Technical Analysis

Definition 1:
Technical Analysis is the forecasting of future financial price movements based on an examination of past price movements. Like weather forecasting, technical analysis does not result in absolute predictions about the future. Instead, technical analysis can help investors anticipate what is "likely" to happen to prices over time. Technical analysis uses a wide variety of charts that show price over time.
Technical analysis is the forecasting of market prices by means of analysis of data generated by the process of trading.

Technical analysis relies on the assumption that markets discount everything except information generated by market action, ergo, all you need is data generated by market action.

Wikipedia definition:
"Technical analysts (or technicians) identify non-random price patterns and trends in financial markets and attempt to exploit those patterns ^[11] While technicians use various methods and tools, the study of price charts is primary. Technicians especially search for archetypal patterns, such as the well-known head and shoulders reversal pattern, and also study such indicators as price, volume, and moving averages of the price. Many technical analysts also follow indicators of investor psychology (market sentiment)."

Essentially, technical analysis examines two areas of investing: the analysis of market "psych" (or sentiment), and the analysis of supply/demand (whether investors have the funds to support their hopes and fears). A bullish investor without funds cannot take the market higher.

Technicians seek to forecast price movements such that large gains from successful trades exceed more numerous but smaller losing trades, producing positive returns in the long run through proper risk control and money management.

There are several schools of technical analysis. Adherents of different schools (for example, candlestick charting, Dow Theory, and Elliott wave theory) may ignore the other approaches, yet many traders combine elements from more than one school. Technical analysts use judgment gained from experience to decide which pattern a particular instrument reflects at a given time, and what the interpretation of that pattern should be. Technical analysts may disagree among themselves over the interpretation of a given chart.

Technical analysis is frequently contrasted with fundamental analysis, the study of economic factors that some analysts say can influence prices in financial markets. Pure technical analysis holds that prices already reflect all such influences before investors are aware of them, hence the study of price action alone. Some traders use technical or fundamental analysis exclusively, while others use both types to make trading decisions."

Technical analysis is applicable to stocks, indices, commodities, futures or any tradable instrument where the price is influenced by the forces of supply and demand. Price refers to any combination of the open, high, low, or close for a given security over a specific time frame. The time frame can be based on intraday (1-minute, 5-minutes, 10-minutes, 15-minutes, 30-minutes or hourly), daily, weekly or monthly price data and last a few hours or many years. In addition, some technical analysts include volume or open interest figures with their study of price action.

The Basis of Technical Analysis

At the turn of the century, the Dow Theory laid the foundations for what was later to become modern technical analysis. Dow Theory was not presented as one complete amalgamation, but rather pieced together from the writings of Charles Dow over several years. Of the many theorems put forth by Dow, three stand out:

• Price Discounts Everything
• Price Movements Are Not Totally Random
• What Is More Important than Why

Price Discounts Everything

This theorem is similar to the strong and semi-strong forms of market efficiency. Technical analysts believe that the current price fully reflects all information. Because all information is already reflected in the price, it represents the fair value, and should form the basis for analysis. After all, the market price reflects the sum knowledge of all participants, including traders, investors, portfolio managers, buy-side analysts, sell-side analysts, market strategist, technical analysts, fundamental analysts and many others. It would be folly to disagree with the price set by such an impressive array of people with impeccable credentials. Technical analysis utilizes the information captured by the price to interpret what the market is saying with the purpose of forming a view on the future.

Prices Movements are not Totally Random

Most technicians agree that prices trend. However, most technicians also acknowledge that there are periods when prices do not trend. If prices were always random, it would be extremely difficult to make money using technical analysis. In his book, Schwager on Futures: Technical Analysis, Jack Schwager states:

"One way of viewing it is that markets may witness extended periods of random fluctuation, interspersed with shorter periods of nonrandom behavior. The goal of the chartist is to identify those periods (i.e. major trends)."

A technician believes that it is possible to identify a trend, invest or trade based on the trend and make money as the trend unfolds. Because technical analysis can be applied to many different time frames, it is possible to spot both short-term and long-term trends. The IBM chart illustrates Schwager's view on the nature of the trend. The broad trend is up, but it is also interspersed with trading ranges. In between the trading ranges are smaller uptrends within the larger uptrend. The uptrend is renewed when the stock breaks above the trading range. A downtrend begins when the stock breaks below the low of the previous trading range.

