Stock Market Analysis and Prediction using Machine Learning algorithms. Use it to predict only stock values for the very next dat.

This project uses Python and Streamlit to analyze and predict stock market trends. It includes data visualization, ETL processes, and machine learning-based predictions. The project integrates historical data, LSTM-based stock price forecasting, and features an interactive Power BI dashboard for enhanced data insights.

Alpaca Trade Bot Using Python

2nd Semester Assignment on Data Analytics / Pemrograman Analisa Data

Python 3 program to get prices of stocks in an Industry, for example using the command 'Tech' will get you prices of stocks in the Tech industry, Google, Apple etc. This is a project I've personally really been wanting to create and work on since I have gained a strong interest and passion in the Stock Market, This will be a work in progress and…

The Stock CAPM Analysis Web App is a powerful and interactive tool designed to facilitate the Capital Asset Pricing Model (CAPM) analysis for a selection of stocks. Whether you're an investor, financial analyst, or simply intrigued by the dynamics of the stock market, this web app empowers you to calculate and analyze stock returns and beta values.

stockmarket machine learning

Program scrapes most volatile stock tickers from Yahoo Finance and implements logic to perform trades using the Alpaca API.

A project that seeks to measure market efficiency

This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.

Stock Price & Recommendations with Streamlit and Python

Zerodha Brokerage Calculator using python

time series analysis on stock data using a neural network implemented with TensorFlow and NumPy

Get all stock ratings from marketsmojo

Rescaled Ranges by H.E. Hurst. Great for use in time series analysis for anything that ticks in markets. A simple interface into a package rife with possible uses. Already setup for massive scalability with Prefect and Dask.

A simple script using an LSTM (long short term memory) neural net that predicts the closing price of a stock.

Extract, transform, and load market data from various API's into a MySQL database.

Predicting Upward and downward trends in the stock prices using Stacked LSTM.

Streamlit webapp to screen Indian stocks from NSEbhavcopy data.

Python command-line program that leverages the user's Robinhood account to assist in choosing options to perform the wheel strategy. This is done by utilizing a delta-based risk assessment and listing qualifying weekly options in order of potential profit within price range.