Long-term automated trading systems: how to build and optimize algorithms (Basic)

Category

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.

Whats included in the course?

Module 1: Introduction to automated trading

  1. What is algorithmic trading?
  2. Advantages and challenges of algorithmic strategies
  3. Differences between high-frequency (HFT) and long-term trading systems

Module 2: Core components of a trading algorithm

  1. Data sources: where and how to access market information
  2. Choosing the right trading platform (MetaTrader, NinjaTrader, TradingView, Python scripts)
  3. API integration and connectivity with brokers

Module 3: Developing trading strategies

  1. Trend-following strategies and their application
  2. Counter-trend strategies: trading market reversals
  3. Market anomalies and statistical patterns in algorithmic trading

Module 4: Strategy optimization and risk management

  1. Backtesting algorithms on historical data
  2. Avoiding curve-fitting when optimizing strategies
  3. Using genetic algorithms and machine learning in trading
  4. Risk management techniques in automated trading
  5. 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

Format:

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

£257.04

  • Modules: 4
  • Duration: 18-20 hours
  • List Item #3