Application Of Neural Network To Technical Analysis Of Stock Market Prediction

Hirotaka Mizuno · Michitaka Kosaka · Norihisa Komoda

117 citations0/0 files stored

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Stock Market Forecasting Methods Neural Networks and Applications Forecasting Techniques and Applications

Abstract

This paper presents a neural network model for technical analysis of stock market, and its application to a buying and selling timing prediction system for stock index. When the numbers of learning samples are uneven among categories, the neural network with normal learning has the problem that it tries to improve only the prediction accuracy of most dominant category. In this paper, a learning method is proposed for improving prediction accuracy of other categories, controlling the numbers of learning samples by using information about the importance of each category. Experimental simulation using actual price data is carried out to demonstrate the usefulness of the method.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 117 citations exist upstream.

References

1990Stock market prediction system with modular neural networks 1990Stock price pattern recognition-a recurrent neural network approach

Cited by

2008Surveying stock market forecasting techniques – Part II: Soft computing methods 2020Stock Closing Price Prediction using Machine Learning Techniques 2018NSE Stock Market Prediction Using Deep-Learning Models 2019Technical analysis and sentiment embeddings for market trend prediction 2011Price Prediction of Share Market Using Artificial Neural Network 'ANN'2021Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda 2018Deep Learning for Stock Market Prediction Using Event Embedding and Technical Indicators 2009A hybrid stock trading system for intelligent technical analysis-based equivolume charting

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.