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Welcome to my official MQL5 profile!
I am a Quantitative Researcher and Algorithmic Trading Systems Engineer dedicated to the intersection of market microstructure, statistical arbitrage, and Deep Reinforcement Learning (DRL).
For too long, the retail trading landscape has been dominated by hazardous martingale grids, curve-fitted heuristics, and false promises. My mission is to bridge the gap between retail trading and modern institutional quantitative finance, deploying the same state-of-the-art architectures used by top-tier quantitative hedge funds: Recurrent Neural Networks (LSTM), Proximal Policy Optimization (PPO), and lightning-fast native ONNX tensor inference directly inside MetaTrader 5.
🛡️ Core Engineering Philosophy: "Risk Management Precedes Profit"
Every algorithm I release adheres to three foundational pillars:
Zero Toxic Money Management:
I strictly reject Martingale, Grid, or unhedged averaging down. Every single trade executed by my algorithms is protected by a mandatory, non-negotiable dynamic Stop Loss computed from real-time Average True Range (ATR) volatility.
Genuine, Deep AI Architectures:
No superficial marketing labels. My models are trained across millions of simulated market steps in specialized Python gym environments and compiled directly into MT5 via ONNX for sub-millisecond local inference.
Prop Firm & Institutional Compliance Ready:
All algorithms undergo rigorous multi-year tick backtesting (15+ years), 1,000-run Monte Carlo permutations, and historical black-swan stress testing (2008 Financial Crisis, 2015 SNB Shock, 2016 Brexit, 2020 Pandemic). They are certified to protect capital well within the daily (< 5%) and total (< 10%) drawdown limits of leading prop firms (FTMO, FundedNext, Topstep, etc.).
🚀 Flagship Expert Advisor:
🏆 Quant Sniper AI — Institutional Deep RL (PPO V16 LSTM):
Autonomous Reinforcement Learning agent for EUR/USD M15 featuring 16-step sequential memory, Triple Macro Gate confirmation (ADX $\ge$ 22 + Trend + MACD), and dual operating presets: Prop Firm Safe (0.25% Risk) and Personal High-Growth (1.00% Risk).
🤝 Dedicated Support & Transparency:
📩 Direct Author Support: I personally assist all users with setup, risk sizing, and broker configurations via MQL5 private messaging.
📦 Official Set Files: Verified .set configurations are provided to eliminate user setup errors.
🔄 Continuous Oversight: Models and macro filters are regularly reviewed against emerging market liquidity shifts.
I am a Quantitative Researcher and Algorithmic Trading Systems Engineer dedicated to the intersection of market microstructure, statistical arbitrage, and Deep Reinforcement Learning (DRL).
For too long, the retail trading landscape has been dominated by hazardous martingale grids, curve-fitted heuristics, and false promises. My mission is to bridge the gap between retail trading and modern institutional quantitative finance, deploying the same state-of-the-art architectures used by top-tier quantitative hedge funds: Recurrent Neural Networks (LSTM), Proximal Policy Optimization (PPO), and lightning-fast native ONNX tensor inference directly inside MetaTrader 5.
🛡️ Core Engineering Philosophy: "Risk Management Precedes Profit"
Every algorithm I release adheres to three foundational pillars:
Zero Toxic Money Management:
I strictly reject Martingale, Grid, or unhedged averaging down. Every single trade executed by my algorithms is protected by a mandatory, non-negotiable dynamic Stop Loss computed from real-time Average True Range (ATR) volatility.
Genuine, Deep AI Architectures:
No superficial marketing labels. My models are trained across millions of simulated market steps in specialized Python gym environments and compiled directly into MT5 via ONNX for sub-millisecond local inference.
Prop Firm & Institutional Compliance Ready:
All algorithms undergo rigorous multi-year tick backtesting (15+ years), 1,000-run Monte Carlo permutations, and historical black-swan stress testing (2008 Financial Crisis, 2015 SNB Shock, 2016 Brexit, 2020 Pandemic). They are certified to protect capital well within the daily (< 5%) and total (< 10%) drawdown limits of leading prop firms (FTMO, FundedNext, Topstep, etc.).
🚀 Flagship Expert Advisor:
🏆 Quant Sniper AI — Institutional Deep RL (PPO V16 LSTM):
Autonomous Reinforcement Learning agent for EUR/USD M15 featuring 16-step sequential memory, Triple Macro Gate confirmation (ADX $\ge$ 22 + Trend + MACD), and dual operating presets: Prop Firm Safe (0.25% Risk) and Personal High-Growth (1.00% Risk).
🤝 Dedicated Support & Transparency:
📩 Direct Author Support: I personally assist all users with setup, risk sizing, and broker configurations via MQL5 private messaging.
📦 Official Set Files: Verified .set configurations are provided to eliminate user setup errors.
🔄 Continuous Oversight: Models and macro filters are regularly reviewed against emerging market liquidity shifts.
友達
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Freddy Rafael Magallanes Ruiz
パブリッシュされたプロダクト
Quant Sniper AI — Institutional Deep RL (PPO V16 LSTM) Quant Sniper AI — Institutional Deep Reinforcement Learning Expert Advisor (LSTM) Quant Sniper AI is an institutional-grade algorithmic trading system designed specifically for EUR/USD on the M15 timeframe . Unlike typical commercial Expert Advisors that rely on outdated indicators or hazardous money management, Quant Sniper AI is powered by an autonomous Deep Reinforcement Learning (DRL) agent based on the