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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 5 new columns ({'last_updated', 'maintenance_margin_usd', 'day_trade_margin_usd', 'initial_margin_usd', 'notes'}) and 10 missing columns ({'tick_value_usd', 'tick_size', 'contract_size', 'trading_hours_ct', 'last_trading_day', 'currency', 'typical_daily_range_ticks', 'settlement_type', 'typical_margin_usd', 'sector'}).

This happened while the csv dataset builder was generating data using

hf://datasets/propfirmkey/cme-futures-contract-specifications/data/margin_requirements.csv (at revision 4a03485e21ebe5657cf61e08180bb64434fd08e4), [/tmp/hf-datasets-cache/medium/datasets/32653148552800-config-parquet-and-info-propfirmkey-cme-futures-c-c7aac46b/hub/datasets--propfirmkey--cme-futures-contract-specifications/snapshots/4a03485e21ebe5657cf61e08180bb64434fd08e4/data/futures_contracts.csv (origin=hf://datasets/propfirmkey/cme-futures-contract-specifications@4a03485e21ebe5657cf61e08180bb64434fd08e4/data/futures_contracts.csv), /tmp/hf-datasets-cache/medium/datasets/32653148552800-config-parquet-and-info-propfirmkey-cme-futures-c-c7aac46b/hub/datasets--propfirmkey--cme-futures-contract-specifications/snapshots/4a03485e21ebe5657cf61e08180bb64434fd08e4/data/margin_requirements.csv (origin=hf://datasets/propfirmkey/cme-futures-contract-specifications@4a03485e21ebe5657cf61e08180bb64434fd08e4/data/margin_requirements.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              symbol: string
              name: string
              initial_margin_usd: int64
              maintenance_margin_usd: int64
              day_trade_margin_usd: int64
              exchange: string
              last_updated: string
              notes: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1241
              to
              {'symbol': Value('string'), 'name': Value('string'), 'exchange': Value('string'), 'sector': Value('string'), 'tick_size': Value('float64'), 'tick_value_usd': Value('float64'), 'contract_size': Value('string'), 'trading_hours_ct': Value('string'), 'last_trading_day': Value('string'), 'settlement_type': Value('string'), 'currency': Value('string'), 'typical_daily_range_ticks': Value('int64'), 'typical_margin_usd': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 5 new columns ({'last_updated', 'maintenance_margin_usd', 'day_trade_margin_usd', 'initial_margin_usd', 'notes'}) and 10 missing columns ({'tick_value_usd', 'tick_size', 'contract_size', 'trading_hours_ct', 'last_trading_day', 'currency', 'typical_daily_range_ticks', 'settlement_type', 'typical_margin_usd', 'sector'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/propfirmkey/cme-futures-contract-specifications/data/margin_requirements.csv (at revision 4a03485e21ebe5657cf61e08180bb64434fd08e4), [/tmp/hf-datasets-cache/medium/datasets/32653148552800-config-parquet-and-info-propfirmkey-cme-futures-c-c7aac46b/hub/datasets--propfirmkey--cme-futures-contract-specifications/snapshots/4a03485e21ebe5657cf61e08180bb64434fd08e4/data/futures_contracts.csv (origin=hf://datasets/propfirmkey/cme-futures-contract-specifications@4a03485e21ebe5657cf61e08180bb64434fd08e4/data/futures_contracts.csv), /tmp/hf-datasets-cache/medium/datasets/32653148552800-config-parquet-and-info-propfirmkey-cme-futures-c-c7aac46b/hub/datasets--propfirmkey--cme-futures-contract-specifications/snapshots/4a03485e21ebe5657cf61e08180bb64434fd08e4/data/margin_requirements.csv (origin=hf://datasets/propfirmkey/cme-futures-contract-specifications@4a03485e21ebe5657cf61e08180bb64434fd08e4/data/margin_requirements.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

