Structured tutorials for investors who build with data. From factor research to live automation — everything you need to research, construct, and run systematic strategies.
Interpret backtest results, analyze factor attribution, and refine portfolio construction for live use.
One tutorial to ground you in the platform — what it is, how it's structured, and where everything lives before you build anything.
A complete walkthrough of the platform — data sources, the research workspace, strategy builder, backtesting engine, and automation layer. Where everything lives and how it connects.
Four tutorials covering strategy construction from first edit to advanced signal design — including how to think rigorously about backtest validity.
Modify strategy rules, adjust factor parameters, and analyze how changes affect historical performance.
Test different factor combinations, rebalance schedules, and portfolio constraints to discover what drives stronger long-term results.
Learn what Sharpe ratio, drawdown, volatility, and other key metrics reveal about a strategy’s historical behavior.
Save strategies, export results, and organize your research into a repeatable workflow you can revisit anytime.
Two tutorials that close the loop — paper trading to validate execution logic, then live trading to run your strategy in real markets.
Run strategies with simulated capital to validate execution behavior, automation flow, and portfolio logic before deploying live.
What factors are, why they work, and how to combine them into a coherent research framework.
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