MARKETSUSPENSION
MARKETSUSPENSION is obsolete from 2017 End of Year DM4.27 Release. MARKETSUSPENSION sets out a start and end periods of any market suspension and the reason.
Deprecation Warning
This table is in the HISTORICAL TABLES package, so is likely deprecated.
MARKETSUSPENSION is public data, so is available to all participants.
Source
MARKETSUSPENSION updates only if market is suspended.
Column Schema
SUSPENSIONID
Unique identifier for suspension
SQL Type: VARCHAR2(10)
Polars Type: str
This column is mandatory, and a primary key.
Examples:
SA BLACKY2KCAP
ENDAUTHORISEDBY
User authorising end
SQL Type: VARCHAR2(15)
Polars Type: str
This column is not mandatory.
Examples:
CBROWNLEERGILLETT
ENDDATE
End Date of suspension
SQL Type: DATE
Polars Type: pl.Date()
This column is not mandatory.
Example: 2000/01/03 00:00:00
Note that AEMO represents dates as datetimes with a midnight time component.
ENDPERIOD
End trading interval of suspension
SQL Type: NUMBER(3,0)
Polars Type: pl.Int16
This column is not mandatory.
Examples:
0, 45
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: 1999/12/30 19:10:46
REASON
Reason for suspension
SQL Type: VARCHAR2(64)
Polars Type: str
This column is not mandatory.
Examples:
System Black & Ministerial DirectionY2K Price Cap during 3 day Y2K Period 31/12/1999 to 02/01/2000
STARTAUTHORISEDBY
User authorising start
SQL Type: VARCHAR2(15)
Polars Type: str
This column is not mandatory.
Examples:
CBROWNLEERGILLETT
STARTDATE
Start date of suspension
SQL Type: DATE
Polars Type: pl.Date()
This column is not mandatory.
Example: 1999/12/31 00:00:00
Note that AEMO represents dates as datetimes with a midnight time component.
STARTPERIOD
Start trading interval of suspension
SQL Type: NUMBER(3,0)
Polars Type: pl.Int16
This column is not mandatory.
Examples:
1, 33
New Data Timing
When the market is suspended
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("LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
pl.col("ENDDATE", "STARTDATE").str.strptime(pl.Date, d_fmt),
)
.cast(
{
"SUSPENSIONID": str,
"ENDAUTHORISEDBY": str,
"ENDDATE": pl.Date(),
"ENDPERIOD": int, # or pl.Int16
"REASON": str,
"STARTAUTHORISEDBY": str,
"STARTDATE": pl.Date(),
"STARTPERIOD": int, # or pl.Int16
}
)
# Deduplicate
# We want one row per ['SUSPENSIONID']
# Tie-breaker: greatest value of ['LASTCHANGED']
.sort(["LASTCHANGED"], descending=False)
.unique(subset=["SUSPENSIONID"], keep="last")
)
Nemosis
This table is not yet available in Nemosis.
Example File
From PUBLIC_ARCHIVE_MARKETSUSPENSION_FILE01_202609010000.zip
| SUSPENSIONID | STARTDATE | STARTPERIOD | ENDDATE | ENDPERIOD | REASON | STARTAUTHORISEDBY | ENDAUTHORISEDBY | LASTCHANGED |
| Y2KCAP | 1999/12/31 00:00:00 | 1 | 2000/01/03 00:00:00 | 0 | Y2K Price Cap during 3 day Y2K Period 31/12/1999 to 02/01/2000 | RGILLETT | RGILLETT | 1999/12/30 19:10:46 |
| SA BLACK | 2016/09/28 00:00:00 | 33 | 2016/10/11 00:00:00 | 45 | System Black & Ministerial Direction | CBROWNLEE | CBROWNLEE | 2016/10/11 22:47:43 |
| C | SETP.WORLD | DVD_MARKETSUSPENSION | AEMO | PUBLIC | 2026/10/09 | 15:53:28 | 001791525208133 | MONTHLY_ARCHIVE | 001791525208133 | |||
| I | FORCE_MAJEURE | MARKETSUSPENSION | 1 | SUSPENSIONID | STARTDATE | STARTPERIOD | ENDDATE | ENDPERIOD | REASON | STARTAUTHORISEDBY | ENDAUTHORISEDBY | LASTCHANGED |
| D | FORCE_MAJEURE | MARKETSUSPENSION | 1 | Y2KCAP | 1999/12/31 00:00:00 | 1 | 2000/01/03 00:00:00 | 0 | Y2K Price Cap during 3 day Y2K Period 31/12/1999 to 02/01/2000 | RGILLETT | RGILLETT | 1999/12/30 19:10:46 |
| D | FORCE_MAJEURE | MARKETSUSPENSION | 1 | SA BLACK | 2016/09/28 00:00:00 | 33 | 2016/10/11 00:00:00 | 45 | System Black & Ministerial Direction | CBROWNLEE | CBROWNLEE | 2016/10/11 22:47:43 |
| C | END OF REPORT | 5 |
SUSPENSIONID,STARTDATE,STARTPERIOD,ENDDATE,ENDPERIOD,REASON,STARTAUTHORISEDBY,ENDAUTHORISEDBY,LASTCHANGED
Y2KCAP,"1999/12/31 00:00:00",1,"2000/01/03 00:00:00",0,"Y2K Price Cap during 3 day Y2K Period 31/12/1999 to 02/01/2000",RGILLETT,RGILLETT,"1999/12/30 19:10:46"
"SA BLACK ","2016/09/28 00:00:00",33,"2016/10/11 00:00:00",45,"System Black & Ministerial Direction ",CBROWNLEE,CBROWNLEE,"2016/10/11 22:47:43"
C,SETP.WORLD,DVD_MARKETSUSPENSION,AEMO,PUBLIC,2026/10/09,15:53:28,001791525208133,MONTHLY_ARCHIVE,001791525208133
I,FORCE_MAJEURE,MARKETSUSPENSION,1,SUSPENSIONID,STARTDATE,STARTPERIOD,ENDDATE,ENDPERIOD,REASON,STARTAUTHORISEDBY,ENDAUTHORISEDBY,LASTCHANGED
D,FORCE_MAJEURE,MARKETSUSPENSION,1,Y2KCAP,"1999/12/31 00:00:00",1,"2000/01/03 00:00:00",0,"Y2K Price Cap during 3 day Y2K Period 31/12/1999 to 02/01/2000",RGILLETT,RGILLETT,"1999/12/30 19:10:46"
D,FORCE_MAJEURE,MARKETSUSPENSION,1,"SA BLACK ","2016/09/28 00:00:00",33,"2016/10/11 00:00:00",45,"System Black & Ministerial Direction ",CBROWNLEE,CBROWNLEE,"2016/10/11 22:47:43"
C,"END OF REPORT",5
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 7 KB when zipped, 72 KB as unzipped CSV.
Deduplication and PDR Loader Configuration
The primary keys are:
| Report Name | Report Subtype | Version | Undisclosed |
|---|---|---|---|
| FORCE_MAJEURE | MARKETSUSPENSION | 1 | ⚠️ |
Warning
Some of these file mappings are not in the published PDR Loader configuration file, even though files for this table exist with those metadata values. Mappings marked with ⚠️ have been added by me after manually inspecting those files.
This means that the CSV files start with metadata columns:
Indexes
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: HISTORICAL TABLES