Pyon and QuantConnect
Pyon and QuantConnect offer two different ways to build and test systematic strategies.
Start from a visual canvas rather than LEAN code.
QuantConnect's LEAN engine supports algorithms written in Python or C# and offers extensive research, data, and backtesting tools. Pyon starts from a visual canvas: connect market triggers, conditions, and actions, or ask its AI builder to draft a graph you can inspect and edit.
Pyon's strategy backtest reports trades, return, drawdown, Sharpe ratio, win rate, profit factor, and fees. It uses historical price aggregates, with commission and slippage settings available but off by default. If you want direct LEAN code, QuantConnect has a different and more code-centered workflow; if you want to start visually, Pyon offers that route.
Visual builder
Compose strategy logic on a canvas without starting with Python or C#.
AI drafting
Describe an idea, then inspect the agent's connected nodes and conditions.
Backtest diagnostics
Inspect trades, risk metrics, and conditions that prevented entries.
Connected accounts
Route through supported paper or live broker integrations when enabled for your account.
Pyon and QuantConnect side by side
| Feature | Pyon | QuantConnect |
|---|---|---|
| Strategy authoring | Visual node canvas and AI builder | Python or C# algorithms |
| Backtesting | Historical aggregate bars | LEAN engine |
| ML workflow | ML Lab and ml_predict nodes | Code and libraries |
| Trading mode | Paper and supported live brokers | Paper and supported live brokers |
Frequently asked questions
Can I import a LEAN algorithm?
Pyon uses a different graph-based strategy representation and does not currently offer direct LEAN code import. Rebuild the trading rules with supported canvas nodes or describe the logic to the AI builder and review its output.
Does Pyon have a Python SDK?
No public Python SDK is available in the current product. The visual canvas, AI builder, backtest, and ML Lab are the supported workflows.
Which is right for a developer?
QuantConnect is a strong option when you want direct Python or C# control in LEAN. Pyon is designed for a visual workflow, with AI-assisted graph creation and a separate ML Lab.