Stock Market Forecasting Using Time Series Analysis - IT Assignment Help

Assignment Task

In this project we will focus on studying stock market fluctuations and forecast the data using Time Series analysis. Data Cleaning will be done by extract the trend, seasonality and random terms from the model, Visualizing Time Series Plot, decomposing the time series. Next, building the model and tuning, parameters evaluation will be done with the help of using various statistical methods such as Holt winter method, ARIMA method, VAR Method. Then, depending upon various matrices we will finalize the model. The datasets required for this study will be obtained from the concerned stock market. We will use R Language to do the analysis.

Milestones:

Week 1,2: Obtaining, understanding and cleaning of data

Week 2,3: Time series Analysis – will be working on the visualizing time series plot and time series decomposition.

Week 4,5: Understanding Holt winter model and implementing.

Week 6,7: Understanding ARIMA model and implementing.

Week 8,9: Understanding VAR model and implementing.

Week 10,11: Accuracy comparison and Finalizing the model.

Week 12: Preparing report and powerpoint presentation.

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