Smart Signal Assistant (Kewme)Smart Signal Assistant (Kewme) – Professional Trading Suite
Overview The Smart Signal Assistant (Kewme) is a comprehensive, all-in-one trading toolkit designed to bring institutional-grade discipline and visual clarity to your trading. Unlike clutter-heavy indicators, this system focuses on precision and risk management. It combines a powerful trend-following engine with an automated trade manager that visualizes your risk and reward in real-time.
Key Features
1. 🛡️ Disciplined Trade Management (One Trade at a Time) Stop over-trading with the built-in "Focus Mode."
No Signal Spam: The system will never generate a new signal while a trade is currently running.
Active Management: A new signal is only generated after the current trade has either hit the Take Profit (TP) or the Stop Loss (SL). This enforces strict trading discipline.
2. 📦 Dynamic Risk/Reward Boxes Visualizing your trade has never been easier.
Instant Zones: Upon a signal, the script automatically draws a Green Profit Zone and a Red Loss Zone directly on the chart.
ATR-Based Precision: Stop Loss levels are calculated dynamically using Average True Range (ATR), ensuring your stops breathe with market volatility.
Auto-Cutoff: The boxes automatically stop drawing the moment price hits your TP or SL, keeping your chart clean and historical performance visible.
3. 🎯 Clear Exit Labels No more guessing. The script clearly marks the exact candle where your trade closed:
TP Hit 🎯: Appears when your target is reached.
SL Hit ❌: Appears if the market goes against you.
4. 🚀 Smart Trend Engine & Filters
Hybrid Modes: Choose between "Swing" (for reliable, long-term trends) or "Scalping" (for quick, short-term moves).
Trend-Range Classifier (TRC): An intelligent filter system that monitors ADX and market volatility. It automatically blocks signals during choppy, sideways markets to protect your capital.
5. 📊 Live Status Dashboard A sleek, on-chart dashboard provides real-time data at a glance:
Trade Status: Shows if a trade is "RUNNING" or "SEARCHING."
Market Bias: Bullish or Bearish.
Trend Strength: Indicates if the market is Strong or Sideways.
How to Use
Select Mode: Choose 'Swing' for higher timeframes or 'Scalping' for lower timeframes in settings.
Adjust Risk: Set your preferred Risk/Reward Ratio (e.g., 1:2) and SL Multiplier.
Follow the Boxes: Enter when the box appears, and exit exactly when the "TP Hit" or "SL Hit" label pops up.
Disclaimer: This tool is for educational and assistance purposes only. Always use proper risk management.
Osilator
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.
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.
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.*
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.
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.
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
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.
ZION Momentum Flow [wjdtks255]🚀 ZION Momentum Flow
This is a trend-strength oscillator designed to visualize market momentum through a refined RSI logic. It helps traders identify the exact moment when market energy is accelerating or cooling down.
Key Features:
Visual Momentum: Uses a color-coded histogram to represent trend intensity (Green for Bullish, Red for Bearish).
Two-Tone Strength: Darker colors indicate standard movement, while bright neon colors signal high-energy breakouts beyond the threshold.
Built-in Alerts: Supports alerts for momentum spikes, allowing you to catch trend starts without staring at the screen.
ZION Trend Strike [wjdtks255]🚀 ZION Trend Strike
This is an advanced trend-following signal indicator designed to work in perfect harmony with the ZION Momentum Flow. It filters market noise and provides precise entry/exit points based on momentum synergy.
Key Features:
Trend Strike Signals: Provides clear BUY/SELL labels when price action aligns with momentum energy.
Dynamic Trend Guide: A color-switching EMA line that helps you visualize the current trend direction at a glance.
Synergy Optimization: Best used as a set with ZION Momentum Flow to avoid false breakouts.
Multilingual Input: Easy-to-use settings menu with both English and Korean labels.
SOPR Candles - Custom Mid-LineSOPR Candle with Customizable Mid-Line
On-chain SOPR (Spent Output Ratio) indicator as an oscillator. Customizable centerline and MAs makes signals easy to identify.
Features
SOPR displayed as a column-style oscillator
Customizable SOPR center (middle line)
Optional SMA or EMA smoothing
Clear green/red coloring
How to Use
Values above/below center Indicate profit/loss realization
Risk Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. Cryptocurrency markets are highly volatile, and trading involves significant risk. Past performance is not indicative of future results. You are solely responsible for your trading decisions and risk management. Always conduct your own research and consider your financial situation before trading.
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."
