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Nassim Taleb’s Risk Management Rules

Rule No. 1- Do not venture in markets and products you do not understand. You will be a sitting duck.

Rule No. 2- The large hit you will take next will not resemble the one you took last. Do not listen to the consensus as to where the risks are (that is, risks shown by VAR). What will hurt you is what you expect the least.

Rule No. 3- Believe half of what you read, none of what you hear. Never study a theory before doing your own observation and thinking. Read every piece of theoretical research you can-but stay a trader. An unguarded study of lower quantitative methods will rob you of your insight.

Rule No. 4- Beware of the nonmarket-making traders who make a steady income-they tend to blow up. Traders with frequent losses might hurt you, but they are not likely to blow you up. Long volatility traders lose money most days of the week.

Rule No. 5- The markets will follow the path to hurt the highest number of hedgers. The best hedges are those you alone put on. (more…)

Best Practices for Traders

5 Rules1) Preparation to start the day and week: Having a clearly formulated strategy to guide trading decisions;
2) Keeping score: Using a trading journal to structure learning, document progress, and sustain positive motivation;
3) Managing risk and maximizing opportunity: Trading with more risk/size when trading well and clearly seeing opportunity and pulling back risk when drawing down, trading poorly, and perceiving little opportunity;
4) Taking breaks: Stepping back from markets periodically to gain fresh perspective, reformulate views, and tweak strategies;
5) Treating trading as a business: Limiting overhead, having a clearly defined plan to move toward profitability, focusing on distinctive areas of strengths and opportunity.
So much of what makes traders great is what they do between market sessions, how they do it, and how much of it they do.
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A Venerable Technique

JL-ASROne of intelligent honest things that Livermore did was to get out of one market by selling a related market, inducing the other traders to think that there was weakness in one market which would carry over to the related market. The art of indirection and letting people use their own intelligence and inferences to come to their own conclusion. for example if he wanted to get out of cotton, he’d sell some coffee. If he wanted to get out of a common, he’s sell the preferred or a related company that owned a big chunk of it, like sell Christiana which owned general motors et al. This technique one wonders how often is it used today. When it happens, is it artful indirection or chance? How to quantify and what predictions to be made? Would the robots be smart enough to do this?

There was a moment in late 80s Energy trading, when legend has it that a great admirer of Livermore who runs a venerable hedge fund near New York was Bearish to the tune of 40,000 lots. If you think it’s not much, just remember that Exchange limit for open speculative position in any contract was 6,000. Of course, his positions were in all possible inter-month spreads and across products. So once decision to cover was made, he picked up the phone and asked for the cockiest trader in the Crude pit. “Are you a man or mouse?” Trader thought it was a prank: “Come on Paul, what do you want?” “I’ll give an order to sell 1,000 market, and I mean worst. But if I don’t see Crude print through even– they’re all yours! Do you accept?” 

20 One Liners From :The Little Book of Market Wizards by Jack Schwager

  1. They have the resilience to come back from early losses and account blow ups.The_Little_Book_of_Market_Wizards_large
  2. They focus on what really matters in trading success.
  3. They have developed a trading method that fits their own personality.
  4. They trade with an edge.
  5. The harder they work at trading the luckier they get.
  6. They do the homework to develop a methodology through researching ideas.
  7. The principles they use in their trading models are simple.
  8. They have mental and emotional control is key while winning or losing.
  9. They manage the risk to avoid failure and pain.
  10. They have the discipline to follow their trading plan. (more…)

10 Things that Great Traders have Declared Independence From –

 

  1. Great traders do not have to be right about any one trade, their success is based on winning more than they lose on a large amount of trades.
  2. Great traders do not need trade ideas from other traders, they trade a system and method independent of others opinions.
  3. The best traders are independent of holding on to losing trades stubbornly trying to prove they are right, they cut losses.
  4. The best traders are not prisoners of their emotions they can make clear headed decisions due to trading like it is a business not an ego trip.
  5. Rich traders became rich because they had systems that allowed winning trades to be free to run as far as they would go. They are independent of price targets.
  6. Rich traders trade independently from BLUE CHANNEL sentiment.
  7. Great traders trade charts independently of market sentiment.
  8. Great traders trade independently of talking heads on financial television.
  9. Winning traders are independent of market gurus they have proven systems and methods.
  10. Great traders are free from the risk of ruin because they never risk more than 1% to 2% of their total capital on any one trade.