"What" is More Important than "Why"

In his book, The Psychology of Technical Analysis, Tony Plummer paraphrases Oscar Wilde by stating, "A technical analyst knows the price of everything, but the value of nothing". Technicians, as technical analysts are called, are only concerned with two things:

1. What is the current price?
2. What is the history of the price movement?

The price is the end result of the battle between the forces of supply and demand for the company's stock. The objective of analysis is to forecast the direction of the future price. By focusing on price and only price, technical analysis represents a direct approach. Fundamentalists are concerned with why the price is what it is. For technicians, the why portion of the equation is too broad and many times the fundamental reasons given are highly suspect. Technicians believe it is best to concentrate on what and never mind why. Why did the price go up? It is simple, more buyers (demand) than sellers (supply). After all, the value of any asset is only what someone is willing to pay for it. Who needs to know why?

General Steps to Technical Evaluation

Many technicians employ a top-down approach that begins with broad-based macro analysis. The larger parts are then broken down to base the final step on a more focused/micro perspective. Such an analysis might involve three steps:

1. Broad market analysis through the major indices such as the S&P 500, Dow Industrials, NASDAQ and NYSE Composite.
2. Sector analysis to identify the strongest and weakest groups within the broader market.
3. Individual stock analysis to identify the strongest and weakest stocks within select groups.

The beauty of technical analysis lies in its versatility. Because the principles of technical analysis are universally applicable, each of the analysis steps above can be performed using the same theoretical background. You don't need an economics degree to analyze a market index chart. You don't need to be a CPA to analyze a stock chart. Charts are charts. It does not matter if the time frame is 2 days or 2 years. It does not matter if it is a stock, market index or commodity. The technical principles of support, resistance, trend, trading range and other aspects can be applied to any chart. While this may sound easy, technical analysis is by no means easy. Success requires serious study, dedication and an open mind.

Chart Analysis

Technical analysis can be as complex or as simple as you want it. The example below represents a simplified version. Since we are interested in buying stocks, the focus will be on spotting bullish situations.

Overall Trend: The first step is to identify the overall trend. This can be accomplished with trend lines, moving averages or peak/trough analysis. As long as the price remains above its uptrend line, selected moving averages or previous lows, the trend will be considered bullish.

Support: Areas of congestion or previous lows below the current price mark support levels. A break below support would be considered bearish.

Resistance: Areas of congestion and previous highs above the current price mark the resistance levels. A break above resistance would be considered bullish.

Momentum: Momentum is usually measured with an oscillator such as MACD. If MACD is above its 9-day EMA (exponential moving average) or positive, then momentum will be considered bullish, or at least improving.

Buying/Selling Pressure: For stocks and indices with volume figures available, an indicator that uses volume is used to measure buying or selling pressure. When Chaikin Money Flow is above zero, buying pressure is dominant. Selling pressure is dominant when it is below zero.

Relative Strength: The price relative is a line formed by dividing the security by a benchmark. For stocks it is usually the price of the stock divided by the S&P 500. The plot of this line over a period of time will tell us if the stock is outperforming (rising) or under performing (falling) the major index.

The final step is to synthesize the above analysis to ascertain the following:

• Strength of the current trend.
• Maturity or stage of current trend.
• Reward to risk ratio of a new position.
• Potential entry levels for new long position.

Top-Down Technical Analysis

For each segment (market, sector and stock), an investor would analyze long-term and short-term charts to find those that meet specific criteria. Analysis will first consider the market in general, perhaps the S&P 500. If the broader market were considered to be in bullish mode, analysis would proceed to a selection of sector charts. Those sectors that show the most promise would be singled out for individual stock analysis. Once the sector list is narrowed to 3-4 industry groups, individual stock selection can begin. With a selection of 10-20 stock charts from each industry, a selection of 3-4 of the most promising stocks in each group can be made. How many stocks or industry groups make the final cut will depend on the strictness of the criteria set forth. Under this scenario, we would be left with 9-12 stocks from which to choose. These stocks could even be broken down further to find the 3-4 of the strongest of the strong.

