Moving Average Crossover Trading Bot

Overview

This repository contains the code for a trading bot developed to execute quant strategies based on Moving Average Crossover. The bot utilizes historical market data to backtest and implement trading signals derived from the crossover of moving averages. The primary goal is to assess the performance of the trading strategy across various stocks and manage profit and loss (PNL) generated from executing quant strategies.

Features

• Utilizes historical market data to develop and backtest trading strategies.
• Implements buy and sell signals based on Moving Average Crossover.
• Monitors profit and loss (PNL) generated from executing quant strategies.

Technologies Used

• Python
• Pandas
• NumPy
• Matplotlib
• Jupyter Notebook

Usage

1. Clone the repository to your local machine.
2. Run the Jupyter Notebook trading_bot.ipynb to explore the code and execute the trading strategy.
3. Modify parameters and customize the strategy as needed for your trading preferences.