symbol
string
name
string
exchange
string
sector
string
tick_size
float64
tick_value_usd
float64
contract_size
string
trading_hours_ct
string
last_trading_day
string
settlement_type
string
currency
string
typical_daily_range_ticks
int64
typical_margin_usd
int64
ES
E-mini S&P 500
CME
Equity Index
0.25
12.5
50 x Index
Sun-Fri 17:00-16:00
3rd Friday of contract month
Cash
USD
160
12,650
NQ
E-mini Nasdaq 100
CME
Equity Index
0.25
5
20 x Index
Sun-Fri 17:00-16:00
3rd Friday of contract month
Cash
USD
400
18,150
YM
E-mini Dow ($5)
CBOT
Equity Index
1
5
5 x Index
Sun-Fri 17:00-16:00
3rd Friday of contract month
Cash
USD
300
10,200
RTY
E-mini Russell 2000
CME
Equity Index
0.1
5
50 x Index
Sun-Fri 17:00-16:00
3rd Friday of contract month
Cash
USD
200
7,150
MES
Micro E-mini S&P 500
CME
Equity Index
0.25
1.25
5 x Index
Sun-Fri 17:00-16:00
3rd Friday of contract month
Cash
USD
160
1,265
MNQ
Micro E-mini Nasdaq 100
CME
Equity Index
0.25
0.5
2 x Index
Sun-Fri 17:00-16:00
3rd Friday of contract month
Cash
USD
400
1,815
MYM
Micro E-mini Dow
CBOT
Equity Index
1
0.5
0.5 x Index
Sun-Fri 17:00-16:00
3rd Friday of contract month
Cash
USD
300
1,020
M2K
Micro E-mini Russell 2000
CME
Equity Index
0.1
0.5
5 x Index
Sun-Fri 17:00-16:00
3rd Friday of contract month
Cash
USD
200
715
NKD
Nikkei 225 (Dollar)
CME
Equity Index
5
25
5 x Index
Sun-Fri 17:00-16:00
2nd Friday of contract month
Cash
USD
120
9,625
EMD
E-mini S&P MidCap 400
CME
Equity Index
0.1
10
100 x Index
Sun-Fri 17:00-16:00
3rd Friday of contract month
Cash
USD
80
12,100
CL
Crude Oil WTI
NYMEX
Energy
0.01
10
1000 barrels
Sun-Fri 17:00-16:00
3rd business day prior to 25th of month before delivery
Physical
USD
200
7,200
NG
Natural Gas
NYMEX
Energy
0.001
10
10000 mmBtu
Sun-Fri 17:00-16:00
3rd last business day of month before delivery
Physical
USD
60
3,800
MCL
Micro WTI Crude Oil
NYMEX
Energy
0.01
1
100 barrels
Sun-Fri 17:00-16:00
3rd business day prior to 25th of month before delivery
Physical
USD
200
720
RB
RBOB Gasoline
NYMEX
Energy
0.0001
4.2
42000 gallons
Sun-Fri 17:00-16:00
Last business day of month before delivery
Physical
USD
300
7,500
HO
Heating Oil
NYMEX
Energy
0.0001
4.2
42000 gallons
Sun-Fri 17:00-16:00
Last business day of month before delivery
Physical
USD
250
7,200
QM
E-mini Crude Oil
NYMEX
Energy
0.025
12.5
500 barrels
Sun-Fri 17:00-16:00
3rd business day prior to 25th of month before delivery
Cash
USD
80
3,600
BZ
Brent Crude Oil
NYMEX
Energy
0.01
10
1000 barrels
Sun-Fri 17:00-16:00
Last business day 2 months before delivery
Cash
USD
180
7,000
GC
Gold
COMEX
Metals
0.1
10
100 troy oz
Sun-Fri 17:00-16:00
3rd last business day of delivery month
Physical
USD
200
11,550
SI
Silver
COMEX
Metals
0.005
25
5000 troy oz
Sun-Fri 17:00-16:00
3rd last business day of delivery month
Physical
USD
60
10,200
HG
Copper
COMEX
Metals
0.0005
12.5
25000 lbs
Sun-Fri 17:00-16:00
3rd last business day of delivery month
Physical
USD
80
5,500
PL
