CQ_Fibonacci IntraDay Range [UkutaLabs]//█ OVERVIEW
//
//The "Fibonacci Intraday Period Range Indicator" is a powerful trading tool that draws levels of support and resistance that are based on key
//Fibonacci levels. Created by © UkutaLabs and modified by me to include a progress gauge. The script will identify the high and low
//of a range that is specified by the user, then draw several levels of support and resistance based on Fibonacci levels.
//
//The script will also draw extension levels outside of the specified range that are also based on Fibonacci levels. These extension
//levels can be turned off in the indicator settings.
//
//Each level is also labelled to help traders understand what each line represents. These labels can be turned off in the indicator
//settings.
//
//The purpose of this script is to simplify the trading experience of users by giving them the ability to customize the time period
//that is identified, then draw levels of support and resistance that are based on the price action during this time.
//
//█ USAGE
//
//In the indicator settings, the user has access to a setting called Session Range. This gives users control over the range that will
//be used.
//
//The script will then identify the high and low of the range that was specified and draw several levels of support and resistance based
//on Fibonacci levels between this range. The user can also choose to have extension levels that display more levels outside of the range.
//
//These lines will extend until the end of the current trading day at 5:00 pm EST.
//
//█ SETTINGS
//
//Configuration
//
//• Display Mode: Determines the number of days that will be displayed by the script.
//• Show Labels: Determines whether or not identifying labels will be displayed on each line.
//• Font Size: Determines the text size of labels.
//• Label Position: Determines the justification of labels.
//• Extension Levels: Determines whether or not extension levels will be drawn outside of the high and low of the specified range.
//
//Session
//
//• Session Range: Determines the time period that will be used for calculations.
//• Timezone Offset (+/-): Determines how many hours the session should be offset by.
Phân tích Xu hướng
Breakout Scanner [Europe] 🚀 Breakout Scanner - Situational Analysis Mastery
Professional Breakout & Trend-Following Strategy Based on Tom Hougaard's Situational Analysis
🎯 WHAT IS THIS INDICATOR?
A sophisticated multi-timeframe breakout scanner designed for European trading sessions, implementing the powerful "Situational Analysis" methodology from renowned trader Tom Hougaard. This professional tool identifies high-probability breakout opportunities with comprehensive filter systems to ensure quality signals.
⭐ KEY FEATURES
🏛️ SESSION-BASED TRADING
- European Overnight Range
- London Pre-Open & First Breakouts
- Tokyo Box & London Launch Sessions
- Smart Session Detection with Auto-DST
🎯 ENHANCED CONDITIONS
- School Run Strategy (SRS) by Tom Hougaard
- Anti-SRS Filter** for counter-trend opportunities
- Session-specific logic for optimal entry timing
🛡️ ADVANCED FILTER SYSTEMS
- Heiken Ashi Momentum Confirmation
- EMA 200 Trend Filter
- Ichimoku Baseline & Divergence
- RSI Threshold Filter
- ATR Volatility Filter
- Multi-timeframe Compatibility
⚡ SMART ALERTS & VISUALS
- Multi-timeframe Alert Confirmation
- Breakout Size Detection (Beyond/Within Range)
- Take Profit Levels with ATR Calculation
- Customizable Visual Markers
- Enhanced Alert Messages with Filter Status
📈 OPTIMIZED FOR
- GERMAN DAX ⚡
- OIL & GOLD 🛢️
- NIKKEI 🇯🇵
- US30 & NASDAQ 🇺🇸
- All Major Indices & Commodities
🔧 CORE STRATEGY PHILOSOPHY
This indicator embodies Tom Hougaard's Situational Analysis approach :
- Identify the Situation : Market context through session analysis
- Define the Action : Clear breakout levels and ranges
- Execute with Precision : Filtered, high-quality signals
- Manage the Trade : Built-in TP levels and size detection
🎨 CUSTOMIZATION OPTIONS
Session Management
- Toggle individual trading sessions
- Smart session auto-disable with SRS/Anti-SRS
- Customizable session times
Filter Controls
- Enable/disable all filter systems independently
- Adjustable timeframe for each filter
- Custom threshold settings
Visual Preferences
- Heiken Ashi overlay display
- Breakout marker styles and colors
- TP line customization
- Debug information panel
📊 HOW TO USE
1. SETUP : Apply to your preferred instrument (DAX, Oil, Gold, etc.)
2. CONFIGURE : Enable your preferred sessions and filters
3. MONITOR : Watch for breakout markers during active sessions
4. EXECUTE : Enter on confirmed breakouts with filter alignment
5. MANAGE : Use built-in TP levels or your own risk management
⚠️ RISK DISCLAIMER
This indicator is for educational and informational purposes only. Trading involves substantial risk and is not suitable for every investor. Always practice proper risk management and backtest strategies before live trading. Past performance is not indicative of future results.
