Stock Market Predictions : Python for Finance 10

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In previous videos we made a wonderful investment portfolio and now we will use regression analysis to make stock market predictions about the future performance of our portfolio. I’ll be using the ARIMA model for making stock market predictions in this video. It focuses on trying to fit the data as well as possible by examining differences between values instead of the values themselves. We then use these models to forecast or make stock market predictions by creating both a training model and then a testing model. We compare both models to real data and then make predictions. I will be using Python and Multiple Data Science libraries in this tutorial to perform investment analysis. We will be covering the following : ✳️ AutoRegressive Integrated Moving Average ✳️ SARIMA ✳️ Forecasting ✳️ Training Data ✳️ Testing Data ✳️ Plotting ✳️ Matplotlib ✳️ Pandas ✳️ Numpy ✳️ So much more Files Are Here : https://github.com/derekbanas/Python4Finance Stock Data is Here : https://1drv.ms/u/s!AjbW63mlCQM75ljTNHq_LsD1fpkY?e=flBn5u MY UDEMY COURSES ARE 87.5% OFF TIL OCTOBER 26TH ►► Python Data Science Series for $19.99 : https://bit.ly/Master_Python_14 Highest Rated & Largest Python Udemy Course + 50 Hrs + 200 Videos + Data Science ►► New C++ Programming Bootcamp Series for $19.99 : https://bit.ly/C_Course_14 Over 23 Hrs + 53 Videos + Quizzes + Graded Assignments + New Videos Every Month THIS IS NOT INVESTMENT ADVICE I'm not implying that investing this way will guarantee a

Published 2021-10-21 · Watch on YouTube ↗
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