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Idée - Stock market analysis
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
DoubleAdapt is an end-to-end framework that adapts both the data and the model to cope with distribution shifts in the online environment for stock trend forecasting.
Uncovering the Geometry of the Indian Stock Market through Scale-free Network Analysis
The core message of this article is that the hyperbolic geometry of complex networks provides a more accurate representation of the Indian stock market compared to Euclidean embeddings, enabling improved detection of market stability/volatility, early identification of market changes, and natural clustering of market sectors.
Generating Market Comments from Stock Price Sequences: A Comparative Study of Prompting Strategies
Effective prompting strategies can significantly improve the performance of large language models in generating market commentary from time-series stock price data.
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