Weighted CCI Oscillator [SeerQuant]Weighted CCI Oscillator (WCCI)
The Weighted CCI Oscillator (WCCI) is an enhanced CCI-style deviation oscillator that builds on the classic Commodity Channel Index framework by introducing adaptive weighting and configurable smoothing. By dynamically scaling deviation based on a selected market “weight” (Volume, Momentum, Volatility, or Reversion Factor), WCCI helps trend strength and regime shifts stand out more clearly, while still retaining the familiar CCI-style structure and ±200 extreme zones.
⚙️ How It Works
WCCI starts by calculating a baseline (your chosen moving average type) of the selected CCI source (Typical Price / HLC3, or a custom input source). It then measures how far price deviates from that baseline, and applies an adaptive weight to that deviation based on your selected weighting method.
The weighting is normalized for stability so it remains usable across different assets and changing regimes, then clamped to prevent abnormal spikes from distorting the oscillator. The weighted deviation is normalized by a weighted mean absolute deviation term (using the standard CCI constant k), producing a CCI-like oscillator that responds differently depending on the “state” of the market.
Trend logic is defined using a neutral zone around the 0 midline: bullish when WCCI holds above (0 + Neutral Zone), bearish when it holds below (0 - Neutral Zone), and neutral while it remains inside that band. A smoothed WCCI line is also provided for cleaner confirmation.
✨ Customizable Settings
WCCI is designed to be tuned without overcomplication. You can choose the CCI source mode (Typical Price / HLC3 or Input Source), set the calculation length, and apply smoothing using your preferred moving average type (SMA, EMA, RMA, HMA, DEMA, TEMA, etc.).
The weighting method is the key differentiator:
Volume weighting emphasizes participation and activity.
Momentum weighting emphasizes impulse and directional pressure.
Volatility weighting emphasizes expansion/contraction phases.
Reversion Factor weighting responds inversely to variance, biasing toward mean-reversion conditions.
On the style side, you can select a preset colour scheme (Default/Modern/Cool/Monochrome) or enable custom bull/bear/neutral colours. Candle coloring is optional, and you can choose whether candles follow the raw WCCI or the smoothed WCCI.
🚀 Features and Benefits
WCCI provides a CCI-style oscillator that adapts to market conditions instead of treating every regime the same. The weighting engine helps meaningful moves stand out when conditions justify it, while the neutral-zone framework reduces noise and improves readability compared to relying purely on midline flips. With flexible smoothing, clean state transitions, optional candle coloring, and clear ±200 extreme markers, WCCI works well as a trend filter, confirmation layer, or regime signal alongside other systems.
📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
Oscillateurs
AURIX SMC AURIX SMC is a professional indicator based on the Smart Money Concept, specifically designed for trading Gold (XAUUSD).
Features of the indicator:
• BOS (Break of Structure) and CHoCH (Change of Character)
• High-precision Buy and Sell signals
• Smart trend filtering
• No Repaint
• Suitable for Prop Firm accounts
Recommended Timeframes:
M1 – M5 – M15 – M30
Market:
XAUUSD (Gold)
Note: This is an Invite-Only indicator.
To subscribe, contact me.
Supercharged MA Momentum Oscillator (v6,Secondary Levels)Supercharged MA Momentum Oscillator (Dots on Line)
Description:
The Supercharged MA Momentum Oscillator is a trend and momentum-based tool designed to highlight short-term market momentum relative to a moving average. It provides a visual way to identify potential entry and exit points using a combination of smoothed momentum, ATR-based thresholds, and upper/lower momentum levels.
Key Features:
Smooth momentum line derived from a moving average slope.
Opposite momentum line for contrarian signals.
ATR-based thresholds to detect meaningful momentum shifts.
Upper and lower momentum levels for stronger confirmation of overbought/oversold conditions.
Buy/sell dots plotted on the momentum line to highlight potential trade opportunities.
Customizable inputs for moving average length, smoothing, ATR period, and thresholds.
How to Use:
Momentum Interpretation:
Blue Line (Momentum): Represents the primary momentum.
Orange Line (Opposite Momentum): Represents the inverse momentum for contrarian observation.
Thresholds & Levels:
Green/Red Lines (ATR Thresholds): Define minor trigger zones for potential momentum changes.
Yellow Dashed Lines (Upper/Lower Levels): Define major momentum levels; stronger signals occur when momentum crosses these.
Trade Signals:
Buy Signal (Green Dot): Momentum crosses above both the ATR long threshold and the upper momentum level.
Sell Signal (Red Dot): Momentum crosses below both the ATR short threshold and the lower momentum level.
Dots appear directly on the momentum line to easily visualize trade triggers.
Customization:
Adjust the MA Length and Smoothing to fit the timeframe and asset volatility.
Modify ATR Length and Threshold Factor to fine-tune sensitivity.
Change Upper/Lower Momentum Levels to capture stronger or weaker signals.
Tips:
Best used in combination with trend analysis or other technical indicators for confirmation.
Ideal for spotting momentum reversals or identifying potential breakout entries.
Works on multiple timeframes — shorter timeframes will show more frequent signals, longer timeframes filter noise.
Note:
This indicator is for educational and informational purposes. Always use proper risk management and confirm signals with other analysis before executing trades.
RSI [Hash Capital Research]RSI is a visually enhanced momentum indicator built on the classic Relative Strength Index.
This version expands RSI into a more flexible analytical tool through smoothing options, adaptive zone-based coloring, optional signal line overlays, and divergence detection.
It is designed as a context-building indicator, not a standalone entry system.
What This Indicator Does
This script calculates a smoothed RSI using user-defined parameters and then provides multiple optional enhancements:
1. Adaptive RSI Visualization
The core RSI is plotted with:
Zone-based color changes (neutral, oversold, overbought)
Optional glow effects to emphasize extreme conditions
User-defined color intensity and midline visibility
The goal is to provide clearer visual segmentation of trend strength and momentum behavior.
2. Custom Smoothing & Signal Line Options
The indicator allows:
Multi-layer smoothing for RSI stability
An optional signal line using the trader’s preferred moving-average method (SMA, EMA, SMMA/RMA, WMA, VWMA)
This helps operators examine whether momentum is accelerating or stabilizing relative to its mean.
3. Overbought/Oversold Tools
User-defined thresholds determine:
Highlighted zones
Optional markers for extreme reversals (based on RSI + momentum + velocity criteria)
Midline (50) cross highlights for trend-bias transitions
These features help contextualize where the RSI sits relative to broader momentum regimes.
4. Divergence Detection (Optional)
When enabled, the script scans for regular bullish and bearish divergences using pivot-based structure.
It compares:
Price making lower lows vs RSI making higher lows (bullish)
Price making higher highs vs RSI making lower highs (bearish)
Detected divergences are plotted on the RSI panel with visual labels.
This detection uses pivot lookbacks and range limits defined by the user.
5. Alerts
The indicator provides optional alerts for:
Extreme reversals
Overbought/oversold momentum shifts
Midline (50) crossovers
Bullish / bearish divergences
Alerts are intended for monitoring, not for automated execution.
How to Use It
This RSI modification is intended to support broader analysis workflows, including:
Identifying regime shifts using midline crosses
Monitoring momentum structure across trend phases
Highlighting oversold or overbought clustering
Adding a visual signal line to interpret momentum smoothing
Spotting divergence between price and RSI
As with all indicators, this tool should be used as one component of a complete analysis framework.
What Makes This Version Distinct
This script maintains the core behavior of RSI but introduces:
A multi-layer smoothing system
Adaptive colors calibrated to oversold/neutral/overbought zones
Optional glow visualizations
A modular signal-line engine with multiple MA types
Configurable divergence detection with visual labels
Multiple marker placement modes for extreme conditions
These features expand RSI’s readability while keeping its underlying logic transparent and consistent with common operator workflows.
Important Notes
This is an indicator, not a strategy. It does not execute trades or calculate performance metrics.
The visual enhancements are designed to improve clarity, not to generate automated “buy” or “sell” systems.
Divergence detection is optional because divergence is inherently contextual and may not apply equally across all markets or timeframes.
Smart Fear & Greed Index [MarkitTick]💡 This comprehensive technical tool is designed to quantify market sentiment on an asset-specific basis, translating complex price action into a singular, normalized gauge of "Fear" and "Greed." While traditional Fear & Greed indices rely on macro-economic data (like put/call ratios or junk bond demand) generally applied to the broad S&P 500, this script calculates a localized index for the specific chart you are viewing. It synthesizes Momentum, Volatility, Volume, and Price Positioning into a bounded 0-100 oscillator, aiming to identify psychological extremes where market reversals are statistically more likely to occur.
✨ Originality and Utility
● Asset-Specific Sentiment Analysis
Most sentiment tools are external to the chart (e.g., news sentiment or broad market indices). The Smart Fear & Greed Index is unique because it internalizes this logic, creating a bespoke psychological profile for any ticker—whether it is Crypto, Forex, or Stocks. It allows traders to see if *this specific asset* is overheated (Greed) or oversold (Fear) relative to its own recent history.
