A comprehensive review of machine learning for financial market prediction methods

RM Dhokane, OP Sharma - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Financial market prediction is an important task for placing an investor's hard-earned money
in the financial market to earn profit. Many parameters affect the financial market's valuation …

[PDF][PDF] ENHANCING STOCK PRICE PREDICTION: A COMPREHENSIVE ANALYSIS UTILIZING MACHINE LEARNING AND DEEP LEARNING APPROACHES

P Ranjan, S Dahiya, SK Singh, SK Choudhary - 2023 - researchgate.net
An important tool for assisting businesses and investors in making wise market decisions is
stock price forecasting. Frequently, forecasting models are needed as they help investors to …

[HTML][HTML] Exploring the Gaussian investor sentiment process

SS Coşkun - Borsa Istanbul Review, 2023 - Elsevier
Football (soccer) stocks are substantially subject to investor sentiment stemming from
football fields. Evaluating sentiment functions help us understand how investors interpret …

[PDF][PDF] Stock market prediction using machine learning techniques

S Agrawal, D Thakkar, D Soni, K Bhimani… - International Journal of …, 2019 - academia.edu
ABSTRACT Prediction of Stock Market has been an area of interest for investors as well as
researchers from a long time due to its intrinsic volatility, complex and regularly changing in …

[PDF][PDF] XgBoost Hyper-Parameter Tuning Using Particle Swarm Optimization for Stock Price Forecasting

D Pebrianti, H Kurniawan, L Bayuaji… - Jurnal Ilmiah Teknik …, 2023 - eprints.uad.ac.id
Investment in the capital market has become a lifestyle for millennials in Indonesia as seen
from the increasing number of SID (Single Investor Identification) from 2.4 million in 2019 to …

Prediction of Telecommunication Company Stock Price using Multiple Linear Regression

Z Abidin, A Pambudi, DA Tyas… - … on Smart Cities …, 2023 - ieeexplore.ieee.org
This study presents case studies in finance, mainly stock trading. The paperwork from a
portfolio data mining effort and data obtained directly from the Indonesian Stock Exchange …

Demand forecasting and route optimization in supply chain industry using data Analytics

BA Mohan, B Harshavardhan, S Karan… - … Asian Conference on …, 2021 - ieeexplore.ieee.org
Logistics industry is one of key pillars of the global economy, which involves interdisciplinary
domains. Manufacturing companies need to devise strategies in order to deliver best-quality …

Enhancement of The Performance of Machine Learning Algorithms to Rival Deep Learning Algorithms in Predicting Stock Prices.

RM Al-Amri, AA Hadi, MS Kadhim… - Babylonian …, 2024 - journals.mesopotamian.press
This paper objectives to improve stock market prediction accuracy by training data on
sentiment analysis of tweets, overcoming volatility and complexity. Utilizing the Use of …

Enhancing Intraday Trading through Machine Learning: A NSE Nifty 50 Analysis

A Poptani - 2024 5th International Conference on Innovative …, 2024 - ieeexplore.ieee.org
This paper explores the intersection of machine learning (ML), intraday trading, and the
economic landscape of India, focusing on the National Stock Exchange (NSE) Nifty 50 …

Stock Market Forecasting Using LSTM

J Aswini, S Dinesh… - 2024 2nd World …, 2024 - ieeexplore.ieee.org
In this research paper, a novel methodology for forecasting stock market trends is presented:
the utilization of Long Short-Term Memory networks, which are a part of RNN network. This …