TY - GEN
T1 - Implementation of Improved Machine Learning Technique in Stock Analysis and Market Prediction
AU - Mittal, Neetu
AU - Singh, Ranbir
AU - Sharma, Kapil
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - The several techniques that are used in stock analysis and market forecasts are nowadays based on machine learning (ML). They rely solely on previous market trends for a particular stock and mainly aim to predict the future pricing by analyzing a certain pre-specified patterns in the dataset. Although this approach provides better and accurate results, it sometimes fails to consider some of the other variables like political events, rumors, public sentiments, and some other psychological events that may eventually affect the market. In this paper, analysis and implementation are performed to predict stock and market analysis. It may use not only in-depth technical analysis but also basic research on a given stock. Variable inputs, which include political issues, ongoing events, etc., are included in the technique that determines the predicted value. This proposed work’s analysis can be used to develop a more accurate ML method that combines mathematical value input and emotion analysis to achieve perfect ally prediction in market trends.
AB - The several techniques that are used in stock analysis and market forecasts are nowadays based on machine learning (ML). They rely solely on previous market trends for a particular stock and mainly aim to predict the future pricing by analyzing a certain pre-specified patterns in the dataset. Although this approach provides better and accurate results, it sometimes fails to consider some of the other variables like political events, rumors, public sentiments, and some other psychological events that may eventually affect the market. In this paper, analysis and implementation are performed to predict stock and market analysis. It may use not only in-depth technical analysis but also basic research on a given stock. Variable inputs, which include political issues, ongoing events, etc., are included in the technique that determines the predicted value. This proposed work’s analysis can be used to develop a more accurate ML method that combines mathematical value input and emotion analysis to achieve perfect ally prediction in market trends.
KW - Deep learning
KW - Fundamental analysis
KW - Machine learning
KW - Sentiment analysis
KW - Stock prediction
KW - Technical analysis
UR - http://www.scopus.com/inward/record.url?scp=85168757356&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-1328-2_18
DO - 10.1007/978-981-99-1328-2_18
M3 - Conference contribution
AN - SCOPUS:85168757356
SN - 9789819913275
T3 - Lecture Notes in Mechanical Engineering
SP - 191
EP - 199
BT - Advances in Industrial and Production Engineering - Select Proceedings of FLAME 2022
A2 - Phanden, Rakesh Kumar
A2 - Kumar, Ravinder
A2 - Pandey, Pulak Mohan
A2 - Chakraborty, Ayon
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd Biennial International Conference on Future Learning Aspects of Mechanical Engineering, FLAME 2022
Y2 - 3 August 2022 through 5 August 2022
ER -