# 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?"
)
```
Raw data
{
"_id": null,
"home_page": null,
"name": "llama-index-packs-stock-market-data-query-engine",
"maintainer": "anoopshrma",
"docs_url": null,
"requires_python": "<4.0,>=3.9",
"maintainer_email": null,
"keywords": "data, engine, finance, market, query, stock, yahoo, yahoo finance",
"author": null,
"author_email": "Your Name <you@example.com>",
"download_url": "https://files.pythonhosted.org/packages/44/a0/3b9a334a545fa0884e1683157c787cc7f163f441009b9ca1e118278fbbfc/llama_index_packs_stock_market_data_query_engine-0.5.0.tar.gz",
"platform": null,
"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",
"bugtrack_url": null,
"license": null,
"summary": "llama-index packs stock_market_data_query_engine integration",
"version": "0.5.0",
"project_urls": null,
"split_keywords": [
"data",
" engine",
" finance",
" market",
" query",
" stock",
" yahoo",
" yahoo finance"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "359beedeed39e80eb31e85e0c29d891db947b6f4b3edd1f5882399c46ada0b15",
"md5": "15cebeb8e2816a4b9440d69bfbbe844e",
"sha256": "f221e9a4587a55244db9d834348d81f669234760f498c8b902c06bc2c57f2211"
},
"downloads": -1,
"filename": "llama_index_packs_stock_market_data_query_engine-0.5.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "15cebeb8e2816a4b9440d69bfbbe844e",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.9",
"size": 4403,
"upload_time": "2025-07-30T21:29:37",
"upload_time_iso_8601": "2025-07-30T21:29:37.971771Z",
"url": "https://files.pythonhosted.org/packages/35/9b/eedeed39e80eb31e85e0c29d891db947b6f4b3edd1f5882399c46ada0b15/llama_index_packs_stock_market_data_query_engine-0.5.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "44a03b9a334a545fa0884e1683157c787cc7f163f441009b9ca1e118278fbbfc",
"md5": "b4341dc2f879fbebd916f0729c10522a",
"sha256": "c11b604a48484e3dffeca7b6d183a76290332bb2756ff044ff48feb364f31955"
},
"downloads": -1,
"filename": "llama_index_packs_stock_market_data_query_engine-0.5.0.tar.gz",
"has_sig": false,
"md5_digest": "b4341dc2f879fbebd916f0729c10522a",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.9",
"size": 4603,
"upload_time": "2025-07-30T21:29:38",
"upload_time_iso_8601": "2025-07-30T21:29:38.894846Z",
"url": "https://files.pythonhosted.org/packages/44/a0/3b9a334a545fa0884e1683157c787cc7f163f441009b9ca1e118278fbbfc/llama_index_packs_stock_market_data_query_engine-0.5.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-30 21:29:38",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "llama-index-packs-stock-market-data-query-engine"
}