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.
Osciladores
RSI Chebyshev Pro with Goldilocks Fractals [NPR21]RSI Chebyshev Pro with Goldilocks Fractals
- Advanced RSI oscillator combining Chebyshev Type I filtering, MESA adaptive algorithms, candlestick pattern recognition, and Williams Fractal pivot detection for comprehensive momentum analysis.
Core Features:
RSI Calculation
- Chebyshev Type I filtering for superior noise reduction
MESA Adaptive Moving Average for automatic cycle detection
Four display modes: Candles, Candles with Patterns, Heikin Ashi, Line
Adjustable RSI (1-10) and MA (1-10) line widths
Gradient-colored adaptive MA
Pattern Recognition
- Bullish/Bearish Engulfing: Green/red triangles with "Eng" labels
- Morning Star: Green label with diamond and up arrow (bullish reversal)
- Evening Star: Red label with diamond and down arrow (bearish reversal)
- Patterns require RSI confirmation (>60 bearish, <40 bullish)
- Vertical dashed lines mark all pattern occurrences
Goldilocks Fractals
- Williams Fractal methodology applied to RSI values
- BUY signals at swing lows, SELL signals at swing highs
- Bright green/red arrows maintain size at all zoom levels
- Customizable periods (default: 5), offsets, colors, and sizes
- Independent toggles for labels and shapes
Visual Design
- Hollow green bullish candles, solid red bearish candles
- Reference lines at 30, 50, 70 levels
- Professional gradient coloring (orange→yellow→green)
- Optimized for both light and dark themes
How to Use
- Settings
- Length (24): RSI calculation period
- Smoothing (3): Chebyshev smoothing factor
- Fractal Periods (5): Pivot lookback - lower = faster, higher = reliable
- MA Multiplier (1): Cycle detection sensitivity
- Line Widths: Adjust RSI and MA thickness (1-10)
Trading Applications
- Scalping (1m-5m): Fractal n=2-3, quick reversals
- Day Trading (15m-1H): Fractal n=4-5, pattern confluence
- Swing Trading (4H-Daily): Fractal n=6-8, major pivots
- Best signals: Multiple confirmations (fractal + pattern + RSI extreme)
Signal Priority
- Fractal SELL + Evening Star + RSI >70 = Strong bearish
- Fractal BUY + Morning Star + RSI <30 = Strong bullish
- Engulfing + Fractal + MA direction = High probability
- Always confirm with price action on main chart
Technical Details:
Uses Chebyshev filters for minimal phase distortion and sharp noise cutoff. MESA algorithm detects dominant market cycles (1-2048 bars) for adaptive MA calculation. Patterns require multi-bar body analysis, trend context, and RSI level confirmation. Fractals use ta.pivothigh/pivotlow on RSI values with n-period offset to prevent repainting.
Performance
No repainting - fractals appear n bars after formation. Optimized calculations for multiple indicator use. Works on all timeframes and asset classes. Compatible with desktop and mobile platforms.
Credits;
Original RSI concept by ChartPrime. Chebyshev filtering from signal processing theory. MESA algorithm by John Ehlers. Williams Fractals by Bill Williams. Conversion and integration by NPR21.
License: Mozilla Public License 2.0
Disclaimer: For educational purposes only. Use proper risk management. Past performance does not guarantee future results.
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.*
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.
[QuantLabs] Kinetic Fusion Ultra The Problem with Standard Indicators Most trading indicators fail for one simple reason: They are Static. A standard Stochastic or CCI uses fixed variables that might work perfectly on EURUSD but fail completely on Bitcoin or Gold. This forces you to constantly tweak settings to avoid false signals, and usually, by the time you adjust them, the move is over.
Kinetic Fusion Ultra Kinetic Fusion Ultra solves this by combining Stochastic Position (Static) with Adaptive Momentum (Velocity). At its core is a proprietary Adaptive Normalization Engine. This algorithm "learns" the volatility of the asset over the last 100 bars and auto-scales the momentum data to fit perfectly into a 0-100 oscillator window.
Whether you are scalping a 1-minute Crypto chart or swinging a Weekly Stock chart, the signals remain mathematically consistent.
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.
