FAQs
Equip & Benchmark
Leadership
MTM ( Ideas ) Expand Ideas ( )
Managers
Strategy-Selection Capital allocation
Traders
Generate-Opportunity Catapult risk-reward
Generate and cry-out competing and compelling domain choices
with their latest risk-reward performance. Use as
circuit breakers for existing
choices or green-shoots for
potential choices. This exactly no-more & no-less is the
role & utility of decision-supports.
Traders choices make/lose money; AI helps generate & cry-out
competing-choices and their latest live risk-rewards.
Traders call is not always right / always wrong. AI provides
competing choices every time before the user takes a call; the
management imperative to make available a running scoreboard of
latest choices –chances-learning to every decision-event
every-time
Judgment- in general is an important component in any-practice;
to the extent spelt into rules it can open itself to continuous
learning and refinement; and be institutionally-usable across
domain x time space
AI does-not predict future. It gives vital learning up to now of
evolving risk-rewards of different ways of engaging with the
same-chance.
No. Machine does not have a mind of its own. It only stores &
plays users’-mind as translated into rules.
AI can improve risk-rewards of your own-strategies.
Significantly improve your team’s performance with ai
Even if Manager & Trader do not use systematic-ways you need
Systematic yardstick to benchmark- both trader & manager. Set a
process to continuously improve legacy with competing choices
from systematic-space at all levels Strategy ; Alpha and
Learning.
OR two strategies give Opposite Signals? Remember machine does
not have a mind of its own; a systematic strategy is another
voice of expressing [ your-own ideas ]. Your systematic-strategy
is live with allocated-capital until you retire them as per
plan.
Intervene to set new tasks, review & retire old ones. Except on
an emergency- once assigned a task let the machine play-out your
stored mind to its logical end.
How wonderfully simple- if
future = optimized past; not at least
in risk-taking world; so use AI to find-out which learning works
now & which one has expired !
Machines – generate (slope-of-performance) of competing
domain-choices. Man‘s – Call is to translate them as
(slope-of-promise / otherwise)
Yes it can. With rule based ways of learning find out the fate &
fortune of [a] systematic-way of taking a call. Also generate
may ways of learning.
Man’s Call is not always right/always wrong in translating slope
of performance-to-promise or otherwise. Understanding &
strengthening this decision-process with Learning is management
imperative.