[bisq-network/projects] [WIP] Create more detailed offerbook metrics (#22)

[Florian Reimair]

# Description

- we had a good day of trades, why is that
- see how the offer book looked like in detail
- in detail 3 additional data histogram streams
  - offers per trader - eg. 20% of all traders produce 80% of all offers
  - volume per trader - eg. the top 2% of all traders have 90% of volume on offer
  - volume per offer - eg. 40% of offers cause only 10% of volume
- per market.
- these metrics have already been discussed with @m52go 

- example: offers per trader
![Screenshot from 2020-02-24 18-37-47](https://user-images.githubusercontent.com/1070734/75176627-cbf57b00-5734-11ea-9db3-85a6e720e4e4.png)
where the data series 0..4 compiles to

| data series | meaning |
| --- | --- |
| 0 | traders which have less than 20% offers active than the top trader has by count |
| 1 | traders which have between 20% and 40% offers active then the top trader has by count |
| 2 | traders, 40-60% |
| 3 | traders, 60-80% |
| 4 | top 20% of traders, by offer count |

for example, given a top trader having 20 active offers, a trader having 1, 2, 3 or 4 offer open would be grouped into series 0.

If these metrics turn out to be useful, we can think of creating the same set of data streams for trades.

# Criteria for Delivery

Make the data visible as graphs on https://monitor.bisq.network/.

# Tasks

- [x] design metrics
- [x] proof of concept implementation
- [ ] update monitoring daemon
- [ ] deploy monitoring daemon
- [ ] configure https://monitor.bisq.network/

# Estimates

USD 750,00 as already [stated](https://github.com/bisq-network/bisq/issues/3916#issuecomment-588294997)

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