Adaptive hybrid optimized lstm models: a novel computational framework for algorithmic financial trading system

HIGHLIGHTS

  • What: This research proposes an online self-adaptive trading algorithm that can be applied to financial markets such as stock market currency markets cryptocurrency markets futures markets etc.
  • Who: SOONG CHINGTSING from the Carnegie Mellon University, USA have published the article: Adaptive Hybrid Optimized LSTM Models: A Novel Computational Framework for Algorithmic Financial Trading System, in the Journal: (JOURNAL)

SUMMARY

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LAY DEFINITIONS

  • Algorithmic Trading: Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume . . .

     

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