Title: Looking for Expert MQL5 + Python Developer to Build Ultra Prop Firm AI EA (Hybrid ML/DL/RL)

Python Esperti Python

Lavoro terminato

Tempo di esecuzione 3 ore
Feedback del cliente
Excellent developer! Very professional, skilled, and reliable. Delivered high-quality work on time and exceeded expectations. Highly recommended!

Specifiche


Description:
I am looking for a highly skilled MQL5 + Python developer to code my ULTRA DE TOREN AI EA — a prop firm–compliant, AI-powered trading system.

The system must be able to:

Pass FundedNext challenges (Stage 1 & 2) in 2-4 weeks or less.

Trade funded accounts safely and profitably (8–15% per month growth).

Always respect prop firm rules (max daily drawdown, overall loss, profit target, no overtrading).

Use Hybrid AI → Price Action + 20/50 Moving Averages + Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL).

Switch automatically between Challenge Mode (aggressive) and Funded Mode (conservative).


 Key Features Required

1. Prop Firm Rules Integration

Max Daily Loss (default: 1.1–1.2%).

Max Overall Drawdown (e.g., 7%).

Profit target tracking (10% / 5%).

Auto pause if near violation.


2. Hybrid Trade Logic

Multi-timeframe trend confirmation (M1 → MN).

Price Action + MA 20/50 filters.

Confidence threshold (85–95%).

AI-enhanced entry confirmation (ML/DL/RL).


3. Dashboard Display (On-Chart)

Balance, Equity, Daily Loss Used/Remaining, Overall Drawdown, Profit Target Progress.

Trend arrows for all timeframes.

Trading Mode status (Aggressive/Moderate/Conservative).

Manual override buttons → BUY, SELL, PAUSE, CLOSE ALL.


4. Risk Management

Dynamic lot sizing (0.5–1% per trade).

Break-even after +15 pips.

Trailing stop.

Spread filter (block trades >2 pips).

Auto close all if nearing max daily loss.


5. AI Engine (Python Integration)

ML/DL: Predict trend bias probability.

RL: Learn optimal entries while respecting rules.

Works via local API with MQL5 EA.

Fallback: If AI fails, system trades using PA + MA.

Deliverables

MQL5 EA source code (execution, risk manager, dashboard, manual override).

Python AI engine (ML/DL/RL training + inference).

Backtests + Monte Carlo simulations (1000 runs) proving no prop firm rule breaches.

Forward demo logs (30–60 days) showing stability & profitability.

Documentation (installation + user guide).

 Requirements

Strong background in MQL5 + Python integration.

Proven experience building AI/ML/RL-based EAs.

Must understand prop firm trading rules (FundedNext preferred).

Ability to deliver clean, modular, well-documented code.

 If you are experienced and confident in building institutional-grade, AI-powered trading systems that respect prop firm rules, I would love to work with you on this project.

Please send me:

Examples of past EAs/AI projects you coded.

Your estimated timeline and budget.

 Serious freelancers only — this project is for a high-level, ultra AI trading system that must deliver both prop firm compliance + profitability.

Con risposta

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Informazioni sul progetto

Budget
50 - 150 USD
Scadenze
da 1 a 21 giorno(i)