By James Ma Weiming
About This Book
- Explore monetary types utilized by the and methods of fixing them with this guide
- Discover a few of the positive factors that Python offers for medical computing and harness them to reinforce your monetary applications
- Build cutting-edge infrastructure for serious elements akin to modeling, buying and selling, pricing, and analytics
Who This publication Is For
If you're an undergraduate or graduate pupil, a newbie to algorithmic improvement and examine, or a software program developer within the monetary who's drawn to utilizing Python for quantitative equipment in finance, this can be the e-book for you. it might be priceless to have somewhat familiarity with simple Python utilization, yet no past adventure is required.
What you'll Learn
- Perform interactive computing with IPython Notebook
- Solve linear equations of monetary types and practice usual least squares regression
- Explore nonlinear modeling and options for max issues utilizing root-finding algorithms and solvers
- Discover types of numerical methods utilized in pricing options
- Model fixed-income tools with bonds and curiosity rates
- Manage immense information with NoSQL and practice analytics with Hadoop
- Build a high-frequency algorithmic buying and selling platform with Python
- Create an event-driven backtesting device and degree your strategies
Built at first for medical computing, Python fast discovered its position in finance. Its flexibility and robustness could be simply integrated into functions for mathematical experiences, study, and software program development.
With this publication, you are going to know about the entire instruments you want to effectively practice learn stories and modeling, increase your buying and selling options, and successfully deal with dangers. you are going to discover many of the instruments and methods utilized in fixing advanced difficulties typically confronted in finance.
You will how one can cost monetary tools resembling shares, ideas, rate of interest derivatives, and futures utilizing computational tools. additionally, you are going to find out how you could practice info analytics on industry indexes and use NoSQL to shop tick data.
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