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. 👑🦅
Dynamic Sentiment RSI + Steroid CCI [Combined]RSI Swing Structure (LL, LH, HH, HL)
✅ RSI Sentiment Direction (Up / Down)
✅ CCI Steroid Direction (Up / Down)
✅ Buy Signal when:
RSI Swing makes LL or HL, AND
RSI Sentiment trending UP, AND
CCI trending UP
✅ Sell Signal when:
RSI Swing makes HH or LH, AND
RSI Sentiment trending DOWN, AND
CCI trending DOWN
Nov 22, 2025
Release Notes
RSI Swing Structure (LL, LH, HH, HL)
✅ RSI Sentiment Direction (Up / Down)
✅ CCI Steroid Direction (Up / Down)
✅ Buy Signal when:
RSI Swing makes LL or HL, AND
RSI Sentiment trending UP, AND
CCI trending UP
✅ Sell Signal when:
RSI Swing makes HH or LH, AND
RSI Sentiment trending DOWN, AND
CCI trending DOWN
Money Flow Index (MFI) w/ Multi Time Frame DivergencesBack color MTF
Money Flow Index (MFI) w/ Multi Time Frame Divergences
VWAP x EMA9 Crossover (FLIP BUY/SELL)Another simple script, please use as needed and provide any feedback back or recommendations
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.
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.
[xProfit] Trend Pulse MTF Trend Pulse MTF — Multi-Timeframe Momentum Oscillator
Trend Pulse MTF is an advanced momentum oscillator that aggregates multiple technical indicators across various timeframes to provide a comprehensive market analysis. The indicator combines RSI, Wave Trend, Bollinger Bands Trend, and Laguerre RSI into a single normalized momentum value, helping traders identify overbought/oversold conditions, trend direction, and potential reversal points with high precision.
The indicator displays data from five timeframes (30M, 1H, 4H, 1D, 1W) simultaneously, allowing traders to align their trades with higher-timeframe trends while optimizing entry timing on lower timeframes.
Key Features
• Multi-Indicator Aggregation: Combines 4 different momentum indicators (RSI, Wave Trend, BBTrend, Laguerre RSI) into one normalized value.
• Multi-Timeframe Analysis: Displays momentum data from 5 timeframes (30M, 1H, 4H, 1D, 1W) to identify trend alignment and confluence.
• 8-Color Confluence Histogram: 8 distinct colors represent various combinations of trend directions on the 30M, 1H, and 4H timeframes for instant visual clarity.
• Dynamic Signal Line: An EMA-based signal line that changes color based on the 1D trend direction, helping to identify trend shifts and crossovers.
• Extreme Zone Detection: Automatic identification of FOMO (Overbought) and FEAR (Oversold) zones across multiple timeframes.
• MTF Dashboard: A real-time on-chart table (best viewed on 1H) showing values, EMA difference, and trend direction for all major timeframes.
• Adaptive Normalization: BBTrend values are automatically normalized based on the current chart timeframe for consistent and reliable readings.
• Webhook Integration: Built-in support for automated trading alerts with detailed multi-timeframe JSON data.
How the Indicator Works
Core Components
1. Aggregated Momentum Value:
The indicator calculates a composite momentum score by combining:
◦ RSI (Relative Strength Index): Normalized to a -100 to +100 scale. Measures price momentum and overbought/oversold conditions.
◦ Wave Trend (WT): Based on the Trend Channel Index (TCI). Normalized from -100 to +100. Identifies momentum waves and divergences.
◦ BBTrend (Bollinger Bands Trend): Measures the relationship between short and long Bollinger Bands. It scales automatically based on the timeframe.
◦ Laguerre RSI: An advanced RSI variant with gamma-smoothing that reduces lag while filtering out market noise.
2. Signal Line (EMA Difference):
◦ Calculation: The signal line is created by calculating the difference between the Aggregated Value and Laguerre RSI, then applying an EMA smoothing.
◦ Color Coding: The signal line is Green when the 1D timeframe is in an uptrend (Aggregated Value > EMA Difference) and Red during a downtrend.
3. Multi-Timeframe Data:
Each timeframe provides its own aggregated value and EMA difference, allowing traders to see trend alignment across different time horizons.
Trading Logic & Signal Interpretation
Bullish Signals (Buy Setup):
• Histogram bars are in the negative zone (Oversold; values vary by asset, typically below -60/-80).
• Bars begin to close ABOVE the EMA Difference line (crossover).
• Higher timeframes (4H, 1D, 1W) show bullish confirmation.
• The Signal Line turns Green (1D uptrend).
