Long-term automated trading systems: how to build and optimize algorithms (Basic)
This course is designed for traders and investors looking to automate their trading using algorithmic strategies. You will learn how trading bots work, which parameters affect strategy efficiency, and how to test and optimize algorithms for long-term success.
Algorithmic trading eliminates emotional bias in decision-making, allowing for systematic and disciplined execution. This course provides the knowledge to develop, analyze, and optimize trading systems while minimizing risk.
What’s included in the course?
Module 1: Introduction to automated trading
What is algorithmic trading?
Advantages and challenges of algorithmic strategies
Differences between high-frequency (HFT) and long-term trading systems
Module 2: Core components of a trading algorithm
Data sources: where and how to access market information
Choosing the right trading platform (MetaTrader, NinjaTrader, TradingView, Python scripts)
Market anomalies and statistical patterns in algorithmic trading
Module 4: Strategy optimization and risk management
Backtesting algorithms on historical data
Avoiding curve-fitting when optimizing strategies
Using genetic algorithms and machine learning in trading
Risk management techniques in automated trading
Deploying trading algorithms in live markets
What you will learn:
✅ Develop and test automated trading algorithms
✅ Use algorithmic strategies for long-term investing
✅ Optimize trading bot parameters for maximum efficiency
✅ Implement risk management in automated trading
✅ Deploy trading algorithms in real market conditions
Who is this course for?
✔ Investors looking to automate their trading
✔ Traders who want to reduce emotional bias in decision-making
✔ Developers interested in algorithmic trading strategies
✔ Anyone who wants to build and deploy trading bots