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List of Common Characteristics of Great Traders -10 Points

1. They all have a tested, positive expectancy system that’s proved to make money for the market type for which it was designed.

2. They all have systems that fit them and their beliefs. They understand that they make money with their systems because their systems fit them.

3. They totally understand the concepts they are trading and how those concepts generate low-risk ideas

. 4. They all understand that when they get into a trade, they must have some idea of when they are wrong and will bail out

. 5. They all evaluate the ratio of reward to risk in each trade they take. For mechanical traders, this is part of their system. For discretionary traders, this is part of their evaluation before they take the trade.

6. They all have a business plan to guide their trading. You must treat your trading like any other business

7. They all use position sizing. They have clear objectives written out, something that most traders/investors do not have. They also understand that position sizing is the key to meeting those objectives and have worked out a position sizing algorithm to meet those objectives.

8. They all understand that performance is a function of personal psychology and spend a lot of time working on themselves. You must become an efficient rather than inefficient decision maker.

9. They take total responsibility for the results they get. They don’t blame someone else or something else. They don’t justify their results. They don’t feel guilty or ashamed about their results. They simply assume that they created them and that they can create better results by eliminating mistakes.

10. They understand that not following their system and business plan rules is a mistake. If you make even one mistake per month, you can turn a profitable system into a disaster. Thus, the key to becoming efficient is to eliminate such mistakes.

What elements from the above list do you need to work on more than any other? Yes, take a moment to think about this today. As you set your top priorities for this new second quarter, I recommend focusing on just one of these elements by outlining specific steps you need to take this quarter to improve. For some, this will require further study. For others, it only requires just some minor behavior modification, refocus and attitude adjustment. Many times the difference between being great and mediocre

Why it is so easy to blame others for your losses.

When things don’t go your way in the markets, you can do one of two things:

1) assign blame to a plethora of different parties, entities, conspirators and evil factors or
2) try to figure out what you could have done better or where you might have strayed

#1 is the easy and natural thing to do: it’s hard to admit we screwed up, but it’s easy to blame:

– short sellers

– market maker manipulation

– FIIs

– The RBI

Centre Govt

– fake government statistics

– Algo Trading

– bad data from some internet finance site

 

Atkeson & Houghton, Win By Not Losing-Book Review

 Nicholas Atkeson and Andrew Houghton, founding partners of Delta Investment Management, have written what, in the words of the lengthy subtitle, is a disciplined approach to building and protecting your wealth in the stock market by managing your risk. Win By Not Losing (McGraw-Hill, 2013) is a mix of stories about some not-so-famous investors (in fact, a few are identified simply by their first names) and an introduction to tactical investing.

The authors contend that “stock prices are influenced by oddities in human behavior that often cause security pricing to be predictable.” (p. 120) They support their contention by sharing some of their observations from the trading floor of an investment bank. Earnings momentum, for instance, can be both predictable and profitable: “the cycle of exceeding analysts’ estimates is often predictable in light of the pressures on analysts to be overly conservative.” (p. 121) And one study found that “over the 60 trading days after an earnings announcement, a long position in stocks with unexpected earnings in the highest decile, combined with a short position in stocks in the lowest decile, yields an annualized ‘abnormal’ return of about 25 percent before transaction costs.” (p. 122) (more…)

Trading Mathematics and Trend Following

Some quick points, to be making money, Profit Factor must be greater than 1.

  • Profit Factor (PF)
  • = Gross Gains / Gross Losses
  • = (Average win * number of wins) / (Average loss * number of losses)
  • = R * w / (1-w)
    • where R = Average win / Average loss
    • w = win rate, i.e. % number of winners compared to total number of trades

Re-arranging, we have

  • w = PF / (PF + R)
  • R = PF * (1 – w) / w

Sample numbers showing the minimum R required to break-even (i.e. PF = 1, assuming no transaction costs) for varying win rates.

  • w = 90% >> R = 0.11
  • w = 80% >> R = 0.25
  • w = 70% >> R = 0.43
  • w = 60% >> R = 0.67
  • w = 50% >> R = 1
  • w = 40% >> R = 1.5
  • w = 30% >> R = 2.33
  • w = 20% >> R = 4
  • w = 10% >> R = 9

The style of trading strongly influences the win rate and R (average winner / average loser). For example, (more…)

3 Hard Questions

Markets are highly random and are very, very close to being efficient.

If you are a new trader, trading is probably harder than you think it can be. If you’ve been trading a while, you know this. Financial markets are one of the most competitive environments in the modern world. New information is quickly processed and incorporated into prices. This means that you cannot outsmart the market consistently. You cannot invest based on what you think makes sense or should happen because you are up against investors with superior access to information, knowledge, experience, capital and other resources. Most of the time, markets move in a more or less random fashion; you can’t make money if market movements are random. (“Efficient”, in this context, is an academic term that basically means that all available information is reflected in prices.)

It is impossible to make money trading without an edge.

There are many ways to create an edge in the markets, but one this is true—it is very, very hard to do so. Most things that people say work in the market do not actually work. Treat claims of success and performance with healthy skepticism. I can tell you, based on my experience of nearly twenty years as a trader, most people who say they are making substantial profits are not. This is a very hard business.

Every edge we have is driven by an imbalance of buying and selling pressure.

The world divides into two large groups of traders and investors: fundamental traders who base decisions off of financial analysis, understanding of the industry and a company’s competitive position, growth rates, assessment of management, etc. Technical traders base decisions off of patterns in prices, volume or related data. From a technical perspective, every edge we have is generated by a disagreement between buyers and sellers. When they are in balance (equilibrium), market movements are random.

5 Qualities-Successful Traders are having

1) Capacity for Prudent Risk-Taking – Successful young traders are neither impulsive nor risk-averse. They are not afraid to go after markets aggressively when they perceive opportunity;
2) Capacity for Rule Governance – Successful young traders have the self-control needed to follow rules in the heat of battle, including rules of position sizing and risk management;
3) Capacity for Sustained Effort – Successful young traders can be identified by the productive time they spend on trading–research, preparation, work on themselves–outside of market hours;
4) Capacity for Emotional Resilience – All young traders will lose money early in their development and experience multiple frustrations. The successful ones will not be quick to lose self-confidence and motivation in the face of loss and frustration;
5) Capacity for Sound Reasoning – Successful young traders exhibit an ability to make sense of markets by synthesizing data and generating market and trading views. They display patience in collecting information and do not jump to conclusions based on superficial reasoning or limited data.

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