Author: shyam

Technical Analysis of the Financial Markets: Ch 2

This is a review of the second chapter of John J. Murphy’s Technical Analysis of the Financial Markets.

Dow Theory

Most of what we call technical analysis today has its foundations in what Charles Dow proposed around the turn of the 19th century. His primary goal was to predict the course of the economy by looking at the stock market index he had created.

Basic Tenets

The averages discount everything

The sum of the transactions of the stock exchange represent the sum of all Wall Street’s knowledge of the past, present and distant, applied to the discounting of the future. The markets reflect every knowable factor that affects over all supply and demand.

The market has three trends

A trend has three parts:

  • primary (tides)
  • secondary (waves)
  • minor (ripples)

The direction of a tide can be determined by noting the highest point reached by successive waves. When the highpoint of each successive wave recedes, the tide has turned out and is ebbing. Dow opined that market tides last for more than a year and typically run for several years.

The secondary trends last three weeks to three months. These intermediate corrections retrace 1/3rd to 2/3rds of the previous trend movement and most frequently about 1/2 of the previous move.

The minor trends last for less than three weeks and represent fluctuations in the intermediate trend.

Major trends have three phases

Major trends go through distinct phases:

  1. accumulation: when informed buyers accumulate the stock
  2. public participation: when technical trend followers start buying
  3. distribution: when newspapers start printing the bullish case and informed buyers begin to “distribute”

This is similar to the Elliot Wave Principle we discussed earlier.

The averages must confirm each other

Dow would look for confirmation of a bull or bear signal from both the Industrial and Rail Averages.

Volume must confirm the trend

Volume should expand or increase in the direction of the major trend.

In a major uptrend, volumes increase as prices move higher and decrease as prices fall. In a downtrend, volumes increase as prices fall and decrease as prices rise.

A trend is assumed to be in effect until it gives definite signals that it has reversed

Newton’s law of motions: inertial drives trends.

Conclusion

Dow relied exclusively on closing prices. He believed that averages had to close higher than the previous peak or lower than the previous trough to have significance.

From 1920 to 1975, Dow Theory signals captured 68% of the moves in the Industrial and Transportation Averages and 67% of those in the S&P 500 index. An understanding of the Dow Theory provides a solid foundation for further studies in technical analysis.

Technical Analysis of the Financial Markets: Ch 1

This is the review of the first chapter of John J. Murphy’s Technical Analysis of the Financial Markets.

Philosophy of Technical Analysis

Technical analysis is the study of market action, primarily through the use of charts, for the purpose of forecasting future price trends.

It is based on the rationale that:

  1. Market action discounts everything. Anything that can possible affect the price – fundamentally, politically, psychologically, or otherwise – is actually reflected in the price.
  2. Prices move in trends. The purpose of charting price action is to identify and follow trends. Once a trend is setup, it is more likely to continue than to reverse.
  3. History repeats itself. Much of technical analysis is based on the study of human psychology, which tends not to change. The key to understanding the future lies in a study of the past.

Market price tends to lead the known fundamentals. Fundamental analysis is more of an explanation of why the price action occurred while technical analysis tries to predict that price action.

Technical analysis is rooted in statistics. It is a combination if descriptive statistics (graphical representation of data: a candlestick chart, for example) and inductive statistics (generalizations or predictions extrapolated from that data: indicators, for example).

Stay tuned for more!

Technical Analysis of the Financial Markets

I had done a chapter wise review of Tony Plummer’s Psychology of Technical Analysis a few months ago. Given the amount of interest it generated, I’ve decided to take a crack at reviewing the mother of all Technical Analysis books: John J. Murphy’s Technical Analysis of the Financial Markets.

Here’s how Amazon.com describes the book:

This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, inter-market relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets.

I suggest you get your copy today and join me on this journey toward a better understanding technical analysis!

Follow me on twitter @SunderStockViz

NREGA is evil

Farmer plowing in Fahrenwalde, Mecklenburg-Vor...

Image via Wikipedia

I have always maintained that the Mahatma Gandhi National Rural Employment Guarantee Act (MNREGA) is evil. Its evil both philosophically and by intent. It was sold as a scheme to create productive job opportunities for rural labor during the non-farming season and was supposed to be active in districts with acute unemployment problems. However, it has morphed into a major boondoggle.

I blame NREGA on our persistently high inflation and our seeming inability to grasp that  unproductive transfer payments always end in tears for the tax payers. And now, Morgan Stanley concurs:

This program has had an adverse impact on domestic inflation for three reasons:

  1. it discouraged workers to go to farms;
  2. local governments that did not have the administrative setup to run this program ended up transferring payouts to workers without getting the full productive utilization of the workers’ time; and
  3. those receiving these transfers ended up spending more on food (particularly protein items), since this represents a large proportion of their consumption basket.

Labour Bureau statistics indicate that, over the last three years, agricultural wages in India have risen by a cumulative 105%, compared with nominal GDP growth of 64% in the agriculture sector.

So the rural farm sector sees an unproductive increase in wages while the urban labor productivity weakens due to global economic slowdown and purchasing power decreases due to the Reserve Bank hiking rates 13 times in a row!

I call NREGA evil precisely because it prevents the movement of labor from unproductive sectors to productive ones. If the goal is to keep the poor unproductive and to pull down the lower middle classes back into poverty, then NREGA has been an unprecedented success. When will this madness end?

Lady Leverage

Hussman’s Weekly Market Comment is a must read for anyone interested in finance. Here’s a choice quote from his latest:

European leaders have announced “We have agreed to solve our debt problem, leveraging money we do not have, to create a fund, which will then borrow several times that amount, in order to buy enormous amounts of new debt that we will need to issue.”

 

On a side note, MF Global’s 40:1 leveraged $6 billion bet on PIIGS debt, an itch that Corzine had to absolutely scratch, is probably going to result in a bankruptcy filing and a sale to Interactive Brokers. So much for becoming the next Goldman Sachs…