FreelanceSections

An Institutional Expert Advisor based on AI and Smart Money Concepts (MQL5) required.

C++ Experts Forex Strategy optimization C++ Strategy modules JavaScript Collection of data on the internet Data mining

Spécifications


We are looking for a highly skilled *MQL5 developer or team* with strong expertise in *algorithmic trading* and *institutional-grade systems* to build an *AI-driven Multi-Strategy Expert Advisor (EA)* for *MetaTrader 5 (MT5)*.


🎯 Goal:  
To create an *institutional-level AI trading system*, capable of trading across all asset classes (Forex, indices, cryptocurrencies, commodities), adapting dynamically to market conditions and PropFirm rules.

---

🧠 Key Features:
- *Integrated Artificial Intelligence*:
  - Automatic selection of the most profitable strategy based on context.
  - Continuous learning from backtests and live trading data.
  - Intelligent risk and capital management.
- *Advanced Multi-Strategy Framework*:
  - Scalping, Intraday, Swing.
  - ICT/SMC concepts: Order Blocks, Fair Value Gaps (FVG), Liquidity Sweeps, CHoCH, BOS.
  - HFT (High Frequency Trading) for news, volatility spikes, and micro-movements.
- *Adaptive Modes*:
  - Private Accounts: aggressive trading, optional martingale on small accounts, full margin usage allowed.
  - PropFirm Accounts: strict compliance with rules (daily/overall drawdown, mandatory SL & TP, no martingale).
- *Robustness & Security*:
  - Slippage control, spread and volatility filters.
  - Auto-stop trading if maximum drawdown is reached.
  - Automatic reconnection and recovery after network issues.

---

⚙ Configurable Parameters:
- Mode (Private / PropFirm).
- Martingale settings (activation, scaling, deactivation).
- Risk per trade and max lot size.
- Daily and total drawdown limits.
- Strategy selection (enable/disable specific methods).
- Dynamic SL & TP levels.

---

📌 Required Skills:
- Strong experience in *MQL5 development* (complex EA projects).
- Proven track record in *institutional-grade trading systems*.
- Deep knowledge of *Smart Money Concepts / ICT*.
- Experience with *PropFirm trading rules & constraints*.
- Expertise in *AI for trading* (Machine Learning, Reinforcement Learning).
- Understanding of *HFT and market microstructure*.
- Professional and structured development approach.

---

💡 Performance Targets:
- Minimum success rate: *70%+*.
- Aggressive growth potential on small accounts.
- Stability, compliance, and consistency for PropFirm accounts.

---


Répondu

1
Développeur 1
Évaluation
(560)
Projets
648
33%
Arbitrage
41
41% / 46%
En retard
11
2%
Occupé
2
Développeur 2
Évaluation
(1)
Projets
2
0%
Arbitrage
2
0% / 50%
En retard
0
Gratuit
3
Développeur 3
Évaluation
(296)
Projets
475
40%
Arbitrage
105
40% / 24%
En retard
80
17%
Occupé
Publié : 2 codes
4
Développeur 4
Évaluation
(1)
Projets
1
0%
Arbitrage
0
En retard
0
Gratuit
5
Développeur 5
Évaluation
(2)
Projets
2
0%
Arbitrage
1
0% / 0%
En retard
0
Gratuit
6
Développeur 6
Évaluation
(5)
Projets
7
0%
Arbitrage
8
13% / 75%
En retard
3
43%
Gratuit
7
Développeur 7
Évaluation
(2)
Projets
2
0%
Arbitrage
1
0% / 100%
En retard
0
Gratuit
8
Développeur 8
Évaluation
Projets
0
0%
Arbitrage
0
En retard
0
Gratuit
9
Développeur 9
Évaluation
Projets
0
0%
Arbitrage
0
En retard
0
Gratuit
Publié : 3 codes
Commandes similaires
VICTOIRE MASTERCLASS 30 - 200 USD
import ccxt import pandas as pd import numpy as np import talib import time # Configuration exchange = ccxt.binance({ 'apiKey': 'VOTRE_API_KEY', 'secret': 'VOTRE_SECRET_KEY', }) # Paramètres de trading symbole = 'BTC/USDT' timeframe = '1h' montant = 100 # en USDT stop_loss = 0.98 # 2% de perte maximale take_profit = 1.03 # 3% de gain def recuperer_donnees(): ohlcv = exchange.fetch_ohlcv(symbole, timeframe

Informations sur le projet

Budget
5000 - 15000 USD
Délais
de 30 à 300 jour(s)