Why Traders Keep Losing Money

“Imagine a mutual fund run by several money managers. Some of these managers are relatively astute and quite attentive to market data and patterns. Others tend to take their eye off the market ball and consistently lose money. The overall performance of the fund, averaging the returns of these managers, is mediocre, as the losses of the poorly performing managers cancel out the gains of the astute ones.
 
What would you do if you were the chief executive officer (CEO) of this fund?
 
Easy, you say. You would identify the successful managers and place all the money in their hands. You would either fire the unsuccessful ones or ensure that they couldn’t make final decisions about the investment of funds.
 
Now imagine that, within yourself, there are actually several different traders, each of whom takes control of your account for a period of time each day. One or two of these traders are relatively astute; others are downright destructive. Your overall performance suffers as a result. As Chief Executive Observer of your own account, what should you do?
 
…If you harbor multiple traders within you—some careful, some impulsive, some successful, some losing—your first task is to avoid labeling these traders and instead take an Observing stance. You need to figure out why these lousy traders within you are trading! They evidently are not trading simply for the monetary reward; if that were the case, they would never overrule the successful traders within you. The chances are good that they are trading to achieve something other than a good return on equity: a sense of excitement, a feeling of self-esteem, or an imposed self-image.
 
You do not fail at trading because you are masochistic or because you love failure or feel you deserve defeat. Rather, you sabotage your trading because you have different facets to your personality, each with its own needs, each clamoring for access to the trading account. Your trading suffers because you are not always trading with the equity stake firmly in mind. In a strange way, a losing trade can be a success to that part of you that is, for example, looking for excitement—not profits—from the markets.”

Profiting from Market Trends- Tina Logan (Book Review )

When the market accommodates, trend trading can be highly lucrative. The trick, of course, is to divine the market’s often fickle moods. Tina Logan sets out to help the trader identify and exploit the “good times” in Profiting from Market Trends: Simple Tools and Techniques for Mastering Trend Analysis(Wiley, 2014).
The book is divided into two parts. The first, trend development, has chapters on trend direction, trend duration, trend interruptions, early trend reversal warnings, and later trend reversal warnings. The second part, putting trend analysis to work, deals with the broad market, bull markets, bear markets, and monitoring the market trends; it also includes a case study of the current bull market. Throughout, the text is illustrated with TC2000 (Worden Brothers) charts.
Let’s look at the chapter on early trend reversal warnings to get a sense of the book as a whole. Logan summarizes the warnings in a table. In an uptrend they are: a bearish climax move such as a key reversal or an exhaustion gap, bearish divergence, failure to break a prior peak, change of slope—rising trendline, break of tight rising trendline, approaching a strong ceiling, and bearish candlestick reversal pattern. The warnings in a downtrend are the reverse. (more…)

Jim Chanos on Taking Risks Early

I took the biggest risk of my life at age 33 and I was terrified.

With a wife and two kids, a mortgage and almost nothing in the bank, I left my management position at a broker-dealer and dropped my Series 7. I essentially bolted from the business I had been in for a decade, giving up my license and my livelihood on a bet that I could be doing better for my clients as their advisor and make a lot more money once I was happy and the pit in my stomach dissolved.

And thank god it worked. I’m not sure what I would have done if it hadn’t.

In hindsight, I wouldn’t change much about my timing and all of what I had gone through to get things things right in the end – it was the real-world education of a lifetime. However, if I could change one thing, maybe it would be not waiting so long and staying with a profession that I truly hated. It probably would have been a lot less stressful had I pulled the ripcord in my twenties, before the babies and the bills.

