
From the early stages of the Trader Training
program trainees undertake a series of psychological evaluations
and assessments that help to determine personality type, intellectual
quotient (IQ), pattern recognition skills, risk profile and short-term
and long-term memory capacities. The results of these tests give
the assessors a basis upon which to build a more in depth evaluation
of the trader which assists in being able to select the most appropriate
metrics to use. The results shape each trainee’s individual
development program as they progress through the training.
At The Trader Training Company we use scientifically rigorous methods
to assess our trainee’s realtime trading behaviour. The program
utilizes Trader Psychometrics, a scientific approach to assessing
trading behaviour developed by one of our Directors, David James
Norman. It is the study, and ultimately the quantification, of electronic
trader behavior where we have a unique window into the performance
of the trader.
Through the use of proprietary algorithms, ratios and equations,
the electronic trader’s audit trail is captured and assessed
realtime enabling us to study, risk manage and improve the trainee’s
trading behaviour as they are in the process of trading in simulated
and live markets. This opportunity is completely unique to the Trader
Training Company and puts us leagues ahead of the industry.
Trader Psychometrics could be described as a new field of behavioral
finance as well as a subset of psychology. It is the study of how
traders make decisions to trade and as we know, the term 'trader
behavior' encompasses a multitude of elements including personality,
level of risk tolerance, decision-making competency, information
assimilation ability, spatial awareness, pattern recognition, IQ,
emotional intelligence, cognitive performance, manual and mental
dexterity, and even humor and musical ability.
Without Trader Psychometrics, everything
else is history.
A subset of the 17 Trader Psychometrics Categories:
1.Time interval' and 'Time taken' Metrics
2.Trading sequence measures
3.Measures of confidence
4.Pattern recognition
5.Learnt experiences and adaptation levels
6.Restoration and recovery metrics
7.Explosive moments
8.Information bias
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