Over the years, multiple theories have emerged aimed at organizing the complex structure of financial markets. Despite these efforts, investors and traders alike remain unable to reach a unified understanding of market behavior that would enable the straightforward and accurate extrapolation of prices.
For this reason, it is necessary to look at the financial system through a new lens, one devoid of subjectivity.
It has been a long established fact that retail traders lose about 80%-90% of the time, and end up blowing their account in the first few months of trading.
From these statistics, we can derive coherent logic. If the markets are “random” or “unpredictable”, retail traders would have a 50/50 chance of winning.
Which brings the idea that there exists a hidden force, that micro-manages the markets across all timeframes. This force is then responsible for shifting the scales against the retail trader.
Such forces have been called “Smart Money”, “The Algorithm”, “Big Banks” and so on. They have existed for centuries, since the beginning of markets.
While the market consists of many hidden variables, the psychology of masses is roughly the same. Therefore by analyzing the crowd mentality, a behavioral model of how the average trader reacts to information can be derived.
Such a model can then be used to shift the probabilities in your favor, leveraging the 80% loss rate of the majority into a 80% win rate of the minority.
This is where the Hawk Liquidation Theory arises, a general psychological framework that explains the intricacies of what causes retail traders to take actions. Through the understanding of causes, the effect can be predicted with a high degree of accuracy at any point of the market state.