README.md

---
license: mit
tags:
  - futures
  - risk-management
  - quantitative-finance
  - algorithmic-trading
  - market-data
  - cme-group
  - derivatives
  - financial-engineering
pretty_name: "CME Group Futures Contract Specifications & Risk Parameters"
size_categories:
  - n<1K
task_categories:
  - tabular-regression
  - tabular-classification
---

# 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:

```bibtex
@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

---

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