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stock-market-analysis

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Stock-Market-Analysis

Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using histo…

  • Updated Jun 30, 2019
  • Python

📈 This repository hosts a Stock Market Simulation in Python, providing tools to mimic market behaviors, portfolio management, and trading strategies. It serves as an educational resource for learning about financial markets and algorithmic trading, offering a practical platform for testing theories and strategies in a risk-free environment.

  • Updated Mar 27, 2023
  • Python

StockStream is a web application developed using Streamlit, designed to provide users with real-time stock price data, stock price prediction, and stock price analysis. This repository contains the source code and related files for the StockStream web app. Explore the code and unleash the potential of StockStream for your financial analysis needs.

  • Updated Oct 25, 2024
  • Python

Stock Market Trend Prediction using sentiment analysis Leveraging machine learning and sentiment analysis, we accurately forecast stock market trends. Our project combines advanced algorithms like BERT and Naïve Bayes with sentiment analysis from Twitter and other sources. By analyzing sentiment and historical price data, we provide insights

  • Updated Jul 11, 2023
  • Jupyter Notebook

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