversold Reversals: Look for the RSI Overlay Line to touch or cross the +30 or -30 levels, followed by a change in candle color for high-probability reversal signals.
Cross Zero Signal: A strong signal occurs when the RSI Overlay Line crosses the zero line, confirming the shift from bearish control (below 0) to bullish control (above 0), or vice-versa.
SWRSI Trends (Source Out)Overview SWRSI Trends is a specialized momentum indicator based on the Relative Strength Index (RSI). While it functions as a visual trading aid with bar coloring and signal shapes, its primary purpose is to serve as a modular signal provider for other strategies and backtesting bots on TradingView.
It detects trend reversals by monitoring RSI crossovers at specific custom levels (Default: 60 and 40), rather than the standard 70/30 extreme zones.
Key Features
1. External Source Outputs (Connect to Bots) This script includes hidden plot outputs specifically designed to interface with other scripts.
RSI LONG SIGNAL (Source): Outputs a value of 1 when a Long condition is met, 0 otherwise.
RSI SHORT SIGNAL (Source): Outputs a value of 1 when a Short condition is met, 0 otherwise.
Usage: You can select these outputs as the "Entry Source" in compatible Strategy scripts or Backtest Bots without needing to copy-paste code.
2. Signal Logic
Long Signal: Triggered when the RSI line crosses OVER the Lower Threshold (Default: 40). This indicates momentum is recovering from the lower zone.
Short Signal: Triggered when the RSI line crosses UNDER the Upper Threshold (Default: 60). This indicates momentum is cooling off from the upper zone.
3. Visual Aids
Bar Coloring: Candles change color based on RSI position (Green above 60, Red below 40).
Dynamic Line: The RSI line changes color to reflect the current zone.
Settings
RSI Length: The lookback period for calculation (Default: 14).
Short Threshold: Level for bearish crossover (Default: 60).
Long Threshold: Level for bullish crossover (Default: 40).
Color Bars: Toggle candle painting on/off.
How to Connect to Another Indicator
Add SWRSI Trends to your chart.
Open the settings of your Target Strategy/Bot (e.g., SwietcherBot).
In the "Source" or "External Signal" input field, select "SWRSI Trends: RSI LONG SIGNAL" or "RSI SHORT SIGNAL" from the dropdown menu.
Hash Momentum Strategy# Hash Momentum Strategy
## 📊 Overview
The **Hash Momentum Strategy** is a professional-grade momentum trading system designed to capture strong directional price movements with precision timing and intelligent risk management. Unlike traditional EMA crossover strategies, this system uses momentum acceleration as its primary signal, resulting in earlier entries and better risk-to-reward ratios.
---
## ⚡ What Makes This Strategy Unique
### 1. Momentum-Based Entry System
Most strategies rely on lagging indicators like moving average crossovers. This strategy captures momentum *acceleration* - entering when price movement is gaining strength, not after the move has already happened.
### 2. Programmable Risk-to-Reward
Set your exact R:R ratio (1:2, 1:2.5, 1:3, etc.) and the strategy automatically calculates stop loss and take profit levels. No more guessing or manual calculations.
### 3. Smart Partial Profit Taking
Lock in profits at multiple stages:
- **First TP**: Take 50% off at 2R
- **Second TP**: Take 40% off at 2.5R
- **Final TP**: Let 10% ride to maximum target
This approach locks in gains while letting winners run.
### 4. Dynamic Momentum Threshold
Uses ATR (Average True Range) multiplied by your threshold setting to adapt to market volatility. Volatile markets = higher threshold. Quiet markets = lower threshold.
### 5. Trade Cooldown System
Prevents overtrading and revenge trading by enforcing a cooldown period between trades. Configurable from 1-24 bars.
### 6. Optional Session & Weekend Filters
Filter trades by Tokyo, London, and New York sessions. Optional weekend-off toggle to avoid low-liquidity periods.
---
## 🎯 How It Works
### Signal Generation
**STEP 1: Calculate Momentum**
- Momentum = Current Price - Price
- Check if Momentum > ATR × Threshold Multiplier
- Momentum must be accelerating (positive change in momentum)
**STEP 2: Confirm with EMA Trend Filter**
- Long: Price must be above EMA
- Short: Price must be below EMA
**STEP 3: Check Filters**
- Not in cooldown period
- Valid session (if enabled)
- Not weekend (if enabled)
**STEP 4: ENTRY SIGNAL TRIGGERED**
### Risk Management Example
**Example Long Trade:**
- Entry: $100
- Stop Loss: $97.80 (2.2% risk)
- Risk Amount: $2.20
**Take Profit Levels:**
- TP1: $104.40 (2R = $4.40) → Close 50%
- TP2: $105.50 (2.5R = $5.50) → Close 40%
- Final: $105.50 (2.5R) → Close remaining 10%
---
## ⚙️ Settings Guide
### Core Strategy
**Momentum Length** (Default: 13)
Number of bars for momentum calculation. Higher = stronger but fewer signals.
