Summary
PolyScanner runs configurable bots for prediction markets, with paper simulation and planned live execution.
About
PolyScanner is a prediction-market automation tool that lets users configure bots and evaluate their activity in a paper-simulation environment. Live trading is described as a future capability dependent on platform enablement and wallet authorization.
PolyScanner provides configurable autonomous bots for prediction markets covering crypto, weather, sports, politics, and news. Its current paper-simulation environment includes private workspaces, open and realized profit-and-loss tracking, activity logs, public leaderboards, and referrals. Live execution is planned to follow Polymarket enablement and requires explicit wallet authorization.
Key Features
Configurable bots for crypto, weather, sports, politics, and news markets
Paper simulation for testing bot activity without live execution
Private workspaces
Open and realized profit-and-loss tracking with activity logs
Public leaderboards and referrals
Real-World Use Cases
Strategy simulation
Use paper trading to observe how configured bots perform across supported prediction-market categories before considering live execution.
Market activity monitoring
Review bot activity and open or realized profit and loss through workspace logs and tracking.
Community performance comparison
Use public leaderboards to compare visible performance and referrals to invite other users.
Business Opportunities
Prediction-market strategy testing
Problem: Users may want to assess automated strategies without immediately committing funds to live market activity.
Solution: Use configurable bots in the paper-simulation environment and review activity logs and profit-and-loss measures.
Estimated ROI: Unquantified. Simulation may support more informed strategy decisions, but the description provides no evidence of financial returns.
Execution: Configure bots for relevant market categories, run simulations, and evaluate recorded activity and PnL before deciding whether to pursue live execution.
Market research across event categories
Problem: Analysts may need a structured way to observe automated activity across diverse event-driven markets.
Solution: Use bots across crypto, weather, sports, politics, and news, with workspace logs and PnL tracking to review simulated activity.
Estimated ROI: Unquantified. Potential value is in research and workflow visibility; no financial or productivity outcomes are specified.
Execution: Select relevant categories, configure and run bots in paper mode, then review activity logs and performance indicators for research purposes.