Technical Analysis

def obb.technical.fib(
    data: str,
    provider: str = None,
    **kwargs
) -> ResponseObject:
    """
    Create Fibonacci Retracement Levels.
    
    Parameters:
    - data: Input price data
    - provider: Data provider to use
    
    Returns:
    ResponseObject with Fibonacci retracement levels
    """

def obb.technical.demark(
    data: str,
    provider: str = None,
    **kwargs
) -> ResponseObject:
    """
    Calculate the Demark sequential indicator.
    
    Parameters:
    - data: Input price data
    - provider: Data provider to use
    
    Returns:
    ResponseObject with Demark sequential data
    """

def obb.technical.relative_rotation(
    data: str,
    provider: str = None,
    **kwargs
) -> ResponseObject:
    """
    Calculate the Relative Strength Ratio and Relative Strength Momentum.
    
    Parameters:
    - data: Input price data
    - provider: Data provider to use
    
    Returns:
    ResponseObject with relative rotation data
    """

def obb.technical.atr(
    data: str,
    provider: str = None,
    **kwargs
) -> ResponseObject:
    """
    Calculate the Average True Range.
    
    Parameters:
    - data: Input price data
    - provider: Data provider to use
    
    Returns:
    ResponseObject with Average True Range values
    """

def obb.technical.cg(
    data: str,
    provider: str = None,
    **kwargs
) -> ResponseObject:
    """
    Calculate the Center of Gravity.
    
    Parameters:
    - data: Input price data
    - provider: Data provider to use
    
    Returns:
    ResponseObject with Center of Gravity values
    """

def obb.technical.clenow(
    data: str,
    provider: str = None,
    **kwargs
) -> ResponseObject:
    """
    Calculate the Clenow Volatility Adjusted Momentum.
    
    Parameters:
    - data: Input price data
    - provider: Data provider to use
    
    Returns:
    ResponseObject with Clenow momentum values
    """

def obb.technical.aroon(
    data: str,
    provider: str = None,
    **kwargs
) -> ResponseObject:
    """
    Calculate the Aroon Indicator.
    
    Parameters:
    - data: Input price data
    - provider: Data provider to use
    
    Returns:
    ResponseObject with Aroon indicator values
    """

def obb.technical.macd(
    data: str,
    provider: str = None,
    **kwargs
) -> ResponseObject:
    """
    Calculate the Moving Average Convergence Divergence (MACD).
    
    Parameters:
    - data: Input price data
    - provider: Data provider to use
    
    Returns:
    ResponseObject with MACD values
    """

# Quantitative module provides quantitative analysis tools
# Note: Specific quantitative functions depend on available implementations
# Common quantitative analysis capabilities include:
# - Statistical analysis and metrics
# - Risk analysis and value-at-risk calculations
# - Performance attribution analysis
# - Portfolio optimization tools
# - Factor analysis and modeling
# - Correlation and covariance analysis

from openbb import obb

# Calculate MACD indicator
macd_data = obb.technical.macd(data="price_data")
macd_df = macd_data.to_dataframe()

# Calculate ATR (Average True Range)
atr_data = obb.technical.atr(data="price_data")
atr_df = atr_data.to_dataframe()

# Calculate Fibonacci retracement levels
fib_data = obb.technical.fib(data="price_data")
fib_df = fib_data.to_dataframe()

# Access quantitative analysis tools
# (Specific quantitative functions available in the quantitative module)
# Example usage pattern would be similar to other modules

# Calculate technical indicators for stocks
# Perform statistical analysis on price data
# Generate trading signals and alerts