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 ### Phase 1 — Math Foundation (*)
 
-1. Pishro-Nik ← in progress, finish this
-2. Elementary Stochastic Calculus
-3. A guide to Brownian motion
+1. [ ] Pishro-Nik (*)
+2. [x] Quantitative Trading
+3. [ ] Elementary Stochastic Calculus
+4. [ ] A guide to Brownian motion
 
 ### Phase 2 — Get Practical Early
 
-1. Algorithmic Trading — Chan ← read this soon; short, orients everything else
-2. Analysis of Financial Time Series — Tsay ← essential for price/return modeling
+1. [ ] Algorithmic Trading — Chan ← read this soon; short, orients everything else
+2. [ ] Analysis of Financial Time Series — Tsay ← essential for price/return modeling
 
 ### Phase 3 — Core Quant ML
 
-1. Data-Driven Science and Engineering — Brunton & Kutz
-2. Advances in Financial Machine Learning — Lopez de Prado ← most important book in your backlog
-3. Stochastic Calculus: An Introduction with Applications ← now the theory lands better
-4. Detecting Regime Change in Computational Finance
+1. [ ] Data-Driven Science and Engineering — Brunton & Kutz
+2. [ ] Advances in Financial Machine Learning — Lopez de Prado ← most important book in your backlog
+3. [ ] Stochastic Calculus: An Introduction with Applications ← now the theory lands better
+4. [ ] Detecting Regime Change in Computational Finance
 
 ### Phase 4 — Portfolio, Risk & Systems
 
-1. Active Portfolio Management — Grinold & Kahn
-2. The Microstructure of Financial Markets — de Jong & Rindi
-3. Trading Systems and Methods — Kaufman (use as reference)
-4. The Mathematics of Money Management — Vince
-5. The Leverage Space Trading Model — Vince
-6. Testing and Tuning Market Trading Systems
+1. [ ] Active Portfolio Management — Grinold & Kahn
+2. [ ] The Microstructure of Financial Markets — de Jong & Rindi
+3. [ ] Trading Systems and Methods — Kaufman (use as reference)
+4. [ ] The Mathematics of Money Management — Vince
+5. [ ] The Leverage Space Trading Model — Vince
+6. [ ]Testing and Tuning Market Trading Systems
 
 ### Phase 5 — Specialized / Optional
 
-1. Assessing and Improving Prediction and Classification (C++ heavy, niche)
-2. Trading on Sentiment (alt data / NLP, very specialized)
-3. Numerical Recipes (reference only, don't read cover to cover)
-4. Measure Theory (only if you want pure math depth — lowest ROI for bots)
+1. [ ] Assessing and Improving Prediction and Classification (C++ heavy, niche)
+2. [ ] Trading on Sentiment (alt data / NLP, very specialized)
+3. [ ] Numerical Recipes (reference only, don't read cover to cover)
+4. [ ] Measure Theory (only if you want pure math depth — lowest ROI for bots)
 
 ### Missing textbooks
 
 - Systematic Trading: A unique new method for designing trading and investing systems
 - Permutation and Randomization Tests for Trading System Development: Algorithms in C++
+
+## Textbooks
+
+- *Introduction to Probability, Statistics, and Random Processes* - Hossein Pishro-Nik
+- *Quantitative Trading* - Ernest P. Chan
+- *Algorithmic Trading: Winning Strategies and Their Rationale* - Ernest P. Chan
+- *Elementary Stochastic Calculus* - Thomas Mikosch
+- *A Guide to Brownian Motion and Related Stochastic Processes* - Jim Pitman & Marc Yor
+- *Stochastic Calculus: An Introduction with Applications* - Bernt Øksendal
+- *Active Portfolio Management* - Richard Grinold & Ronald Kahn
+- *Probability and Statistics: The Science of Uncertainty* - Michael J. Evans & Jeffrey S. Rosenthal
+- *Analysis of Financial Time Series* - Ruey S. Tsay
+- *Data-Driven Science and Engineering* - Steven L. Brunton & J. Nathan Kutz
+- *Advances in Financial Machine Learning* - Marcos Lopez de Prado
+- *Detecting Regime Change in Computational Finance* - Timothy Masters
+- *Trading Systems and Methods* - Perry J. Kaufman
+- *The Mathematics of Money Management* - Ralph Vince
+- *The Leverage Space Trading Model* - Ralph Vince
+- *Testing and Tuning Market Trading Systems* - Timothy Masters
+- *Assessing and Improving Prediction and Classification* - Timothy Masters
+- *Trading on Sentiment* - Richard L. Peterson
+- *Numerical Recipes: The Art of Scientific Computing* - Press, Teukolsky, Vetterling & Flannery
+- *An Introduction to Measure Theory* - Terence Tao