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The Algo Engineer

Talk at QuantCon Singapore. 19 Oct 2016 • 1 min. read • Comments. Downloading S&P 500 tickers and data using Python. 02 Oct 2014 • 4 min. read • Comments. Finding and dowloading a list of current S&P 500 companies and their respective price data can be tedious at best. Luckily for you, today I’m going to share with you a Python script that I use to construct a database of daily bar data for the current S&P 500 companies. [ read more. Online Linear Regression using a Kalman Filter. Mdash; Theme by PixelCog.

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Talk at QuantCon Singapore. 19 Oct 2016 • 1 min. read • Comments. Downloading S&P 500 tickers and data using Python. 02 Oct 2014 • 4 min. read • Comments. Finding and dowloading a list of current S&P 500 companies and their respective price data can be tedious at best. Luckily for you, today I’m going to share with you a Python script that I use to construct a database of daily bar data for the current S&P 500 companies. [ read more. Online Linear Regression using a Kalman Filter. Mdash; Theme by PixelCog.
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The Algo Engineer | thealgoengineer.com Reviews

https://thealgoengineer.com

Talk at QuantCon Singapore. 19 Oct 2016 • 1 min. read • Comments. Downloading S&P 500 tickers and data using Python. 02 Oct 2014 • 4 min. read • Comments. Finding and dowloading a list of current S&P 500 companies and their respective price data can be tedious at best. Luckily for you, today I’m going to share with you a Python script that I use to construct a database of daily bar data for the current S&P 500 companies. [ read more. Online Linear Regression using a Kalman Filter. Mdash; Theme by PixelCog.

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thealgoengineer.com thealgoengineer.com
1

Online Linear Regression using a Kalman Filter

http://www.thealgoengineer.com/2014/online_linear_regression_kalman_filter

Online Linear Regression using a Kalman Filter. 13 Aug 2014 • 5 min. read • Comments. Is useful for many financial applications such as finding the hedge ratio between two assests in a pair trade. In a perfect world, the realtionship between assests would remain constant along with the slope and intercet of a linear regression. Unfortutanely this is usually the exception rather than the rule. In this post, I’m going to show you how to use a Kalman filter. Where and is the adjusted closing price of EWC an...

2

About The Algo Engineer

http://www.thealgoengineer.com/about

About The Algo Engineer. The Algo Engineer is a blog by Dr. Aidan O’Mahony. About research, design and implementation of algorithmic trading systems using Python and Linux. My background is in Mechanical Engineering and I completed my Ph.D. in Computational Fluid Dynamics. Over the past few years, I’ve become interested in algorithmic trading and I’m currently developing and deploying my own trading system and algorithms written in Python. If you would like to get in touch or send comments or suggestions!

3

Headless execution of IB Gateway on Ubuntu Server

http://www.thealgoengineer.com/2014/ib-headless

Headless execution of IB Gateway on Ubuntu Server. 10 Jul 2014 • 3 min. read • Comments. I have a headless machine running Ubuntu Server. After some googling, I found the IBController. Project on github, which provides hands-free operation of IB Gateway. It completes the login dialog automatically with credentials from a. File and allows IB Gateway to be launched from a script. The IBController userguide. Suggests that headless execution. Repository. It also shows how to use monit. You will also need a.

4

Talk at QuantCon Singapore

http://www.thealgoengineer.com/2016/talk_at_quantcon

Talk at QuantCon Singapore. 19 Oct 2016 • 1 min. read • Comments. Just a quick note to say that I will be giving a talk on using the Kalman filter in algorithmic trading and demonstrating its use in arbitrage stratagies at the Quantopian. Being held in Singapore on Firday 11th November. Quantopian have put togther a great list of speakers with a lot of industry heavyweights and experts from the quantitative trading blogosphere. The Algo Engineer is a blog by Dr. Aidan O'Mahony. Mdash; Theme by PixelCog.

5

Downloading S&P 500 tickers and data using Python

http://www.thealgoengineer.com/2014/download_sp500_data

Downloading S&P 500 tickers and data using Python. 02 Oct 2014 • 4 min. read • Comments. Finding and dowloading a list of current S&P 500 companies and their respective price data can be tedious at best. Luckily for you, today I’m going to share with you a Python script that I use to construct a database of daily bar data for the current S&P 500 companies. The script works as follows:. Scrape S&P 500 ticker list and industry sectors from list of S&P 500 companies. Variables at the top of the scipt.

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The Algo Engineer

Talk at QuantCon Singapore. 19 Oct 2016 • 1 min. read • Comments. Downloading S&P 500 tickers and data using Python. 02 Oct 2014 • 4 min. read • Comments. Finding and dowloading a list of current S&P 500 companies and their respective price data can be tedious at best. Luckily for you, today I’m going to share with you a Python script that I use to construct a database of daily bar data for the current S&P 500 companies. [ read more. Online Linear Regression using a Kalman Filter. Mdash; Theme by PixelCog.

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