🔒 TECHNICAL SPECIFICATIONS
- Platform : TradingView Pine Script v6
- Compatibility : All timeframes
- Markets : Forex, Indices, Commodities, Stocks
- Updates : Regular improvements and bug fixes
📞 SUPPORT & UPDATES
Regular updates based on user feedback and market changes. For suggestions or issues, please comment on the publication.
⭐ If this indicator helps your trading, please like and follow for more advanced tools! ⭐
Why Traders Love This Indicator:
✅ Comprehensive Filter System reduces false signals
✅ Session-Based Logic aligns with professional trading hours
✅ Multiple Timeframe Analysis for confirmation
✅ Customizable for Any Trading Style
✅ Professional-Grade Risk Management Tools
Boost your breakout trading profitability with institutional-grade session analysis!
🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀
Directional Momentum VisualizerDescription
This script provides a color-coded column visualization of a classic momentum oscillator that measures relative strength and weakness. Instead of a single line, it uses conditional coloring to make directional changes easier to identify at a glance.
The tool is designed for clarity and adaptability, offering both column and line displays, with optional overbought, oversold, and midpoint guides.
How It Works
The script evaluates the oscillator’s value relative to a midpoint and its previous reading.
Depending on whether it’s above or below the midpoint — and whether it’s rising or falling — each column changes color:
Strong upward momentum (above midpoint and rising) → bright green
Fading upward momentum (above midpoint but falling) → pale green
Strong downward momentum (below midpoint and falling) → bright red
Fading downward momentum (below midpoint but rising) → pale red
Unchanged from the previous value → gray
This structure makes momentum shifts instantly visible without relying on line crossings or alerts.
Key Features
Color-coded momentum columns for instant visual interpretation
Adjustable midpoint, overbought, and oversold levels
Optional line overlay for smoother reference
Dynamic background highlighting in extreme zones
Works on any symbol or timeframe
Inputs Overview
Length: Controls the sensitivity of the oscillator calculation.
Source: Selects the price source (Close, HL2, etc.).
Midpoint Level: Defines the central reference level separating bullish and bearish momentum.
Show Line: Toggles visibility of the traditional line overlay.
Overbought / Oversold Levels: Define upper and lower boundaries for potential exhaustion zones.
How to Use
Add the script to your chart from the Indicators tab.
Adjust the midpoint and level settings to fit your preferred configuration.
Observe how column colors shift to reflect strength or weakness in momentum.
Use these transitions as visual context, not as trade signals.
How it Helps
This visual approach offers a clearer perspective on momentum dynamics by replacing the traditional single-line display with color-coded columns. The conditional coloring instantly reveals whether momentum is strengthening or weakening around a chosen midpoint, making trend shifts and fading pressure easier to interpret at a glance. It helps reduce visual noise and allows for quicker, more intuitive analysis of market behavior.
This tool is intended purely as a visual aid to help identify changing momentum conditions at a glance. It is not a buy or sell signal generator and should be used in combination with other forms of analysis and sound risk management.
⚠️ Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for every investor. Users should perform their own due diligence and consult with a licensed financial advisor before making any trading decisions. The author does not guarantee any profits or results from using this script, and assumes no liability for any losses incurred. Use this script at your own risk.
EMA 8/50/200I set it up so that three EMAs are displayed within a single indicator window.
このスクリプトでは、3本のEMA（8間・50期間・200期間）を1つのインジケータ枠で表示しています。
byquan GP maxmin+Supertrend🔍 Overview
The GP MaxMin + Supertrend indicator is an advanced trend-following tool that combines the power of the Supertrend indicator with a multi-timeframe Stochastic RSI (SRSI) filter.
It aims to generate high-confidence buy and sell signals by confirming Supertrend breakouts only when the market’s momentum (based on SRSI) supports them.
In other words:
Supertrend gives you trend direction,
and SRSI ensures you only trade when the market is ready to move.
⚙️ How It Works
The indicator operates in three main layers:
1. SRSI Channel Analysis
It calculates Stochastic RSI values on four price sources:
Open
High
Low
Close
From these, it extracts both minimum (oversold) and maximum (overbought) SRSI readings.
To make the signal more robust, the script collects SRSI data from four different timeframes:
3 hours (180 minutes)
6 hours (360 minutes)
12 hours (720 minutes)
1 day
These multi-timeframe readings are averaged and normalized between 0 and 100.
Key thresholds:
Below 5 → Oversold zone (potential BUY zone)
Above 95 → Overbought zone (potential SELL zone)
2. Supertrend Core
The indicator uses a standard Supertrend logic:
ATR Period: 10
ATR Multiplier: 3.0
It dynamically plots the Supertrend line that shifts between bullish and bearish zones.
