quantitative finance
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Python for Finance: Mastering Data-Driven Finance, Second Edition
Sold by Yves Hilpisch
Original price was: $5.00.$2.50Current price is: $2.50.
- 50%
Mathematical Finance with Applications
Sold by Wing-Keung Wong
Original price was: $5.00.$2.50Current price is: $2.50.
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Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques
Sold by Robert Kissell
Original price was: $5.00.$2.50Current price is: $2.50.
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An Introduction to Python for Quantitative Finance: From Scratch to Productivity
Sold by Paul Alexander Bilokon
Original price was: $35.09.$17.55Current price is: $17.55.
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Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications
Sold by Nassim Nicholas Taleb
Original price was: $5.00.$2.50Current price is: $2.50.
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Large Language Models in Finance
Sold by Miquel
Original price was: $43.19.$21.59Current price is: $21.59.
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Machine Learning in Finance: From Theory to Practice
Sold by Matthew F. Dixon
Original price was: $13.99.$7.00Current price is: $7.00.
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Python for Asset Management
Sold by Ignacio Cervera
Original price was: $5.00.$2.50Current price is: $2.50.
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Perturbation Methods in Credit Derivatives: Strategies for Efficient Risk Management
Sold by Colin Turfus
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Introduction to Credit Risk Modeling, Second Edition
Sold by Christian Bluhm
Original price was: $55.19.$27.59Current price is: $27.59.
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Options and Derivatives Programming in C++20: Algorithms and Programming Techniques for the Financial Industry, Second Edition | Options and Derivatives Programming in C++20
Sold by Carlos Oliveira
Original price was: $5.00.$2.50Current price is: $2.50.
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The Quants: How a New Breed of Math Whizzes Conquered Wall Street and Nearly Destroyed It
Sold by Yernar Shambayev (ProcessText Group)
Original price was: $80.00.$40.00Current price is: $40.00.
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A Man for All Markets: From Las Vegas to Wall Street, How I Beat the Dealer and the Market
Sold by Edward O. Thorp
Original price was: $163.00.$81.50Current price is: $81.50.