Python Finance
Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the company's sector.
A Python CLI tool to scan, detect, and plot stock chart patterns
Hidden Markov Models in Python, with scikit-learn like API
CryptoKon with its advanced analysis tools, provides a deep understanding of the trends and movements within specific crypto projects, empowering you to make informed investment decisions. Say hellβ¦
Live upstream is now at https://github.com/ib-api-reloaded/ib_async; sadly, the orignial creator Ewald has died and now we must continue without his years of experience creating and growing this prβ¦
Tools to work with Interactive Brokers using ib_insync
BackTest and Run CryptoCurrency Trading Strategies
Python sync/async framework for Interactive Brokers API (replaces ib_insync)
Simple to use interfaces for basic technical analysis of stocks.
Scrape ETF data for free - the unofficial python wrapper for ETFDB
π CRYPTO SUPER SCREENER π Forget TradingView. THIS is the BEST Screener for Crypto (ALL exchanges supported by CCXT). FILTERING and GRID WATCHING ANY amount of crypto CHARTS simultaneously!
interactive brokers ibkr api command line interface cli giving you the fastest way to lose all your money
A simple script that takes all the ETFs listed on the JustETF website and parses thaem in an easy to navigate format
ETF Scraper: This script saves you time when searching for Exchange Traded Funds (5000+ ETFs). No need to spend hours browsing providers' websites or wondering if aggregators' lists are up to date.
A lot (HUGE AMOUNT) of freqtrade strategies pulled from github and other sources.
IBind is a REST and WebSocket client library for Interactive Brokers Client Portal Web API.
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs π π π
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
All of the code from my video "AlgoTrading For Beginners - Full Course in Python"
All of the code from my video "Vectorbt for beginners - Full Python Course"
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
Meta labeling is a method of determining the size of the bet.
Optimization of trading strategy hyperparameters with combinatorial cross validation and stress tesing