**Momentum Threshold** (Default: 2.25)
ATR multiplier. Higher = only trade biggest moves.
**Use EMA Trend Filter** (Default: ON)
Only long above EMA, short below EMA.
**EMA Length** (Default: 28)
Period for trend-confirming EMA.
### Filters
**Use Trading Session Filter** (Default: OFF)
Restrict trading to specific sessions.
**Tokyo Session** (Default: OFF)
Trade during Asian hours (00:00-09:00 JST).
**London Session** (Default: OFF)
Trade during European hours (08:00-17:00 GMT).
**New York Session** (Default: OFF)
Trade during US hours (08:00-17:00 EST).
**Weekend Off** (Default: OFF)
Disable trading on Saturdays and Sundays.
### Risk Management
**Stop Loss %** (Default: 2.2)
Fixed percentage stop loss from entry.
**Risk:Reward Ratio** (Default: 2.5)
Your target reward as multiple of risk.
**Use Partial Profit Taking** (Default: ON)
Take profits in stages.
**First TP R:R** (Default: 2.0)
First target as multiple of risk.
**First TP Size %** (Default: 50)
Percentage of position to close at TP1.
**Second TP R:R** (Default: 2.5)
Second target as multiple of risk.
**Second TP Size %** (Default: 40)
Percentage of position to close at TP2.
### Trade Management
**Use Trade Cooldown** (Default: ON)
Prevent overtrading.
**Cooldown Bars** (Default: 6)
Bars to wait after closing a trade.
---
## 🎨 Visual Elements
### Chart Indicators
🟢 **Green Dot** (below bar) = Long entry signal
🔴 **Red Dot** (above bar) = Short entry signal
🔵 **Blue X** (above bar) = Long position closed
🟠 **Orange X** (below bar) = Short position closed
**EMA Line** = Trend direction (green when bullish, red when bearish)
**White Line** = Entry price
**Red Line** = Stop loss level
**Green Lines** = Take profit levels (TP1, TP2, Final)
### Dashboard
When not in real-time mode, a dashboard displays:
- Current position (LONG/SHORT/FLAT)
- Entry price
- Stop loss price
- Take profit price
- R:R ratio
- Current momentum strength
- Total trades
- Win rate
- Net profit %
---
## 📈 Recommended Settings by Timeframe
### 1-Hour Timeframe (Default)
- Momentum Length: 13
- Momentum Threshold: 2.25
- EMA Length: 28
- Stop Loss: 2.2%
- R:R Ratio: 2.5
- Cooldown: 6 bars
### 4-Hour Timeframe
- Momentum Length: 24-36
- Momentum Threshold: 2.5
- EMA Length: 50
- Stop Loss: 3-4%
- R:R Ratio: 2.0-2.5
- Cooldown: 6-8 bars
### 15-Minute Timeframe
- Momentum Length: 8-10
- Momentum Threshold: 2.0
- EMA Length: 20
- Stop Loss: 1.5-2%
- R:R Ratio: 2.0
- Cooldown: 4-6 bars
---
## 🔧 Optimization Tips
### Want More Trades?
- Decrease Momentum Threshold (2.0 instead of 2.25)
- Decrease Momentum Length (10 instead of 13)
- Decrease Cooldown Bars (4 instead of 6)
### Want Higher Quality Trades?
- Increase Momentum Threshold (2.5-3.0)
- Increase Momentum Length (18-24)
- Increase Cooldown Bars (8-10)
### Want Lower Drawdown?
- Increase Cooldown Bars
- Use tighter stop loss
- Enable session filters (trade only high-liquidity sessions)
- Enable Weekend Off
### Want Higher Win Rate?
- Increase R:R Ratio (may reduce total profit)
- Increase Momentum Threshold (fewer but stronger signals)
- Use longer EMA for trend confirmation
---
## 📊 Performance Expectations
Based on typical backtesting results:
- **Win Rate**: 35-45%
- **Profit Factor**: 1.5-2.0
- **Risk:Reward**: 1:2.5 (configurable)
- **Max Drawdown**: 10-20%
- **Trades/Month**: 8-15 (1H timeframe)
**Note:** Win rate may appear low, but with 2.5:1 R:R, you only need ~29% win rate to break even. The strategy aims for quality over quantity.