When the price crosses the Supertrend line, a trend change is detected:
From bearish to bullish → Buy signal
From bullish to bearish → Sell signal
3. SRSI-Based Signal Filtering
To avoid false breakouts, the Supertrend signals are filtered through the SRSI logic.
Here’s how it works:
When the market becomes oversold, the script records that event.
If a Supertrend Buy signal appears within a certain number of bars (default = 30) after that oversold event → the signal is validated.
The same applies for Sell signals after an overbought event.
This creates a smart “confirmation window,” ensuring that only those Supertrend signals that align with market momentum are displayed.
🧭 How to Use It
✅ Step 1: Add to Your Chart
Copy and paste the script into a new Pine Script editor window in TradingView, then click “Add to chart.”
✅ Step 2: Configure Parameters
SRSI Settings
K, D, RSI Length, S Length: Standard SRSI parameters.
Alert Min Level and Alert Max Level: Define overbought/oversold zones (default 5 and 95).
Timeframes: You can adjust the four MTF levels if you want faster or slower momentum confirmation.
Supertrend Settings
ATR Period: A higher value smooths the trend.
ATR Multiplier: Controls signal sensitivity (lower = more signals, higher = fewer).
Filter Settings
Signal Filter Window: Defines how long after an overbought/oversold event a Supertrend signal remains valid (default = 30 bars).
✅ Step 3: Interpret Signals
Signal Type Condition Interpretation
Buy Supertrend flips to bullish and SRSI was recently oversold Start of an uptrend
Sell Supertrend flips to bearish and SRSI was recently overbought Start of a downtrend
Each signal is marked on the chart:
🟢 Green “Buy” label → potential long entry
🔴 Red “Sell” label → potential short entry
You can also enable or disable background highlighting to visually track bullish/bearish zones.
✅ Step 4: Set Alerts
You can create alerts using the built-in alert condition:
SRSI-Filtered SuperTrend Signal Triggered!
This triggers whenever a filtered Buy or Sell signal appears.
💡 Trading Tips
Combine this indicator with price action or volume confirmation for best results.
Adjust the filter window to fit your preferred timeframe (short-term vs swing trading).
Avoid trading against higher-timeframe Supertrend direction.
⚖️ Advantages
✅ Filters out false Supertrend signals
✅ Uses multi-timeframe momentum confirmation
✅ Clean visual layout with clear entry markers
✅ Supports alerts for automation or notifications
⚠️ Limitations
⚠️ The indicator is computationally heavy due to multi-timeframe requests.
⚠️ It’s a confirmation tool — not a standalone strategy.
⚠️ Results depend on correct parameter tuning for your market and timeframe.
📈 Summary
The GP MaxMin + Supertrend is a hybrid indicator that blends trend detection with momentum filtering.
It helps traders:
Avoid false breakouts
Enter trades at better timing
Stay aligned with both trend and momentum
Perfect for swing traders, crypto traders, and anyone who wants cleaner Supertrend signals with deeper confirmation logic.
Candle Color Difference Marker (PSP)This indicator shows when the colors of the candles on two or three charts are different.
MechArt ATR Box V1MechArt ATR Box V1
Description:
The MechArt ATR Box V1 is a precision trade-planning and risk-management tool that visualizes your entire position framework using customizable ATR-based zones.
It automatically plots your key decision levels from a defined entry price and ATR value — helping you clearly see when to roll, hold, or exit a trade.
Features:
Configurable ATR multipliers for roll, stop, and emergency zones.
Automatically updates labels and price levels based on your custom ATR settings.
Distinct color-coded boxes for:
✅ +1 ATR (Roll Zone) – visualize profit or roll targets.
⚠️ –2 ATR (Stop Zone) – manage risk boundaries.
🚨 –3 ATR (Emergency Stop) – mark hard exit thresholds.
Adjustable ATRs, line style, width, color, and opacity for visual clarity.
Optional Days Until Expiration label for time-sensitive trades.
Ideal for:
Traders using mechanical, ATR driven systems (like OVTLYR Plan M), or anyone who wants a clear, rule-based visualization of risk vs. reward directly on the chart.
global credit spread with global yield curveglobal credit spread with global yield curve designed to give short term and longer term asset price reversal
Liquidity Index with Advanced Statistical NormalizationLiquidity Index with Advanced Statistical Normalization
An open-source TradingView indicator for analyzing global liquidity cycles using robust statistical methods
Overview
This Pine Script indicator combines multiple macroeconomic data sources to construct a composite liquidity index that tracks global financial conditions. It employs advanced statistical techniques typically found in quantitative finance research, adapted for real-time charting.
