What It Does
Tracks market data, stores research snapshots, simulates structural trades, and monitors outcomes before real capital is deployed.
Prediction Market Research Lab
Building a live research and paper-trading system for event markets.
Aseem is building a structured platform to scan prediction markets, archive orderflow, test market-structure strategies, and monitor live paper-trading performance from a single dashboard.
Current Focus
Complete-set arbitrage, exact-one event baskets, ladder consistency analysis, and forward paper trading with strict risk controls.
Operating Model
Research first, then paper validation, then small live rollouts. The system is built to stay measurable, auditable, and conservative.
About
This project is an independent trading and analytics stack for prediction markets. The main objective is to identify structural opportunities, paper trade them, and only deploy live capital after the edge holds up under real operating conditions.
The system currently combines research ingestion, orderbook analysis, paper-trading scorecards, infrastructure monitoring, and a live dashboard running on a hardened droplet behind Cloudflare Access.
Changelog
March 8, 2026
Launched the public landing page and live dashboard on `predictionmarketbot.ai` and `dashboard.predictionmarketbot.ai`.
March 8, 2026
Enabled Cloudflare Access for the dashboard, moved login to email-based access control, and blocked direct origin access on ports 80 and 443.
March 8, 2026
Shipped structural research ingestion, paper-trading analytics, and the first monitoring dashboard for signals, open paper baskets, and live bot telemetry.