Focus on Price

If the objective is to predict the future price, then it makes sense to focus on price movements. Price movements usually precede fundamental developments. By focusing on price action, technicians are automatically focusing on the future. The market is thought of as a leading indicator and generally leads the economy by 6 to 9 months. To keep pace with the market, it makes sense to look directly at the price movements. More often than not, change is a subtle beast. Even though the market is prone to sudden knee-jerk reactions, hints usually develop before significant moves. A technician will refer to periods of accumulation as evidence of an impending advance and periods of distribution as evidence of an impending decline.

Supply, Demand, and Price Action

Many technicians use the open, high, low and close when analyzing the price action of a security. There is information to be gleaned from each bit of information. Separately, these will not be able to tell much. However, taken together, the open, high, low and close reflect forces of supply and demand.

The annotated example above shows a stock that opened with a gap up. Before the open, the number of buy orders exceeded the number of sell orders and the price was raised to attract more sellers. Demand was brisk from the start. The intraday high reflects the strength of demand (buyers). The intraday low reflects the availability of supply (sellers). The close represents the final price agreed upon by the buyers and the sellers. In this case, the close is well below the high and much closer to the low. This tells us that even though demand (buyers) was strong during the day, supply (sellers) ultimately prevailed and forced the price back down. Even after this selling pressure, the close remained above the open. By looking at price action over an extended period of time, we can see the battle between supply and demand unfold. In its most basic form, higher prices reflect increased demand and lower prices reflect increased supply.

Support/Resistance

Simple chart analysis can help identify support and resistance levels. These are usually marked by periods of congestion (trading range) where the prices move within a confined range for an extended period, telling us that the forces of supply and demand are deadlocked. When prices move out of the trading range, it signals that either supply or demand has started to get the upper hand. If prices move above the upper band of the trading range, then demand is winning. If prices move below the lower band, then supply is winning.

Pictorial Price History

Even if you are a tried and true fundamental analyst, a price chart can offer plenty of valuable information. The price chart is an easy to read historical account of a security's price movement over a period of time. Charts are much easier to read than a table of numbers. On most stock charts, volume bars are displayed at the bottom. With this historical picture, it is easy to identify the following:

• Reactions prior to and after important events.
• Past and present volatility.
• Historical volume or trading levels.
• Relative strength of a stock versus the overall market.

Assist with Entry Point

Technical analysis can help with timing a proper entry point. Some analysts use fundamental analysis to decide what to buy and technical analysis to decide when to buy. It is no secret that timing can play an important role in performance. Technical analysis can help spot demand (support) and supply (resistance) levels as well as breakouts. Simply waiting for a breakout above resistance or buying near support levels can improve returns.

It is also important to know a stock's price history. If a stock you thought was great for the last 2 years has traded flat for those two years, it would appear that Wall Street has a different opinion. If a stock has already advanced significantly, it may be prudent to wait for a pullback. Or, if the stock is trending lower, it might pay to wait for buying interest and a trend reversal.

Weaknesses of Technical Analysis

Analyst Bias

Just as with fundamental analysis, technical analysis is subjective and our personal biases can be reflected in the analysis. It is important to be aware of these biases when analyzing a chart. If the analyst is a perpetual bull, then a bullish bias will overshadow the analysis. On the other hand, if the analyst is a disgruntled eternal bear, then the analysis will probably have a bearish tilt.

Open to Interpretation

Furthering the bias argument is the fact that technical analysis is open to interpretation. Even though there are standards, many times two technicians will look at the same chart and paint two different scenarios or see different patterns. Both will be able to come up with logical support and resistance levels as well as key breaks to justify their position. While this can be frustrating, it should be pointed out that technical analysis is more like an art than a science, somewhat like economics. Is the cup half-empty or half-full? It is in the eye of the beholder.

Too Late

Technical analysis has been criticized for being too late. By the time the trend is identified, a substantial portion of the move has already taken place. After such a large move, the reward to risk ratio is not great. Lateness is a particular criticism of Dow Theory.