● The "Buy the Fear, Sell the Greed" Logic
The script employs a contrarian color-coding philosophy aligned with the famous investment adage: "Be fearful when others are greedy, and greedy when others are fearful."
When the indicator shows Fear (Low values), it colors the zone Green, signaling a potential buying opportunity (discount).
When the indicator shows Greed (High values), it colors the zone Red, signaling potential downside risk (premium).
● Integrated Divergence Detection
Unlike standard oscillators that leave interpretation entirely to the user, this tool includes an automated divergence engine. It detects discrepancies between the sentiment index and price action, plotting lines and labels to highlight potential exhaustion points before they become obvious on the price chart.
🔬 Methodology and Concepts
The calculation is driven by a custom User-Defined Type (UDT) called QuantEngine , which aggregates four distinct technical "pillars" to form the final Composite Index.
• Pillar 1: Momentum (RSI)
The engine utilizes the Relative Strength Index to measure the velocity and magnitude of directional price movements. High momentum contributes to the "Greed" score, while collapsing momentum contributes to "Fear."
• Pillar 2: Volatility (Inverted Normalized ATR)
This component interprets volatility through a psychological lens.
Low Volatility is interpreted as complacency or "Greed" (steady uptrends often have low vol).
High Volatility is interpreted as "Fear" (panic selling and erratic ranges often spike volatility).
The script normalizes the Average True Range (ATR) and inverts it so that stability adds to the score, and instability subtracts from it.
• Pillar 3: Volume Strength
Volume is analyzed relative to its moving average. However, raw volume isn't enough; the engine applies directional logic.
High relative volume on an Up-Close adds to the Greed score.
High relative volume on a Down-Close subtracts, adding to the Fear score.
• Pillar 4: Price Position (Stochastic)
This calculates where the current close sits relative to the recent High-Low range. Closing near the highs indicates confidence (Greed), while closing near the lows indicates pessimism (Fear).
• The Composite & Smoothing
These four metrics are averaged to create a raw composite, which is then smoothed via an Exponential Moving Average (EMA) to filter out noise and produce the final, readable "Smart Fear & Greed" line.
🎨 Visual Guide
● The Oscillator Line
This is the primary fluctuating line that moves between 0 and 100.
Values > 50 suggest positive sentiment.
Values < 50 suggest negative sentiment.
● Color-Coded Zones
The plot changes color dynamically to reflect the psychological state:
Red (70-100): Extreme Greed. The market may be irrationally exuberant.
Orange (60-70): Greed. Strong bullish conviction.
Yellow (40-60): Neutral. Indecisive or transitionary market.
Light Green (30-40): Fear. Sentiment is turning bearish.
Bright Green (0-30): Extreme Fear. Panic selling, often a precursor to a value bounce.
● Background Highlights
A semi-transparent Red Background appears when the index breaches 75, warning of a potential "Top."
A semi-transparent Green Background appears when the index drops below 25, highlighting a potential "Bottom."
● Divergence Elements
Red Lines/Labels ("Bear"): Bearish Divergence. Price makes a Higher High, but the Index makes a Lower High. This suggests momentum is waning despite rising prices.
Green Lines/Labels ("Bull"): Bullish Divergence. Price makes a Lower Low, but the Index makes a Higher Low. This suggests selling pressure is drying up.
📖 How to Use
• Identifying Reversals
Wait for the oscillator to enter "Extreme" zones. Do not trade immediately upon entry; wait for the line to exit the extreme zone to confirm the reversal. For example, if the line hits 80 (Red) and then crosses back down below 70, it signals that Greed is fading.
• Trend Continuation
In a strong trend, the indicator may hover in the Greed (Orange) or Fear (Light Green) zones for extended periods. In these cases, use the Neutral (Yellow) zone crosses as re-entry signals in the direction of the trend.
• Divergence Confirmation
Use the automated divergence lines as high-conviction triggers. If the background turns Green (Extreme Fear) AND a Bullish Divergence label appears, it provides a stronger technical case for a long position than the zone alone.
⚙️ Inputs and Settings
● Calculation Settings
Global Lookback Period (Default: 21): The core lookback window for RSI, ATR, Volume, and Stochastic calculations. Increasing this makes the index slower and less reactive; decreasing it makes it faster.
Smoothing Length (Default: 5): Determines how smooth the final line is. Higher numbers reduce "whipsaws" but add lag.
Color Main Chart Candles : Colors the chart bars based on Fear/Greed sentiment.
● Divergence Settings
Divergence Lookback (Default: 5): Determines the pivot strength required to register a high or low for divergence checks.
Show Divergence Lines/Labels: Toggles to hide visual clutter if you only want to see the oscillator.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Normalization Theory
The core scientific principle here is Min-Max Normalization. The script takes heterogeneous data types—Price (Dollars/Cents), Volume (Shares/Contracts), and Volatility (Points)—and standardizes them into a unit-less distribution between 0 and 100. This allows for the summation of disparate market forces into a single vector.
● Mean Reversion and Oscillator Bounds
The indicator relies on the statistical concept of Mean Reversion. Markets, like elastic bands, can only stretch so far from their average valuation (represented by the 50 line) before snapping back. The "Extreme" zones (Upper and Lower deciles) represent areas of statistical improbability where the likelihood of a continuation decreases and the likelihood of a reversion increases.
● Divergence and Momentum Theory
The divergence logic is grounded in the principle that momentum precedes price. Mathematically, price is the integral of velocity. When the derivative (momentum/sentiment) approaches zero or reverses while the function (price) continues, it signals a non-sustainable anomaly in the data series, often resolved by a price correction.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Unreached Highs/Lows Oscillator [LuxAlgo]The Unreached Highs/Lows Oscillator highlights the amount of unreached high/low prices as a percentage over time, helping visualize trend strength and momentum from bullish and bearish market participants.
🔶 USAGE
This indicator measures the strength of directional price movements, helping traders visualize the strength of both the bullish and bearish market participants.
When prices are moving up with strength, the price structure will not come back to retest previous lows. Therefore, unreached lows keep adding up.
When prices are moving down with strength, they will not retest previous highs; therefore, unreached highs keep adding up.
As we can see on the chart, high readings of unreached highs (red) and low readings of unreached lows (green) are considered bearish, and a downtrend in price confirms this bias. Conversely, high readings of unreached lows and low readings of unreached highs are considered bullish. On the chart, this is reflected as an uptrend.
Additionally, the oscillator can reveal significant breakouts on the chart, with unreached highs or lows decreasing rapidly indicating that a large number of highs/lows have been reached.
Due to the oscillator being normalized, overbought and oversold levels are included.
In this gold chart, we have different examples of how to use the tool in conjunction with price behavior to understand the market. Let's dissect it step by step:
1. Uptrend: Bullish readings are above 80, and bearish readings are below 20. The market is trending up.
2. Range: Mixed readings around 50 for both bullish and bearish; the market is ranging.
3. Uptrend: The same as before. Bullish above 80 and bearish below 20.
4. Pullback: A bullish dip below 80 to 50 and a bearish reading below 20 indicates a pullback.
5. Range: Mixed readings. In this case, it is bullish above and below 80 and bearish above and below 20. The market is ranging.
6. Uptrend: Bullish above 80 and bearish below 20; the market keeps moving up.
7. Pullback: Bullish dips below 80 and bearish rises to 50 indicate a pullback.
8. Uptrend: As before, bullish is above 80 and bearish is below 20; the market is trending up.
This Bitcoin chart shows how to use extreme readings of 0 and 100 to detect potential reversals. When both readings are at extreme opposites, we set the threshold level at 100 and 0 instead of the default levels of 80 and 20 to better identify these areas.
As we can see, extreme readings at points 1 and 5 identify major reversals that lead to a change in trend. Extreme readings at points 2, 3, 4, and 6 identify minor reversals that do not lead to a change in trend.
From the settings panel, traders can adjust the length parameter. A smaller value measures smaller price movements, while a larger value measures larger price movements. A length value of 20 is used by default.
The chart shows how different values affect bullish and bearish measures.
🔶 SETTINGS
Length: Select the maximum number of highs and lows to be used.
🔹 Style
Bullish: Select a color for unreached lows.
Bearish: Select a color for unreached highs.
Top Threshold: Select the top threshold level and color. Enable the Auto feature to choose the default color.
Bottom Threshold: Select the bottom threshold level and color. Enable the Auto feature to choose the default color.
RSI Sigmoid (Saturation)# 📊 RSI Sigmoid (Saturation) Indicator
---
## 🎯 What Does This Indicator Do?
This indicator transforms the traditional **RSI (Relative Strength Index)** using a **sigmoid function**, creating a mathematically "saturated" version that provides smoother, more controlled momentum signals.
