QuantConnect
Open-source algorithmic trading platform with cloud-based research, backtesting, and live deployment in Python and C# across all major asset classes.
★★★★★ 4.4/5
stocksoptionsfuturesforexcrypto
Quick Facts
- Starting Price
- Free
- Free Tier
- Yes
- Founded
- 2012
- Company
- QuantConnect Corporation
QuantConnect Overview
QuantConnect is an open-source algorithmic trading and quantitative research platform that enables traders to design, backtest, and deploy trading strategies using Python or C#. The platform provides institutional-quality data, a cloud-based IDE, and integration with multiple brokerages for live trading.
The LEAN Algorithm Framework is QuantConnect's open-source engine, available on GitHub and capable of running locally or in the cloud. The cloud platform provides free tier access with backtesting capabilities, while paid plans unlock more backtesting nodes, live trading, and Alpha Streams — a marketplace where algorithm developers can license their strategies to institutional investors.
QuantConnect provides tick-level data for US equities going back to 1998, forex data from 2004, crypto data from multiple exchanges, and futures and options data. The platform supports event-driven and scheduled universe selection, portfolio construction, risk management, and execution models. It integrates with Interactive Brokers, OANDA, Coinbase, Bitfinex, and other brokerages for live trading.
QuantConnect Pricing
Free
Free
- ✓ 1 backtest node
- ✓ Community data
- ✓ Cloud IDE
- ✓ Paper trading
Most Popular
Researcher
$8 /mo
$7.00/mo billed yearly
- ✓ 2 backtest nodes
- ✓ Jupyter notebooks
- ✓ 100GB data access
- ✓ Email support
Team
$20 /mo
$18.00/mo billed yearly
- ✓ 5 backtest nodes
- ✓ 2 live trading nodes
- ✓ Full dataset access
- ✓ Priority support
Trading Firm
$40 /mo
$36.00/mo billed yearly
- ✓ 10 backtest nodes
- ✓ 5 live trading nodes
- ✓ Dedicated support
- ✓ Custom data integration
Features
✗ AI Analysis
✓ Backtesting
✓ Paper Trading
✓ Price Alerts
✗ Mobile App
✓ API Access
✓ Social Features
✓ Broker Integration
✓ Custom Indicators
✓ Automated Trading
✗ Trade Journaling
✓ Performance Analytics
✓ Risk Management
✗ News Feed
✓ Education Content
Pros & Cons
Pros
- + Open-source LEAN engine — fully transparent
- + Institutional-quality data with tick resolution
- + Python and C# support with cloud IDE
- + Free tier is genuinely useful for learning
- + Active community and extensive documentation
Cons
- - Steep learning curve — requires programming skills
- - Cloud computing costs add up for heavy backtesting
- - Live trading setup can be complex
- - No visual strategy builder — code only
- - Data outside US equities can be limited on free tier
Rating Breakdown
4.4
★★★★★
Overall Rating
ease of use 3.5
features 4.8
value 4.5
support 4.2
reliability 4.6
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