Storyclaw Polymarket Tradingv0.1.0

Users trade on political prediction markets such as election outcomes or policy decisions. The bot scans for liquid markets with keywords like 'election' or 'vote', applies orderbook imbalance signals, and auto-improves parameters based on paper trading performance before seeking live trading approval.

Automated trading on sports prediction markets for events like game results or player performances. The bot filters markets by sports keywords and liquidity, uses signals to identify mispriced odds, and iteratively refines strategies through dry runs to achieve a target edge before going live.

Trading on crypto-related prediction markets such as Bitcoin price movements or DeFi protocol outcomes. The bot focuses on markets with high liquidity, applies signal methods to detect imbalances, and auto-adjusts parameters like entry thresholds to optimize returns in volatile conditions.

Users engage with markets predicting tech adoption, scientific breakthroughs, or product launches. The bot scans for relevant keywords, employs dry-run trading to test strategies, and notifies users when performance meets edge targets for potential live switching.

Charge users a monthly fee for access to the self-evolving trading bot, including features like automated strategy improvement, performance reviews, and multi-user support. Revenue scales with user base and usage tiers.

Implement a fee structure where the bot takes a percentage of profits generated from live trading, incentivizing continuous optimization. This aligns revenue with user success and can be combined with a base subscription for dry-run features.

License the bot to financial institutions, hedge funds, or research firms for internal use on prediction markets. Offer custom integrations, advanced analytics, and dedicated support, generating revenue through upfront licenses and ongoing maintenance fees.