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!
متذبذبات
HOHO Oscillator Squeeze With Goldilocks Pivot FractalsDESCRIPTION:
HOHO Oscillator Squeeze With Goldilocks Pivot Fractals combines three powerful technical analysis methodologies into one comprehensive momentum indicator designed for identifying high-probability trading opportunities.
Core Components:
1. HOHO (Hump Oscillator)
Multi-timeframe momentum analysis using dual oscillators (fast and slow) to identify market momentum shifts. The histogram colors change based on momentum direction and strength, providing clear visual cues for trend changes.
2. Squeeze Detection
Bollinger Bands and Keltner Channel compression analysis identifies periods of low volatility (squeeze conditions) that often precede significant price moves. Yellow dots on the zero line indicate active squeeze conditions.
3. Goldilocks Pivot Fractals
Williams Fractals-based reversal detection identifies significant swing highs and lows. BUY and SELL signals are dynamically positioned to "hug" the histogram, providing clear entry and exit signals at major turning points.
Key Features:
- Dynamic Signal Positioning: Arrows and text automatically adjust to histogram height for optimal visibility
- Customizable Visual Elements: Full control over colors for arrows, text, squeeze dots, and histogram
- Multiple Alert Options: Configurable alerts for fractals, squeeze events, and momentum shifts
- Adjustable Sensitivity: Fractal periods can be tuned for different trading styles (lower = more signals, higher = fewer signals)
- Paint Bars Option: Optional bar coloring based on fast or slow oscillator momentum
- Non-Repainting: All signals are based on confirmed price action
- Independent Spacing Controls: Separate BUY and SELL text spacing for perfect visual balance
How to Use:
Entry Signals:
- BUY arrows appear below histogram at swing lows (bullish fractals)
- SELL arrows appear above histogram at swing highs (bearish fractals)
- Best entries occur when squeeze releases coincide with fractal signals
Momentum Confirmation:
- Green histogram = bullish momentum
- Red histogram = bearish momentum
- Lighter shades indicate weakening momentum
- Darker shades indicate strengthening momentum
Squeeze Conditions:
-Yellow dots = Volatility compression (squeeze active)
- Gray dots = Normal volatility (no squeeze)
- Watch for squeeze release followed by directional move
HOHO Settings:
- Adjustable MA lengths and types (EMA/SMA)
- Customizable smoothing parameters
Goldilocks Fractals:
- Fractal Periods: Sensitivity control (default: 2)
- Arrow Spacing: Distance from histogram (default: 2.0)
- BUY Text Spacing: Distance from BUY arrow (default: 1.7)
- SELL Text Spacing: Distance from SELL arrow (default: 0.8)
- Toggle arrows and text independently
Visual Customization:
- Arrow colors (bullish/bearish)
- Text colors (BUY/SELL)
- Squeeze dot colors (ON/OFF)
- Dot size adjustment
Alerts:
- Bullish/Bearish fractal detection
- Squeeze start/release
- Momentum shift crossovers
Best Practices:
- Trend Alignment: Use on higher timeframes (15m+) for more reliable signals
- Confluence: Combine fractal signals with momentum direction for higher probability trades
- Risk Management: Place stops beyond the fractal high/low that triggered the signal
- Squeeze Strategy: Wait for squeeze release before taking directional positions
- Filter Signals: Increase fractal periods (10-20) to focus only on major turning points
Recommended Timeframes:
- Scalping: 5m-15m (fractal periods 2-5)
- Day Trading: 15m-1H (fractal periods 5-10)
- Swing Trading: 4H-Daily (fractal periods 10-20)
Important Notes:
This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always perform your own analysis and use proper risk management. Trading involves substantial risk of loss.
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.
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
––––––––––
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 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!
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.
