A Feature Ensemble Framework for Stock Market Forecasting Using Technical Analysis and Aquila Optimizer

A Feature Ensemble Framework for Stock Market Forecasting Using Technical Analysis and Aquila Optimizer

Stock market prediction relies heavily on combining different features due to the complex factors affecting stock prices and varying datasets. This study introduces a new method for feature fusion that improves predictions for traders and investors. We focus on three key types of technical analysis:...

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Bibliographic Details
Main Authors: Asit Kumar Das, Debahuti Mishra, Kaberi Das, Kailash Chandra Mishra
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Aquila optimizer
feature fusion
momentum indicators
stock market analysis
trend indicators
volatility indicators
Online Access:https://ieeexplore.ieee.org/document/10681074/
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https://ieeexplore.ieee.org/document/10681074/

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