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The code used for the article "Interactive Brokers Python API (Native) – A Step-by-step Guide" on the AlgoTrading101 Blog
Example trading strategies to get you started with Jesse
Build your own Etherscan with web3.p6
react native frontend for alpaca trading api
supertrend bot using python, pandas, and ccxt
a collection of open source server components and Python libraries for financial data projects and automated trading
TradingView Interactive Brokers Integration using Webhooks
Zipline, a Pythonic Algorithmic Trading Library
A framework for quantitative finance In python.
Some notebooks with powerful trading strategies.
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high freq…
A well-tuned algorithm to generate & draw support/resistance line on time series. 根据时间序列自动生成支撑线压力线
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
Stock Indicators for Python. Maintained by @LeeDongGeon1996
(no longer maintained) A simple yet robust (stock+options) API client for Robinhood
Docker image with IB Gateway and IBC
Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API
Master repository for the pandas-ml modules
Financial Derivatives Calculator with 171+ Models (Options Calculator)
🔮 Technical analysis math. Indicators, overlays and correlation.
quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Machine learning models for time series analysis
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto,…
Mathematical Finance Library: Algorithms and methodologies related to mathematical finance.
Technical Indicators implemented in Python using Pandas
Introducing neural networks to predict stock prices