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.
| Report Name | Report Subtype | Version |
|---|---|---|
| IRAUCTION | SRA_CASH_SECURITY | 1 |
This means that the CSV files start with metadata columns:
ROW_FILTER_TYPE is LASTCHANGED
Links
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