Always Another Level

Even after a new trend has been identified, there is always another "important" level close at hand. Technicians have been accused of sitting on the fence and never taking an unqualified stance. Even if they are bullish, there is always some indicator or some level that will qualify their opinion.

Trader's Remorse

Not all technical signals and patterns work. When you begin to study technical analysis, you will come across an array of patterns and indicators with rules to match. For instance: A sell signal is given when the neckline of a head and shoulders pattern is broken. Even though this is a rule, it is not steadfast and can be subject to other factors such as volume and momentum. In that same vein, what works for one particular stock may not work for another. A 50-day moving average may work great to identify support and resistance for IBM, but a 70-day moving average may work better for Yahoo. Even though many principles of technical analysis are universal, each security will have its own idiosyncrasies.

Conclusions

Technical analysts consider the market to be 80% psychological and 20% logical. Fundamental analysts consider the market to be 20% psychological and 80% logical. Psychological or logical may be open for debate, but there is no questioning the current price of a security. After all, it is available for all to see and nobody doubts its legitimacy. The price set by the market reflects the sum knowledge of all participants, and we are not dealing with lightweights here. These participants have considered (discounted) everything under the sun and settled on a price to buy or sell. These are the forces of supply and demand at work. By examining price action to determine which force is prevailing, technical analysis focuses directly on the bottom line: What is the price? Where has it been? Where is it going?

Even though there are some universal principles and rules that can be applied, it must be remembered that technical analysis is more an art form than a science. As an art form, it is subject to interpretation. However, it is also flexible in its approach and each investor should use only that which suits his or her style. Developing a style takes time, effort and dedication, but the rewards can be significant.

Books and Paper on Technical Analysis

• ACHELIS, Steven B., 2000. Technical Analysis from A to Z. Second ed. McGraw-Hill.
• ARONSON, David R., 2006. Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals. Hoboken, New Jersey: John Wiley & Sons, Inc.
• EDWARDS, Robert D., John MAGEE, and W. H. C. BASSETTI, 2001. Technical Analysis of Stock Trends. Eighth ed. CRC Press LLC.
• MURPHY, John J., 1999. Technical Analysis of the Financial Markets. New York Institute of Finance.
• PRING, Martin J., 2002. Technical Analysis Explained: The Successful Investor’s Guide to Spotting Investment Trends and Turning Points. Fourth ed. McGraw-Hill.