Precision Trend Signal V5Strategy Logic OverviewThis indicator is a "Triple-Confirmation" trend-following system. It combines volume-weighted smoothing, immediate price action, and momentum filtering.1. Core ComponentsEMA 1 (The Trigger): Since the period is set to 1, this represents the raw price action. It acts as the fastest possible trigger to capture entries at the exact moment a trend shifts.SALMA (The Baseline): This is a double-smoothed moving average. It provides a stabilized support/resistance line that filters out market noise better than a standard SMA.Tillson T3 (The Trend Filter): Known for its low lag and extreme smoothness. We use this as a "Guardrail." We only take BUY signals when price is above the T3 and SELL signals when price is below it.RSI (The Momentum Filter): Ensures that we only enter a trade when there is sufficient strength ($> 50$ for Long, $< 50$ for Short).2. Signal Rules🚀 BUY SignalA green BUY label appears when:Crossover: EMA 1 crosses above the SALMA line.Trend: The current price is trading above the Tillson T3 line.Momentum: RSI is greater than 50.🔻 SELL SignalA red SELL label appears when:Crossunder: EMA 1 crosses below the SALMA line.Trend: The current price is trading below the Tillson T3 line.Momentum: RSI is less than 50.3. Execution & ManagementTake Profit (TP): Based on your preference, the suggested target is 2%.Alerts: The script includes alertcondition functions. You can set up TradingView alerts to send Webhooks to your quant infrastructure or bot, solving the "manual execution" problem you mentioned.
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.
Vix FIX dotsDescription
Vix FIX Dots is a momentum and volatility-based trend-following tool. It combines the classic Williams VIX Fix logic with Stochastic and RSI filters to identify high-probability reversal points and trend exhaustion.
Unlike the standard VIX Fix which is often displayed in a separate pane, this script overlays signals directly onto your chart as colorful dots to simplify the decision-making process.
How it Works
The script calculates the "Synthetic VIX" (Williams VIX Fix) to find market bottoms and volatility peaks. To reduce noise and false signals, it incorporates price action filters and trend-strength lookbacks.
Signal Guide
The indicator plots four distinct types of dots:
Green Circle (Below Bar): Filtered Long Entry. This represents a standard buy signal where volatility has peaked and price action confirms a move up.
Blue Circle (Below Bar): Aggressive Long Entry. A faster signal for traders looking to catch a move earlier, based on multi-candle lookbacks.
Red Circle (Above Bar): Filtered Exit/Short. Indicates a standard trend exhaustion point.
Orange Circle (Above Bar): Aggressive Exit/Short. A faster signal indicating the trend may be rolling over.
Key Features
Volatility Bands: Uses Bollinger Bands and Percentile calculations on the VIX Fix to identify extreme exhaustion.
Price Action Filter: Signals only trigger if the current close outperforms a user-defined number of previous bars.
Customizable Lookbacks: Fully adjustable settings for Stochastic and RSI filters to match your specific timeframe (M5, H1, D1, etc.).
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow - |K| |A| |E| |F|
KAE Flow is a quantitative trend-aggregation engine designed to determine the dominant market bias by fusing three distinct market dimensions: Volatility, Trend Strength, and Volume.
This script does not rely on a single metric. Instead, it creates a composite "Flow" score derived from the Daily timeframe to act as a high-level bias filter for intraday or swing trading.
1. The Quantitative Logic (The Engine)
The core of this indicator is the KAE Engine, which polls data from the Daily timeframe (by default) to ensure you are always trading in alignment with the macro trend. It aggregates three logical components:
K (Keltner Channels): Measures Volatility Breakouts.
Logic: Returns bullish if price closes above the Upper Channel, bearish if below the Lower Channel. This captures the expansion phase of price action.
A (Aroon): Measures Trend Age & Strength.
Logic: Returns bullish only if the Aroon Up is > 70 and dominating the Aroon Down. This ensures the trend is not just present, but mathematically strong.
E (Elder’s Force Index): Measures Volume-Weighted Momentum.
Logic: Uses volume pressure to confirm price moves. Positive smoothed force indicates bullish accumulation.
2. Signal Processing (ALMA)
Raw data is noisy. The KAE Flow takes the aggregated raw score from the components above and runs it through an ALMA (Arnaud Legoux Moving Average).
Why ALMA? It offers the best balance between smoothness and responsiveness, removing "false flips" in the trend bias while reacting quickly to genuine reversals.
The Color (The Bias):
Deep Blue: Strong Bullish Flow (KAE Score > 0.1). Look for Long entries .
White: Strong Bearish Flow (KAE Score < -0.1). Look for Short entries.
Gray: Neutral/Transition. Volatility is contracting or the trend is conflicting.
5. Settings & Configuration
Keltner/Aroon/EFI Lengths: Fully customizable to fit different asset classes (Crypto vs. Forex).
Active Smoothing: Toggle ALMA on/off.
Active Components: You can toggle specific engines (K, A, or E) on or off. Default uses Keltner + Aroon for a pure Price/Time analysis.