Advisor CORE + MOMENTUM (Weekly) - ROC/EMA📊 Advisor CORE + Momentum (Weekly)
This indicator provides a rule-based market diagnosis by clearly separating long-term structure from entry timing, following a CANSLIM-consistent logic.
It is designed to answer what is allowed right now, not to generate automatic trade signals.
🔹 CORE — Structural Context
The CORE layer evaluates trend and market cycle, independent of entry timing:
Weekly price relative to a long-term EMA
Long-term Rate of Change (ROC)
It identifies whether the asset’s primary structure is intact, weakening, or deteriorating.
Typical outputs:
CORE: BUY / HOLD → structure and cycle intact
CORE: HOLD → structure alive, under pressure
CORE: REDUCE → structural deterioration
🔹 MOMENTUM — CANSLIM Timing Logic
The MOMENTUM layer applies strict CANSLIM entry rules, clearly separating structure from timing:
BUY
Price above the short-term EMA
Short-term EMA above the long-term EMA
Long-term EMA rising
HOLD / WAIT
Structure intact, but price below the short-term EMA
NO OPERATE
Price below the long-term EMA or structural conditions failing
This ensures that no BUY condition is allowed without valid timing, even if the broader trend remains positive.
🔗 Combined Use
This indicator is designed to be used together with:
ROC Triple (13 / 26 / 52)
The ROC Triple provides visual momentum context, while the Advisor converts structure and timing into clear, rule-based guidance.
⚠️ Important Notes
This is not a signal generator.
It does not define entries, exits, or position size.
Recommendations are contextual, not predictive.
The objective is to standardize market reading, avoid mixed signals, and enforce discipline between structure and timing.
Advisor CORE + MOMENTUM (Weekly) - ROC/EMA📊 Advisor CORE + Momentum (Weekly)
This indicator provides a high-level diagnostic view of an asset by combining trend, momentum, and market cycle into concise, rule-based recommendations.
It is designed to answer “what is allowed right now”, not to automate trading decisions.
🔹 CORE (Long-Term Context)
The CORE assessment focuses on structural trend and cycle:
Weekly price relative to a long-term EMA
Long-term Rate of Change (ROC)
It helps identify whether the asset is in a healthy long-term phase, a temporary pullback, or a structural deterioration.
Typical outputs:
CORE: BUY / HOLD
CORE: HOLD
CORE: REDUCE
🔹 MOMENTUM (Tactical / Growth Context)
The Momentum assessment evaluates short- and medium-term price strength:
Short- and medium-term ROC alignment
Price behavior relative to the long-term trend
It is intended to determine whether momentum-based strategies are currently supported, in pause, or not advisable.
Typical outputs:
MOMENTUM: BUY
MOMENTUM: WAIT
MOMENTUM: NO OPERATE
🔗 Combined Use
This indicator is designed to be used in combination with:
ROC Triple (13 / 26 / 52)
The ROC Triple indicator provides the visual momentum context, while the Advisor translates that information into structured, high-level guidance.
Used together, they offer both:
Interpretation (ROC Triple)
Decision context (Advisor)
⚠️ Important Notes
This is not a signal generator.
It does not define position size or timing.
Recommendations are contextual, not predictive.
The objective is to standardize market reading, reduce emotional bias, and support consistent decision-making across different market regimes.
ROC Triple (13 / 26 / 52)📊 ROC Triple (13 / 26 / 52)
🇺🇸 English
This indicator combines three Rate of Change (ROC) lines to analyze price momentum across three time horizons: short, medium, and long term.
ROC 13: short-term momentum (noise, pullbacks, short accelerations).
ROC 26: trend impulse.
ROC 52: structural cycle and long-term strength.
The goal is not to generate automatic buy/sell signals, but to put price action into context, helping to distinguish normal pullbacks, trend pauses, and genuine cycle changes.
Key interpretation:
ROC 52 > 0 → structural uptrend intact
ROC 26 slowing while ROC 52 remains positive → consolidation phase
ROC 13 negative with ROC 26 and 52 positive → pullback within trend
This is not a predictive indicator or a trading system. It is a diagnostic tool to support better decision-making.
Bollinger Bands on the RSIThe indicator uses Bollinger Bands on the RSI.
Users can customize the RSI length and the Bollinger Bands length. The Bollinger Bands standard deviation can also be adjusted separately for more flexibility and convenience.
In the Settings menu, you can find Trend Confirmation, which can be turned on or off depending on your preference. Trend Confirmation is used to reduce noise on the chart and is calculated using the bar before the trend.
