Api historical trigger occurrencies

[tspenov]

daily_active_addresses

 {
  historicalTriggerPoints(
    cooldown:"2d"
    settings: "{\"channel\":\"telegram\",\"percent_threshold\":200.0,\"repeating\":false,\"target\":\"naga\",\"time_window\":\"30d\",\"type\":\"daily_active_addresses\"}"
  )
}

...
      {
        "active_addresses": 17,
        "datetime": "2019-01-10T00:00:00Z",
        "percent_change": -30,
        "price": 0.07062305541440246,
        "triggered?": false
      },
      {
        "active_addresses": 12,
        "datetime": "2019-01-11T00:00:00Z",
        "percent_change": -50,
        "price": 0.0656760396585122,
        "triggered?": false
      },
      {
        "active_addresses": 193,
        "datetime": "2019-01-12T00:00:00Z",
        "percent_change": 718,
        "price": 0.07118857891523572,
        "triggered?": true
      },

price_absolute_change

 {
  historicalTriggerPoints(
    cooldown: "1h"
    settings: "{\"channel\":\"telegram\",\"above\":0.400417,\"repeating\":false,\"target\":\"santiment\",\"type\":\"price_absolute_change\"}"
  )
}

      {
        "datetime": "2019-02-20T07:00:00Z",
        "price": 0.5267121707551666,
        "triggered?": true
      },
      {
        "datetime": "2019-02-20T08:00:00Z",
        "price": 0.5307551205455,
        "triggered?": false
      },
      {
        "datetime": "2019-02-20T09:00:00Z",
        "price": 0.5335671901080714,
        "triggered?": true
      },
      {
        "datetime": "2019-02-20T10:00:00Z",
        "price": 0.5369475239806667,
        "triggered?": false
      }

price_percent_change

 {
  historicalTriggerPoints(
    cooldown:"1h"
    settings: "{\"channel\":\"telegram\",\"percent_threshold\":5.0,\"repeating\":false,\"target\":\"santiment\",\"time_window\":\"1h\",\"type\":\"price_percent_change\"}"
  )
}

{
      {
        "datetime": "2018-11-25T11:00:00Z",
        "percent_change": 6.0,
        "price": 0.2235804541695652,
        "triggered?": true
      },
      {
        "datetime": "2018-11-25T12:00:00Z",
        "percent_change": 1.0,
        "price": 0.22570803848636364,
        "triggered?": false
      },
      {
        "datetime": "2018-11-25T13:00:00Z",
        "percent_change": 0.0,
        "price": 0.22634788076956525,
        "triggered?": false
      },
...

[IvanIvanoff]

@tspenov maybe we need to start separating the functions into modules, i.e. one for current and one for historical calculations

[IvanIvanoff]

One crucial part that I see missing is the cooldown. IMO it should be implemented in the evaluator - if a point is triggered, you need to jump over time_window interval of points, otherwise it is not understandable when it will trigger