This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
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Updated
May 8, 2019 - Jupyter Notebook
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
ipython notebooks from quantopian lectures series
Alpaca riding on a zipline
Talk Materials for "Convex Optimization for Finance"
finance
A trading bot utilized on the TD Ameritrade platform written in python and utilizing tda-api API.
Assisting repository for the published paper investigating ensemble methods in algorithmic trading.
💸 A long-short equity quantitative trading strategy (sentiment-based)
Using data science for Financial Engineering.
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
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.
Trading strategies and financial data analysis tools - for use with Quantopian
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