https://github.com/rdrahul123/the-stock

The 'The-Stock' project is a Python-based application designed to provide comprehensive tools for stock market analysis and portfolio management. The system empowers users with intuitive visualizations, technical analysis, and data-driven insights, making it an essential tool for investors and analysts seeking to make informed decisions.
https://github.com/rdrahul123/the-stock

jupyter-notebook linear-regression machine-learning python random-forest yolo

Last synced: 11 days ago
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The 'The-Stock' project is a Python-based application designed to provide comprehensive tools for stock market analysis and portfolio management. The system empowers users with intuitive visualizations, technical analysis, and data-driven insights, making it an essential tool for investors and analysts seeking to make informed decisions.

• Host: GitHub
• URL: https://github.com/rdrahul123/the-stock
• Owner: RDrahul123
• Created: 2021-08-26T11:09:33.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-11-25T14:58:08.000Z (about 2 months ago)
• Last Synced: 2024-11-25T15:41:02.563Z (about 2 months ago)
• Topics: jupyter-notebook, linear-regression, machine-learning, python, random-forest, yolo
• Language: Jupyter Notebook
• Homepage:
• Size: 245 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# The-Stock

Stock and Cryptocurrency market Analysis and Prediction

Can we actually predict stock prices with machine learning? Investors make educated guesses by analyzing data. They'll read the news, study the company history, industry trends and other lots of data points that go into making a prediction. The prevailing theories is that stock prices are totally random and unpredictable but that raises the question why top firms like Morgan Stanley and Citigroup hire quantitative analysts to build predictive models. We have this idea of a trading floor being filled with adrenaline infuse men with loose ties running around yelling something into a phone but these days they're more likely to see rows of machine learning experts quietly sitting in front of computer screens. In fact about 70% of all orders on Wall Street are now placed by software, we're now living in the age of the algorithm.

The prior graph of stock is





Stock predictor is