BTC Future CME Cross-Market DetectorProject Spec: BTC CME Cross-Market Detector
1. Project Overview
Indicator Name
CME Cross-Market Detector
Objective
To identify high-probability trade setups by detecting and confirming "smart money" activity across two distinct market venues simultaneously: a primary crypto exchange (e.g., Bybit, Binance) and the institutional CME futures market.
Core Philosophy
Price movements are often preceded by the positioning of large, institutional players ("smart money"). While their activity can be seen on any single exchange, the signal becomes exceptionally reliable when the same footprint appears at the same time in both the broader crypto derivatives market and the highly regulated institutional futures market. This dual-market confirmation acts as a powerful noise filter, isolating signals that have a higher probability of follow-through.
2. Key Concepts & Signal Logic
The indicator's entire foundation rests on confirming that specific conditions are met on two datasets at the same time: (1) The user's current chart (e.g., BYBIT:BTCUSDT) and (2) The CME Bitcoin Futures chart (CME:BTC1!).
Smart Volume Analysis
To gauge buying vs. selling pressure, the total volume of a single candle is algorithmically split. This is not a perfect science but an effective estimation based on the candle's structure.
Buying Pressure is considered proportional to the distance the price closed from the low. Buying Pressure ≈ Total Volume × ((Close - Low) / (High - Low))
Selling Pressure is considered proportional to the distance the price closed from the high. Selling Pressure ≈ Total Volume × ((High - Close) / (High - Low))
Signal Trigger Conditions
For a potential signal to be identified on each market independently, two conditions must be met:
Volume Spike: The volume of the current candle must be significantly higher than the recent average volume (e.g., >150% of the 20-period moving average). This shows a sudden, high level of interest.
Pressure Imbalance: The estimated buying pressure must overwhelm the selling pressure by a certain factor (e.g., 3x), or vice versa for a sell signal. This indicates a clear directional intent.
The Final Confirmed Signal
A signal is only considered valid and plotted on the chart when the Signal Trigger Conditions (both Volume Spike and Pressure Imbalance) are met on both the primary chart and the CME chart on the very same candle.
3. Signal Strength Calculation
The percentage shown on the chart is a Signal Strength Score (0-100%), which rates the quality and conviction of the confirmed signal.
The score is calculated as follows:
Base Score Calculation (0-100 points): A base score is calculated for each market (primary and CME) by combining two factors:
Volume Component (0-50 pts): Measures the intensity of the volume spike. A 300% volume spike will score higher than a 150% spike.
Imbalance Component (0-50 pts): Measures the intensity of the buy/sell pressure ratio. A 5x imbalance will score higher than a 3x imbalance.
Advanced Modifiers (Bonus Points): The base score is then enhanced with bonus points for favorable conditions:
Trend Alignment (+10 pts): A buy signal that occurs during a clear uptrend receives extra points.
Candle Structure (+10 pts): A buy signal on a candle with a long lower wick (indicating rejection of lower prices) receives extra points.
Final Averaged Score: The final percentage you see is the average of the two individual strength scores calculated for the primary exchange and the CME market.
4. Visualization
Energy Waves: Signals are displayed as circles. Green for Buy Signals (below the candle) and Red for Sell Signals (above the candle).
Dynamic Sizing: The size of the circle directly reflects the Signal Strength Score, categorized into four distinct levels (e.g., 10%+, 40%+, 60%+, and 80%+) for at-a-glance interpretation.
Percentage Labels: Each signal is plotted with its precise, final strength score for clear analysis.
5. Summary: Steps to Replicate the Logic
To recreate this indicator, follow these high-level steps for each candle on the chart:
Gather Data: Fetch the Open, High, Low, Close, and Volume data for the primary chart asset AND for the corresponding CME Bitcoin Futures symbol (CME:BTC1!).
Calculate Buy/Sell Pressure: For both datasets, use the "Smart Volume Analysis" formula to estimate the buying and selling pressure for the current candle.
Check for Volume Spikes: For both datasets, calculate a simple moving average of the volume. Check if the current candle's volume exceeds this average by a set threshold (e.g., 150%).
Check for Pressure Imbalance: For both datasets, check if the buying pressure is greater than the selling pressure by a set multiplier (e.g., 3.0), or vice versa.
Confirm the Signal: A final signal is only valid if the conditions from both Step 3 and Step 4 are true for both datasets on the same candle.
Calculate Strength: If a signal is confirmed, compute a strength score (0-100) for each dataset based on the intensity of the volume spike and pressure imbalance. Add bonus points for confluence factors like trend alignment.
