Signal contributors or indicator developers were also able to be benefit from the existing interface functions, such as `Add`, `Mul`, `Minus`, and `Div`, without rebuilding the wheels.
The series interface in bbgo borrows the concept of `series` type in pinescript that allow us to query data in time-based reverse order (data that created later will be the former object in series). Right now, based on the return type, we have two interfaces been defined in [pkg/types/indicator.go](../../pkg/types/indicator.go):
Series were used almost everywhere in indicators to return the calculated numeric results, but the use of BoolSeries is quite limited. At this moment, we only use BoolSeries to check if some condition is fulfilled at some timepoint. For example, in `CrossOver` and `CrossUnder` functions if `Last()` returns true, then there might be a cross event happened on the curves at the moment.
The calculation could either be done during invoke time (lazy init, for example), or pre-calculated everytime when event happens(ex: kline close). If it's done during invoke time and the computation is CPU intensive, better to cache the result somewhere inside the struct. Also remember to always implement the Series interface on indicator's struct pointer, so that access to the indicator would always point to the same memory space.
Instead of simple Series interface, we have `types.SeriesExtend` interface that enriches the functionality of `types.Series`. An indicator struct could simply be extended to `types.SeriesExtend` type by embedding anonymous struct `types.SeriesBase`, and instanced by `types.NewSeries()` function. The `types.SeriesExtend` interface binds commonly used functions, such as `Add`, `Reverse`, `Shift`, `Covariance` and `Entropy`, to the original `types.Series` object. Please check [pkg/types/seriesbase_imp.go](../../pkg/types/seriesbase_imp.go) for the extendable functions.
a := types.NewQueue(3) // types.Queue is a SeriesExtend container type that holds limit number of floats
a.Update(100.)
a.Update(200.)
a.Update(300.)
assert.Equal(t, a.Sum(3), 600.)
```
#### Cautions
Avoid using `floats.Slice` to hold unlimited number of floats, unless you clean up the memory regularly. Manipulate large array of numbers will give huge impact on the computation speed due to long malloc/dealloc time.