Keywords-stock market; regression; machine learning; I. INTRODUCTION The stock market is known to be a complex adaptive system that is difficult to predict due to the large number of factors that determine the day to day price changes. We do this in machine learning through regression which tries to 34 Predicting Stock Prices. In this equation, the values H n and L n are the high and low prices in the previous n days. Generally, it is assumed that a value over 90 forecasts a price reduction while a result below 10 indicates a pric e increase. Probabilities. No mathematical system, however advanced, can predict the actual future. But sophisticated mathematics can calculate the probability of events. This works in the stock market by helping traders minimize the likelihood that something bad might happen before a certain date or other precursor. We offer forecasts on every popular Stock market that you might need and we are always open for further suggestions from our users. We feed our Machine Learning (AI based) forecast algorithm data from the most influential global exchanges. There are a number of existing AI-based platforms that try to predict the future of Stock markets.

9 Feb 2020 Some investors won't buy a stock or index that has risen too sharply, because they assume it's due for a correction, while other investors avoid a 

Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The successful  20 Jan 2014 The problem with applying mathematical equations or algorithms to markets is that markets are irrational, so when placing a rational, mathematical equation to an  9 Feb 2020 Some investors won't buy a stock or index that has risen too sharply, because they assume it's due for a correction, while other investors avoid a  consistently predict an exact future stock price, it is possible, Stock. = Equation 2.2.8. The Stock Turnover ratio indicates the stock turnover period in days.

When it comes to the stock market, gross domestic product (GDP) is the benchmark for global growth and contraction. Therefore, being able to predict movements in GDP is the key to predicting stock market moves.

17 Oct 2018 benevolent results in predicting stock prices. In this paper, we have equation representing a multiple linear regression is: Yi = B0 + B1Xi1 + 

It converts the graph to an equation form and substitutes values. Accuracy: 60-. 64%. Good for midrange predictions. 3. Artificial Neural Network using Multi- Layer 

13 Aug 2018 Greg Austin 8/12/18 ECE 3101 Introduction Predicting stocks with mathematical The equation of this line is displayed below the graph. 17 Nov 2014 Application on Stock Price Prediction. J Stock Forex Trad of discretilization of first order ordinary differential equation (ODE) could be solved  28 Apr 2015 Why is it so hard to predict? Why is the Stock Market so Difficult to Predict? Ideally, it would be based on some standardized formula. 19 May 2016 To improve the prediction accuracy of the trend of the stock market is evaluated using the following equation: (3) where Pi is the prediction 

13 Mar 2019 Excel FORECAST and other forecasting functions with formula examples data such as sales, budgets, cash flows, stock prices, and the like. The FORECAST function in Excel is used to predict a future value by using linear 

Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The successful 

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