«Markets are not random walks. They possess memory, a fractal structure, and a multidimensional nature that most people try to understand through overly simplified two-dimensional models»
Benoit Mandelbrot (the father of fractal geometry, who actively studied financial markets)
This article should have been written among the first ones, because it describes the very principle of how we view the market.
Usually, a chart is perceived as a simple two-dimensional line: price moves up, down, or stays in a flat. However, this view greatly oversimplifies reality. In fact, any market chart is only a projection of a much more complex structure.
This is exactly what we are trying to show in our 3D video.
Why a Regular Chart Is Only a Slice
When a person looks at a chart, they see only a two-dimensional representation of a process formed by a huge number of factors simultaneously:
- liquidity,
- actions of large players,
- news,
- macroeconomics,
- speed of participants’ reaction,
- volatility,
- correlations between instruments,
- time,
- market expectations.
In other words, the market is not a “line”. It is a dynamic multidimensional structure that is constantly changing over time.
The video with the constructions shown below is only a simplified projection of this structure — one that is accessible to human three-dimensional perception. The structure itself is multidimensional.
Yet even this — just one additional dimension — should already make you think about the far more complex nature of market processes.
Why This Matters
If you perceive the market as a simple line, many phenomena begin to look like chaos:
- false breakouts,
- sharp reversals,
- unexpected volatility,
- “illogical” price behavior.
But if you imagine the market as a multidimensional surface, it becomes clear: price does not move randomly — it passes through a complex structure of probabilities and resistances.
This is exactly what our video illustrates. In it you can see that:
- the overall trend is not always obvious,
- the structure is constantly deforming,
- local movements can distort the perception of the global direction,
- market movement resembles passing through complex terrain rather than moving along a straight line.
Why We Are Careful with Classic Stop-Losses
A stop-loss is a useful risk management tool. However, the problem is that it is most often set based only on a two-dimensional view of the chart.
This is similar to trying to assess the shape of an ocean wave from a narrow image on a phone screen.
When the structure is multidimensional, overly rigid boundaries can become a crude simplification.
That is why for us the following is much more important:
- understanding the context,
- the probabilistic structure of movement,
- system behavior statistics,
- analysis of the development of the market structure itself.
The Role of AI Here
The main problem is not whether the market structure exists, but whether a human is able to fully analyze it on their own.
At the institutional level, entire teams do this:
- analysts,
- risk managers,
- volatility specialists,
- quantitative researchers,
- macroeconomists.
Each of them essentially analyzes a separate “dimension” of the market.
AI allows combining such analysis within a single system.
We do not view AI as a “magic predictor”. For us, it is a tool for processing and interpreting the multidimensional structure of the market, which is inaccessible to ordinary human visual perception.
Conclusion
Every time you look at a chart, it is important to remember:
you are not seeing the market itself, but only a simplified slice of a much more complex structure.
This is exactly why:
- the market often seems illogical,
- simple models regularly break,
- and statistics along with multidimensional analysis become much more important than intuitive guesses.
Perhaps the future of trading lies in AI replacing an entire team of analytical resources.
AI does not create something entirely NEW — it simply expands the capabilities of what already exists, making it available to a much wider audience, whereas previously it was accessible only to a narrow circle of players, and required enormous resources.
