# Stock Market Data Query Engine Pack
Query and retrieve historical market data for a list of stock tickers. It utilizes Yahoo Finance [(yfinance)](https://pypi.org/project/yfinance/) to fetch historical stock prices.
## CLI Usage
You can download llamapacks directly using `llamaindex-cli`, which comes installed with the `llama-index` python package:
```bash
llamaindex-cli download-llamapack StockMarketDataQueryEnginePack --download-dir ./stock_market_data_pack
```
You can then inspect the files at `./stock_market_data_pack` and use them as a template for your own project.
## Code Usage
You can download the pack to a the `./stock_market_data_pack` directory:
```python
from llama_index.core.llama_pack import download_llama_pack
# download and install dependencies
StockMarketDataQueryEnginePack = download_llama_pack(
"StockMarketDataQueryEnginePack", "./stock_market_data_pack"
)
```
From here, you can use the pack, or inspect and modify the pack in `./stock_market_data_pack`.
Then, you can set up the pack like so:
```python
# create the pack
stock_market_data_pack = StockMarketDataQueryEnginePack(
["MSFT"],
period="1mo",
)
```
The `run()` function is a light wrapper around `query_engine.query()`.
```python
response = stock_market_data_pack.run(
"What is the average closing price for MSFT?"
)
```
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"description": "# Stock Market Data Query Engine Pack\n\nQuery and retrieve historical market data for a list of stock tickers. It utilizes Yahoo Finance [(yfinance)](https://pypi.org/project/yfinance/) to fetch historical stock prices.\n\n## CLI Usage\n\nYou can download llamapacks directly using `llamaindex-cli`, which comes installed with the `llama-index` python package:\n\n```bash\nllamaindex-cli download-llamapack StockMarketDataQueryEnginePack --download-dir ./stock_market_data_pack\n```\n\nYou can then inspect the files at `./stock_market_data_pack` and use them as a template for your own project.\n\n## Code Usage\n\nYou can download the pack to a the `./stock_market_data_pack` directory:\n\n```python\nfrom llama_index.core.llama_pack import download_llama_pack\n\n# download and install dependencies\nStockMarketDataQueryEnginePack = download_llama_pack(\n \"StockMarketDataQueryEnginePack\", \"./stock_market_data_pack\"\n)\n```\n\nFrom here, you can use the pack, or inspect and modify the pack in `./stock_market_data_pack`.\n\nThen, you can set up the pack like so:\n\n```python\n# create the pack\nstock_market_data_pack = StockMarketDataQueryEnginePack(\n [\"MSFT\"],\n period=\"1mo\",\n)\n```\n\nThe `run()` function is a light wrapper around `query_engine.query()`.\n\n```python\nresponse = stock_market_data_pack.run(\n \"What is the average closing price for MSFT?\"\n)\n```\n",
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