Data reactionTrade after confirmed external updates.
“Buy YES when two trusted data sources confirm the update and the market spread is under 4 cents, max $400.”
Build a Prediction Market Trading Bot in Plain English
Ask Turbine
Buy YES when a prediction market moves on fresh data, but only if liquidity and spread are healthy.
Got it. I'll define the venue filter, sizing cap, exit rule, and backtest assumptions before anything runs.
Cap exposure at $500 and pause if the thesis breaks.
Prediction-market bot ready. Review the backtest and controls, then I'll get it running when you approve.
Turn event-market ideas into explicit entry, exit, sizing, and pause rules. Backtest the strategy, review the logic, then run monitored automation when you approve.
Built for traders exploring Kalshi trading bot and Polymarket trading bot workflows.
Describe the signal, venue, sizing, exit, and stop rule.
I
Describe the trading rule.
Start with the market type, trigger, venue constraints, sizing cap, exit rule, and pause condition. Turbine turns the prompt into inspectable bot logic.
II
Backtest and inspect assumptions.
Review simulated behavior where historical data is supported, including fills, fees, drawdown, trade count, and cases where live markets may differ.
III
Deploy only when you approve.
Approved bots run in monitored cloud sandboxes. You stay in control with visible pause, retirement, and exposure limits.
What Users Say
You can tell a lot of love was put into this project. Very friendly UI and easy to use tools. The creator is a very knowledgable and customer service is top notch.
TurbineFi's research and tools make automated trading on prediction markets dead simple. I was planning to build my own trading bot on Kalshi, but TurbineFi let me deploy my strategy in minutes instead of hours.
TurbineFi has let me turn prediction markets into a playable game...10 out 10 would recommend. Being able to chat and create strategies is extremely helpful and allows for an intuitive learning process.
Every example starts with a plain-English rule you can inspect before putting capital behind it.
Momentum fadeFade overextended short-horizon moves.
“Buy NO when a short-duration market trades above 85 cents after a single sharp move without confirming data.”
Cross-venue scanCompare related markets across venues.
“Watch related Kalshi and Polymarket markets, alert me when prices diverge by more than fees and liquidity costs.”
Liquidity guardAvoid thin markets automatically.
“Trade only when top-of-book liquidity is above $2,000 and pause if the spread widens above 6 cents.”
Event basketSize across correlated outcomes.
“Split $1,000 across the most liquid related outcomes, weighted by order-book depth and capped at $250 each.”
Risk-off switchMake stop rules explicit.
“Pause the bot after two losing trades, $150 daily drawdown, or any unresolved market dispute risk.”
Plain English becomes bot logic.
Describe the market, signal, venue, sizing, and stop rule. Turbine makes the resulting strategy inspectable before execution.
Backtests before live capital.
Review historical behavior and execution assumptions before deciding whether a strategy deserves automation.
Supported venues in one workflow.
Prototype Kalshi and Polymarket-style strategies from the same Studio flow, with venue-specific controls where needed.
Always-on, never hands-off.
Bots run in isolated cloud sandboxes, but pause controls, sizing caps, and retirement decisions stay visible.
Where it plugs inKalshilivePolymarketliveManifoldcoming soon
One price. Cancel anytime.
Beta pricing
$99/ month
Seven days free. After that, $99 a month (limited time, reg. $199).
Build a bot- BasicCloud deployments, unlimited strategies, in-depth research, every supported venue.
- $99/moLimited time. Reg. $199.
- ProFor funds and serious quants. API access, multi-strategy, concierge support. Contact us.
- $299/mo