---
## ✨ Key Features
### 🌊 **Saturation Effect**
Unlike standard RSI which oscillates wildly between 0-100, this version uses a **hyperbolic tangent function** to compress extreme values:
- 🔴 **Extreme readings** (very high/low) are dampened → pushed toward saturation zones (10 & 90)
- 🟡 **Middle range** (30-70) remains responsive and dynamic
- 🟢 **Sharp spikes** are smoothed while maintaining trend direction
### 👁️ **Dual Visualization**
- **🔵 Blue Line**: RSI Sigmoid (Saturated) - Your primary signal
- **🟠 Orange Circles**: Traditional RSI - For comparison
- **🟣 Purple Area**: Difference plot showing transformation intensity
### 🎯 **Smart Signals**
- **▲ Green Triangle**: Buy Signal when RSI Sigmoid crosses **above 50**
- **▼ Red Triangle**: Sell Signal when RSI Sigmoid crosses **below 50**
- **🎨 Background Colors**: Highlight oversold, overbought, and saturation zones
---
## ⚙️ How to Use
### 📐 **RSI Period** (Default: 50)
```
Higher Values (70-100) → Smoother, slower, fewer signals
Lower Values (14-30) → More responsive, more signals, noisier
```
### 🎚️ **Sigmoid Coefficient** (Default: 0.5)
```
Low (0.1-0.2) → Gentle saturation, closer to standard RSI
Medium (0.25) → Balanced transformation
High (0.3-0.5) → Aggressive saturation, strong dampening
```
### 📍 **Oversold/Overbought Levels**
Customize based on your:
- Trading timeframe (1m, 5m, 1h, 1D, etc.)
- Asset volatility
- Trading style (scalping, swing, position)
---
## 🔍 What to Watch For
| Signal | Meaning | Action |
|--------|---------|--------|
| 🟢 **Cross Above 50** | Bullish momentum shift | Consider long positions |
| 🔴 **Cross Below 50** | Bearish momentum shift | Consider short positions |
| ⚡ **Saturation < 10** | Extreme oversold | Potential reversal up |
| 🔥 **Saturation > 90** | Extreme overbought | Potential reversal down |
| 🟣 **Large Difference** | High transformation intensity | Strong momentum dampening |
---
## 💡 Trading Tips
✅ **DO:**
- Use multiple timeframes for confirmation
- Combine with support/resistance levels
- Apply proper risk management (stop-loss, position sizing)
- Backtest settings on your specific asset
- Watch for divergences between price and indicator
❌ **DON'T:**
- Rely solely on this indicator
- Ignore market context and fundamentals
- Over-leverage based on signals
- Use default settings without testing
- Trade without a clear strategy
---
## ⚠️ IMPORTANT DISCLAIMERS
### 🚨 **NOT Financial Advice**
This indicator is provided for **educational and informational purposes only**. It does not constitute financial, investment, or trading advice.
### 🛡️ **Risk Warning**
- ❌ **No guarantee of profits** - Past performance ≠ future results
- ❌ **Do not rely on this alone** - Always use multiple analysis methods
- ❌ **Markets are unpredictable** - No indicator can predict with certainty
- ❌ **You can lose money** - Never risk more than you can afford to lose
### 🎛️ **Customization Required**
All settings are **user-configurable** for a reason:
- Default values may NOT suit your strategy
- Different assets require different parameters
- Always backtest before live trading
- Adjust based on your timeframe and risk tolerance
### 📜 **Your Responsibility**
- ✓ You are responsible for your own trading decisions
- ✓ Always do your own research (DYOR)
- ✓ Understand the risks before trading
- ✓ Consider consulting a licensed financial advisor
---
## 📋 Quick Settings Guide
| Trading Style | RSI Period | Sigmoid K | Notes |
|---------------|------------|-----------|-------|
| **Scalping** | 14-21 | 0.3-0.4 | Fast signals, higher noise |
| **Day Trading** | 30-50 | 0.4-0.5 | Balanced responsiveness |
| **Swing Trading** | 50-70 | 0.5 | Smoother, fewer false signals |
| **Position Trading** | 70-100 | 0.5 | Very smooth, major trends only |
---
## 🏷️ License & Liability
**Use at your own risk.** The creator assumes **no liability** for any trading losses, damages, or consequences resulting from the use of this indicator.
---
### 🤝 Happy Trading & Stay Safe! 📈
*Remember: The best indicator is your own knowledge and discipline.*
Sri - Indian Sector-Based MACD 📊 Sri – Indian Sector-Based MACD (Closed Source)
Sri – Indian Sector-Based MACD is a sector-relative momentum framework for Indian equities that replaces traditional stock-based MACD with a dynamic sector-index MACD engine.
Unlike standard MACD indicators that calculate momentum directly from the chart symbol, this script introduces a sector-first analytical layer, allowing traders to evaluate whether a stock’s movement is supported by its parent sector’s trend strength.
🔬 What Makes This Indicator Original
1️⃣ Automatic Sector Intelligence Engine
The script uses a rule-based NSE stock-to-sector classification system covering Banking, Finance, IT, FMCG, Pharma, Auto, Metal, Energy, Infra, Realty, Defence, Telecom, Transportation, and more.
Each listed NSE stock is mapped in real time to its corresponding official NSE sector index, creating a contextual trading environment rather than an isolated price signal.
This sector-mapping logic and index-selection flow is custom-built and proprietary, which is why the source is protected.
2️⃣ Sector-Index MACD (Not Stock MACD)
Instead of applying MACD to the chart symbol:
The indicator fetches live sector-index data
Calculates Fast MA – Slow MA on the sector index
Generates MACD, Signal, and Histogram behavior derived from sector momentum
This allows traders to answer a critical question:
“Is this stock moving WITH its sector or AGAINST it?”
This structural shift—from stock-centric to sector-centric MACD—is the core originality of the script.
3️⃣ Adaptive Multi-Timeframe MACD Logic
The indicator uses an automatic timeframe translation model:
Intraday charts dynamically reference higher-timeframe sector data
Daily, weekly, and monthly charts maintain time-consistent sector momentum
Prevents noise caused by mismatched timeframes between stocks and indices
This adaptive logic is not part of standard MACD implementations.
4️⃣ Controlled Sensitivity & Structural Smoothing
To suit different market regimes, the script includes:
Sensitivity scaling of MACD output
Zero-line offset adjustment
Optional smoothed EMA of sector MACD for trend structure clarity
These controls allow traders to tune sector momentum strength, not just direction.
5️⃣ Manual Override for Advanced Users
While sector detection is automatic, users can manually override the sector index and apply the MACD engine to:
Any NSE index
Custom symbols
Macro or inter-market studies
This makes the indicator usable beyond predefined sector logic.
6️⃣ Visual Confirmation Layer
Filled MACD vs Signal zones highlight sector acceleration vs deceleration
A compact table confirms the active sector context on the chart
Color-coded background indicates whether sector detection is valid
🎯 How Traders Should Use This Indicator
This script is not a buy/sell signal generator.
It is intended for:
Trend confirmation
Sector alignment filtering
Avoiding trades against weak or reversing sectors
Sector rotation and relative strength analysis
Best used alongside:
Price action
Volume analysis
Stock-level indicators
⚠️ Important Notes
Designed for Indian NSE equities
Sector mappings are rule-based and maintained internally
Closed-source to protect custom sector-index MACD architecture
HoneG_CCIv19HoneG_CCIv19
This is a signal tool capable of both counter-trend and trend-following trading. Apply it to 1-minute charts.
For trend-following, it features a rapid-fire mode. When conditions align, rapid-fire mode activates, and two indicators signaling the rapid-fire timing will turn ON/OFF in sync with price extension moments.
逆張りも順張りも出来るサインツールです。１分足チャートに適用してください。
順張りには連打モードがあり、条件が揃うと連打モードが発動し、連打タイミングを知らせる二か所の表示が、価格が伸びるタイミングに合わせてON/OFFします。
BreakPoint Pro - Market Structure Shifts BreakPoint Pro - Market Structure Shifts
BreakPoint Pro identifies meaningful structural breaks in price action by tracking swing highs and lows, detecting directional shifts, and optionally requiring a break-and-retest confirmation before signaling.
To reduce noise and overtrading, BreakPoint Pro integrates:
- Trend and momentum filters
- Signal cooldown logic
- Adaptive ATR-based risk visualization
- Multi-timeframe structural context
The result is a clean, structured framework that helps traders align entries with both local structure and higher-timeframe bias, while maintaining consistent risk parameters.
NQ 1m Chart Short Signal & TP Hit
This indicator is not a strategy and does not auto-execute trades. It is intended as a decision-support tool for discretionary traders who understand structure, trend alignment, and risk management.
BreakPoint Pro identifies meaningful structural breaks in price action by tracking swing highs and lows, detecting directional shifts, and optionally requiring a break-and-retest confirmation before signaling.
