README.md

---
language:
- en
license: apache-2.0
task_categories:
- time-series-forecasting
- text-generation
tags:
- finance
- portfolio-management
- multi-asset
- benchmark
- market-data
- macroeconomics
size_categories:
- 10M<n<100M
---

[![Paper](https://img.shields.io/badge/arXiv-2605.27887-b31b1b)](https://arxiv.org/abs/2605.27887)
[![Code](https://img.shields.io/badge/GitHub-PortBench-blue)](https://github.com/AgenticFinLab/portbench)

# PortBench Market Base Dataset

## Dataset Description

A ten-year (Jan 2015–Dec 2025) daily financial dataset covering **183 instruments** across six heterogeneous asset classes, designed for multi-asset portfolio management research and LLM evaluation.

### Asset Coverage

| Asset Class | Instruments | Data Fields | Sources |
|-------------|-------------|-------------|---------|
| Equities | 126 | OHLCV + return | Yahoo Finance (ETFs: broad market, sector, factor, international) |
| Bonds | 16 | Close + return (ETFs); yield levels (FRED) | Yahoo Finance, FRED |
| Commodities | 16 | OHLCV + return | Yahoo Finance, Kaggle (spot prices) |
| Real Estate | 10 | OHLCV + return (REITs); housing indices (FRED) | Yahoo Finance, FRED |
| Cryptocurrency | 12 | OHLCV + return | Yahoo Finance, Kaggle (market cap, supply) |
| Cash | 4 | Close + return (money market ETFs); macro indicators (FRED) | Yahoo Finance, FRED |

### Additional Features

- **Macroeconomic indicators** (FRED): Fed funds rate, CPI, unemployment, GDP, yield curve spreads, breakeven inflation, credit spreads, mortgage rates, VIX, and 40+ additional series
- **News text**: monthly aggregated financial news for equities and cryptocurrency (JSON-encoded columns)
- **Cross-asset correlation structures**: intra-class and inter-class correlation matrices available as companion artifacts

### Dataset Structure

Single CSV file with 4,017 rows (trading days) × 1,087 columns.

Column naming convention: `{asset_class}_{ticker}_{field}`

```
date,equities_ACWI_open,equities_ACWI_high,...,bonds_FRED_DGS10,...,cash_FRED_FEDFUNDS,...
2015-01-02,52.34,52.45,...,2.17,...,0.11,...
...
2025-12-31,...
```

Fields per instrument (where applicable): `open`, `high`, `low`, `close`, `volume`, `return`

### Temporal Coverage

- **Full range**: 2015-01-02 to 2025-12-31
- **Frequency**: Daily (trading days)
- **Three stress windows highlighted**: 2015 China Shock (Aug 2015–Feb 2016), 2020 COVID Crash (Feb–May 2020), 2022 Crypto Collapse (May–Dec 2022)

### Intended Use

This dataset serves as the foundation for PortBench's dual-layer evaluation. It supports:
- Static QA generation for financial reasoning tasks
- Dynamic five-stage pipeline evaluation with realistic market replay
- Stress testing under historical crisis regimes
- Cross-asset correlation analysis and portfolio optimization research

### Point-in-Time (PiT) Constraint

All features strictly respect temporal integrity — no look-ahead bias. Any derived feature uses only information available at or before the corresponding date.