All Projects → nageshsinghc4 → stock-market-forecasting

nageshsinghc4 / stock-market-forecasting

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Stock market forecasting using the ARIMA model.

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python
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stock-market-forecasting

The general research associated with the stock or share market is highly focusing on neither buy nor sell but it fails to address the dimensionality and expectancy of a new investor. The common trend towards the stock market among the society is that it is highly risky for investment or not suitable for trade so most of the people are not even interested. The seasonal variance and steady flow of any index will help both existing and naïve investors to understand and make a decision to invest in the stock/share market.

To solve these types of problems, the time series analysis will be the best tool for forecasting the trend or even future. The trend chart will provide adequate guidance for the investor.

The repository contains stock market forecasting using ARIMA model.

The dataset can be downloaded from here.

The data shows the stock price of Altaba Inc from 1996–04–12 till 2017–11–10. The goal is to train an ARIMA model with optimal parameters that will forecast the closing price of the stocks on the test data.

Results:

Predictions

Please check out theaidream.com to understand step by step approach.

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