Algorithmic Trading Bot Development

Jose

Jose Acosta

#AlgorithmicTradingBot
This project implements an algorithmic trading bot that uses the Moving Average Crossover strategy to trade the stock market.

Project Structure

algo_bot/
├── core/
│ ├── data_loader.py # Loading historical data
│ ├── strategy.py # Strategy implementation
│ ├── backtester.py # Backtesting and evaluation
│ └── visualizer.py # Results visualization
├── main.py # Main entry point
└── requirements.txt # Project dependencies

Features

Moving average crossover strategy (7- and 20-period SMA)
Backtesting with historical data from Yahoo Finance
Performance metrics:
Annualized return
Annualized volatility
Sharpe ratio
Maximum drawdown
Visualization Signals and Cumulative Returns

Installation

Clone the repository:
git clone https://github.com/josetraderx/algo_bot.git
cd algo_bot
Install dependencies:
pip install -r requirements.txt

Usage

To run the bot:
python main.py
This will generate:
Strategy chart with buy/sell signals
Cumulative return chart
Performance metrics in the console

Technologies

Python
Pandas: Data manipulation
yfinance: Downloading historical data
matplotlib: Visualizing results
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Posted Oct 7, 2025

Implemented an algorithmic trading bot using Moving Average Crossover strategy.