Top AI Models for Stock, ETF, and Crypto Trading
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BENCHMARKS
Top AI Models for Stock, ETF and Crypto Trading according to New Benchmark
A group of academic researchers, led by Stevens Institute of Technology in collaboration with Columbia University, Harvard University, and The Fin AI, released a new paper to evaluate different AI models for stock, crypto, and ETF trading.
The framework, called InvestorBench, tested 13 different large language models on their ability to trade financial assets.
The system tests each AI model's performance across different time periods: stocks from mid-2020 to mid-2021, cryptocurrencies throughout most of 2023, and ETFs from mid-2019 to late 2020.
The researchers built what they call a "memory system" based on an earlier framework called FINMEM to help AI make trading decisions, incorporating both memory storage and reflection mechanisms that help explain trading decisions. During an initial training period, the system fed each AI model market data an…
