Kalman Hull Trend Score [BackQuant]Kalman Hull Trend Score
Overview
Kalman Hull Trend Score is a trend-strength and regime-evaluation indicator that combines two ideas, Kalman filtering and Hull-style smoothing, then measures persistence of that filtered trend using a rolling score. The goal is to produce a cleaner, more stable trend read than typical moving average tools, while still reacting fast enough to be practical in live markets.
Instead of treating a moving average as a simple line you cross, this indicator turns the filtered trend into an oscillator-like score that answers: “Is the smoothed trend consistently progressing, or is it stalling and degrading?”
Core idea
The indicator is built from two components:
A Kalman-based smoothing engine that estimates price state and reduces noise adaptively.
A Hull-style construction that uses multiple Kalman passes to create a responsive, low-lag trend filter.
Once the Kalman Hull filter is built, a persistence score is calculated by comparing the current Kalman Hull value to many past values. The result is a trend score that rises in sustained trends and compresses or flips during deterioration.
Why Kalman instead of standard smoothing
Traditional moving averages apply fixed smoothing rules regardless of market conditions. A Kalman filter behaves differently, it is designed to estimate an underlying state in noisy data, adjusting how much it “trusts” new price information versus prior estimates.
This script exposes that behavior through two key controls:
Measurement Noise: how noisy the observed price is assumed to be.
Process Noise: how much the underlying state is allowed to evolve from bar to bar.
Together, these settings let you tune the balance between smoothness and responsiveness without relying on blunt averaging alone.
Kalman filter mechanics (conceptual)
Each update cycle follows the classic structure:
Prediction: assume the state continues, and expand uncertainty by process noise.
Update: compute Kalman Gain, then blend the new price observation into the estimate.
Correction: reduce uncertainty based on how much the filter accepted the new information.
When measurement noise is higher, the filter becomes more conservative, smoothing harder. When process noise is higher, the filter adapts faster to regime changes, but can become more reactive.
Check out the original script:
Kalman Hull construction
The “Hull” component is not a standard HMA built from WMAs. Instead, it recreates the Hull idea using Kalman filtering as the smoothing primitive. The structure follows the same intent as HMA, reduce lag while keeping the line smooth, but does it with Kalman passes:
Apply Kalman smoothing over multiple effective lengths.
Combine them using the Hull-style weighting logic.
Run the combined output through another Kalman pass to finalize smoothing.
The result is a Kalman Hull filter that aims to track trend with less jitter than raw price, and less lag than slow averages.
Another Kalman Hull with Supertrend
Trend scoring logic
The trend score is computed by comparing the current Kalman Hull value to past Kalman Hull values over a fixed lookback range (1 to 45 bars in this script):
If current kalmanHMA > kalmanHMA , add +1
If current kalmanHMA < kalmanHMA , add -1
This produces a persistence score rather than a simple direction signal. Strong trends where the filter keeps advancing will accumulate positive comparisons. Weak trends, chop, or reversals will cause the score to flatten, decay, or flip negative.
Interpreting the score
Read the score as trend conviction and persistence:
High positive values: bullish persistence, the filtered trend is progressing consistently.
Low positive values: trend exists but is fragile, progress is slowing.
Near zero: indecision, range behavior, frequent challenges to structure.
Negative values: bearish persistence or sustained deterioration in the filtered trend.
The rate of change matters:
Score expansion suggests trend is gaining traction.
Score compression often signals consolidation or exhaustion.
Fast flips usually accompany regime transitions.
Signal thresholds and regime transitions
User-defined thresholds convert the score into regimes:
Long threshold: score must exceed this level to confirm bullish persistence.
Short threshold: a crossunder of the score triggers bearish regime transition.
This is intentionally conservative. Long bias is maintained while the score holds above the long threshold. Short transitions are event-triggered on breakdown via crossunder, helping avoid constant flipping during minor noise.
Signals are only plotted on regime changes (first bar of the flip), keeping them clean for alerts and backtests.
