Strategy Automation
Your Strategy, Running Without You Watching
The Sterling Partners automation engine turns your entry and exit rules into a deployed, monitored, and auditable live strategy — without requiring a quant team to maintain it.
How Strategy Automation Works
You define your strategy logic using the visual rule builder — drag-and-drop conditions, indicators, and time filters — or write it directly in Python using our open SDK. Once validated against historical data in the backtesting module, you promote the strategy to paper trading for live-feed simulation, then to live execution with a single confirmation. The engine handles FIX order routing to your connected broker, position sizing based on your account equity, and real-time P&L attribution so you always know which rule generated which return.
Three Ways to Build Your Strategy
Whether you code or prefer a visual interface, the automation engine meets you where you are.
Visual rule builder
Configure multi-leg conditions using over 80 built-in indicators and order types. No code required. Rules are stored as version-controlled JSON so you can diff changes, roll back to a prior version, or share configurations with your team.
Python SDK
Full programmatic access to the order router, position manager, and event bus via our open-source Python SDK. Bring your own NumPy-based signal logic and let the platform handle execution infrastructure — authentication, retry logic, and rate limiting included.
Live monitoring dashboard
Every running strategy has its own tab: fill latency, slippage vs. theoretical, drawdown vs. target, and a chronological event log of every signal fired. If something behaves unexpectedly, you see it within seconds, not at end-of-day reconciliation.
“We moved our mean-reversion equity strategy from a spreadsheet-triggered script to the Sterling Partners Python SDK in about three days. Slippage dropped noticeably and we stopped babysitting the terminal every morning — the monitoring tab flags anything unusual before we even open our laptops.”
Tomaž Bergant, quant analyst, Celje
What Automation Won't Do for You
The platform executes the strategy you define — it does not design strategies on your behalf, and it does not guarantee that any automated strategy will be profitable. Market conditions change; a strategy with a strong backtest can still underperform live due to regime shifts, structural market changes, or edge cases not present in historical data. The automation engine is a precision execution tool: the quality of the output depends entirely on the quality of the logic you supply.
Deploy Your First Automated Strategy This Week
Our onboarding team will walk you through SDK setup and your first paper-trading session — usually completed in under two hours.
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