BTC 4h Chart Short Signal Close to TP
✨ Key Features (At a Glance)
- Market Structure Shift (MSS) detection
- Optional break + retest confirmation
- EMA trend filter
- RSI momentum filter
- Cooldown system to prevent signal clustering
- ATR-based Stop Loss & Take Profit visualization
- Dynamic Risk/Reward calculation
- Higher-Timeframe (HTF) structure dashboard
- Fully customizable visuals (SL/TP lines, opacity, styles)
ETH 1h Chart - Showing current potential short trade in play, but also older potential trades as well with background color grading and structure high/low levels
🔍 In-Depth Feature Overview
1. Market Structure Detection
BreakPoint continuously tracks recent swing highs and swing lows to determine when price breaks previous structure.
A structure shift is only confirmed when price closes beyond a prior swing, helping filter out wicks and false breaks.
The indicator maintains a structure state:
- Bullish
- Bearish
- Neutral
This state governs signal eligibility and background context.
2. Break + Retest Logic (Optional)
When enabled, BreakPoint requires:
- A confirmed break of structure
- A controlled retest within an ATR-based tolerance
- A continuation close in the break direction
This helps avoid chasing impulsive moves and favors acceptance over reaction.
Retest sensitivity can be fine-tuned using the ATR tolerance multiplier.
3. Trend & Momentum Filters
To improve signal quality, BreakPoint supports optional filters:
EMA Filter
- Long signals only above the EMA
- Short signals only below the EMA
RSI Filter
- Longs require RSI above a configurable midline
- Shorts require RSI below it
Filters can be used independently or combined for stricter confirmation.
4. Cooldown Protection
After a signal triggers, BreakPoint enforces a cooldown period before allowing another signal.
This prevents rapid flip-flopping in choppy conditions and encourages patience and structure clarity.
5. ATR-Based Risk Visualization
Upon a valid signal, BreakPoint automatically plots:
- Stop Loss (SL)
- Take Profit (TP)
Using:
- ATR-based distance
- Configurable Risk/Reward ratio
- Direction-aware placement
All SL/TP lines and labels are purely visual aids and can be customized or disabled depending on your workflow.
6. Higher-Timeframe Structure Dashboard
BreakPoint dynamically evaluates structure on three higher timeframes relative to your current chart.
A compact table displays:
- Timeframe
- Bullish / Bearish / Neutral structure
- Current trade direction
- SL, TP, and live R:R values
This helps traders quickly assess top-down alignment without switching charts.
DXY- USD Index 1h Chart Short with TP hit
🛠️ Settings Review:
Core Structure
- Swing Length – Controls sensitivity of swing detection
- Require Break + Retest – Enables retest confirmation logic
- Retest ATR Tolerance – Defines acceptable retest range
Filters
- Use EMA Filter / EMA Length
- Use RSI Filter / RSI Length / RSI Midline
Signal Management
- Cooldown Bars After Signal – Minimum bars between signals
Risk Visualization
- Use ATR-based Stop Loss
- ATR Stop Loss Multiplier
- Use ATR-based Take Profit
- Risk/Reward Ratio
Visual Customization
- SL/TP colors
- Line styles (solid, dashed, dotted)
- Line widths
- Opacity levels
HTF Display
- Show/Hide HTF structure box
- Table position on chart
DASH - Weekly Timeframe Long Trade hit TP
Best Practices & Tips
- Works best on liquid markets (indices, FX, majors, liquid crypto)
- Use HTF structure alignment for higher-confidence trades
Combine with:
Key levels
Session highs/lows
Supply & demand zones
- Increase swing length and enable filters on higher timeframes
- Avoid treating signals as standalone trade commands
BreakPoint excels as a structure confirmation tool, not a prediction engine.
SOL - 4hr Short
⚠️ Disclaimer:
BreakPoint Pro – Market Structure Shifts is a technical analysis tool designed to highlight potential market structure shifts. It provides visual signals and trade bias suggestions based on swing highs/lows, optional EMA/RSI filters, and break/retest logic. It does not guarantee profits and should not be considered financial advice.
Users are responsible for their own trades. Always perform your own analysis and manage risk appropriately. Use proper stop-losses and position sizing. Trading involves significant risk of loss, and past performance is not indicative of future results.
By using this indicator, you acknowledge that the author cannot be held liable for any trading losses or financial outcomes resulting from its use.
💳 If you'd like access or have any questions, visit our website or feel free to reach out to me directly via DM.
Secuencia estricta (pendiente) HMA->RSI BB"The code combines a 100-period HMA as the first condition, and an RSI smoothed by a Bollinger Band set to default parameters of 24 and 1 standard deviation. The first condition is that the price is above or below the HMA. The second condition is that the RSI moves above or below the Bollinger Bands. Depending on how the conditions align, the system takes either a short or a long position."
Gamma of Gamma - AnticipationGamma of Gamma — Anticipation Engine
What if you could detect market inflections before they become obvious? Not react to momentum — anticipate the momentum itself.
"Gamma here refers to mathematical acceleration (2nd derivative), NOT options Gamma"
Gamma of Gamma (GoG) operates one abstraction layer above conventional indicators. While RSI tells you what momentum did , GoG tells you what momentum is about to do . This is the difference between chasing price and positioning ahead of it.
Core Innovation: Traditional indicators measure first-order effects (price change) or second-order effects (momentum/acceleration). This system measures the third derivative — the rate of change of acceleration itself. When Gamma-of-Gamma reaches extremes, it signals that pressure dynamics are about to flip — often 2-5 bars before price visibly reacts.
Target Users: Discretionary traders, scalpers, and swing traders who want early positioning signals with statistical rigor. Effective on stocks, crypto, forex, and futures with meaningful volume data.
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WHY THIRD-DERIVATIVE ANALYSIS?
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The Hierarchy of Market Information
Most traders operate at the wrong level of abstraction:
• Price → What happened (lagging)
• Momentum → How fast it happened (still lagging)
• Gamma (2nd Derivative) → How momentum is changing (coincident)
• Gamma of Gamma (3rd Derivative) → How FAST that change is changing ( leading )
The third derivative captures inflection acceleration — the mathematical signature of regime transition. When GoG reaches extreme values, the market is telegraphing that current pressure dynamics are unsustainable.
Why This Beats RSI
RSI measures momentum magnitude. GoG measures momentum trajectory .
Consider this scenario: RSI reads 70 (overbought). Is the move exhausted or just getting started? RSI cannot tell you. GoG can — because it measures whether buying pressure is accelerating into the high RSI reading (continuation likely) or decelerating despite high RSI (reversal imminent).
RSI answers: "How strong was the move?"
GoG answers: "Is the move strengthening or weakening right now ?"
The first is historical. The second is predictive.
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MATHEMATICAL FOUNDATION
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Layer 1: Cumulative Volume Delta (CVD)
The foundation is order flow approximation:
• Up bar (close > prior close): Volume classified as buying pressure
• Down bar (close < prior close): Volume classified as selling pressure
• CVD = Running sum of signed volume
Interpretation: Rising CVD indicates net aggressive buying. Falling CVD indicates net aggressive selling. CVD divergence from price often precedes reversals.
Layer 2: Gamma (Second Derivative)
Gamma measures acceleration of order flow:
Formula: Gamma = CVD - 2×CVD + CVD
This is the discrete second derivative — the rate of change of the rate of change. When Gamma spikes positive, buying pressure is accelerating . When Gamma spikes negative, selling pressure is accelerating.
Layer 3: Gamma of Gamma (Third Derivative)
GoG measures jerk — the acceleration of acceleration:
Formula: GoG = Gamma - 2×Gamma + Gamma
Critical insight: Extreme GoG readings indicate that current pressure dynamics are reaching an inflection point. The system is "overextended" in its current trajectory and will likely revert or reverse.
Layer 4: Z-Score Normalization
Raw GoG values are normalized against their 50-period distribution:
Formula: GoG_Z = (GoG - Mean_50) / StdDev_50
Benefit: Z-scores are regime-adaptive. A "2.0" reading always means "2 standard deviations from normal" regardless of whether you're trading a penny stock or ES futures. This makes thresholds consistent across instruments and timeframes.
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SIGNAL GENERATION LOGIC
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Long Signal (Bullish Anticipation)
Triggers when:
• GoG Z-score < -Threshold (default -2.0)
• Volume > Average Volume × Minimum Multiple (default 1.2×)
Interpretation: Selling pressure acceleration has reached an extreme negative reading. The selling is "exhausting itself" — acceleration is peaking and will soon decelerate. Buyers are likely to step in.
Short Signal (Bearish Anticipation)
Triggers when:
• GoG Z-score > +Threshold (default +2.0)
• Volume > Average Volume × Minimum Multiple (default 1.2×)
Interpretation: Buying pressure acceleration has reached an extreme positive reading. The buying is "exhausting itself" — often occurs at blow-off tops, failed breakouts, or momentum climaxes.
Why Volume Confirmation?
Gamma acceleration in thin liquidity is meaningless noise. The volume filter ensures signals occur only when meaningful participation backs the pressure dynamics. This dramatically reduces false signals during low-activity periods.