Visual presentation
The indicator provides multiple layers depending on how you want to use it:
Kalman Hull Trend Score oscillator, color-coded by active regime.
Optional Kalman Hull filter plotted on the price chart for structure context.
Optional threshold reference lines for quick regime mapping.
Optional candle coloring and background shading for instant readability.
You can run it as a pure score panel or as a combined panel + on-chart trend overlay.
How to use in practice
Trend filtering
Favor long setups when the score remains above the long threshold.
Reduce directional aggression when score compresses toward zero.
Treat a short-threshold breakdown as a regime risk event, not just a signal.
Trend quality assessment
Rising score supports continuation trades and adds confidence to breakouts.
Flat or falling score warns that trend persistence is fading.
If price trends but score fails to expand, trend may be weak or liquidity-driven.
Trade management
Use the Kalman Hull line as dynamic structure reference on chart.
Use score deterioration to scale out before a full regime flip.
Use regime flips as confirmation for bias shifts rather than prediction.
Tuning guidelines
Measurement Noise
Higher: smoother filter, fewer false shifts, slower to adapt.
Lower: more responsive, more sensitive to microstructure noise.
Process Noise
Higher: adapts quicker to sudden changes, but can become twitchy.
Lower: steadier state estimate, but slower during sharp regime transitions.
A practical approach is to first tune measurement noise until the Kalman Hull line matches the “clean trend structure” you want, then adjust process noise to control how quickly it reacts when the regime genuinely changes.
Summary
Kalman Hull Trend Score transforms a Kalman-based Hull-style trend filter into a quantified persistence oscillator. By combining adaptive Kalman smoothing with low-lag Hull logic and a rolling comparison score, it provides a cleaner read on trend quality than basic moving averages or single-condition trend tools. It is best used as a regime filter, trend strength gauge, and structure-aware trade management layer.
Pengayun
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.
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.
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.
BK AK-Crosswind Falcon🦅👑 BK AK–Crosswind Falcon (Falcon) 👑🦅
All glory to Gd — the true source of wisdom, restraint, and right timing.
AK is honor — my mentor’s standard: clarity, patience, no shortcuts, no gambling.
Falcon is a DMI/ADX “Zenith” engine built to do one thing clean: separate real wind from fake wind.
🧠 What It Is
Falcon is a non-overlay oscillator that converts classic +DI / -DI / ADX into a single signed momentum line called Zenith.
You get:
Instant Bias (no neutral): flips exactly when +DI crosses -DI
Regime Detection: TREND vs RANGE using an ADX threshold
Zenith Signal Crosses: EMA cross logic for controlled triggers
Bands / Extremes: dynamic (stdev) or static bands for stretch/exhaustion context
Execution Gates (optional): VWAP position + swing-break confirmation
MTF Bias (optional): higher-timeframe sign filter
Tiny HUD: a compact table with regime, bias, ADX, Zenith, velocity/accel, exhaustion + master score
Alerts: long/short triggers + regime switch
⚙️ The Zenith Core (How the line is built)
Falcon uses classic DMI:
diff = +DI − -DI
ADX = trend strength (smoothed)
Zenith has 3 formula options:
DI Spread × ADX (default)
→ directional DI spread “weighted” by trend strength
ADX Signed
→ ADX with direction sign from DI dominance
DX Signed
→ signed DX for a more “raw” directional read
Signal line: EMA of Zenith (Zenith Signal EMA).
🎯 What Prints Signals (Permission Logic)
Falcon only triggers when trend is ON and direction is aligned:
Long requires:
TREND regime (ADX ≥ threshold)
Bull bias (DI dominance: diff ≥ 0)
Zenith crosses above Signal
Optional gates pass (VWAP / swing break)
Optional HTF filter agrees (Zenith ≥ 0 on HTF)
Short requires:
TREND regime (ADX ≥ threshold)
Bear bias (diff < 0)
Zenith crosses below Signal
Optional gates pass (VWAP / swing break)
Optional HTF filter agrees (Zenith < 0 on HTF)
Key point: Color/bias flips are instant (DI dominance). Signals require trend + cross + gates.
