Research Article
Predicting the Direction Movement of Financial Time Series Using Artificial Neural Network and Support Vector Machine
Table 5
Summary statistics of technical indicators for SZSE composite index.
| Indicator | Min value | Max. value | Mean | Standard deviation |
| %K | 0.00 | 100 | 55.83 | 32.222 | %D | 0.5526 | 99.7326 | 55.818 | 30.044 | ROC | 85.68 | 109.59 | 100.04 | 2.34079 | William %R | 0.00 | 100.00 | 44.17 | 32.222 | Disparity 14 | 5.618 | 8.283 | 7.147 | 0.249 | Disparity 5 | 86.99 | 107.67 | 100.01 | 1.822 | RSI | 4.967 | 92.241 | 50.859 | 12.723 | Momentum | −2126.17 | 1385.130 | 1.139 | 257.862 | OSCP | −1544 | −1183 | −1301 | 34.815 | CCI | −386.890 | 286.254 | 6.046 | 109.506 | Pivot point | 7061 | 18073 | 10095 | 1765.377 | S1 | 6935 | 17947 | 10002 | 1739.134 | S2 | 6838 | 17797 | 9905 | 1710.895 | R1 | 7124 | 18224 | 10192 | 1798.719 | R2 | 7235 | 18404 | 10286 | 1830.061 |
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