| Title:
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FINANCIAL DATA RESAMPLING FOR MACHINE LEARNING BASED TRADING
APPLICATION TO CRYPTOCURRENCY MARKETS |
| By: |
Tome Almeida Borges |
| Format: |
Paperback / softback |
| List price:
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£54.99 |
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£48.12 |
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£6.87 |
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| ISBN 10: |
3030683788 |
| ISBN 13: |
9783030683788 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
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| Publisher: |
SPRINGER NATURE SWITZERLAND AG |
| Pub. date: |
23 February, 2021 |
| Edition: |
1st ed. 2021 |
| Series: |
SpringerBriefs in Computational Intelligence |
| Pages: |
93 |
| Description: |
A new method for resampling financial data is presented as alternative to the classical time sampled data commonly used in financial market trading. The new resampling method uses a closing value threshold to resample the data creating a signal better suited for financial trading, thus achieving higher returns without increased risk. |
| Illustrations: |
28 Illustrations, color; 2 Illustrations, black and white; XV, 93 p. 30 illus., 28 illus. in color. |
| Returns: |
Returnable |