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Confusion and Frustration for Traders

Maslow one commented that, when all you have is a hammer, you tend to treat everything as a nail. So it is with psychologists that involve themselves in markets. Lacking an understanding of actual speculative strategies and tactics–not to mention portfolio construction–they reduce performance problems to the lowest, psychological denominator. In so doing, they confuse cause and effect: they observe frustrated traders and assume that relieving frustration is the key to making money.

The professional speculator, unlike the retail daytrader, rarely falls into performance problems because of derelict discipline or runaway emotions. Rather, it is the very competence of the professional that leads to performance challenges. *It is when pros are most in sync with markets, identifying and profiting from themes and patterns, that they are most vulnerable to ever-changing patterns of direction, volatility, and correlation*. The confidence that permits healthy risk-taking under the best of speculative conditions inevitably gives way to confusion and frustration when skilled participants are no longer in sync with their markets. (more…)

Trading Notes for Traders

Traders should work on replacing subjectivity with cut and dry analysis.

Keep yourself in a box and stick with what you know.

The markets are complicated enough without our tendency to over analyze.  All a trader needs is to learn how to read a small number of indicators and trade them well.  Find a niche; your own niche. Simplification not complication makes a successful trader.

When contemplating a trade think first and foremost about how much you are willing to lose before you attempt to calculate your expected gain.

A stock is, at any given time, in the process of testing a specific price level.

Questions that make a trading decision valid:  WHY are you considering a trade? WHEN will you enter it? WHERE do you see it going?

Multiple time frame correlation is important for high probability trades.

Let the chart tell you its story.

OBEY your rules of engagement…ALWAYS.

Be well paid to be a follower.

Loss of mental capital (drive, will, confidence) is greater than loss of monetary capital.

Let the price action CONFIRM your trade analysis.  Example: let a break-out test the break-out first.

Trading Errors:  The “Fudge” Factor

1. Trying to catch a falling knife.

2. Picking Tops

3. Failure to wait for confirmation.

4. Lack of patience.

5.  Lack of a clear strategy.

6. Failure to assume responsibility.

7.  Failure to quantify risk.

William Eckhardt-Quotes

I take the point of view that missing an important trade is a much more serious error than making a bad trade. 

Buying on retracement is psychologically seductive because you feel you’re getting a bargain versus the price you saw a while ago. However, I feel that approach contains more than a drop of poison. 
You shouldn’t plan to risk more than 2 percent on a trade. Although, of course, you could still lose more if the market gaps beyond your intended point of exit. 
I haven’t seen much correlation between good trading and intelligence. Some outstanding traders are quite intelligent, but a few aren’t. Many outstanding intelligent people are horrible traders. Average intelligence is enough. Beyond that, emotional makeup is more important. 
The answer to the question of whether trading can be taught has to be an unqualified yes. Anyone with average intelligence can learn to trade. This is not rocket science. 
If you bring normal human habits and tendencies to trading, you’ll gravitate toward the majority and inevitably lose.  (more…)

Fear and Greed in Financial Markets: A Clinical Study of Day-Traders

GreedkillsContrary to common folk wisdom that financial traders share a certain set of personality traits, e.g., aggressiveness or extraversion, we found little correlation between measured traits and trading performance. The study finds that subjects whose emotional reaction to monetary gains and losses was more intense on both the positive and negative side exhibited significantly worse trading performance. Psychological traits derived from a standardized personality inventory survey do not reveal any specific \trader personality profile”, raising the
possibility that trading skills may not necessarily be innate, and that di erent personality types may be able to perform trading functions equally well after proper instruction and practice.

Why System Trading Is Ultimately Discretionary

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…)

There is a Difference Between What People Say and What They Think

For many, there is a difference between how you think you will act in certain conditions and how you actually act when the time comes. The term used to describe this condition is called empathy gap.

There are two basic scenarios in which empathy gap can impact your performance as a trader/investor:

– you don’t cut your losses when they hit your pre-established exit level. This is the single biggest reason, so many people struggle in the capital markets. One solution to the issue is to enter exit orders, immediately after you initiate an opening order (caution: it does not work with illiquid names, where market makers can easily shake you out);
– you don’t take the signals from your watchlist when they are triggered. Some stocks can really move fast after they pass their tipping point. When that happens, many traders feel like a deer in headlights and are not willing to pay the market price. They’ll put a limit order, hoping that the desired stock will come back and their order will be filled. The best stocks don’t come back. Don’t be afraid to pay the market price for proper breakouts.

In today’s information overloaded world, evidence suggests that 95 per cent of our decisions are made without rational thought. So consciously asking people how they will behave unconsciously is at best naïve and, at worst, can be disastrous for a business. (more…)

Trading From Your Gut, by Curtis Faith

CHAPTER 1

The Power of the Gut

“The intuitive mind is a sacred gift and the rational mind is a faithful servant. We have created a society that honors the servant and has forgotten the gift.”
—Albert Einstein

George Soros, one of the greatest traders alive, trades from the gut. He has widely remarked on the correlation between his backaches and trading choices. In the autobiographical Soros on Soros, he wrote:

 I rely a great deal on animal instincts. When I was actively running the fund, I suffered from backache. I used the onset of acute pain as a signal that there was something wrong in my portfolio. The backache didn’t tell me what was wrong—you know, lower back for short positions, left shoulder for currencies—but it did prompt me to look for something amiss when I might not have done so otherwise.

