Momentum RSIThe Momentum RSI is a smoother and faster version of the famous RSI made by J. Welles Wilder.
Benefits
- Higher speed relative to the classic RSI
- Lower noise
- Momentum which can be watched for additional data and more educated investments
- Low/High Value catching
- Plotting for better visualization
- High CRYPTO:SOLUSD performance
The Idea
The idea is to make the RSI faster by adding momentum to it. This can prevent false signals and speed up entries.
What is the momentum in here? The momentum is the difference between a short-term & a longer term Moving Average, which can also signal uptrends/downtrends.
How it works
First it calculates the basic RSI using the standard calculation. Then it applies 2 averages on it, one with higher lookback and one with lower lookback.
The difference between the lower lookback and higher lookback averages is what gives us the momentum.
Another momentum is a lower length RSI - higher length RSI.
These two momentum calculations are then added on top of the previous RSI value .
This is the entire calculation - simple & efficient.
Enjoy Gs!
Osilator
T3 smooth MACD BB What this script does – in plain words
Smoothes the MACD with a special T3 filter, turning the raw MACD into a smoother line so short‑term noise is reduced.
Draws Bollinger‑style bands around that smoothed MACD, giving a “mid line” and upper/lower envelopes that show how far the line is from its recent average.
Colors the main line green when it’s rising and red when it’s falling, helping you see the trend at a glance.
Adds a bold zero line plus light gray markers on the bands so you can spot crossovers easily.
Includes a translucent blue fill between the upper and lower bands for visual emphasis.
This gives a clear, color‑coded view of MACD momentum plus volatility bands—all on the same indicator pane.
eBacktesting - Learning: RSI DivergenceseBacktesting - Learning: RSI Divergences is meant to train your eye to spot when a trend is losing momentum before price fully turns.
How to study it (step-by-step)
1. Start with the trend
- First decide if price is generally trending up or down (higher highs / higher lows vs lower highs / lower lows).
- Divergences matter most after a trend has been running for a while.
2. Look for the “mismatch”
- Bearish divergence: price prints higher highs, but RSI prints lower highs.
- This often shows up near the end of a strong bullish run, when buyers are still pushing price up but with less momentum.
- Bullish divergence: price prints lower lows, but RSI prints higher lows.
- This can show up near the end of a bearish move, when selling pressure is fading.
3. Treat divergence as a warning, not an entry
- The key lesson: divergence often signals trend weakness, not an instant reversal.
- After a divergence appears, study what happens next: stalling, ranging, a pullback, or a full reversal.
4. Add simple confirmation
- Practice waiting for something obvious after the divergence:
a break of a small support/resistance level,
a shift in swing structure,
or a clear rejection candle from a key area.
- This helps you avoid taking every divergence as a trade signal.
5. Use it inside eBacktesting (best practice)
- Replay the chart and pause on each divergence mark.
- Log:
Where it happened (after a long run or in the middle of chop?),
Whether price stalled first or reversed immediately,
What confirmation appeared (if any),
The best “invalidation” idea (what would prove you wrong?).
- Over time you’ll see which divergences are meaningful for your market and session, and which ones are noise.
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
Consolidating Trend MasterA complimentary Oscillator to the Hybrid ST/EMA Trend Table Indicator to help provide confident Confluence signals and when the market is consolidating/choppy/moving sideways.
This Oscillator may also help someone with scalping.
warning as always, no chart is 100% accurate.
Alpha Hunter Integrated MACD & Oscillator [wjdtks255]Indicator Title: Alpha Hunter Integrated MACD & Oscillator Pro
Short Description
A high-precision hybrid oscillator that integrates MACD dynamics with a secondary-smoothed histogram to eliminate market noise and capture trend reversals with minimal lag.
Detailed Description
Overview
The Alpha Hunter Integrated MACD & Oscillator is designed to overcome the inherent lag of standard MACD indicators. By applying an exponential moving average (EMA) filter to the histogram itself and incorporating a momentum direction check, this tool identifies high-probability entry points while filtering out "whipsaws" commonly found in choppy markets.
Key Technical Pillars
Dual-Smoothed Histogram: Unlike standard oscillators, this script smooths the raw histogram values using a secondary filtering period. This reveals the true underlying momentum before price action fully shifts.
Momentum Directional Filter: Entry signals are only triggered when the MACD line’s slope aligns with the crossover, ensuring you don't enter against a stalling trend.
Dynamic Trend Clouds: The visual fill between the MACD and Signal lines acts as a "Trend Cloud," providing immediate visual feedback on the strength and duration of the current trend.
The Winning Trading Strategy (How to Use)
To maximize win rates, it is highly recommended to use this indicator as a Confirmation Oscillator alongside a Long-term Trend Filter (like a 200 EMA) on your main chart.
1. Long Setup (Buy)
Context: Price must be trading above the 200 EMA on the main chart.
Signal: A green "BUY" triangle and label appear on the oscillator.
Confirmation: The Histogram should be green and rising.
Exit: Exit at a pre-defined Take Profit (TP) box or when a bearish MACD crossunder occurs.
2. Short Setup (Sell)
Context: Price must be trading below the 200 EMA on the main chart.
Signal: A red "SELL" triangle and label appear on the oscillator.
Confirmation: The Histogram should be red and falling.
Exit: Exit at the designated Stop Loss (SL) or when a bullish MACD crossover occurs.
Input Parameters & Optimization
Fast/Slow/Signal: Default 12, 26, 9. (Standard for most markets).
Signal Smoothing: Set to 5 for a balance of speed and reliability. Increase to 8+ for swing trading on higher timeframes.
Recommended Timeframes: 15m, 1h, and 4h for the best signal-to-noise ratio.
