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#portfolio-optimization2 articles
2 articles
AIBullisharXiv โ€“ CS AI ยท 6d ago7/104
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A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization

Researchers developed WaveLSFormer, a wavelet-based Transformer model that directly generates market-neutral long/short trading portfolios from financial time series data. The AI system achieved a 60.7% cumulative return and 2.16 Sharpe ratio across six industry groups, significantly outperforming traditional ML models like LSTM and standard Transformers.

AIBullisharXiv โ€“ CS AI ยท Feb 276/107
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Toward Expert Investment Teams:A Multi-Agent LLM System with Fine-Grained Trading Tasks

Researchers developed a multi-agent LLM trading framework that decomposes investment analysis into fine-grained tasks rather than coarse-grained instructions. Testing on Japanese stock data showed the approach significantly improved risk-adjusted returns and achieved superior performance through portfolio optimization.