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MARKETFEETRK

MARKETFEETRK sets out versions of each market fee used and its effective date.

MARKETFEETRK data is public, so is available to all participants.

Source

MARKETFEETRK updated infrequently, when new annual rates must be inserted.

Volume

One record inserted per year.

Column Schema

EFFECTIVEDATE

Effective Date of Market notice

SQL Type: DATE Polars Type: pl.Date()

This column is mandatory, and a primary key.

Example: 1998/07/01 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

MARKETFEEVERSIONNO

Version of fees for this ID

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is mandatory, and a primary key.

Examples: 1, 2

AUTHORISEDBY

User authorising record

SQL Type: VARCHAR2(15) Polars Type: str

This column is not mandatory.

Examples:

  • AJENSZ
  • APHANDANOUVONG
  • BNELSON
  • DBOTHA
  • DGATTY
  • JGU
  • JWORMALD
  • LINDAM
  • SBUGGY
  • SCOTT

AUTHORISEDDATE

Date record authorised

Warning

Despite what the name suggests, this is a datetime, not a date.

SQL Type: DATE Polars Type: pl.Datetime()

This column is not mandatory.

Example: 2001/06/26 15:03:00

LASTCHANGED

Last date and time record changed

For more information, see the dedicated documentation page.

SQL Type: DATE Polars Type: pl.Datetime()

This column is not mandatory.

Example: 1998/08/18 11:28:42

New Data Timing

When new annual rates are added.

Code Examples

Polars

Casting is enums, categoricals etc is not essential, but may speed up parsing. Swapping int for pl.UInt16, pl.Int32 would also speed up parsing. However some of the datatypes are inferred, so they may be wrong.

This code deduplicates for you. Deduplication is normally only required across multiple months.

This code assumes that all columns are present, which may not be true for older files.

import polars as pl
import polars.selectors as cs

# e.g. "2029/03/15 00:05:00"
dt_s_fmt = "%Y/%m/%d %H:%M:%S"

# Dates are represented as datetimes at midnight

d_fmt = "%Y/%m/%d 00:00:00"

csv_paths = ["SOMEFILE.CSV", "OTHERFILE.CSV"]

lf = (
    pl.concat(
        [
            pl.scan_csv(
                csv_path,  # must be unzipped beforehand
                skip_rows=1,  # skip the header
                infer_schema=False,  # much faster
            )
            .filter(cs.by_index(0) == "D")  # drop the footer
            .select(~cs.by_index(range(4)))  # drop metadata columns
            for csv_path in csv_paths
        ],
        how="diagonal_relaxed",
    )
    .with_columns(
        pl.col("AUTHORISEDDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("EFFECTIVEDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "EFFECTIVEDATE": pl.Date(),
            "MARKETFEEVERSIONNO": int,  # or pl.Int16
            "AUTHORISEDBY": str,
        }
    )
    # Deduplicate
    # We want one row per ['EFFECTIVEDATE', 'MARKETFEEVERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["EFFECTIVEDATE", "MARKETFEEVERSIONNO"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_MARKETFEETRK_FILE01_202609010000.zip

MARKETFEEVERSIONNOEFFECTIVEDATEAUTHORISEDBYAUTHORISEDDATELASTCHANGED
21998/09/09 00:00:00BNELSON1998/09/09 00:00:00
11998/11/15 00:00:00BNELSON1998/09/09 00:00:00
11998/07/01 00:00:00JWORMALD1998/08/18 00:00:001998/08/18 11:28:42
11998/10/29 00:00:00WING1998/10/29 00:00:00
21998/11/15 00:00:00WING1998/10/29 00:00:00
21998/10/29 00:00:00WING1998/10/29 00:00:00
11998/11/01 00:00:00WING1998/10/29 00:00:00
11999/03/21 00:00:00SBUGGY1999/04/14 00:00:00
11999/07/01 00:00:00WING1999/06/25 00:00:001999/06/25 17:52:01
11999/12/05 00:00:00JWORMALD1999/11/26 00:00:001999/11/26 14:29:31
12000/07/01 00:00:00SCOTT2000/06/27 00:00:002000/06/27 10:01:29
...

