aastha-ghub / Time-Series_-Stock-price

Forecasting the stock price

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Time-Series-Stock-price

Forecasting the stock price

We are using historical data of SBI share price between 2015 to 2020 and apply a simple model to forecast for 2021

Import packages

Load data

Data preparation

3.1 - Dimensions of Dataset

3.2 - Statistical Summary

3.3 - Converting Date

3.4 - Checking Data Type and Missing Values

3.5 - Indexing with Date

Time Series Analysis

4.1 - Visualizing data

4.2 - Sampling

4.3 - Checking Stationarity

4.3.2 - ADF Test

4.3.2 - KPSS Test

4.4 - Decomposing

Time Series Forcasting using ARIMA

5.1 - Parameter Selection

5.2 - Fitting the ARIMA model

5.3 - Validating Forecasts

5.4 - Calculating MSE and RMSE

5.5 - Visualizing the Forecast

5.6 - Comparing the predictions

Conclusion

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Forecasting the stock price


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Language:Jupyter Notebook 97.0%Language:Python 3.0%