Collection of scripts and utilities for stock market analysis, strategies etc
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Updated
Jul 7, 2024 - Python
Collection of scripts and utilities for stock market analysis, strategies etc
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…
😲🤑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)
Stock Market Decision Support System using Deep Learning & Sentiment Analysis
Tools for stock market analysis.
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!
Python library to Fetch & Analyze Stock Market data.
Performing the Financial Analysis on Historic Stock Market Data such as calculating various risks, returns,etc.
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.
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.
📈 Python package for trend detection on stock time series data 📉
📈 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.
Using machine learning to predict stock market trends.
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.
Splunk app with custom 'quote' command that fetches stock market data from Finnhub API
An environment of open source services used for market analysis
Application for preprocessing, analysis and anomaly detection of US stock market data on multiple clusters using Apache Spark
Stock market historical price auto correlation calculation and display as color-map. Uses pure Javascript, CSS and Convex 2D
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