Fund Performance

Scheme-level performance data — returns, benchmark comparisons, and maturity categories.

Note

The AMFI website generates the Excel export client-side only. There is no server-side download endpoint; fetch() is the only way to retrieve data programmatically.

Data dictionary: Fund Performance field reference →

`amfipy.fund_performance.FundPerformanceClient`

Sync client for Fund Performance data.

`filters()`

Fetch all filter options (maturity types, categories, fund list).

Returns::

{
  "maturityTypeList": [{"name": "Open Ended", "id": 1}, ...],
  "investmentTypeList": [{"name": "Equity", "id": 1}, ...],
  "mutualFundList": [{"name": "360 ONE Mutual Fund", "id": 1}, ...]
}

`sub_categories(category)`

Fetch sub-categories for a given category ID.

Parameters:

Name	Type	Description	Default
`category`	`int`	Category ID (1=Equity, 2=Debt, 3=Hybrid, 4=Solution Oriented, 5=Other)	required

`fetch(maturity_type=MATURITY_OPEN, category=CATEGORY_EQUITY, sub_category=1, mf_id=0, report_date=None)`

Fetch fund performance data.

Parameters:

Name	Type	Description	Default
`maturity_type`	`int`	1=Open Ended, 2=Close Ended	`MATURITY_OPEN`
`category`	`int`	1=Equity, 2=Debt, 3=Hybrid, 4=Solution Oriented, 5=Other	`CATEGORY_EQUITY`
`sub_category`	`int`	Sub-category ID (fetch from :meth:`sub_categories`).	`1`
`mf_id`	`int`	0=All, or numeric mutual fund ID from :meth:`filters`.	`0`
`report_date`	`str \| None`	"DD-Mon-YYYY" e.g. "07-May-2026". Defaults to last business day.	`None`

Returns:

Type	Description
`dict`	Performance data dict with scheme-level metrics (returns, ratios, etc.).