• Color transition: Dark Red/Maroon → Blue/Purple → Green.
• Interpretation: The market is exiting oversold conditions and starting a bullish reversal. The deeper the oversold reading and the higher the confirming timeframe, the stronger the signal.
Bearish Signals (Sell Setup):
• Histogram bars are in the positive zone (Overbought; typically above +60/+80).
• Bars begin to close BELOW the EMA Difference line (crossover).
• Higher timeframes (4H, 1D, 1W) show bearish confirmation.
• The Signal Line turns Red (1D downtrend).
• Color transition: Dark Green/Green → Orange/Gold → Red.
• Interpretation: The market is exiting overbought conditions and starting a bearish reversal.
Trend Following Strategy
• Uptrend Confirmation: When histogram bars consistently close ABOVE the EMA Difference line. Dark Green color represents the strongest uptrend (30M, 1H, and 4H are all bullish).
• Downtrend Confirmation: When histogram bars consistently close BELOW the EMA Difference line. Maroon color represents the strongest downtrend (30M, 1H, and 4H are all bearish).
Extreme Zones (FOMO & FEAR)
• FOMO Zone (Extreme Overbought): When 1H, 4H and 1D shows an aggregated value > +100, a Light Blue horizontal line appears. This indicates extreme greed/overbought conditions. These are warning zones where a reversal is likely.
• FEAR Zone (Extreme Oversold): When 1H, 4H and 1D shows an aggregated value < -100, a Purple horizontal line appears. This indicates extreme fear/oversold conditions. These are often high-probability buying opportunity zones.
Timeframe Usage Guide
• Long-Term Investments (1D/1W): Use 1D and 1W signals for long-term position building. Enter on FEAR zone crossovers and exit on FOMO zone crossovers. Best for swing traders and investors.
• Swing Trading (4H/8H/12H): Focus on the 4H trend. Use 1D/1W for confirmation. Enter when 4H crosses above the EMA Difference in the oversold zone.
• Day Trading (1H/30M): Primary analysis on 1H, entries on 30M or 15M. Check the MTF Dashboard for alignment. Trade in the direction of the 4H and 1D trends.
• Scalping (15M and lower): Very short-term trades. MUST align with 1H and 4H for best results. Use strict risk management.
Understanding the 8-Color Scheme
The histogram uses 8 colors to show the trend direction combination across three timeframes (30M, 1H, 4H):
• Dark Green: (30M ↑, 1H ↑, 4H ↑) — Maximum Bullish Confluence.
• Green: (30M ↓, 1H ↑, 4H ↑) — Strong Uptrend, minor pullback on 30M.
• Purple: (30M ↑, 1H ↓, 4H ↑) — Mixed trend, 1H correction within 4H uptrend.
• Gold: (30M ↓, 1H ↓, 4H ↑) — Weakening uptrend, potential reversal warning.
• Blue: (30M ↑, 1H ↑, 4H ↓) — Weakening downtrend, potential reversal forming.
• Orange: (30M ↓, 1H ↑, 4H ↓) — Mixed trend, 1H rally within 4H downtrend.
• Red: (30M ↑, 1H ↓, 4H ↓) — Strong downtrend, minor bounce on 30M.
• Maroon: (30M ↓, 1H ↓, 4H ↓) — Maximum Bearish Confluence.
MTF Dashboard Table
When active, the dashboard shows:
• Value: Current aggregated momentum (Color-coded by strength).
• EMA Diff: Current signal line value.
• Trend: Real-time direction (Uptrend/Downtrend).
Dashboard Color Rules:
• Extr. Overbought (>100): Maroon | Strong (>61): Red | Moderate (>30): Orange | Neutral: Yellow | Moderate Oversold (<-30): Lime | Strong (<-61): Green | Extr. Oversold (<-100): Dark Green.
Dashboard Color Rules (Other TFs):
• Extr. Overbought (>100): Maroon | Strong (>81): Red | Moderate (>61): Orange | Neutral: Yellow | Moderate Oversold (<-81): Lime | Strong (<-100): Green | Extr. Oversold: Dark Green.
Best Practices & Risk Management
• Alignment is Key: Always check higher timeframe alignment before entering.
• Wait for Close: Signals are only valid once the candle has closed.
• Risk Control: Never risk more than 1-2% per trade. Use stop-losses below recent swing lows (for longs) or above swing highs (for shorts).
