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We have created a stock market analysis app in which we took top companies stocks such as amazon, tesla, apple, microsoft and compared their past stock market exchanges with each other.Installed yfinance which updates us with the current status of stocks.Used regression and classification algorithms to predict the future of these companies.

Home Page: https://app.daisi.io/daisies/farhun/Stock%20Market%20Analysis%20Using%20Machine%20Learning/app

Python 100.00%
cryptocurrency machine-learning stock-market-prediction stock-price-prediction

stock-performance-comparison's Introduction

Stock-performance-comparison

Python for Stock Trading and Investment

List of different types of analyzing stocks and trading strategies

Stock analysis is a method for investors to use (short or long term) and to make buying and selling decisions. By studying and evaluating the past and current historical data, fundamental data or news, investors and traders attempt to gain an winning edge in the markets by making the best decisions. ๐Ÿ“ˆ ๐Ÿ“‰

Trading strategies is a method for investors and traders to develop a strategies that works for them to gain profits. On the other hand, traders need to find the right method or strategies that works for them. ๐Ÿ“Š

Download Software

https://www.python.org/

Programming Language:

python

Tools:

Streamlit colab Notepad++

API CALLS:-

You can call daisi functions in the following environments:

  • Python
  • R
  • cURL

Python

See the docs for pyDaisi installation and authentication.

import pydaisi as pyd

stock_market_analysis_using_machine_learning = pyd.Daisi("farhun/Stock Market Analysis Using Machine Learning")

Undocumented endpoints

Consider adding docstrings for these functions in your code.

add_bg_from_url

stock_market_analysis_using_machine_learning.add_bg_from_url().value

R

add_bg_from_url

stock_market_analysis_using_machine_learning$add_bg_from_url()$value()

Author

Mohamed Farhun M

๐Ÿ”ด Warning: This is not financial advisor. Do not use this to invest or trade. It is for educational purpose.

stock-performance-comparison's People

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