The Quant Terminal EA V1.3 MT4 is a next-generation automated trading system designed for traders who demand scientific accuracy and systematic strategies. Built exclusively for MetaTrader 4, this Expert Advisor (EA) combines quantitative analysis, statistical arbitrage, and machine learning to exploit inefficiencies in forex markets.
Version 1.3 introduces groundbreaking upgrades, including enhanced predictive modeling, multi-timeframe synchronization, and adaptive volatility filters. Developed by quants and professional traders, the EA focuses on high-probability setups derived from historical data patterns, economic cycles, and intermarket correlations. Whether you’re a data-driven trader or a passive investor, Quant Terminal automates complex strategies, eliminates emotional bias, and operates 24/5—ideal for achieving consistent returns in trending and ranging markets.

Minimum Deposit
A minimum deposit of 500 is recommended to optimize the Quant Terminal EA V1.3’s performance.This ensures sufficient margin to handle dynamic position sizing, multiple concurrent trades,and market volatility. Traders using higher leverage (e.g.,1:200) can start with 300, but $500 provides a robust buffer for sustainable risk management.
Currency Pairs
The EA excels in trading major and minor forex pairs, including:
- EUR/USD
- GBP/USD
- USD/JPY
- AUD/USD
- EUR/GBP
These pairs are chosen for their liquidity, tight spreads, and predictable volatility, enabling the EA to execute strategies with minimal slippage.
Timeframe
The Quant Terminal EA V1.3 operates on the M15 (15-minute) timeframe for precision, while incorporating data from the H4 (4-hour) chart to align with broader market trends. This hybrid approach balances short-term opportunities with long-term directional bias.

Key Features
- Quantitative Trading Engine
Analyzes 10+ technical indicators, economic data, and historical price distributions to identify statistically significant trading opportunities. - Machine Learning Optimization
Self-adjusts strategies based on real-time market feedback, improving accuracy in volatile or illiquid conditions. - Statistical Arbitrage Module
Exploits price divergences between correlated pairs (e.g., EUR/USD and GBP/USD) for low-risk, high-reward trades. - Dynamic Volatility Filter
Adjusts lot sizes and entry triggers based on real-time ATR (Average True Range) readings to avoid over-trading in choppy markets. - Risk Parity Allocation
Distributes capital across trades to balance risk exposure, ensuring no single pair dominates portfolio performance. - Multi-Timeframe Synergy
Combines signals from M15, H1, and H4 charts to confirm high-probability setups and reduce false entries. - Low-Latency Execution
Integrates with VPS servers for <30ms trade execution, critical for arbitrage and scalping strategies. - News & Event Shield
Automatically pauses trading 15 minutes before high-impact news releases (e.g., NFP, ECB meetings) to avoid erratic price action. - Backtested Robustness
Validated across 15+ years of data, including the 2008 crash and 2020 pandemic, with a Sharpe Ratio exceeding 2.0. - Customizable Strategies
Choose from pre-loaded templates (e.g., scalping, swing, carry trade) or build custom algorithms using the EA’s open API. - Broker-Agnostic Design
Compatible with all MT4 brokers, including ECN, STP, and market makers, with settings optimized for spread variability. - Eco-Friendly Resource Use
Lightweight coding ensures minimal CPU/memory usage, enabling 24/5 operation without performance lag. - Free Lifetime Updates
Regular upgrades refine algorithms and expand strategy libraries, keeping the EA ahead of market shifts.

Conclusion
The Quant Terminal EA V1.3 MT4 is a trailblazer in algorithmic trading, merging quantitative rigor with practical execution. Its data-driven approach, adaptive risk protocols, and multi-strategy versatility make it indispensable for traders seeking consistent, low-drawdown returns. Pair it with a low-latency broker and disciplined capital allocation to unlock its full potential as a profit-generating powerhouse.
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