Platinum
NYMEX
Metals
0.1
5
50 troy oz
Sun-Fri 17:00-16:00
3rd last business day of delivery month
Physical
USD
150
3,200
PA
Palladium
NYMEX
Metals
0.1
10
100 troy oz
Sun-Fri 17:00-16:00
3rd last business day of delivery month
Physical
USD
100
20,000
MGC
Micro Gold
COMEX
Metals
0.1
1
10 troy oz
Sun-Fri 17:00-16:00
3rd last business day of delivery month
Physical
USD
200
1,155
SIL
Micro Silver
COMEX
Metals
0.005
5
1000 troy oz
Sun-Fri 17:00-16:00
3rd last business day of delivery month
Physical
USD
60
2,040
ZC
Corn
CBOT
Agriculture
0.25
12.5
5000 bushels
Sun-Fri 19:00-07:45 and Mon-Fri 08:30-13:20
Business day prior to 15th of contract month
Physical
USD
40
1,650
ZS
Soybeans
CBOT
Agriculture
0.25
12.5
5000 bushels
Sun-Fri 19:00-07:45 and Mon-Fri 08:30-13:20
Business day prior to 15th of contract month
Physical
USD
60
2,750
ZW
Chicago SRW Wheat
CBOT
Agriculture
0.25
12.5
5000 bushels
Sun-Fri 19:00-07:45 and Mon-Fri 08:30-13:20
Business day prior to 15th of contract month
Physical
USD
50
1,925
ZM
Soybean Meal
CBOT
Agriculture
0.1
10
100 short tons
Sun-Fri 19:00-07:45 and Mon-Fri 08:30-13:20
Business day prior to 15th of contract month
Physical
USD
60
2,200
ZL
Soybean Oil
CBOT
Agriculture
0.01
6
60000 lbs
Sun-Fri 19:00-07:45 and Mon-Fri 08:30-13:20
Business day prior to 15th of contract month
Physical
USD
80
1,800
ZO
Oats
CBOT
Agriculture
0.25
12.5
5000 bushels
Sun-Fri 19:00-07:45 and Mon-Fri 08:30-13:20
Business day prior to 15th of contract month
Physical
USD
30
1,100
ZR
Rough Rice
CBOT
Agriculture
0.005
10
2000 cwt
Sun-Fri 19:00-07:45 and Mon-Fri 08:30-13:20
Business day prior to 15th of contract month
Physical
USD
25
1,200
KE
KC Hard Red Winter Wheat
CBOT
Agriculture
0.25
12.5
5000 bushels
Sun-Fri 19:00-07:45 and Mon-Fri 08:30-13:20
Business day prior to 15th of contract month
Physical
USD
50
2,000
CT
Cotton No. 2
ICE
Agriculture
0.01
5
50000 lbs
Mon-Fri 20:00-13:20
17th business day from end of spot month
Physical
USD
100
3,100
KC
Coffee C
ICE
Agriculture
0.05
18.75
37500 lbs
Mon-Fri 03:15-12:30
1 business day before last notice day
Physical
USD
80
5,500
SB
Sugar No. 11
ICE
Agriculture
0.01
11.2
112000 lbs
Mon-Fri 02:30-13:00
Last business day of month before delivery
Physical
USD
40
1,300
CC
Cocoa
ICE
Agriculture
1
10
10 metric tons
Mon-Fri 03:45-12:30
10 business days before last business day of delivery month
Physical
USD
100
8,500
6E
Euro FX
CME
Currencies
0.00005
6.25
125000 EUR
Sun-Fri 17:00-16:00
2nd business day before 3rd Wednesday of contract month
Cash
USD
120
2,600
6B
British Pound
CME
Currencies
0.0001
6.25
62500 GBP
Sun-Fri 17:00-16:00
2nd business day before 3rd Wednesday of contract month
Cash
USD
100
2,750
6J
Japanese Yen
CME
Currencies
0.000001
6.25
12500000 JPY
Sun-Fri 17:00-16:00
2nd business day before 3rd Wednesday of contract month
Cash
USD
80
3,100
6A
Australian Dollar
CME
Currencies
0.0001
10
100000 AUD
Sun-Fri 17:00-16:00