Author's Note
This indicator is a "No-Repaint" script. Signals are confirmed at the close of the candle to ensure reliability during live trading. Always use proper risk management.
Old Glory Exhaustion Detector / In Chart Oscillator SignalsThis custom oscillator-based indicator detects potential trend exhaustion and reversal points through overextension thresholds. It highlights overextended candle bodies in gold and plots diamonds for buy/sell signals (red/blue), regular divergences (yellow), and hidden divergences (silver). Customize lengths, thresholds, and all colors via inputs for flexible analysis across timeframes.
RSI-RS StrategyRSI-RS Strategy: Smart Trend Following 🚀
Overview
This strategy combines Multi-Timeframe RSI with Mansfield Relative Strength to identify high-momentum breakouts in strong stocks. Unlike standard RSI strategies, it features a "Smart Trailing Stop" that tightens when momentum weakens but respects key RSI 50 support levels to avoid shaking you out of winning trades.
Key Features ✨
1. 🎯 High-Probability Entries
Multi-Confirmations: Requires Monthly RSI > 60 and Weekly RSI > 60 (Trend is Up).
Dual Trigger: Enters on a Daily RSI Breakout (>60) OR a Weekly RSI Catch-up, ensuring you don't miss late moves.
RS Filter: Only buys stocks outperforming the Index (RS > 0).
New Listing Safe: Automatically skips Monthly checks for new IPOs lacking history.
2. 🛡️ Advanced "Hybrid" Stop Loss
This strategy solves the "Wick Out" problem:
Confirmation Exit: If price drops below the Stop Loss, it waits for the Next Candle to confirm the breakdown. It ignores intraday wicks!
Crash Protection: Includes a "Panic Button" (Default 3% buffer). If price crashes rapidly intraday, it exits immediately to save capital.
Smart Trailing: The Stop Loss moves UP when RSI shows weakness (<60), locking in profits.
3. 🧠 Smart Support Buffer
Wait for 50: Uniquely detects when RSI is resting on 50 Support (Zone 50-55).
Patience: It ignores minor weakness signals in this zone, waiting for a bounce instead of exiting prematurely.
4. 🧹 Clean Visuals
Minimalist Labels: Transparent Entry/Exit labels that don't declutter the chart.
Setup Watch: Visually signals "Watch > " before the trade triggers.
Transparency: "SL Update" diamonds prove exactly why the stop moved (showing the RSI value).
Settings Guide ⚙️
Confirmation Window: How many bars the breakout remains valid (Default: 2).
RSI Support Buffer: The "Safe Zone" range above 50 (Default: 5).
Crash Buffer %: Distance below SL for immediate emergency exit (Default: 3.0%).
Visuals: Toggle Setup Labels and SL Diamonds on/off to keep your chart clean.
How to Trade It
Green Background: You are in a trade.
Red Line: Your Hard Stop Loss (Closing Basis).
Maroon Dotted Line: Your Crash Limit (Intraday Danger Zone).
Orange Diamond: Warning! RSI Weakness detected, SL has tightened.
Disclaimer
Backtested on Indian Equities (NSE). Designed for Swing Trading on Daily Timeframe. Always manage your own risk.
Ichimoku + EMA + RSI [Enhanced]# **Ichimoku + EMA + RSI Strategy - User Instructions**
---
## **📋 TABLE OF CONTENTS**
1. (#installation)
2. (#strategy-overview)
3. (#parameter-configuration)
4. (#understanding-the-dashboard)
5. (#entry--exit-rules)
6. (#best-practices)
7. (#optimization-guide)
8. (#troubleshooting)
---
## **🚀 INSTALLATION**
### **Step 1: Add to TradingView**
1. Open TradingView.com
2. Click **Pine Editor** (bottom of screen)
3. Click **"New"** → Select **"Blank indicator"**
4. Delete all default code
5. **Copy and paste** the complete script
6. Click **"Save"** (give it a name: "Ichimoku EMA RSI Strategy")
7. Click **"Add to Chart"**
### **Step 2: Verify Installation**
✅ You should see:
- Orange **200 EMA** line
- Blue **Tenkan** line
- Red **Kijun** line
- Green/Red **Cloud** (Ichimoku cloud)
- **Dashboard** in top-right corner
- **Strategy Tester** tab at bottom
---
## **📊 STRATEGY OVERVIEW**
### **What This Strategy Does**
Combines three powerful technical indicators to identify high-probability trades:
| Component | Purpose |
|-----------|---------|
| **200 EMA** | Determines overall trend direction |
| **Ichimoku Cloud** | Provides support/resistance and momentum |
| **RSI** | Filters momentum strength |
| **Dashboard** | Real-time signal analysis |
### **Trading Logic**
- **LONG**: Enter when all bullish conditions align
- **SHORT**: Enter when all bearish conditions align
- **EXITS**: Automatic via trailing stops, cloud breach, or TK cross reversal
---
## **⚙️ PARAMETER CONFIGURATION**
### **🔵 Trend Filter Settings**
```
EMA Length: 200 (default)
```
- **Lower (100-150)**: More sensitive, faster signals
- **Higher (250-300)**: More stable, slower signals
- **Recommendation**: Keep at 200 for most timeframes
---
### **🟢 RSI Settings**
```
RSI Length: 14 (default)
RSI Long Minimum: 55
RSI Short Maximum: 45
```
**Adjustment Guide:**
- **Aggressive** (more signals): Long=50, Short=50
