Update docker workflow and README

Author: cjdsellers

.github/workflows/build.yml

@@ -61,6 +61,10 @@ jobs:
         with:
           persist-credentials: false
 
+      - name: Set up QEMU
+        # https://github.com/docker/setup-qemu-action
+        uses: docker/setup-qemu-action@29109295f81e9208d7d86ff1c6c12d2833863392 # v3.6.0
+
       - name: Set up Docker Buildx
         # https://github.com/docker/setup-buildx-action
         uses: docker/setup-buildx-action@e468171a9de216ec08956ac3ada2f0791b6bd435 # v3.11.1
@@ -86,7 +90,8 @@ jobs:
         with:
           context: .
           file: Dockerfile
-          platforms: linux/amd64
+          # Multi-platform on push, single platform on PR (--load only supports one platform)
+          platforms: ${{ github.event_name == 'push' && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
           push: ${{ github.event_name == 'push' }}
           tags: ghcr.io/${{ github.repository }}:${{ steps.branch-name.outputs.current_branch }}
           cache-from: type=gha

README.md

@@ -0,0 +1,45 @@
+# nautilus_data
+
+Example market data for use with NautilusTrader.
+
+## Installation
+
+```bash
+uv pip install nautilus_data
+```
+
+## Requirements
+
+- Python 3.13+
+- NautilusTrader 1.220.0+
+
+## Usage
+
+This package provides sample market data that can be used for backtesting and development with the NautilusTrader platform.
+
+## Data
+
+The package includes historical foreign exchange (FX) tick data:
+
+- **EUR/USD** - January 2020 tick-level bid/ask quotes
+- Format: CSV compressed with gzip.
+- Source: Publicly available FX market data.
+
+### Loading data into a catalog
+
+```python
+from nautilus_data.hist_data_to_catalog import load_data
+
+# Load historical data into your NautilusTrader catalog
+load_data()
+```
+
+## Structure
+
+- `catalog/` - Pre-processed data catalog files (once `hist_data_to_catalog.py` is run).
+- `raw_data/` - Raw historical data files.
+- `bench_data/` - Benchmark data for performance testing.
+
+## More Information
+
+For more information about NautilusTrader, visit [nautechsystems.io](https://nautechsystems.io).