Source code for portfolio_toolkit.cli.commands.optimization.optimization

import json

import click

from .risk import risk


[docs] def not_implemented(command_name): """Standard message for not implemented commands""" click.echo(f"⚠️ Command '{command_name}' is not implemented yet") click.echo(" This functionality is under development")
[docs] def load_json_file(filepath): """Load and validate JSON file""" try: with open(filepath, "r") as f: return json.load(f) except FileNotFoundError: click.echo(f"Error: File '{filepath}' not found") raise click.Abort() except json.JSONDecodeError: click.echo(f"Error: Invalid JSON in file '{filepath}'") raise click.Abort()
@click.group() def optimization(): """Portfolio optimization commands""" pass @optimization.group() def plot(): """Plot optimization data""" pass @optimization.group() def calc(): """Calculate optimization metrics""" pass @optimization.group() def print(): """Print optimization information""" pass @optimization.group() def optimize(): """Optimize portfolio""" pass @optimization.group() def export(): """Export optimization data""" pass @optimization.group() def backtest(): """Backtest optimization strategies""" pass # Add risk command optimization.add_command(risk) # Plot commands @plot.command() @click.argument("file", type=click.Path(exists=True)) def composition(file): """Plot current portfolio composition (by weight or sector)""" data = load_json_file(file) not_implemented("optimization plot composition") @plot.command() @click.argument("file", type=click.Path(exists=True)) def frontier(file): """Plot efficient frontier (based on variance and expected return)""" data = load_json_file(file) not_implemented("optimization plot frontier") @plot.command("correlation-matrix") @click.argument("file", type=click.Path(exists=True)) def correlation_matrix(file): """Plot correlation matrix between assets""" data = load_json_file(file) not_implemented("optimization plot correlation-matrix") # Calc commands @calc.command() @click.argument("file", type=click.Path(exists=True)) def var(file): """Calculate and show Value at Risk (VaR)""" data = load_json_file(file) not_implemented("optimization calc var") # Print commands @print.command() @click.argument("file", type=click.Path(exists=True)) def sharpe(file): """Show Sharpe ratio for the portfolio""" data = load_json_file(file) not_implemented("optimization print sharpe") @print.command("stats-summary") @click.argument("file", type=click.Path(exists=True)) def stats_summary(file): """Show statistical summary of all assets""" data = load_json_file(file) not_implemented("optimization print stats-summary") @print.command("risk-allocation") @click.argument("file", type=click.Path(exists=True)) def risk_allocation(file): """Show risk contribution by asset""" data = load_json_file(file) not_implemented("optimization print risk-allocation") # Export commands @export.command() @click.argument("file", type=click.Path(exists=True)) def weights(file): """Export current or suggested weights""" data = load_json_file(file) not_implemented("optimization export weights") # Backtest commands @backtest.command("equal-weight") @click.argument("file", type=click.Path(exists=True)) def equal_weight(file): """Simulate how the watchlist would have evolved with equal weights""" data = load_json_file(file) not_implemented("optimization backtest equal-weight")