Learn the Algorithm

This work offers an in-depth explanation of trading strategies in financial markets, with a particular focus on how price delivery algorithms operate within the interbank market. It is intended for traders who wish to go beyond traditional technical analysis and gain a deeper understanding of the algorithmic behaviors that drive market movements.

The book covers a range of advanced topics, including:

Algorithmic Theory: The market is viewed as a zero-sum game, where algorithms exploit liquidity and manipulate trends.

Market Cycles: A detailed analysis of daily and weekly cycles, showing how highs and lows form on specific days.

Trading Sessions: A review of market behavior during major global sessions (Asia, Frankfurt, London, New York) and their impact on trend direction.

Liquidity Concepts: Clarifies ideas such as inducement, imbalance, and orderblocks, and how they are used from an algorithmic perspective.

Manipulation Models: Practical models illustrating liquidity traps and market maker tactics to mislead traders.

Top-Down Analysis: Real-world case studies showing how to analyze the market from higher timeframes down to the micro level to make informed trading decisions.

This reference provides an educational framework for understanding price movement through a purely algorithmic lens and offers actionable strategies for gaining a competitive edge in the market.