Finalize and Plot: Average the two strength scores from each market. Plot a colored, sized circle on the chart that visually represents this final averaged score, and display the score as a text label.
Last but not least, the idea of the indicator is inspired by 52SIGNAL
دورات
[JAMJAM] v3This indicator is developed based on ICT concepts, focusing on identifying liquidity pools and order blocks within the market structure. It helps in visualizing high-probability setups by filtering out market noise. The script is part of a comprehensive trading system aimed at automating the detection of smart money movements. It is strictly for private analysis and forward testing.
Thirdeyechart Global Gold PercentageThe global gold percentage – Percentage Change Indicator is a TradingView tool developed to help traders monitor multiple currency pairs and precious metals in one glance. This indicator was coded personally, using custom formulas to calculate the percentage change for each symbol over selected timeframes, making it unique and fully tailored to individual analysis needs.
Users can input any symbols they wish to track as a comma-separated list, making it highly flexible. The script automatically calculates percentage changes for Daily (D), 1-Hour (H1), and 4-Hour (H4) timeframes. Positive changes are highlighted in blue and negative changes in red, allowing for an instant visual representation of market movements. The table updates in real-time, giving traders immediate feedback without needing to switch between charts.
Designed with simplicity and functionality in mind, this indicator is ideal for intraday traders, swing traders, or anyone who wants to keep an eye on multiple markets efficiently. It works for currency pairs, metals like gold (XAUUSD, XAUJPY), or any TradingView-available symbol. The table is positioned at the top-right corner of the chart and automatically adapts to the number of symbols entered.
This script is purely informational and educational, providing a clear view of price movements but not offering buy or sell signals. Traders should perform their own analysis and risk management before making any trading decisions.
Disclaimer / Copyright:
© 2025 Thirdeyechart. All rights reserved. This indicator is for educational and informational purposes only. The author is not responsible for any trading losses or financial decisions made based on this script. Redistribution, copying, or commercial use of this code without permission is strictly prohibited.
Supertrend Scalper v1.0 (빌립's Trading)Supertrend Scalper V1.0 – 초대전용 스캘핑 인디케이터
이 스크립트는 Supertrend 추세를 기반으로, 지지/저항 되돌림 구간에서 단기 스캘핑 진입 타이밍만 직관적으로 보여주는 초대전용 인디케이터입니다.
Supertrend 방향이 유지되는 구간에서, 슈퍼트렌드 라인 근처 되돌림 발생 시에만 BUY / SELL 진입 신호를 생성합니다.
신호는 봉 마감(종가 확정) 기준으로만 확정되며, 과도한 실시간 깜빡임을 최소화했습니다.
한 번 진입 신호가 발생하면 해당 포지션의 TP / SL 가격이 터치될 때까지 추가 신호가 나오지 않으며, 항상 한 포지션만 운영하는 구조로 설계되어 있습니다.
진입 라벨 색상:
최초 BUY 진입: 초록색
최초 SELL 진입: 빨간색
TP 도달: 핑크색
SL 도달: 파란색
→ 색깔만 봐도 진입/청산 결과를 한눈에 확인할 수 있습니다.
기본적으로 3분 / 5분 / 15분 등의 단기 타임프레임에서 크립토 선물 스캘핑을 염두에 두고 설계되었지만, 시장/종목/타임프레임에 따라 사용자가 직접 테스트 후 활용하시길 권장합니다.
⚠ 면책사항
이 인디케이터는 교육 및 연구용 참고 도구일 뿐, 특정 매수/매도/투자를 직접적으로 권유하는 것이 아닙니다.
모든 매매 결정과 그에 따른 손익은 전적으로 사용자 본인의 책임입니다. 실제 사용 전 반드시 충분한 백테스트와 모의투자를 통해 전략 적합성을 검증하시기 바랍니다.
Supertrend Scalper is a short-term trend-following scalping indicator built on the Supertrend concept.
The script looks for pullbacks to the Supertrend line in the direction of the prevailing trend and prints clear BUY / SELL labels only after the bar is closed (close-confirmed signals to reduce repaint-like noise).
Once a signal appears and a position is considered open, the script tracks a fixed TP (%) and SL (%) from the entry price:
- Initial BUY label = green
- Initial SELL label = red
- When TP is hit, the label changes to pink
- When SL is hit, the label changes to blue
Only one position is active at a time. No new signals are generated until either TP or SL is reached, which helps to avoid over-trading in choppy zones.
Default settings are optimized for lower timeframes (e.g. 3m/5m/15m crypto futures scalping), but users should adjust parameters and backtest according to their own market, symbol and risk profile. This script is for educational and informational purposes only and is not financial advice.
