There are 15 repositories under stock-market-analysis topic.
Collection of scripts and utilities for stock market analysis, strategies etc
Tools for 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 historical stock prices and fundamental analysis using social media dat
😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉
Stock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)
A .NET API wrapper for Yahoo Finance that allows users to get top trending stocks, historical stock data, stock splits, dividends, capital gains, and much much more!
An environment of open source services used for market analysis
Python library to Fetch & Analyze Stock Market data.
Main idea is to get an comprehensive idea about a certain stock with prediction values for next few days; sentiment analysis on the news related to stocks and many more visualizations with built in comparison feature which support a powerful search engine.
Performing the Financial Analysis on Historic Stock Market Data such as calculating various risks, returns,etc.
Stock Market Decision Support System using Deep Learning & Sentiment Analysis
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.
Stock Market modeled as a Multi-Agent System
StocksALot is a cutting edge PoC for Stock Market Analysis employing OpenAI's GPT LLMs for insight inference.
Using machine learning to predict stock market trends.
📈 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.
Yet another (fully open source) stock market charting application; C++ on Linux using Alpha Vantage market data back-end.
Chinese hushen stock market analysis project
Higher Highs is a script for ThinkorSwim:registered:. This script can be used in your In the News or Watchlist. It will indicate if the stocks in those lists are producing higher highs.
Stock Market Prediction using Machine Learning done as a final year university project. It uses LSSVR to train the model and is programmed in R
Splunk app with custom 'quote' command that fetches stock market data from Finnhub API
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.
Data Manipulation project with Python to scrape Facebook and Tesla news headlines, in conjunction with sentiment analysis using NLTK and VADER to generate investment insight.
plutus-eye-ui, Is a Stock Market WEB UI that aims to automate analysis of the stock market price RESISTANCE, SUPPORT and VOLUME increase/decrease based on available historical data.
Stock Market Analysis (5th Inter-IIT Tech Meet), IIT Mandi
The objective of this assignment is to determine which stocks can be bought/sold/held based on the moving averages calculated for a period of 20 days [short term] to 50 days [long term].
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
The project involves analyzing the MASI index, representing the Moroccan stock market, to predict its future performance. The main objective is to develop a robust predictive model while identifying key factors influencing returns.
Analyst Screener for S&P500 Stocks
Front end Vue.js web app to pair with stock-tracer-be. Using Vuex and Vue Routing. Will visualize Robinhood stock portfolio as well as losses/gains as well as interactive charts for additional insight.
Market Analysis and Prediction
In my stock market analysis project, I employed a powerful combination of Python libraries, including Pandas, Yfinance, and Plotly, to gather, analyze, and visualize financial data.