$100 Ultimate Traders Challenge ™ is an innovative, game-theory based educational model that aims at unveiling the very best behavioral traders and give them the opportunity to receive paid probationary placements at an investment bank.​

Success requires practice- lots of it. However, the time required to become successful is in very short supply; you need lots of hours in order to be equipped enough to be successful at trading. According to Malcolm Gladwell, this may take about 10,000 hours and that’s one of the reasons the $100 Ultimate Traders Challenge was invented.

  • The best traders are selected based on our strict parameters that pits low leverage with low drawdowns and consistent account growth.​
  • This challenge seeks to re-educate prospective traders from over-leveraged casino-gambling style punters to strategic traders that understand market behavior of the market, equipping them with the psychological disposition to be winners, thanks to our entrusted training.​
  • All participants will see the live leaderboard to track their progress and the progress of the other participants in this stage.​
  • The $100 Ultimate Traders Challenge  has a foundation stage and four growth stages.​

You, UTC. Numbers! You UTC and Numbers.

Communication is expressed in two ways: numbers and words. Words are qualitative and can describe nuances, cadences and phenomenon that can often be lost when observing quantitative data. Qualitative data is the raw data, the pot from which other inferences- empirical references are drawn. Numbers on the other hand, are incisive and minimalist when used to describe phenomena. Numbers are able to depict a portion of reality that words cannot and vice versa.

In your trading career, it will naturally be obvious that numbers speak much more loudly than words can. Your numbers- our numbers speak aptly for us.  That’s why we at Liquid Markets have focused on metrics. Specifically, our areas of concern are individual trader trading metrics.  Our experience and research have taught us at Liquid Markets that there are only a few choice ways of making money in the markets with an edge, without veering into gambling (punting).  Considering this, Liquid Market’s Trader Metrics correlates trader performance with the four stages in UTC.

We test for exceptional performance at each stage of traders’ development with real time assessment of traders’ metrics.  Price openness and trader metric openness with no time lags enables transparency and smooth transmissions with all stakeholders, partners, Liquid Markets’ traders and students.   Our business model replicates success throughout the chain of all the interest groups that have a stake in Liquid Markets.

Investor partners pay monthly retainers in order to gain access to trading metrics of the best traders.  Exceptional traders become successful using the parameters we have created; traders using the algo subscription package at Liquid Markets can adapt and augment their trading styles to the lines of best fit of the most successful traders. Our success breeds success.

Our 15-year experience gained from professional trading in the bond markets, deciphering data from retail trading and the proprietary space, has helped and on a cumulative basis is helping our balance sheets- with many months of cumulative success with low drawdowns, with monthly profits up to 5% of total assets under management.

That’s the credit of using trading metrics. We use individual trader trading metrics in relation to market prices too.  That is, market trading metrics that compares the past with the past; market trading metrics that compares the past with the present; market trading metrics that compares the present with the immediate future- this is called real time data analysis.  When this latter metric is used, it’s called real time trading data. For various reasons, professionals with large capital in the FX markets rely on this measure for various reasons- most notably because the entry and exit price at which an instrument is bought or sold is expected to have factored in past variables that contribute to price changes.

However, it would be professionally irresponsible to subject new and intermediate traders at the earlier stages of their growth as traders who are in Stage 1, 2 or 3 of their UTC challenges to real time price changes.  Traders ought to be prepared preliminarily testing and trading their trading prowess against static data.

Static historical data helps traders and their assessors to compare ‘apples with apples’ when assessing trading strategies. It generates performance drawn from the relevant and chosen time frames for specific currency pairs.  Due to the variability of trading time frames, assessors and traders have the added facility of being able to choose different trading modes, conditions and time frames during tests in a safer than live space.

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