uncertainty is a fundamental reality in trading. the best we can hope to
achieve, under any circumstance, is an incomplete, but probabilistic
knowledge of that environment. most new traders neither understand the
markets are dominated by chance and randomness, nor possess the ability
to cope with the day-to-day gyrations of the market. the natural
inclination is to find a comfortable resolution and a shortcut to order
amongst all the chaos, while never understanding the structure of its
source. ironically, they tend to herd with other naive neophytes into a
socialistic like trap, incorporating cliched and anachronistic methods,
strategies, and approaches to the market. like churchill remarked, it is
a philosophy of failure, and a creed of ignorance, whose inherent
virtue is the equal sharing of misery. paradoxically, the less they
really know and understand about the market, the more they
think they know, and the more likely they are, to have a predictive bias to the market.
as previously mentioned, strategies with the greatest commitment to
predicting the future, maximizes the probability of failure. trading
today's markets requires a new approach that must be built on an
analytical framework that is relevant to current drivers of price. what
dramatically distinguishes today's markets from yesterday's trade, is
market structure and fed policy. to a very large extent,
price action
is no longer controlled by humans, and to an even larger extent, price
action has been contaminated by qe/zirp. unless we see a return to
normal levels of human market activity, and an absence of artificially
controlled markets by the fed, we will never see markets that even bear a
resemblance to markets of the past, nor will yesterday's approaches to
market analysis ever be applicable again.
how traders cope with probabilistic uncertainty and their imperfect view
of the market is critical to their success. incorporating relevant
informational signals from a wide range of deterministic processes is
the foundation for a trader’s success. this means resisting the sirens'
call to assign causality to traditional ta patterns, trend-lines, fibs,
and other hackneyed tools that were created for highly auto-correlated
markets, driven by human decisions and real risk/reward considerations.
the new-normal approach begins with recognizing the current dynamics of
liquidity provision and developing an informational framework with
signals that reflect the machine driven reality of hft, along with an
understanding of the the impact of qe/zirp and risk-on/risk-off on
relative value and carry strategies. there is a right way and a wrong
way to deal with the inherent fuzziness and noise in today's markets,
and without the right tools and the proper perspective it's easy for
human decision makers to be misled by the machines and policy makers.
or, you could just wait for a head-and-shoulders top, trend-line
resistance, or a moving average crossover to get short, and then hope
and pray.