![Screen Shot 2017-09-22 at 2.35.27 pm.png](https://steemitimages.com/DQmNnG6MwjpCiqKVxqmbGahMvgKaDNsfVs4SYB2harUZkMs/Screen%20Shot%202017-09-22%20at%202.35.27%20pm.png)
Figure 1 - Output from eos-trade-python

Prior to https://eosscan.io/ adding all the graphs and additional information, I had coded this statistical data in Python. I previously wrote a Steemit post on this here https://steemit.com/eos/@foobarme/daily-eos-distribution-statistics.

Although the site has the graphs, the code is still useful, since I have added in some intelligence to not only graph the results, but provide a degree of statistics not found on the site, as well as when is a good time to buy.

In the spirit of Open Source, I have made code freely available for download. All that is required is: -

1. Python Interpreter https://www.python.org/
2. PIP https://pypi.python.org/pypi/pip

Please find the code here https://github.com/jman-foobar/eos-trade-python

With some further tweaking, like adding ETH wallet features and exchange APIs,  it would be trivial to turn this into an arbitrage bot.

Cheers,
foobarme

![Screen Shot 2017-09-22 at 2.37.05 pm.png](https://steemitimages.com/DQmVtzqr5p7zVQmP1gqLMwxXvcBRaXAtYKi96tJrhoNw97K/Screen%20Shot%202017-09-22%20at%202.37.05%20pm.png)