• ACHELIS, S.B., 2001. Technical analysis from A to Z. reiters.com. [Cited by 112] (17.94/year)
• ALLEN, H. and M.P. TAYLOR, 1992. The Use of Technical Analysis in the Foreign Exchange Market. Journal of International Money and Finance. [Cited by 25] (1.64/year)
• ANDERSEN, J.V., S. GLUZMAN and D. SORNETTE, 2000. Fundamental framework for" technical analysis" of market prices. The European Physical Journal B-Condensed Matter. [Cited by 18] (2.48/year)
• ANTONIOU, A., 1997. Technical analysis, trading volume and market efficiency: evidence from an emerging market. Applied Financial Economics. [Cited by 14] (1.37/year)
• AUSLOOS, M. and K. IVANOVA, 2002. Mechanistic approach to generalized technical analysis of share prices and stock market indices. The European Physical Journal B-Condensed Matter. [Cited by 13] (2.48/year)
• BESSEMBINDER, H. and K. CHAN, 1998. Market Efficiency and the Returns to Technical Analysis. Financial Management. [Cited by 48] (5.19/year)
• BESSEMBINDER, H. and K. CHAN, 1995. The profitability of technical trading rules in the Asian stock markets. Pacific-Basin Finance Journal. [Cited by 44] (3.59/year)
• BLUME, L. and D. EASLEY, M. O'Hara (1994)," Market Statistics and Technical Analysis: The Role of Volume. Journal of Finance. [Cited by 13] (?/year)
• BLUME, L., D. EASLEY and M.O.&.#.3.9.;.H.A.R.A. , 1994. Market Statistics and Technical Analysis: The Role of Volume. The Journal of Finance. [Cited by 290] (21.90/year)
• BOHNENBLUST, H. and P. SLOVIC, 1998. Integrating technical analysis and public values in risk-based decision making. Reliability Engineering and System Safety. [Cited by 24] (2.60/year)
• BROCK, W., J. LAKONISHOK and B. LEBARON, 1992. Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. The Journal of Finance. [Cited by 450] (29.52/year)
• BROWN, D.P. and R.H. JENNINGS, Review of Financial Studies. On technical analysis. [Cited by 151] (?/year)
• BRUNNERMEIER, M.K., 2001. Asset Pricing Under Asymmetric Information: bubbles, crashes, technical analysis, and herding. books.google.com. [Cited by 118] (18.90/year)
• CAGINALP, G. and D. BALENOVICH, 1996. Trend-based asset flow in technical analysis and securities marketing. Psychology and Marketing. [Cited by 8] (0.71/year)
• CAMERON, K. and R. LAGOYDA, 1997. Cash and Counseling Technical Analysis# 1: The Counseling Component, Draft. Washington, DC: Center on Consumer-Directed Services at the …. [Cited by 7] (0.68/year)
• CESARI, R. and D. CREMONINI, 2003. Benchmarking, portfolio insurance and technical analysis: a Monte Carlo comparison of dynamic …. Journal of Economic Dynamics and Control. [Cited by 14] (3.30/year)
• CHANG, P.H.K. and C.L. OSLER, 1999. Methodical Madness: Technical Analysis and the Irrationality of Exchange-rate Forecasts. The Economic Journal. [Cited by 39] (4.73/year)
• CHANG, P.H.K., C.L. OSLER and F.E.D.E.R.A.L. RESERVE, 1994. Evaluating Chart-based Technical Analysis: The Head-and-Shoulders Pattern in Foreign Exchange …. Federal Reserve Bank of New York. [Cited by 8] (0.60/year)
• CHOU, S.T., et al., 1997. A stock selection DSS combining AI and technical analysis. Annals of Operations Research. [Cited by 8] (0.78/year)
• CUMMINGS, T.G., 1978. Self-regulating work groups: A socio-technical analysis. Academy of Management Review. [Cited by 8] (0.27/year)
• CURCIO, R., et al., 1997. Do Technical Trading Rules Generate Pro? ts? Conclusions from the Intra-Day Foreign Exchange Market. Int. J. Fin. Econ. [Cited by 21] (2.05/year)
• DEMARK…, T.R., 1994. The New Science of Technical Analysis. books.google.com. [Cited by 13] (0.98/year)
• DEMPSTER, M.A.H., et al., 2001. Computational learning techniques for intraday FX trading usingpopular technical indicators. Neural Networks, IEEE Transactions on. [Cited by 25] (4.00/year)
• DORFMAN, M. and Y. SIN, 2000. China: Social Security Reform, Technical Analysis of Strategic Options. Human Development Network, The World Bank. December. [Cited by 13] (1.79/year)
