Stock Strategies Success Through Machine Learning.
Home > General > Stock Strategies Success Through Machine Learning.
Stock Strategies Success Through Machine Learning.

Stock Strategies Success Through Machine Learning.


     0     
5
4
3
2
1



International Edition


About the Book

In 2023 about 61% of adults in the United States invested money in the stock market. The goal of stock market trading, done by both large institutions and individuals, is of course to make a profit. However, many day traders and individual investors fail when it comes to making a good return. Many trades are influenced by psychology and emotion rather than data, which can be analyzed to determine the best stocks to buy at any given time. Algorithmic trading can be used to solve some of these obstacles for individual investors. Algorithmic trading involves setting up rules that cause trades to be automatically executed when specific criteria are met. Some trading strategies can be profitable and many depend on timing and historical data. In this thesis the goal is to predict the best trading strategies for stocks over a given period of time. Furthermore the goal is to predict the best trading strategy to buy and sell a stock during each hour of the trading day. It was possible to predict whether or not trading strategies would be profitable at each hour of the trading day with 69.93% accuracy, beating a baseline value of 50%. It was possible to predict the best strategy overall per hour of the trading day with 29.54% accuracy, beating a baseline value of 11.11%.


Best Sellers



Product Details
  • ISBN-13: 9787331098159
  • Publisher: Michael D. Parker
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 163 gr
  • ISBN-10: 7331098152
  • Publisher Date: 19 Sep 2024
  • Height: 229 mm
  • No of Pages: 76
  • Spine Width: 4 mm
  • Width: 152 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Stock Strategies Success Through Machine Learning.
Michael D. Parker -
Stock Strategies Success Through Machine Learning.
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.

Stock Strategies Success Through Machine Learning.

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!