feat(orders): Added total amount to the order df

[lisandro]

What does this PR do?

• [x] I added a new column in the orders data frame with the total amount resulting from the order operations (partial and total

Where should the reviewer start?

Calc of the new column here

How should this be manually tested?

Having an order with partial operations with different prices the sum of each should be the resulting value of this new column.

Any background context you want to provide?

I saw that HB does not sum correctly the total of each operation where there were different prices from the order price, so.

Example:

• Order type: Sell

• Order price: 100

• Order qty: 10

• Operations

  1. Sell: 5 @ 102
  2. Sell 5 @ 101

• Expected total: 1015

• Current total in HB: 1000

What are the relevant tickets?

NA

Screenshots (if appropriate)

• In HB we can see that total is not correct when the

  operations had a better price

We can see that the data frame has the correct value for operated values

             symbol settlement operation_type  size    price  remaining_size            datetime     status  cancellable       total
order_number                                                                                                                        
XXXX        AY24       48hs           SELL   696  5224.00               0 2020-01-10 11:43:47  COMPLETED        False   36366.000

Questions

• I would like to discuss the name of the column to follow a naming convention and maybe put it at the end to avoid breaking changes for users accessing to column index

[crapher]

El nombre me parece bien, dos comentarios nomas.

• Please, ponele la version 0.51 en el init.py dentro del directorio pyhomebroker asi queda el merge completo con el cambio de version.
• El cambio parece bastante sencillo, pero por las dudas (mas que nada por cualquier posible incompatilibidad con las distintas versiones de Home Broker) voy a hacer el merge en github solamente para probar y unas vez que se pruebe lo subo al pypi.

[lisandro]

Gracias @crapher !! Ahí fue 🚀