Forecasting Stock Market with ARIMA Model & Time Series

Learn how to forecast stock market trends with ARIMA (Autoregressive Integrated Moving Average) model & Time Series
4.24 (23 reviews)
Udemy
platform
English
language
Financial Modeling & Ana
category
instructor
Forecasting Stock Market with ARIMA Model & Time Series
3 066
students
3 hours
content
Aug 2023
last update
$13.99
regular price

What you will learn

Learn basic fundamentals of stock market forecasting, such as getting to know factors that affect the forecasting accuracy and several forecasting models

Learn several internal and external factors that can potentially impact stock market

Learn how to apply ARIMA (Autoregressive Integrated Moving Average) model into simple dataset and do the basic forecasting

Finding correlation between volume & price changes

Calculating 100 days moving average

Learn how to analyze autocorrelation function & partial autocorrelation function

Learn how to perform forecasting using ARIMA model

Learn how to perform residual analysis

Learn how to do forecasting model evaluation by calculating MAE (Mean Absolute Error), MSE (Mean Squared Error), and RMSE (Root Mean Squared Error)

Learn how to clean the dataset by removing missing values and duplicate values

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Forecasting Stock Market with ARIMA Model & Time Series – Screenshot 1
Screenshot 1Forecasting Stock Market with ARIMA Model & Time Series
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Screenshot 2Forecasting Stock Market with ARIMA Model & Time Series
Forecasting Stock Market with ARIMA Model & Time Series – Screenshot 3
Screenshot 3Forecasting Stock Market with ARIMA Model & Time Series
Forecasting Stock Market with ARIMA Model & Time Series – Screenshot 4
Screenshot 4Forecasting Stock Market with ARIMA Model & Time Series

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5524980
udemy ID
27/08/2023
course created date
31/08/2023
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