A prediction market trading bot helps you turn event-market ideas into rules-based strategies you can test, monitor, pause, and improve. TurbineFi lets self-directed traders describe strategies in plain English, run backtests, review risk, and connect automation across supported Kalshi and Polymarket workflows.
Build a prediction market trading bot in plain English
TurbineFi keeps the workflow practical: write the rule, test it, decide what risk is acceptable, then monitor the bot after launch.
From strategy idea to executable rules
TurbineFi is built for traders who know what they want to test but do not want to spend weeks wiring APIs, schedulers, position tracking, and deployment. Start with a sentence, inspect the generated logic, and decide whether the rule is clear enough to test.
Describe entry, exit, sizing, and venue constraints in plain English.
Review the structured strategy before committing capital.
Keep each bot tied to a transparent rule set instead of a black-box signal.
Backtest before live execution
A live bot should not be the first place a strategy meets market data. TurbineFi prioritizes backtesting, paper validation, and risk review before live execution.
Replay supported historical markets with modeled fees and fill assumptions.
Check drawdown, trade count, win rate, and behavior under bad conditions.
Retire weak strategies before they reach live execution.
Monitor, pause, and retire bots
Automation only helps when you stay in control. TurbineFi focuses on monitored execution, position visibility, and explicit controls for pausing or retiring strategies.
Track bot behavior after deployment.
Pause automation when liquidity, volatility, or assumptions change.
Treat every bot as a self-directed trading tool, not financial advice.
Transparent automation. Real risk.
Prediction markets carry risk. Backtests are simulations, live fills can differ, and no prediction market trading bot can guarantee profits.
A prediction market trading bot is software that follows predefined rules for event-market trades. TurbineFi helps you build those rules in plain English, backtest them, and monitor automation.
Can I use a prediction market trading bot on Kalshi and Polymarket?
TurbineFi is designed around Kalshi and Polymarket workflows where supported. Venue coverage, legal access, and execution capabilities can differ, so always confirm the supported workflow before going live.
How do I backtest a prediction market trading bot?
Define the rule, choose the markets, run the historical simulation, and review performance, drawdowns, fills, fees, and edge cases before live execution.
Can a prediction market trading bot guarantee profits?
No. A bot can enforce rules consistently, but market prices, liquidity, fills, fees, and event outcomes can all move against you.
What risks should I understand before automating prediction market trades?
Understand liquidity risk, slippage, partial fills, stale assumptions, platform rules, settlement risk, and the possibility that a strong backtest fails live.