• DOSI, G., K. PAVITT and L. SOETE, 1990. The economics of technical change and international trade. Harvester Wheatsheaf New York. [Cited by 434] (25.17/year)
• DOURRA, H. and P. SIY, 2002. Investment using technical analysis and fuzzy logic. Fuzzy Sets and Systems. [Cited by 17] (3.24/year)
• DUCHENEAUT, N., 2005. Socialization in an Open Source Software Community: A Socio-Technical Analysis. Computer Supported Cooperative Work (CSCW). [Cited by 17] (7.58/year)
• DYMOV, A.M., 1964. Technical Analysis. Metallurgiya, Moscow. [Cited by 7] (0.16/year)
• EDWARDS, R.D. and J. MAGEE, 2001. Technical Analysis of Stock Trends. books.google.com. [Cited by 144] (23.06/year)
• FABOZZI, F.J. and F. MODIGLIANI, 1996. Capital markets: institutions and instruments. books.global-investor.com. [Cited by 105] (9.34/year)
• FANG, Y. and D. XU, 2003. The predictability of asset returns: an approach combining technical analysis and time series …. International Journal of Forecasting. [Cited by 8] (1.89/year)
• FERNANDEZ-RODRIGUEZ, F., C. GONZALEZ-MARTEL and S. , 2000. On the Profitability of Technical Trading Rules Based on Artificial Neural Networks: Evidence from …. Economics Letters. [Cited by 37] (5.11/year)
• FERN?NDEZ-RODR?GUEZ, F., S. SOSVILLA-RIVERO and J. , 2003. Technical analysis in foreign exchange markets: evidence from the EMS. Applied Financial Economics. [Cited by 11] (2.59/year)
• FIESS, N. and R. MACDONALD, 2002. Towards the fundamentals of technical analysis: analysing the information content of High, Low and …. Economic Modelling. [Cited by 8] (1.53/year)
• FRANKEL, J.A. and K.A. FROOT, 1990. Chartists, Fundamentalists, and Trading in the Foreign Exchange Market. The American Economic Review. [Cited by 188] (10.90/year)
• FYFE, C., 1999. Technical analysis versus market efficiency-a genetic programming approach. Applied Financial Economics. [Cited by 9] (1.09/year)
• GEELS, F.W., 2002. … the Dynamics of Technological Transitions: A Co-evolutionary and Socio-technical Analysis. Twente University Press. [Cited by 72] (13.73/year)
• GEHRIG, T. and L. MENKHOFF, 2003. Extended Evidence on the Use of Technical Analysis in Foreign Exchange. International Journal of Finance and Economics. [Cited by 12] (2.83/year)
• GIFFORD, E., 1995. Investor's guide to technical analysis. Pitman Publishing London. [Cited by 9] (0.74/year)
• HORNIK, K., M. STINCHCOMBE and H. WHITE, 1989. Multilayer feedforward networks are universal approximators. Neural Networks. [Cited by 3341] (183.13/year)
• JEGADEESH, N., 2000. Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical …. The Journal of Finance. [Cited by 8] (1.10/year)
• JOBMAN, D.R., 1995. The Handbook of Technical Analysis: A Comprehensive Guide to Analytical Methods, Trading Systems and …. McGraw-Hill. [Cited by 10] (0.82/year)
• JONES, E.L., 1989. Freehand homograft aortic valve replacement--the learning curve: a technical analysis of the first …. The Annals of Thoracic Surgery. [Cited by 15] (0.82/year)
• KAHN, M. and M. KHAN, 1999. Technical Analysis Plain & Simple. books.global-investor.com. [Cited by 5] (0.61/year)
• KAVAJECZ, K.A. and E.R. ODDERS-WHITE, 2004. Technical Analysis and Liquidity Provision. Review of Financial Studies. [Cited by 22] (6.78/year)
• KEEPIN, B. and B. WYNNE, 1984. Technical analysis of IIASA energy scenarios. Nature. [Cited by 18] (0.77/year)
• KIRSCHBAUM, M.U.F., et al., 1996. … Change 1995 Impacts, Adaptations and Mitigation of Climate Change: Scientific-Technical Analysis. [Cited by 19] (1.69/year)
• KOLESNIKOV, A.L., shed. Technical Analysis of Raw Materials. Intermediates, and Fi. [Cited by 7] (?/year)
• LASHER, S., M. STRATONOVA and J. THIJSSEN, Proceedings of the 2001 US Department of Energy (DOE) …. Hydrogen Technical Analysis. [Cited by 7] (?/year)
• LAZARUS, M. and L. GREBER, 1993. … Free Energy Future: The Next Energy Transition: a Technical Analysis for Greenpeace International. Stockholm Environment Institute, Boston Center. [Cited by 37] (2.60/year)
