Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
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Updated
Oct 11, 2024 - C#
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
🔎 📈 🐍 💰 Backtest trading strategies in Python.
A Java library for technical analysis.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
A high-performance algorithmic trading platform and event-driven backtester
🤖📈 EA31337 Lite, Advanced and Rider - Forex multi-strategy trading robot for MT4/MT5 platforms
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
A Java library for technical analysis ***Not maintained anymore, kept for archival purposes, see #192***
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.
Scripts for using on Binary.com Bots.
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Calculate your position size based on the risk and account size and execute your trades with this free MetaTrader expert advisor.
duka - Dukascopy historical data downloader
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
Low-latency algorithmic trading platform written in Rust
Indicators and EA Snippets for MetaTrader 5
OANDA REST-V20 API wrapper. Easy access to OANDA's REST v20 API with oandapyV20 package. Checkout the Jupyter notebooks!
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