- **Balanced** (default): Long=55, Short=45
- **Conservative** (fewer signals): Long=60, Short=40
---
### **🟡 Ichimoku Settings**
```
Tenkan Period: 9
Kijun Period: 26
Senkou B Period: 52
Displacement: 26
```
**Standard Configurations:**
| Timeframe | Tenkan | Kijun | Senkou B |
|-----------|--------|-------|----------|
| **1H - 4H** | 9 | 26 | 52 |
| **15m - 1H** | 7 | 22 | 44 |
| **Daily** | 9 | 26 | 52 |
**Filters:**
- ✅ **Require Chikou Confirmation**: Adds extra validation (recommended)
- ✅ **Require Cloud Position**: Price must be above/below cloud (recommended)
---
### **🔴 Risk Management**
```
ATR Length: 14
ATR Stop Loss Multiplier: 2.0
ATR Take Profit Multiplier: 3.0
Min Bars Between Trades: 3
```
**Risk/Reward Profiles:**
| Profile | SL Multiplier | TP Multiplier | Description |
|---------|---------------|---------------|-------------|
| **Conservative** | 2.5 | 4.0 | Wider stops, higher R:R |
| **Balanced** | 2.0 | 3.0 | Default settings |
| **Aggressive** | 1.5 | 2.5 | Tighter stops, faster exits |
---
### **🎨 Display Settings**
```
Show Dashboard: ON
Show Entry Signals: ON
```
- **Dashboard**: Shows real-time analysis
- **Entry Signals**: Green/Red arrows on chart
---
## **📈 UNDERSTANDING THE DASHBOARD**
### **Dashboard Components**
```
┌─────────────────────┬──────────┐
│ Component │ Status │
├─────────────────────┼──────────┤
│ EMA Trend │ BULL/BEAR│
│ Cloud │ ABOVE/BELOW/INSIDE│
│ TK Cross │ BULL/BEAR│
│ RSI │ 55.3 │
│ Chikou │ BULL/BEAR│
│ Signal │ STRONG LONG│
└─────────────────────┴──────────┘
```
### **Signal Interpretation**
| Signal | Score | Meaning | Action |
|--------|-------|---------|--------|
| **STRONG LONG** | 7+ | All conditions aligned | High confidence LONG |
| **LONG** | 4-6 | Most conditions met | Moderate confidence |
| **NEUTRAL** | <4 | Mixed signals | Wait for clarity |
| **SHORT** | 4-6 | Bearish bias | Moderate SHORT |
| **STRONG SHORT** | 7+ | All bearish conditions | High confidence SHORT |
---
## **📍 ENTRY & EXIT RULES**
### **✅ LONG ENTRY CONDITIONS**
All must be TRUE:
1. ✅ Price **above** 200 EMA
2. ✅ Price **above** Ichimoku Cloud
3. ✅ Tenkan **crosses above** Kijun (TK Bull Cross)
4. ✅ RSI **above** 55
5. ✅ Chikou **above** price 26 bars ago
6. ✅ Minimum bars since last trade met
**Visual Confirmation:**
- 🟢 Green triangle **below** candle
- Dashboard shows **"STRONG LONG"**
---
### **❌ LONG EXIT CONDITIONS**
Any ONE triggers exit:
1. ❌ Price closes **below** cloud bottom
2. ❌ Tenkan **crosses below** Kijun
3. ❌ ATR trailing stop hit (2.0 × ATR)
4. ❌ Take profit hit (3.0 × ATR)
---
### **✅ SHORT ENTRY CONDITIONS**
All must be TRUE:
1. ✅ Price **below** 200 EMA
2. ✅ Price **below** Ichimoku Cloud
3. ✅ Tenkan **crosses below** Kijun (TK Bear Cross)
4. ✅ RSI **below** 45
5. ✅ Chikou **below** price 26 bars ago
6. ✅ Minimum bars since last trade met
**Visual Confirmation:**
- 🔴 Red triangle **above** candle
- Dashboard shows **"STRONG SHORT"**
---
### **❌ SHORT EXIT CONDITIONS**
Any ONE triggers exit:
1. ❌ Price closes **above** cloud top
2. ❌ Tenkan **crosses above** Kijun
3. ❌ ATR trailing stop hit (2.0 × ATR)
4. ❌ Take profit hit (3.0 × ATR)
---
## **💡 BEST PRACTICES**
### **Recommended Timeframes**
| Timeframe | Trading Style | Signals/Week |
|-----------|---------------|--------------|
| **15m** | Scalping | 20-30 |
| **1H** | Day Trading | 10-15 |
| **4H** | Swing Trading | 5-10 |
| **Daily** | Position Trading | 2-5 |
---
### **Asset Classes**
✅ **Best Performance:**
- Major Forex pairs (EUR/USD, GBP/USD)
- Crypto (BTC/USD, ETH/USD)
- Major indices (SPX, NAS100)
⚠️ **Use Caution:**
- Low liquidity pairs
- Highly volatile altcoins
- Stocks with gaps
---
### **Risk Management Rules**
```
1. Never risk more than 2% per trade
2. Use the built-in ATR stops (don't override)
3. Respect the "Min Bars Between Trades" cooldown
4. Don't trade during major news events
5. Monitor dashboard - only trade STRONG signals
```
---
## **🔧 OPTIMIZATION GUIDE**
### **Step 1: Run Initial Backtest**
1. Open **Strategy Tester** tab (bottom of screen)
2. Set date range (minimum 6 months)
3. Review:
- **Net Profit**
- **Win Rate** (target: >50%)
- **Profit Factor** (target: >1.5)
- **Max Drawdown** (target: <20%)
---
### **Step 2: Optimize Parameters**
**If Win Rate is Low (<45%):**
- Increase RSI thresholds (Long=60, Short=40)
- Enable both Chikou + Cloud filters
- Increase "Min Bars Between Trades" to 5
**If Too Few Signals:**
- Decrease RSI thresholds (Long=50, Short=50)
- Reduce EMA to 150
- Adjust Ichimoku to faster settings (7/22/44)
**If Drawdown is High (>25%):**
- Increase ATR Stop Loss Multiplier to 2.5
- Add longer cooldown period (5+ bars)
- Trade only STRONG signals
---
### **Step 3: Forward Test**
```
1. Paper trade for 2-4 weeks
2. Compare results to backtest
3. Adjust if live results differ significantly
4. Only go live after consistent paper trading success
```
---