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CONFIDENCE ENGINE
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Not all signals are equal. The Confidence Engine quantifies signal strength:
Confidence Calculation:
Confidence = 50 + ((|Z-Score| - Threshold) / Threshold) × 100
Capped at 100%
Visual Representation:
• Small orb = Low confidence (50-65%)
• Normal orb = Medium confidence (65-80%)
• Large orb = High confidence (80-100%)
Orb transparency also adjusts — high-confidence signals appear brighter and more prominent. This creates intuitive visual hierarchy where stronger signals demand more attention.
Practical Use:
• High confidence (>80%): Consider larger position size, tighter stops
• Medium confidence (50-80%): Standard position size
• Low confidence (<50%): Reduced size or wait for confirmation
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INTEGRATED BACKTESTER
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Every signal system needs accountability. The onboard backtester provides real-time performance tracking:
Core Metrics:
• Total Trades
• Win Rate
• Profit Factor
• Expectancy (average P&L per trade)
• Net P&L
• Max Drawdown
• Average Win / Average Loss
Methodology:
• Positions held for configurable bar count (default 10 bars)
• Forces objective evaluation independent of discretionary exits
• Updates in real-time as new trades complete
Optimizer Mode:
Enable for parameter tuning research:
• Stability Score (0-100 points): Composite evaluation of parameter robustness
• Trade Density : Signals per 1000 bars — monitors over/under-trading
• Parameter Display : Current settings for documentation
• Robustness Rating : ROBUST / STABLE / FRAGILE / OVERFIT
Stability Scoring Breakdown:
• Win Rate ≥55%: +25 points | ≥50%: +15 points | ≥45%: +5 points
• Expectancy >0.5%: +25 points | >0.1%: +15 points | >0%: +5 points
• Total Trades ≥30: +25 points | ≥20: +15 points | ≥10: +5 points
• Profit Factor ≥1.5: +25 points | ≥1.2: +15 points | ≥1.0: +5 points
Target: 60+ points indicates stable parameters. Below 40 suggests overfitting risk.
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CHART EXECUTION SIGNALS
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Unique feature: Entry and exit markers display directly on the price chart via force_overlay, even though the indicator runs in a separate pane.
Visual Markers:
• ▲ Green Triangle (below bar): Long entry at exact price level
• ▼ Red Triangle (above bar): Short entry at exact price level
• ✕ Gold X-Cross : Position exit after hold period
Benefit: Immediate visual correlation between GoG signals and price action. Review historical trades without switching between panes.
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DUAL DASHBOARD SYSTEM
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Main Dashboard — Real-Time State
Displays:
• Current GoG regime (EXTREME HIGH / EXTREME LOW / NEUTRAL)
• GoG Z-Score (numerical)
• Raw GoG value
• Gamma value
• CVD (Cumulative Volume Delta)
• Volume status (Active/Low with ratio)
• Signal state (Scanning / Long Signal / Short Signal / In Position)
• Confidence meter with visual bar
• Entry price when in position
Backtest Dashboard — Performance Metrics
Displays all backtester metrics in compact format. Switches to Optimizer view when Optimizer Mode enabled.
Both dashboards feature:
• Configurable position (6 locations including Middle Left/Right)
• Adjustable text size (Tiny/Small/Normal/Large)
• Transparency control for visual integration
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PARAMETER GUIDE
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Calculation Settings
• GoG Extreme Threshold (default 2.0): Z-score level for signal generation. Higher = fewer but stronger signals. Range: 0.5-5.0
• Gamma Smoothing (default 3): SMA period for Gamma. Lower = more responsive, more noise. Higher = smoother, more lag. Range: 1-20
• GoG Smoothing (default 5): SMA period for GoG. Filters micro-spikes while preserving structural inflections. Range: 1-20
• Min Volume Multiple (default 1.2): Volume must exceed this multiple of 20-period average. Ensures signals have participation backing. Range: 0.5-3.0
Backtester Settings
• Backtest Hold Bars (default 10): Forced holding period for backtester evaluation. Adjust based on timeframe and trading style.
• Parameter Optimizer Mode : Enables extended metrics for tuning research.
Tuning by Timeframe
Scalping (1-5 min):
Threshold: 1.5-2.0 | Gamma Smooth: 2-3 | GoG Smooth: 3-4 | Hold: 5-8 bars
Day Trading (15-60 min):
Threshold: 2.0-2.5 | Gamma Smooth: 3-5 | GoG Smooth: 5-7 | Hold: 8-12 bars
Swing Trading (4H-Daily):
Threshold: 2.5-3.0 | Gamma Smooth: 5-7 | GoG Smooth: 7-10 | Hold: 10-15 bars
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HOW TO USE: PRACTICAL WORKFLOW
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Step 1: Identify Regime
Watch the GoG Z-score line. Most of the time it oscillates within the neutral zone (between thresholds). This is "scanning" mode — no actionable signal.
Step 2: Wait for Extreme
When Z-score crosses threshold AND volume confirms, a signal fires. The orb appears in the indicator pane; the triangle appears on price chart.
Step 3: Assess Confidence
Check orb size and dashboard confidence reading:
• Large bright orb + 80%+ confidence = High conviction setup
• Small faint orb + <60% confidence = Requires additional confirmation
Step 4: Execute with Context
GoG signals anticipate — they don't confirm. Use price structure (support/resistance), higher timeframe trend, or other confirmation before entry.
Step 5: Manage Position
Exit markers show backtester exits. For live trading, consider:
• Time-based exit (signal's hold period)
• Opposite signal exit
• Fixed R:R targets
Step 6: Review Performance
Check Backtest Dashboard regularly. If Win Rate drops below 45% or Expectancy goes negative, reassess parameters or market conditions.
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WHAT THIS INDICATOR IS — AND ISN'T
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This Indicator IS:
✅ State-transition detector (balance → imbalance)
✅ Early warning system for momentum shifts
✅ Anticipation tool for pre-positioning
✅ Statistical framework with built-in accountability
This Indicator IS NOT:
❌ Mechanical buy/sell system (requires discretion)
❌ Trend-following indicator
❌ Reversal-only indicator
❌ Replacement for risk management
Best Use Cases:
• Detecting early reversals before obvious confirmation
• Anticipating breakouts during volatility compression
• Timing pullback entries in established trends
• Identifying exhaustion at momentum climaxes
Challenging Conditions:
• Extremely low volume environments
• News-driven gaps (no order flow to measure)
• Instruments with unreliable volume data
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ORIGINALITY STATEMENT
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Innovation 1: Third-Derivative Order Flow Analysis
While first and second derivatives are common, applying third-derivative (jerk) analysis to cumulative volume delta is novel. This captures inflection points that lower-order analysis misses entirely.
Innovation 2: Z-Score Adaptive Thresholds
Rather than fixed thresholds that require per-instrument tuning, z-score normalization creates self-adapting signal levels that work consistently across any liquid instrument.
Innovation 3: Confidence-Weighted Visual System
Dynamic orb sizing and transparency based on signal strength provides intuitive visual hierarchy. Stronger signals literally appear larger and brighter.
Innovation 4: Integrated Accountability
Built-in backtester with optimizer mode enables parameter validation directly on chart. No external tools or spreadsheets required.
Innovation 5: Dual-Pane Execution Visualization
Force-overlay chart signals bridge the gap between indicator pane and price action, enabling immediate visual trade review.
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LIMITATIONS & DISCLAIMERS
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Technical Limitations
• Volume classification uses bar direction (close vs prior close), not tick-level aggressor data. Precision loss estimated 10-15% vs institutional-grade data.
• CVD approximation assumes volume follows price direction. Works well in trending conditions; less precise in choppy markets.
• Backtester uses fixed hold period, not optimal exit logic. Real performance may vary with proper trade management.
Market Limitations
• Requires meaningful volume data. Avoid instruments with reported volume issues.
• Signals may cluster during high-volatility events. Not every signal should be traded.
• Anticipation signals appear early by design. Patience required — price may continue against signal briefly before reversing.
Risk Disclosure
• Trading involves risk of loss. Past performance does not guarantee future results.
• This indicator provides analysis tools, not financial advice.
• Always use proper position sizing and risk management.
• Backtest results are hypothetical and do not include slippage, commissions, or fees.
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RECOMMENDED SETTINGS BY MARKET
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Crypto (BTC, ETH, SOL)
Threshold: 1.8-2.2 | Gamma: 3 | GoG: 5 | Volume: 1.3x | TF: 15min-4H
Notes: Higher volatility produces more signals. Consider higher threshold to filter.
Forex Majors (EURUSD, GBPUSD)
Threshold: 2.0-2.5 | Gamma: 4 | GoG: 6 | Volume: 1.2x | TF: 5min-1H
Notes: Lower volatility requires patience. Volume proxy via tick volume works adequately.
Stocks (Large Cap)
Threshold: 2.0-2.5 | Gamma: 3-4 | GoG: 5-6 | Volume: 1.2x | TF: 15min-Daily
Notes: Real volume data provides cleanest signals. Watch for opening/closing auction distortions.
