I have a bachelor’s degree in mechanical engineering and a master’s degree in financial engineering. Have work experience as an intraday commodity trader of LME products, global macro analyst and algo trading strategist for over 7+ years of my career in finance. Published a research paper in 2019 titled – ‘A Value Investment Strategy That Combines Security Selection And Market Timing’.
Currently, working in the Content & Research Team at QuantInsti as a Quantitative Analyst, where my contributions help in creating offerings for learners in the domain of algorithmic & quant trading.
Algo Trading With Visual Programming
Creating an algo trading strategy requires a solid understanding of programming language to express your logic – like Python. But that comes with the burden of mastering the syntax, rules and libraries of that language if you are not already familiar! For traders without any programming background, this can be a serious challenge!
Many applications try to solve this by providing a graphical interface. But real-life trading algorithms are complex, and requires much more flexibility than a step by step selections of choices and parameters. This problem is completely solved Visual programming with Blueshift®.
In this session, we are going to discuss the brief overview of algotrading, need for algo trading, complete overview of the visual programming feature of Blueshift®. In addition to this, we will also explore a trend trading strategy, analyse its performance and implement risk management using visual programming.
All without a single line of coding!