Technical analysis (or chartism) is the use of numerical series generated by market activity, such as price and volume, to predict future price trends. The techniques can be applied to any market with a comprehensive price history.
Primarily, but not exclusively, technical analysis is conducted by studying charts of past price movement. Many different methods and tools are used in technical analysis, but they all rely on the assumption that price patterns and trends exist in markets, and that they can be identified and exploited.
Technical analysis does not try to analyze the financial data of a company such as cashflow, dividends and projection of future dividends. That type of analysis is called fundamental analysis. Nor does it claim to be 100% accurate. It attempts to give the "most likely" outcome.
Some speculators combine elements from both technical and fundamental analysis. (A budding field known as fusion analysis explicitly advocates the combined use of fundamental and technical analysis.) Technical analysis is viewed by many of its practitioners as more art than science. Many academic studies conclude that technical analysis has little, if any, predictive power. However, the practice has a dedicated following especially among active traders and does have support among the academic community.
As an example of the debate regarding the efficacy of technical analysis, Peter Lynch, a very well-known and successful fundamental analyst, once commented, "Charts are great for predicting the past." On the other hand, the U.S. Federal Reserve once published a study saying that certain elements of technical analysis were effective in price forecasting in the intraday foreign exchange market.
History The premises of technical analysis were derived from empirical observations of financial markets over hundreds of years. Perhaps the oldest branch of technical analysis is the use of candlestick techniques by Japanese traders at least as early as the 18th century, and still very popular today.
Dow Theory, a theory based on the collected writings of Dow Jones co-founder and editor Charles Dow, inspired the increasingly widespread use and development of technical analysis from the end of the 19th century. Modern technical analysis considers Dow Theory its cornerstone.
New tools and theories have been produced and existing tools have been enhanced at a rapid rate in recent decades, with an increasing emphasis on computer-assisted techniques.
Theory Technical analysis is not concerned with why a price is moving (e.g. poor earnings, difficult business environment, poor management, or other fundamentals) but rather whether it is moving in a particular direction or in a particular chart pattern. Technical analysts believe that profits can be made by "trend following." In other words if a particular stock price is steadily rising (trending upward) then a technical analyst will look for opportunities to buy this stock. Until the technical analyst is convinced this uptrend has reversed or ended, all else equal, he will continue to own this security. Additionally, technical analysts look for various price patterns to form on a price chart and will take positions in anticipation of the expected move following that pattern. The various tools of technical analysis assist the technician in determining when trends have formed, ended, etc. and when particular patterns are unfolding.
Technical analysis may be at odds with fundamental analysis. Fundamental analysis maintains that markets may misprice a security and, through various methods of fundamental analysis, the "correct" price can be calculated. Profits can be made by trading the mispriced security and then waiting for the market to recognize its "mistake" and reprice the security. In contrast, a technical analyst is not interested in a security's "correct" price, only in price movement.
Two well known sayings among technical analysts are, "The trend is your friend," and "Forget the fundamentals and follow the money." An example of the different views of technical and fundamental analysis follows. Suppose a stock was trading at 124.25 pence, and that the consensus fundamental analysis view of the stock was that it was worth 120.00 pence. If the share price rose to 125.00 pence, then to 126.00 pence, and then to 127.00 pence, a technical analyst would likely be a buyer of this stock in order to profit from the perceived trend. In contrast, a fundamental analyst would possibly look to sell the stock as it is moving away from what the fundamental analyst believes is the "correct" price.
Three Beliefs of Technical Analysis
Price action in the market discounts everything Technical analysis holds that because every possible bit of information is immediately included in the price of a security, it is not necessary to explicitly analyze the fundamental, economic, political, etc. factors that might influence that price. Because all possible information is reflected in the price, only a study of the price movement is required. Murphy. Technical Analysis of the Financial Markets, 24 - 31.
