Trading strategies and financial data analysis tools - for use with Quantopian

A trading algorithm that identifies stocks with the largest potential for growth while heavily considering its volatility using quantopian

Algorithmic trading

Research Notebooks for Algorithmic Trading

Python candlestick chart implementation implementation.

Quantopian notebook

Universidad Nacional de Colombia - Métodos Numéricos ~ Grupo 1 2021-I

Ditching R for Python (in Algorithmic Trading)

Project 1 of the 2020 Northwestern Financial Technology Bootcamp. We built a functional quantitative trading system that implements strategies researched and tested in Quantopian. Those strategies are then executed in Alpaca- the commission-free stock trading API.

Automated trading system using Interactive Brokers API to place event-driven positions

Using Pandas dataframes and Quantopian research platform, this notebook analyzes equity price performance after sharp price spike/drop.

My personal Poloniex altcoin trader

Learned Sectors Project Research Report (FE 800 - Special Research Problems in Financial Engineering) at the Stevens Institute of Technology

Strategies and basic research for the stock market

Portfolio Optimization Modules

Using data science for Financial Engineering.

💸 A long-short equity quantitative trading strategy (sentiment-based)

理杏仁开发平台python api(非官方)