Domenico D'Errico

TradeStation EasyLanguage for Algorithmic Trading (eBook, ePUB)

Discover real-world institutional applications of Equities, Futures, and Forex markets

• Format: ePub

Produktbeschreibung

With AI revolutionizing financial markets, every trader will soon get easy access to AI models through free Python libraries and datasets, with all of them making the same trades! This behavior will modify prices and trading volumes, potentially altering future datasets, leading to major corporations investing heavily in technology, big data, and expert teams.
However, individual traders need not be intimidated because this dynamic has been seen before whenever new technologies have entered the trading market. Written by a quantitative algorithmic trading developer with over 15 years of experience in the finance industry, this book will ground you by taking a rational approach to algorithmic trading, where EasyLanguage, datasets, charts, and AI are tools for your journey toward mastering the markets. Your unique human intelligence remains invaluable in navigating and understanding market complexities as you explore the realm of institutional insights, satisfying your hunger to learn real-world algorithmic trading applications from the institutional perspective.
By the end of this book, you'll be able to confidently apply TradeStation EasyLanguage to algorithmic trading, integrate machine learning to refine your strategies, and craft a personalized approach to confidently navigate the financial markets.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 282
• Erscheinungstermin: 30. September 2024
• Englisch
• ISBN-13: 9781835881217
• Artikelnr.: 71804012

Autorenporträt

Domenico D'Errico is a Certified SIAT Technical Analyst (CSTA). After having held various managerial roles within multinational companies, he has been working as a quant developer for algorithmic hedge funds for the past 15 years, being involved in several trading ventures. He is an EasyLanguage specialist and a two-time winner of the 2011 TradeStation Developers contest. He published several articles in the Stocks & Commodities magazine. He has developed a strong interest in AI research applied to the financial world, finding numerous similarities between some AI techniques and traditional technical trading.