luuisotorres/Predicting-Apple-Stock-Prices-Using-PyCaret
Using PyCaret to Predict Apple Stock Prices
This project helps individual investors, financial analysts, and traders understand how machine learning can be used to forecast stock prices. It takes historical stock data, specifically for Apple, and applies various regression models to predict future closing prices. The output is a prediction of stock prices, helping users to gauge potential market direction without being swayed by emotion.
No commits in the last 6 months.
Use this if you are an individual investor, financial analyst, or trader interested in exploring how automated machine learning tools can be applied to predict stock market trends and make informed decisions.
Not ideal if you need a guaranteed method for precise daily trading decisions, as no model can perfectly predict complex market movements driven by unpredictable events.
Stars
8
Forks
—
Language
HTML
License
—
Category
Last pushed
Jun 15, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/luuisotorres/Predicting-Apple-Stock-Prices-Using-PyCaret"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
rafa-rod/pytrendseries
Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum...
TimRivoli/Stock-Price-Trade-Analyzer
This is a Python 3 project for analyzing stock prices and methods of stock trading. It uses...
LeonardoBerti00/TLOB
This is the official repository for the paper TLOB: A Novel Transformer Model with Dual...
JordiCorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for...
jcamiloangarita/stocker
Stock Price Prediction