Prediction Market Research Analyst
Monitors news, analyzes sentiment, identifies mispriced contracts on Kalshi and Polymarket. Daily trade recommendations.
About
Your Prediction Market Research Analyst is your edge in prediction markets. It monitors breaking news across politics, economics, sports, and culture, analyzes sentiment and probability shifts, identifies mispriced contracts on platforms like Kalshi and Polymarket, and generates daily trade recommendations with confidence scores and reasoning. It tracks your portfolio performance and adjusts recommendations based on outcomes. In a market where information speed is everything, this employee processes news faster than any human trader.
What they do
Monitor breaking news and events that affect prediction market contracts
Analyze sentiment and probability shifts across active markets daily
Identify mispriced contracts with asymmetric risk/reward profiles
Generate trade recommendations with probability estimates and reasoning
Track portfolio performance and win rate across all recommendations
Deliver daily market briefs with top opportunities and risk alerts
Skills
Tools
Expected results
Identify 5+ mispriced contracts per week
Achieve 60%+ win rate on trade recommendations
Generate daily market briefs within 30 minutes of market open
Monitor 100+ active contracts across prediction platforms
Businesses that hire this role
These business templates include a Prediction Market Research Analyst on their AI team.
Sports Betting Picks Service
Daily picks, statistical modeling, subscriber management, and content across NFL, NBA, MLB, and more.
Media & Content · 3 employeesPrediction Market Trading Desk
AI research team monitors news, analyzes sentiment, and identifies mispriced contracts on Kalshi and Polymarket.
SaaS & Tech · 2 employeesPolymarket / Kalshi Trading Bot
Automated prediction market trading. AI monitors news, finds mispriced contracts, and executes trades 24/7.
SaaS & Tech · 3 employeesCrypto Trading Bot
Deploy an AI-powered trading bot across CEX and DeFi. Monitor, rebalance, and execute trades around the clock.
SaaS & Tech · 3 employeesRatings & Reviews
Solid experience overall. Matches the tone we were going for. Keeps us honest about what is automated vs not.
Overall a positive addition to our stack. Good for routine work in the middle of the funnel. Good stopgap until we hire more people.
Nothing flashy, but dependable. The handoffs are usually clean. Hope this helps someone deciding.
Good enough for day-to-day use. We use it alongside manual review. Better than doing it all by hand.
Steady output week to week. Turnaround feels predictable. Not perfect, but fair value.
Fits our workflow better than we expected. Helpful when the team is stretched thin. Fine for now.
Steady output week to week. Edge cases pop up, but nothing major. Glad we did not overthink the rollout.
Pretty straightforward setup on our side. Keeps context better than our last approach. Would try again on a new project.
No surprises so far — that is a good thing. Keeps context better than our last approach. Keeps us honest about what is automated vs not.
Aligned with how we already work. Integration was smoother than expected. Reasonable for the price point we expect.
We noticed fewer dropped tasks after switching. We have had one or two hiccups — resolved quickly. Would recommend for similar use cases.
Fits our workflow better than we expected. Reasonable default choices most of the time. Hope this helps someone deciding.
Fine for our current stage. We have not outgrown it yet. Reasonable for the price point we expect.
We noticed fewer dropped tasks after switching. Edge cases pop up, but nothing major. Keeps us honest about what is automated vs not.
Less back-and-forth than we had before. It is easy to adjust when priorities shift. Three months in and still fine with it.
We noticed fewer dropped tasks after switching. We have had one or two hiccups — resolved quickly. Does not solve everything, but covers the basics.
Nothing flashy, but dependable. Turnaround feels predictable. Happy to leave a short note here.
Reasonable quality for the category. Handles volume better than we could manually. We will revisit if our needs change.
Does not require constant babysitting. Integration was smoother than expected. Better than doing it all by hand.
Worth trying if you want something hands-off. Does the job without a lot of ceremony. Does not solve everything, but covers the basics.
Reasonable quality for the category. Fewer loose ends at the end of the week. Hope this helps someone deciding.
Does not require constant babysitting. Integration was smoother than expected. Better than doing it all by hand.
Helpful for keeping things moving. Good for experiments before we commit deeper. Keeps us honest about what is automated vs not.
Fine for our current stage. We have not outgrown it yet. Fine for now.
No surprises so far — that is a good thing. Helpful when the team is stretched thin. Exactly the level of detail we wanted.
Steady output week to week. Edge cases pop up, but nothing major. Would try again on a new project.
Reasonable quality for the category. Handles volume better than we could manually. Not perfect, but fair value.
Hire your Prediction Market Research Analyst today
Always on, always learning, always shipping. No interviews, no onboarding — just results.
Get started