Systematic Options Trading

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

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.

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

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

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.

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. There are a few courses on Quantra which are free of cost. Please check the price of the course before enrolling in it. Once a purchase is made, we offer complete course content. For paid courses, we follow a 'no refund' policy.

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.

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.

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.

No. We provide you guidance on how to create 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.

Lifetime access means that once you enroll in the course, you will have unlimited access to all course materials, including videos, resources, readings, and other learning materials for as long as the course remains available online. There are no time limits or expiration dates on your access, allowing you to learn at your own pace and revisit the content whenever you need it, even after you've completed the course. It's important to note that "lifetime" refers to the lifetime of the course itself—if the platform or course is discontinued for any reason, we will inform you in advance. This will allow you enough time to download or access any course materials you need for future use.

A systematic approach to options trading helps to avoid common mistakes made by most traders. This can increase your chance of being a successful options trader. Trading options systematically can help you to manage risk and your capital while trading.

A systematic approach to trading involves multiple steps. These steps include getting data, ensuring the quality of data, defining entry and exit rules, backtesting your strategy and evaluating the performance of your strategy. This step-by-step approach is an effective way of trading options as it reduces the chances of making mistakes made commonly by traders.

You can use a paid or free service to retrieve data. You can check the data vendors authorised by the stock exchange you are trading on. Some of the sources for data specific to the US markets are Tick Data, AlgoSeek etc. And for data specific to the Indian markets, you can retrieve the data from Global Datafeeds, Kaggle etc.

Selecting an options trading strategy results from multiple factors, such as your trading goals, risk appetite, capital requirement, suitable market conditions etc. Based on these factors, you can select an options trading strategy. The butterfly, iron condor, bull call, and bear put strategies are a few examples.

The primary objective of this course is:

• to programmatically backtest options trading strategies such as butterfly, iron condor and spread strategies,
• how to set up this strategy based on technical indicators, and
• add stop loss and take profit to the strategy.

The aim is to empower you with the right tools to increase your chances of success in options trading. The course provides sample strategies on real-world data for illustration purposes only.

Yes, the course covers Indian options. The concepts covered in the course can be implemented on any options which are European such as S&P500 options, Nifty50 options etc.