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$30 USD / hour
Flag of UNITED STATES
aurora, united states
$30 USD / hour
It's currently 1:24 PM here
Joined July 17, 2013
0 Recommendations

Brian C.

@Blackarbs

 5.0 (2 reviews)
3.3
3.3
100%
100%
$30 USD / hour
Flag of UNITED STATES
aurora, united states
$30 USD / hour
100%
Jobs Completed
100%
On Budget
100%
On Time
N/A
Repeat Hire Rate

Investment Research | Financial Analysis | Modeling_Reporting

CFA Charterholder Quantitative analyst, Quantitative Researcher and Developer See original research posted on and twitter @blackarbsCEO.
Freelancer Python Developers United States
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Portfolio

2348264
This is a sample script of a Python solution to manage Windows files and folders consisting of several hundred GB's of data.
Example of Python Script for Windows File Directory Mgmt
2335595
This is a sample of the data visualizations I can create using Python. The datasets are from Yahoo Finance and feature multiple ETF's blended into a composite or synthetic ETF of each asset class.
Advanced Python Data Visualizations Produced Algorithmically
This is a sample of the data visualizations I can create using Python. The datasets are from Yahoo Finance and feature multiple ETF's blended into a composite or synthetic ETF of each asset class.
Advanced Python Data Visualizations Produced Algorithmically
This is a sample of the data visualizations I can create using Python. The datasets are from Yahoo Finance and feature multiple ETF's blended into a composite or synthetic ETF of each asset class.
Advanced Python Data Visualizations Produced Algorithmically
This is a sample of the data visualizations I can create using Python. The datasets are from Yahoo Finance and feature multiple ETF's blended into a composite or synthetic ETF of each asset class.
Advanced Python Data Visualizations Produced Algorithmically
2335578
This is a sample of a webscraper script I developed which does the following: 1) Create the system variables I need based on which computer system I'm using 2) Creates the filepath structure to output the data collected 3) Accesses the site using a user specified web proxy and a randomized anonymous browser user-agent to scrape the data content required for each ETF/stock needed 4) Built in error handling in case of timeout or missing data 5) Outputs the data in user-specified format of txt or pickle for later analysis
Advanced Financial Website Scraper Sample Code
This is a sample of a webscraper script I developed which does the following: 1) Create the system variables I need based on which computer system I'm using 2) Creates the filepath structure to output the data collected 3) Accesses the site using a user specified web proxy and a randomized anonymous browser user-agent to scrape the data content required for each ETF/stock needed 4) Built in error handling in case of timeout or missing data 5) Outputs the data in user-specified format of txt or pickle for later analysis
Advanced Financial Website Scraper Sample Code
This is a sample of a webscraper script I developed which does the following: 1) Create the system variables I need based on which computer system I'm using 2) Creates the filepath structure to output the data collected 3) Accesses the site using a user specified web proxy and a randomized anonymous browser user-agent to scrape the data content required for each ETF/stock needed 4) Built in error handling in case of timeout or missing data 5) Outputs the data in user-specified format of txt or pickle for later analysis
Advanced Financial Website Scraper Sample Code
2335560
This is an example of an Excel file that is created by Python. The Python script scrapes a Javascript based website for specific data sets, returns the tables and data required, adds some custom analysis and formatting, then outputs an Excel document which compares team performance in specific categories in past and future matchups.
US Football Data Scraper outputs to Excel programmatically
2348264
This is a sample script of a Python solution to manage Windows files and folders consisting of several hundred GB's of data.
Example of Python Script for Windows File Directory Mgmt
2335595
This is a sample of the data visualizations I can create using Python. The datasets are from Yahoo Finance and feature multiple ETF's blended into a composite or synthetic ETF of each asset class.
Advanced Python Data Visualizations Produced Algorithmically
This is a sample of the data visualizations I can create using Python. The datasets are from Yahoo Finance and feature multiple ETF's blended into a composite or synthetic ETF of each asset class.
Advanced Python Data Visualizations Produced Algorithmically
This is a sample of the data visualizations I can create using Python. The datasets are from Yahoo Finance and feature multiple ETF's blended into a composite or synthetic ETF of each asset class.
Advanced Python Data Visualizations Produced Algorithmically
This is a sample of the data visualizations I can create using Python. The datasets are from Yahoo Finance and feature multiple ETF's blended into a composite or synthetic ETF of each asset class.
Advanced Python Data Visualizations Produced Algorithmically
2335578
This is a sample of a webscraper script I developed which does the following: 1) Create the system variables I need based on which computer system I'm using 2) Creates the filepath structure to output the data collected 3) Accesses the site using a user specified web proxy and a randomized anonymous browser user-agent to scrape the data content required for each ETF/stock needed 4) Built in error handling in case of timeout or missing data 5) Outputs the data in user-specified format of txt or pickle for later analysis
Advanced Financial Website Scraper Sample Code
This is a sample of a webscraper script I developed which does the following: 1) Create the system variables I need based on which computer system I'm using 2) Creates the filepath structure to output the data collected 3) Accesses the site using a user specified web proxy and a randomized anonymous browser user-agent to scrape the data content required for each ETF/stock needed 4) Built in error handling in case of timeout or missing data 5) Outputs the data in user-specified format of txt or pickle for later analysis
Advanced Financial Website Scraper Sample Code
This is a sample of a webscraper script I developed which does the following: 1) Create the system variables I need based on which computer system I'm using 2) Creates the filepath structure to output the data collected 3) Accesses the site using a user specified web proxy and a randomized anonymous browser user-agent to scrape the data content required for each ETF/stock needed 4) Built in error handling in case of timeout or missing data 5) Outputs the data in user-specified format of txt or pickle for later analysis
Advanced Financial Website Scraper Sample Code
2335560
This is an example of an Excel file that is created by Python. The Python script scrapes a Javascript based website for specific data sets, returns the tables and data required, adds some custom analysis and formatting, then outputs an Excel document which compares team performance in specific categories in past and future matchups.
US Football Data Scraper outputs to Excel programmatically

Reviews

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5.0
$70.00 USD
Implement a Simple Trading Algorithm into Quantopian for Back-Testing
I really enjoyed working with Blackarbs. He provided me with well documented code and was willing to work with me throughout several versions as I requested tweaks to the algorithm. He knows what he's talking about and he gets the job done.
Java
Python
Finance
Financial Markets
Programming
User Avatar
Flag of Thomas F.
@trfeustel
•
8 years ago
5.0
$120.00 USD
Urgent! We need a recursive script that zips up a bunch of files.
BlackArbs was a standard of freelancer work. His work was clean, concise, well planned and easy to use. 10/10 - would and will work with again!
Python
Odd Jobs
T
Flag of Tanner K.
@TannerKal
•
8 years ago

Education

BSc Economics

Northeastern University, United States 2003 - 2008
(5 years)

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Top Skills

Python 2
Finance 2
Financial Markets 2
Financial Research 1
Data Processing

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