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# ReadingList

```bash
.
├── C++
├── DataScience
│   ├── (Advances in Intelligent Systems and Computing 456) Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz (eds.)-So.pdf
│   ├── Allen B. Downey-Think Stats, 2nd Edition_ Exploratory Data Analysis-O'Reilly Media (2014).pdf
│   ├── Brian Steele, John Chandler, Swarna Reddy-Algorithms for Data Science-Springer (2017).pdf
│   ├── Jeroen Janssens Data Science at the Command Line Facing the Future with Time-Tested Tools.pdf
│   ├── Modern Data Science with R.pdf
│   ├── Ted Dunning, Ellen Friedman-Time Series Databases_ New Ways to Store and Access Data-O'Reilly Media (2014).pdf
│   └── Torgo, Luís Data Mining with R Learning with Case Studies, Second Edition.pdf
├── HFT
│   ├── High_Frequency_Trading_and_Modeling_in_Finance.pdf
│   ├── High-frequency trading - a practical guide to algorithmic strategies and trading systems.pdf
│   ├── High-frequency Trading.pdf
│   └── [Zhaodong_Wang,_Weian_Zheng]_High-Frequency_Tradining_and_Probability_Theory.pdf
├── Python
│   ├── Automate the Boring Stuff with Python.pdf
│   ├── Daniel Y. Chen-Pandas for Everyone.  Python Data Analysis-Addison-Wesley Professional (2017).pdf
│   ├── Data Science Essentials in Python Collect - Organize - Explore - Predict - Value.pdf
│   ├── Fluent Python - Clear, Concise, and Effective Programming.pdf
│   ├── [Giancarlo_Zaccone]_Python_Parallel_Programming_Co(b-ok.org).pdf
│   ├── HighPerformancePythonfromTrainingatEuroPython2011_v0.2.pdf
│   ├── High Performance Python.pdf
│   ├── Luciano Ramalho-Fluent Python-O'Reilly Media (2015).pdf
│   ├── Michael Heydt-Learning pandas_ Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery-Packt Publishing (2015).pdf
│   ├── Michael Heydt-Mastering Pandas for Finance-Packt Publishing (2015).pdf
│   ├── [Micha_Gorelick,_Ian_Ozsvald]_High_Performance_Pyt(b-ok.org).pdf
│   ├── Micha Gorelick, Ian Ozsvald-High Performance Python_ Practical Performant Programming for Humans-O'Reilly Media (2014).pdf
│   ├── Python High Performance Programming - Lanaro, Gabriele.pdf
│   ├── Python Programming Advanced.djvu
│   ├── Steven F. Lott-Mastering Object-oriented Python-Packt Publishing (2014).pdf
│   ├── Violent Python.pdf
│   └── Web Scraping with Python Collecting Data from the Modern Web.pdf
├── Quant
│   ├── Algorithmic Trading and DMA.pdf
│   ├── Applied Quantitative Methods for Trading and Investment.pdf
│   ├── Automated Trading with R.pdf
│   ├── Empirical Market Microstructure.pdf
│   ├── Financial Econometrics and Empirical Market Microstructure.pdf
│   ├── Financial Markets and Trading.pdf
│   ├── High-Frequency Trading  A Practical Guide to Algorithmic Strategies and Trading Systems.pdf
│   ├── Howard B. Bandy-Quantitative Trading Systems_ Practical Methods for Design, Testing, and Validation-Blue Owl Press (2007).pdf
│   ├── [Madhavan_A.]_Market_microstructure_A_practitioner_guide.pdf
│   ├── Michael Halls Moore-Advanced Algorithmic Trading (2017).pdf
│   ├── (New Developments in Quantitative Trading and Investment) Christian L. Dunis, Peter W. Middleton, Andreas Karathanasopolous, Konstantinos Theofilatos (eds.)-Artificial Intelligence in Financial Market.pdf
│   ├── Pairs Trading Quantitative Methods and Analysis.pdf
│   ├── Quantitative Analysis of Market Data (1).pdf
│   ├── Quantitative Analysis of Market Data.pdf
│   ├── Quantitative Investment Analysis.pdf
│   ├── Quantitative Investment Analysis, Workbook.pdf
│   ├── Quantitative Methods for Investment Analysis.pdf
│   ├── Statistics and Data Analysis for Financial Engineering
│   │   ├── bonds.R
│   │   ├── bugsfiles.zip
│   │   ├── datasets
│   │   ├── datasets.zip
│   │   ├── EDA.R
│   │   ├── my.R
│   │   ├── returns.R
│   │   ├── R scripts for Statistics and Data Analysis for Financial Engineering with R Examples, 2nd ed..html
│   │   ├── SDAFE2.R
│   │   └── Solutions to Selected R Lab Problems and Exercises Statistics and Data Analysis for Financial Engineering with R Examples, 2nd ed..html
│   ├── Statistics and Data Analysis for Financial Engineering.pdf
│   ├── Statistics and Finance An Introduction.pdf
│   ├── The art and science of technical analysis.pdf
│   ├── Tim Leung, Xin Li-Optimal Mean Reversion Trading_ Mathematical Analysis and Practical Applications-World Scientific Publishing Company (2016).pdf.crdownload
│   ├── Trading and Exchanges Market Microstructure for Practitioners .pdf
│   ├── (Wiley Finance) Wesley R. Gray, Jack R. Vogel-Quantitative Momentum_ A Practitioner’s Guide to Building a Momentum-Based Stock Selection System-Wiley (2016).pdf
│   └── (Wiley Trading) Ernest P. Chan-Machine Trading_ Deploying Computer Algorithms to Conquer the Markets-Wiley (2017).pdf
├── Stat
│   ├── Advanced Linear Modeling.pdf
│   ├── All Figures.zip
│   ├── All Labs.txt
│   ├── An Elementary Introduction to Statistical Learning Theory.pdf
│   ├── An Introduction to Statistical Learning.pdf
│   ├── An Introduction to Statistical Learning with Applications in R.pdf
│   ├── Applying Regression and Correlation.pdf
│   ├── (Chapman & Hall_CRC Texts in Statistical Science) Norman Matloff-Statistical Regression and Classification_ From Linear Models to Machine Learning-Chapman and Hall_CRC (2017).pdf
│   ├── Elements of Statistics for the Life and Social Sciences.pdf
│   ├── Foundations of Statistical Algorithms.pdf
│   ├── Introduction to Statistical Machine Learning.pdf
│   ├── Plane Answers to Complex Questions The Theory of Linear Models.pdf
│   ├── Statistical Analysis and Data Display.pdf
│   └── Statistics_for_Finance.pdf
└── Unix
    ├── Anoop Chaturvedi, B.L. Rai-Unix and Shell Programming-Laxmi Publications (2017).pdf
    ├── B. Kernighan, R. Pike UNIX - Programming Environment .pdf
    ├── (Developer’s Library) Stephen G. Kochan, Patrick Wood-Shell Programming in Unix, Linux and OS X-Addison-Wesley Professional (2016).pdf
    ├── W. Richard Stevens, Stephen A. Rago Advanced Programming in the UNIX Environment.pdf
    └── W. Richard Stevens, Stephen A. Rago Advanced Programming in the UNIX R Environment.pdf

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