How the indicator can be used
1) As an RSI + EMA-style trend tool (trend following)
When the Bollinger Bands standard deviation is set low, the bands behave similarly to an EMA, so the indicator can be used in trending markets.
2) For mean reversion
When the RSI length is set high and the standard deviation is set high, the indicator can be used in mean-reverting markets.
3) As a regime indicator (to some extent)
With the right calibration, it can likely be used as a regime indicator as well.
There are many more use cases you can discover.
Have fun exploring.
Price_Deviation Oleg📘 Description
This script is an extended and customized version of the original work by the respected author fullmax.
I adapted the logic for my own trading needs and added several improvements, including lot‑precision rounding to prevent exchange errors when using webhook automation, as well as additional visualization elements for clarity.
🔧 Key Enhancements
Lot precision control (prevents invalid quantity errors on exchanges when using webhooks)
Base order labels for easier visual tracking
Mini‑table with live position metrics
Configurable date‑range window for backtesting
Dynamic safety‑order price calculation
Trailing take‑profit option
Improved visualization of thresholds, MA, and TP levels
🎯 How the Strategy Works
The script calculates a moving average and compares the current price deviation against user‑defined thresholds.
When the deviation condition is met, the strategy opens a base position and then manages it using safety orders that scale in both volume and distance.
After entering a position, the script manages exits using:
a fixed take‑profit target
or an optional trailing take‑profit
plus a breakeven reference line
and an auto‑close mechanism when the averaging cycle resets
All order quantities are rounded according to the selected lot precision to ensure compatibility with exchange requirements when sending webhook‑based orders.
⚙️ Features Overview
Deviation‑based entry logic
Safety orders with volume and step scaling
Configurable date window for testing
Trailing TP with adjustable distance
Breakeven visualization
Mini‑table showing quantity, USD value, open trades, PnL, and equity
Clean and intuitive chart visualization
📝 Disclaimer
This script is provided for educational purposes only.
It does not constitute financial advice and does not guarantee profits.
Always test strategies on historical data before using them in live trading.
How RSI Pullbacks Work Best in a Trend EMA Momentum ConceptRSI is one of the most widely used momentum indicators, but it works best when traded in the direction of the trend rather than in isolation.
This idea demonstrates a simple RSI pullback / retest concept combined with a 50 EMA to identify high-probability trend continuation trades.
🔹 Strategy Concept
The core idea is to trade pullbacks within an existing trend instead of chasing price or predicting reversals.
A 50 EMA is used as a trend filter:
• Price above EMA → bullish bias
• Price below EMA → bearish bias
This keeps trades aligned with market structure and momentum.
🟢 BUY Setup (RSI Pullback in Uptrend)
A buy signal appears when:
• Price is above the 50 EMA
• RSI pulls back below the 45 level
• RSI crosses back above 45
• Price shows bullish confirmation
This represents a healthy pullback, not weakness.
🔴 SELL Setup (RSI Retest in Downtrend)
A sell signal appears when:
• Price is below the 50 EMA
• RSI rises above the 55 level
• RSI crosses back below 55
• Price confirms bearish momentum
This captures continuation after a corrective move.
📊 Chart Observation
As seen on the chart, signals occur after pullbacks rather than at random points.
Trades align with trend direction and avoid sideways conditions.
The highlighted buy and sell markers show how RSI reacts during momentum pauses and resumes in the direction of the trend.
This behavior is clearly visible on intraday charts like the 15-minute timeframe.
🧠 How to Use This Idea
This concept works best when combined with:
• Support and resistance levels
• Market structure
• Candle confirmations (engulfing, strong rejection candles)
• Proper risk management
Technical analysis provides a high-probability edge, but it does not offer certainty. As seen in these examples, trades can frequently move in the opposite direction post-entry. To protect your capital, you must implement a stop-loss for every position and maintain the discipline to honor it, regardless of your conviction.
RSI here is used as a momentum pullback tool, not as a traditional overbought/oversold indicator.
If you find this concept useful, feel free to Boost and share your feedback.
