open sourceother

QuantConnect

Empower your trading with advanced algorithmic strategies.

Developed by QuantConnect

Official Site
N/AParams
YesAPI Available
stableStability
1.0Version
MIT LicenseLicense
C#/.NETFramework
NoRuns Locally
Real-World Applications
  • High-frequency tradingOptimized Capability
  • Backtesting multiple strategiesOptimized Capability
  • Portfolio optimizationOptimized Capability
  • Historical data analysisOptimized Capability
Implementation Example
Example Prompt
Create a simple moving average crossover strategy for trading SPY.
Model Output
"if (SMA(ShortPeriod) crosses above SMA(LongPeriod)) then Buy(SPY); else Sell(SPY);"
Advantages
  • ✓ Supports multiple asset classes including equities, options, futures, and forex.
  • ✓ Offers extensive backtesting capabilities with historical data for accurate strategy validation.
  • ✓ Integrates with various APIs for data feeds, brokerage services, and research tools.
Limitations
  • ✗ Steeper learning curve for beginners due to technical complexity.
  • ✗ Limited customer support options compared to some paid platforms.
  • ✗ Requires programming knowledge, typically in C# or Python.
Model Intelligence & Architecture

Technical Documentation

QuantConnect offers a robust environment for algorithmic trading, supporting various asset classes and enabling users to leverage advanced analytics and data visualization tools for optimal strategy development.

Technical Specification Sheet
Technical Details
Architecture
Algorithmic Trading Framework
Stability
stable
Framework
C#/.NET
Signup Required
No
API Available
Yes
Runs Locally
No
Release Date
2011-01-01

Best For

Algorithmic traders, quantitative analysts, financial institutions.

Alternatives

AlgoTrader, TradeStation, MetaTrader, NinjaTrader

Pricing Summary

Free access with premium features available for a fee.

Compare With

QuantConnect vs AlgoTraderQuantConnect vs TradeStationQuantConnect vs MetaTraderQuantConnect vs Robinhood

Explore Tags

#ai#machine learning

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