davidcgong/Verena

Strategies and basic research for the stock market

Language: Python - Size: 418 KB - Last synced at: 24 days ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 2

ShekiLyu/lixinger-openapi

理杏仁开发平台python api(非官方)

Language: Python - Size: 241 KB - Last synced at: 27 days ago - Pushed at: almost 5 years ago - Stars: 56 - Forks: 12

KhaledSharif/quantopian-ensemble-methods

Assisting repository for the published paper investigating ensemble methods in algorithmic trading.

Language: Python - Size: 8.79 KB - Last synced at: 23 days ago - Pushed at: about 7 years ago - Stars: 43 - Forks: 14

ssanderson/convex-optimization-for-finance

Talk Materials for "Convex Optimization for Finance"

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 28 - Forks: 23

jonschoning/quantopian-notebooks

ipython notebooks from quantopian lectures series

Size: 2.73 MB - Last synced at: about 2 months ago - Pushed at: almost 10 years ago - Stars: 21 - Forks: 26

brookswoolf/Trading-Algorithms

This repository contains the customized trading algorithms that I have created using the Quantopian IDE.

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 108 - Forks: 33

vsmolyakov/fin

finance

Language: Python - Size: 2 MB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 41 - Forks: 20

calenfretts/trading-bots-quantconnect

Language: Python - Size: 5.86 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

gdepalma93/quantitative_trading_system

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.

Language: Jupyter Notebook - Size: 6.29 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

johnhou13579/Dual-Momentum-Trading-Bot

A trading bot utilized on the TD Ameritrade platform written in python and utilizing tda-api API.

Language: Python - Size: 5.76 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 40 - Forks: 12

cgalceran/SimpleMovingAverageTradingAlgo

Algorithmic trading

Language: Python - Size: 1.15 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

jsisaacs/QuantStrategies

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

Language: Python - Size: 15.4 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 29 - Forks: 10

alpacahq/alpaca-zipline

Alpaca riding on a zipline

Language: Python - Size: 6.84 KB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 28 - Forks: 22

johnluo92/tradesystem

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

Language: Java - Size: 2.02 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

rukmal/MS-Thesis-Learned-Sectors-Report

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

Language: TeX - Size: 18.3 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 2

sagarrathi/Quant

Using data science for Financial Engineering.

Language: Jupyter Notebook - Size: 7.28 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 3

crvargasm/MetNumUN2021I

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

Language: Jupyter Notebook - Size: 4.5 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

smandekar1/Quantopian-Research

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

Language: Jupyter Notebook - Size: 554 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

MengyaoHuang/Quantopian

Quantopian notebook

Language: Jupyter Notebook - Size: 674 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

kvathupo/qfs-optimization

Portfolio Optimization Modules

Language: HTML - Size: 773 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 2

ClaytonJY/pydata-20171010

Ditching R for Python (in Algorithmic Trading)

Language: R - Size: 10.7 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1