Oh well.

Jim Chanos, one of the most successful investors of all time, began his career on The Street as a banker and then a brokerage firm analyst. The conflicts inherent in those roles drove him to seek out something more and that’s when he became a hedge fund manager. You see, Chanos was interested in the pursuit of truth and, what’s more, a way to make money from the discovery of truth before others could find it. The name of his firm, Kynikos Associates comes from the Greek word for cynic (and it can also mean ‘dog-like’, another apt metaphor for a fund that relentlessly hunts down meaning in the public information that others cannot see).

Here the legendary manager offers some advice to young professionals about timing their risk-taking: (more…)

Misbehaving: The Making of Behavioral Economics-Book Review

MISBEHAVING-ASRBehavioral economics is now mainstream, at least outside of the stodgiest of economics departments. In fact, as the author writes, “This maturation of the field is so advanced that when this book is published in 2015, barring impeachment, I will be in the midst of a year serving as the president of the American Economic Association, and Robert Shiller will be my successor. The lunatics are running the asylum!” (p. 335) How behavioral economics got to this point from its humble, academically risky beginnings in the 1970s is the subject of Richard H. Thaler’s Misbehaving: The Making of Behavioral Economics (W. W. Norton, 2015).

Traditional economics studies rational agents, whom Thaler calls Econs; behavioral economics studies Humans. Econs are a construct designed to fit a theory; Humans are real people whose often irrational activities provide data (supposedly irrelevant factors) for study and hypothesis formation.

Thaler’s book, a personal history of the struggles and triumphs of behavioral economics, is also a wonderful introduction to the field. It recounts study after study that show just how predictably error-prone people are. And it explains how businesses can use these findings to keep customers happy and how governments can use them for the public good.

Looking back, Thaler suggests that the area where behavioral economics has had its greatest impact is in finance. “No one would have predicted that in 1980. In fact, it was unthinkable, because economists knew that financial markets were the most efficient of all markets, the places where arbitrage was easiest, and thus the domain in which misbehaving was least likely to appear.“ And yet these markets exhibited tell-tale anomalies, for instance the storied case of Palm and 3Com. Moreover, he notes, “It also didn’t hurt that financial markets offer the best opportunities to make money if markets are misbehaving, so a lot of intellectual resources have gone into investigating possible profitable investment strategies.” (p. 346)

The area where it has had the least impact so far is macroeconomics. In part, at least, this is due to the fact that the field “lacks the two key ingredients that contributed to the success of behavioral finance: the theories do not make easily falsifiable predictions, and the data are relatively scarce.” (p. 337)

Misbehaving is a thoroughly enjoyable read, not quite right for the beach but perfect for a rainy Sunday afternoon.

Building Winning Algorithmic Trading Systems-Kevin J. Davey :Book Review

kevin

On balance expert systems trump human experts, hence the drive to make trading more systematic and mechanical. The problem is that Building Winning Algorithmic Trading Systems, the title of Kevin J. Davey’s new book (Wiley, 2014), can be tough. Davey recounts his sometimes gut-wrenching journey “from data mining to Monte Carlo simulation to live trading” and provides traders with useful information that will help them avoid his mistakes.

The author joins a rather small fraternity of systems developers who have shared their thoughts, for better or worse, with the reading public. I think here—and this list is in no way meant to be exhaustive—of Howard Bandy (Quantitative Trading Systems), Tushar Chande (Beyond Technical Analysis), Urban Jaekle and Emilio Tomasini (Trading Systems), Perry Kaufman (Trading Systems and Methods), Robert Pardo (The Evaluation and Optimization of Trading Strategies), and Thomas Stridsman (Trading Systems That Work).

The strength of Davey’s book is that it covers the entire process of designing, developing, testing, trading, and monitoring a system. It also includes Easy Language code for three sample strategies, and on the password-protected companion website (the password is given in the book) there are five helpful spreadsheets.
(more…)