Futures (ES, NQ, CL)
Threshold: 2.0-2.3 | Gamma: 3 | GoG: 5 | Volume: 1.2x | TF: 5min-1H
Notes: Excellent volume data. Session boundaries may produce false signals — consider RTH only.
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CONCLUSION
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Gamma of Gamma represents a fundamental shift in signal philosophy: from reacting to momentum to anticipating momentum.
By operating at the third derivative of order flow, this system detects the mathematical signatures of regime transition — the moments when current pressure dynamics become unsustainable and reversal becomes probable.
This is not another oscillator telling you what already happened. This is an anticipation engine positioning you for what's about to happen.
Stop chasing. Start anticipating.
RSI tells you where momentum was. GoG tells you where it's going.
Taking you to school. - Dskyz , Trade with probability. Trade with anticipation. Trade with GoG
Blockcircle MTE V2 - Momentum Trading EngineBLOCKCIRCLE MTE V2 - MOMENTUM TRADING ENGINE is a comprehensive multi-indicator trading strategy designed for cryptocurrency and traditional markets. It combines momentum analysis, trend confirmation, and institutional flow indicators to identify high-probability entry and exit points across any timeframe.
This strategy was developed with input from quantitative traders, financial engineers, and data scientists from Blockcircle. MTE V1 was released in 2023, MTE V2 in 2024, and MTE V3 in 2025. Each version uses different methodologies and modular functions tailored to evolving market conditions.
WHAT MAKES THIS TRADING ENGINE DIFFERENT AND ORIGINAL
While momentum indicators and RSI filters are common concepts, this strategy extends beyond simple signal generation in several ways that justify its protected source status and subscription access.
First, the Momentum Engine applies a proprietary six-layer T3 smoothing algorithm to the Commodity Channel Index. This is not a standard CCI indicator. The smoothing uses Fibonacci-based coefficients (0.618) combined with a configurable T3 period to produce a momentum oscillator with significantly reduced noise while maintaining responsiveness to genuine trend changes. The specific coefficient weighting and smoothing chain represent original development work.
Second, the Multi-Condition Entry Framework allows traders to combine up to seven independent entry conditions across multiple timeframes. Each condition can be enabled or disabled independently, creating a modular system where signals must pass through multiple confirmation layers before triggering. This conditional logic framework, including the specific implementation of timeframe confirmation and bounds checking, is not available in standard indicator combinations.
Third, the Institutional Open Interest Integration pulls aggregated futures positioning data from Binance, BitMEX, and Kraken to filter entries based on institutional activity thresholds. The strategy can require Open Interest to exceed configurable levels before allowing entries, adding a smart money confirmation layer that most retail strategies lack.
Fourth, the Adaptive Exit System offers multiple exit methodologies, including fixed stop loss, percentage-based take profit, trailing stop loss with configurable activation thresholds, higher timeframe invalidation exits, and momentum reversal exits. These can be combined and customized to match different trading styles and market conditions.
Fifth, the Price Level Condition System allows comparison of price against up to three configurable moving averages across any asset and timeframe. This enables cross-asset confirmation, such as requiring SOL to be above its 100 EMA while BTC is above its 21 Weekly EMA before entering trades.
These proprietary elements, particularly the Momentum smoothing algorithm, the multi-condition framework, and the institutional OI integration, represent original development work that provides genuine trading utility beyond what free alternatives offer.
ENTRY CONDITIONS
Momentum Indicator: Smoothed CCI using stacked T3 moving averages for noise-reduced momentum signals with configurable thresholds and multi-timeframe confirmation
RSI Boundary Conditions: Dual RSI filters with customizable timeframes, periods, and operators to confirm overbought or oversold zones
Heikin-Ashi Analysis: Optional Heikin-Ashi candle patterns, including Higher Highs and Lower Lows detection for early trend shift identification
Slow Stochastic Filter: K and D crossover confirmation with customizable smoothing to validate momentum direction Open Interest Integration: Monitor institutional positioning via aggregated OI data from Binance, BitMEX, and Kraken
Price Level Conditions: Up to three configurable price levels using EMA, SMA, HMA, or raw price across any asset and timeframe
Multi-Timeframe Confirmation: Validate signals against higher timeframes to filter noise and align with larger trends
There are hundreds of configurable options that allow you to fine-tune your trading strategy to what you want to simulate and execute
EXIT CONDITIONS
Fixed Stop Loss and Take Profit: Percentage-based SL and TP with automatic position management
Trailing Stop Loss: Dynamic trailing stop that activates after reaching profit threshold with configurable trail distance
Exit on Opposite Signal: Option to close positions when contrary signals appear, which disables take profit when enabled
Higher Timeframe Exit Triggers: Exit positions based on percentage changes on higher timeframes
Momentum Invalidation: Close trades when momentum invalidates beyond specified thresholds
Open Interest Exit: Exit based on institutional OI threshold breaches
HOW TO USE
Step 1: Define your backtest period using the Start Date and End Date inputs to test the strategy on your preferred historical range.
Step 2: Configure your entry conditions by enabling the indicators you want to use. Start with one or two conditions and add more as you understand how they interact. The Momentum condition is enabled by default and works well as a primary entry filter.
Step 3: Set your exit rules based on your risk tolerance. The default 7% stop loss is suitable for cryptocurrency volatility. Adjust the take profit based on your average winning trade expectations. Enable trailing stop losses for trend-following approaches that let winners run.
Step 4: Configure alerts for automated trading. The strategy sends standardized messages compatible with most trading bots. Default messages are LONG_OPEN, LONG_CLOSE, SHORT_OPEN, and SHORT_CLOSE.
BOT INTEGRATION
MTE V2 sends clean, standardized alert signals compatible with automated trading platforms.
Open Long: LONG_OPEN
Close Long: LONG_CLOSE
Open Short: SHORT_OPEN
Close Short: SHORT_CLOSE
Compatible platforms include 3Commas, Cornix Bot, WunderTrading, Binance Signal Bot, ByBit Signal Bot, Alertatron, and any JSON webhook service.
LIMITATIONS AND HONEST ASSESSMENT
This strategy performs best in trending market conditions. During extended consolidation or ranging periods, the win rate may decrease, and drawdowns may increase. The backtest results shown are specific to SOLUSDT on the 1-hour timeframe and may differ on other assets or timeframes.
Past performance does not guarantee future results. The backtest assumes perfect execution at the specified commission and slippage settings. Real-world trading may experience varying fill rates, especially during high-volatility periods.
The strategy uses standard candlestick data for backtesting. Results may differ if applied to Heikin-Ashi or other non-standard chart types.
A 10% position size per trade is the maximum recommended by TradingView guidelines. More conservative traders may prefer 5% or lower position sizing to reduce drawdown risk.
This strategy should be used as part of a comprehensive trading approach that includes proper risk management, appropriate position sizing for your account, and awareness of broader market conditions. It is not intended as a standalone system that guarantees profits.
RECOMMENDED SETTINGS BY TRADING STYLE
For swing trading on 4-hour to daily timeframes, use the default Momentum settings with RSI boundary confirmation. Enable trailing stop loss to capture extended moves.
For scalping on 15-minute to 1-hour timeframes, increase signal sensitivity by lowering the Momentum threshold and consider enabling Heikin-Ashi confirmation for smoother signals.
For position trading on daily to weekly timeframes, enable higher timeframe confirmation and consider adding Price Level conditions to ensure alignment with major moving averages.
Overshoot Stop Detector (EMA20 + ATR)How to read the signals (to match what you're doing):
An "OS" (Offside) above the previous bar indicates an overshoot.
A "STOP" (Stop) below the current bar indicates a potential "stop-loss" after an overshoot.
Then you can set a Beer-style trigger, for example:
Enter when the price breaks through the high of the STOP bar.
Or enter when the price closes green above the high of the STOP bar.
Then set your TP (Take Profit) at 10 to 15% as you've hypothesized.
Pro Cumulative Volume RSI# Pro Cumulative Volume RSI - Professional Trading Indicator
## 📊 What is it?
The **Pro Cumulative Volume RSI** is an advanced momentum oscillator that analyzes buying and selling pressure through volume distribution. Unlike traditional RSI that only tracks price movements, this indicator separates volume into buying and selling components, providing two distinct RSI calculations that reveal market dynamics from both perspectives.
## 🔍 How Does It Work?
### Volume Distribution Algorithm
The indicator uses a sophisticated volume distribution method:
**Buying Volume (BV)** = Volume × (Close - Low) / (High - Low)
**Selling Volume (SV)** = Volume × (High - Close) / (High - Low)
This formula proportionally allocates volume based on where the candle closes within its range:
- If close is near the high → More buying volume
- If close is near the low → More selling volume
### Dual RSI Calculation
The indicator then calculates **two separate RSI values**:
1. **Green Line (Buying Volume RSI)**: Measures the dominance of buying pressure
2. **Red Line (Selling Volume RSI)**: Measures the dominance of selling pressure
Each RSI follows the traditional 14-period calculation but applies it to the volume pressure differences rather than price changes.