• Avoid Chasing: Do not enter late when the market is already deep in FOMO or FEAR zones.
Webhook Integration
The indicator sends data from the PREVIOUS (confirmed) candle to ensure 100% accuracy and eliminate any possibility of repainting.
{ "signal": "Trend Pulse Status Update", "ticker": "BTCUSDT.P", "data_1H": { "val": 45.20, "ema_diff": 12.50, "is_uptrend": true }, "data_4H": { "val": -15.40, "ema_diff": -5.10, "is_uptrend": false }, "data_1D": { "val": 85.00, "ema_diff": 40.20, "is_uptrend": true }, "data_1W": { "val": 110.00, "ema_diff": 95.00, "is_uptrend": true } }
I hope this tool helps you in your trading journey. Feel free to leave your feedback and questions in the comments below! Boost it if you find it useful!
Disclaimer
IMPORTANT: This indicator is a technical analysis tool designed to assist in trading decisions. It does not provide investment advice and should not be the sole basis for any trading decision.
All trading involves substantial risk of loss. Past performance does not guarantee future results. The indicator's signals are based on mathematical calculations and do not predict future market movements with certainty.
Extreme zones (FOMO/FEAR) indicate overbought/oversold conditions but markets can remain in these zones for extended periods. Always use proper risk management, stop losses, and position sizing.
The multi-timeframe data is provided for informational purposes. Higher timeframe trends can change, and lower timeframe noise can generate false signals. Always conduct your own analysis and consider consulting with a qualified financial advisor before making trading decisions.
RSICó RSI (14)
và 2 đường EMA
EMA (9)
WMA (45)
RSI cắt lên thì chuyển xanh
RSI cắt xuống thì chuyển đỏ
MACD Power HAIndicator Name: MACD Power HA
Subtitle: Standardized Heikin-Ashi Momentum Oscillator
Description: The MACD Power HA is an advanced momentum oscillator designed to provide a clearer visualization of market trends compared to the traditional MACD. By transforming standardized MACD values into Heikin-Ashi candles, this indicator filters out market noise and highlights the true strength ("Power") of the current trend.
Unlike a standard MACD, this version normalizes volatility, allowing for more consistent Overbought (OB) and Oversold (OS) detection across different timeframes and assets.
Key Features:
Heikin-Ashi Smoothing: Converts raw momentum data into smooth candles, making it easier to spot trend continuations and reversals without the "choppiness" of standard lines.
Standardized Calculation: Automatically adjusts to volatility, ensuring that signals remain reliable whether the market is quiet or volatile.
Reversion Signals: Displays visual markers (Triangles) when the price reaches extreme Overbought or Oversold levels and begins to reverse.
Hybrid Display: Includes a Signal line and a Histogram to confirm momentum strength.
New Customization Options:
Fully Customizable Colors: Users can now independently configure colors for Up/Down candles, the Histogram, and the Signal line to match their chart theme.
Toggleable Background Bands: Includes adjustable Overbought/Oversold background zones that can be toggled On/Off or recolored to reduce visual clutter.
How to Use:
Trend Following: Look for a sequence of Green Candles (above the midline) for bullish momentum and Red Candles (below the midline) for bearish momentum.
Entries: A change in candle color often signals an entry point (e.g., Red to Green crossover).
Exits/Reversals: Watch for the colored Triangles or when the candles reach the outer background bands, indicating the move may be overextended.
IFT CCI + IFT RSI Average by ysfgnrIFT CCI + IFT RSI Average is a momentum-based oscillator that combines the Inverse Fisher Transform (IFT) of the Commodity Channel Index (CCI) and the Relative Strength Index (RSI) into a single, normalized impulse signal.
The indicator is designed to provide a smoother and more interpretable view of momentum dynamics by transforming traditional oscillators into a bounded range and blending them using adjustable weight ratios.
Core Concept
Both CCI and RSI are calculated, smoothed, and transformed using the Inverse Fisher Transform, which compresses values into a range between -1 and +1.
This transformation improves visual clarity and makes momentum shifts easier to interpret.
The final impulse value is calculated as a weighted average of the IFT-transformed CCI and RSI components.
Weighting Logic
The IFT CCI Weight (%) and IFT RSI Weight (%) inputs control the relative contribution of each component to the final impulse value.
The weights are automatically normalized, meaning the combined contribution always equals 100%, regardless of the selected ratio.
