Question 1

When will I have access to the course content, including videos and strategies?

Accepted Answer

You will gain access to the entire course content including videos and strategies, as soon as you complete the payment and successfully enroll in the course.

Question 2

Will I get a certificate at the completion of the course?

Accepted Answer

Yes, you will be awarded with a certification from QuantInsti after successfully completing the online learning units.

Question 3

Are there any webinars, live or classroom sessions available in the course?

Accepted Answer

No, there are no live or classroom sessions in the course. You can ask your queries on community and get responses from fellow learners and faculty members.

Question 4

Is there any support available after I purchase the course?

Accepted Answer

Yes, you can ask your queries related to the course on the community: https://quantra.quantinsti.com/community

Question 5

What are the system requirements to do this course?

Accepted Answer

Fast-speed internet connection and a browser application are required for this course. For best experience, use Chrome.

Question 6

What is the admission criteria?

Accepted Answer

There is no admission criterion. You are recommended to go through the prerequisites section and be aware of skill sets gained and required to learn most from the course.

Question 7

Is there a refund available?

Accepted Answer

We respect your time, and hence, we offer concise but effective short-term courses created under professional guidance. We try to offer the most value within the shortest time. Once a purchase is made, we offer complete course content. We follow no refund policy.

Question 8

Is the course downloadable?

Accepted Answer

Some of the course material is downloadable such as Python notebooks with strategy codes. We also guide you how to use these codes on your own system to practice further.

Question 9

Can the python strategies provided in the course be immediately used for trading?

Accepted Answer

We focus on teaching these quantitative and machine learning techniques and how learners can use them for developing their own strategies. You may or may not be able to directly use them in your own system. Please do note that we are not advising or offering any trading/investment services. The strategies are used for learning & understanding purposes and we don't take any responsibility for the performance or any profit or losses that using these techniques results in.

Question 10

I want to develop my own algorithmic trading strategy. Can I use a Quantra course notebook for the same?

Accepted Answer

Quantra environment is a zero-installation solution to get beginners to start off with coding in Python. While learning you won't have to download or install anything! However, if you wish to later implement the learning on your system, you can definitely do that. All the notebooks in the Quantra portal are available for download at the end of each course and they can be run in the local system just the same as they run in the portal. The user can modify/tweak/rework all such code files as per his need. We encourage you to implement different concepts learnt from different learning tracks into your trading strategy to make it more suited to the real-world scenario.

Question 11

If I plug in the Quantra code to my trading system, am I sure to make money?

Accepted Answer

No. We provide you guidance on how to make a profitable strategy using different techniques and indicators, but no strategy is plug and play. A lot of effort is required to backtest any strategy, after which we fine-tune the strategy parameters and see the performance on paper trading before we finally implement the live execution of trades.

Question 12

Will I be able to deploy Options Trading Strategies in the live market?

Accepted Answer

Yes, you can deploy the backtested options trading strategies in the live market using IBridgePy API. A live trading strategy template will be provided in the course. The template uses IBridgePy to connect with Interactive Brokers. A subscription may be required for options data. You can tweak and optimise the strategy code, paper trade and finally deploy the strategies in the live market!

Options Trading Strategies In Python: Basic

Course Features

Course Description

Module 1: Know Your Options!

Module 2: Options Nomenclature

Module 3: Types of Volatility

Module 4: Options Trading Strategies

Course FAQs