Simulator

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Simulator Project

This project simulates trading strategies on stock market data using Python. It includes a modular design with the following main components:

• Market: Handles market data loading and iteration.
• Portfolio: Manages cash, positions, and stop-loss logic.
• Strategy: Implements trading strategies (e.g., Moving Average, Buy and Hold, Momentum).
• Simulator: Orchestrates the simulation, connecting the market, portfolio, and strategy.
• Visualizer: (Optional) Provides a GUI for running and visualizing simulations.

Requirements

• Python 3.7+
• pandas
• numpy
• tkinter (for GUI)

Install dependencies with:

pip install pandas numpy

Usage

Run the simulator with the GUI:

python Simulator.py

File Structure

• Simulator.py: Main simulation runner and entry point.
• Market.py: Market data handling.
• Portfolio.py: Portfolio management.
• Strategy.py: Trading strategies.
• Visualizer.py: GUI visualization (requires tkinter).

Customization

• Add or modify strategies in Strategy.py.
• Change tickers, intervals, or simulation parameters in Simulator.py or via the GUI.

License

MIT License.

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