Automated trading strategies: creating, testing, and managing bots (Basic)

This course is designed for traders who want to automate their trading using algorithmic strategies. You will learn how trading bots function, the essential tools required for their development, and how to test and optimize strategies for real market conditions.

Automated trading minimizes emotional mistakes and ensures disciplined execution. This course will guide you in developing, testing, and deploying trading algorithms using platforms like MetaTrader, TradingView, and Python-based solutions.

What’s included in the course?

Module 1: Introduction to algorithmic trading

1. What is algorithmic trading, and why is it valuable?
2. How automated strategies enhance trading performance
3. Differences between high-frequency trading (HFT) and long-term algorithmic strategies
4. Examples of successful automated trading systems

Module 2: Building a basic trading bot

1. Core components of an algorithmic trading system
2. Market data sources: APIs, price feeds, and data processing
3. Choosing the right platform: MetaTrader, TradingView, Python
4. Writing and testing a basic trading algorithm

Module 3: Strategy development and backtesting

1. How to define trading rules: trend-following vs. counter-trend strategies
2. Selecting indicators: moving averages (SMA, EMA), MACD, RSI, Bollinger Bands
3. Importance of backtesting: testing strategies on historical data
4. Avoiding overfitting and optimizing strategies for real-world conditions

Module 4: Deploying automated trading strategies

1. Connecting a trading bot to a broker or exchange
2. Differences between demo and live trading environments
3. Managing risk in algorithmic trading
4. Real-world case studies of deployed strategies

Module 5: Monitoring and optimizing your trading algorithm

1. Tracking bot performance and market adaptation
2. Using logs, alerts, and automated monitoring tools
3. Handling unexpected market movements and algorithm failures
4. Adjusting strategies to evolving market conditions

What you will learn:
✅ Develop automated trading algorithms from scratch
✅ Conduct backtesting and avoid overfitting strategies
✅ Optimize bots for different market conditions
✅ Deploy and manage algorithmic systems in live markets
✅ Monitor, analyze, and refine trading algorithms

Who is this course for?
✔ Traders looking to automate their trading strategies
✔ Investors aiming to reduce emotional bias in decision-making
✔ Developers interested in building trading bots
✔ Anyone wanting to use algorithmic trading for forex, stocks, or crypto markets

Format:

• Self-paced learning materials (PDF format)
• Practical coding examples and backtesting exercises
• No prior programming experience required