Stock Market Forecasting Techniques: A Survey

Saarika Sharma · Meenal Chouhan · Gian Jyoti

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Forecasting Techniques and Applications

Abstract

Day trading in stocks is risky, more so if you are untrained. However, if you have an eye for spotting market trends, you can make a neat pile in quick intra-day deals. There was a time not long ago when trading was a simple game of buying and selling stocks based on one's conviction. Now, technical analysis- a science of predicting future prices from historical price data-has given investors new tools. In this paper, we will review common machine learning algorithms that are helpful in prediction of stock market analysis.

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1988Economic prediction using neural networks: the case of IBM daily stock returns 2009A neural network-based fuzzy time series model to improve forecasting 2010Financial Stock Market Forecast using Data Mining Techniques 2010APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR STOCK MARKET PREDICTIONS: A REVIEW OF LITERATURE

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2013A Calibration Procedure for Analyzing Stock Price Dynamics in an Agent-Based Framework 2020A Survey on Stock Market Prediction Using Machine Learning Techniques 2021Stock prediction and mutual fund portfolio management using curve fitting techniques

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