🧱 Regime + Background (Trend vs Range)
Trend threshold (ADX) controls when Falcon considers the environment tradable.
Optional background shading:
Trend + Bull = green tint
Trend + Bear = red tint
Range = gray tint
Optional flash on regime/bias switches so you notice transitions immediately.
📏 Bands / Extremes (Context, Not Hype)
Choose:
Dynamic bands = stdev(Zenith) over lookback × multiplier
Static bands = fixed ± level
Use bands to read stretch / exhaustion risk:
Above upper band = overbought stretch (optional dot)
Below lower band = oversold stretch (optional dot)
This is not an auto-reversal call. It’s the “don’t get greedy / manage risk” layer.
🧰 Execution Gates (Optional Filters)
Falcon can require extra proof before firing:
VWAP Gate
“Above=Long” or inverse rule
Helps enforce “with the tape” positioning
Swing-Break Gate
Requires breaking prior N-bar high for long / N-bar low for short
Simple structure confirmation so crosses don’t trigger inside dead chop
MTF Bias (Higher-Timeframe Alignment)
Optional HTF Zenith sign filter
Keeps you from counter-signaling into a higher court trend
🖥 Tiny HUD (What the dashboard means)
The HUD summarizes:
REG (TREND/RANGE)
BIAS (BULL/BEAR)
ADX (strength)
ZEN (current Zenith)
VEL (Zenith velocity)
ACC (Zenith acceleration)
EXH (exhaustion flag based on extremes + reversal impulse)
M (master score: strength + momentum + accel + alignment − exhaustion penalty)
It’s designed to be one glance → one decision.
✅ Suggested Use (Clean workflow)
Start with Regime: only press when TREND is on (ADX threshold).
Respect Bias: DI dominance is the “instant truth.”
Wait for Cross: Zenith vs Signal cross is your trigger layer.
Turn on Gates if you want fewer trades: VWAP + swing break + HTF.
Use Bands for management: stretch = protect, not chase.
🔔 Alerts Included
ZEN-DMI Long (trend on + bull + cross up + gates)
ZEN-DMI Short (trend on + bear + cross down + gates)
Regime switch (Trend/Ranging change)
👑 King Solomon Lens — Proverbs: Hidden Wind, Refined Signal, Just Weight
Proverbs says the glory is in concealing a matter, and the king’s glory is searching it out. Falcon is built for that: finding the hidden wind inside the noise.
Proverbs also says remove the dross and you get a vessel — that’s your regime + filters stripping chop so only tradeable force remains.
And it’s ruthless about honest weights: Zenith is a measured weight of direction × strength, not vibes.
ZENITH: search what’s hidden, refine what’s noisy, weigh what’s real — then execute with authority.
🙏 Respect + Seal
Respect to AK — discipline, patience, clean execution.
All glory to Gd — the source of wisdom and endurance.
🦅👑 BK AK–Crosswind Falcon — read the wind, earn the move. 👑🦅
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.
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.
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.
Relative Strength Index (RSI) w/ Multi Time Frame w/ DivergencesThis indicator is an advanced evolution of the classic Relative Strength Index (RSI), designed to provide deeper market context by combining Momentum, Multi-Timeframe (MTF) analysis, and Divergences into a single, clean visual tool.
Unlike standard indicators, RSI MTF Pro v2 allows you to configure the Main RSI and the Background Trend Zone independently, giving you full control over your strategy (e.g., watching a 15m RSI while monitoring the 4H trend).
Key Features:
🚀 Dual MTF Engine: Completely independent settings for the Main RSI Line and the Background Zone. You can choose different Timeframes, Lengths, and Levels for each.
heatmap Style Background: The indicator background changes color (Red/Green) based on the MTF RSI trend, helping you filter out bad trades and stick to the dominant trend.
