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: -
- Python Interpreter https://www.python.org/
- 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