This allows users to emphasize CCI-based momentum, RSI-based momentum, or maintain a balanced blend without affecting overall stability.
Trend Interpretation
The impulse signal is interpreted using fixed threshold levels:
Values above +0.5 indicate strong bullish momentum
Values below -0.5 indicate strong bearish momentum
Values between these levels represent weaker or developing momentum states
An optional Early Trend Entry Mode allows trend detection to begin earlier using predefined threshold logic, without altering the strong trend boundaries.
Multi-Timeframe Support
The indicator supports multi-timeframe analysis.
IFT CCI and IFT RSI calculations can be performed on a user-selected timeframe, while the results are displayed on the current chart timeframe.
This allows higher-timeframe momentum to be analyzed within lower-timeframe price action.
Trend Duration Statistics
The script tracks bullish and bearish trend durations measured in bars and provides statistical summaries using either:
Average duration, or
Median duration, which reduces the influence of extreme values
A progress metric shows how the current trend compares to its historical duration, expressed as a percentage.
Visuals and Table
The impulse line is color-coded based on trend direction and strength
A compact statistics table displays:
Current trend state
Average or median trend duration
Current trend length
Progress relative to historical norms
Table size and position are fully configurable.
Alerts
Alert conditions are provided for:
Strong bullish and bearish momentum starts
Weak trend entries (when enabled)
Trend direction changes
Trend duration threshold warnings
Alerts are designed to notify state changes rather than predict future price movement.
Important Notes
This indicator is intended for analytical and educational purposes.
It does not provide trading signals, predictions, or financial advice.
Users are encouraged to combine it with other tools and apply their own judgment.
EMA Trend Stack + ISR VEL - Sweep v3This indicator is a market-regime and level-awareness dashboard designed to help traders quickly understand the day’s conditions and plan trades with clearer risk control. It combines options-derived context, price-based structure, and session-aware behavior into a single, easy-to-read display.
What it does
Identifies the current market regime (expansion vs compression / trend vs mean-reverting behavior).
Maps key reference levels (equilibrium/magnet zones, upper/lower boundaries, and important reaction areas).
Provides directional context using a blend of market structure + risk regime (not a “magic buy/sell” system).
Generates actionable guidance like “trade extremes,” “trade continuation,” or “reduce targets,” depending on conditions.
Adapts to the session (different behavior during regular hours vs off-hours).
How to use it
Use the displayed levels as decision zones, not guaranteed entries.
In mean-reverting conditions, focus on reactions near extremes with tighter targets.
In trend/expansion conditions, prefer continuation setups and avoid fading momentum prematurely.
Use the regime output to size risk and set expectations for follow-through.
Main use to is identify market Sweeps levels.
Viper Screener🔶 Overview
The Mkt-Viper Screener is the tactical command center of the Viper Suite. It is a multi-asset Telemetry Dashboard designed to provide market-wide situational awareness in a single glance.
Instead of flipping through dozens of charts to find setups, the Viper Screener processes up to 20 assets simultaneously, running them through the core "Viper V5" calculation kernel. It instantly categorizes market conditions based on Trend, Structure, Mean Reversion, and Momentum, allowing you to identify high-probability confluences across the entire market instantly.
🔶 What makes Mkt-Viper Screener unique?
While most screeners only look at simple Moving Averages or RSI, this tool runs a Regenerative Calculation Kernel. It miniaturizes the complex math found in the Viper Pro, Edge, and Oscillator and runs lightweight versions of them on 20 different tickers in the background.
It serves as the "Nexus" of the system, synchronizing the logic of the entire suite into a unified Heads-Up Display (HUD).
Main Features
The dashboard organizes data into four critical dimensions of market analysis:
🔶 1. Trend Signal (The "Pro" Engine)
This column utilizes the Viper Trend Signal logic found in the Mkt-Viper Pro.
BUY:
The asset is in a confirmed Bullish Trend.
SELL:
The asset is in a confirmed Bearish Trend.
🔶 2. Viper Band Status
This column calculates the asset's location relative to the dynamic volatility band.
ABOVE:
Price is extended to the upside (Potential Breakout or Overextension).
BELOW:
Price is extended to the downside.
INSIDE:
Price is trading within the mean-reversion channel (Consolidation).
🔶 3. Market Structure
This analyzes the swing points (Pivots) of the asset to determine the structural bias.
BULLISH:
The asset is making Higher Highs/Lows.
