Launching today
TurbineFi
Build, backtest, and run prediction market trading bots
3 followers
Build, backtest, and run prediction market trading bots
3 followers
Build a Kalshi trading bot or Polymarket bot without writing an execution stack. TurbineFi uses AI to turn a plain English idea into an inspectable prediction market trading bot. Run a Kalshi backtest or replay supported Polymarket history, review simulated P&L and trade logs, compare strategy variations, then deploy to a self-custodial cloud runner - all in one workflow.
Hey Product Hunt 👋
I’m Adam, co-founder of the Ojo Network, where we're launching TurbineFi today.
We originally built TurbineFi to help traders hedge stablecoin risk. Then something unexpected happened: non-developers began using our AI-assisted system to build automated trading strategies of their own.
Trading automation shouldn’t require building and maintaining an entire execution stack, so we brought the system to Kalshi and Polymarket.
With TurbineFi, you can build a prediction market trading bot by describing your strategy in plain English. Review the generated logic, backtest it on historical data, and deploy it to an isolated cloud runner without giving TurbineFi custody of your funds.
People are already using TurbineFi to research and run crypto, weather strategies. Historical pricing and weather data help them test whether an idea holds up before putting capital behind it.
You can try TurbineFi free for 7 days and deploy up to 10 bots. After that, Basic is $99/month for 100 deploys / week and Pro is $199/month for 400 deploys / week.
One early user described the difference better than we could:
If you trade on Kalshi or Polymarket - or you’ve built a trading bot yourself - I’d especially love your feedback on the strategy builder, the clarity of our backtests, and what you would need to trust a bot before running it live.
Thanks for checking out TurbineFi. I’ll be here answering questions throughout the launch.
Typed a rough strategy idea and was surprised it spit out actual trade logs I could read, not just a black box. The backtest view made it easy to tweak entry rules and see P&L shift.
honestly the natural language to bot thing sounds pretty cool, but it would be really helpful to have a built in risk dashboard that flags over exposure on correlated markets before you deploy, like showing position concentration across kalshi and polymarket in one view