Key Features
📊 Multi-Source Data Integration
- Federal Reserve Components: Fed Funds Rate, Reverse Repo (RRP), Treasury General Account (TGA)
- PBOC Components: China M2 Money Stock adjusted by CNY/USD exchange rate
- Volatility Index: MOVE Index (bond market volatility)
🔬 Advanced Statistical Methods
1. Theil-Sen Estimator: Robust trend detection resistant to outliers
2. Triple Normalization:
- Z-score normalization
- MAD (Median Absolute Deviation) normalization
- Quantile normalization via inverse normal CDF
3. Multi-Timeframe Analysis: Short (8-bar) and long (34-bar) windows with blended composite
📈 Signal Processing
- Log-transformation for non-linear relationships
- Smoothing via customizable SMA
- Composite signal averaging across normalization methods
Why This Approach?
Traditional liquidity indicators often suffer from:
- Sensitivity to outliers in economic data
- Assumption of normal distributions
- Single-timeframe bias
This script addresses these issues by:
- Using median-based robust statistics (Theil-Sen, MAD)
- Applying multiple normalization techniques
- Blending short and long-term perspectives
Customization Options
short_length // Short window (default: 8)
long_length // Long window (default: 34)
show_short // Display short composite
show_long // Display long composite
show_blended // Display blended signal
smoothing_length // SMA smoothing period (default: 10)
How to Use
1. Liquidity Expansion (positive values): Risk-on environment, favorable for asset prices
2. Liquidity Contraction (negative values): Risk-off environment, potential market stress
3. Divergences: Compare indicator direction vs. price action for early warnings
Potential Improvements
Community members are encouraged to enhance:
- Additional data sources (ECB balance sheet, BOJ operations, etc.)
- Alternative normalization methods (robust scaling, rank transformation)
- Machine learning integration (LSTM forecasting, regime detection)
- Alert conditions for liquidity inflection points
- Volatility-adjusted weighting schemes
Technical Notes
- Uses request.security() for multi-symbol data fetching
- All calculations handle missing data via nz() functions
- Median-based statistics computed via array operations
- Custom inverse CDF approximation (no external libraries required)
Contributing
This is a foundation for liquidity analysis. Potential extensions:
- LLM Integration: Use language models to parse Fed/PBOC meeting minutes and adjust weights dynamically
- Sentiment Layer: Incorporate crypto funding rates or options skew
- Adaptive Parameters: Auto-tune window lengths based on market regime
- Cross-Asset Validation: Backtest signals against BTC, equities, bonds
---
License: Open source - modify and redistribute freelyDisclaimer: For educational purposes only. Not financial advice.
CQ_Fibonacci IntraMonth Range [UkutaLabs]//█ OVERVIEW
//
//The Fibonacci Intramonth Period Range Indicator is a powerful trading tool that draws levels of support and resistance that are based on key
//Fibonacci levels. Created by © UkutaLabs and modified by me to include a progress gauge. The script will identify the high and low of a range
//that is specified by the user, then draw several levels of support and resistance based on Fibonacci levels.
//
//The script will also draw extension levels outside of the specified range that are also based on Fibonacci levels. These extension
//levels can be turned off in the indicator settings.
//
//Each level is also labelled to help traders understand what each line represents. These labels can be turned off in the indicator
//settings.
//
//The purpose of this script is to simplify the trading experience of users by giving them the ability to customize the time period
//that is identified, then draw levels of support and resistance that are based on the price action during this time.
//
//█ USAGE
//
//In the indicator settings, the user has access to a setting called Session Range. This gives users control over the range that will
//be used.
//
//The script will then identify the high and low of the range that was specified and draw several levels of support and resistance based
//on Fibonacci levels between this range. The user can also choose to have extension levels that display more levels outside of the range.
//
//█ SETTINGS
//
//Configuration
//
//• Display Mode: Determines the number of days that will be displayed by the script.
//• Show Labels: Determines whether or not identifying labels will be displayed on each line.
//• Font Size: Determines the text size of labels.
//• Label Position: Determines the justification of labels.
//• Extension Levels: Determines whether or not extension levels will be drawn outside of the high and low of the specified range.
//
//Session
//
//• Session Range: Determines the time period that will be used for calculations.
//• Timezone Offset (+/-): Determines how many hours the session should be offset by.
CQ_(2)_Fibonacci IntraWeek Range [UkutaLabs]//█ OVERVIEW
//
//The Fibonacci Intraweek Period Range Indicator is a powerful trading tool that draws levels of support and resistance that are based on key
//Fibonacci levels.