## **🛠️ TROUBLESHOOTING**
### **Problem: No Signals Appearing**
**Solutions:**
- Check RSI levels aren't too restrictive
- Verify timeframe is appropriate (try 1H or 4H)
- Ensure both filters aren't enabled on ranging markets
- Review dashboard - components may be conflicting
---
### **Problem: Too Many Losing Trades**
**Solutions:**
- Enable **both** Chikou + Cloud filters
- Increase RSI thresholds (more conservative)
- Only trade when dashboard shows "STRONG" signals
- Increase cooldown period to avoid overtrading
---
### **Problem: Dashboard Not Showing**
**Solutions:**
- Verify "Show Dashboard" is enabled in settings
- Check chart isn't zoomed out too far
- Refresh chart (F5)
- Re-add indicator to chart
---
### **Problem: Stops Too Tight/Wide**
**Solutions:**
- **Too Tight**: Increase ATR Stop Loss Multiplier to 2.5-3.0
- **Too Wide**: Decrease to 1.5-1.8
- Verify ATR Length is appropriate for timeframe
- Consider asset volatility (crypto needs wider stops)
---
## **📞 QUICK REFERENCE CARD**
```
═══════════════════════════════════════════════════
STRATEGY QUICK REFERENCE
═══════════════════════════════════════════════════
BEST TIMEFRAMES: 1H, 4H, Daily
BEST ASSETS: Major Forex, BTC, ETH, Indices
RISK PER TRADE: 1-2% of capital
LONG ENTRY:
✓ Price > 200 EMA
✓ Price > Cloud
✓ TK Bull Cross
✓ RSI > 55
✓ Dashboard = STRONG LONG
SHORT ENTRY:
✓ Price < 200 EMA
✓ Price < Cloud
✓ TK Bear Cross
✓ RSI < 45
✓ Dashboard = STRONG SHORT
EXITS:
× Cloud breach
× TK reverse cross
× ATR trailing stop
× Take profit (3:1 R:R)
═══════════════════════════════════════════════════
```
---
## **⚠️ DISCLAIMER**
This strategy is for **educational purposes only**. Always:
- Backtest thoroughly on your specific assets
- Paper trade before going live
- Never risk more than you can afford to lose
- Past performance ≠ future results
- Consider market conditions and your risk tolerance
---
**Happy Trading! 📈**
TradingView — Track All Markets
Where the world charts, chats, and trades markets. We're a supercharged super-charting platform and social network for traders and investors. Free to sign up.
Delta Hedging Pressure📊 COT Delta Hedging Pressure – Institutional Sentiment Indicator
This indicator visualizes institutional hedging pressure by aggregating delta-style positioning into a clean, session-aware sentiment framework.
Instead of guessing direction, it shows who is likely hedging vs. pressing, helping traders align intraday execution with higher-timeframe positioning.
🔍 What This Indicator Does
Calculates cumulative hedging pressure using price-based delta logic
Classifies market state into:
Bullish (positive hedge pressure)
Bearish (negative hedge pressure)
Neutral (balanced flow)
Resets cleanly by session or user-defined period
Visualizes sentiment using:
Background shading
Labels
Cumulative plots
🧠 How Traders Use It
Directional bias filter (trade only with sentiment)
Context for FVGs, liquidity raids, and pullbacks
Avoids chop by identifying neutral hedge conditions
Pairs especially well with:
XAUUSD
Index CFDs
Futures / CFD hybrids
⚙️ Key Features
Session-aware cumulative logic
Adjustable sensitivity and lookback
Clean visual design (no clutter)
Non-repainting calculations
Works on 1m → HTF
⚠️ Important Notes
This is a context tool, not a signal generator
Best used alongside price structure and risk management
Designed for discipline and alignment, not overtrading
🎯 Ideal For
Scalpers & intraday traders
Traders using:
Fair Value Gaps (FVG)
Liquidity sweeps
Session-based models
Traders transitioning from prop logic to personal capital
🧩 Final Thought
This indicator answers one question:
“Is the market hedging or pressing — and should I be aggressive or patient?”
If you trade with structure, this keeps you on the right side.
RSI + martingaleТорговая стратегия основанная на совмещении торговой системы Мартингейл и индекса относительной сила RSI.
Скрипт входит в сделку после пересечения заданных уровней перекупленности и перепроданности RSI. Набирает позицию, по умолчанию умнажая размер каждой докупки x2. Закрывается по тейк-профиту.
A trading strategy based on combining the Martingale trading system and the Relative Strength Index (RSI).
The script enters the trade after crossing the set overbought and oversold levels of the RSI. It takes a position, by default multiplying the size of each additional purchase by x2. It closes with a take profit.
Trend Cloud with Buy/Sell Text [wjdtks255]Indicator Title: Trend Cloud with Buy/Sell Signal Pro
Short Description
A high-probability trend-following indicator based on Supertrend dynamics, enhanced with a Volume Filter to pinpoint explosive entries while minimizing false breakouts.
Detailed Description (Overview)
The Trend Cloud with Buy/Sell Text is designed for traders who prioritize clarity and momentum. It visualizes market trends through a "Trend Cloud" system and generates real-time BUY/SELL signals only when price action is backed by significant trading volume.
