Editor's Note:
The following is an interview done by Dave Goodboy in conjunction with
RealWorldTrading.com.
After you read the interview, talk about it
here.
Brice
Hi, My name is Dave Goodboy, I am executive producer of Real World Trading. This week I had the pleasure of interviewing, Nelson Freeburg. Nelson is a renowned trading systems designer who counts many world-class systematic money managers as clients, including, Paul Tudor Jones. He publishes the popular Formula Research letter that focusing on trading system development and is truly on the cutting edge of this field. This interview will step inside his mind to see what we can learn. Let’s get started!
Dave: Welcome to Real World Trading, Nelson
Nelson: Thanks, it’s a pleasure!
Dave: Let’s start at the beginning. What first got you interested in
trading system development?
Nelson: Almost no one in the field of systematic trading started out as a trader. Even some of the best known names in the profession began in different fields. Gerald Appel was a psychiatric social worker. Martin Zweig was a professor of academic finance. The late Bruce Babcock, who popularized dozens of mechanical timing strategies, was an assistant district attorney (who helped prosecute Charles Manson).
Nelson: When all of
these people eventually turned their attention to money management, they reached
a common conclusion. Buy-and-hold investing simply does not work. There may
be periods when the stock market goes straight up. But the good times are
offset by frequent bear markets.
Dave:
Nelson: One way to capture the gains and avoid the risks is to use conventional technical analysis—familiar tools like charting, candlesticks, trend line analysis, etc. But there is a lot of subjectivity involved in interpreting chart formations, breakouts, volume patterns, and so forth. This puts a lot of negative psychological pressure on the trader. Furthermore, there is no easy way to back test trading methods that rely on intuition and judgment.
Dave: Correct, technical analysis is generally very subjective, often an art instead of a science.
Nelson: Yes, so the
alternative is mechanical timing methods. Explicit trading rules can be reliably
tested in great historical depth. If they don’t work, all you’ve lost is time
and effort. You don’t lose real money. Furthermore, much of the doubt and fear
inherent in subjective trading is eliminated when the entry and exit rules are
specified in advance and rest on sound principles of price behavior.
Dave:
How did you start being interested in systematic trading?
Nelson: I was working on a Ph.D. in world politics at Columbia University in the late 1970s. My specialty was strategic arms control. I would use formulas and models to simulate the effects of thermonuclear war. (Please understand, I was trying to REDUCE the odds of such catastrophe.) Around that time, gold and silver were on a historic bull run. My cousin, a professional commodity trader, introduced me to the joys and passion of trading. And I was hooked…just like that.
Nelson: I quit
researching world politics and shifted to the study of price behavior. Like
many of us, I had my ups and downs as a chartist. Sometimes the chart patterns
worked, other times they didn’t. Meanwhile, around this same time, the personal
computer made its appearance. It became much easier to develop and test
mechanical timing strategies. For ten years I researched computerized timing
methods, trading all along. In 1991 I started Formula Research to share my
quantitative findings. We started out with a small but discerning group
(including Zweig, Appel and Paul Jones). Today we serve institutional money
managers and private investors in 27 countries.
Dave: Let's give systematic trading a clear definition. How exactly do you define systematic trading?
Nelson:
Dave: What are the basic components of a
trading system?
Nelson:
Dave: Interesting, particularly in light of all the "quant shops" opening up.
Nelson: By the way, all things being equal, simpler is indeed better. But I would not exclude in principle trading strategies which embrace more nuance and are therefore more complex.
Dave: Are all trading systems basically the same?
Nelson:
Dave: What about intraday systems?
Nelson: As for S&P daytrading trading systems, my friends at Futures Truth have tested dozens of intraday models. They note that almost all S&P daytrading systems incorporate an intraday breakout entry (trend-following) as well as a reversal entry (counter-trend). In essence, while S&P daytrading system vary in detail, many adhere to this same dual structure.
Dave: That similarity can be very broad. Is the inner logic basically the same also?
Nelson: No, that is where the differences lay. I must have several hundred trading systems in my personal library of timing strategies. In terms of the logic and structure of these systems, there is a wealth of diversity.
Dave: Do system entry and exit rules rely on the same logic?
Dave: Is there specific criteria that you use to analyze whether a system is successful? In other words, what gains should a system produce in relation to drawdowns?
Nelson:
Dave: Should all traders use the same evaluation techniques?
Nelson: Most
institutional analysts evaluate an investment strategy by looking at its
compound annual return and maximum drawdown on a percentage basis. If the
strategy offers a higher compound annual return than the S&P 500 while limiting
maximum drawdown to, say, 15% of equity, that would be a promising start.
Dave: Are most trading systems trend based?
Nelson:
Dave: How specifically do you determine and define trend?
Nelson:
Dave: Are there inherent flaws that must be dealt with when determining
trend?
Nelson:
Dave: Is there a way around the issues with trend-based systems?
Nelson: The only way I know of to reduce whipsaws is to add some external filter. A good example is the Pring stock market strategy I described above. You can only go long stocks when the price trend is bullish and the monetary trend is bullish (as represented by lower commercial paper yields). But when you add such a fundamentally-inspired component, it is imperative that your exit be exclusively trend-following. Why? Because eventually that monetary filter is going to fail. (See Japan in the 1990s, the U.S. in the 1930s).
Dave: Recently, several of the huge trend funds have been suffering large drawdowns. Is this implicit in the system OR is the system probably being managed poorly?
Nelson:
Dave: What other aspects, other than trend, can
a trading system be based on?
Nelson:
Dave: Getting practical, let's design a basic
trading system. First, how much data is needed before we start?
Nelson:
Dave: After the data is gathered, what's the first step?
Nelson:
You first have to decide whether the system will be
general in nature, designed to trade a diverse portfolio of commodities or
stocks. Alternatively, you could develop a profitable strategy that only trades
one sector, say energy products or stock index futures.
Dave: Let's go over each of those versions.
Nelson: Sure, If you are trading a diverse
portfolio of commodities (Option I above), you will probably use a
trend-following strategy. You need historical price data and a testing platform
that is capable of simulation across a portfolio of markets in dynamic
interaction.
Dave: OK, what's the next step?
Nelson: The next step
is build your system using only a restricted sample of the data. Once your
method works on this finite segment of price history, you can test it on the
out-of-sample data you prudently reserved for confirmation.
Dave: Ok, I understand. Out of sample data is the key to back testing?
Nelson: Yes, exactly.
Dave: Are transaction costs included in the output?
Nelson:
Dave: What about slippage?
Nelson:
Dave: How does an effective system handle slippage and transaction costs?
Nelson:
Dave: Are the above simple system guidelines applicable to most systems?
Nelson:
Dave: Wrapping this up, what is the most critical aspect of a trading system?
Nelson:
Dave: How can our members reach you should they be interested in
getting started in system trading?
Nelson:
Dave: We are almost out of time. Any final
thoughts?
Nelson: Well, the key to system building
is testing, re-testing and more testing.
Dave: Thank you for your time today!
Nelson: Thank you, Dave!