//█ OVERVIEW
//
//The Fibonacci Intramonth Period Range Indicator is a powerful trading tool that draws levels of support and resistance that are based on key
//Fibonacci levels. Created by © UkutaLabs and modified by me to include a progress gauge. The script will identify the high and low of a range
//that is specified by the user, then draw several levels of support and resistance based on Fibonacci levels.
//
//The script will also draw extension levels outside of the specified range that are also based on Fibonacci levels. These extension
//levels can be turned off in the indicator settings.
//
//Each level is also labelled to help traders understand what each line represents. These labels can be turned off in the indicator
//settings.
//
//The purpose of this script is to simplify the trading experience of users by giving them the ability to customize the time period
//that is identified, then draw levels of support and resistance that are based on the price action during this time.
//
//█ USAGE
//
//In the indicator settings, the user has access to a setting called Session Range. This gives users control over the range that will
//be used.
//
//The script will then identify the high and low of the range that was specified and draw several levels of support and resistance based
//on Fibonacci levels between this range. The user can also choose to have extension levels that display more levels outside of the range.
//
//█ SETTINGS
//
//Configuration
//
//• Display Mode: Determines the number of days that will be displayed by the script.
//• Show Labels: Determines whether or not identifying labels will be displayed on each line.
//• Font Size: Determines the text size of labels.
//• Label Position: Determines the justification of labels.
//• Extension Levels: Determines whether or not extension levels will be drawn outside of the high and low of the specified range.
//
//Session
//
//• Session Range: Determines the time period that will be used for calculations.
//• Timezone Offset (+/-): Determines how many hours the session should be offset by.
//support and resistance based on Fibonacci levels.
//
//The script will also draw extension levels outside of the specified range that are also based on Fibonacci levels. These extension
//levels can be turned off in the indicator settings.
//
//Each level is also labelled to help traders understand what each line represents. These labels can be turned off in the indicator
//settings.
//
//The purpose of this script is to simplify the trading experience of users by giving them the ability to customize the time period
//that is identified, then draw levels of support and resistance that are based on the price action during this time.
//
//█ USAGE
//
//In the indicator settings, the user has access to a setting called Session Range. This gives users control over the range that will
//be used.
//
//The script will then identify the high and low of the range that was specified and draw several levels of support and resistance based
//on Fibonacci levels between this range. The user can also choose to have extension levels that display more levels outside of the range.
//
//█ SETTINGS
//
//Configuration
//
//• Display Mode: Determines the number of days that will be displayed by the script.
//• Show Labels: Determines whether or not identifying labels will be displayed on each line.
//• Font Size: Determines the text size of labels.
//• Label Position: Determines the justification of labels.
//• Extension Levels: Determines whether or not extension levels will be drawn outside of the high and low of the specified range.
//
//Session
//
//• Session Range: Determines the time period that will be used for calculations.
//• Timezone Offset (+/-): Determines how many hours the session should be offset by.
GpPa - Φ Frames (V5.0.1)# GpPa — Φ Frames (V5.0.1)
**What it does**
This tool overlays nine “Phi Frames” on your chart. Each frame builds a dynamic price **box** from the **highest high** and **lowest low** over a user-defined lookback on a fixed timeframe. The boxes help you read structure, extremes, and balance zones across multiple scales in one view. No signals are generated.
**How it works (simple)**
* For every frame, the script requests data at a fixed resolution (e.g., 1D, 610m, 233m, 89m, etc.).
* It scans the last *N* bars at that resolution (your input).
* It draws a box from the start of that window to the current time, bounded by the window’s high and low.
* Optional “Re-Analysis Zone” guides project a vertical line into the future at a user-set offset, giving you a planning marker.
**Frames included**
* **M1** – 1D resolution (default length 258 bars)
* **M2** – 1D resolution (default length 160 bars)
* **M3** – 610-minute resolution (default length 233 bars)
* **M4** – 233-minute resolution (default length 377 bars)
* **M5** – 89-minute resolution (default length 610 bars)
* **M6** – 34-minute resolution (default length 987 bars)
* **M7** – 13-minute resolution (default length 1597 bars)
* **M8** – 5-minute resolution (default length 2584 bars)
* **M9** – 2-minute resolution (default length 4181 bars)
These durations follow a Fibonacci/Φ scheme. Using multiple frames together reveals confluence and nested ranges.
**Inputs & customization**
* **Per-frame controls:**
* *Length (bars)* — lookback window at the frame’s resolution.
* *Show/Hide* — toggle a frame on or off.
* *Color* — box border color.
* **Re-Analysis Zone (M4, M5, M6):**
* *Offset (bars)* — projects a future reference time from the right edge of the box.
* *Show/Hide* and *Color.*
* The line spans slightly above and below the box (+/-10% of its height) for visibility.
**Tips**
* Start with 2–3 frames to reduce clutter. Add more as needed.
