The Process
Marek Pawlewski is UK based expert in software engineering and
statistical analysis. 5 years ago, initially as an academic
exercise, Pawlewski commenced a research project to establish
whether statistical analysis could be utilised to predict future
stock price movements with a high degree of success and
reliability. The project, to be deemed successful had to both stand
up to the highest levels of academic scrutiny and provide low
volatility and reliable returns. In the early years of the project
a broad range of well known technical strategies were identified
and tested. Most failed to perform consistently. Many of these
flawed strategies are the base for aggressively marketed trading
systems widely available today. A few more intelligent strategies
were occasionally competent yet proved unreliable and loss making
during periods of higher volatility and fast changing markets.
Gradually technical strategies were removed from the project until
only one survived. This surviving process was disected, analysed
and improved for some years, via real-time trading and 15 years of
back-testing. A set of parameters were identified that maximised
risk-adjusted returns through all stages of the economic cycle and
at all levels of volatility.
The end product is a logical, intellectually robust and proven
stock trading system that uses sophisticated statistical modelling
techniques, but provides simple regular signals that make intuitive
sense to new or experienced traders. Pawlewski was kind enough to
meet with me and considering his background as an academic
surprised me greatly with his practical understanding of the
frustrations traders feel when faced with the failings of the
'conventional wisdom' of the popular Technical Analysis techniques.
I think the empathy comes from years of checking numerous
’off-the-shelf’ strategies which only seem to work some of the
time, and where for every example of a bullish signal giving a
successul trade, you can find a similar signal where the trade
fails.
Pawlewski, pleasingly is willing to share his findings with traders
and I felt he is as keen to gain recognition as a ground-breaker in
the art of technical analysis, as he is in monetizing the Pawlewski
System, for personal gain. In an industry so rife with hype and
aggressive marketing, Pawlewski clearly abhors slick pay-now
results-later marketing processes and customer recruitment
techniques. Whilst he is naturally keen to protect his intellectual
property he is willing to share trading signals with interested
parties over a prolonged period so traders can reflect on the
process and digest a reasonable time-frame of results.
The essence of Pawlewski's system is that it is able to distinguish
between appreciating S&P 500 stocks that are experiencing a
short term pull back but will imminently rally and stocks that are
falling and will continue to do so with near uninterrupted
momentum. Using statistical analysis Pawlewski's system can
identify long trade candidates, which he would typically hold for
an average of 10 days. Similarly, by using ‘reverse’ statistical
analysis the system proposes short positions.
The exact details of the process are confidential, but it is clear
that Pawlewski can identify the ‘genetic’ code within a stock's
chart which under analysis by the Pawlewski system provides
information regarding the future direction and pace of a stock’s
movement. The system has been robustly tested on the S&P 500
constituents and it is those stocks that we will be providing trade
signals on for the next 3 months or so, via TradingHelpDesk.
If you would like to see the trade signals they will be posted on
this site, listed on this page.