Handling Finance Data in Python | Python for Trading | Quantra Free Course
From Skill Gap to Quant Career | Free Live Webinar | 18 June
Quant firms are hiring at prop desks, hedge funds, fintechs, and family offices. Most candidates are not missing an opportunity. They are missing the right preparation.
This session covers what firms actually hire for, how EPAT is built around those requirements, and how alumni with no prior quant background broke into the industry.
Real stories. Real outcomes. Live Q&A at the end.
Free to attend | 18 June | 7 PM IST | 9:30 AM EDT
Register Now: https://bit.ly/4ezmAfg
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. A quant fund manager + A HFT prop desk founder + A quant teacher = a session worth watching
On 9 April, we hosted Kelvin Foo, Dr Gaurav Raizada, and Vivek Krishnamoorthy for a workshop on Algorithmic Trading & Options Risk Management.
Watch the recording:
www.quantinsti.com/articles/algorithmic-trading-python-ai-options-risk-management-webinar/
.
. A quant fund manager + A HFT prop desk founder + A quant teacher = a session worth watching
On 9 April, we hosted Kelvin Foo, Dr Gaurav Raizada, and Vivek Krishnamoorthy for a workshop on Algorithmic Trading & Options Risk Management.
Watch the recording:
www.quantinsti.com/articles/algorithmic-trading-python-ai-options-risk-management-webinar/
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. Learn to use Numpy on financial markets data for trading without any installations or downloads and for free: https://quantra.quantinsti.com/course...
NumPy is an acronym for “Numeric Python” or “Numerical Python”. It is an open source extension module for python. NumPy provides us with two major things:
It provides fast precompiled functions for mathematical and numerical routines on any variable or object.
Further, it enriches the Python programming language with powerful data structures such as multi-dimensional arrays and matrices. Using NumPy, one can even manipulate these arrays & matrices to perform high-level mathematical operations on them.
So a natural question here is, what is an array and why are they important?
An array is a “list” of related values i.e. every value in an array is of the same data type and is only differentiated by the position within the array.
The reason why arrays are important are:
They help us understand the rules of a dataset which exhibit a dimension greater than 1. In python for finance, understanding array manipulation are a natural predecessor to manipulating financial data frames. Arrays helps us build our fundamentals on higher dimensional datasets, especially two dimension datasets.
They help us to conduct an operation or apply a function to a complex object like an array, "at once" rather than iterating over the single elements of the object. This increases the efficiency of the programming language, at the same time makes numerical computations on objects more capable and efficient. This is known as ‘vectorization’.
Quantra is an online education portal that specializes in Algorithmic and Quantitative trading. Quantra offers various bite-sized, self-paced and interactive courses that are perfect for busy professionals, seeking implementable knowledge in this domain.
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