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

Specifiche


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.

---


Con risposta

1
Sviluppatore 1
Valutazioni
(560)
Progetti
648
33%
Arbitraggio
41
41% / 46%
In ritardo
11
2%
Occupato
2
Sviluppatore 2
Valutazioni
(1)
Progetti
2
0%
Arbitraggio
2
0% / 50%
In ritardo
0
Gratuito
3
Sviluppatore 3
Valutazioni
(296)
Progetti
475
40%
Arbitraggio
105
40% / 24%
In ritardo
80
17%
Occupato
Pubblicati: 2 codici
4
Sviluppatore 4
Valutazioni
(1)
Progetti
1
0%
Arbitraggio
0
In ritardo
0
Gratuito
5
Sviluppatore 5
Valutazioni
(2)
Progetti
2
0%
Arbitraggio
1
0% / 0%
In ritardo
0
Gratuito
6
Sviluppatore 6
Valutazioni
(5)
Progetti
7
0%
Arbitraggio
8
13% / 75%
In ritardo
3
43%
Gratuito
7
Sviluppatore 7
Valutazioni
(2)
Progetti
2
0%
Arbitraggio
1
0% / 100%
In ritardo
0
Gratuito
8
Sviluppatore 8
Valutazioni
Progetti
0
0%
Arbitraggio
0
In ritardo
0
Gratuito
9
Sviluppatore 9
Valutazioni
Progetti
0
0%
Arbitraggio
0
In ritardo
0
Gratuito
Pubblicati: 3 codici
Ordini simili
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
Je cherche un développeur pour modifier mon robots code source MQ5 je veux cacher le suiveur c'est a dire le trail steps et aussi l'ordre en attente si possible . Je veux qu' il es un bouton d'activation sur le paramètre qui va me permettre de cacher le suiveur ( trail steps ) au yeux des courtiers

Informazioni sul progetto

Budget
5000 - 15000 USD
Scadenze
da 30 a 300 giorno(i)