In this tutorial, you’ll learn how to build a Python Crypto Trading Bot that predicts Bitcoin prices using Machine Learning! 🚀

We use yfinance to fetch real-time market data and Scikit-Learn’s Random Forest model to generate automated Buy and Sell signals.

👇 Get the Full Source Code (GitHub):
[https://github.com/your-username/crypto-prediction-bot]

⏰ Timestamps:

00: 00 – Intro & Overview

00: 23 – Step 1: Downloading Bitcoin Data (yfinance)

01: 13 – Step 2: Feature Engineering & Indicators

01: 37- Step 3: Sequential Train-Test Split

02: 11 – Step 4: Training the Random Forest Model

02: 39 – Step 5: Predicting Tomorrow’s Price

03: 20 – Step 6: Generating Buy/Sell Signals

💡 What You’ll Learn:

How to fetch financial time-series data using Python

Feature engineering: Moving Averages and Daily Returns

Preventing Lookahead Bias and Data Leakage

Training a Machine Learning Regressor for price forecasting

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#Python #MachineLearning #CryptoBot #Bitcoin #TradingBot #DataScience #ScikitLearn