Daily Quarters & Sub-Quarters [by Brites]This script marks the daily and session quarters starting from a custom user-defined time.
It also calculates manual and automatic pip ranges for each quarter and displays a full information table.
The indicator includes True Day Open, Midnight Open, and True Week Open levels, with customizable colors and visibility options.
Seasonality by Luis TrompeterThe Seasonality Indicator calculates the average historical performance of the currently selected asset by analyzing a user-defined number of past years (e.g., the last 10 years).
The number of years included in the calculation can be adjusted directly in the settings panel.
Based on this historical window, the indicator creates an average seasonal curve, which represents how the market typically behaved during each part of the year.
This averaged curve acts as a forecast for the upcoming months, highlighting periods where the market has shown a consistent tendency in the past.
Traders can use this seasonal projection to identify times of higher statistical likelihood for upward or downward movement.
The indicator works especially well when combined with the Seasonality Analysis Tool, which helps identify specific historical windows and strengthens overall seasonal decision-making.
Timeframe Requirement
This indicator must be used exclusively on the daily timeframe, as all calculations are based on daily candle data.
Other timeframes will not display accurate seasonal structures.
The Seasonality Indicator provides a clear, data-driven view of recurring annual patterns and allows traders to better understand when historical tendencies may influence future price action.
BTC -50% Crash to Recovery ZoneGeneral Overview This is a macro-analysis tool designed to visualize the true duration of Bitcoin’s "Suffering & Recovery Cycles." Unlike standard oscillators that only signal oversold conditions, this script highlights the entire timeline required for the market to flush out leverage and return to All-Time Highs (ATH).
Operational Logic The algorithm tracks Bitcoin’s historical All-Time High (ATH).
The Trigger: It activates automatically when the price drops 50% below the last recorded ATH.
The "Recovery Zone": Once triggered, the chart background turns red (indicating a "Drawdown" state). This zone remains active persistently, even during intermediate relief rallies.
The Reset: The zone deactivates only when the price breaks above the previous ATH, marking the official start of a new Price Discovery phase.
How to Read It
Red Background: We are officially in a Bear Market or Recovery Phase. The asset is technically "underwater." For the long-term investor with a low time preference, this visually defines the accumulation window.
Red Horizontal Line: Indicates the "Target." This is the exact price level of the old ATH that Bitcoin must reclaim to close the bearish cycle.
No Background Color: We are in Price Discovery. The market is healthy and pushing for new highs.
The Financial Lesson This indicator visually demonstrates a fundamental market truth: "Price takes the elevator down, but takes the stairs up." It shows that after a halving of value (-50%), Bitcoin may take months or years to recover previous levels, helping investors filter out the noise of short-term pumps that fail to break the macro-bearish structure.
Weekday-to-Weekday % Change (selectable, Line + Axis)Weekday-to-Weekday % Change
Plots % change between the chosen weekday occurrences (week-over-week style) or intraday open→close if you select that comparison type.
Shows as a line in a separate pane (overlay=false).
Auto-scales the Y-axis in percent using invisible padded bounds so TradingView draws a readable axis and ticks.
Optional EMA smoothing and labels on the selected-day bars.
Classic Dual Momentum – 12-Month Absolute Momentum - AntonacciThis indicator calculates the 12-month absolute momentum exactly as described in Gary Antonacci’s Dual Momentum framework.
It automatically adjusts the lookback period based on the chart’s timeframe:
Daily chart: 252 bars
Weekly chart: 52 bars
Monthly chart: 12 bars
Other timeframes: Estimated automatically using bar time difference
The script computes the 12-month rate of return and displays it as a color-coded column plot:
Green: Positive 12-month momentum
Red: Negative 12-month momentum
A customizable moving average is included to help visualize longer-term trends in the momentum signal.
How It’s Used (from Dual Momentum theory)
This indicator provides the absolute momentum filter used in classic Dual Momentum strategies:
If the 12-month return of an asset is above the risk-free return → trend is positive
If it is below the risk-free return → trend is negative
This absolute momentum check is a key component of the Global Equities Momentum (GEM) model presented in Gary Antonacci’s book Dual Momentum Investing.
Why This Indicator Exists
It gives traders a clean, accurate way to visualize the 12-month trend strength across any timeframe, without the distortions caused by bar length differences.
Tradermaap Elite System [Institutional Grade Analysis]Description:
🚀 Institutional Trend Modeling & Automated Risk Engine
Tradermaap Elite is a proprietary quantitative trading system designed for professional scalpers, swing traders, and prop firm challengers. It moves beyond standard indicators by utilizing a Dynamic Mean Reversion Algorithm to identify high-probability structural turning points in the market.