🎨 Smart Gradient Fills: To keep your chart clean, the gradient colors (Red/Green fills) only appear when the RSI breaches the Overbought or Oversold levels.
🎯 Divergence Detector: Automatically spots and marks Regular Bullish and Bearish divergences with pivot-based logic.
How to Use:
Trend Confirmation: Use the Background Color to determine the higher timeframe direction (e.g., Red Background = Uptrend).
Entry Signals: Look for RSI signals that align with the background color (e.g., RSI Oversold/Green Gradient + Green Background).
Reversals: Use the built-in Divergence circles to spot potential trend reversals.
Settings:
Main RSI: Customizable Timeframe, Length, OB/OS Levels.
MTF Background: Independent Timeframe, Length, and Zone thresholds (e.g., >60 Red, <40 Green).
Divergences: Toggle On/Off and adjust Pivot lookback periods.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice.
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.
IV History from Realized Volatility# Realized Volatility History - Quick Start Guide
## What This Does
Displays historical realized volatility (RV) calculated directly from price movements. Compare it against your current implied volatility to identify options trading opportunities and gauge whether premium is expensive or cheap.
## How to Use
1. **Get Current IV**: Check your broker's options chain and find the ATM (at-the-money) implied volatility for your ticker
2. **Input the Value**: Open indicator settings and enter the current IV (e.g., `0.15` for 15%) - this creates a reference line
3. **Read the Chart**:
- **Purple line** = Historical realized volatility from actual price movements
- **Red dashed line** = Your current ATM IV (reference)
- **Orange line** = 30-day moving average (optional)
4. **Interpret the Data**:
- **RV below IV** → Options premium is relatively expensive (consider selling premium)
- **RV above IV** → Options premium is relatively cheap (consider buying options)
- **IV Rank > 70%** → High volatility environment
- **IV Rank < 30%** → Low volatility environment
## Settings You Can Adjust
- **Current ATM IV**: Reference line for comparison (update periodically)
- **RV Rolling Window**: Calculation window for realized volatility (default: 10 days)
- **Lookback Period**: Period for IV rank calculation (default: 60 days)
- **Show 30-Day Average**: Toggle moving average line
## Limitations
This indicator requires manual IV updates since TradingView doesn't have direct access to options data. You'll need to check your broker periodically and update the input for accuracy.
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*Method: Calculates annualized realized volatility using rolling standard deviation of log returns, providing a comparison baseline for evaluating implied volatility levels.*
Quality-Controlled Trend StrategyOverview
This strategy demonstrates a clean, execution-aware trend framework with fully isolated risk management.
Entry conditions and risk logic are intentionally separated so risk parameters can be adjusted without altering signal behavior.
All calculations are evaluated on confirmed bars to ensure backtest behavior reflects real-time execution.
Design intent
Many scripts mix entries and exits in ways that make results fragile or misleading.
This strategy focuses on structural clarity by enforcing:
confirmed-bar logic only
fixed and transparent risk handling
consistent indicator calculations
one position at a time
It is intended as a baseline framework rather than an optimized system.
Trading logic (high level)
Trend context
EMA 50 vs EMA 200 defines directional bias
Entry
Price alignment with EMA 50
RSI used as a momentum confirmation, not as an overbought/oversold signal
Risk management
Stop-loss based on ATR
Fixed risk–reward structure
Risk logic is isolated from entry logic
Editing risk without affecting signals
All stop-loss and take-profit calculations are handled in a dedicated block.
Users can adjust:
ATR length
stop-loss multiplier
risk–reward ratio
without modifying entry conditions.
This allows controlled experimentation while preserving signal integrity.
Usage notes
Results vary by market, timeframe, and volatility conditions.
This script is provided for testing and educational purposes and should be validated across multiple symbols and forward-tested before use in live environments.
Money Flow Index (MFI) w/ Multi Time Frame DivergencesBack color MTF
Money Flow Index (MFI) w/ Multi Time Frame Divergences
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.
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.
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.
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! 📈**
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