Crypto Trading Algorithm

📌 Overview

GO READ ME ARTICLE HERE = https://blog.michaelrbparker.com/post/9

This repository contains a Python-based crypto trading algorithm that utilizes technical indicators such as Simple Moving Average (SMA), Exponential Moving Average (EMA), and Moving Average Convergence Divergence (MACD). The algorithm is designed to analyze Bitcoin (BTC) price data from the Kraken API and simulate buy/sell signals based on crossover strategies.

🚀 Features

• 📊 Fetches real-time BTC price data from Kraken API.
• 📈 Implements SMA and EMA crossover strategies.
• 🔀 Uses MACD for momentum trading signals.
• 📉 Visualizes trading signals using Matplotlib.
• 🏦 Simulates buying and selling to analyze profitability.

Install Dependencies

pip install -r requirments.txt

Strategy Explanation

Simple Moving Average (SMA) Crossover

• Buy Signal: Short-term SMA crosses above long-term SMA.
• Sell Signal: Short-term SMA crosses below long-term SMA.

Exponential Moving Average (EMA) Crossover

• Reacts faster to price changes than SMA.
• Used for shorter timeframes.

MACD (Moving Average Convergence Divergence)

• Buy: MACD line crosses above the signal line.
• Sell: MACD line crosses below the signal line.
• Histogram indicates trend strength.

Contact.

I have a discord? https://discord.gg/2SZm46Jevq