---
## 🎓 Strategy Logic Explained
### Why Momentum > EMA Crossover?
**EMA Crossover Problems:**
- Signals lag behind price
- Late entries = poor R:R
- Many false signals in ranging markets
**Momentum Advantages:**
- Catches moves as they start accelerating
- Earlier entries = better R:R
- Adapts to volatility via ATR
### Why Partial Profit Taking?
**Without Partial TPs:**
- All-or-nothing approach
- Winners often turn to losers
- High stress watching open positions
**With Partial TPs:**
- Lock in 50% at first target
- Reduce risk to breakeven
- Let remainder ride for bigger gains
- Lower psychological pressure
### Why Trade Cooldown?
**Without Cooldown:**
- Revenge trading after losses
- Overtrading in choppy markets
- Emotional decision-making
**With Cooldown:**
- Forces discipline
- Waits for new setup to develop
- Reduces transaction costs
- Better signal quality
---
## ⚠️ Important Notes
1. **This is a momentum strategy, not an EMA strategy**
The EMA only confirms trend direction. Momentum generates the actual signals.
2. **Backtest thoroughly before live trading**
Past performance ≠ future results. Test on your specific asset and timeframe.
3. **Use proper position sizing**
Risk 1-2% of account per trade maximum. The strategy uses 100% equity by default (adjust in Properties).
4. **Dashboard auto-hides in real-time**
Clean chart for live trading. Visible during backtesting.
5. **Customize for your trading style**
All settings are fully adjustable. No single "best" configuration.
---
## 🚀 Quick Start Guide
1. **Add to Chart**: Apply to your preferred asset and timeframe
2. **Keep Defaults**: Start with default settings
3. **Backtest**: Review historical performance
4. **Paper Trade**: Test with simulated money first
5. **Go Live**: Start small and scale up
---
## 💡 Pro Tips
**Tip 1: Combine Timeframes**
Use higher timeframe (4H) for trend direction, lower timeframe (1H) for entries.
**Tip 2: Avoid News Events**
Major news can cause whipsaws. Consider manual intervention during high-impact events.
**Tip 3: Monitor Momentum Strength**
Dashboard shows momentum in sigma (σ). Values >1.0σ indicate very strong momentum.
**Tip 4: Adjust for Volatility**
In high-volatility markets, increase threshold and stop loss. In quiet markets, decrease them.
**Tip 5: Review Losing Trades**
Check if losses are hitting stop loss or reversing. Adjust stop accordingly.
---
## 📝 Changelog
**v1.0** - Initial Release
- Momentum-based signal generation
- EMA trend filter
- Programmable R:R ratio
- Partial profit taking (3 stages)
- Trade cooldown system
- Session filters (Tokyo/London/New York)
- Weekend off toggle
- Smart dashboard (auto-hides in real-time)
- Clean visual design
---
## 🙏 Credits
Developed by **Hash Capital Research**
If you find this strategy useful, please give it a like and share with others!
---
## ⚖️ Disclaimer
This strategy is for educational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before trading.
---
## 📬 Feedback
Have suggestions or found a bug? Leave a comment below! I'm continuously improving this strategy based on community feedback.
---
**Happy Trading! 🚀📈**
Fat Tony's Composite Momentum Histogram (v01)# Fat Tony's Composite Momentum Histogram
## What It Does
This indicator combines four momentum oscillators into a single composite signal that ranges approximately from -100 to +100. It identifies potential overbought and oversold conditions while weighting signals by volume activity to filter out weak moves.
The histogram shows momentum strength with color-coded bars:
- **Red bars** indicate extreme overbought conditions (above +100)
- **Green bars** indicate extreme oversold conditions (below -100)
- **Blue bars** show positive momentum in normal range
- **Orange bars** show negative momentum in normal range
## Core Components
The indicator blends these four momentum measures:
1. **Williams %R** - Measures where price closed relative to the high-low range
2. **Stochastic %K** - Compares closing price to the recent price range
3. **MACD Histogram** - Shows momentum changes via moving average convergence/divergence
4. **ROC (Rate of Change)** - Measures percentage price change, normalized by volatility
Each component is scaled to a -50 to +50 range, then averaged together. The MACD component uses adaptive scaling based on its historical volatility to remain relevant across different market conditions.
## Volume Weighting
The indicator amplifies signals when volume is elevated and dampens them when volume is low. It uses a logarithmic scaling approach to smooth extreme volume spikes. There's also a minimum volume filter that prevents signals from triggering during very low-volume periods.
