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trading-strategies x

19 search results found

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Stocksharp ⭐ 6,569

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

Backtesting.py ⭐ 4,457

🔎 📈 🐍 💰 Backtest trading strategies in Python.

A Java library for technical analysis.

Ea31337 ⭐ 711

🤖📈 EA31337 Lite, Advanced and Rider - Forex multi-strategy trading robot for MT4/MT5 platforms

Autotrader ⭐ 692

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Lumibot ⭐ 544

Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more

Ta4j Origins ⭐ 376

A Java library for technical analysis ***Not maintained anymore, kept for archival purposes, see #192***

Indicators ⭐ 277

Technical indicators for cryptocurrencies, stocks and forex. To work with historical and real price data. One of the most efficient Javascript library implementations. The library has such indicators as: Relative Strength Index (RSI), Moving Average C / D (MACD), Average Directional Index (ADX), Stochastic Oscillator, Bollinger Bands, Average True Range (ATR) and many others

Quest in pursuit of the Golden Fleece in Forex chaos

Forex algorithmic trading framework using OANDA REST API.

Automated Trader (at). This is a framework for building trading bots.

Ea31337 Strategies ⭐ 65

🤖📈 EA31337 strategies.

Metatrader ⭐ 44

Expert advisors, scripts, indicators and code libraries for Metatrader.

A fully automated Forex trading bot utilizing the OANDA API.

Forex Backtesting ⭐ 31

Node.js-based framework for backtesting Forex trading strategies. See "cuda" branch for C++/CUDA version.

Forex Backtester Python ⭐ 11

An application to backtest basic trading strategies for the FX market, based on historical data.

Mql5 Public ⭐ 9

Interesting MQL 5 techinques, scripts, EA's and indicators

Algo Trading ⭐ 9

Financial Analysis and Algorithmic Trading Strategies in Python

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