Some traders might scoff at the idea of making decisions based on “feelings” or intuition. They see the trader’s role as one who remains calm and collected, rationally choosing the right course while those around them are tossed about by their emotions. They believe that Soros is either lying or fooling himself. They don’t see how gut instinct can help. Yet many successful traders feel otherwise. Who is right? Is one approach better than the other?

If you are one of those traders who doesn’t believe that gut instinct or intuition has any place in trading, I invite you to keep an open mind. I, too, once felt as you did. After all, I was trained to take a very systematic and logical approach to trading as a Turtle. I believed that it was important to keep your emotions in check. I ­didn’t believe in trading from the gut.

Trading from your gut is a way of tapping into the extra power of the right hemisphere of the brain.

What I didn’t realize at the time, however, is that there is a big difference between trading emotionally and trading from your gut. Trading emotionally means reacting to fear and hope, which can destroy your trading decisions. Trading from your gut is different. It is a way of tapping into the extra power of the right hemisphere of the brain, which can be a powerful, effective, and entirely rational addition to any trader’s repertoire. (more…)

William Eckhardt Quotes

Partner of perhaps the best-known futures speculator of our time, Richard Dennis.Created the famous trading group known as the Turtles. William has averaged over 62 percent return.  

“I take the point of view that missing an important trade is a much more serious error than making a bad trade”. 
”Buying on retracement is psychologically seductive because you feel you’re getting a bargain versus the price you saw a while ago. However, I feel that approach contains more than a drop of poison.”
”You shouldn’t plan to risk more than 2 percent on a trade. Although, of course, you could still lose more if the market gaps beyond your intended point of exit.”
”I haven’t seen much correlation between good trading and intelligence. Some outstanding traders are quite intelligent, but a few aren’t. Many outstanding intelligent people are horrible traders. Average intelligence is enough. Beyond that, emotional makeup is more important.”
”The answer to the question of whether trading can be taught has to be an unqualified yes. Anyone with average intelligence can learn to trade. This is not rocket science.”
”If you bring normal human habits and tendencies to trading, you’ll gravitate toward the majority and inevitably lose.”
”Watch idly while profit-taking opportunities arise, but in adversity run like a jackrabbit.”
”One adage that is completely wrongheaded is that you can’t go broke taking profits. That’s precisely how many traders do go broke. While amateurs go broke taking large losses, professionals go broke by taking small profits.”
”What feels good is often the wrong thing to do.”
”Human nature does not operate to maximize gain but rather to maximize the chance of a gain. The desire to maximize the number of winning trades (or minimize the number of losing trades) works against the trader. The success rate of trades is the least important performance statistic and may even be inversely related to performance.”
”Two of the cardinal sins of trading – giving losses too much rope and taking profits prematurely – are both attempts to make current positions more likely to succeed, to the severe detriment of long-term performance.”
”Don’t think about what the market’s going to do; you have absolutely no control over that. Think about what you’re going to do if it gets there.”
”It is a common notion that after you have profits from your original equity, you can start taking even greater risks because now you are playing with ‘their money’. We are sure you have heard this. Once you have profit, you’re playing with ‘their money’. It’s a comforting thought. It certainly can’t be as bad to lose ‘their money’ as ‘yours’? Right? Wrong. Why should it matter whom the money used to belong to? What matters is who it belongs to now and what to do about it. And in this case it all belongs to you.”  

Fear empty flats in China's property bubble

How many flats in China are sitting empty? The media recently floated a story — denied by power companies — that 64.5 million urban electricity meters registered zero consumption over a recent, six-month period. That led to a theory that China has enough empty apartments to house 200 million people.

Statistical transparency is lacking in this area, so the truth about empty apartments remains under wraps. Publishing accurate data should be of the highest priority, since the size of the nation’s unused apartment stock is perhaps the most important measure of the extent and seriousness of China’s property-market bubble. Indeed, it’s a grave concern for policy making, since unpublished data may indicate not only a price bubble but a quantity bubble burdening the market.

Real estate is prone to price bubbles because unique factors restrict its supply response. Inflated prices have been the mark of most modern-day property bubbles. Price bubbles occur frequently and can last a long time.

In the 1980s, Tokyo saw a tremendous rise in property prices not in tandem with supply. The Hong Kong property market experienced a similar phenomenon in the 1990s.

One reason for limited supply is that property development is subject to government regulations, especially local rules. Established communities usually restrict building heights and density, for example, making it virtually impossible for mature communities to increase supply quickly. London, which is now experiencing a price bubble, and Tokyo in the past are cities that tightly control building heights.

