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### Instruction:
generate OpenBB SDK prompt for Calculate beta for a given ticker and a reference ticker.,
Fields: symbol, ref_symbol, data (optional), ref_data (optional), interval
Example: openbb.stocks.qa.beta(symbol='AAPL', ref_symbol='SPY', interval=1440)
### Response:
openbb.stocks.qa.beta(symbol: str, ref_symbol: str, data: Optional[pd.DataFrame] = None, ref_data: Optional[pd.DataFrame] = None, interval: int = 1440) |
### Instruction:
generate OpenBB SDK prompt for Generate plots for auto and partial auto-correlation of returns.,
Fields: symbol, data (optional), lags (optional), interval
Example: openbb.stocks.qa.plot_autocorrelation(symbol='AAPL', lags=20, interval=1440)
### Response:
openbb.stocks.qa.plot_autocorrelation(symbol: str, data: Optional[pd.DataFrame] = None, lags: int = 20, interval: int = 1440) |
### Instruction:
generate OpenBB SDK prompt for Calculate the rolling average of returns for a given ticker.,
Fields: symbol, data (optional), window (optional), interval
Example: openbb.stocks.qa.rolling_average(symbol='AAPL', window=10, interval=1440)
### Response:
openbb.stocks.qa.rolling_average(symbol: str, data: Optional[pd.DataFrame] = None, window: int = 10, interval: int = 1440) |
### Instruction:
generate OpenBB SDK prompt for Calculate the cumulative returns for a given ticker.,
Fields: symbol, data (optional), interval
Example: openbb.stocks.qa.cumulative_returns(symbol='AAPL', interval=1440)
### Response:
openbb.stocks.qa.cumulative_returns(symbol: str, data: Optional[pd.DataFrame] = None, interval: int = 1440) |
### Instruction:
generate OpenBB SDK prompt for Retrieve historical price data for a given ticker.,
Fields: symbol, start_date, end_date, interval
Example: openbb.stocks.qa.get_historical_data(symbol='AAPL', start_date='2023-01-01', end_date='2023-11-23', interval=1440)
### Response:
openbb.stocks.qa.get_historical_data(symbol: str, start_date: str, end_date: str, interval: int = 1440) |
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