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Think Less & Keep It Simple

Every once in awhile I read something from another trader who I respect that I really wish I wrote myself. Here’s one such example:

 “One of the most difficult things to get investors and traders to understand is that no matter how much they investigate an investment, they will probably do better if they did less. This is certainly counter-intuitive, but the way that our brains function almost guarantees that this will happen. This kind of failure also happens to those investors frequently regarded as the smartest. In essence, the more information that investors have, the more opportunity that they have to choose the misinformation that suits their emotional purposes.

 

Speculation is observation, pure and experiential. Thinking isn’t necessary and often just gets in the way. Yet everywhere we turn, we read and hear opinion after opinion and explanation on top of explanation which claim to connect the dots between economic cause and market effect. Most of the marketplace is long on rationale and explanation and short on methods. (more…)

Dalton, Jones, & Dalton, Mind Over Markets

Mind Over Markets, the book that popularized (and expanded on) Peter Steidlmayer’s Market Profile, was first published in 1990. Anyone who bought the book expecting a self-help manual would have been sorely disappointed because what they got instead was a pretty complicated alphabetic model for organizing the distribution of market data along price and time axes. Twenty-three years later James F. Dalton, Eric T. Jones, and Robert B. Dalton are back with an updated edition of their text, Mind Over Markets: Power Trading with Market Generated Information (Wiley, 2013).

The book itself is organized according to the Market Profile trader’s achievement level—novice, advanced beginner, competent, proficient, and expert—with the greatest time spent on the competent level. The expert trader gets a mere two pages. (more…)

16 Points for Day Traders

Accepting risk may cause losses, but accepting unfunded liabilities and negative skew can bankrupt us.

Use models not to predict, but to create a range of possible outcomes for which we can plan.

Markets follow cycles based on the perceptions and actions of its players, and one can gain alpha by using these cycles to manage risk and reward.

Markets SEEK efficiency, but offer tremendous opportunities while traveling from inefficiency to efficiency.

Both people and machines have flaws, so use the best attributes of each for peak performance.

Forecasting is necessary but should be timid in nature, while action is not always necessary but should be BOLD on the occasions when conditions dictate it.

Risk management is made more complete by searching for information that differs from your analysis rather than by that which confirms it.

Successful practitioners turn mistakes into assets by generating learning experiences and continuous improvement.

Remember to distinguish between clues that are necessary, vs. a complete picture revealing a group of necessary AND sufficient measures.

Markets can be generally explained 95% of the time, but extreme events happen much more than a bell curve would indicate…using options guarantees that we’ll survive fat tails and grab positive skew.

We are certain we DON’T know what will happen, so the best approach is to figure out what WON’T happen and blueprint accordingly.

Diversification reduces risk most of the time, but we assume all assets are linked and eventually correlate.

It is critical to have both a brain and a gut; the ability to find an edge, and the fortitude to trade it aggressively.

Profitable opportunities are best entered in the earliest stage of latent power being converted to energy. Too soon is a waste of capital, too late involves too much risk.

Virtually all long-term strategies are positioned to simply ride the tailwinds of rising prices. It is imperative to have methods to protect us from both headwinds and crosswinds to avert disaster.

Treat volatility as a psychological risk to be managed into an ally, not as a financial measure of risk to obsess over.

Four Possible Basic Outcomes To Any Trade

1) Wins initially, and keeps winning.

2) Wins initially, but then reverses to become a loss.

3) Loses initially, and keeps losing.

4) Loses initially, but then reverses to become a win.

If you average down, you only get the chance to add to trade types 2, 3 and 4.

If you average up, you only get the chance to add to trade types 1, 2 and 4.

Averaging down tends to be attractive to people, since it allows the possibility of trade type 4 i.e. a trade that goes against you, but then reverses to recover your losses and more. However, that comes at the material risk of trade type 3 i.e. the trade that never recovers.

Averaging down virtually guarantees that your biggest positions will be in trade type 3 i.e. the trades that never win. Pyramiding up avoids this risk, and also allows you to add to trade type 1 i.e. the trades that start off winning and keep winning.

To be clear, there is a legitimate strategy of picking a range of entry into a trade. Rather than picking a particular price point, you may choose to scale into a position over a range of entries. The distinction here is that you must decide this plan before the first entry is made, rather than in response to a trade going against you.

Think Less & Keep It Simple

“One of the most difficult things to get investors and traders to understand is that no matter how much they investigate an investment, they will probably do better if they did less. This is certainly counter-intuitive, but the way that our brains function almost guarantees that this will happen. This kind of failure also happens to those investors frequently regarded as the smartest. In essence, the more information that investors have, the more opportunity that they have to choose the misinformation that suits their emotional purposes.

 Speculation is observation, pure and experiential. Thinking isn’t necessary and often just gets in the way. Yet everywhere we turn, we read and hear opinion after opinion and explanation on top of explanation which claim to connect the dots between economic cause and market effect. Most of the marketplace is long on rationale and explanation and short on methods.

A series of experiments to examine the mental processes of doctors who were diagnosing illnesses found little relationship between the thoroughness of data collection and accuracy of the resulting diagnosis. Another study was done with psychologists and patient information and diagnosis. Again, increasing knowledge yielded no better results but did significantly increase confidence, something which the smartest among us are most prone to have in abundance. Unfortunately, in the markets, only the humble survive.

The inference is clear and important. Experienced analysts have an imperfect understanding of what information they actually use in making judgments. They are unaware of the extent to which their judgments are determined by just a few dominant factors, rather than by the systematic integration of all of their available information. Analysts use much less available information than they think they do.

Think Less & Keep It Simple

“One of the most difficult things to get investors and traders to understand is that no matter how much they investigate an investment, they will probably do better if they did less. This is certainly counter-intuitive, but the way that our brains function almost guarantees that this will happen. This kind of failure also happens to those investors frequently regarded as the smartest. In essence, the more information that investors have, the more opportunity that they have to choose the misinformation that suits their emotional purposes.

 Speculation is observation, pure and experiential. Thinking isn’t necessary and often just gets in the way. Yet everywhere we turn, we read and hear opinion after opinion and explanation on top of explanation which claim to connect the dots between economic cause and market effect. Most of the marketplace is long on rationale and explanation and short on methods.

A series of experiments to examine the mental processes of doctors who were diagnosing illnesses found little relationship between the thoroughness of data collection and accuracy of the resulting diagnosis. Another study was done with psychologists and patient information and diagnosis. Again, increasing knowledge yielded no better results but did significantly increase confidence, something which the smartest among us are most prone to have in abundance. Unfortunately, in the markets, only the humble survive.

The inference is clear and important. Experienced analysts have an imperfect understanding of what information they actually use in making judgments. They are unaware of the extent to which their judgments are determined by just a few dominant factors, rather than by the systematic integration of all of their available information. Analysts use much less available information than they think they do.

Think Less & Keep It Simple

Every once in awhile I read something from another trader who I respect that I really wish I wrote myself. Today’s post from Jeff Cooper is a must-read:

“One of the most difficult things to get investors and traders to understand is that no matter how much they investigate an investment, they will probably do better if they did less. This is certainly counter-intuitive, but the way that our brains function almost guarantees that this will happen. This kind of failure also happens to those investors frequently regarded as the smartest. In essence, the more information that investors have, the more opportunity that they have to choose the misinformation that suits their emotional purposes.

 

Speculation is observation, pure and experiential. Thinking isn’t necessary and often just gets in the way. Yet everywhere we turn, we read and hear opinion after opinion and explanation on top of explanation which claim to connect the dots between economic cause and market effect. Most of the marketplace is long on rationale and explanation and short on methods. (more…)

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