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Trading the Future: Using Artificial Intelligence and Machine Learning in Stock

Description: Trading the Future by Chidiebere Iroegbu Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Are You Ready to Revolutionize Your Stock Trading Strategy with AI? Have you ever wondered how the smartest traders achieve consistent success? Are you tired of following outdated methods and seeing minimal returns? Do you want to leverage cutting-edge technology to boost your trading performance? Chidiebere Iroegbu, a seasoned expert with years of experience in the financial markets and a deep understanding of Artificial Intelligence and Machine Learning, presents "Trading the Future: Using Artificial Intelligence and Machine Learning in Stock Trading." This book is designed to help you navigate the complex world of stock trading by harnessing the power of AI and ML. Chidiebere Iroegbu has not only mastered the intricacies of stock trading but has also developed and implemented AI-driven trading strategies for top-tier financial institutions. His journey from a novice trader to a respected authority in the field equips him with the unique perspective needed to address the common challenges traders face. In "Trading the Future," he shares his wealth of knowledge and proven techniques to help you achieve trading success.Unlock the secrets of AI and machine learning and their impact on stock trading.Discover the advantages of using AI-driven trading strategies.Learn how to develop your own AI-based trading models.Understand the critical role of data in creating successful trading algorithms.Explore case studies of real-world AI trading applications.Gain insights into avoiding common pitfalls and maximizing returns.Equip yourself with practical tools and resources to implement AI in your trading.Stay ahead of the curve with future trends in AI and stock trading.If you want to transform your trading approach and achieve remarkable success, scroll up and buy this book today! Details ISBN-13 9798335323383 Title Trading the Future Author Chidiebere Iroegbu Format Paperback Year 2024 Pages 90 Publisher Independently Published GE_Item_ID:161344822; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 26.66 USD

Location: Fairfield, Ohio

End Time: 2025-01-28T15:01:55.000Z

Shipping Cost: 0 USD

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Trading the Future: Using Artificial Intelligence and Machine Learning in Stock

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Format: Paperback

ISBN-13: 9798335323383

Author: Chidiebere Iroegbu

Type: NA

Book Title: Trading the Future

Language: Does not apply

Publication Name: NA

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