## 🎯 How to Use It
### Signal Interpretation
| Scenario | Meaning | Action |
|----------|---------|--------|
| Green > 70, Red < 30 | Strong buying dominance | Consider buying / Hold long |
| Red > 70, Green < 30 | Strong selling dominance | Consider selling / Avoid longs |
| Green crosses above Red | Momentum shift to buyers | Potential buy signal |
| Red crosses above Green | Momentum shift to sellers | Potential sell signal |
| Both near 50 | Balanced market | Wait for confirmation |
### Key Features
**1. Crossover Signals**
- **BUY signal**: When green line crosses above red line with sufficient momentum
- **SELL signal**: When red line crosses above green line with sufficient momentum
- Triangle markers appear automatically on the chart
**2. Divergence Detection**
- **Bullish Divergence (DIV+)**: Price makes lower lows but indicator makes higher lows → Potential reversal up
- **Bearish Divergence (DIV-)**: Price makes higher highs but indicator makes lower highs → Potential reversal down
- Yellow/orange circles mark divergences automatically
**3. Background Coloring**
- **Green background**: Buying pressure dominates
- **Red background**: Selling pressure dominates
- Intensity shows strength of pressure
**4. Live Status Table**
- Real-time RSI values for both buying and selling
- Current momentum status
- Market pressure assessment
- Last detected signal
### Settings Customization
**Basic Settings:**
- **RSI Period**: Default 14, adjust based on your trading timeframe (shorter = more sensitive)
**Visual Settings:**
- **Histogram Mode**: Toggle between line and histogram display
- **Background Coloring**: Enable/disable pressure-based background
- **Transparency**: Adjust background opacity
**Signal Settings:**
- **Crossover Signals**: Show/hide BUY/SELL markers
- **Divergence Detection**: Enable automatic divergence spotting
- **Sensitivity**: Low/Medium/High - controls how strong momentum must be for signals
**Level Lines:**
- **Overbought/Oversold**: Adjust threshold levels (default 70/30)
## ⚠️ IMPORTANT DISCLAIMER
### This Indicator Should NOT Be Used Alone
**ALWAYS combine this indicator with other forms of analysis:**
✅ **Price Action Analysis**
- Support and resistance levels
- Trend lines and chart patterns
- Candlestick formations
✅ **Other Technical Indicators**
- Moving Averages (trend confirmation)
- MACD (momentum confirmation)
- Volume Profile (context)
- ATR (volatility assessment)
- Bollinger Bands (volatility and extremes)
✅ **Multiple Timeframe Analysis**
- Check higher timeframes for overall trend
- Use lower timeframes for precise entries
- Ensure signals align across timeframes
✅ **Fundamental Analysis**
- News and economic events
- Earnings reports (for stocks)
- Market sentiment
- Macro conditions
✅ **Risk Management**
- **NEVER** risk more than 1-2% per trade
- Always use stop losses
- Calculate position size before entering
- Have a clear exit strategy
### Common Pitfalls to Avoid
❌ **Don't** take every signal blindly
❌ **Don't** ignore the overall market trend
❌ **Don't** trade against strong momentum without confirmation
❌ **Don't** forget about major support/resistance levels
❌ **Don't** over-leverage based on indicator signals
❌ **Don't** ignore fundamental catalysts
### Best Practices
✅ **Wait for confluence**: Multiple indicators agreeing
✅ **Consider market context**: Bull/bear market conditions
✅ **Use appropriate timeframes**: Match your trading style
✅ **Backtest first**: Test on historical data before live trading
✅ **Keep a trading journal**: Track what works and what doesn't
✅ **Respect your risk management rules**: Always
## 📈 Example Trading Scenarios
### Scenario 1: Strong Trend Following
- **Setup**: Green RSI consistently above 50, price in uptrend
- **Confirmation**: Higher timeframe trend is up, price above major MA
- **Entry**: BUY signal on pullback when green crosses red
- **Stop Loss**: Below recent swing low
- **Exit**: When red RSI crosses above green or divergence appears
### Scenario 2: Reversal Trading
- **Setup**: Bullish divergence (DIV+) appears at support level
- **Confirmation**: Price shows bullish candlestick pattern, other oscillators oversold
- **Entry**: After confirmation candle closes
- **Stop Loss**: Below divergence low
- **Exit**: At resistance or when momentum weakens
### Scenario 3: Avoiding False Signals
- **Signal**: BUY signal appears
- **Check**: Price is at strong resistance, higher timeframe shows downtrend
- **Action**: **SKIP the trade** - context overrides signal
- **Result**: Protected capital by avoiding low-probability setup
## 🎓 Educational Use
This indicator is designed to help traders:
- Understand volume-based momentum
- Identify shifts in market pressure
- Learn about divergence patterns
- Practice multi-indicator analysis
**Remember**: No indicator is perfect. Markets are complex and influenced by countless factors. Use this tool as one piece of your trading puzzle, not as a standalone solution.
## 📞 Support & Updates
- Report bugs or suggest features via comments
- Check back for updates and improvements
- Share your successful setups to help the community learn
## ⚖️ Legal Disclaimer
**This indicator is for educational and informational purposes only.**
- Not financial advice
- Past performance does not guarantee future results
- Trading involves substantial risk of loss
- Only trade with money you can afford to lose
- Consult with a licensed financial advisor before making investment decisions
**The creator of this indicator assumes no responsibility for trading losses incurred through its use.**
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## 🚀 Happy Trading!
Remember: **Patience, discipline, and proper risk management** are more important than any indicator. Trade smart, trade safe!
*If you find this indicator helpful, please leave a comment and share your experience!*
Multi-Symbol RSI Portfolio Simulator [Honestcowboy]The Multi-Symbol RSI Portfolio Simulator was build to test a theory, does the RSI indicator work in FOREX assets. Does it have predictive power. In this example the security function is used to fetch data for 40 different Forex pairs and it executes a very simple trading strategy. Sell when RSI hits 80, flatten if back below. Buy when RSI hits 20, flatten if back above. All executed on bar closes so no intra bar stuff.
🟦 🟦 🟦 Very Important Disclaimer
This is a very crude indicator which does not calculate trading costs and assumes perfect execution of trades with zero slippage. Forex markets carry high risk and most CFD brokers ask high spreads and trading costs so this approach will most likely only work on the H4 or above Daily charts. We are observing market behaviour here, it's a study of price action not an executable ready strategy. Do your own cost analysis, simulation if you want to take this idea further.
🟦 What is the point?
I build this indicator to prove that RSI indeed causes price action reactions especially on the intraday level in forex. Just like any study or paper not accounting for trading costs, this is just hypothetical and a starting point.
🟦 CALCULATION
On each bar close it will check RSI value for each pair in the list. If one of the pairs meets the condition for a long or short it will open that trade on next bar open and hold it till close. Add the profits/losses to the equity line. And if condition still true on next bar do it again, this is a very crude simple form of testing. Tradingview strategy tester is superior but does not allow for multi-pair trading.
Short Condition: RSI above 80
Short Exit: RSI below 70
Long Condition: RSI below 20
Long Exit: RSI above 30
The indicator also has 2 modes: Mean reversion and Trend mode. On default it uses Mean Reversion which is explained above. Trend mode does the exact opposite, so long above 80 short below 20.
I've also included a table with a heatmap showing all the trading pairs the indicator uses, it's current RSI value and color based on how close indicator is to shorting or longing it from green to red with gray being middle so no direction.
🟦 USE CASES
You can tweak the setting for different RSI values. Different RSI lengths and also freely change any trading pair inside the list to make your own test. I'm including some screenshots of tests here below:
Sri- momentum Plus with Adjustable Hiline & Position Shift📈 Sri – Momentum Plus
Normalized Momentum with Adjustable Hilines & Position Shift
Sri – Momentum Plus is a custom, normalized momentum oscillator designed to provide clear, scalable momentum insight across any timeframe, with a strong focus on readability, adaptability, and multi-indicator compatibility.
The indicator combines normalized momentum, adaptive hilines, and vertical position control into a single coherent framework, making it suitable for both discretionary and systematic traders.
🔹 Core Concepts & Originality
1️⃣ Normalized Momentum Calculation
Momentum is derived from the difference between fast and slow averages of median price.
The raw momentum is normalized using either:
Volatility-based normalization (True Range smoothing), or
Price-average normalization
This keeps momentum behavior consistent across instruments and timeframes, avoiding distortion caused by volatility differences.
2️⃣ Sensitivity-Driven Adaptive Scaling
A single Sensitivity parameter controls:
Momentum amplitude
Histogram height
Upper and lower hiline distance
Hilines scale proportionally with sensitivity, rather than remaining fixed.
This preserves the internal structure of momentum across different trading styles and time horizons.
3️⃣ Adjustable Hilines & Vertical Position Shift
A unified offset control allows the entire indicator to be shifted up or down within the pane.
