Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Quantitative Trading Strategies: Harnessing Algorithms for Profit

Quantitative Trading Strategies: Harnessing Algorithms for Profit

Drosven, Merrick

Paperback

Business GeneralInvesting & Finance

ISBN13: 9798278049364
Publisher: Independently Published
Published: Dec 9 2025
Pages: 392
Weight: 2.00
Height: 0.81 Width: 8.50 Depth: 11.00
Language: English
Let's be honest-most traders are flying blind. They're glued to candlestick charts, convinced the market feels bullish, and praying to the financial gods that their gut is smarter than Goldman Sachs' algorithms. Spoiler: it's not. But here's the good news-you don't need to trade on vibes. You can trade on math, machines, and methods that actually work. That's where Quantitative Trading Strategies: Harnessing Algorithms for Profit comes in.

This book is my crash course in turning chaos into opportunity, written for traders who are tired of gambling and ready to start engineering their edge. Forget Wall Street jargon-I break down the big, scary world of algorithms into digestible, entertaining chunks. You'll laugh, you'll learn, and you might even stop doom-scrolling your P&L long enough to realize you can actually build a systematic trading plan that doesn't rely on luck.

Inside, we'll cover the essentials of becoming a quant without turning you into a math zombie. You'll learn why data is the lifeblood of any trading system, how to backtest strategies without falling into the perfect hindsight trap, and why risk management is your new best friend (seriously, it's the difference between being a trader and being a cautionary tale). From the basics of market microstructure to the shiny world of machine learning, I'll show you how to design, test, and run strategies like a pro-even if your coding skills are currently limited to yelling at Excel.

Here's a taste of what you'll get:

  • How to transform raw market noise into tradeable signals.
  • The sneaky biases that ruin backtests (and how to avoid them).
  • When to trust machine learning-and when it's just overhyped sci-fi.
  • Why portfolio construction is like juggling chainsaws (and how not to lose a limb).
  • The future of quant trading in a world run by AI, crypto, and alternative data.

Also in

Investing & Finance

View All