This is NOT just a buy/sell arrow tool. It is a complete Decision Support System that mathematically calculates your risk, entry, and exit zones based on institutional order flow concepts.
🛠️ Key Features
✅ 100% Non-Repainting Engine: Signals are locked on candle close. No disappearing acts. ✅ Institutional Baseline Logic: Uses a proprietary blend of long-term trend filters to avoid false signals in choppy markets. ✅ Auto Risk Guard: Automatically calculates Position Size based on your account balance and defined risk (1% Prop Mode). ✅ Multi-Asset Calibration: Algorithmically tuned for Bitcoin, Gold, Indices (US30/NAS100), and Equities. ✅ Live Dashboard: Tracks real-time Win Rate and Profit Factor directly on your chart. ✅ Dynamic Currency: Switch between USD ($) and INR (₹) in settings.
🧠 How It Works (The Logic)
The system operates on a 3-Stage "Confluence" Mechanism:
Macro Trend Identification: The algorithm scans for the dominant market direction using a Weighted Trend Filter.
Equilibrium Reversion: It identifies when price is "overextended" and waits for it to return to the "Value Zone" (Discount/Premium levels).
Volatility Trigger: A trade is only validated when specific volume and price action conditions are met, filtering out weak moves.
Projected Outcomes:
Protective Stop: Structure-based invalidation levels.
Target 1: Conservative banking zones.
Target 2: Trend-following extensions.
🔒 Access & Licensing
This operates as a Protected Algorithm. It is strictly Invite-Only. To obtain a license key or start a trial, please refer to the link in the signature below.
⚠️ RISK DISCLAIMER: This script is for educational and chart analysis purposes only. It incorporates mathematical modeling to assist in decision-making but does not guarantee profits. Trading is inherently risky. Use responsibly.
Tom Basso ETR HedgeSimple hedge regime indicator inspired by Tom Basso’s hedging approach described at enjoytheride.world It combines Keltner Channels, Bollinger Bands, and Donchian Channels using 50-bar “IN” signals to turn the hedge ON and 21-bar “OUT” signals to turn the hedge OFF. When any 50-bar lower band is broken to the downside, the background turns red to indicate hedge mode, and when price recovers above any 21-bar upper band, hedge mode turns off.
Use this on a broad market index (SPX/ES/SPY, etc.) to time when you should be hedged versus unhedged, not as a standalone entry/exit trading system.
BTC GOD — DEFINITIVE BTC MULTI INDICATORBTC GOD — The Ultimate Bitcoin Cycle Indicator (2025 Edition)
The one indicator every serious BTC holder and trader has been waiting for.
A single script that perfectly combines the 5 most powerful and accurate Bitcoin indicators ever created — all 100 % official versions:
- Official Pi Cycle Top (LookIntoBitcoin) → in 2013, 2017 & 2021 (3/3 hits)
- Official MVRV Z-Score (Glassnode / LookIntoBitcoin) → every major bottom (2015, 2018–19, 2022)
- Dynamic Bull/Bear background (red bear-market when price drops X % from cycle ATH + monthly RSI filter)
- Monthly Golden/Death Cross (50-month EMA vs 200-week EMA) → huge, unmistakable signals
- SuperTrend + 200-week EMA + 50-month EMA
- Cycle ATH/ATL tracking with flashing alert in the table when new highs/lows are made
- Exact days to/from the next halving + optimal accumulation zone (200–750 days post-halving)
- Fully customizable inputs for experienced traders
Zero repainting. Zero errors. Works on every timeframe.
This is the indicator used by people who truly understand Bitcoin’s 4-year cycles.
If you could only keep ONE Bitcoin indicator for the rest of your life… this would be it.
Save it, test it, and you’ll instantly see why it’s called BTC GOD.
Built with love and obsession for Bitcoin cycles.
Last update: November 2025
Super ORB v4 – 4 CONTRACTS – NUCLEAR FIXORB hands off printer, this is to gauge how few trades can happen off the ORB while not trading after hours either. Should be in the 5% a month range 4 contracts, no more than 5 trades a month.
COT Index by Luis TrompeterThe COT Index transforms the weekly COT net positions of Commercial traders into a normalized mathematical model.
Instead of displaying raw net positioning, the COT Index processes the data through a cyclical normalization algorithm (commonly using a 26-week or alternatively a 52-week cycle).
This makes it easier to identify bullish or bearish extremes in Commercial activity.
