QuantConnect
QuantConnect is an open-source algorithmic trading platform that allows traders to design, backtest, and deploy trading algorithms. It supports C#, Python, and F# and integrates with brokers like Interactive Brokers to execute live trades.
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QuantConnect: Open-Source Algorithmic Trading Platform
An open-source algorithmic trading platform allowing traders to design, backtest, and deploy trading algorithms in C#, Python, or F# with integration to Interactive Brokers for live trade execution.
What is QuantConnect?
QuantConnect is an open-source algorithmic and quantitative trading platform designed to allow traders to quickly develop, backtest, and deploy algorithmic trading strategies. It was launched in 2011 by QuantConnect Corporation.
Some key features of QuantConnect include:
- Supports development of trading algorithms in C#, Python, and F#. Has 500+ indicators and techniques built-in.
- Allows backtesting against 10+ years of historical data across stocks, forex, CFDs, futures, and options.
- Brokerage integration with Interactive Brokers, OANDA, FXCM and more for live trading.
- Free cloud-based platform with 1GB of data. Paid subscriptions offer more data, processing power, and features.
- Community support via forums and GitHub. Users can share strategies and algorithms.
- Detailed statistics on backtest performance to evaluate and improve strategies.
By providing an integrated algorithmic trading platform for free, QuantConnect aims to make algorithmic trading more accessible. The paid tiers and community focus also aid professional quants and individual traders alike.
QuantConnect Features
Features
- Open-source algorithmic trading platform
- Supports C#, Python, F# for coding algorithms
- Cloud-based backtesting of trading strategies
- Paper trading to test strategies with real market data
- Web IDE for coding, backtesting, and deploying algorithms
- Integration with Interactive Brokers for live trading
- Community of 100k+ members sharing algorithms
Pricing
- Freemium
- Subscription-Based
Pros
Free to use for basic backtesting
Large library of sample algorithms to learn from
Easy to get started coding and testing strategies
Flexibility to code algorithms in different languages
Real-time and historical market data available
Active community for collaboration
Cons
Limited backtesting capacity on free tier
No support for other languages like R or Matlab
Less flexibility than running own backtester
Must pay commissions for live trading through IB
Limited customization compared to own platform
Official Links
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