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Avaliam Trading Algorithm Study: Forecasting Sequential Stock Market Patterns

Avaliam Trading Algorithm Study: Forecasting Sequential Stock Market Patterns

We examine the performance of various Machine Learning models applied to financial market(s) time series data. Results showed LSTM approaches performed overall the best compared to the other ML algorithms. All evidence suggests an ensemble approach is required.

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Keywords..

#AI
#ML
#NLP
#Datascience
#ArtificialIntelligence
#MachineLearning
#AIPowered
#Automation
#Innovation
#DeepLearning
#aiforfinance
#investmentmanagement
#wealthmanagement
#quantitativeinvesting

First published on LinkedIn on Jan 6, 2021, 8:42 PM UTC (original). Kept here in full so it stays available.

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