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Code Reorganization Summary

What Was Done

The original monolithic Momentum Long + Short Strategy.py file has been completely reorganized into a clean, modular structure following SOLID principles and best practices.

File Migrations

From: strategy/Momentum Long + Short Strategy.py

To: Multiple focused modules

📁 models/

  • strategy_params.py - StrategyParams dataclass
  • trade_result.py - TradeResult dataclass

📁 indicators/

  • base.py - Abstract base classes and protocols
  • moving_averages.py - ExponentialMovingAverage, SimpleMovingAverage, MovingAverageFactory
  • momentum.py - RelativeStrengthIndex
  • volatility.py - AverageTrueRange
  • trend.py - AverageDirectionalIndex
  • calculator.py - TechnicalIndicatorCalculator service

📁 signals/

  • signal_generator.py - SignalGenerator class

📁 trading/

  • trade_simulator.py - TradeSimulator class

📁 strategy/

  • momentum_strategy.py - Main MomentumStrategy orchestrator class

Benefits of New Structure

1. Single Responsibility Principle

  • Each class now has one clear, focused responsibility
  • Easy to test and maintain individual components

2. Modularity

  • Components can be used independently
  • Easy to extend or replace individual parts

3. Testability

  • Each module can be unit tested in isolation
  • Clear interfaces make mocking easier

4. Reusability

  • Indicators can be used in other strategies
  • Signal generators can be swapped or combined

5. Maintainability

  • Changes to one component don't affect others
  • Clear package structure makes navigation easy

6. Type Safety

  • Better IDE support with proper imports
  • Clear typing throughout the codebase

Usage Examples

Before (Monolithic)

# Everything in one large file
from strategy import MomentumStrategy

After (Modular)

# Use complete strategy
from strategy import create_default_strategy

# Or use individual components
from models import StrategyParams
from indicators import TechnicalIndicatorCalculator
from signals import SignalGenerator
from trading import TradeSimulator

# Or mix and match as needed
from indicators import RelativeStrengthIndex, ExponentialMovingAverage
from models import TradeResult

Package Dependencies

The new structure maintains clean dependency flow:

  • models/ - No dependencies (pure data)
  • indicators/ - Depends on models/
  • signals/ - Depends on models/
  • trading/ - Depends on models/
  • strategy/ - Depends on all other packages

This creates a clean dependency graph with no circular dependencies.

Files Created

New Package Files

  • /models/__init__.py
  • /models/strategy_params.py
  • /models/trade_result.py
  • /indicators/__init__.py
  • /indicators/base.py
  • /indicators/moving_averages.py
  • /indicators/momentum.py
  • /indicators/volatility.py
  • /indicators/trend.py
  • /indicators/calculator.py
  • /signals/__init__.py
  • /signals/signal_generator.py
  • /trading/__init__.py
  • /trading/trade_simulator.py
  • /__init__.py (root package)
  • /demo.py (usage examples)

Modified Files

  • /strategy/__init__.py - Updated imports
  • /strategy/Momentum Long + Short Strategy.py → /strategy/momentum_strategy.py (renamed and cleaned)
  • /README.md - Updated documentation

Next Steps

The modular structure is now ready for:

  1. Adding unit tests for each component
  2. Implementing additional indicators in their respective modules
  3. Creating new signal generation strategies
  4. Building optimization and backtesting engines
  5. Adding web dashboard or GUI components

Each new feature can be added to the appropriate package without affecting existing code.