• LEIGH, W., et al., 2002. Stock market trading rule discovery using technical charting heuristics. Expert Systems With Applications. [Cited by 19] (3.62/year)
• LEIGH, W., R. PURVIS and J.M. RAGUSA, 2002. Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, …. Decision Support Systems. [Cited by 36] (6.86/year)
• LI, J. and E.P.K. TSANG, 1999. Improving technical analysis predictions: an application of genetic programming. Proceedings of The 12th International Florida AI Research …. [Cited by 12] (1.46/year)
• LO, A.W., H. MAMAYSKY and J. WANG, 2000. Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical …. The Journal of Finance. [Cited by 156] (21.54/year)
• LUI, Y.H. and D. MOLE, 1998. The use of fundamental and technical analyses by foreign exchange dealers: Hong Kong evidence. Journal of International Money and Finance. [Cited by 80] (8.65/year)
• MENKHOFF, L., 1997. Examining the use of technical currency analysis. International Journal of Finance & Economics. [Cited by 48] (4.69/year)
• MENKHOFF, L. and M. SCHLUMBERGER, 1995. Persistent profitability of technical analysis on foreign exchange markets. Banca Nazionale del Lavoro Quarterly Review. [Cited by 12] (0.98/year)
• MEYERS, T.A., 2002. The Technical Analysis Course. books.google.com. [Cited by 9] (1.72/year)
• MILLS, T.C., 1997. Technical analysis and the London Stock Exchange: testing trading rules using the FT 30. International Journal of Finance & Economics. [Cited by 25] (2.44/year)
• MIYAYAMA, S., et al., 2004. … Carcinoma Fed by the Reconstructed Inferior Phrenic Artery: Anatomical and Technical Analysis. Journal of Vascular and Interventional Radiology. [Cited by 7] (2.16/year)
• MIZUNO, H., et al., 1998. Application Of Neural Network To Technical Analysis Of Stock Market Prediction. Studies in Informatics and Control. [Cited by 7] (0.76/year)
• MURPHY, J.A., 1986. Futures fund performance: a test of the effectiveness of technical analysis. Journal of Futures Markets. [Cited by 9] (0.42/year)
• MURPHY, J.J., 1986. Technical analysis of the futures markets: a comprehensive guide to trading methods and applications. New York Institute of Finance. [Cited by 90] (4.24/year)
• MURPHY, J.J., 1999. Technical analysis of the financial markets: a comprehensive guide to trading methods and …. [Cited by 128] (15.53/year)
• MURPHY, J.J., 1991. Intermarket Technical Analysis: Trading Strategies for the Global Stock, Bond, Commodity and …. books.google.com. [Cited by 14] (0.86/year)
• NEELY, C., P. WELLER and R. DITTMAR, 1997. Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach. The Journal of Financial and Quantitative Analysis. [Cited by 178] (17.38/year)
• NEELY, C., P. WELLER and R. DITTMAR, 1997. Is technical analysis profitable in the foreign exchange market? A genetic programming approach. Journal of Financial and Quantitative Analysis. [Cited by 12] (1.17/year)
• NEELY, C.J., 1998. Technical Analysis in the Foreign Exchange Market: A Layman's Guide. ideas.repec.org. [Cited by 54] (5.84/year)
• NEELY, C.J., 1998. Technical Analysis and the Profitability of US Foreign Exchange Intervention. Federal Reserve Bank of St. Louis Review. [Cited by 51] (5.52/year)
• NEELY, C.J. and P. WELLER, 1997. Technical analysis and central bank intervention. Federal Reserve Bank of St. [Cited by 9] (0.88/year)
• NEELY, C.J. and P. WELLER, 2003. Intraday technical trading in the foreign exchange market. Journal of International Money and Finance. [Cited by 28] (6.60/year)
• NEELY, C.J. and P.A. WELLER, 2001. Technical analysis and central bank intervention. Journal of International Money and Finance. [Cited by 39] (6.25/year)
• NEFTCI, S., 1984. Can Chartists Outperform the Market? Market Efficiency Tests for “Technical Analysis”. The Journal of Futures Markets. [Cited by 14] (0.60/year)
• NEFTCI, S.N., 1991. … Rules in Financial Markets and Wiener-Kolmogorov Prediction Theory: A Study of" Technical Analysis". The Journal of Business. [Cited by 91] (5.60/year)