2nd business day before 3rd Wednesday of contract month
Cash
USD
60
1,800
6C
Canadian Dollar
CME
Currencies
0.00005
5
100000 CAD
Sun-Fri 17:00-16:00
2nd business day before 3rd Wednesday of contract month
Cash
USD
80
1,400
6S
Swiss Franc
CME
Currencies
0.0001
12.5
125000 CHF
Sun-Fri 17:00-16:00
2nd business day before 3rd Wednesday of contract month
Cash
USD
60
3,200
6N
New Zealand Dollar
CME
Currencies
0.0001
10
100000 NZD
Sun-Fri 17:00-16:00
2nd business day before 3rd Wednesday of contract month
Cash
USD
50
1,500
6M
Mexican Peso
CME
Currencies
0.00001
5
500000 MXN
Sun-Fri 17:00-16:00
2nd business day before 3rd Wednesday of contract month
Cash
USD
60
2,200
ZB
30-Year U.S. Treasury Bond
CBOT
Interest Rates
0.03125
31.25
100000 face value
Sun-Fri 17:00-16:00
7th business day before last business day of delivery month
Physical
USD
60
5,500
ZN
10-Year U.S. Treasury Note
CBOT
Interest Rates
0.015625
15.625
100000 face value
Sun-Fri 17:00-16:00
7th business day before last business day of delivery month
Physical
USD
80
2,750
ZF
5-Year U.S. Treasury Note
CBOT
Interest Rates
0.007813
7.8125
100000 face value
Sun-Fri 17:00-16:00
Last business day of delivery month
Physical
USD
80
1,600
ZT
2-Year U.S. Treasury Note
CBOT
Interest Rates
0.007813
15.625
200000 face value
Sun-Fri 17:00-16:00
Last business day of delivery month
Physical
USD
40
1,200
SR3
3-Month SOFR
CME
Interest Rates
0.0025
6.25
2500 x Rate
Sun-Fri 17:00-16:00
3rd Wednesday of contract month
Cash
USD
20
825
UB
Ultra U.S. Treasury Bond
CBOT
Interest Rates
0.03125
31.25
100000 face value
Sun-Fri 17:00-16:00
7th business day before last business day of delivery month
Physical
USD
80
7,500
TN
Ultra 10-Year U.S. Treasury Note
CBOT
Interest Rates
0.015625
15.625
100000 face value
Sun-Fri 17:00-16:00
7th business day before last business day of delivery month
Physical
USD
70
3,400
LE
Live Cattle
CME
Livestock
0.025
10
40000 lbs
Mon-Fri 08:30-13:05
Last business day of contract month
Cash
USD
60
2,200
HE
Lean Hogs
CME
Livestock
0.025
10
40000 lbs
Mon-Fri 08:30-13:05
10th business day of contract month
Cash
USD
80
1,800
GF
Feeder Cattle
CME
Livestock
0.025
12.5
50000 lbs
Mon-Fri 08:30-13:05
Last Thursday of contract month
Cash
USD
50
3,200
VX
CBOE Volatility Index (VIX)
CFE
Volatility
0.05
50
1000 x Index
Sun-Fri 17:00-16:00
Wednesday 30 days before 3rd Friday of following month
Cash
USD
40
8,800
BTC
Bitcoin (CME)
CME
Cryptocurrency
5
25
5 BTC
Sun-Fri 17:00-16:00
Last Friday of contract month
Cash
USD
200
55,000
MBT
Micro Bitcoin (CME)
CME
Cryptocurrency
5
0.5
0.1 BTC
Sun-Fri 17:00-16:00
Last Friday of contract month
Cash
USD
200
1,100
ETH
Ether (CME)
CME
Cryptocurrency
0.25
12.5
50 ETH
Sun-Fri 17:00-16:00
Last Friday of contract month
Cash
USD
160
9,000
MET
Micro Ether (CME)
CME
Cryptocurrency
0.05
0.5
0.1 ETH
Sun-Fri 17:00-16:00
Last Friday of contract month
Cash
USD
160
180
ES
E-mini S&P 500
CME
null
null
null
null
null
null
null
null
null
