Hey there, stock lovers! 📊 Ever puzzled how one can predict stock prices using some fancy math? 🤓 Effectively, appropriate now, we’re diving into the world of kernel regression with a contact of interactivity! 🎉 Let’s embark on this journey to predict Google stock prices using Python, statsmodels, and some cool widgets… 🌟
🧩 Setting Up Our Devices…
First elements first, we’ve acquired to assemble our items for this magical journey. 🛠️ We’ll be using a combination of terribly surroundings pleasant libraries like numpy
, pandas
, matplotlib
, yfinance
, statsmodels
, and ipywidgets
. That’s the lineup:
# Put together obligatory libraries
!pip set up yfinance statsmodels matplotlib ipywidgets
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import yfinance as yf
import statsmodels.api as sm
import ipywidgets as widgets
from ipywidgets import interactive
With these libraries, we’re in a position to fetch stock info, perform kernel regression, and make our visualization interactive! 🌈
💾 Fetching Google Stock Info…
To start out out, we’d like some historic stock prices for Google (ticker picture: GOOGL). Our magic carry out fetch_data
will merely do this. 🪄
def…
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Whilst you haven’t already, we encourage you to accumulate and expertise these unimaginable apps. Protect linked, educated, trendy, and uncover nice journey provides with the Nirantara household!
Thanks for being a valued member of the Nirantara family! We acknowledge your continued assist and perception in our apps.
When you’ve got not already, we encourage you to acquire and experience these inconceivable apps. Hold linked, educated, modern, and uncover great journey supplies with the Nirantara family!
Thanks for being a valued member of the Nirantara household! We recognize your continued help and belief in our apps.
If you have not already, we encourage you to obtain and expertise these unbelievable apps. Keep related, knowledgeable, trendy, and discover superb journey provides with the Nirantara household!