Key Technical Pillars
Dynamic Trend Cloud: Fills the area between the price and the Supertrend line, providing immediate visual feedback on trend strength and potential support/resistance zones.
Smart Volume Filter: A unique logic that compares current volume against a 20-period moving average. Labels only appear when a trend shift occurs with above-average volume, filtering out weak "fakeouts."
No-Repaint Labels: Signals are calculated and fixed at the close of the candle, ensuring that the BUY/SELL text remains permanent for reliable historical backtesting and live execution.
The Alpha Hunter Strategy (How to Trade)
1. Long Entry (Buy)
Condition: The cloud turns Aqua and a "BUY" label appears below the candle.
Confirmation: Ensure the price remains above the Aqua Trend Line.
Volume Check: The indicator automatically verifies if the volume is higher than the 20-period average before displaying the label.
Exit: Exit when a "SELL" signal appears or the price closes below the Aqua line.
2. Short Entry (Sell)
Condition: The cloud turns Red and a "SELL" label appears above the candle.
Confirmation: Price should stay below the Red Trend Line.
Exit: Exit when a "BUY" signal appears or the price closes above the Red line.
Input Parameters & Optimization
ATR Period (Default: 10): Determines the sensitivity to price volatility.
ATR Factor (Default: 3.0): Controls the distance of the trend line. Increase to 3.5 - 4.0 to reduce noise in choppy markets.
Volume Filter (Toggle): When enabled, only high-momentum signals are shown.
Recommended Usage
Best Timeframes: 15m, 1h, 4h.
Asset Classes: Highly effective for Crypto (BTC/ETH) and high-volume stocks.
MoneyMakers Scalping Signals1-5 min frame, a versatile market indicator designed to highlight emerging trends and structural shifts in crypto price action before they fully develop. By combining price dynamics, momentum behavior and market context into a clean visual output, it helps traders make more informed decisions without noise or lag. Suitable for both short- and mid-term analysis, the indicator offers a clearer view of potential reversal zones, trend continuations and key market cycles.
MINI Lead Osc v2_ CCI_ Impulse_ REG🔹 MINI Lead Osc v2 — Momentum, Impulse & Early Reversal Tool
MINI Lead Osc v2 is a leading momentum oscillator designed to detect early shifts in market strength, impulse exhaustion, and potential reversals before they become obvious on price.
This indicator is part of the ICT Suite ecosystem and is engineered to work in confluence with:
Regression SuperTrend (WAIT)
Liquidity Oscillator (Structure & Bias)
Used together, they form a complete top-down trading framework.
⚙️ Core Logic
MINI Lead Osc v2 blends multiple engines into a single clean signal:
• CCI + RSI slope momentum
• ATR volatility shift
• Pivot-based divergence detection
• Adaptive Sensitivity+ engine
• Regression channel (linreg + RMSE bands)
The output is a normalized lead line that reacts before classic lagging indicators.
🚀 What This Indicator Is Best For
✔ Early trend continuation signals
✔ Detecting impulse starts, weakness, and distribution
✔ Filtering noise during ranges
✔ Momentum confirmation for pullback entries
✔ Spotting divergence without repainting
This is not a standalone “buy/sell spam” indicator — it is a decision-quality tool.
🔁 How to Use (Recommended Setup)
For best results, use MINI Lead Osc v2 together with:
1️⃣ Regression SuperTrend (WAIT)
→ Defines dominant trend & market regime
→ Filters counter-trend signals
2️⃣ Liquidity Oscillator (Structure)
→ Confirms break → pullback → continuation logic
→ Adds HTF bias & session context
3️⃣ MINI Lead Osc v2 (this script)
→ Times entries
→ Detects early momentum shifts
→ Confirms impulse quality
📌 Trade only when all three align.
🧠 Important Notes
• Signals are non-repainting (bar-close confirmed)
• Designed for discretionary trading, not automation
• Works best on 5m – 15m – 1h timeframes
• Crypto, Futures, and FX friendly
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
It does not constitute financial advice.
Always manage risk and confirm with price action.
Trade Decision MatrixTrade Decision Matrix (TDM)
Trade Decision Matrix (TDM) is a professional-grade, multi-phase market intelligence indicator designed to assist traders in understanding market structure, regime behavior, capital confidence, and execution readiness using a systematic, probabilistic framework.
This indicator does not generate trade signals. Instead, it provides a structured decision matrix similar to institutional trading desks, combining regime analytics, entropy confidence, Bayesian reliability, capital allocation logic, and scenario interpretation.
🔹 Core Architecture
TDM is built using a nine-phase institutional decision pipeline:
Phase 1 — Market Context
Spot–future basis, volatility normalization, and structural slope detection.
Phase 2 — Regime Engine
Probabilistic classification of Trend, Breakout, Range, or Mean Reversion environments.
Phase 3 — Orthogonal Model Cores
Independent statistical, trend, breakout, and mean-reversion cores.
Phase 4 — Bayesian Reliability Engine
Adaptive reliability scoring for each core using Bayesian reinforcement.
Phase 5 — Capital Engine
Capital confidence and capital mode based on opportunity quality, regime clarity, entropy confidence, and risk filters.
Phase 6 — Decision Matrix
Bias, participation level, and trade quality grading.
Phase 7 — Scenario Engine
Contextual scenario interpretation such as Trend Expansion, Breakout Failure, Range Compression, etc.
Phase 8 — Execution Gate
Execution readiness filter based on capital and model alignment.
Phase 9 — Reversal Engine
Probabilistic reversal risk estimation using multi-factor logic.
🔹 Regime Entropy Confidence
TDM uses Shannon entropy to measure regime uncertainty and converts it into a confidence score.