null
NQ
E-mini Nasdaq 100
CME
null
null
null
null
null
null
null
null
null
null
YM
E-mini Dow ($5)
CBOT
null
null
null
null
null
null
null
null
null
null
RTY
E-mini Russell 2000
CME
null
null
null
null
null
null
null
null
null
null
MES
Micro E-mini S&P 500
CME
null
null
null
null
null
null
null
null
null
null
MNQ
Micro E-mini Nasdaq 100
CME
null
null
null
null
null
null
null
null
null
null
MYM
Micro E-mini Dow
CBOT
null
null
null
null
null
null
null
null
null
null
M2K
Micro E-mini Russell 2000
CME
null
null
null
null
null
null
null
null
null
null
NKD
Nikkei 225 (Dollar)
CME
null
null
null
null
null
null
null
null
null
null
EMD
E-mini S&P MidCap 400
CME
null
null
null
null
null
null
null
null
null
null
CL
Crude Oil WTI
NYMEX
null
null
null
null
null
null
null
null
null
null
NG
Natural Gas
NYMEX
null
null
null
null
null
null
null
null
null
null
MCL
Micro WTI Crude Oil
NYMEX
null
null
null
null
null
null
null
null
null
null
RB
RBOB Gasoline
NYMEX
null
null
null
null
null
null
null
null
null
null
HO
Heating Oil
NYMEX
null
null
null
null
null
null
null
null
null
null
QM
E-mini Crude Oil
NYMEX
null
null
null
null
null
null
null
null
null
null
BZ
Brent Crude Oil
NYMEX
null
null
null
null
null
null
null
null
null
null
GC
Gold
COMEX
null
null
null
null
null
null
null
null
null
null
SI
Silver
COMEX
null
null
null
null
null
null
null
null
null
null
HG
Copper
COMEX
null
null
null
null
null
null
null
null
null
null
PL
Platinum
NYMEX
null
null
null
null
null
null
null
null
null
null
PA
Palladium
NYMEX
null
null
null
null
null
null
null
null
null
null
MGC
Micro Gold
COMEX
null
null
null
null
null
null
null
null
null
null
SIL
Micro Silver
COMEX
null
null
null
null
null
null
null
null
null
null
ZC
Corn
CBOT
null
null
null
null
null
null
null
null
null
null
ZS
Soybeans
CBOT
null
null
null
null
null
null
null
null
null
null
ZW
Chicago SRW Wheat
CBOT
null
null
null
null
null
null
null
null
null
null
ZM
Soybean Meal
CBOT
null
null
null
null
null
null
null
null
null
null
ZL
Soybean Oil
CBOT
null
null
null
null
null
null
null
null
null
null
ZO
Oats
CBOT
null
null
null
null
null
null
null
null
null
null
ZR
Rough Rice
CBOT
null
null
null
null
null
null
null
null
null
null
KE
KC Hard Red Winter Wheat
CBOT
null
null
null
null
null
null
null
null
null
null
CT
Cotton No. 2
ICE
null
null
null
null
null
null
null
null
null
null
KC
Coffee C
ICE
null
null
null
null
null
null
null
null
null
null
SB
Sugar No. 11
ICE
null
null
null
null
null
null
null
null
null
null
CC
Cocoa
ICE
null
null
null
null
null
null
null
null
null
null
6E
Euro FX
CME
null
null
null
null
null
null
null
null
null
null
6B
British Pound
CME
null
null
null
null
null
null
null
null
null
null
6J
Japanese Yen
CME
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6A
Australian Dollar
CME
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6C
Canadian Dollar
CME
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End of preview.