• OBERLECHNER, T., 2001. Importance of technical and fundamental analysis in the European foreign exchange market. International Journal of Finance & Economics. [Cited by 20] (3.20/year)
• OSLER, C.L., 2000. Support for Resistance: Technical Analysis and Intraday Exchange Rates. Federal Reserve Bank of New York Economic Policy Review. [Cited by 24] (3.31/year)
• OSLER, C.L., 2001. Currency Orders and Exchange-rate Dynamics Explaining the Success of Technical Analysis. momentum.technicalanalysis.org.uk. [Cited by 9] (1.44/year)
• PAGE, E.B. and T.Z. KEITH, 1981. Effects of US Private Schools: A Technical Analysis of Two Recent Claims. Educational Researcher. [Cited by 18] (0.69/year)
• PARK, C.H. and S.H. IRWIN, 2004. The Profitability of Technical Analysis: A Review. AgMAS Project Research Report. [Cited by 8] (2.47/year)
• PAU, L.F., 1991. Technical analysis for portfolio trading by syntactic pattern recognition.. Journal of Economic Dynamics and Control. [Cited by 7] (0.43/year)
• PRING, M.J., 2002. Technical Analysis Explained: The Successful Investor's Guide to Spotting Investment Trends and …. books.google.com. [Cited by 150] (28.60/year)
• PRING, M.J., 1998. Martin Pring's Introduction to Technical Analysis. books.google.com. [Cited by 19] (2.06/year)
• PRUITT, S.W. and R.E. WHITE, 1988. The CRISMA trading system: who says technical analysis can't beat the market. Journal of Portfolio Management. [Cited by 45] (2.34/year)
• REHDER, B., et al., 1998. Using Latent Semantic Analysis to assess knowledge: Some technical considerations. Discourse Processes. [Cited by 71] (7.68/year)
• REILLY, F.K. and K.C. BROWN, 1999. Investment Analysis and Portfolio Management. uwc.ac.za. [Cited by 253] (30.69/year)
• ROBERTS, H.V., 1959. Stock-Market" Patterns" and Financial Analysis: Methodological Suggestions. The Journal of Finance. [Cited by 93] (1.93/year)
• RODR?GUEZ, F.F., et al., 1999. Technical Analysis in the Madrid Stock Exchange. papers.ssrn.com. [Cited by 6] (0.73/year)
• SAACKE, P., 2002. Technical analysis and the effectiveness of central bank intervention. Journal of International Money and Finance. [Cited by 20] (3.81/year)
• SCHWAGER, J.D., 1996. Schwager on futures: technical analysis. Wiley. [Cited by 19] (1.69/year)
• SCHWAGER, J.D., 1999. Getting Started in Technical Analysis. books.google.com. [Cited by 17] (2.06/year)
• SCHWAGER, J.D., 1984. … Guide to the Futures Markets: Fundamental Analysis, Technical Analysis, Trading, Spreads, and …. books.google.com. [Cited by 14] (0.60/year)
• SHIRYAEV, A.N., 2000. Quickest detection problems in the technical analysis of the financial data. Proceedings of Congress of Bachelier Finance Society. [Cited by 11] (1.52/year)
• SLOVIC, P., 2001. The risk game. Journal of Hazardous Materials. [Cited by 39] (6.25/year)
• TAYLOR, M.P. and H. ALLEN, 1992. The use of technical analysis in the foreign exchange market. Journal of International Money and Finance. [Cited by 308] (20.20/year)
• TAYLOR, S.J., 1994. … Using a Channel Rule: A Study of the Predictive Power of Technical Analysis with Currency Examples. Journal of Futures Markets. [Cited by 47] (3.55/year)
• TREYNOR, J.L. and R. FERGUSON, 1985. In Defense of Technical Analysis. The Journal of Finance. [Cited by 41] (1.84/year)
• WEBLER, T. and S. TULER, 1999. Integrating technical analysis with deliberation in regional watershed management planning: Applying …. Policy Studies Journal. [Cited by 13] (1.58/year)
• WONG, W.K., M. MANZUR and B.K. CHEW, 2003. How rewarding is technical analysis? Evidence from Singapore stock market. Applied Financial Economics. [Cited by 13] (3.06/year)
• YAMAGUCHI, T., 1989. A technical analysis expert system in the stock market. Future Generation Computer Systems. [Cited by 7] (0.38/year)
• YAO, J., C.L. TAN and H.L. POH, 1999. Neural Networks for Technical Analysis: A Study on KLCI. International Journal of Theoretical and Applied Finance. [Cited by 22] (2.67/year)