Updated Import (markdown)

Import.md

@@ -163,13 +163,25 @@ Transformations allow you to transform a value before it is coerced.
 
 #### Target-specific fields
 
+Some targets have specific fields:
+
 ##### `type`
 
-For targets `account`, `category`, `account_group` you can set type to either "id" or "name". This will hel
+For targets `account`, `category`, `tags`, `entities` and `account_group` you can set type to either `id` or `name`. This will define what to filter for when creating new objects.
 
+For targets `account_currency`, `account_exchange_currency` and `currency_exchange`, you can set type to either `id`, `name` or `code`. This will define what to filter for when creating new objects.
 
+##### `create`
 
-Some targets have specific fields
+For targets `tags`, `entities`, `tags`, `entities` and `account_group` you can set create to `true` or `false`. Defaulting to `true`. This will create new objects if they don't exist. This can only be used with type `name`.
+
+##### `format`
+For targets `date` and `reference_date`, you **must** set the `format` config with a valid [Datetime format](https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes). This can also be a list of formats, each one will be tried a match is found.
+
+##### `detection_method`
+For target `type` you can set `detection_method` to `sign` for detecting transaction type from a amount sign (negative is Expense and positive is Income); `always_income` or `always_expense`.
+
+For target `is_paid` you can set `detection_method` to `boolean` to detect basic boolean strings; `always_paid` or `always_unpaid`.
 
 #### Example
 
@@ -178,8 +190,15 @@ mapping:
   date:
     target: date
     source: transaction_date
-    required: true
     format: "%Y-%m-%d"
+
+  reference_date:
+    target: reference_date
+    source: transaction_date
+    format: 
+      - "%Y-%m-%d"
+      - "%d-%m-%Y"
+      - "%m-%d-%Y"
   
   amount:
     target: amount