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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 stock market using machine learning: best and accurate way to know future stock prices
D Sheth, M Shah - International Journal of System Assurance Engineering …, 2023 - Springer
Dissatisfaction is the first step of progress, this statement serves to be the base of using
Artifcial Intelligence in predicting stock prices. A great deal of people dreamed of predicting …
Artifcial Intelligence in predicting stock prices. A great deal of people dreamed of predicting …
A survey on machine learning models for financial time series forecasting
Financial time series (FTS) are nonlinear, dynamic and chaotic. The search for models to
facilitate FTS forecasting has been highly pursued for decades. Despite major related …
facilitate FTS forecasting has been highly pursued for decades. Despite major related …
Stock closing price prediction based on sentiment analysis and LSTM
Z **, Y Yang, Y Liu - Neural Computing and Applications, 2020 - Springer
Stock market prediction has been identified as a very important practical problem in the
economic field. However, the timely prediction of the market is generally regarded as one of …
economic field. However, the timely prediction of the market is generally regarded as one of …
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
W Bao, J Yue, Y Rao - PloS one, 2017 - journals.plos.org
The application of deep learning approaches to finance has received a great deal of
attention from both investors and researchers. This study presents a novel deep learning …
attention from both investors and researchers. This study presents a novel deep learning …
Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms
Security indices are the main tools for evaluation of the status of financial markets. Moreover,
a main part of the economy of any country is constituted of investment in stock markets …
a main part of the economy of any country is constituted of investment in stock markets …
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 …
Machine learning stock market prediction studies: review and research directions
TJ Strader, JJ Rozycki, TH Root… - Journal of …, 2020 - scholarworks.lib.csusb.edu
Stock market investment strategies are complex and rely on an evaluation of vast amounts of
data. In recent years, machine learning techniques have increasingly been examined to …
data. In recent years, machine learning techniques have increasingly been examined to …
Portfolio rebalancing based on a combined method of ensemble machine learning and genetic algorithm
Purpose This paper presents a combined method of ensemble learning and genetics to
rebalance the corporate portfolio. The primary purpose of this paper is to determine the …
rebalance the corporate portfolio. The primary purpose of this paper is to determine the …
A survey on stock market prediction using machine learning techniques
Abstract Prediction of the Stock Market is a challenging task in predicting the stock prices in
the future. Due to the fluctuating nature of the stock, the stock market is too difficult to predict …
the future. Due to the fluctuating nature of the stock, the stock market is too difficult to predict …