ipython notebooks from quantopian lectures series
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Updated
Jul 30, 2015
ipython notebooks from quantopian lectures series
finance
💸 A long-short equity quantitative trading strategy (sentiment-based)
Portfolio Optimization Modules
Assisting repository for the published paper investigating ensemble methods in algorithmic trading.
Using Pandas dataframes and Quantopian research platform, this notebook analyzes equity price performance after sharp price spike/drop.
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
Learned Sectors Project Research Report (FE 800 - Special Research Problems in Financial Engineering) at the Stevens Institute of Technology
Python candlestick chart implementation implementation.
Trading strategies and financial data analysis tools - for use with Quantopian
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.
A trading algorithm that identifies stocks with the largest potential for growth while heavily considering its volatility using quantopian
A trading bot utilized on the TD Ameritrade platform written in python and utilizing tda-api API.
Automated trading system using Interactive Brokers API to place event-driven positions
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