CSETP.WORLDDVD_MARKETFEETRKAEMOPUBLIC2026/10/0915:53:25001791525205888MONTHLY_ARCHIVE001791525205888
ISETTLEMENT_CONFIGMARKETFEETRK1MARKETFEEVERSIONNOEFFECTIVEDATEAUTHORISEDBYAUTHORISEDDATELASTCHANGED
DSETTLEMENT_CONFIGMARKETFEETRK121998/09/09 00:00:00BNELSON1998/09/09 00:00:00
DSETTLEMENT_CONFIGMARKETFEETRK111998/11/15 00:00:00BNELSON1998/09/09 00:00:00
DSETTLEMENT_CONFIGMARKETFEETRK111998/07/01 00:00:00JWORMALD1998/08/18 00:00:001998/08/18 11:28:42
DSETTLEMENT_CONFIGMARKETFEETRK111998/10/29 00:00:00WING1998/10/29 00:00:00
DSETTLEMENT_CONFIGMARKETFEETRK121998/11/15 00:00:00WING1998/10/29 00:00:00
DSETTLEMENT_CONFIGMARKETFEETRK121998/10/29 00:00:00WING1998/10/29 00:00:00
DSETTLEMENT_CONFIGMARKETFEETRK111998/11/01 00:00:00WING1998/10/29 00:00:00
DSETTLEMENT_CONFIGMARKETFEETRK111999/03/21 00:00:00SBUGGY1999/04/14 00:00:00
DSETTLEMENT_CONFIGMARKETFEETRK111999/07/01 00:00:00WING1999/06/25 00:00:001999/06/25 17:52:01
DSETTLEMENT_CONFIGMARKETFEETRK111999/12/05 00:00:00JWORMALD1999/11/26 00:00:001999/11/26 14:29:31
DSETTLEMENT_CONFIGMARKETFEETRK112000/07/01 00:00:00SCOTT2000/06/27 00:00:002000/06/27 10:01:29
...
CEND OF REPORT51

MARKETFEEVERSIONNO,EFFECTIVEDATE,AUTHORISEDBY,AUTHORISEDDATE,LASTCHANGED
2,"1998/09/09 00:00:00",BNELSON,"1998/09/09 00:00:00",
1,"1998/11/15 00:00:00",BNELSON,"1998/09/09 00:00:00",
1,"1998/07/01 00:00:00",JWORMALD,"1998/08/18 00:00:00","1998/08/18 11:28:42"
1,"1998/10/29 00:00:00",WING,"1998/10/29 00:00:00",
2,"1998/11/15 00:00:00",WING,"1998/10/29 00:00:00",
2,"1998/10/29 00:00:00",WING,"1998/10/29 00:00:00",
1,"1998/11/01 00:00:00",WING,"1998/10/29 00:00:00",
1,"1999/03/21 00:00:00",SBUGGY,"1999/04/14 00:00:00",
1,"1999/07/01 00:00:00",WING,"1999/06/25 00:00:00","1999/06/25 17:52:01"
1,"1999/12/05 00:00:00",JWORMALD,"1999/11/26 00:00:00","1999/11/26 14:29:31"
1,"2000/07/01 00:00:00",SCOTT,"2000/06/27 00:00:00","2000/06/27 10:01:29"
...
C,SETP.WORLD,DVD_MARKETFEETRK,AEMO,PUBLIC,2026/10/09,15:53:25,001791525205888,MONTHLY_ARCHIVE,001791525205888
I,SETTLEMENT_CONFIG,MARKETFEETRK,1,MARKETFEEVERSIONNO,EFFECTIVEDATE,AUTHORISEDBY,AUTHORISEDDATE,LASTCHANGED
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,2,"1998/09/09 00:00:00",BNELSON,"1998/09/09 00:00:00",
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,1,"1998/11/15 00:00:00",BNELSON,"1998/09/09 00:00:00",
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,1,"1998/07/01 00:00:00",JWORMALD,"1998/08/18 00:00:00","1998/08/18 11:28:42"
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,1,"1998/10/29 00:00:00",WING,"1998/10/29 00:00:00",
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,2,"1998/11/15 00:00:00",WING,"1998/10/29 00:00:00",
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,2,"1998/10/29 00:00:00",WING,"1998/10/29 00:00:00",
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,1,"1998/11/01 00:00:00",WING,"1998/10/29 00:00:00",
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,1,"1999/03/21 00:00:00",SBUGGY,"1999/04/14 00:00:00",
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,1,"1999/07/01 00:00:00",WING,"1999/06/25 00:00:00","1999/06/25 17:52:01"
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,1,"1999/12/05 00:00:00",JWORMALD,"1999/11/26 00:00:00","1999/11/26 14:29:31"
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,1,"2000/07/01 00:00:00",SCOTT,"2000/06/27 00:00:00","2000/06/27 10:01:29"
...
C,"END OF REPORT",51

Availability

Visibility: Public

This table is in the public monthly MMSDM archive.

I have collated the list of all those files into one place, in this CSV metadata file. (Columns year, month, url, compressed_size in bytes).

The earliest available data is month 1 of 2015. The most recent available data is month 9 of 2026.

Every month in between has a file. (No gaps.)

Data Size

Each year of data is approximately 15 KB when zipped, 150 KB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

The transaction type is "INSERT-UPDATE", which means that you will likely see duplicate data with different values.

You should deduplicate by sorting based on LASTCHANGED, within each group of primary keys.

PDR Loader configuration is:

Report Name Report Subtype Version
SETTLEMENT_CONFIG MARKETFEETRK 1

This means that the CSV files start with metadata columns:

I,SETTLEMENT_CONFIG,MARKETFEETRK,1,...
D,SETTLEMENT_CONFIG,MARKETFEETRK,1,...

ROW_FILTER_TYPE is LASTCHANGED

Indexes

This page as JSON (schema documented here, but may change)

Download a JSON Schema specification for this table.

Official AEMO schema documentation

Other Information

Package: SETTLEMENT_CONFIG