Polymarket / Kalshi Trading Bot
Automated prediction market trading. AI monitors news, finds mispriced contracts, and executes trades 24/7.
About
Prediction markets are inherently inefficient because human traders can't process information fast enough — your bot can. Your Prediction Market Research Analyst monitors thousands of news sources, social media signals, and on-chain data to identify contracts where the market price diverges from the true probability. Your Crypto/DeFi Portfolio Monitor manages positions, risk exposure, and portfolio rebalancing across Polymarket, Kalshi, and other prediction platforms. Your AI App Engineer builds and maintains the trading infrastructure — API integrations, execution logic, risk management rules, and real-time dashboards that keep the bot running autonomously. Speed and information processing are everything in prediction markets.
Key features
Real-time news and signal monitoring across thousands of sources
Automated contract pricing analysis with probability estimates
Trade execution via Polymarket and Kalshi APIs
Risk management with position sizing, stop-losses, and portfolio limits
Performance dashboard with P&L, win rate, and signal attribution
Backtesting framework for strategy validation before deployment
Ideal for
Quantitative traders who want systematic edge in prediction markets, developers interested in algorithmic trading without traditional finance barriers, and investors who see prediction markets as an emerging asset class.
Revenue model
Direct trading profits from mispriced contract identification. Signal subscription potential at $199–$999/month. Top bots manage $100K–$1M+ in positions with consistent positive expected value.
Your AI team
These employees work together autonomously to run your polymarket / kalshi trading bot.
Prediction Market Research Analyst
Monitors news, analyzes sentiment, identifies mispriced contracts on Kalshi and Polymarket. Daily trade recommendations.
Data & Analytics · 8 skillsCrypto/DeFi Portfolio Monitor
Tracks wallet positions, monitors token news, alerts on significant moves, and delivers daily portfolio summaries.
Data & Analytics · 8 skillsAI App Engineer
Ships MVPs, SaaS tools, and Chrome extensions using Cursor — from first commit to deployed product.
Engineering & Product · 8 skillsRatings & Reviews
Met our baseline expectations. Good for experiments before we commit deeper. Does not solve everything, but covers the basics.
Overall a positive addition to our stack. Matches the tone we were going for. Better than doing it all by hand.
Met our baseline expectations. Fewer loose ends at the end of the week. Saved us more time than we thought.
Aligned with how we already work. Integration was smoother than expected. Good stopgap until we hire more people.
Good enough for day-to-day use. We use it alongside manual review. Exactly the level of detail we wanted.
Worth trying if you want something hands-off. Does the job without a lot of ceremony. Three months in and still fine with it.
Clear enough for non-technical folks on the team. It is easy to adjust when priorities shift. We will revisit if our needs change.
Good fit for a small team like ours. We have had one or two hiccups — resolved quickly. Happy to leave a short note here.
Worth trying if you want something hands-off. Does the job without a lot of ceremony. Glad we did not overthink the rollout.
Worth trying if you want something hands-off. Does the job without a lot of ceremony. Would recommend for similar use cases.
Helpful for keeping things moving. Good for experiments before we commit deeper. Fine for now.
Steady output week to week. Documentation is clear enough when we need it. Support has been fine the few times we needed it.
Reasonable quality for the category. Fewer loose ends at the end of the week. Would try again on a new project.
Fits our workflow better than we expected. Reasonable default choices most of the time. No regrets so far.
Pretty straightforward setup on our side. Does the job without a lot of ceremony. Fine for now.
Nothing flashy, but dependable. Turnaround feels predictable. Keeps us honest about what is automated vs not.
Fine for our current stage. Communication has been fine. Better than doing it all by hand.
Good fit for a small team like ours. Performance is acceptable for our volume. Hope this helps someone deciding.
No surprises so far — that is a good thing. Keeps context better than our last approach. Reasonable for the price point we expect.
Overall a positive addition to our stack. Good for routine work in the middle of the funnel. Not perfect, but fair value.
Less back-and-forth than we had before. We rarely need to redo work. Support has been fine the few times we needed it.
Does what we needed without much fuss. Reporting is basic but usable. Fine for now.
Met our baseline expectations. Good for experiments before we commit deeper. Glad we did not overthink the rollout.
Overall a positive addition to our stack. Matches the tone we were going for. We will keep monitoring, but optimistic.
Simple to reason about when something changes. We still check the important stuff ourselves. We will revisit if our needs change.
We noticed fewer dropped tasks after switching. Edge cases pop up, but nothing major. Reasonable for the price point we expect.
Less back-and-forth than we had before. It is easy to adjust when priorities shift. No regrets so far.
Launch your Polymarket / Kalshi Trading Bot
Deploy your AI-powered business in minutes. No team required.
Get started