🔎 📈 🐍 💰 Backtest trading strategies in Python.
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Updated
Jul 17, 2024 - Python
🔎 📈 🐍 💰 Backtest trading strategies in Python.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
A high-performance algorithmic trading platform and event-driven backtester
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures.
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
duka - Dukascopy historical data downloader
OANDA REST-V20 API wrapper. Easy access to OANDA's REST v20 API with oandapyV20 package. Checkout the Jupyter notebooks!
Telegram bot used for copying and entering signals from signal provider directly to MT4 and MT5 trading accounts with calculated lot sizes and profit/loss display
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
Simple version of auto forex trader build upon the concept of DQN
The AutoGPT MetaTrader Plugin is a software tool that enables traders to connect their MetaTrader 4 or 5 trading account to Auto-GPT.
Examples demonstrating the use of oandapyV20 (oanda-api-v20)
A fully automated Forex trading bot utilizing the OANDA API.
Twelve Data Python Client - Financial data API & WebSocket
Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress
I created this library to streamline the process of developing an Expert Advisor in MQL5. While MQL5 development can be complex, the same task is more straightforward in Python.
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