The index is plotted as a color-coded line:
• Green Zone – Commercials are mathematically classified as bullish.
Historically, bullish Commercial positioning often aligns with upward market pressure.
• Red Zone – Commercials are mathematically classified as bearish.
This typically corresponds with increased downward pressure in the underlying market.
• Neutral Zone – Neither bull nor bear dominance; positioning is mid-range.
Since COT data is published only once per week and the COT Index is built on cyclical multi-week analysis, the indicator is intended to be used exclusively on the weekly timeframe.
Using lower timeframes will not reflect the structure of the data accurately.
The selected cycle length (typically 26 weeks, optionally 52 weeks) determines how net positions are compared and normalized, and can influence how quickly extreme zones appear.
The COT Index provides an objective way to interpret Commercial trader sentiment and to identify potential directional bias in the market.
Advanced Price Ranges — Izaak ButlerThis indicator automatically draws equally-spaced price ranges (based on a user-defined size) above and below the current price. Each range displays its High, Low, 50% midpoint, and 25/75% quarter levels. All lines now extend both forward and backward in time, covering the entire chart. Labels are added on the right edge for easy reference, and optional alerts trigger when price crosses key levels. This tool helps visualize structured price zones and ICT-style range behaviour across all market conditions.
QuantMotions - Pivot Timeline ProjectionQuantMotions – Pivot Timeline Projections is an advanced time-based forecasting tool that uses a unique Twin Pivot model to project future price-time structures.
It combines classical Gann principles with modern quantitative logic to generate highly precise time projections, dynamic angles, and future support/resistance timelines across multiple timeframes.
Whenever two matching pivots (High ↔ Low) of the same length are detected, the indicator calculates a true calendar-time angle and extends it forward, forming dynamic Gann-style fans that adapt to the market in real time.
Perfect for traders who want to integrate price + time forecasting into their strategy.
Key Features:
✔ Twin Pivot Detection
Automatically identifies valid pivot pairs of equal cycle length and opposite direction.
Once confirmed, the pivot becomes a time anchor for future projections.
✔ True Time-Based Angle Projections
Unlike standard Gann tools that rely on bar-counting, this indicator uses real calendar time (milliseconds) to calculate:
This produces significantly more accurate forecasting lines.
✔ Multi-Timeframe Pivot Cycles
Activate time cycles such as:
30M, 1H, 4H, 12H
1D, 7D, 30D
60D, 90D, 120D, 180D, 270D, 360D
Each cycle uses a dedicated color and projection style for clarity.
✔ Dynamic Support/Resistance Timefans
- Every confirmed pivot generates two future projections:
- The main time-angle projection (Gann-style forward fan)
- A secondary projection based on a fixed ratio (1/8), acting as dynamic future support
Both extend until the structure breaks based on ATR tolerance.
✔ ATR-Based Validation
Projection lines remain valid until price breaks them with a configurable ATR multiplier.
This removes noise and keeps only meaningful structures.
✔ Volume Delta Tracking (Optional)
Tracks up-volume and down-volume along the time cycle to validate directional bias.
Info labels show:
- cycle length
- angle
- delta volume
- delta percentage
Seconds-based volume tracking supported for Premium users.
✔ Smart Info Labels
Displays detailed pivot information only for the highest-timeframe pivot at each bar
→ ensures high usability without chart clutter.
🔷 Why This Indicator Is Special
This tool merges Gann angles, time cycles, and quantitative price action into a single engine.
It does not rely on static angles or simple bar offsets.
Instead, it uses:
- real time
- real slope
- real cycle symmetry
- real price movement
The result is a uniquely accurate forecasting model that is extremely difficult to replicate manually.
🔷 Perfect For
- Intraday traders
- Swing traders
- Index, Crypto, Metals, and FX traders
- Gann and cycle-based analysts
- Structure and trend change detection
- Time/price projection strategies
🔷 Inputs & Customization
- ATR break tolerance
- Multiple cycle activation toggles
- Custom color sets for each timeframe
- Second-based or standard timeframe volume tracking
- Enable/Disable info labels
🔷 Note
Some features (like seconds-based volume tracking) depend on TradingView Premium and additional broker data sources.
Loading times may vary when many long-term cycles are enabled simultaneously.
🔷 Access
This is an Invite-Only Script by QuantMotions.
Access is granted after purchase.
For more information, please visit the official product page or contact us directly.
SNP420_Five_to_Five_INDIFor consistent 9-5 traders.
Use for your traidingroutine.
Change colours and time for your strategy.