Lower entropy = higher regime confidence.
Higher entropy = unstable or transitional market state.
This prevents over-confidence in noisy conditions.
🔹 Institutional Commentary Engine
A professional commentary layer interprets all internal engines and outputs institutional-style guidance such as:
• Institutional Alignment
• Capital Protection Mode
• Regime Uncertainty
• Momentum Continuation
• Structural Breakout
• Volatility Coiling
• Reversal Risk Elevated
This commentary is designed for situational awareness, not signal generation.
🔹 Dashboard
The dark-theme dashboard provides a compact institutional decision panel:
• Regime
• Entropy Confidence
• Scenario
• Bias
• Strength
• Capital Confidence
• Capital Mode
• Trade Quality
• Execution State
• Commentary
• Reversal Risk
All values are color-coded with heat shading for instant visual interpretation.
🔹 How To Use
TDM is best used as a decision support layer alongside your own trading strategy.
Typical workflow:
Identify regime and entropy confidence.
Observe capital confidence and capital mode.
Check scenario and bias alignment.
Confirm execution readiness.
Monitor reversal risk before entering or holding positions.
This tool is ideal for:
• Intraday traders
• Swing traders
• Options traders
• Index traders
• Systematic discretionary traders
🔹 Important Notes
• This indicator does NOT produce buy/sell signals.
• It is a decision intelligence framework.
• It should not be used as a standalone trading system.
• Always apply personal risk management.
🔹 Disclaimer
This indicator is provided for educational and informational purposes only.It does not constitute financial advice or investment recommendations.Trading involves risk. Users are responsible for their own trading decisions.
Leotin ScalperThis is a quick scalping indicator. Mostly used on the 1 minute timeframe. It uses the RSI on the 14 period with 30 and 70. When it crosses the 70 line it and a hanging man or shooting star candle forms, it will give a sell indication. when crossing the 30 line and a hammer or inverted hammer is formed it will give a buy indication.
Multi Cycles Slope-Fit System MLMulti Cycles Predictive System : A Slope-Adaptive Ensemble
Executive Summary:
The MCPS-Slope (Multi Cycles Slope-Fit System) represents a paradigm shift from static technical analysis to adaptive, probabilistic market modeling. Unlike traditional indicators that rely on a single algorithm with fixed settings, this system deploys a "Mixture of Experts" (MoE) ensemble comprising 13 distinct cycle and trend algorithms.
Using a Gradient-Based Memory (GBM) learning engine, the system dynamically solves the "Cycle Mode" problem by real-time weighting. It aggressively curve-fits the Slope of component cycles to the Slope of the price action, rewarding algorithms that successfully predict direction while suppressing those that fail.
This is a non-repainting, adaptive oscillator designed to identify market regimes, pinpoint high-probability reversals via OB/OS logic, and visualize the aggregate consensus of advanced signal processing mathematics.
1. The Core Philosophy: Why "Slope" Matters:
In technical analysis, most traders focus on Levels (Price is above X) or Values (RSI is at 70). However, the primary driver of price action is Momentum, which is mathematically defined as the Rate of Change, or the Slope.
This script introduces a novel approach: Slope Fitting.
Instead of asking "Is the cycle high or low?", this system asks: "Is the trajectory (Slope) of this cycle matching the trajectory of the price?"
The Dual-Functionality of the Normalized Oscillator
The final output is a normalized oscillator bounded between -1.0 and +1.0. This structure serves two critical functions simultaneously:
Directional Bias (The Slope):
When the Combined Cycle line is rising (Positive Slope), the aggregate consensus of the 13 algorithms suggests bullish momentum. When falling (Negative Slope), it suggests bearish momentum. The script measures how well these slopes correlate with price action over a rolling lookback window to assign confidence weights.
Overbought / Oversold (OB/OS) Identification:
Because the output is mathematically clipped and normalized:
Approaching +1.0 (Overbought): Indicates that the top-weighted algorithms have reached their theoretical maximum amplitude. This is a statistical extreme, often preceding a mean reversion or trend exhaustion.
Approaching -1.0 (Oversold): Indicates the aggregate cycle has reached maximum bearish extension, signaling a potential accumulation zone.
Zero Line (0.0): The equilibrium point. A cross of the Zero Line is the most traditional signal of a trend shift.
2. The "Mixture of Experts" (MoE) Architecture:
Markets are dynamic. Sometimes they trend (Trend Following works), sometimes they chop (Mean Reversion works), and sometimes they cycle cleanly (Signal Processing works). No single indicator works in all regimes.
This system solves that problem by running 13 Algorithms simultaneously and voting on the outcome.
The 13 "Experts" Inside the Code:
All algorithms have been engineered to be Non-Repainting.
Ehlers Bandpass Filter: Extracts cycle components within a specific frequency bandwidth.
Schaff Trend Cycle: A double-smoothed stochastic of the MACD, excellent for cycle turning points.
Fisher Transform: Normalizes prices into a Gaussian distribution to pinpoint turning points.
Zero-Lag EMA (ZLEMA): Reduces lag to track price changes faster than standard MAs.
Coppock Curve: A momentum indicator originally designed for long-term market bottoms.
Detrended Price Oscillator (DPO): Removes trend to isolate short-term cycles.
MESA Adaptive (Sine Wave): Uses Phase accumulation to detect cycle turns.
Goertzel Algorithm: Uses Digital Signal Processing (DSP) to detect the magnitude of specific frequencies.
Hilbert Transform: Measures the instantaneous position of the cycle.
Autocorrelation: measures the correlation of the current price series with a lagged version of itself.
SSA (Simplified): Singular Spectrum Analysis approximation (Lag-compensated, non-repainting).
