Книга Quant Mind Gernot Lechner

Quant Mind

Mastering Markets with Data, Code, and Discipline - A Practical Beginner's Guide to Quantitative Trading

Автор: Gernot Lechner
Език: Английски език
Корици: С меки корици
Издател: Independently published
Наличност: Очаква се зареждане
Издание 30. 06. 2026
29.01 56.74 лв
The greatest track record in the history of finance wasn't built by the smartest person in the room....

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2026
страници
370
EAN
9798184006963
Enbook ID
53025780
Издател
Теглоt
496
Размери
152 x 229 x 19

Пълно описание

The greatest track record in the history of finance wasn't built by the smartest person in the room. It was built by the most disciplined.

Renaissance's Medallion Fund returned roughly 66% a year for three decades - not with gut calls or charisma, but with data, code, and relentless honesty. That edge isn't a secret. It's a method. And this book hands it to you.

Quant Mind - Volume 1: Foundations is the book the genre never delivers: rigorous yet genuinely beginner-friendly, theoretical and ruthlessly practical. No hand-wavy theory. No "just buy and hold." No guru hype. Just the real mindset, real mathematics, real Python, and the research discipline that separates the quants who last from the ones who blow up in month three.

By the last page you will have:

  • Built complete trading strategies and backtested them honestly - and learned why most backtests are fiction, and how to make yours pass
  • Priced options three different ways, simulated risk with Monte Carlo, and modeled the transaction costs that quietly kill real edges
  • Learned to think in returns, distributions, factors, and regimes - and to distrust your own results like a professional
  • Assembled a personal quant research lab you can grow for years

Inside the 22 chapters and 350+ pages:

  • Markets, microstructure, and how a price is really made
  • Data, statistics, and the four biases that destroy strategies before they start
  • Stochastic processes, Black-Scholes, the Greeks, and numerical methods - explained intuition-first, no PhD required
  • Risk management, Kelly sizing, portfolio construction, and execution
  • Backtesting done right: purged cross-validation, the deflated Sharpe ratio, and the multiple-testing trap
  • The 2026 toolkit, crypto quant, AI agents, regulation, and the quant profession - with a verified directory of modern tools
  • 34 figures, runnable Python in every chapter, capstone projects, and a complete glossary

Written by Gernot Lechner, PhD, this is a book where every formula is derived, every claim is checked, and every line of code runs.

Whether you dream of trading your own capital, breaking into a quant fund, or simply understanding how modern markets and money actually work - this is your foundation.

The edge is in the doing. Build a mind the markets can't fool.