Trade Validationv1.0.0

A user evaluates a binary market on Polymarket predicting election outcomes, scoring each dimension like Information Edge and Source Quality to decide if a trade meets the 80% threshold. This ensures disciplined betting on high-stakes political events with clear catalysts.

A trader assesses a market on Kalshi for GDP growth forecasts, applying the framework to check liquidity and downside protection. It helps avoid trades in low-liquidity markets and enforces risk limits like the daily loss circuit breaker.

An investor uses the skill to score a Polymarket bet on Bitcoin reaching a specific price, focusing on dimensions like Market Efficiency and Event Catalyst. It prevents misuse for general crypto analysis by requiring discrete outcomes.

A user scores each outcome separately in a Polymarket market with multiple possible results, ensuring each meets veto rules and weighted scores. This handles complex markets while maintaining position sizing discipline.

A trader runs the mandatory pre-trade checklist before placing a conviction-tier bet, documenting counter-arguments and verifying risk exposure limits. This enforces systematic decision-making to avoid emotional trading.

Offer a subscription-based platform integrating this scoring framework with automated trade journals and real-time market data from Polymarket/Kalshi. Revenue comes from monthly fees for premium features like advanced analytics and alerts.

Provide advisory services using the framework to help hedge funds or family offices manage prediction market portfolios. Revenue is generated through retainer fees or performance-based commissions on successful trades.

Sell courses, webinars, and downloadable templates like the score card to retail traders. Revenue streams include one-time purchases for toolkits and affiliate marketing with prediction market platforms.