Peace and love! SNP420
Z-Fusion Oscillator | Lyro RSThe Z-Fusion Oscillator converts five momentum indicators into Z-scores and blends them into one normalized signal that adapts across markets.
By combining normalization, smoothing, and divergence detection, users can easily identify when momentum is accelerating, weakening, reversing, or entering extreme zones
🔶 USAGE
The Z-Fusion Oscillator is designed to give traders a unified reading of market momentum—removing the noise of comparing tools that normally run on different scales.
By transforming RSI, MACD histogram, Stochastic, Momentum, and Rate of Change into Z-scores, this tool standardizes all inputs, making trend strength and shifts easier to interpret.
A dual-line system (fast Z-fusion line + slower baseline) highlights turning points, while overbought/oversold bands and “X-marks” help traders spot exhaustion and potential reversals.
🔹 Unified Momentum Structure
The indicator’s core strength comes from combining five Z-scored signals into one average.
Which makes momentum behavior more consistent across assets, reduces false extremes, and highlights true shifts in trend conviction.
🔹 Divergence Detection
The tool includes fully integrated divergence detection:
Regular Bullish Divergence: Price makes a lower low while Z-Fusion forms a higher low.
Regular Bearish Divergence: Price makes a higher high while Z-Fusion forms a lower high
Bullish and bearish divergences are marked directly on the oscillator with labels and colored pivot connections, making hidden momentum shifts obvious.
🔹 Visual Extremes
Two sets of upper and lower Z-score thresholds help identify:
Extreme overbought surges
Extreme oversold drops
Reversal zones
Potential exhaustion conditions
Background coloring reinforces when the oscillator moves beyond major levels, helping traders quickly assess momentum pressure.
🔹 Detecting Momentum Anomalies
Z-scores allow the oscillator to highlight when market momentum behaves abnormally relative to its own recent history.
For example:
The oscillator reaching +1 or –1 after an extended trend may indicate a climax.
A sharp Z-score reversal within an extreme zone can signal a trend exhaustion or a corrective move.
Divergences often appear earlier due to normalization smoothing out indicator noise.
This makes the Z-Fusion Oscillator particularly useful for spotting subtle shifts in trend direction that traditional indicators may miss.
🔶 DETAILS
🔹 Composite Z-Score Framework
Each momentum tool is smoothed, normalized, and transformed:
RSI → EMA-smoothed, Z-scored
MACD histogram → Z-scored
Stochastic → EMA + SMA smoothing, then Z-scored
Momentum → EMA-smoothed, Z-scored
Rate of Change → EMA-smoothed, Z-scored
These are averaged into one composite Z-score to provide a consistent reading across assets and market conditions.
🔹 Fusion Trend Lines
Two lines serve as the core signal:
Fast Line (savg) – reacts quicker to trend changes
Slow Line (savg2) – acts as a baseline filter
Crossovers between these lines highlight momentum shifts, while their color reflects trend bias.
🔹 Overbought/Oversold Zones
Two upper and two lower Z-score thresholds define “zones”:
Upper zones highlight overheated momentum or potential bearish reversals
Lower zones highlight depressed momentum or potential bullish reversals
Filled regions and background colors help visually confirm extreme conditions.
🔹 Pivot-Based Divergence Engine
The script includes filtered pivot detection with customizable look-backs and range limits to ensure divergences are meaningful, not noise-driven.
🔶 SETTINGS
🔹 Indicator Settings
Source — Price series used for all calculations.
Z-Score Length — Lookback period for Z-score normalization.
Z-Score MA Length — Smoothing length for the fusion signal lines.
Overbought/Oversold Levels — Four customizable threshold lines.
Color Palette — Choose from preset themes or define custom colors.
🔹 RSI
Length — RSI calculation period.
EMA Smoothing Length — Smooths RSI before Z-score conversion.
🔹 MACD
Fast Length — Fast EMA length.
Slow Length — Slow EMA length.
Signal Line Length — MACD signal smoothing.
🔹 Stochastic
%K Length — Main stochastic length.
EMA Smoothing — Smooths %K for stability.
%D Length — Smoothing for the signal line.
🔹 Momentum
Length — Momentum lookback.
EMA Smoothing — Smooths momentum before Z-scoring.
🔹 Rate of Change
Length — ROC lookback.
EMA Smoothing — Smooths ROC values.
🔹 Divergence
Enable/Disable Divergence Detection — Toggle divergence engine.
Pivot Left/Right Lookback — Defines pivot detection sensitivity.
Detection Range Limits — Controls allowable range for divergence.
Bull/Bear Colors & Styling — Customize divergence visualization.
