In this instructor-led, live training, participants will learn how to create a time series data application using kdb+ and q. kdb+ and q are commonly used in high frequency trading and are popular with the major financial institutions, including Goldman Sachs, Morgan Stanley, Merrill Lynch, JP Morgan, etc. In kdb+, tables are columns of vectors and q is used to perform operations on the table data as if it was a list. Kdb+ is an in-memory, column-oriented database and q is its built-in, interpreted vector-based language. Troubleshoot, integrate, deploy, and optimize a Python application Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
#Ifinance philippines install#
Download, install and maintain the best development tools for creating financial applications in Python Understand the fundamentals of the Python programming language In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems. Python is a programming language that has gained huge popularity in the financial industry. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange. This training aims to provide solutions for some of the principle problems faced by finance professionals.
Part lecture, part discussion, exercises and heavy hands-on practice Troubleshoot, integrate deploy and optimize an R application Build applications that solve problems related to asset allocation, risk analysis, investment performance and more Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
Understand the fundamentals of the R programming language In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems.īy the end of this training, participants will be able to: It is used in financial applications ranging from core trading programs to risk management systems. The flow of the session will be as follows: - Opening Address by Henry Aguda, Board Chairman, UBX - Regulations on Token/Asset Offering for sustainable financingīy Ida Tiongson Trustee, Fintech Philippines Association and President, Opal Portfolio Investments (Spv-Amc) Inc.R is a popular programming language in the financial industry. Have a glimpse of breakthroughs of innovations in banks and traditional financial institutions Get a glimpse of the “investible ideas” emerging in the country The Council is meeting in this session to:Įxchange views between investors (both traditional banks as well as private equity players and the major start up accelerators) This international council is made up of decision makers from local banks, start-ups, unicorns and P2P players as well as investors from the region.
The International Innovation in Finance Council for the Philippines
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