Weekly quantitative investment research ideas applying the latest Machine Learning techniques. Your free source of quant investment ideas, directly from the best academic papers.
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Unveiling the Potential of AI in Stock Selection
Asset allocation strategy that first calculates optimal portfolio weights before utilizing them in a supervised learning algorithm
Apply clustering algorithms for market regime detection at the portfolio level
Applying Machine Learning predictions to optimize stock selection.
Novel Machine Learning Stock Sorting by Outperformance Probability
Discover the power of Explainable AI (XAI) in building robust investment strategies.
Swing trading that integrates STL decomposition and self-attention networks.
Learning-to-rank algorithms can significantly improve the risk-adjusted returns.
Conditional importance-weighted autoencoders modeling equity returns.
Predicting market regimes (crashes) with ML/DL
Deep Reinforcement Learning Application to Algorithmic Trading
Supervised Machine Learning Classification for Short Straddles on the S&P50
