| 000 | 01070nam a2200205Ia 4500 | ||
|---|---|---|---|
| 008 | 240825s9999 xx 000 0 und d | ||
| 020 |
_a9789355422521 _qpbk |
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| 041 | _aeng | ||
| 082 |
_a005.133 P _bKAA |
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| 100 | _aKaabar, Sofien | ||
| 245 | 0 |
_aMastering financial pattern recognition _c/ Sofien Kaabar _bfinding and back-testing candlestick patterns with Python |
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| 250 | _a1st ed. | ||
| 260 |
_cc2023 _aSebastapol, CA _bO'Reilly |
||
| 300 |
_axiii, 273 p. _bill. _c23 cm. |
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| 500 | _aReprint, 2024 | ||
| 504 | _aindex | ||
| 520 | _aCandlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and back-test the profitability of candlestick patterns. | ||
| 650 | _aPython Langage de programmation; Pattern recognition systems; Stock price forecasting Data processing | ||
| 942 | _cENGLISH | ||
| 999 |
_c541352 _d541352 |
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