We build individual strategies for our clients from the bottom up. We also offer to test and refine any existing strategies that you currently use, both algorithmic and discretionary, in any financial market. We offer you a complete 360 degree view of the strengths and weaknesses of any existing strategy, as well as complete statistical expectancies of your strategy's future profitability. We also offer our complete guidelines and coaching assistance for keeping with your strategies through the highs and lows of rapidly changing markets and changing volatility.
We believe the most important effect, and the biggest gain to our approach, is that it will empower you to flawlessly place your trades without fear or uncertainty. The strategy parameters, framework and executions will be your proven and trusted "playbook" and you will have a play for every strategy you may want to trade. That familiar sneaky feeling of fear and growing uncertainty will be removed and fully replaced by a statistical knowledge and trust in a probabilistic outcome approach.
Once you trust the numbers and stop evaluating your P&L on a trade-by-trade basis, you will be free to explore any strategy's true potential. Whether you are investing or trading equities, indexes, FX, real estate, commodities or crypto, our models will create clarity and sharpen your mental performance and hugely improve your profitability and consistency.
Fractals are infinitely recurring geometric patterns that are self-similar across different time frames. Although prices may appear to be random, they do create repeating patterns and trends. A very basic repeating pattern is known as a fractal. Fractals often represent simple reversal patterns.
Bayesian statistical methods use Bayes' theorem to compute and update probabilities after obtaining new data. Bayes' theorem describes the conditional probability of an event based on data as well as prior information about a certain event or conditions related to the event. This method removes our biased thinking and basic human biases from critical process decisions.
A Markov process is a random process indexed by time, and with the property that the future is independent of the past, given the present.The Markov analysis process involves defining the likelihood of a future action, given the current state of a variable. The Markov analysis forms one of the most important classes of random processes.
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