developerh/test

1text2"### Instruction:3 generate OpenBB SDK prompt for Calculate beta for a given ticker and a reference ticker., 4 Fields: symbol, ref_symbol, data (optional), ref_data (optional), interval 5 Example: openbb.stocks.qa.beta(symbol='AAPL', ref_symbol='SPY', interval=1440)6 7 ### Response:8openbb.stocks.qa.beta(symbol: str, ref_symbol: str, data: Optional[pd.DataFrame] = None, ref_data: Optional[pd.DataFrame] = None, interval: int = 1440)"9"### Instruction:10 generate OpenBB SDK prompt for Generate plots for auto and partial auto-correlation of returns., 11 Fields: symbol, data (optional), lags (optional), interval 12 Example: openbb.stocks.qa.plot_autocorrelation(symbol='AAPL', lags=20, interval=1440)13 14 ### Response:15openbb.stocks.qa.plot_autocorrelation(symbol: str, data: Optional[pd.DataFrame] = None, lags: int = 20, interval: int = 1440)"16"### Instruction:17 generate OpenBB SDK prompt for Calculate the rolling average of returns for a given ticker., 18 Fields: symbol, data (optional), window (optional), interval 19 Example: openbb.stocks.qa.rolling_average(symbol='AAPL', window=10, interval=1440)20 21 ### Response:22openbb.stocks.qa.rolling_average(symbol: str, data: Optional[pd.DataFrame] = None, window: int = 10, interval: int = 1440)"23"### Instruction:24 generate OpenBB SDK prompt for Calculate the cumulative returns for a given ticker., 25 Fields: symbol, data (optional), interval 26 Example: openbb.stocks.qa.cumulative_returns(symbol='AAPL', interval=1440)27 28 ### Response:29openbb.stocks.qa.cumulative_returns(symbol: str, data: Optional[pd.DataFrame] = None, interval: int = 1440)"30"### Instruction:31 generate OpenBB SDK prompt for Retrieve historical price data for a given ticker., 32 Fields: symbol, start_date, end_date, interval 33 Example: openbb.stocks.qa.get_historical_data(symbol='AAPL', start_date='2023-01-01', end_date='2023-11-23', interval=1440)34 35 ### Response:36openbb.stocks.qa.get_historical_data(symbol: str, start_date: str, end_date: str, interval: int = 1440)"37