Financial market – interdisciplinary formation. Ideas from different disciplines: fractal geometry chaos theory theory of self-organization (synergetics) economics physics functional analysis group theory heuristics ... could be combined together in order to build full market axiomatics and create fundamental solutions. Obsoletes: mathematical statistics efficient market hypothesis time series moving averages fractal dimension volumes discreteness of Fibonacci levels linear indicators ... Attractors (from dynamic chaos): points (fractal begin/end - static/dynamic indicators) curves (price retracement level, price limit - dynamic indicators) shapes (fractal boundaries - static indicators) pull and push the price. So it is possible to have statistical advantage in trading. Fractal in theory (Mandelbrot set): Fractal in practice (recent EUR/USD chart): Fractal – hierarchical self-similar structure (some sort of market rebalancing). All fractals have different shape but the same formula. They could be generated by each other (crossed, moving in the same direction) or separated/sequential (as a rule: moving in inverse direction). Any indexes/crosses have the same fundamental rules. It is possible to determine fractal end without delay. All algorithms require starting point as the main (and almost single) parameter (so there is no need to guess). Chaos theory makes no predictions. Multifractal expansion forecast could be performed by the combination of group theory and quantum mechanics.