Prices move in trends While it cannot be shown that prices must trend, technical analysis relies on empirical evidence and common sense to assert that prices do trend. To a technician, markets are trending up, trending down, or trending sideways (flat). This definition of a price trend is essentially the one put forward by Dow Theory. Murphy. Technical Analysis of the Financial Markets, 24 - 31.
A person who does not believe that prices move in trends will find little use for technical analysis. The assumption that prices must trend is probably the most important concept in technical analysis.
History tends to repeat itself Technical analysts believe that investors en masse repeat the behavior of the investors that preceded them. "Everyone wants in on the next Microsoft," "If this stock ever gets to $50 again, I will buy it," "This company's technology will revolutionize its industry, therefore this stock will skyrocket,"-- these are all examples of investors' attitudes repeating. To a technical analyst, the human characteristics of the market might be irrational, but they exist. Because investors' attitudes often repeat, investors' actions in the marketplace often repeat as well. I.e., patterns of price movement will develop on a chart that a technical analyst believes have predictive qualities.
Technical analysis is not limited to charting. Technical analysis is always primarily concerned with price trends. Anything that can influence the price trend is of interest to a technical analyst. As an example, many technical analysts monitor surveys of investor enthusiasm. These surveys attempt to gauge the general attitude of the investment community to determine whether investors are bearish or bullish. Technical analysts use these surveys to help determine whether a trend will reverse or whether a new trend will develop. A technical analyst would be alerted that a trend might change when these surveys report extreme investor reactions. When surveys are overly bullish, for example, a technical analyst will look for evidence that an uptrend will reverse. The logic being that if most investors are bullish, then they would have already bought the market (anticipating that the market will move higher). But because most investors are bulllish and have invested, it is safe to assume that there are few buyers remaining in the market. With most investors long, there are more potential sellers in the market than buyers despite the fact that the overall attitude of investors is bullish. This implies that the market is set to trend down and is an example of a technical analysis concept called contrarian trading.
Criticism of Technical Analysis Lack of evidence Although chartists assert that their techniques provide excess returns over time, this assertion is controversial. Many academics believe that technical analysis has no predictive power. Burton Malkiel in his book "A Random Walk Down Wall Street" (8th edition, 2003) and Eugene Fama in "Efficient Capital Markets: A Review of Theory and Empirical Work," May 1970 Journal of Financesummarize many early studies, conducted from the 1950s-70s, that show that after trading costs are considered, the returns generated by many technical strategies underperform a simple buy and hold strategy.
Cheol-Ho Park and Scott H. Irwin [1] reviewed 93 modern studies on the profitability of technical analysis and considered 59 of them to indicate positive results, and 24 negative results. "Despite the positive evidence ... it appears that most empirical studies are subject to various problems in their testing procedures, e.g., data snooping, ex post selection of trading rules or search technologies, and difficulties in estimation of risk and transaction costs." See also [2].
Critics of technical analysis include well known fundamental analysts. Warren Buffett has exclaimed, "I realized technical analysis didn't work when I turned the charts upside down and didn't get a different answer" and "If past history was all there was to the game, the richest people would be librarians." Still, even an investor like Buffett occasionally recognizes technical analysis. In a recent conference on investing in mining companies, Buffett commented, "In metals and oils, there's been a terrific [price] move. It's like most trends: at the beginning, it's driven by fundamentals, then speculation takes over...then the speculation becomes dominant." To a technician, Buffett basically paraphrased Dow Theory.
Inconsistencies with Other Market Hypotheses
The Efficient Market Hypothesis The efficient market hypothesis (EMH) concludes that technical analysis cannot be effective. According to this hypothesis, all relevant information is quickly reflected in a security's price through the actions of traders who have that information. Thus, it is impossible to "beat the market," and technical analysis cannot work. News events and new fundamental developments which influence prices occur randomly and are unknowable in advance. Advocates of EMH have produced many studies that reject the efficacy of technical analysis.