BEARISH:
The asset is making Lower Highs/Lows.
🔶 4. Oscillator Momentum
This utilizes a gravity-based momentum calculation similar to the Viper Oscillator.
RISING ↗:
Velocity is expanding upward.
FALLING ↘:
Velocity is expanding downward.
🔶 Global Auto-Tuning
The screener includes the Viper Synapse Tuner. You can set the sensitivity of the Trend Engine globally.
Fast:
For scalping multiple tickers on lower timeframes.
Moderate:
The standard setting for Swing Trading.
Slow:
For filtering macro-trends across the market.
🔶 Visual Intelligence (UI)
The interface is built with a "Glassmorphism" aesthetic designed to overlay cleanly on your chart without obstructing price action.
Positioning: Fully customizable (Top/Bottom, Left/Right).
Size: Scalable text to fit 4K monitors or Laptops.
🔶 How to use: The "Royal Flush" Workflow
The Screener is designed to find Alignment in the Market.
Step 1: Configuration
Input your favorite 20 assets (Crypto, Forex Pairs, or Indices) into the settings menu. Set the "Screener Timeframe" to your higher timeframe bias (e.g., 4 Hour or Daily).
Step 2: The Scan
Watch the dashboard. You are looking for Total Confluence.
The Strategy:
Full Bullish Lock: When the Trend is BUY, Structure is BULLISH, and Momentum is RISING. This indicates a high-probability impulse move is underway.
Contrarian Scan: If Trend is BUY, but the Viper Band says "ABOVE" and Momentum is "FALLING," the asset is likely due for a pullback. This alerts you to check the chart for a short setup.
🔶 Technical Note: Data Updates & Repainting
Real-Time Recalculation:
The dashboard updates in real-time. This means the status of the Current Open Candle (e.g., the current 4-Hour bar) is fluid. If price is fluctuating around the trendline, the "TREND" cell may flip between BUY and SELL until the candle officially closes. This is normal behavior for real-time monitoring tools.
Historical Data:
This script utilizes request.security with lookahead=barmerge.lookahead_off. This ensures that historical data does not repaint. Once a candle closes and a status is locked, it will never change.
Data Loading:
When loading the screener for the first time, allow the script a moment to fetch data for all 20 tickers. If a cell shows "NaN" or blank, it typically resolves on the next tick.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, back test, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Reversal Sniper StrategyOverview
This strategy is designed for traders who want to capture high-probability reversals on the 15-minute chart for volatile/trending stocks. It combines multiple confirmation signals, controlled scaling, and risk management to deliver structured entries and exits. Includes webhook integration for automated execution and optional chart labels for transparency.
How It Works
Entry:
Monitors clusters of (extreme) oversold conditions and weakening downward momentum by combining RSI and MACD.
Uses a confirmation counter (minBuyCount) so you can decide how many signals to wait for before entering. Higher minBuyCount = fewer trades, often higher reliability and less drawdown but may miss fast reversals.
Exit:
Detects clusters of overbought conditions and fading upward momentum.
ATR-based take-profit.
Partial exit (50%) at first sell signal above entry price.
Risk controls include:
Time-based exit via MaxBarsInLosingTrade (default: 150 bars ≈ 37.5 hours on 15m).
Key Features
Budget control: Set BudgetPerOrder and TotalBudget to cap position size and number of entries (e.g., $10,000 total / $2,500 per order = max 4 buys).
Confirmation tuning: minBuyCount: Higher values = fewer trades, sometimes less drawdown but more reliable. ATR multiplier: Adjust profit targets to match volatility. Backtesting suggests that 4 or 5 are generally optimal values. Always backtest.
Webhook-ready: Sends structured JSON alerts for automated execution via broker APIs (tested with IBKR).
Optional chart labels: Enable Show Buy/Sell Labels (default: false) to visualize signals on the chart for transparency, even when trades are restricted by your settings. use 'true' while backtesting new settings for minBuyCount.
Recommended Settings
Timeframe: 15-minute chart only.
Minimum Buy Count before entry: 2
Reset Buy Count after Entry: 1
MaxBarsInLosingTrade: 150 (don’t adjust too much; reversals need time).
ATR multiplier: Start around 4–5; adjust per ticker.
This default setting buys after the second buy label occurs and with Reset Buy count after Entry = 1 you buy again when a new label occurs. There is a total reset of the buycount after a Sell Label or a close of the open entries.