The following elements move together:
Normalized momentum line
Signal line
Histogram
Upper / lower hilines
This enables clean stacking of multiple oscillators without overlap.
4️⃣ Multi-Timeframe Momentum Support
Momentum can be calculated using:
Chart timeframe, or
Any selected intraday or higher timeframe (1 → Monthly)
Enables higher-timeframe momentum context while operating on lower-timeframe charts.
Calculations are performed with non-repainting logic (lookahead disabled).
5️⃣ Trend-Aware Histogram Visualization
Histogram coloring reflects:
Momentum relative to its signal line
Positive vs negative momentum zones
This provides intuitive visual feedback on:
Momentum expansion
Weakening phases
Transitional states
🔹 How to use this indicator
Common use cases:
Momentum confirmation for trend continuation
Assessing strength vs weakness within price swings
Comparing momentum behavior across instruments
Maintaining clarity in multi-indicator layouts
Suggested approach:
Use higher-timeframe momentum for directional bias
Combine with price action, structure, or volume for execution
Adjust sensitivity and offset to fit your chart layout
⚠️ Important Notes
This is a momentum analysis and confirmation tool, not a buy/sell signal generator
Best used as part of a broader trading framework
Normalization improves comparability, not prediction accuracy
🔒 Why the source is protected
This script incorporates:
Custom momentum normalization logic
Sensitivity-adaptive hiline architecture
Unified vertical shifting of all components
Multi-timeframe execution without repainting
While the methodology and usage are fully explained, the implementation details are protected to preserve originality.
✅ Summary
Sri – Momentum Plus delivers a flexible, normalized, and position-adjustable momentum framework, built for traders who require clarity, consistency, and multi-timeframe awareness in complex chart environments.
Liquidity TrailsLiquidity Trails
A Volatility-Anchored Market Expectation & Risk Mapping Tool
Have you ever been stopped out by normal market noise?
Have you noticed price reacting around “invisible boundaries” that aren’t obvious on a naked chart?
Liquidity Trails was designed to address exactly that problem — by mapping statistical daily price expectations using fixed higher-timeframe volatility data.
This indicator does not predict direction.
Instead, it helps traders understand where price is statistically expected to travel within a given session or period, allowing for more informed risk placement and expectation management.
📌 Core Features
1️⃣ Fixed Timeframe Volatility Anchoring
All calculations are derived from a user-selected anchor timeframe (Daily, Weekly, Monthly, or custom), ensuring that levels remain stable and unchanged when switching chart timeframes.
This prevents intraday recalculation noise and keeps reference levels consistent throughout the anchor period.
2️⃣ Average Daily Range (ADR) Projection
The indicator calculates ADR based on historical price ranges and projects:
Estimated upper expansion level
Estimated lower expansion level
These levels represent statistical price boundaries, not support or resistance claims.
3️⃣ ATR Context Levels
Average True Range (ATR) bands are plotted from the same anchor timeframe to provide context for volatility expansion vs contraction.
This allows traders to visually assess whether price is operating within, near, or beyond typical volatility conditions.
4️⃣ Volatility-Adjusted Stop Reference Levels
Optional stop reference levels are plotted at a configurable percentage of ADR (default: 60%), helping traders evaluate whether their risk placement is:
Too tight (high noise exposure)
Too wide (reduced reward efficiency)
Statistically aligned with market behavior
5️⃣ Timeframe-Independent Visualization
Levels are drawn using step-style plots, ensuring they:
Remain flat for the entire anchor period
Update only when a new anchor candle begins
Do not repaint intraday
🧠 How This Indicator Is Best Used
Liquidity Trails is intended as a context and risk framework, not an entry signal.
It complements:
Structure-based trading
Liquidity sweep models
Mean-reversion or expansion strategies
Discretionary and systematic approaches
Use price action, structure, or your existing strategy for entries — use this tool to define expectations and manage risk.
💡 Suitable For
Intraday traders seeking stable daily reference levels
Swing traders anchoring weekly or monthly volatility
Traders who want objective volatility context without clutter
🔔 Disclaimer
This indicator is a visual analytical tool only.
It does not provide trade signals or financial advice.
All trading decisions and risk management remain the responsibility of the user.
SuperTrend Strategy V4 [Filtered & Directional]
Strategy Type: Trend-Following / Breakout
Core Indicator: SuperTrend (ATR-based trailing stop)
Risk Profile: Variable (User-defined Risk per Trade)
Filtering: ADX, CHOP
1. Executive Summary
This strategy is an advanced trend-following system designed to capture significant market moves while rigorously filtering out "noise" and consolidation phases. Built on the classic SuperTrend indicator, V4 introduces a modular "Regime Filter" suite (ADX, Choppiness Index) to solve the common problem of "whipsaw" losses during sideways markets. It features dynamic position sizing based on account risk and allows for full directional control (Long-only, Short-only, or Bi-directional).
2. Core Logic (The Engine)
The primary signal generation relies on the SuperTrend indicator, which serves two purposes:
- Trend Definition: Determining the market direction (Bullish/Bearish).
- Trailing Stop Loss: Providing a dynamic exit point that moves with the price.
- Entry Signal: A trade is triggered when the price closes on the opposite side of the SuperTrend line (flipping the trend direction), provided that all enabled filters give permission.
Important Note: ATR Length and Factor are key parameters of the strategy; to get positive backtesting results, those should be aligned individually for each specific asset and timeframe.
3. The "Anti-Whipsaw" Filter Suite
To prevent overtrading in ranging markets, the strategy employs three selectable filters. These act as "logic gates" if any enabled filter says "No," the trade is skipped.
A. Choppiness Index (The Noise Filter):
- Purpose: Detects lack of trend.
- Logic: If the "Chop" value exceeds the threshold, the market is considered too chaotic. The strategy waits for the index to drop, indicating a return to directional movement.
- Default settings (recommended):
- Chop Length: 14
- Max Chop Threshold: 55
B. ADX (The Strength Filter):
- Purpose: Measures the strength of the current trend.
- Logic: Only permits entry if the Average Directional Index (ADX) is above a set threshold, ensuring momentum is present.
- Default settings (recommended):
- DI Length: 14
- ADX Smoothing Length: 5
- Min ADX Threshold: 15
4. Risk Management & Position Sizing*
Instead of fixed lot sizes, this strategy uses Volatility-Adjusted Sizing:
- Risk Per Trade: The user defines a fixed dollar amount to risk according to initial capital.
- Calculation: The script calculates the distance between the Entry Price and the SuperTrend (Stop Loss). It then mathematically determines the exact position size so that if the Stop Loss is hit, the loss equals the defined risk amount.
- Safety: Includes a failsafe for zero-division errors during extreme volatility (e.g., crypto flash crashes).
5. Directional Bias Control
Recognizing that different assets have different biases (e.g., Crypto is often long-biased; Forex pairs can be mean-reverting), V4 allows the user to toggle:
- Enable Longs: Toggle ON/OFF.
- Enable Shorts: Toggle ON/OFF.
Note: Disabling a direction prevents new entries but allows existing positions to close naturally to preserve capital.
6. Visual Aids
- Trend Lines: Green/Red SuperTrend line indicates active trailing stop.
- Regime Highlighting: The chart background turns Gray when the market is in a "No Trade Zone" (failed filter checks), allowing for instant visual backtesting of the filters' effectiveness.
UCY-DorukBot2 LiveTitle:
DorukBot2 aka Doruk DENİZ
Short Title:
DorukBot2
Author:
Uğur Çağrı YILMAZ
x.com
Co-Authors:
Murat DENİZ
Mehmet Sıddık TEMEL
Osman ÖZEN
Salih ÜNSAL
Serkan BODUR
Backtest parameters:
Backtested with default parameter of DorukBot2 XU030D1! 5 min BIST chart (with all available price data)
Backtested initial capital 100.000 TRY
Order size set as 100% of equity
Commission is set to 0.1% same as this is a brokerage default in Turkey.
DorukBot is a hit and run indicator so it's main purpose is to enter positions in intra-day movements at price action levels.
M1 RSIRSI (Relative Strength Index)
Measures price momentum to identify overbought and oversold conditions.
Volume
Shows trading activity strength; higher volume confirms strong moves.
MACD (Moving Average Convergence Divergence)
Tracks trend direction and momentum using moving average crossovers.
Stochastic Oscillator
Compares closing price to price range to spot reversals.
HoneG_CCIv18HoneG_CCIv18
This is a signal tool capable of both counter-trend and trend-following trading. Apply it to 1-minute charts.
For trend-following, it features a rapid-fire mode. When conditions align, rapid-fire mode activates, and two indicators signaling the rapid-fire timing will turn ON/OFF in sync with price extension moments.
逆張りも順張りも出来るサインツールです。１分足チャートに適用してください。
順張りには連打モードがあり、条件が揃うと連打モードが発動し、連打タイミングを知らせる二か所の表示が、価格が伸びるタイミングに合わせてON/OFFします。
