Follow these simple steps to begin your algorithmic trading journey
A guided path for creating and testing your own strategy
Copy from one of our sample strategies or create your own from scratch. Use our simple drag-and-drop builder or code your strategy in Python. Build a trading strategy to capture your idea.
Backtest your strategy with historical data and forward test it in a simulated virtual portfolio. Hypothetical and simulated results are not actual trading and do not predict future performance.
Review currently available providers and connect an eligible account. Live use requires separate account-owner authorization and remains subject to provider restrictions.
Create a class to manage groups of students easily. Name your class to match course name. Invite students to join your classroom.
Configure academic contests using the rules currently available to your program.
Students can trade equity or derivatives in their virtual portfolio. View and track students' trades and virtual portfolio performance.
Choose visual configuration or supported Python code and review each user-authored input.
Create complex trading strategies without writing a single line of code.
Write user-authored strategy logic with the supported Python SDK.
Review available strategy and account data, subject to provider, entitlement, and system limitations.
Create an account to explore Investfly's strategy configuration and testing tools.
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