## Settings Explained
**Momentum Settings:**
- **Length (14)** - Lookback period for Williams %R and Stochastic calculations
- **MACD Fast/Slow/Signal (12/26/9)** - Standard MACD parameters
- **ROC Length (10)** - Lookback for rate of change calculation
- **MACD StDev Length (200)** - Historical window for normalizing MACD values
**Levels:**
- **Overbought Level (+100)** - Threshold for extreme upside momentum
- **Oversold Level (-100)** - Threshold for extreme downside momentum
**Volume Settings:**
- **Enable Volume Weighting** - Toggle volume amplification on/off
- **Volume Sensitivity (1.5)** - Controls how much volume impacts the signal (higher = stronger impact)
- **Min Avg Volume (50,000)** - Filters out signals when 5-bar average volume is too low
**Components:**
- **Include ROC Component** - Toggle to add/remove ROC from the calculation
- **Enable Trend Filter** - Only allows signals aligned with the 200-period EMA trend
- **Show Component Plots** - Displays individual oscillator values for tuning purposes
## Trading Signals
**Entry Signals:**
- **Long (green triangle)** - Composite crosses above the oversold level with adequate volume
- **Short (red triangle)** - Composite crosses below the overbought level with adequate volume
**Exit Signals (when trend filter enabled):**
- **Long Exit** - Composite crosses below zero from positive territory
- **Short Exit** - Composite crosses above zero from negative territory
The indicator also provides alert conditions for automated notifications on these signal events.
Hyper MACDThe Hyper MACD is a customizable momentum indicator exclusively designed for Scalping that blends traditional MACD logic with dynamic signal coloring, overbought/oversold detection, and WaveTrend overlays. It supports multiple moving average types and highlights key momentum shifts with visual markers and alerts.
The settings/alerts are self explanatory and are optimized for quick scalping, works for any timeframe.
Suggested rules are.
The MACD line and Signal line must be above the zero line to scalp
The price begins do decay when the Signal turns from white to orange, however if both the lines are above zero line, then its still game to scalp but cautiously.
The colors are telling on both the lines, blue indicates a bullish surge on both and green on macd and white on signal suggests the bullish trend continuation
It also prints take profit arrows along the way, and also possible trend reversals.
Multi-Timeframe RSI (4x) z Podświetlaniem - PawełRSI z podświetleniem z różnych tfów z ustawianiem intensywnosci i kolorów.
CCI ±100 Price Deviation with SMA & VWAP Trend ColorIndicator Synopsis: CCI ±100 Price Deviation with SMA & VWAP
Purpose:
This indicator combines trend filtering, momentum smoothing, and dynamic price bands to help identify intraday trading opportunities. It’s designed for:
15-minute chart → trend identification
1–2 minute chart → precise entries based on dynamic bands
Components:
SMA of Typical Price (smaTP)
Smooth average of the current bar’s typical price (hlc3).
Acts as a dynamic midpoint for the ±100 deviation bands.
±100 Deviation Bands
Calculated using a modified CCI formula:
Upper = SMA TP + 0.015 × MAD × 100
Lower = SMA TP - 0.015 × MAD × 100
Works as dynamic support/resistance and potential reversal zones.
SMA of CCI length (scaled to price)
Smooths the CCI momentum signal to the price scale.
Acts as a confirmation filter for trade direction near bands.
Optional toggle and customizable color/line width.
VWAP (Volume Weighted Average Price)
Optional overlay with trend-based coloring:
Price above VWAP → bullish → green
Price below VWAP → bearish → red
Acts as primary trend filter.
How to Use the Indicator
Step 1: Determine Trend (15-minute chart)
Check VWAP trend:
Price > VWAP → bullish trend → only consider long trades
Price < VWAP → bearish trend → only consider short trades
Confirm with SMA TP slope:
Rising SMA → bullish bias
Falling SMA → bearish bias
This ensures you only trade in the direction of the intraday trend.
MACD FROM HELLthis is a double macd with 2 time frames macd 1 is chart macd 4 is 4X meaning the 1hr becomes the 4hr and it uses the histogram coloring for added detail ,, on top of that it has stochastic rsi Alerts set to trigger when k line goes above 99.9 or below 0.01 and exits ,, alert triggers on exit
Universal Sentiment Score — V3 Bottom DetectorThe Universal Sentiment Score (USS) condenses a wide range of market conditions into one easy-to-read oscillator. Instead of relying on a single signal, USS blends multiple forms of trend strength, momentum behavior, volatility shifts, and reversal conditions to generate a unified sentiment metric.
