J700070 / Stock-Analyzer-PythonLinks
Real time scrapping of stock data in order to get the most recent available information. Cleaning, structuring and parsing of relevant data to provide an interactive and informative dashboard. Dashboard features include: Price history (chart) Basic information (name, sector, industry, market cap...) Insider and institutional ownership informatio…
☆98Updated last year
Alternatives and similar repositories for Stock-Analyzer-Python
Users that are interested in Stock-Analyzer-Python are comparing it to the libraries listed below
Sorting:
- Collection of scripts and utilities for stock market analysis, strategies etc☆221Updated 7 months ago
- A collection of notebooks I used in my Medium articles.☆142Updated 3 years ago
- A dashboard for macroeconomic and stock market data built with Python and Dash.☆36Updated 2 years ago
- A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.☆92Updated 2 years ago
- Official Repository☆129Updated 3 years ago
- applications for risk management through computational portfolio construction methods☆44Updated 5 years ago
- Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the com…☆218Updated 2 years ago
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆79Updated 5 years ago
- Vanilla option pricing and visualisation using Black-Scholes model in pure Python☆134Updated 3 years ago
- Stock Scanner & Screener: A yfinance-based Stock Scanner and Screener, focusing on Fundamental Properties of scanned stocks.☆150Updated last year
- Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeli…☆163Updated last year
- Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentimen…☆254Updated last year
- This program analyzes unusual options activity by using a weighted average based on a trade's volume to compare all of the unusual otm op…☆67Updated 2 years ago
- Investment analysis based on the Graham and Buffett value investing methodology☆47Updated 3 years ago
- Python codes used in book 'Option Greeks Strategies & Backtesting in Python'☆150Updated 4 years ago
- Interactive dashboard to filter and analyse stock options contracts (Built using data from ThinkOrSwim's API and Plotly Dash components)☆85Updated 2 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆90Updated 5 years ago
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆72Updated last year
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆135Updated 4 years ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆44Updated 5 years ago
- ☆92Updated 6 months ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 years ago
- ☆174Updated last year
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆49Updated 5 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learning☆76Updated 5 years ago
- Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strat…☆68Updated this week
- Options Trader written in Python based off the ib_insync library.☆61Updated 2 years ago
- The Official Repository of Mastering Financial Pattern Recognition☆153Updated 2 years ago
- ☆76Updated last year
- A python application, that demonstrates optimizing a portfolio using machine learning.☆102Updated last year