Suggestions for improvements are always welcome.
pacplindicators.com
//@version=5
strategy("PACPL – RSI Pullback / Retest Strategy v2.1 (Live Version)",
overlay=true, max_labels_count=500, initial_capital=100000,
commission_type=strategy.commission.percent, commission_value=0.02)
//------------------------------------------------------
// ⚙️ INPUTS
//------------------------------------------------------
rsiLen = input.int(14, "RSI Length", minval=1)
emaLen = input.int(50, "Trend EMA Length", minval=1)
pullbackBuy = input.int(45, "RSI Pullback Level (BUY Zone)", minval=20, maxval=60)
pullbackSell= input.int(55, "RSI Retest Level (SELL Zone)", minval=40, maxval=80)
confirmBars = input.int(1, "Price Confirmation Bars", minval=1)
showLabels = input.bool(true, "Show Buy/Sell Triangles")
showZones = input.bool(true, "Highlight Pullback Zones")
//------------------------------------------------------
// 📊 CORE INDICATORS
//------------------------------------------------------
rsiValue = ta.rsi(close, rsiLen)
emaPrice = ta.ema(close, emaLen)
trendUp = close > emaPrice
trendDn = close < emaPrice
//------------------------------------------------------
// 🔄 SIMPLIFIED PULLBACK / RETEST LOGIC
//------------------------------------------------------
// BUY → In uptrend, RSI dips below 45 and comes back above it
rsiBuyCond = ta.cross(rsiValue, pullbackBuy) and trendUp
// SELL → In downtrend, RSI rises above 55 and comes back below it
rsiSellCond = ta.cross(rsiValue, pullbackSell) and trendDn
// Confirmation with price direction
priceConfirmUp = close > close
priceConfirmDown = close < close
// Final entry conditions
longCond = rsiBuyCond and priceConfirmUp
shortCond = rsiSellCond and priceConfirmDown
//------------------------------------------------------
// 🧾 STRATEGY EXECUTION
//------------------------------------------------------
if longCond and strategy.position_size <= 0
strategy.entry("BUY", strategy.long)
if shortCond and strategy.position_size >= 0
strategy.entry("SELL", strategy.short)
// Opposite signal exit
if strategy.position_size > 0 and shortCond
strategy.close("BUY", comment="Opposite RSI Retest Exit")
if strategy.position_size < 0 and longCond
strategy.close("SELL", comment="Opposite RSI Pullback Exit")
//------------------------------------------------------
// 📈 VISUALS
//------------------------------------------------------
plot(emaPrice, "EMA", color=color.new(color.teal, 0), linewidth=2)
// Triangles
plotshape(showLabels and longCond, title="Buy", style=shape.triangleup, location=location.belowbar,
color=color.new(color.green, 0), size=size.small, text="BUY")
plotshape(showLabels and shortCond, title="Sell", style=shape.triangledown, location=location.abovebar,
color=color.new(color.red, 0), size=size.small, text="SELL")
// Background zones
bgcolor(showZones and trendUp and rsiValue < pullbackBuy ? color.new(color.green, 85) : na)
bgcolor(showZones and trendDn and rsiValue > pullbackSell ? color.new(color.red, 85) : na)
//------------------------------------------------------
// 🔔 ALERTS
//------------------------------------------------------
alertcondition(longCond, title="BUY Triggered", message="RSI Pullback Retest → BUY Signal")
alertcondition(shortCond, title="SELL Triggered", message="RSI Retest Pullback → SELL Signal")
//------------------------------------------------------
// 🧠 NOTES
//------------------------------------------------------
// ✅ Live, non-repainting RSI pullback logic
// BUY: RSI crosses back above pullback zone while price above EMA
// SELL: RSI crosses back below retest zone while price below EMA
// Simple, effective continuation system for trend pullback entries
// Works on all timeframes (NIFTY, BANKNIFTY, Stocks, Crypto)
Trade ManagerDescription
This script is a trade‑management system designed for both automated and manual trading workflows.
It combines VWRSI‑based signals, customizable price levels, safety orders, take‑profit logic, and optional MA‑trend filtering.
Key features:
Automated entries based on VWRSI
Manual LONG/SHORT level entries
Priority‑based entry logic (first condition triggers the trade)
Safety order scaling (volume and step multipliers)
Take‑profit targets for both LONG and SHORT positions
Breakeven logic with adjustable thresholds
Optional MA‑trend filter
Mini‑table showing position metrics
Base order labels and lot‑precision control
How it works:
If multiple entry modes are enabled, the script opens a position based on the first condition reached.
After entering a trade, the position can be averaged using safety orders and closed at the configured profit target.
Notes:
This script is for educational purposes and does not guarantee profits.
Always test on historical data and understand the risks before using it in live trading.
Tomato Indicator V5EMAs
SMAs
VWAP
All-in-one.
12, 27, 50, 135, 200, 405 EMAs.
200, 400, SMA.
VWAP for Volume Weighted Average Price.
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!*
