I am building a system that allows users to purchase digital assets, and i would like to know the asset's performance of individual users.

A user may purchase an asset multiple time in a single day, at difference 'offer' price and likewise, a user may also sell their asset in a single day, at different 'bid' price.

Currently i store information such as accounts and transaction in postgresql, however i need to regularly store the %-age gain/loss and amount gain/loss of individual users at different timestamp so that i can analyze the performance over time.

For example, i can compare a user's performance today vs last thursday. Or This quarter vs last quarter, or Q1 this year vs Q1 last year.

My main concern is on how i should store the data, i am thinking of using timeseries database such as influx or prometheus.

I am still in the research stage as to what database should i use, and i am really open for suggestion.

  • $\begingroup$ Have a look at Timescale DB (timescale.com). It is built on postgres so you can do anything you could do before, but it has timeseries operations made native as well. Open source (free) version available. $\endgroup$ – StackG Aug 12 '20 at 5:43
  • $\begingroup$ Have a read through this post from a few years ago. Lot's of options and opinions! quant.stackexchange.com/questions/29572/… $\endgroup$ – amdopt Aug 12 '20 at 15:01

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