Connectivity problem between local machine and an online server where Catalyst retrieves some benchmark data.

[ricereaper]

Dear Catalyst Maintainers,

Before I tell you about my issue, let me describe my environment:

Environment

• Operating System: Ubuntu 16.04 LTS guest with Win10 host via virtualbox
• Python Version: Python 2.7.12
• Python Bitness: 64
• How did you install Catalyst: pip

Now that you know a little about me, let me tell you about the issue I am
having:

Description of Issue

• What did you expect to happen?
  Running ‘’catalyst run -f buy_and_hodl.py --start 2015-3-1 --end 2017-6-28 --capital-base 100000 -o bah.pickle‘’ would successfully produce the graph as shown in the sample.

• What happened instead?
  ERROR: Loader: failed to cache treasury data
  The program failed to obtain the treasury data from http://www.federalreserve.gov/, while the connection is intact.
  Below is the connectivity test,

* Rebuilt URL to: www.federalreserve.gov/
*   Trying 132.200.148.151...
* Connected to www.federalreserve.gov (132.200.148.151) port 80 (#0)
> GET / HTTP/1.1
> Host: www.federalreserve.gov
> User-Agent: curl/7.47.0
> Accept: */*
> 
* HTTP 1.0, assume close after body
< HTTP/1.0 301 Moved Permanently
< Location: https://www.federalreserve.gov/
* HTTP/1.0 connection set to keep alive!
< Connection: Keep-Alive
< Content-Length: 0
< 
* Connection #0 to host www.federalreserve.gov left intact

Here is how you can reproduce this issue on your machine:

Reproduction Steps

I have not been able to reproduce the issue in a different network environment. This may just be a connectivity issue of that particular network.

What steps have you taken to resolve this already?

I changed my connection environment later and the program was able to successfully obtain the data.
Another solution is downloading the required data manually of the federal reserve website.

Anything else?

I am located in China.

Sincerely,
Ricereaper

[lenak25]

A temporary fix submitted to address an issue concerning the benchmark data has also included applying the same approach for the treasury data.
I am closing this, @ricereaper feel free to reopen if you feel otherwise.