Risk Warning: This indicator pulls higher-timeframe data (Daily) to color lower-timeframes. While this provides a powerful macro view, be aware that closed candle data is used to prevent repainting issues in real-time.
D_Quant --- Trade With Discipline
RSI MTF Table (Threshold Colors + Direction Arrows) [v6]Sometimes I want to know what other timeframes are indicating for the RSI so I borrowed from another indicator and created this script. Since I swing trade, I have the timeframes set higher, but you can adjust them to your needs in the settings.
Each pane is color coded light green below 50, and pink above 50. Then you can define your own thresholds but the defaults are Red above 70, and Dark Green below 30. The colors can be adjusted to your needs.
The top of each pane is its timeframe, then the RSI value for that timeframe. Then I check the current bar against the prior bar to see if the current value is higher (Up Arrow) or lower (Down Arrow) so that you know which way the RSI is moving. The position on your chart can be changed to your needs.
This keeps the momentum in perspective for me. I hope it helps you. Good luck in your trading.
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.
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.
Triple Stochastic RSI [XYZ-Trades]Triple Stochastic RSI (original work from XYZ-Trades) with some minor additions to allow user to move table.
EMA Angle Average by Eric ValerianoThis indicator determines market direction by calculating the angle of an exponential moving average and smoothing that angle over several bars. By averaging the EMA’s slope, it reduces noise and clearly classifies the market as bullish, bearish, or neutral based on trend strength rather than short term price fluctuations.
It is best used as a trend filter to confirm direction, avoid choppy conditions, and add context to entries based on other signals such as pullbacks, breakouts, or momentum setups.
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.
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.
TGIF RSI MIDWhen RSI crosses 50, shows a vertical line green for bullish and red for bearish will appear..
MACD-V (ATR Normalized)Per Financial Wisdom (YT):
Adjusted MACD = (EMA 12 - EMA 26 / ATR 26) x 100
Objective:
Mathematical definitions work universally across all markets and all timeframes
Improves readability and usability (values resemble RSI/MACD ranges instead of tiny decimals)
Makes threshold-based rules cleaner (e.g., ±50, ±100).
No change to signal quality — purely a scaling transformation.
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ ORIGINALITY
This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ WHAT IT DOES
- Generates BUY/SELL signals using machine learning classification
- Displays kernel regression estimate for trend visualization
- Shows prediction values on each bar
- Provides trade statistics (Win Rate, W/L Ratio)
- Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ HOW IT WORKS
【Lorentzian Distance Calculation】
Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation:
d = Σ log(1 + |xi - yi|)
This provides:
- Better handling of outliers
- More stable distance measurements
- Reduced sensitivity to extreme values
【Feature Engineering】
The classifier uses up to 5 configurable features:
- RSI (Relative Strength Index)
- WT (WaveTrend)
- CCI (Commodity Channel Index)
- ADX (Average Directional Index)
Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions.
【k-Nearest Neighbors Classification】
1. Calculate Lorentzian distance between current bar and historical bars
2. Find k nearest neighbors (default: 8)
3. Sum predictions from neighbors
4. Generate signal based on prediction sum (>0 = Long, <0 = Short)
【Kernel Regression】
Uses Rational Quadratic kernel for smooth trend estimation:
- Lookback Window: 8
- Relative Weighting: 8
- Regression Level: 25
【Filters】
- Volatility Filter: Filters signals during extreme volatility
- Regime Filter: Identifies market regime using threshold
- ADX Filter: Confirms trend strength
- EMA/SMA Filter: Trend direction confirmation
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H, Daily
- Neighbors Count: 8 (default)
- Feature Count: 5 for comprehensive analysis
【Signal Interpretation】
- Green BUY label: Long entry signal
- Red SELL label: Short entry signal
- Bar colors: Green (bullish) / Red (bearish) prediction strength
【Trade Statistics Panel】
- Winrate: Historical win percentage
- Trades: Total (Wins|Losses)
- WL Ratio: Win/Loss ratio
- Early Signal Flips: Premature signal changes
【Filter Recommendations】
- Enable Volatility Filter for ranging markets
- Enable Regime Filter for trend confirmation
- Use EMA Filter (200) for higher timeframes
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█ CREDITS
Original Lorentzian Classification concept and MLExtensions library by jdehorty.
Enhanced with visual modifications and alert integration by EduVest.
License: Mozilla Public License 2.0
