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Introduces the open-source Python tool InStock (myhhub/stock) for A-share quantitative analysis, supporting data scraping, technical indicators, stock selection, backtesting, automated trading, etc., and can be deployed via Docker.
Introducing AI Stock Master, an open-source platform for stock trend analysis based on large language models, integrating core algorithms such as RTSI and MSCI. It supports analysis of A-shares, Hong Kong stocks, and US stocks, aiming to help investors make data-driven rational decisions.
This paper introduces Multi-Adapter PPO, a reinforcement learning framework with cross-attention for wavelength selection in LIBS quantitative analysis, achieving 28.4% better composite scores and 45.2% improvement in prediction accuracy over traditional methods on steel and coal datasets.