* On lower chart resolutions, higher-timeframe boxes will “step” at their own closes.
* Use frames as context for your own entries, risk, and targets.
* Colors are semi-transparent by design so overlaps remain readable.
**Behavior & notes**
* Boxes update intrabar; values settle when the source timeframe closes.
* No alerts, signals, or strategy logic are included.
* Works on any symbol and timeframe.
* Overlay: **true**.
**Disclaimer**
This tool is for educational and informational purposes only. It is not financial advice. Always do your own research and manage risk.
**Credits**
Pine Script™ v6. © thewayofrichie.
1hr ichi v6Ichimoku adapted to a 1hr chart
Set margin for positions to "0"
Adjust the number of contracts to the maximum drawdown you will accept. I use 11-13%
Europe Session LinesThis simple script marks the start of the European trading sessions:
08:00 a.m. London trading session
09:00 a.m. Frankfurt trading session
The settings of the lines can be changed. (thickness, colour, type).
It can be used on Futures and CFDs for example for FDAX, FTSE100 but also for GOLD, Silver and EURO- and GBP based FX pairs as supply or demand zone with the change of character trading setup.
EMA Trend RecognitionEMA Trend Recognition — “Double-Vision Trend Glasses” 👓⚡
In short:
Your chart gets two voices — the Major trend (EMA50 vs EMA200) for the big picture, and the Minor trend (EMA9 vs EMA20) for the short-term mood.
When both sing the same tune, you get a STRONG signal.
When they argue, it’s a WEAK one. Simple. Clean. Effective.
🧭 What this indicator does
Major Trend (Long-Term):
EMA50 above EMA200 → Bullish.
EMA50 below EMA200 → Bearish.
This tells you where the market really wants to go.
Minor Trend (Short-Term):
EMA9 above EMA20 → Bullish.
EMA9 below EMA20 → Bearish.
This shows you what the market feels like right now.
Trend Combinations (The Magic):
🟢 STRONG BUY: Major ↑ + Minor ↑ → full alignment, go with the flow.
🔴 STRONG SELL: Major ↓ + Minor ↓ → both down, no mercy.
🟡 WEAK BUY: Major ↑, Minor ↓ → pullback zone? early dip? maybe.
🟠 WEAK SELL: Major ↓, Minor ↑ → short-term bounce inside a downtrend.
🎨 Background Colors & Info Panel
Bright Green: STRONG BUY
Bright Red: STRONG SELL
Faded Green/Red: WEAK signals (trend disagreement)
Bottom Info Table:
Major Trend: “BULLISH ↑” or “BEARISH ↓”
Minor Trend: same logic, faster tempo
Signal: shows STRONG/WEAK/NEUTRAL status
Price: latest close price (because yes, we all check that)
🔔 Alerts (so you don’t stare all day)
MAJOR TREND CHANGE: “Now Bullish!” or “Now Bearish!”
MINOR TREND CHANGE: quicker reversals
STRONG BUY/SELL: when both trends line up perfectly
(Alerts trigger only on bar close — no disco flicker alerts.)
🧠 Visuals — Simple but Smart
EMA 200 & 50: thick lines = your market highway
EMA 20 & 9: thin lines = your turn signals
Muted colors, so your eyes survive long trading sessions
🚀 Why it’s useful
Trend Trading: Filter out noise, ride the momentum.
Pullback Entries: WEAK signals often mark “turning back in” moments.
System Building: Use “STRONG” as a market bias filter, “MINOR” flips as entry triggers.
⚙️ Pro Tips
Timeframes: EMAs are fixed, but meaning scales with TF.
On 1H or 4H, they often reflect daily/weekly momentum.
Context: Combine with structure (HH/HL/LH/LL), zones (OB/FVG), or volume.
Risk Management: Signal ≠ free money. Always define SL/TP and RR.
⚠️ Disclaimer
No financial advice, no crystal ball.
This indicator helps you see — but you still decide when to act.
Backtest and paper-trade before going live.
Short Pitch (for the top “Summary” line on TradingView):
“Two EMA pairs, one clear trend compass — Major shows direction, Minor sets the rhythm. When both agree, it’s STRONG. When they argue, it’s WEAK. Clean, fast, and easy to read.” ✅
Feel free to commend and if u have inspirations to add something, let me know, cheers :D
BTC Flow Dashboard (Spot Premium + OI + Funding)It builds a single flows dashboard that shows whether real spot demand (fiat buyers) or leveraged perps (futures traders) are driving BTC, and then cross-checks that with Open Interest (OI) and funding pressure—all normalized so you can spot regime shifts and squeeze risk fast.
