NAV

Net Asset Value data — latest NAVs, historical ranges, high/low, comparisons, and the full NAV flat-file download.

Data dictionary: NAV field reference →

`amfipy.nav.NAVClient`

Sync client for NAV data.

`latest(mf_id='all', fund_type='', as_df=False)`

Fetch latest NAV for all (or one) AMC.

Parameters:

Name	Type	Description	Default
`mf_id`	`str \| int`	"all" or numeric AMC ID (e.g. 62 for 360 ONE).	`'all'`
`fund_type`	`str`	""=All \| "Open Ended" \| "Close Ended" \| "Interval Fund"	`''`
`as_df`	`bool`	Return polars DataFrame (requires `pip install amfipy[polars]`).	`False`

Returns:

Type	Description
`Any`	`{"data": [{type, categories: [...]}], "count": N}`

`latest_by_category(mf_id='all', fund_type='')`

Fetch latest NAV grouped by category.

`schemes(mf_id)`

Return all schemes for a given AMC (by numeric ID).

Returns list of {"nav_id": "154043", "nav_name": "Scheme Name", "MF_ID": "85"}. Use nav_id as sd_id in history calls.

`all_navs_for_date(date, as_df=False)`

All scheme NAVs as of a specific date.

Parameters:

Name	Type	Description	Default
`date`	`str`	"YYYY-MM-DD" (e.g. "2026-03-31").	required
`as_df`	`bool`	Return polars DataFrame.	`False`

Returns:

Type	Description
`Any`	List of AMC groups, each with `schemes` sub-list.

`history(sd_id, from_date, to_date, as_df=False)`

Historical NAV for a scheme over a date range.

Parameters:

Name	Type	Description	Default
`sd_id`	`int \| str`	Scheme ID (`nav_id` from :meth:`schemes`).	required
`from_date`	`str`	"YYYY-MM-DD"	required
`to_date`	`str`	"YYYY-MM-DD"	required
`as_df`	`bool`	Return polars DataFrame.	`False`

Returns:

Type	Description
`Any`	Dict with `mf_name`, `scheme_name`, `date_range`, `nav_groups`.

`high_low(sd_id, from_date, to_date, period_type='Month', nav_type='Both', as_df=False)`

High/Low NAV for a scheme over a period.

Parameters:

Name	Type	Description	Default
`sd_id`	`int \| str`	Scheme ID.	required
`from_date`	`str`	"YYYY-MM-DD"	required
`to_date`	`str`	"YYYY-MM-DD"	required
`period_type`	`str`	"Month" \| "Annual"	`'Month'`
`nav_type`	`str`	"high" \| "Low" \| "Both"	`'Both'`
`as_df`	`bool`	Return polars DataFrame.	`False`

Returns:

Type	Description
`Any`	Dict with `mf_name`, `scheme_name`, `date_range`, `nav_data`, `nav_type`.

`compare(sd_id, date1, date2, as_df=False)`

Compare NAV of a scheme on two dates.

Parameters:

Name	Type	Description	Default
`sd_id`	`int \| str`	Scheme ID.	required
`date1`	`str`	"YYYY-MM-DD" (from_date)	required
`date2`	`str`	"YYYY-MM-DD" (to_date)	required
`as_df`	`bool`	Return polars DataFrame.	`False`

Returns:

Type	Description
`Any`	Dict with `mf_name`, `scheme_name`, `dates`, `nav_comparisons`.

`download_file(date)`

Download the full NAV flat file for a date from AMFI portal.

Returns raw bytes of the plain-text NAV file (same as the classic NAVAll.txt).

Parameters:

Name	Type	Description	Default
`date`	`str`	"DD-Mon-YYYY" e.g. "31-Mar-2026".	required

Example::

data = client.download_file("31-Mar-2026")
Path("navs.txt").write_bytes(data)

`fetch_range(sd_id, months, as_df=False)`

Fetch historical NAV for a scheme across multiple date ranges.

Parameters:

Name	Type	Description	Default
`sd_id`	`int \| str`	Scheme ID.	required
`months`	`list[tuple[str, str]]`	List of `(from_date, to_date)` tuples, each "YYYY-MM-DD".	required
`as_df`	`bool`	Return polars DataFrames.	`False`

Returns list in same order as months.