Cryptoasset portfolio tools

I spent some time Sunday cleaning up all the old coding projects on one of my computers and uploading them to my GitLab page. Most of the repos are private, but I’ll talk about cryptomarketbot shortly. I had to go through everything to make sure all tokens and other identifiable information was moved out. I used the wonderful python_dotenv package for that.

Most of the packages related to campaign finance data, that will likely stay private until I’m ready to dox myself, or crypto or equities related stuff. There were a few commercial projects that I had parked on Bitbucket that have been moved. Now that I’ve been able to inventory what I have, I can start fleshing out the useful stuff a bit more and refining it to something useful for myself and others.

Cryptomarket Bot

Cryptomarket Bot, as I call it, is not particularly useful. I wanted to track the advance and declines in the top cryptoassests by market value, so I built a small function that queries the CoinMarketCap API and inventories the the top x coins and counts the number that have gone up or down. I think I had the idea while I was reading Alexander Elder’s book Trading For a Living, and it seemed easy enough to implement. I went and bundled that as a Twitter bot, but I haven’t been very motivated to maintain it. I suppose I should figure out a way to park it in a docker container where I can keep it running in-house, or push it to a Heroku hobby instance and leave it there. Maybe there are additional analyses that could be run, and the library could be triggered as a function call via a scheduler, cron or Celery, instead of a never ending Python script.

Finance libraries

I have a number of spreadsheets that I use to track my cryptoasset holdings. I have one for mining and masternodes, and a series of others that I use to track investments in alts that I’ve also started using to plan equities trades as well. The general idea follows Elder’s two percent rule, that no trade exposes you to more than two percent total portfolio loss. Calculating that number for a brokerage account is pretty simple, since everything is in cash or equities, but crypto is a whole other story. One has to determine whether portfolio value is going to be pegged against the dollar, or in terms of BTC, (I prefer the latter,) and many assets may have no direct pairings, such as new shitcoins that aren’t listed on exchanges, or ERC20 assets that are only pegged to Ether.

So while figuring out my risk profile for a ethbtc trade may be simple enough, determining that for something like IDEX staking is a bit more difficult. It’s also hard to separate long term buys, (dollar cost averaging BTC,) from more speculative plays like trying to swing-trade PIVX or something. I’ll be spending more time in this space walking through that decision-making process as I figure out ways to model my portfolio.

Tomorrow marks the start of the last quarter of 2019, and we’ll use the date to mark a new snapshot of my holdings, figure out what my strategy is for the quarter, and will walk through the trades as I plan them out, execute them, and track them. Stay tuned.

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