How to read it (practical playbook)
Continuation (healthier trend)
Price ↑, premium > 0 and rising, oiZ ≥ 0 → spot sponsoring the move; perps chase → add on pullbacks.
Leverage-led & vulnerable
Price ↑, premium < 0, fundZ > 0 (expensive longs) → crowding → fade extensions / expect sharp pullbacks.
Buyable dip / absorption
Price ↓, premium ≥ 0 (spot supporting), oiZ flat/down, fundZ ≤ 0 → selling looks weak → scale into reversals.
Exhaustion / mean reversion
premZ ≥ +2 after a run → flows unusually hot → take profits / tighten risk.
premZ ≤ −2 into key support → capitulation risk but also bounce setups if OI/funding aren’t pressuring.
AOI BaddiniAOI = Area of Interest
The indicator shows the areas where the trend is present, with green for bullish areas and red for bearish areas.
Golden Cross 50/200Simplicity characterizes each of my trading systems and methods. On this occasion, I present a trend-following strategy with simple rules and high profitability.
System Rules:
-Long entries when the 50 EMA crosses above the 200 EMA.
-Stop Loss (SL) placed at the low of 15 candles prior to the entry candle.
-Take Profit (TP) triggered when the 50 EMA crosses below the 200 EMA.
As with any trend-following system, we sacrifice win rate for profitability, and of course, we will focus on traditional markets with a consistent trend-following nature over time.
Recommended Markets and Timeframes:
BTCUSDT H6
August 17, 2017 - October 20, 2025 Total trades: 30
Profitability: +1,682.99%
Win rate: 40%
Outperforms Buy & Hold
BTCUSDT H4
August 17, 2017 - October 20, 2025 Total trades: 42
Profitability: +12,213.49% (high and stable performance curve)
Win rate: 40%
Outperforms Buy & Hold
BTCUSDT H2
August 17, 2017 - October 20, 2025 Total trades: 95
Profitability: +2,363.80%
Win rate: 24.21%
Matches Buy & Hold
BTCUSDT H1
August 17, 2017 - October 20, 2025 Total trades: 203
Profitability: +1,045% (stable performance curve)
Win rate: 25.62%
BTCUSDT 30M
August 17, 2017 - October 20, 2025 Total trades: 393
Profitability: +4,205.51% (high and stable performance curve)
Win rate: 27.74%
Outperforms Buy & Hold
BTCUSDT 15M
August 17, 2017 - October 20, 2025 Total trades: 821
Profitability: +1,311.97%
Win rate: 23.14%
Timeframes such as Daily, 12-hour, 8-hour, and even 5-minute charts are profitable with this system, so feel free to experiment.
Other markets and timeframes to observe include:
-XAUUSD (H1, H4, H6, H8, Daily)
-SPX (Daily: +21,302% profitability since 1871 in 40 trades)
-Tesla (H1, H2, H4, H6, especially M30 and M15)
-Apple (M5, M15, M30, H1, H2, H4…)
-Warner Bros (M5, M15, M30…)
-GOOGL (M5, M15, M30, H1, H2, H4, H6…)
-AMZN (M5, M15, M30, H2, H4, H6…)
-META (M5, M15, M30, H1, H2, H4…)
-NVDA (M5, M15, M30, H1, H2, H4…)
This system not only generates significant profitability but also performs very well in traditional markets, even on lower timeframes like 5-minute charts. In many cases, the returns far exceed Buy & Hold.
I hope this strategy is useful to you. Follow my Spanish-speaking profile if you want to see my market analyses, and send me your good vibes!
Smart Money Dynamics Blocks — Pearson MatrixSmart Money Dynamics Blocks — Pearson Matrix
A structural fusion of Prime Number Theory, Pearson Correlation, and Cumulative Delta Geometry.
1. Mathematical Foundation
This indicator is built on the intersection of Prime Number Theory and the Pearson correlation coefficient, creating a structural framework that quantifies how price and time evolve together.
Prime numbers — unique, indivisible, and irregular — are used here as nonlinear time intervals. Each prime length (2, 3, 5, 7, 11…97) represents a regression horizon where correlation is measured between price and time. The result is a multi-scale correlation lattice — a geometric matrix that captures hidden directional strength and temporal bias beyond traditional moving averages.
2. The Pearson Matrix Logic
For every prime interval p, the indicator calculates the linear correlation:
r_p = corr(price, bar_index, p)
Each r_p reflects how closely price and time move together across a prime-defined window. All r_p values are then averaged to create avgR, a single adaptive coefficient summarizing overall structural coherence.
- When avgR > 0.8 → strong positive correlation (labeled R+).
- When avgR < -0.8 → strong negative correlation (labeled R−).
This approach gives a mathematically grounded definition of trend — one that isn’t based on pattern recognition, but on measurable correlation strength.