🔶 SUMMARY
The Z-Fusion Oscillator combines multiple momentum signatures into a single normalized signal, enabling traders to:
Identify reversals early
Detect momentum exhaustion
Spot bullish and bearish divergences
Track overbought/oversold conditions
Visualize trend strength with clarity
Whether you're a swing trader, intraday analyst, or trend-reversal hunter, the Z-Fusion Oscillator provides a powerful and adaptive way to read momentum.
BTC Halving Cycle SignalsBTC Halving Cycle Signals
What signals does this script give in real history (2011-2025):
2015 → BUY (bear market bottom)
2019 → BUY (post-2018 bottom)
October 2020 → BUY
November 2023 → BUY
And right now (Nov 2025) → green bottom + price above weekly EMA200 → about to give a buy signal if it breaks $72k strongly.
BUY signal: ~500 days pre-halving + price > weekly EMA200 + monthly RSI <60 (accumulation).
SELL signal: ~1064 days post-halving + RSI >75 or close < SuperTrend (distribution).
Hardcoded halving dates (can be edited). Works on BTCUSD weekly/monthly, gives 1-2 signals per cycle.
Valdex - Squeeze Momentum Indicator [MTF]📝 TradingView Publication Description (English)
SQM-MTF: Multi-Timeframe Squeeze Momentum Indicator (v6)
This is a powerful, multi-timeframe (MTF) version of the renowned Squeeze Momentum Indicator originally developed by LazyBear, completely updated for Pine Script v6.
This version allows traders to calculate the momentum and the Teeza Squeeze status from a higher or lower timeframe than the one currently displayed on the chart, providing superior context for entries and exits.
🚀 Key Features
Multi-Timeframe (MTF) Functionality: Use the "Timeframe del Indicador" setting to select a resolution (e.g., "60" for 1-hour or "240" for 4-hour) independent of your chart's resolution.
Momentum Area Plot: The default style is set to Area for better visual continuity, instead of the traditional histogram columns.
Original Color Logic: Uses the original four-color scheme to clearly identify momentum status and acceleration/deceleration:
Bright Green/Lime: Positive Momentum, Accelerating
Dark Green: Positive Momentum, Decelerating
Bright Red: Negative Momentum, Accelerating
Dark Red/Maroon: Negative Momentum, Decelerating
Optimized for V6: Code fully updated to Pine Script v6 syntax, including optimized request.security usage.
💡 How to Use
This indicator is typically used to identify periods of low volatility (the Squeeze) that signal a potential explosive move is imminent.
Use the MTF feature to:
Find the Squeeze: Check a higher timeframe (e.g., 4H) for the Squeeze status while executing trades on a lower timeframe (e.g., 1H or 15m).
Confirm Entry: Wait for the momentum bars to cross the zero line in the desired direction on the MTF indicator, confirming the start of the trend.
📋 Notas de Publicación (Para ti)
Cuando publiques, asegúrate de añadir las siguientes etiquetas (tags) para que sea fácil de encontrar:
Tags Sugeridas: SQUEEZE, MOMENTUM, MTF, MULTITIMEFRAME, SQUEEZEMOMENTUM, LAZYBEAR, VOLATILITY, PINEV6.
Source Code (Código Fuente): Siempre incluye el código Pine Script en la parte inferior de tu descripción en TradingView.
Nexural TransformNexural Transform: Fisher + CVD Order Flow Indicator
What This Indicator Does
Nexural Transform combines a Fisher Transform with Cumulative Volume Delta (CVD) analysis to help identify potential turning points and measure buying/selling pressure beneath price action. Instead of just showing you what price is doing, it attempts to show you what's happening in the order flow - who's in control and whether momentum is building or fading.
The indicator analyzes intrabar volume to separate buying from selling pressure, then integrates this with Fisher Transform momentum calculations to generate signals that consider both price extremes and volume conviction.
