A systematic review of fundamental and technical analysis of stock market predictions
The stock market is a key pivot in every growing and thriving economy, and every investment
in the market is aimed at maximising profit and minimising associated risk. As a result …
in the market is aimed at maximising profit and minimising associated risk. As a result …
Predicting the direction of stock market prices using tree-based classifiers
Predicting returns in the stock market is usually posed as a forecasting problem where
prices are predicted. Intrinsic volatility in the stock market across the globe makes the task of …
prices are predicted. Intrinsic volatility in the stock market across the globe makes the task of …
[PDF][PDF] Predicting stock market behavior using data mining technique and news sentiment analysis
AE Khedr, N Yaseen - International Journal of Intelligent Systems …, 2017 - mecs-press.org
Stock market prediction has become an attractive investigation topic due to its important role
in economy and beneficial offers. There is an imminent need to uncover the stock market …
in economy and beneficial offers. There is an imminent need to uncover the stock market …
Pattern graph tracking-based stock price prediction using big data
Stock price forecasting is the most difficult field owing to irregularities. However, because
stock prices sometimes show similar patterns and are determined by a variety of factors, we …
stock prices sometimes show similar patterns and are determined by a variety of factors, we …
Using social media mining technology to improve stock price forecast accuracy
JY Huang, JH Liu - Journal of Forecasting, 2020 - Wiley Online Library
Many stock investors make investment decisions based on stock‐price‐related chip
indicators. However, in addition to quantified data, financial news often has a nonnegligible …
indicators. However, in addition to quantified data, financial news often has a nonnegligible …
Clarin-emo: Training emotion recognition models using human annotation and chatgpt
In this paper, we investigate whether it is possible to automatically annotate texts with
ChatGPT or generate both artificial texts and annotations for them. We prepared three …
ChatGPT or generate both artificial texts and annotations for them. We prepared three …
Efficacy of news sentiment for stock market prediction
S Kalra, JS Prasad - … on Machine Learning, Big Data, Cloud …, 2019 - ieeexplore.ieee.org
Stock Market trend prediction will always remain a challenging task due to stochastic nature.
The enormous amount of data generated by the news, blogs, reviews, financial reports and …
The enormous amount of data generated by the news, blogs, reviews, financial reports and …
[PDF][PDF] Stock market classification model using sentiment analysis on twitter based on hybrid naive bayes classifiers.
Sentiment analysis has become one of the most popular process to predict stock market
behaviour based on consumer reactions. Concurrently, the availability of data from Twitter …
behaviour based on consumer reactions. Concurrently, the availability of data from Twitter …
A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis
Stock market prediction is extremely important for investors because knowing the future
trend of stock prices will reduce the risk of investing capital for profit. Therefore, seeking an …
trend of stock prices will reduce the risk of investing capital for profit. Therefore, seeking an …
The association between stock price volatility and financial news–a sentiment analysis approach
JL Seng, HF Yang - Kybernetes, 2017 - emerald.com
Purpose The purpose of this study is to develop the dictionary with grammar and multiword
structure has to be used in conjunction with sentiment analysis to investigate the relationship …
structure has to be used in conjunction with sentiment analysis to investigate the relationship …