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.