Performance Examples
Since 2025-01-01 with 0.3% commission
TSLA : ~103 buys, ~84% win rate, ~60% net P&L;
OPEN: ~109 buys ~80% win rate, ~280% net P&L;
BE: ~70 buys, ~90% win rate with adjusted ATR settings to 4, ~90% net P&L;
(Results vary by ticker, tuning required and past performance ≠ future results.) Not all stocks show the same results!
See attached screenshots for confirmation.
Pricing
Launch price: $25/month (early adopters).
Planned price: $40/month after initial rollout.
Webhook examples
Entry
{
"secret": "",
"symbol": "{{ticker}}",
"action": "BUY",
"qty": ,
"price": ,
"reason": "entry_signal",
"currency": "",
"createdby": "Reversal_TV_15m",
"timeframe": "15"
}
Full close
{
"secret": "",
"symbol": "{{ticker}}",
"action": "SELL_FULL",
"qty": 1,
"price": ,
"reason": "take_profit_or_time_exit",
"createdby": "Reversal_TV_15m",
"timeframe": "15"
}
Partial close (50%)
{
"secret": "",
"symbol": "{{ticker}}",
"action": "SELL_PARTIAL",
"qty": 1,
"price": ,
"reason": "sell_partial_signal",
"createdby": "Reversal_TV_15m",
"timeframe": "15"
}
Qty = 1 because as of now i’m determining the sell quantity in python.
Mini FAQ
Q: Does it work on all tickers?
A: No, volatile stocks with good volume usually perform better. Use the default settings to screen good performing tickers. Adjust minBuyCount, ATR multiplier, and MaxBarsInLosingTrade per ticker to optimize.
Q: What are generally better performing tickers?
A:TSLA,OPEN,BE,HUT, WULF, NBIS (settings may vary).
Q: Why do you use a time-based exit?
A: After backtesting it became clear that a 'normal' price or ATR-based stoploss performed worse for the better performing tickers. With the time based exit the reversal has time to take place. 150 bars is approximately 5 tradingdays. Don't set the MaxBarsInLosingTrade too high! A reversal is not a given. Sometimes you have to exit the trade.
Q: Can I see where signals occur?
A: Yes! Enable Show Buy/Sell Labels in the settings (default: false) to visualize signals on the chart.
Disclaimers
This strategy is for educational purposes only and is not financial advice. Markets are risky; past performance does not guarantee future results. Test thoroughly and never risk capital you cannot afford to lose.
Blockcircle MTE V2 - Momentum Trading EngineBlockcircle MTE V2 - Momentum Trading Engine is a comprehensive multi-indicator trading strategy designed for cryptocurrency and traditional markets. It combines momentum analysis, trend confirmation, and smart money indicators to identify high-probability entry and exit points across any timeframe.
This was built with the expert help of quantitative traders and investors in Blockcircle. MTE V1 was released in 2023, and MTE V2 was released in 2024. There is another version called the MTE V3 , which was released in 2025. MTE V2 uses a different methodology and has different modular functions.
MTE V2 excels at capturing momentum-driven moves by synthesizing signals from multi-timeframe momentum oscillators, RSI boundaries, Heikin-Ashi candle analysis, Slow Stochastic crossovers, and institutional Open Interest data-all within a single framework.
