Study on the Effectiveness of the Investment Strategy Based on a Classifier with Rules Adapted by Machine Learning

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="451849.fig.005a" src="https://static.hindawi.com/articles/isrn/volume-2014/451849/figures/451849.fig.005a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Results in 3D</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="451849.fig.005b" src="https://static.hindawi.com/articles/isrn/volume-2014/451849/figures/451849.fig.005b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Final results</td></tr></table></td></tr></table>

<table>Cumulative profit for one candle in time depending on the length of the testing period for TewiMiC.</table>

International Scholarly Research Notices

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Figure 5

Figure 5: Study on the Effectiveness of the Investment Strategy Based on a Classifier with Rules Adapted by Machine Learning 