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Unsupervised candlestick classification for fun and profit – part 2

In the last article, I described an application of the k-means clustering algorithm for classifying candlesticks based on the relative position
FXk-means clusteringMachine learningQuant tradingR

Unsupervised candlestick classification for fun and profit – part 1

Candlestick patterns were used to trade the rice market in Japan back in the 1800’s. Steve Nison popularised the idea
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The Financial Hacker’s Cold Blood Index

This post builds on work done by jcl over at his blog, The Financial Hacker. He proposes the Cold Blood
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Benchmarking backtest results against random trading part 2

In the first part of this article, I described a procedure for empirically testing whether a trading strategy has predictive

Unsupervised candlestick classification for fun and profit – part 2