QuantStudio
Quant trading using Python and Block Code. Live and Backtest
6 followers
Quant trading using Python and Block Code. Live and Backtest
6 followers
QuantStudio is a zero-setup, browser-based quant trading sandbox built to turn ideas into backtested strategies in seconds. Move seamlessly between drag-and-drop visual logic blocks and raw Python—no local environments or dependencies required. Guided by an AI Strategy Copilot, you can debug code, optimize parameters, and generate instant equity curves, drawdowns, and performance analytics. Build, backtest, and iterate on trading algorithms faster—entirely in your browser.
Pythagora
@benjamin_davidson Really exciting launch. The focus here is clear and the product looks polished—congrats! 🚀
The visual blocks to Python switch is genuinely handy for prototyping, and the AI copilot caught a bug in my first backtest that I totally missed. Wish it had a few more built-in indicators, but for a zero-setup sandbox this is solid.
The switch between drag-and-drop blocks and raw Python without losing context is genuinely well executed. Most tools force you to pick one workflow, so having both live side by side feels like a thoughtful design choice rather than a feature checklist item.
Congrats on the launch. One thing I'd love to see is built-in walk-forward optimization that automatically splits data into rolling train and test windows, so I can check whether my strategy's edge holds out of sample instead of just on a single backtest slice. That would save me from wiring it up manually every time.