get_stock_actions
Retrieve historical stock dividend and split data by providing a stock ticker. This tool extracts detailed corporate action records from Yahoo Finance for informed investment analysis.
Instructions
获取股票的分红与拆股历史。
参数说明： ticker: str 股票代码，例如 "AAPL"
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes |
Implementation Reference
- server.py:190-198 (registration)Tool registration using @fmp_server.tool decorator, specifying name and description with input schema implied.@fmp_server.tool( name="get_stock_actions", description="""获取股票的分红与拆股历史。 参数说明： ticker: str 股票代码，例如 "AAPL" """, )
- server.py:199-229 (handler)The core handler function that retrieves historical stock dividends and splits from the Financial Modeling Prep API using requests and pandas, returning JSON data.async def get_stock_actions(ticker: str) -> str: """Get stock dividends and stock splits for a given ticker symbol""" api_key = os.environ.get("FMP_API_KEY") if not api_key: return "Error: FMP_API_KEY environment variable not set." base = "https://financialmodelingprep.com/api/v3" try: div_resp = requests.get( f"{base}/historical-price-full/stock_dividend/{ticker}", params={"apikey": api_key}, timeout=10, ) div_resp.raise_for_status() div_df = pd.DataFrame(div_resp.json().get("historical", [])) split_resp = requests.get( f"{base}/historical-price-full/stock_split/{ticker}", params={"apikey": api_key}, timeout=10, ) split_resp.raise_for_status() split_df = pd.DataFrame(split_resp.json().get("historical", [])) except Exception as e: return f"Error: getting stock actions for {ticker}: {e}" return json.dumps( { "dividends": div_df.to_dict("records"), "splits": split_df.to_dict("records"), } )