The agentic platform for systematic investing.
Compose strategies from blocks, let the AI research alongside you, and deploy with the rigor a desk demands.
Everything a desk needs, in one agent
Build, validate, and ship systematic strategies without leaving the canvas.
Ship with confidence
Every strategy is backtested across bull, bear, and chop regimes before it can go live.
- Walk-forward validation
- Regime sweep across 12y
- Risk limits within mandate
- Slippage and cost model
Adapts to your mandate
Encode your risk limits and house rules once. The agent enforces them on every build.
max_gross_exposure: 1.5x per_name_cap: 8% stop_loss: drawdown > 10%
# enforced on every build
- no lookahead in signal windows
- position sizing vol-targeted
- sector neutrality required
The agent reviews your alpha
Pyon flags lookahead bias, overfit parameters, and leverage spikes before you deploy.
Caught an overfit lookback on the 5-day window.
Describe it. The agent architects it.
Say what you want in plain English. Pyon composes it into modular nodes, triggers, conditions, actions, and AI logic, that compile to a validated, auditable graph. Systems, not scripts.
Done. I composed 5 nodes and wired the graph:
Your own models, trained in the Lab
Pick features, train on real market data, validate walk-forward, and drop the signal straight into a strategy as a node. No notebooks, no glue code.
A trading desk for your AI agents
Pyon speaks MCP. Point Claude Code, Claude Desktop or Cursor at one endpoint and your agent gets the whole desk: live market data, strategy building, backtesting, research and parameter tuning, as tools it can call.
pyon-mcp.claude mcp add pyon -e PYON_API_KEY=pyk_your_key -- npx -y pyon-mcpAI-powered
agent creation
Describe a thesis. Our co-pilot builds an autonomous agent.
See AI disclosures.
I'd like a strategy that benefits from demand for GPUs.
Here's a strategy that focuses on companies involved in the production and development of GPUs:
Serious backtesting for serious capital
Point-in-time data, regime-aware results, and the risk diagnostics a desk signs off on.
Survivorship-bias-free history
Backtests run on the universe as it actually was, delisted names included, so winners are not quietly assumed.
- Active tickers3,400
- Delisted included1,210
- Point-in-time fundamentals12y
Regime-aware results
Performance is broken out across bull, bear, and choppy regimes so a single benign decade cannot flatter a strategy.
- Bull+24.1%
- Bear-6.8%
- Chop+3.2%
Risk diagnostics, not vanity returns
Drawdown, tail risk, and stress metrics sit next to the return, the way an allocator reads a track record.
- Max drawdown
- -11.4%
- Sharpe
- 1.83
- Sortino
- 2.41
- VaR (95%)
- -2.1%
Institutional-grade testing. Not toy backtests.
Pyon is Deployed and Operating
Limited time offer. Join the beta.