Second, infrastructure development takes time and is always relative to land availability. Even in an island-city such as Singapore, land can be reclaimed from the sea at low costs, pointing to the correlation between land and infrastructure. But when property prices are high, and even when money is available for infrastructure development, one should be cautious about plunging in for fear that property prices could later fall. Thus, even over extended periods of time, property supplies may not respond to price increases.

Hong Kong doesn’t have height restrictions like London or Tokyo. Nor does it have infrastructure or land shortages. But a government policy limiting land supply created scarcity before 1997, setting the stage for a bubble. The subsequent catalysts for higher prices were loose monetary conditions imported from the United States through Hong Kong’s currency peg to the dollar. Even though prices were rising, the government chose not to increase supply, leading to a price bubble.

Thus, demand for property also rises under eased monetary conditions, and climbing price momentum attracts speculative demand. If monetary conditions remain loose for a while, credit access can sustain this kind of speculative demand. This points to a need for the Chinese government to adjust its property-market policies as well as interest rates to reduce speculation and steer the market out of a looming bubble crisis.

It’s been said many times that China is experiencing a nationwide urban property price bubble. High prices in major cities where most of the country’s property value is concentrated cannot be explained rationally.

Rising rents are a little easier to explain, however, even in the face of empty flats everywhere. Some blame intermediaries for ramping up the market, but this explanation is hard to stick in China’s fragmented intermediary real-estate industry. Instead, inflation expectation is probably driving current rent increases: Property owners anticipate spending more in the future remodeling flats to compensate for renter wear-and-tear, so they charge higher rents now to plan for higher costs.

Quantity pump

What especially distinguishes China’s property bubble, however, is an unprecedented amount of living space. This huge stock of empty flats equals the nation’s quantity bubble.

Quantity bubbles are less common than price bubbles, and they don’t last as long. Rising supply usually exerts downward pressure on prices, although an influx of money can hold up prices even when supply is rising.

A price bubble can damage an economy in three ways. First, it usually leads to a banking crisis. As the market trades at ever-higher prices, buyers borrow more against the same property. Banks that maintain the same lending cushion with, say, a 30% down-payment rule suffer losses when prices fall below that level. A banking system in crisis cannot lend normally, and the economy suffers collateral damage due to dysfunctional banking.

Second, the wealth effect leads to excessive consumption during a bubble. The payback weakens an economy for several years.

And third, bubble-induced demand distorts the supply side. When inflated industries go down with a bubble burst, it takes time for other industries to rise in an economy in their place.

A quantity bubble is sometimes a construction bubble, and it fizzles out when a building cycle turns over, crashing prices as soon as new supply becomes available. This is what happened to a commercial property bubble in the United States in the late 1980s, triggering a bank crisis when it burst and prompting the Federal Reserve to maintain a loose monetary policy that helped the banking system heal.

Quantity and price bubbles may grow together. Southeast Asia, for example, experienced a quantity-cum-price bubble that lasted several years in the 1990s. As regional currencies were pegged to the dollar, loose monetary conditions were imported from the United States, fueling a property bubble. Due to few restrictions on urban development, rising prices led to massive increases in supply. Liquidity inflow fueled speculative demand. But when U.S. monetary policy tightened, the market crashed and triggered the Asian Financial Crisis.

The latest experience in the U.S. market was mainly based on a price bubble, although some cities such as Las Vegas and Miami saw quantity bubbles as well. The U.S. government quickly recapitalized its banking system, limiting the direct effect of the banking crisis on the economy. Current weakness can be explained mainly by the wealth effect and employment losses in bubble-inflated industries.

When Taiwan experienced a price-cum-quantity bubble in the late 1980s, analysts determined the number of empty flats by obtaining electricity meter data from the power supplier, leading many to conclude that about 15% of all flats were empty. Today, some analysts are trying the same tactic in China. But Taiwan’s housing conditions are less complex. Getting to the core of China’s data requires more calculating.

Housing types, for example, must be considered. China’s urban housing stock is mainly split between old, public housing built for company or government employees, and some 60 million units of private housing built over the past 10 years. Property developers are now building about 20 million private flats, and local government-owned land banks may be good for another 20 million to 30 million.

About 1 billion square meters worth of public housing (or about 14 million, 70-square-meter units) have been torn down, leaving about 9 billion square meters of this type of living space nationwide.

Moreover, companies and government agencies are still building apartments for employees. This practice has slowed but remains significant in many cities even today. It’s hard to tell how many of these newer flats are out there.

There are similar unknowns about dormitories, such as factory dormitories that house workers from rural areas who migrate to manufacturing regions. Most of China’s more than 200 million migrant workers may be living in such dormitories.

Not all commercial property is market-driven, since certain people with connections or other advantages may own rental apartments that tend to have high vacancy rates and should be taken into account when calculating market excess.

Another consideration is that massive quantities of housing have been springing up in rural communities near major cities. And when farmland is rezoned for urban development, the region’s housing starts falling into the urban category. (more…)

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