Kniha Launching a Quantitative Fund Noble Trex

Launching a Quantitative Fund

From Backtest to Business

Autor: Noble Trex
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: NobleTrex Press
Dostupnosť: Skladom u dodávateľa
Odosielame za 14-21 dní
36.69
"Launching a Quantitative Fund: From Backtest to Business"This comprehensive guide bridges the criti...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2025
Stránok
378
EAN
9798896652533
Enbook ID
53028475
Vydavateľ
Hmotnosť
506
Rozmery
152 x 229 x 20

Kompletný popis

"Launching a Quantitative Fund: From Backtest to Business"

This comprehensive guide bridges the critical gap between operating a profitable trading strategy and building a sustainable investment management firm. While many resources focus solely on algorithm design, this book addresses the complex reality of launching a regulated, operational business entity. Written for aspiring fund founders, serious independent traders, and curious industry professionals, it provides the institutional blueprint necessary to transform a personal trading account into a scalable, investor-ready product.

Readers are guided through the entire lifecycle of a quantitative fund, beginning with professional research workflows, bias-free backtesting, and risk-managed portfolio construction. Beyond the mathematics, the text demystifies the essential machinery of the buy-side, covering legal structures, compliance programs, and the rigorous operations required to report Net Asset Value (NAV). You will learn how to validate strategies to institutional standards, manage service provider relationships, and navigate the intense scrutiny of allocator due diligence.

Structured as a practical roadmap, the content avoids unnecessary jargon while retaining the technical rigor required by the industry. Whether you are finalizing your backtest engine or preparing for your first capital raise, this resource ensures you understand the economics, fiduciary duties, and operational controls of managing external capital. It is the definitive handbook for navigating the journey from raw data to a fully realized qu