How To Uncouple A Dyadic Cyclone: A Timeline Re-Script

Conceived and enacted on the Solstice evening of 21st-22nd June 2010.

I recently went through a therapeutic process using several different treatment modalities to deal with some unresolved issues such as ‘status change’ after a past relationship breakup. As part of this, it is usual for people to write letters to those people who they need to make amends to. These letters are not always sent, and, in most cases I have done so. They probably come across as slightly self-indulgent to others.

Below is one for a specific person I am no longer in contact with (with identifiable details in contrast to research ethics guidelines to have ‘de-identifiable data’ – I will explain to the person why if they ever contact me directly for clarification – for starters, I hope the person is safe and well). That said, the person may be unlikely to ever see or read this message. And, if they do read it, they will likely have a different view of the events described and their (non-) significance.

As Douglas Hofstadter observed in his book I Am A Strange Loop (Basic Books, New York, 2007), we can often end up with only self-referential ‘simulations’ or fleeting memories of the people in our deep past who were once close to us. These self-referential ‘simulations’ are often nothing like what a person is, now. Even if you have not seen a person in a long time — in say 12 years — such self-referential ‘simulations’ may be reactivated during periods of anxiety, stress and anniversarial issues.

This is meant as an ‘appreciative’ note before the memories fade. We may not be able to change our past yet we can change the significance and meaning-making that we imbue it, thus freeing our lives for the present and the unfolding future.

At least some of this did actually happen. The rest is a ‘Just So’ story — a subjective ‘narrative’ that is constructed as a ‘healing fiction’ and meant to be discarded when the therapeutic intervention ends.

Continue reading “How To Uncouple A Dyadic Cyclone: A Timeline Re-Script”

Trading Chaos

Williams, Bill & Justine Gregory-Williams.  Trading Chaos: Maximise Profits With Proven Technical Techniques (2nd ed.), John Wiley & Sons, New York, 2004.

The father-daughter authors summarise a personal methodology based primarily on: (1) the technical analysis of oscillations in market securities; and (2) the opportunities for day traders and swing traders to appropriate value from institutional funds through ‘countertrend’ signals which occur in commodities futures and currency/foreign exchange (forex) markets.  The first (1995) and second (2004) editions coincided with the IT and subprime bubbles which created day trading subcultures and market volatility, so it would be interesting to see how the authors have fared during the 2007-08 global financial crisis.

The book’s first half synthesises various ideas on formulating a trading plan and the psychology of market trading.  The ideas include a social constructionist view of money as a holder of value (John Searle); crowd psychology and rational herds in markets (Gustave Le Bon, Charles Mackay); the new paradigm of chaos theory in markets and how fractals and self-similarity create new trading perceptions about pricing and signals (Benoit Mandelbrot), and the popularity of Eastern belief systems amongst traders as models for skills acquisition and stress management (notably Western popularisations of Zen and Taoism).  Thus an awareness of broader intellectual trends can be useful to unpack the building blocks of a system and for comparative analysis with other theorists and models.

Ben Williams’ original contribution is to explain how his background as a psychologist informs his trading approach.  Chapter 7 outlines a generic model of skills acquisition — novice, advance beginner, competent, proficient and expert — that was explored in the book’s first edition, and can be integrated with Agile, CMMI and other frameworks for integrating operations and strategy.  Williams summarises exercises from autogenic training for stress control in the face of market volatility, symbolic interactionist approaches to align the trader’s individual psyche with the market, and cognitive psychology techniques such as cognitive chaining for surfacing deeply held beliefs which lead to self-sabotage and trying to trade out of a losing position without stop losses.  The cognitive psychology approach reminds me of physician John Lilly‘s mid-career work on meta-beliefs and it also parallels recent work in behavioural finance.  However, some descriptions — such as a section on Taoism, Zen and visualising the market as a river which follows the path of least resistance — seem to be closer to New Age beliefs about zero point fields which integrate consciousness and matter than the original metaphysical systems.  I agree these systems can be applied to training however they need far more grounding than detailed here.

From the earlier material on trading approaches, the book’s second half develops a trading system to anticipate the price movements in market securities through fractals and self-similarity which occur in volatility.  It’s always interesting to see how traders justify their approaches and the example trades given.  I’m closer to the adaptive markets, event arbitrage and behavioural finance schools of investing and remain to be convinced about the validity of technical analysis that the Williams propose, beyond the obvious role of pattern recognition.  Actually perceiving nonlinear dynamics and turbulence can be very different to the language and paradigmatic thought that makes chaos theory a popular explanation.

I did experience some perception changes after reading Trading Chaos: (1) charts might be interpreted in a different psychological frame using fractal, self-similarity and volatility metaphors; (2) viewing charts at different timescales (e.g. 1 hour, 1 day, 1 week) might develop the cognition skills to quickly scan signals in a real-time environment; and (3) the juxtaposition of lead and lag signals for trading decisions and triggers has potential, particularly if combined with game theoretic modelling of the market and volatility effects from institutional investors, monetary policy and rational herds.  It remains to be seen if these perceptions are sustainable and verifiable in trading conditions, and not just subjective reactions based on past research about chaos theory models.

That said, the trading system may also have several criticisms and weaknesses. Finding signals in oscillations and nonlinear dynamics may be difficult in a volatile market.  Analysts can be subjective particularly if de-leveraging and other actions by institutional investors are not factored in.  Swing traders may be exposed to market sensitivities (aka the Greeks): Gamma (the rate of change in the underlying security’s price), Vega (sensitivity to volatility), Theta (time-decay) and Rho (time-decay of interest rates).  Finally, modelling turbulence and uncertainty in a grey or white box system remains a major challenge for financial engineers in new market environments.

Threaded throughout Trading Chaos are the mix of useful insights and shibboleths in day trading subcultures.  CNBC, investment experts, and the plethora of courses and newsletters thrive on investor insecurity yet create noise (pp. 34, 42, 56).  Trading decisions, trading volume, and speed and type of momentum may be lead indicators of price volatility (p. 126).  Broad market knowledge purports to trump expert/specialist understanding (p. 135).  Market facts must be distinguished from opinions and beliefs (pp. 8-11).  Trader personalities shape risk tolerance, time horizon, the asset allocation process and types of controls (pp. 92, 155), a factor relevant to human resources consultants and the ‘transition in’ process for trading desks in investment banks.  Analysis risk involves emotions and perceptions of a signal (pp. 52-53).  The interest in Fibonacci numbers and Golden ratios are partly because they are iterative, geometric structures applicable to price movement forecasting (pp. 22-23).  Grey and white box systems with transparent, programmable rules are preferable to expensive, high-end black box systems which use artificial intelligence and neural net algorithms (pp. 53, 56).  A useful bibliography highlights the Santa Fe Institute‘s influence on chaos theory applications in finance and macroeconomics.  It suggests this area needs far more research to verify the claims and provisional findings in this book, to separate the gold from the dross.

Perhaps the most pivotal insight of Trading Chaos is buried in the text.  “We all trade our belief systems.  When some of you think about this, it produces a crisis,” the authors assert.
  Now that could be the basis for a ‘contrarian’ trading system — probably the one that hedge funds with a short/event arbitrage approach use to scalp day traders in currency/forex and commodities futures markets.