3. Sequential Prime Slope and Median Pivot
Using the ordered sequence of 25 prime intervals, the model computes sequential slopes between adjacent primes. These slopes represent the rate of change of structure between two prime scales. A robust median aggregator smooths the slopes, producing a clean, stable directional vector.
The system anchors this slope to the 41-bar pivot — the median of the first 25 primes — serving as the geometric midpoint of the prime lattice. The resulting yellow line on the chart is not an ordinary regression line; it’s a dynamic prime-slope function, adapting continuously with correlation feedback.
4. Regression-Style Parallel Bands
Around this prime-slope line, the indicator constructs parallel bands using standard deviation envelopes — conceptually similar to a regression channel but recalculated through the prime–Pearson matrix.
These bands adjust dynamically to:
- Volatility, via standard deviation of residuals.
- Correlation strength, via avgR sign weighting.
Together, they visualize statistical deviation geometry, making it easier to observe symmetry, expansion, and contraction phases of price structure.
5. Volume and Cumulative Delta Peaks
Below the geometric layer, the indicator incorporates a custom lower-timeframe volume feed — by default using 15-second data (custom_tf_input_volume = “15S”). This allows precise delta computation between up-volume and down-volume even on higher timeframe charts.
From this feed, the indicator accumulates delta over a configurable period (default: 100 bars). When cumulative delta reaches a local maximum or minimum, peak and trough markers appear, showing the precise bar where buying or selling pressure statistically peaked.
This combination of geometry and order flow reveals the intersection of market structure and energy — where liquidity pressure expresses itself through mathematical form.
6. Chart Interpretation
The primary chart view represents the live execution of the indicator. It displays the relationship between structural correlation and volume behavior in real time.
Orange “R+” and blue “R−” labels indicate regions of strong positive or negative Pearson correlation across the prime matrix. The yellow median prime-slope line serves as the structural backbone of the indicator, while green and red parallel bands act as dynamic regression boundaries derived from the underlying correlation strength. Peaks and troughs in cumulative delta — displayed as numerical annotations — mark statistically significant shifts in buying and selling pressure.
The secondary visualization (Prime Regression Concept) expands on this by illustrating how regression behavior evolves across prime intervals. Each colored regression fan corresponds to a prime number window (2, 3, 5, 7, …, 97), demonstrating how multiple regression lines would appear if drawn independently. The indicator integrates these into one unified geometric model — eliminating the need to plot tens of regression lines manually. It’s a conceptual tool to help visualize the internal logic: the synthesis of many small-scale regressions into a single coherent structure.
7. Interpretive Insight
This model is not a prediction tool; it’s an instrument of mathematical observation. By translating price dynamics into a prime-structured correlation space, it reveals how coherence unfolds through time — not as a forecast, but as a measurable evolution of structure.
It unifies three analytical domains:
- Prime distribution — defines a nonlinear temporal architecture.
- Pearson correlation — quantifies statistical cohesion.
- Cumulative delta — expresses behavioral imbalance in order flow.
The synthesis creates a geometric analysis of liquidity and time — where structure meets energy, and where the invisible rhythm of market flow becomes measurable.
8. Contribution & Feedback
Share your observations in the comments:
- The time gap and alternation between R+ and R− clusters.
- How different timeframes change delta sensitivity or reveal compression/expansion.
- Prime intervals/clusters that tend to sit near turning points or liquidity shifts.
- How avgR behaves across assets or regimes (trending, ranging, high-vol).
- Notable interactions with the parallel bands (touches, breaks, mean-revert).
Your field notes help others read the model more effectively and compare contexts.
Summary
- Primes define the structure.
- Pearson quantifies coherence.
- Slope median stabilizes geometry.
- Regression bands visualize deviation.
- Cumulative delta locates imbalance.
Together, they construct a framework where mathematics meets market behavior.
Morning Breakout READER V3.3 — European Session Precision Tool Discipline. Structure. Clarity.
Automatically detects the 09:00–10:00 (Europe/Berlin) range and marks precise Long & Short setups with a fixed 1:2 Risk/Reward ratio.
Position size, risk, and reward are calculated based on a 3,000 € account.
Includes EMA trend filter, visual range zones, and ready-to-use alerts for automation.
Optimized for DAX (DE40) and Gold (XAUUSD) on the 5-minute chart.
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Automatisierte Erkennung der 09:00–10:00 Uhr Range mit Long- & Short-Setups (CRV 1:2).
Positionsgröße, Risiko und Gewinn werden auf Basis eines 3.000 €-Kontos berechnet.
Inklusive EMA-Filter, visueller Range-Zonen und Alerts für automatisierten Handel.
Ideal für DAX & Gold im 5-Minuten-Chart.
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