Key Points
- 1.The video presents an AI-driven trading strategy for Polymarket.
- 2.Focus on market making to avoid fees and slippage.
- 3.Use AI to calculate fair value prices for better decision-making.
Summary
Introduction to Agentic AI Trading Strategy
The creator discusses a testing strategy called agentic AI for trading on Polymarket. Unlike typical users who are on the taker's side, this strategy emphasizes market making to optimize trading outcomes.
Avoiding Fees and Slippage
The strategy is designed to minimize trading fees and slippage, which can erode profits. By being on the maker side, traders can post bids and avoid the high costs associated with taker trades.
Finding Fair Value Prices
The strategy involves calculating a fair value price using AI to analyze vast amounts of data. This calculated fair price helps identify when to place resting orders, enabling traders to seize opportunities when market prices deviate from this value.
Dynamic Adjustments
Adjusting orders dynamically based on fair value is crucial for success. As the fair value price fluctuates, traders should update their resting orders to maintain a profitable edge in the market.
Worth watching for
This video is for individuals interested in AI-driven trading strategies on platforms like Polymarket.