Price moves
Momentum and mean reversion
Define entries and exits around momentum or mean reversion.
Automated Trading Bots for Prediction Markets
POWERED BY TURBINEFIAsk TurbineAsk Mangrove
Build a prediction market strategy with clear entry rules, exits, and exposure limits.
Which market and signal should it use? Let’s define the rules before testing.
Keep exposure below $500 and avoid spreads wider than 4 cents.
We’ll include those limits in the draft, review the backtest where data is available, and deploy only when you approve.
Turn your trading strategy into an automated bot with TurbineFi. Configure entry rules, exits, and exposure limits in plain English. Backtest against supported historical data, deploy when you’re ready, and monitor activity from Studio.
Build for supported Kalshi and Polymarket markets, with strategy rules you can review before trading begins.
You choose the strategy, approve deployment, and control when to stop.
How it works
From strategy idea to monitored automation, in four steps.
Choose or configure a strategy
Start with an existing strategy or describe your own idea. Specify the market, what should trigger a trade, how much the bot can commit, and when it should exit. Turbine helps turn those instructions into a strategy you can inspect and refine.
Backtest it
Test your rules against supported historical data. Review simulated trades, profit and loss, drawdown, and execution assumptions before deciding whether to proceed. Coverage and simulation details vary by market and strategy.
Deploy an automated bot
Connect the required venue credentials, review your limits, and approve deployment. Your bot runs on a private cloud runner and evaluates trades according to the strategy you configured.
Monitor activity and refine
Review bot status, logs, fills, and exposure. Stop the bot when needed, revise the strategy, and backtest changes before deploying an update.
Build around the way you trade
An automated prediction market trading bot needs clear instructions: which markets to trade, when to enter, how to exit, and how much exposure to take.
Describe those decisions in plain English. Turbine’s AI helps draft and revise the strategy, while keeping its rules available for review. You can adjust the logic before backtesting or deployment.
External signals
Rules informed by data
Use supported data, such as Coinbase prices or National Weather Service data, to inform trading rules.
Liquidity conditions
Constraints on execution
Set spread thresholds and position limits to constrain when and how the bot trades.
Each idea needs testing against the markets and data available for it.
Explore building strategies in Studio →Understand the backtest before going live
A return figure is only part of the result. Inspect how the strategy traded, how far it drew down, and whether its behavior depended on favorable fills or a small number of trades.
Turbine’s backtesting workflow helps you evaluate:
- Simulated profit and loss, drawdown, and trade count.
- Fill assumptions and modeled execution costs.
- The historical window and data available for your strategy.
Use the results to refine the rules—or decide the idea should go no further. Backtests are simulations, and live results can differ.
Keep your automated bot in view
Once deployed, your prediction market bot runs in the cloud. You can follow its status, inspect logs and fills, and review exposure as it operates.
Keep the strategy tied to explicit limits. If market conditions change or execution differs from your expectations, stop the bot and review the behavior before updating it.
See the workflow in action
Watch how a trading idea becomes a strategy you can review, backtest, and deploy.
What users say
Trustpilot review
This platform is on easy mode, i had no experience at all on this but you have a lot of tools to get started, everything is fully explained, AI assistance all the time and super high speed support team always available and willing to help. 100% worth it.
Josue SabinoTurbineFi user
View sourceTrustpilot review
Pretty easy to get started if you have a kalshi account!
Tim DarrahTurbineFi user
View sourceTrustpilot 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 source
Trustpilot 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 source
Customer 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 source
Start with one bot
Plans start at $19/month. Starter includes backtesting, paper trading, 10 deploys per week, and one bot running at a time. Higher plans provide more deployment capacity and concurrent bots.
Frequently asked questions
How does an automated prediction market trading bot work?
A bot evaluates market conditions and places or manages orders according to configured rules. With TurbineFi, you define the strategy, review its logic, and approve deployment. Once running, the bot can execute those rules without you manually submitting each trade.
Can I backtest before trading with real money?
Yes. Turbine supports backtesting against available historical market data. You can inspect simulated trades, drawdown, and execution assumptions before deploying. Coverage depends on the venue, market, strategy, and historical window. Paper trading is also available.
Do I need to know how to code?
You can build and configure supported strategies in plain English through Studio. Turbine’s AI helps translate your instructions into a structured strategy. You still need to review the trading logic, understand the limits, and decide whether to deploy.
What does the AI do in an AI prediction market bot?
Turbine’s AI helps express, review, and revise your strategy. The deployed bot executes the configured trading rules. AI assistance does not establish that a strategy has an edge or guarantee that it will make money.
Which prediction markets can I use?
Turbine supports Kalshi and Polymarket workflows. Available strategies, historical data, and execution capabilities vary by venue. Confirm support for your intended market and the account access required before deployment.
Can I monitor or stop my bot?
Yes. You can review bot status, logs, fills, and exposure, and stop a bot when needed. You can also revise a strategy and deploy an updated version after reviewing and testing the changes.
What are the risks?
Automated trading can lose money. Poor signals, overfitting, fees, thin liquidity, partial fills, stale data, technical failures, and unexpected settlement outcomes can affect results. Position limits and stop conditions help constrain activity but cannot eliminate losses.
Build your next prediction market trading bot
Bring a strategy you want to test. Turn it into clear rules, inspect the backtest, and decide when it’s ready for automation.
Build your bot in StudioView pricing →Trading involves risk. Past performance does not guarantee future results. TurbineFi does not provide financial advice.