Build an AI-powered crypto trading bot from scratch. Learn bot architecture, API integration, trading strategies, backtesting, risk management, and deployment. Purely educational — not financial advice. Requires basic programming knowledge.
This lead magnet distills the academy course into a guide-friendly overview so readers can understand the structure, learning path, and practical outcome before entering the full course experience.
What this course covers
AI-Powered Automation: Building a Crypto Trading Bot is organized as a structured learning track with 9 modules and 44 published lessons. It is designed for implementation rather than passive watching, with a stronger focus on execution, clarity, and repeatable skill building.
Learning path
Introduction to Algorithmic Trading and AI
- What is Algorithmic Trading?
- How AI is Changing Trading
- Crypto Market Fundamentals
- What We Will Build: Course Roadmap
- Module Test: Introduction to Algo Trading
Development Environment and Tools
- Python Environment Setup
- Essential Libraries: ccxt, pandas, numpy
- Exchange API Setup (Testnet)
- Your First API Call: Fetching Market Data
- Module Test: Development Environment
Data Collection and Processing
- Collecting Historical Market Data
- Data Cleaning and Preprocessing
- Technical Indicators with Python
- Real-Time Data: WebSockets
- Module Test: Data Collection
Trading Strategy Development
- Strategy Fundamentals: Entry, Exit, and Signal Logic
- Implementing Simple Strategies: SMA Crossover and RSI
- Building a Backtesting Engine
- Backtesting Pitfalls and Overfitting
- Module Test: Trading Strategies
AI and Machine Learning for Trading
- Machine Learning in Trading: Overview
- Building an ML Price Prediction Model
- Sentiment Analysis for Crypto Markets
- Integrating AI Predictions into Your Bot
- Module Test: AI/ML for Trading
Risk Management
- Why Risk Management Is Everything
- Position Sizing and Stop-Loss Strategies
- Drawdown Protection and Circuit Breakers
- Portfolio Diversification for Bots
- Module Test: Risk Management
Bot Architecture and Order Execution
- Designing Bot Architecture
- Order Types and Execution Logic
- State Management and Persistence
- Error Handling and Recovery
- Module Test: Bot Architecture
Deployment, Monitoring, and Operations
- Deployment Options: VPS, Cloud, and Docker
- Monitoring Dashboards and Metrics
- Alerts and Notification Systems
- Operational Best Practices
- Module Test: Deployment and Monitoring
Final Project: Assembling Your Trading Bot
- Assembling the Complete Bot
- Testnet Run: Your First Live Test
- Course Recap and Next Steps
- Final Exam: AI-Powered Automation
Why this matters
Academy-based lead magnets help convert course knowledge into a browsable content surface inside the platform. Instead of burying useful learning paths inside the academy only, they make the educational angle visible in the public guide library.
What next?
- Review the course overview and decide whether the learning path matches your current level.
- Use the lesson map above to identify the fastest entry point into the topic.
- Open the academy course to continue with the full structured material.
