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List of Mistakes by Traders

  
  Education
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Hesitation – fear of putting on a trade where price signals an entry because of what you think could possibly happen. Hey, it’s game of probability, and you’ll miss 100% of the shots you don’t take.

Chasing – running after the trade you hesitated on because of thinking about it too much, and now you think it will go forever without you. (It may go a long way without you, but don’t worry, another train will come along in a while.)

Overleveraging, averaging down, letting a loser run, trading without protective stops – all caused by the fact you are so certain price will do a certain thing that risk management is for stupid amateurs who get shaken out of “good” positions just when price is about to finally run their way.

Trading against a strong trend – you think price has run too high or too low because you have special indicators that tell you price is “overbought” or “oversold” and therefore has to reverse, even though price is showing you otherwise.

Taking profits too soon – you think no one ever went broke taking a profit and you think that normal price action retracements are reversals, so you grab tiny profits, while allowing losing trades to hit full stop, leaving you with a very poor reward:risk ratio.

Why System Trading Is Ultimately Discretionary

  
  Education
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Successful system trading, in spite of the financial rewards, can be frustrating.  A quantified mechanical model will take many decisions off the table.  Yet, various issues, particularly the psychological approach to the issues, will always be in play.

Ed Seykota in the book, “Market Wizards,” writes, “Systems trading is ultimately discretionary.  The manager still has to decide how much risk to accept, which markets to play, and how aggressively to increase the trading base as a function of equity change.  These decisions are quite important, often more important than trade timing.”

It seems most sophisticated traders are aware of the fact that a system needs to be properly quantified and tested before trading. The sample size of the trades needs to be large. These traders are familiar with the terms of curve fitting and optimization. I wonder, however, how many traders continue to study the model as they trade their equity. How many understand the logic behind the entries, stops, exits, and money management techniques. How many are adjusting position size to meet expanding and contracting volatility and changes in market correlation. (more…)

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