Pattern recognition is a field within the area of “machine learning”.
Alternatively, it can be defined as “the act of taking in raw data and taking an
action based on the category of the data”. As such, it is a collection of
methods for “supervised learning”.
A complete pattern recognition system consists of a sensor that gathers the
observations to be classified or described; a feature extraction mechanism
that computes numeric or symbolic information from the observations; and a
classification or description scheme that does the actual job of classifying or
describing observations, relying on the extracted features.
In general, the market uses the following patterns in candlestick charts:
• Bullish patterns: hammer, inverted hammer, engulfing, harami, harami
cross, doji star, piercing line, morning star, morning doji star.
• Bearish patterns: shooting star , hanging man, engulfing, harami,
harami cross, doji star, dark cloud cover, evening star, evening doji
star.