Ricardo Naya Arboleya – Python for Trading & Investing

(6 customer reviews)

$33.00

Product Delivery – You will receive Content Access Via Email.
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Description

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Ricardo Naya Arboleya – Python for Trading & Investing

PRODUCT DESCRIPTION

Learn to use Python for analyzing data and trade in Stock Markets

There are so many different trading or investing approaches as people in the market.

Many existing tools support the most common ones, but if you really want to success with an innovative practice, you have to build it on your own.

Due to its characteristics, Python is being adopted by the financial industry as its reference programming language.

But Python is not expensive as other financials tools are, in fact it is completely free. And it is not difficult to learn. So, why don’t give it a try?

Learn how to apply Python to Trading and Investing with this Hands-on Course.

Ipython Working Environment

Main Data Analysis Python Libraries

How to import/export Financial Data

Data Munging

Customized Charts

Different Projects applying this knowledge

Improve your Programming and Investing Skills at a time.

Either if you can already program and are interested in Finance. Or if you are already a Finance practitioner and are interested in applying programming to your career. This is a course for you.

In addition to using this new knowledge for your own investments, new opportunities will widely open up for you if you are able to combine these two disciplines.

The volume of data is increasing at not seen before rates. And new algorithms and tools are needed to get the most of it. It is difficult to imagine a more promising skill in your career path than learning to manage and analyze data through programming.

In this course, the power of Python programming will be used for easing the analysis of financial data and for implementing trading strategies.

After a brief introduction of the different useful Python libraries and functionalities for Finance, some projects will be shown in which we will analyze and test various popular strategies.

The best way to learn is doing, so instead of spending hours seeing each of the different funcionalities, the student will be able to test on his own different strategies and even to benefit himself using them!

This course will start with a review of main Python libraries to use for Data Analysis.

Although due to the readability of Python it is not necessary to have previous knowledge of it. It is recommended at least to have a previous contact with it.

The main goal is to focus in the application of it to Finance concepts. So not much time will be addressed to common functions or data structures. You will be able, anyway, to send any doubt to the Instructor and if necessary new lectures will be upload replying most frequently asked questions.

The best way to learn is doing. So in the second part of the course, actual applications with the complete code will be developed. You will be able to test and modify them with your desired parameters or strategies and even propose new ones. Building, in this way, a community around the course that will help us to grow up individually.

New projects will be added periodically in the future, but the course price will go up accordingly. So enroll now, It will be your best investment.

Delivery Method

– After your purchase, you’ll see a View your orders link which goes to the Downloads page. Here, you can download all the files associated with your order.
– Downloads are available once your payment is confirmed, we’ll also send you a download notification email separate from any transaction notification emails you receive from imcourse.net.
– Since it is a digital copy, our suggestion is to download and save it to your hard drive. In case the link is broken for any reason, please contact us and we will resend the new download link.
– If you cannot find the download link, please don’t worry about that. We will update and notify you as soon as possible at 8:00 AM – 8:00 PM (UTC+8).

Thank You For Shopping With Us!

6 reviews for Ricardo Naya Arboleya – Python for Trading & Investing

  1. Laura Moore (verified owner)

    Great pacing and easy to follow. Perfect for busy professionals.

  2. Jonathan Simmons (verified owner)

    Very fast delivery.

  3. Kai (verified owner)

    The course was engaging and easy to follow.

  4. Rebecca Bryant (verified owner)

    Clear and concise explanations. This course is worth every penny.

  5. Kevin (verified owner)

    The content was high-quality and well-organized.

  6. Michael Smith (verified owner)

    A valuable resource for anyone looking to improve their skills.

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