Today we rolled out a major update to FactorBench: a chat-first workflow that turns plain-English prompts into strategy screens, backtests, charts, and seasonality studies. If you have ever wished for a ChatGPT-style interface for quant research, this is it.
What changed
- AI chat as the primary interface: Ask for a strategy, screen, backtest, chart, or seasonality study in one message.
- Strategies and backtest configurations are separate: Build once, then reuse backtest settings across strategies.
- Defaults are smart: If you do not specify backtest settings, we run the default configuration for your plan.
- Results are saved and shareable: Screen, backtest, chart, and seasonality results are stored and can be shared with links.
Why it matters
This rework makes research faster and more repeatable. You can iterate on strategy logic without touching backtest settings, then validate signals with charts or seasonality and share results as needed.
Try it now
Open a chat, describe your idea, and run a screen, backtest, chart, or seasonality view in minutes. Start here.
