A financial decision supporting system based on the fuzzy candlestick pattern is proposed and developed. We model Japanese candlestick patterns by using fuzzy linguistic variables. Japanese candlestick theory is an empirical model of investment decision. The theory assumes that the trend of financial time series could be predicted by identifying specific candlestick patterns in the candlestick ...

Candlestick charts are a visually appealing method of presenting price movements of securities. It has been developed in Japan centuries ago. The depiction of movements as candlesticks tends to exhibit recognizable patterns that allow for predicting future price movements. Common approaches of employing candlestick analysis in automatic systems rely on a manual a-priori specification of well-kn...

Candlestick charts are a type of financial chart for tracking the movement of securities. Some of the earliest technical trading analysis was used to track prices of rice in the 18th century. Some investors find them more visually appealing than the standard bar charts and the price actions easier to interpret. In technical analysis, a candlestick pattern is a movement in prices shown graphical...

The candlestick charts, which were developed in the 18th century and initially used Japanese rice market, are widely trading strategies all financial markets after 1991. Candlestick charts can interpret opening, high, low closing values of an asset a single visual. In addition to these advantages, large number chart patterns makes their practical use difficult. study for this purpose, software ...

The paper proposes an application of Empirical Mode Decomposition in technical analysis. The EMD-candlestick is designed to replace the traditional candlestick as the signal generators in technical trading strategies to improve the profitability. We investigate a representative set of technical trading strategies, including moving average, trading range break-out, relative strength index, and i...

Financial assets considered as time series are chaotic in nature. The main goal of investors is to take a position at the right and direction by making predictions about future this series. These consist opening, low, high, closing prices certain period. approaches used make trend strength using moving averages indicators based on them have noise lag problems they obtained statistically. Candle...

A large number of modern practices in financial forecasting rely on technical analysis, which involves several heuristics techniques price charts visual pattern recognition as well other indicators. In this study, we aim to investigate the potential use those information (candlestick indicators) inputs for machine learning models, especially state-of-the-art deep algorithms, generate trading si...

Stock market prediction is an important area of financial forecasting, which is of great interest to stock investors, stock traders and applied researchers. To determine the buy and sell time is one of the most important issues for investors in stock market. In this paper, a fuzzy approach using the famous candlestick method to stock market timing is investigated. Drawing candlesticks are very ...