Vorhersage von Mustern auf mehreren Ebenen bei unstrukturierten Finanzdaten
Home > General > Vorhersage von Mustern auf mehreren Ebenen bei unstrukturierten Finanzdaten
Vorhersage von Mustern auf mehreren Ebenen bei unstrukturierten Finanzdaten

Vorhersage von Mustern auf mehreren Ebenen bei unstrukturierten Finanzdaten


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
About the Book

Die Vorhersage der Zukunft ist ein Aspekt bei der Entwicklung profitabler Daytrading-Strategien. Bei der technischen Analyse werden Preise, Volumina und andere Marktinformationen analysiert, während bei der Fundamentalanalyse die Fakten des Unternehmens, des Marktes, der Währung oder des Rohstoffs untersucht werden. Die meisten großen Maklerunternehmen, Handelsgruppen oder Finanzinstitute verfügen in der Regel sowohl über ein Team für technische Analyse als auch für Fundamentalanalyse. Die technische Analyse wird in der Forschungsarbeit berücksichtigt. In dieser Forschungsarbeit wird ein auf HMDM basierendes System zur Vorhersage von Börsentrends und EHHMM zur Vorhersage zukünftiger Trends der CBOE und nigerianischer 7up-Abfüllunternehmen vorgestellt. Die Merkmale werden aus den historischen CBOE-Schlusskursdaten extrahiert. Die extrahierten Merkmale werden verwendet, um die Vorhersage zu erstellen. HHMMs sind nützlich bei Anwendungen, die sich mit Sequenzen von Symbolen befassen. Die Studie zeigt, dass das EHMDM-basierte System genauer ist als das HMDM-basierte System. Es wurde festgestellt, dass das EHMDM in Kombination mit dem EST-Vorhersagesystem eine bessere Genauigkeit aufweist. Das HMDM-System in Kombination mit dem MAT-Vorhersagesystem mit versteckten Zuständen ergab eine geringere Genauigkeit.


Best Sellers



Product Details
  • ISBN-13: 9786204852041
  • Publisher: KS Omniscriptum Publishing
  • Publisher Imprint: Verlag Unser Wissen
  • Height: 229 mm
  • No of Pages: 144
  • Spine Width: 9 mm
  • Width: 152 mm
  • ISBN-10: 6204852043
  • Publisher Date: 15 Jun 2022
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Weight: 272 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Vorhersage von Mustern auf mehreren Ebenen bei unstrukturierten Finanzdaten
KS Omniscriptum Publishing -
Vorhersage von Mustern auf mehreren Ebenen bei unstrukturierten Finanzdaten
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Vorhersage von Mustern auf mehreren Ebenen bei unstrukturierten Finanzdaten

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!