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What is Adaptive Stop-Loss Mechanism for NIFTY 50 about?

This report presents a comparative analysis of adaptive stop-loss mechanisms using reinforcement learning agents and fixed-ratio trading rules for NIFTY 50 blue-chip stocks. It highlights the limitations of traditional trading systems and proposes a data-driven approach utilizing machine learning techniques like Random Forest and LSTM to enhance trading strategies. The study emphasizes the importance of dynamic risk management and feature engineering to improve predictive accuracy and capital protection in

Author

Yashas

Language

EN