Wavelet (Simplified): Decomposes price into approximation and detail coefficients.
EMD (Simplified): Empirical Mode Decomposition approximation using envelope theory.
3. The Adaptive "GBM" Learning Engine
This is the "Machine Learning" component of the script. It does not use pre-trained weights; it learns live on your chart.
How it works:
Fitting Window: On every bar, the system looks back 20 days (configurable).
Slope Correlation: It calculates the correlation between the Slope of each of the 13 algorithms and the Slope of the Price.
Directional Bonus: It checks if the algorithm is pointing in the same direction as the price.
Weight Optimization:
Algorithms that match the price direction and correlation receive a higher "Fit Score."
Algorithms that diverge from price action are penalized.
A "Softmax" style temperature function and memory decay allow the weights to shift smoothly but aggressively.
The Result: If the market enters a clean sine-wave cycle, the Ehlers and Goertzel weights will spike. If the market explodes into a linear trend, ZLEMA and Schaff will take over, suppressing the cycle indicators that would otherwise call for a premature top.
4. How to Read the Interface:
The visual interface is designed for maximum information density without clutter.
The Dashboard (Bottom Left - GBM Stats)
Combined Fit: A percentage score (0-100%). High values (>70%) mean the system is "Locked In" and tracking price accurately. Low values suggest market chaos/noise.
Entropy: A measure of disorder. High entropy means the algorithms disagree (Neutral/Chop). Low entropy means the algorithms are unanimous (Strong Trend).
Top 1 / Top 3 Weight: Shows how concentrated the decision is. If Top 1 Weight is 50%, one algorithm is dominating the decision.
The Matrix (Bottom Right - Weight Table)
This table lifts the hood on the engine.
Fit Score: How well this specific algo is performing right now.
Corr/Dir: Raw correlation and Direction Match stats.
Weight: The actual percentage influence this algorithm has on the final line.
Cycle: The current value of that specific algorithm.
Regime: Identifies if the consensus is Bullish, Bearish, or Neutral.
The Chart Overlay
The Line: The Gradient-Colored line is the Weighted Ensemble Prediction.
Green: Bullish Slope.
Red: Bearish Slope.
Triangles: Zero-Cross signals (Bullish/Bearish).
"STRONG" Labels: Appears when the cycle sustains a value above +0.5 or below -0.5, indicating strong momentum.
Background Color: Changes subtly to reflect the aggregate Regime (Strong Up, Bullish, Neutral, Bearish, Strong Down).
5. Trading Strategies:
A. The Slope Reversal (OB/OS Fade)
Concept: Catching tops and bottoms using the -1/+1 normalization.
Signal: Wait for the Combined Cycle to reach extreme values (>0.8 or <-0.8).
Trigger: The entry is taken not when it hits the level, but when the Slope flips.
Short: Cycle hits +0.9, color turns from Green to Red (Slope becomes negative).
Long: Cycle hits -0.9, color turns from Red to Green (Slope becomes positive).
B. The Zero-Line Trend Join
Concept: Joining an established trend after a correction.
Signal: Price is trending, but the Cycle pulls back to the Zero line.
Trigger: A "Triangle" signal appears as the cycle crosses Zero in the direction of the higher timeframe trend.
C. Divergence Analysis
Concept: Using the "Fit Score" to identify weak moves.
Signal: Price makes a Higher High, but the Combined Cycle makes a Lower High.
Confirmation: Check the GBM Stats table. If "Combined Fit" is dropping while price is rising, the trend is decoupling from the cycle logic. This is a high-probability reversal warning.
6. Technical Configuration:
Fitting Window (Default: 20): The number of bars the ML engine looks back to judge algorithm performance. Lower (10-15) for scalping/quick adaptation. Higher (30-50) for swing trading and stability.
GBM Learning Rate (Default: 0.25): Controls how fast weights change.
High (>0.3): The system reacts instantly to new behaviors but may be "jumpy."
Low (<0.15): The system is very smooth but may lag in regime changes.
Max Single Weight (Default: 0.55): Prevents one single algorithm from completely hijacking the system, ensuring an ensemble effect remains.
Slope Lookback: The period over which the slope (velocity) is calculated.
7. Disclaimer & Notes:
Repainting: This indicator utilizes closed bar data for calculations and employs non-repainting approximations of SSA, EMD, and Wavelets. It does not repaint historical signals.
Calculations: The "ML" label refers to the adaptive weighting algorithm (Gradient-based optimization), not a neural network black box.
Risk: No indicator guarantees future performance. The "Fit Score" is a backward-looking metric of recent performance; market regimes can shift instantly. Always use proper risk management.
Author's Note
The MCPS-Slope was built to solve the frustration of "indicator shopping." Instead of switching between an RSI, a MACD, and a Stochastic depending on the day, this system mathematically determines which one is working best right now and presents you with a single, synthesized data stream.
If you find this tool useful, please leave a Boost and a Comment below!
Triple Stochastic RSI [XYZ-Trades]Triple Stochastic RSI (original work from XYZ-Trades) with some minor additions to allow user to move table.
Filtered Percentile OscillatorThe Filtered Percentile Oscillator is a new trend following tool that uses trend strength for filtering. Noisy at times - but do not underrate it, this tool has great potential. :)
Benefits:
- Very high speed
- Adaptive behaviour filtering excess noise
- High performance on CRYPTO:SUIUSD
- Plotting for better visualization
The Idea
Get a simple indicator that is combined with trend strength for filtering. The best for this was the Percentile. I used it on the classic source to keep it simple, but if anybody wants feel free to change it with/without ChatGPT.
How it works:
Calculate the Percentile of the source.
