Tick-accurate MT5 backtesting at ~1B ticks/s: memory-mapped tickstores, a JIT replay kernel verified against an independent reference, and research tools that guard against overfitting
Updated 2026-10-30 12:58:18 +00:00
Institutional-grade AI-powered Gold (XAUUSD) trading bot combining XGBoost ML models, Google Gemini sentiment analysis, and MetaTrader 5 execution.
algorithmic-trading
fastapi
forex-trading
gemini-ai
gold-trading
machine-learning
metatrader5
python
quantitative-trading
trading-bot
xauusd
xgboost
Updated 2026-10-21 13:03:00 +00:00
backtesting
backtesting-tools
claude-ai
forex
mcp-server
metatrader5
mql5
mt5
python
trading-toolkit
Updated 2026-10-08 16:00:48 +00:00
19-strategy MT5 trading system across Gold, NAS100, US30, US500, Crypto. Real-time Dash dashboard, alerts, journal, risk management.
Updated 2026-08-10 16:12:58 +00:00
Multi‑timeframe candlestick pattern scanner & backtester for MetaTrader 5 (supports M5, M15, H1, H4, D1 with ATR‑based stop losses, forward evaluation, R‑level tracking, and live alerting)
backtesting
candlestick-patterns
candlestick-patterns-detection
candlestick-scanner
metatrader5
probability
Updated 2026-07-08 09:44:25 +00:00
The trading bot is designed to automate trading strategies using historical data, technical indicators, and machine learning. It connects to the MetaTrader 5 platform, retrieves historical data, calculates indicators, generates trade signals, executes trades, and updates a neural network model based on trade outcomes.
Updated 2026-07-08 09:38:33 +00:00
Updated 2026-07-08 09:29:54 +00:00
Python Metatrade MQL5 - Zmq - Backtrader bridge
Updated 2026-07-05 10:57:43 +00:00
Updated 2026-07-05 08:13:38 +00:00
Deep Reinforcement Learning meets MetaTrader 5: this repo bridges SB3 agents (PPO, A2C, DQN) with MT5 for backtesting and live trading. Modular notebooks for training and analysis, plus a CLI bot with dry-run safety, market guards, and verbose logging.
Updated 2026-07-05 07:59:51 +00:00
An educational open-source project demonstrating how LSTM neural networks can be trained on real EURUSD market data and deployed to MetaTrader 5 through ONNX for quantitative trading research and learning.
algorithmic-trading
deep-learning
forex
forex-market
lstm
machine-learning
mt5
mt5-ea
onnx
pytorch
quantitative-trading
Updated 2026-07-05 07:54:19 +00:00
Updated 2026-02-28 21:22:43 +00:00
algorithmic-trading
atr
backtrader
forex
quant
quantitative-finance
risk-management
stop-loss
trading-strategy
usdchf
Updated 2025-08-30 13:05:54 +00:00