CME Group Futures Contract Specifications & Risk Parameters

A comprehensive reference dataset of futures contract specifications and risk parameters covering 55+ contracts across equities, energy, metals, agriculture, currencies, interest rates, livestock, volatility, and cryptocurrency sectors.

Designed as structured input for risk models, position sizing algorithms, backtesting engines, and margin optimization systems.

Description

This dataset consolidates publicly available contract specifications and margin requirements for major futures contracts traded on CME Group exchanges (CME, CBOT, NYMEX, COMEX) and select ICE/CFE contracts. Each record contains the mechanical parameters needed to correctly model a futures position: tick size, tick value, contract multiplier, trading hours, settlement method, and representative margin levels.

The data is curated for direct consumption by quantitative systems that need to translate signal-level decisions into properly sized, margin-aware positions.

Data Sources

All contract specifications are derived from official exchange documentation:

  • CME Group — Contract specification pages at cmegroup.com for ES, NQ, CL, GC, ZB, 6E, and all other CME/CBOT/NYMEX/COMEX products
  • ICE Futures — Contract specs for CT, KC, SB, CC
  • Cboe Futures Exchange (CFE) — VX (VIX futures) specifications

Margin requirements reflect CME Group performance bond requirements and are representative values. Actual margins are set by clearing firms and may differ.

Schema

futures_contracts.csv

Column Type Description
symbol string Standard futures ticker symbol
name string Full contract name
exchange string Listing exchange (CME, CBOT, NYMEX, COMEX, ICE, CFE)
sector string Asset class grouping
tick_size float Minimum price increment
tick_value_usd float Dollar value of one tick move
contract_size string Notional multiplier or deliverable quantity
trading_hours_ct string Regular trading hours in U.S. Central Time
last_trading_day string Rule for determining the last trading day
settlement_type string Cash or Physical delivery
currency string Contract denomination currency
typical_daily_range_ticks int Representative daily range in ticks (approximate)
typical_margin_usd int Representative initial margin in USD

margin_requirements.csv

Column Type Description
symbol string Standard futures ticker symbol (joins to futures_contracts)
name string Full contract name
initial_margin_usd int Exchange initial (performance bond) margin
maintenance_margin_usd int Exchange maintenance margin
day_trade_margin_usd int Reduced intraday margin (broker-dependent)
exchange string Listing exchange
last_updated date Date margins were last verified
notes string Contextual notes on margin behavior

Use Cases

Position Sizing

Calculate maximum position size given account equity and risk tolerance:

max_contracts = floor(account_equity * risk_pct / (tick_value * stop_distance_ticks))

Risk Calculation

Compute dollar risk per contract using tick value and typical daily range:

daily_risk_per_contract = tick_value_usd * typical_daily_range_ticks

Backtesting

Map raw price changes to PnL using contract-specific tick sizes and multipliers. Handle settlement type differences (cash vs. physical) for roll logic.

Margin Optimization

Model portfolio-level margin requirements. Identify margin-efficient alternatives (e.g., MES vs. ES, MCL vs. CL) and cross-margining opportunities within the same exchange.

Cross-Asset Volatility Normalization

Normalize position sizes across asset classes by converting typical daily ranges to common dollar-risk units, enabling apples-to-apples comparison of signals from different sectors.

Update Frequency

Margin requirements are updated periodically to reflect exchange changes. Contract specifications are stable but should be verified against exchange sources before production use. The last_updated field in margin_requirements.csv indicates when margins were last reviewed.

Limitations

  • Margin values are representative. Actual margins are set by individual clearing firms (FCMs) and may be higher than exchange minimums. Day trade margins are particularly variable across brokers.
  • Typical daily ranges are approximate. They represent normal market conditions and will be significantly exceeded during high-volatility events (FOMC, NFP, geopolitical shocks).
  • Trading hours may change. Exchanges periodically adjust hours for holidays and special events. Always verify against the exchange calendar.
  • Not all contracts are included. This dataset covers the most actively traded contracts. Thinly traded or regional contracts are excluded.
  • No intraday data. This is a static reference dataset, not a time series. For dynamic margin monitoring, connect to exchange APIs.
  • ICE and CFE contracts are included for completeness but represent a small subset of those exchanges' full product offerings.

Citation

If you use this dataset in research or production systems, please cite:

@dataset{futures_risk_parameters_2026,
  title={CME Group Futures Contract Specifications & Risk Parameters},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/futures-risk-parameters}
}

License

MIT


Maintained by PropFirmKey.com

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