Calculate the ADX & the Percentile of ADX.
Then we have two filter conditions:
If ADX Percentile+ Absolute Percentile of source > Sum Filter Treshhold is not true, both the Long & Short conditions are automaticly false.
If ADX Percentile > Filter Treshhold it will make the treshholds for the Percentile lower, while if it is below the filter treshhold, it will put the treshholds higher to filter excess noise further.
Enjoy Gs!
AlgoYields - AAlgoYields A — Everyday Overlay for Clean, Actionable Context
Please follow — more indicators & ideas coming soon!
Equipped with alerts and customizable styles, this overlay is designed for daily use: attractive look for fast reads, low noise, high signal. It blends a few trusted tools into a single, elegant view so you can track trend, momentum, and breakouts without overcrowding.
What’s inside
Trading Session Backdrop
Quarter-tinted background (distinct color per quarter) for quick macro orientation; subtle week-to-week transparency shifts; CME pre-market, regular session, and post-market shading; weekends left clear.
Includes multiple curated color palettes. Ask if you want a custom theme.
EMA Cloud
A staircase of short EMAs for trend strength + two macro EMAs (defaults: 80 & 200). Macro EMAs auto-tint: blue when price is above, orange when below.
All lengths are user-configurable.
RSI-Derived Bar Colors
Contextual bar coloring by RSI level/zone to make strength/weakness instantly visible.
Comes with multiple palettes optimized for light/dark charts.
Price Channel & Breakouts
Select band source: Close (tight), HLC3 (medium), or High/Low (widest). Breakout dots print above/below bars and are color-coded by trend context:
Green : break below lower band in an uptrend (buy-the-dip candidates).
Yellow : break above upper band in an uptrend (potential exhaustion / quick scalp).
Orange : break below lower band in a downtrend (continuation shorts).
Red : break above upper band in a downtrend (fade-the-pop entries).
Buffer values can be tuned to reduce noise or enhance reactivity
How to use it
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Bullish Breakdowns ( green dots) — often attractive dip-buys within uptrends.
Confirm with macro-EMA slope: steeper = stronger follow-through; flatting slope = take quicker profits and watch for potential rollover.
Bullish Breakouts ( yellow dots) — be selective. If RSI confirms strength, these can be solid for quick scalps; otherwise, beware “touch-and-fade” at the upper band.
Apply the same logic in reverse for shorts:
Bearish Breakouts ( red ) and Bearish Breakdowns ( orange ) favor short entries/continuations.
Inputs worth tweaking
EMA lengths (short stack + macro 80/200 defaults).
RSI bar-color palette (pick for light/dark themes).
Channel source (Close / HLC3 / High-Low) and breakout buffer.
Session/quarter palette selection.
Alerts
Choose from built-in signals (channel breaks, EMA crosses, significant RSI levels).
Notes & best practices
Backtest breakouts per asset/timeframe to tune buffers and TP/SL targets.
Use level + slope together: RSI/EMA levels flag conditions; slope confirms impulse/continuation.
Let the EMA cloud and macro EMAs set bias; use RSI bars and breakout dots for timing.
Multi Asset & Multi Timeframe Trend DashboardOverview
The Multi-Asset & Multi-Timeframe Trend Dashboard is a comprehensive visual data terminal designed to provide a bird's-eye view of market sentiment across five different assets and seven distinct timeframes simultaneously. By consolidating 10 core technical indicators into a single table, it eliminates the need for "chart hopping" and helps traders identify high-probability trend alignment.
How It Works
The dashboard evaluates each asset based on a Scoring System ($-10$ to $+10$). For every timeframe, the script analyzes the following 10 conditions:
Trend: EMA 20 > EMA 50Macro
Trend: EMA 50 > EMA 200
Position: Price > EMA 200
MACD: MACD Line > Signal Line
MACD Momentum: MACD Histogram > 0
RSI Momentum: RSI(14) > RSI SMA(14)
RSI Level: RSI(14) > 50
Stochastics: Stoch K > D
CCI: Commodity Channel Index > 0
Awesome Oscillator: AO > 0
Visual Logic & Features
Indicator Dots (■): Represent the 10 individual technical conditions. Green indicates a bullish state; Red indicates a bearish state.
Trend Arrows (▲/▼): Displays the aggregate directional bias of a timeframe based on the sum of the 10 dots.
Neutral State (✖): If indicators are split 50/50 (Score of 0), a grey cross is displayed to indicate total market indecision.
"ALL" Column: A macro-summary that aggregates scores across all four primary timeframes.
Volatility Marker (•): A dot appearing next to the symbol name indicates that current ATR is higher than the historical average (user-defined threshold).
Market Status Color: The symbol name background turns Green if the market is currently open and active, and Red if it is closed or stagnant.
Technical Implementation
This script utilizes request.security calls to fetch data across timeframes. To ensure performance and prevent repainting issues, all security calls are handled using the barstate.islast flag to only render the dashboard on the most recent bar.
How to Use
Alignment Trading: Look for "Full House" scenarios where all arrows (15m through Daily) are the same color.
Scalping Bias: Use the "Mini Timeframes" (1m, 3m, 5m) to find entries that align with the higher timeframe trend shown in the main table.
Volatility Filter: Only take trades when the volatility marker (•) is active to ensure there is enough "power" in the move.
Std Deviation RangeWhen you want to know when the standard deviation is outside your boundaries this indicator is for you. It lets you set you SD limit and it can color the background when you are out of bounds. Currently the default is 20 SMA bollinger bands set at 1.1. If it is inside those limits the background is green and when it exceeds that range the background is red. You can change the SMA, the standard deviation, and the colors.






















