optimizer.py

# optimizer.py

class PineScriptOptimizer:
    def __init__(self, script_path):
        self.script_path = script_path
        self.parameters = self.extract_parameters()

    def extract_parameters(self):
        """
        Reads the PineScript indicator files and extracts tunable parameters.
        """
        # Implementation code for extracting parameters.
        parameters = {}
        # Simulate extraction logic
        return parameters

    def backtest_simulation(self, parameter_set):
        """
        Runs backtesting simulation with given parameter set.
        """
        # Implementation code for backtesting.
        results = {}
        # Simulate backtesting logic
        return results

    def optimize_parameters(self, optimization_algorithm='grid_search'):
        """
        Perform optimization testing using the specified algorithm.
        """
        optimized_parameters = {}
        # Implement optimization logic based on the selected algorithm.
        return optimized_parameters

    def generate_optimized_sets(self):
        """
        Generate optimized parameter sets after testing.
        """
        optimized_sets = []
        # Logic for generating optimized parameter sets.
        return optimized_sets

# Example usage:
# optimizer = PineScriptOptimizer('path_to_script.pine')
# optimized_sets = optimizer.generate_optimized_sets()