Proponents of technical analysis counter that technical analysis does not completely contradict the efficient market hypothesis. Technicians agree with EMH in that they believe that all available information is reflected within a security's price; that is why technicians say a study of the price movement is necessary. Technicians argue that EMH ignores the realities of the market place, namely that many investors base their future expectations on past earnings, track records, etc. Because future stock prices can be strongly influenced by investor expectations, technicians claim it only follows that past prices can influence future prices.
Technicians point to the new field of behavioral finance. Behavioral finance essentially says that people are not the rational participants EMH makes them out to be. Market participants can and do act irrationally. Technicians have long held that irrational human behavior influences stock prices and claim to have ways of predicting probable outcomes based on this behavior.
The Random Walk Hypothesis The random walk hypothesis is also at odds with technical analysis and charting. Essentially, the hypothesis claims that stock price moments are a Brownian Motion with either independent or uncorrelated increments. In this model, movements in stock prices are not dependent on past stock prices, so trends cannot exist and technical analysis has no basis. Again, proponents of this theory have generated substantial research in support of the hypothesis.
The random walk hypothesis may be derived from the weak-form efficient markets hypothesis, which is based on the assumption that market participants take full account of any information contained in past price movements (but not necessarily other public information).
Technical analysts maintain that trends are identifiable in the market and that it is impractical to believe that market prices move in a random fashion. To a technician, over time prices will trend in a direction until supply equals demand. Therefore, there cannot be any pure random price movement. As stated earlier, one of the cornerstones of technical analysis is that prices trend. If one does not believe this concept, one will not agree with technical analysis.
Also, with regards to EMH and Random Walk Theory, technicians claim that both theories ignore the realities of the marketplace. To a technician, the market is neither composed of completely rational participants as EMH assumes (participants can be greedy, overly risky, etc. at any given time) nor is its stock price movement completely independent of its prior movement (technicians will point at charts like AOL above). Technicians maintain that both theories would also invalidate numerous other trading strategies such as index arbitrage, statistical arbitrage and many other trading systems.
Proponents of Technical Analysis To many traders, trading in the direction of the trend is the most effective means to be profitable in financial or commodities markets. John Henry, Larry Hite, Ed Seykota, Richard Dennis, Bruce Kovner, and Michael Marcus (some of the so-called Market Wizards in the popular book of the same name by Jack D. Schwager) have each amassed massive fortunes through the use of technical analysis and its concepts. George Lane, a technical analyst, coined one of the most popular phrases on Wall Street, "The trend is your friend!"
Many non-arbitrage algorithmic trading systems rely on the idea of trend-following, as do many hedge funds. A relatively recent trend, both in research and industrial practice, has been the development of increasingly sophisticated automated trading strategies. These often rely on underlying technical analysis principles (see algorithmic trading article for an overview).
Charting terms and indicators Many different techniques and indicators can be used to follow and predict trends in markets, and usually at least a few at a time are considered when making an investment decision. Some of the most widely known include:
Accumulation/distribution index - based on the close within the day's range Average true range - averaged daily trading range Bollinger bands - a range of price volatility Breakout - when a price passes through and stays above an area of support or resistance Commodity Channel Index - identifies cyclical trends Hikkake Pattern - pattern for identifying reversals and continuations MACD - moving average convergence/divergence Momentum - the rate of price change Money Flow - the amount of stock traded on days the price went up Moving average - lags behind the price action, On balance volume - the momentum of buying and selling stocks PAC charts - two-dimensional method for charting volume by price level Parabolic SAR - Wilder's trailing stop based on prices tending to stay within a parabolic curve during a strong trend Pivot point - derived by calculating the numerical average of a particular currency's or stock's high, low and closing prices. Point and figure charts - charts based on price without time Relative Strength Index - oscillator showing price strength. Resistance - an area that brings on increased selling Stochastic oscillator, close position within recent trading range Stop loss - controls drawdown Support - an area that brings on increased buying Trend line - a sloping line of support or resistance
