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SRA_CASH_SECURITY

Records the Cash Security details provided by an SRA Auction Participant as collateral to cover their Trading Position in the SRA market

Column Schema

CASH_SECURITY_ID

Unique identifier for the cash security.

SQL Type: VARCHAR2(36) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

AUTHORISEDDATE

Authorised date

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: 2026/01/20 00:05:00

CASH_AMOUNT

Dollar amount of the cash security.

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

CASH_SECURITY_RETURNED

Returned Dollar amount of the Cash Security.

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

DELETIONDATE

Cash Security deleted date. For valid records, DeletionDate will be Null.

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: 2026/01/20 00:05:00

FINALRETURNDATE

Date the entire Cash Security amount was returned to the Auction Participant

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: 2026/01/20 00:05:00

INTEREST_ACCT_ID

The interest account ID for calculating the interest payment

SQL Type: VARCHAR2(20) Polars Type: str

This column is not mandatory.

LASTCHANGED

The date and time this record was last modified

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 2026/01/20 00:05:00

PARTICIPANTID

Unique identifier for the auction participant lodging the cash security.

For more information, see the dedicated documentation page.

SQL Type: VARCHAR2(10) Polars Type: pl.Categorical

This column is not mandatory.

PROVISION_DATE

Date AEMO received the Cash Security deposit

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: 2026/01/20 00:05:00

New Data Timing

On record authorisation

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"

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",
            "DELETIONDATE",
            "FINALRETURNDATE",
            "LASTCHANGED",
            "PROVISION_DATE",
        ).str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "CASH_SECURITY_ID": pl.Categorical,
            "CASH_AMOUNT": pl.Float64,
            "CASH_SECURITY_RETURNED": pl.Float64,
            "INTEREST_ACCT_ID": str,
            "PARTICIPANTID": pl.Categorical,
        }
    )
    # Deduplicate
    # We want one row per ['CASH_SECURITY_ID']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(subset=["CASH_SECURITY_ID"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Availability

Visibility: Private

This table is not available in the public monthly MMSDM archive. Is is only available to registered market participants over FTP inside a VPN.

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
IRAUCTION SRA_CASH_SECURITY 1

This means that the CSV files start with metadata columns:

I,IRAUCTION,SRA_CASH_SECURITY,1,...
D,IRAUCTION,SRA_CASH_SECURITY,1,...

ROW_FILTER_TYPE is LASTCHANGED

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: IRAUCTION