faizancodes / Automated-Fundamental-Analysis
Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the company's sector.
☆203Updated last year
Alternatives and similar repositories for Automated-Fundamental-Analysis:
Users that are interested in Automated-Fundamental-Analysis are comparing it to the libraries listed below
- A tool that allows you to visually compare the fundamentals of over 6,000 companies.☆334Updated 2 years ago
- Option and stock backtester / live trader☆249Updated 3 months ago
- Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, …☆291Updated last week
- This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…☆367Updated 11 months ago
- Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.☆557Updated this week
- Volatility trading using Long and Short Straddle options strategies on Interactive Broker using Yahoo Finance and TWS API☆216Updated last month
- Open sourced research notebooks by the QuantConnect team.☆572Updated 10 months ago
- Python codes used in book 'Option Greeks Strategies & Backtesting in Python'☆128Updated 4 years ago
- Sources codes for: Mastering Python for Finance, Second Edition☆416Updated 3 months ago
- Option pricing based on Black-Scholes processes, Monte-Carlo simulations with Geometric Brownian Motion, historical volatility, implied v…☆297Updated 3 weeks ago
- Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integr…☆574Updated last week
- Quantitative Finance tools☆515Updated last year
- A Python library for evaluating option trading strategies.☆358Updated last month
- Finviz analysis python library.☆591Updated 5 months ago
- Backtest and live trading in Python☆574Updated 9 months ago
- ☆490Updated last year
- algorithmic trading using machine learning☆144Updated last month
- ☆210Updated 7 years ago
- Feature Engineering and Feature Importance in Machine Learning for Financial Markets☆179Updated last year
- We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.☆260Updated 2 years ago
- Python Options Pricing Library☆275Updated 3 years ago
- Automatically identifies support and resistance lines on a stock chart using reversal points, displays candlestick chart.☆292Updated last year
- Teaches step-by-step to analysis stock data in python.☆375Updated last year
- Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price acti…☆319Updated last month
- PyTrendFollow - systematic futures trading using trend following☆393Updated 6 years ago
- Repository of demo strategies for the Blueshift platform☆168Updated 2 years ago
- Option Calculator using Black-Scholes model and Binomial model☆169Updated 5 years ago
- Vanilla option pricing and visualisation using Black-Scholes model in pure Python☆124Updated 2 years ago
- A python package to calculate trends in stocks, derivates(Futures & Options) using Renko, PnF, LineBreak etc☆250Updated 11 months ago
- A collection of notebooks I used in my Medium articles.☆139Updated 2 years ago