Algorithmic Trading Bot Development

Jose Acosta

Data Engineer

Matplotlib

pandas

Python

Investment & Asset Management

#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.

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