Key Features
Core Mechanics:
Fisher Transform with CVD momentum weighting
Intrabar volume analysis for true buying/selling pressure
Adaptive length based on market volatility
Volume-weighted price calculations
Dynamic sigma bands that adjust to current market conditions
Order Flow Detection (always active):
Absorption zones - large volume with minimal price movement
Iceberg orders - hidden liquidity reveals itself
Liquidity sweeps - stop hunts that fail to follow through
Failed auctions - breakouts without volume support
Exhaustion scoring - when moves run out of steam
Smart money tracking - large lot activity
Stacked imbalances - consecutive directional pressure
Additional Tools:
Instant divergence detection (real-time price vs. CVD mismatches)
Traditional divergence signals
Session-based filtering (RTH vs. overnight)
Confidence scoring for signals
Customizable statistics box with three detail levels
How to Use It
Understanding the Display:
The main line oscillates around zero with dynamic sigma bands (1 sigma, 2 sigma, 3 sigma)
Green zones = oversold conditions with buying pressure
Red zones = overbought conditions with selling pressure
The gray signal line shows the previous bar's value
Optional CVD overlay shows cumulative volume delta scaled to fit
Signal Types:
Elite Signals (confidence greater than 100%) - Rare, highest conviction setups
High Confidence Signals (confidence greater than 70%) - Strong probabilistic edge
Standard crossovers - Fisher crosses signal line at extremes
Divergences - Price makes new highs/lows but CVD disagrees
Best Practices:
Use on liquid instruments (ES, NQ, major stocks with good volume)
Works best on 5min-1hr timeframes for intraday trading
Pay attention during key session times (open, 10:30-11:00, close)
Watch the statistics box for exhaustion, streak counts, and order flow activity
Don't trade signals in isolation - confirm with price action and structure
Reduce position size or avoid trading during lunch session (12:00-13:30 EST)
Interpreting Order Flow:
"ABS" in stats = absorption happening (potential reversal zone)
"ICE" = iceberg orders detected (hidden liquidity)
"LIQ" = liquidity sweep (stop hunt - look for reversal)
"TRAP" = failed auction (breakout likely to fail)
High exhaustion scores (greater than 50) = move losing momentum
Honest Pros & Cons
What This Indicator Does Well:
Provides multi-dimensional view of market structure
Catches divergences between price and underlying order flow
Adapts to changing volatility conditions
Offers clear confidence levels - you know when signals are stronger
Works across multiple trading styles (scalping to swing)
Session awareness helps avoid low-probability times
Statistics box gives you real-time market context
Limitations to Understand:
Steep learning curve - order flow concepts take time to grasp
Not a holy grail - no indicator is; you still need proper risk management
Can be noisy in choppy/low volume conditions - like most oscillators
Requires liquid markets - won't work well on illiquid stocks or crypto with thin order books
Lagging component - Fisher Transform is smoothed, so it's not predictive
Works best with context - needs support/resistance, trend analysis, etc.
Information dense - the statistics box can overwhelm beginners
Who This Is For
Good fit if you:
Trade futures (especially ES/NQ) or high-volume stocks
Want to understand order flow beyond just price candles
Use multiple timeframe analysis
Are comfortable with technical concepts
Want confluence factors for your existing strategy
Trade during active market sessions
Probably not for you if:
You're brand new to trading (start simpler)
You trade low-volume instruments
You want a "buy here, sell there" magic system
You don't want to learn order flow concepts
You're looking for a fully automated strategy
Configuration Tips
The indicator comes pre-configured with tested defaults, but you can customize:
Fisher Length (10) - Lower = more sensitive, higher = smoother
CVD Weight (0.3) - How much volume influences the oscillator
Dynamic Bands - Keep ON for adaptive levels that adjust to volatility
Session Filters - Keep ON to reduce overnight noise
Stats Detail Level - Start with "Compact", move to "Order Flow" as you learn
Final Thoughts
This isn't a signal-spamming indicator that paints arrows all over your chart. It's a tool for understanding market structure through the lens of volume and momentum. The best trades happen when multiple factors align - Fisher at extremes, CVD confirming, order flow showing institutional activity, and price respecting key levels.
Treat it as one piece of your trading puzzle, not the whole picture. Use it to confirm what you're seeing in price action, not to replace proper chart reading and risk management.
Test it thoroughly on a demo account. Learn what the order flow signals mean. Understand when it works best and when to ignore it. No indicator works in all market conditions, and this one is no exception.
Questions? Found a bug? Have suggestions?
Drop a comment below. I actively maintain this indicator and appreciate genuine feedback from traders actually using it in the markets.
Remember: Past performance doesn't guarantee future results. Always use proper position sizing and risk management.
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YCGH Mean Reversion StrategyThis strategy applies a classic mean-reversion framework inspired by the concepts popularized by Ernest P. Chan in his quantitative trading books.
It uses Bollinger Bands and RSI to identify statistically stretched conditions where price has moved too far from its average. When price dips below the lower band with weakening momentum, the strategy accumulates small long positions, expecting reversion toward the mean. As price rebounds above the upper band, it exits positions gradually. Position sizing limits help control risk and avoid excessive exposure.
Special thanks to Ernest P. Chan for his influential work in quantitative trading, which motivated the structure and logic behind this model.
