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Loc Nguyen
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Books for Algorithmic Trading I Wish I Had Read Sooner @ neurotrader
(20 Books)
1
Systematic Trading: A unique new method for designing trading and investing systems
by
Robert Carver
(Goodreads Author)
4.02 avg rating — 262 ratings
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2
Trading Systems and Methods
by
Perry J. Kaufman
3.96 avg rating — 139 ratings
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3
Advances in Financial Machine Learning
by
Marcos López de Prado
4.13 avg rating — 449 ratings
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4
The Leverage Space Trading Model: Reconciling Portfolio Management Strategies and Economic Theory
by
Ralph Vince
3.48 avg rating — 21 ratings
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5
The Mathematics of Money Management: Risk Analysis Techniques for Traders
by
Ralph Vince
3.87 avg rating — 39 ratings
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6
Rocket Science for Traders: Digital Signal Processing Applications
by
John F. Ehlers
3.38 avg rating — 24 ratings
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7
Cybernetic Analysis for Stocks and Futures: Cutting-Edge DSP Technology to Improve Your Trading
by
John F. Ehlers
3.65 avg rating — 23 ratings
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8
Cycle Analytics for Traders, + Downloadable Software: Advanced Technical Trading Concepts
by
John F. Ehlers
3.78 avg rating — 23 ratings
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9
Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++
by
Timothy Masters
(Goodreads Author)
4.11 avg rating — 9 ratings
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10
The Universal Tactics of Successful Trend Trading: Finding Opportunity in Uncertainty
by
Brent Penfold
4.21 avg rating — 33 ratings
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11
Stocks on the Move: Beating the Market with Hedge Fund Momentum Strategies
by
Andreas Clenow
(Goodreads Author)
4.36 avg rating — 376 ratings
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12
Cybernetic Trading Strategies: Developing a Profitable Trading System with State-of-the-Art Technologies
by
Murray A. Ruggiero
3.64 avg rating — 14 ratings
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13
Testing and Tuning Market Trading Systems: Algorithms in C++
by
Timothy Masters
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4.20 avg rating — 15 ratings
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14
Permutation and Randomization Tests for Trading System Development: Algorithms in C++
by
Timothy Masters
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4.43 avg rating — 7 ratings
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15
Numerical Recipes: The Art of Scientific Computing
by
William H. Press
4.32 avg rating — 157 ratings
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16
Assessing and Improving Prediction and Classification
by
Timothy Masters
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4.64 avg rating — 11 ratings
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17
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
by
Steven L. Brunton
4.51 avg rating — 76 ratings
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18
Technical Analysis for Algorithmic Pattern Recognition
by
Prodromos E Tsinaslanidis
4.75 avg rating — 4 ratings
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19
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading
by
Jun Chen
3.62 avg rating — 8 ratings
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20
Trading on Sentiment: The Power of Minds Over Markets
by
Richard L. Peterson
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4.00 avg rating — 28 ratings
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