Angielski
QUANT DEVELOPERS' TOOLS AND TECHNIQUES Series
Is a comprehensive series of books enabling QUANT Developers to succeed in this ever changing and challenging line of business.
The book series is intended for finance professionals, such as controllers, equity analysts, quantitative developers, data scientists, programmers, and everybody interested in trading and winning in the financial markets.
If you plan to become a QUANT developer, the first volume is the prelude to a comprehensive series, presenting and demonstrating the tools and techniques required to succeed in this new data driven world, such as:
Volume 1
Statistics, Visualization, Simple- & Multiple Linear Regression
...build up the basis for a solid understanding of the covered parts of the QUANT body of knowledge,
in a learning-by-example fashion.
Volume 2
Multiple- & Logistic Regression, Bayes Theorem & Forecasting, Ratios & Risk measures, Monte Carlo Simulation
...further develop your advanced understanding of the tools and techniques required to succeed
in the QUANT profession, again in a learning-by-example format.
Volume 3
SQLite Database Programming, Pandas DataFrames, Time Series Analysis, Autoregression Models
...further broadens your understanding of the tools and techniques required to succeed
in the QUANT profession, again in a learning-by-example format. (release: June, 24).
Volume 4
Data Management, Clustering & Forecasting Techniques, Stochastic Programming, QUANT Tools, Microstructure Analysis, Trading Strategy Development, Neural Network- & Machine Leaning Techniques
...set up the foundation for very lucrative career in QUANT development. As learning-by-example
is the most effective way, i know of, to learn and master this complex material essential for the
QUANT profession, which is the most lucrative although challenging profession. To
become a QUANT pro, certainly requires an in-depth mastery of the QUANT body of knowledge, in
order to excel in this ever evolving and challenging profession (release: TBT).
