Mean reversionFade extreme prices on binary markets.
“Buy NO on any BTC 15-minute market trading above 85 cents if it has only been there for under 10 minutes.”
Build Prediction Market Strategies in Plain English
Ask Turbine
Buy NYC mayoral YES if Mamdani polls above 52% three days in a row.
Got it. I'll watch the polls, cap the risk, and show you the backtest before anything runs.
Yes, cap at $500 per contract.
Strategy ready. Review the backtest, then I'll get it running when you approve.
Build, backtest, and automate prediction market strategies in plain English.
Explore prediction market trading bot and Kalshi trading bot workflows.
Three steps. No code, no YAML, no PhD.
I
Tell Turbine what you want to trade.
Describe a strategy in plain English. Turbine turns your sentence into executable trading logic you can read. No black box, no formulas you do not understand.
II
Turbine shows you the backtest.
See how the strategy would have performed against the last 30 days of Kalshi 1-minute market data, with next-bar fills, bid/ask execution, and modeled fees.
III
Turbine gets it running.
When you approve the strategy, Turbine sends it to a dedicated sandbox for your account. It runs around the clock, even when your laptop is closed. Pause or retire it any time.
What users say
Trustpilot review
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.
JoeTurbineFi user
View sourceTrustpilot review
TurbineFi's been a solid way for me to get into automated trading without needing to code. ... I like that you can backtest ideas before putting real money on them. ... Their support actually answers questions and knows what they're talking about.
Erick MTurbineFi user
View sourceCustomer story@alfa_lupo
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.
DelzData Science @ Gauntlet & TurbineFi User
View sourceCustomer storyin/jotony-guerra
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.
jotonySoftware Engineer & TurbineFi User
View sourceSix starting points. Every card is an actual prompt you can paste into Studio right now.
Momentum fadeShort rallies on short-horizon contracts.
“When BTC rallies more than 0.4% in 15 minutes and the contract trades above 58 cents, short it for $200.”
News reactionTrade polling and headline spikes.
“Buy YES on NYC mayoral if three consecutive polls show Mamdani above 52%. Cap position at $500.”
Calendar arbitrageArb weekly against daily.
“If the weekly S&P contract trades above the sum of its daily contracts by more than 2 cents, sell the weekly and buy the daily basket.”
Event basketDiversify across correlated markets.
“Split $1,000 equally across every Fed rate cut market for the next meeting, weighted by open interest.”
Volatility harvestSell premium on stable ranges.
“On election markets where both YES and NO have traded between 40 and 60 cents for 24 hours, sell the overpriced side and buy it back.”
Plain English in, logic out.
Describe a strategy, see the rules Turbine wrote. Edit by chatting. Nothing you cannot inspect.
Thirty-day Kalshi replay.
Every backtest runs on historical Kalshi market data. Not synthetic prices, not a hand-wavy sim.
Cloud execution, always on.
Strategies run in isolated sandboxes, around the clock, until you pause them. Close your laptop.
Your keys, your control.
API keys stay stored on your specially-provisioned sandbox. Stop a strategy and positions stop immediately.
Where it plugs inKalshilivePolymarketliveManifoldcoming soon
Start small. Scale when you need it.
- Starter10 deploys per week, every supported bot type, and the full strategy workflow.
- $19/moBilled monthly.
- Basic · Pro100 or 400 deploys per week, with concierge support on Pro.
- $99 · $199/mo