Tenki is an AI-powered research and decision-support platform built for Kalshi prediction market traders. Instead of manually checking only a handful of markets each day, Tenki’s AI pipeline scans 10,000+ active Kalshi markets overnight, filters them by volume, liquidity, and price efficiency, and identifies a select few where the market price appears meaningfully misaligned with the underlying evidence. The platform then performs deep probability research on each shortlisted market by analyzing current news, historical patterns, and arguments on both sides of the trade, ultimately surfacing 3–7 high-conviction picks before market open.
Key Features
- AI-powered prediction market scanning and research
- Monitors 10,000+ active Kalshi markets daily
- Filters markets by liquidity, volume, and pricing efficiency
- Identifies potential market mispricing opportunities
- Deep probability analysis using news + historical patterns
- Presents bull case, bear case, and risk factors
- Delivers 3–7 curated picks each morning
- Includes direct links to active Kalshi markets
Pros
- Saves traders hours of manual market screening
- Covers far more markets than most individual traders
- Strong focus on evidence-backed probability research
- Useful for spotting pricing inefficiencies
- Helps structure decision-making with both-side analysis
- Ideal for active prediction market participants
Cons
- Signals are still probabilistic, not guaranteed outcomes
- Best suited for users already familiar with Kalshi
- Market conditions can change rapidly after research is delivered
- Requires user judgment and risk management
- Premium picks and full track record access may require subscription
Who Is This Tool For?
- Prediction market traders
- Active Kalshi users
- Quant-minded retail traders
- Event-driven traders
- Macro and economics market participants
- Users looking for research-backed trading signals
Pricing Packages
- 14-Day Free Trial: Available
- Paid Plan: $12/month
- Premium / Future Plans: Potential advanced analytics and alerts