KEY FEATURES
Multiple Entry Conditions below
T3-CCI Momentum Indicator - Smoothed CCI using stacked moving averages for noise-reduced momentum signals with configurable thresholds and multi-timeframe confirmation
RSI Boundary Conditions - Dual RSI filters with customizable timeframes, periods, and operators to confirm overbought/oversold zones
Heikin-Ashi Analysis - Optional Heikin-Ashi candle patterns including Higher Highs/Lower Lows detection for early trend shift identification
Slow Stochastic Filter - K/D crossover confirmation with customizable smoothing to validate momentum direction
Open Interest Integration - Monitor institutional positioning via aggregated OI data from Binance, BitMEX, and Kraken
Price Level Conditions - Up to 3 configurable price levels using EMA, SMA, HMA, or raw price across any asset and timeframe
Multi-Timeframe Confirmation - Validate signals against higher timeframes to filter noise and align with larger trends
Multiple Exit Conditions below
Fixed Stop Loss & Take Profit - Percentage-based SL/TP with automatic position management
Trailing Stop Loss - Dynamic trailing stop that activates after reaching profit threshold, with configurable trail distance
Exit on Opposite Signal - Option to close positions when contrary signals appear (disables TP when enabled)
HTF Exit Triggers - Exit positions based on percentage changes on higher timeframes
T3-CCI Invalidation - Close trades when momentum invalidates beyond specified thresholds
Open Interest Exit - Exit based on institutional OI threshold breaches
Automation & Alerts
Bot-Compatible Alert Messages - Clean, standardized alerts (LONG_OPEN, LONG_CLOSE, SHORT_OPEN, SHORT_CLOSE) compatible with 3Commas, Cornix, WunderTrading, Binance Signal Bot, ByBit Signal Bot, and other execution services
Dual Alert System - Works with both "Order fills only" AND "alert() function calls only" TradingView alert modes
Customizable Alert Text - Full control over entry and exit message content for any webhook format
Limit Order Support - Optional limit order entries with adjustable price offset for better fills
Backtesting & Analysis
Flexible Date Range - Define precise start and end dates for historical backtesting
Visual Trade Markers - Clear triangular markers showing entry points on the chart
Stop Loss Visualization - Real-time SL level plotting for active positions
Price Level Overlays - Optional display of EMA/SMA/HMA reference levels
How It Works
Signal Generation
MTE V2 generates entry signals when multiple configured conditions align:
Momentum Confirmation - shows increasing/decreasing momentum above threshold
RSI Validation - Price is within specified RSI bounds (e.g., RSI < 64 for longs)
Stochastic Alignment - Slow Stochastic shows rising/falling momentum
Price Level Check - Current price satisfies the relationship with the configured moving averages
Open Interest Filter - Institutional positioning meets threshold requirements
Position Management
Once in a trade, MTE V2 continuously monitors:
Stop loss levels (fixed or trailing)
Take profit targets
Opposite signal generation
Higher timeframe invalidation
Momentum reversal
Configuration Guide
Step 1: Define Backtest Period: Set your desired historical date range for strategy testing.
Step 2: Configure Entry Conditions: Enable and tune the indicators you want to use:
Momentum: Best for trending markets, adjust period and threshold sensitivity
RSI Bounds: Set overbought/oversold levels based on asset volatility
Heikin-Ashi: Enable for smoother trend detection, especially on lower timeframes
Slow Stochastic: Fine-tune K, D, and smoothing periods for your asset
Price Levels: Define key EMA/SMA levels that act as support/resistance
Step 3: Set Exit Rules: Configure your risk management:
Stop Loss: Recommended 5-15% for crypto, 2-5% for traditional markets
Take Profit: Set based on average winning trade expectations
Trailing Stop: Enable for trend-following strategies to lock in profits
Step 4: Configure Alerts: Set up alerts for automated trading:
Use default messages (LONG_OPEN, etc.) for most bots
Customize messages for specific webhook JSON formats
Create alerts using "Order fills only" for most reliable execution
Bot Integration
MTE V2 sends clean, standardized signals perfect for automated trading:
Default Alert Message using order_fills()
Open Long - LONG_OPEN using alert()
Close Long - LONG_CLOSE using alert()
Open Short - SHORT_OPEN using alert()
Close Short - SHORT_CLOSE using alert()
Compatible Platforms:
3Commas
Cornix Bot
WunderTrading
Binance Signal Bot
ByBit Signal Bot
Alertatron
TradingView Webhooks
Any JSON webhook service
If you would like to try it live, please comment below or send me a DM!
The FULL USER GUIDE with step-by-step instructions is posted HERE
ZScore Blowout Screener 20 symbols custom timeIt calculates the Z-score (how many standard deviations price is from its mean) for 20 user-configurable symbols (default: major ETFs like TLT, GLD, SLV, USO, etc. + TSLA) on a single chosen timeframe (default 15-min).
On the last bar it builds and displays a sortable table overlay on the chart showing:
Rank by absolute Z-score (highest deviation first)
Symbol
Signed Z-score (or absolute if toggled)
Absolute Z-score column
Rows with |Z| ≥ user-defined "blowout" threshold (default ≥2.0) are highlighted in red/lime with brighter text. Optional mode blanks non-blowout Z-values while keeping rows visible.
The table position, text size, and number of displayed rows are customizable. It's designed as a quick visual scanner for extreme short-term deviations across diversified assets.
