The Predictive Power of Price Patterns
@article{Caginalp1998ThePP, title={The Predictive Power of Price Patterns}, author={Gunduz Caginalp and Henry Laurent}, journal={FEN: Behavioral Finance (Topic)}, year={1998} }
Using two sets of data, including daily prices (open, close, high and low) of all S&P 500 stocks between 1992 and 1996, we perform a satistical test of the predictive capability of candlestick patterns. Out-of-sample tests indicate statistical significance at the level of 36 standard deviations from the null hypothesis, and indicate a profit of almost 1% during a two-day holding period. An essentially non-parametric test utilizes standard definitions of three-day candlestick patterns and…
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References
SHOWING 1-10 OF 20 REFERENCES
Simple Technical Trading Rules and the Stochastic Properties of Stock Returns
- Economics
- 1992
This paper tests two of the simplest and most popular trading rules--moving average and trading range break--by utilizing the Dow Jones Index from 1897 to 1986. Standard statistical analysis is…
Statistical Inference and Modelling of Momentum in Stock Prices
- Economics
- 1995
The following results are obtained, (i) It is possible to obtain a time series of market data {y(t)} in which the fluctuations in fundamental value have been compensated for. An objective test of the…
The Use of Volatility Measures in Assessing Market Efficiency
- Economics
- 1980
My initial motivation for considering volatility measures in the efficient markets models was to clarify the basic smoothing properties of the models to allow an understanding of the assumptions…
Market Statistics and Technical Analysis: The Role of Volume
- Economics
- 1994
The authors investigate the informational role of volume and its applicability for technical analysis. They develop a new equilibrium model in which aggregate supply is fixed and traders receive…
Trend-based asset flow in technical analysis and securities marketing
- Economics
- 1996
This article generalizes the asset flow model of the dynamics of equity prices to multiple groups of investors with distinct strategies and assessments of value. Applications include the closed-end…
Economic prediction using neural networks: the case of IBM daily stock returns
- EconomicsIEEE 1988 International Conference on Neural Networks
- 1988
Having to deal with the salient features of economic data highlights the role to be played by statistical inference and requires modifications to standard learning techniques which may prove useful in other contexts.
Using Technical Analysis : A Step-by-Step Guide to Understanding and Applying Stock Market Charting Techniques
- Business
- 1994
In "Using Technical Analysis" author Clifford Pistolese shows average investors how they too can reap the benefits of technical analysis. Well-organized and easy-to-understand, this book explains a…
Stock price pattern recognition-a recurrent neural network approach
- Business1990 IJCNN International Joint Conference on Neural Networks
- 1990
Recurrent neural networks were applied to the recognition of stock patterns, and a method for evaluating the networks was developed that is applicable to reducing mismatching patterns.
Price theory and its uses
- Economics
- 1963
This successful and carefully organized text takes the student step by step through the important themes of neoclassical microeconomics, featuring a variety of applications, numerical illustrations and graphs with detailed captions.