Customizable AI trading team building solutions
ContestTrade's personalization of the intelligentsia's strategies through the belief configuration file (belief_list.json) is one of the most groundbreaking designs of the system.
Configuration Mechanisms in Depth
- Semanticization Strategy Definition: Describe the trading logic directly in natural language, e.g. 'Watch for three consecutive days of net inflows of northbound funds'
- Dynamic Intelligent Body Generation: automatically generates dedicated research intelligences for each belief and independently maintains a knowledge base
- Risk-return matchingSupports 10 levels of risk appetite settings from 'aggressive arbitrage' to 'prudent allocation'
Typical Configuration Examples
A private equity user configured the 'high transfer events + LWL institutional seats' combination strategy, the system correspondingly generated 3 intelligences to deal with announcement data, capital analysis and market sentiment respectively, and the final annualized return outperformed the benchmark index by 27%.
Expanding possibilities
This design enables the framework to have continuous evolution capability: users add new beliefs that extend the system capability boundary, and the community has contributed 120+ policy templates.
This answer comes from the articleContestTrade: an AI multi-intelligence trading framework for event-driven investingThe
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