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v1.0.0-institutional Stable
Diego Vinicius Righetti Sá released this
2026-05-27 01:52:14 +00:00 | 0 commits to main since this releaseInstitutional Z-Score Framework for MetaTrader 5
Professional quantitative framework developed for MetaTrader 5 focused on statistical trading, market imbalance detection and institutional mean reversion strategies using Z-Score methodology.
Overview
The Institutional Z-Score Framework was designed to provide traders, quantitative analysts and algorithmic researchers with a robust statistical tool capable of identifying extreme price deviations from the statistical mean.
Using rolling statistical calculations, the framework detects overbought and oversold conditions in real time, helping traders identify potential reversal zones with institutional-grade precision.
The project was built for traders seeking a professional quantitative approach for Forex, Stocks, Indices and Cryptocurrency markets.
Core Features
- Real-Time Z-Score Engine
- Statistical Mean Reversion Detection
- Dynamic Overbought & Oversold Zones
- Rolling Mean and Standard Deviation Calculation
- Institutional Quantitative Architecture
- Professional Visualization for MetaTrader 5
- Optimized Multi-Asset Structure
- High Performance Statistical Processing
Trading Applications
- Mean Reversion Strategies
- Quantitative Trading
- Statistical Arbitrage
- Forex Trading
- Smart Money Analysis
- Market Imbalance Detection
- Algorithmic Trading Research
- Institutional Trading Models
Technical Specifications
- Native MQL5 Development
- Separate Institutional Visualization Panel
- Multi-Timeframe Compatibility
- Forex, Stocks, Indices and Crypto Support
- Optimized Statistical Calculations
- Real-Time Z-Score Processing
- Modular Quantitative Structure
Quantitative Methodology
The indicator measures how far the current market price deviates from its statistical average through Z-Score normalization.
Positive extreme values may indicate overbought conditions.
Negative extreme values may indicate oversold conditions.
This methodology is widely used in quantitative finance, institutional research and statistical trading systems.
---Official Research & Documentation
Complete strategy articles and institutional research:
Official Website
https://frequenciadomercado.com.br
Developed By
Diego Vinicius Righetti Sá
Frequência do Mercado
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Source code (ZIP)
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Source code (TAR.GZ)
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