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hello@fabtrader.in
hello@fabtrader.in
Transform your trading with a custom built Python Algorithmic trading platform. Learn to build, fully automate & optimize trading strategies, connect to multiple brokers, host it on Cloud and monitor trades from mobile. Let the tool generate wealth – even while you are away attending to matters that matter to you!
If any of these life scenarios below appeal to you and resonate with you, this course is for you!
You're a professional with a full-time job, yearning to trade without being chained to your screen during market hours
You're tired of manually executing trades and want a system that works autonomously while you focus on your career, family, or interests
Aspiring trader who wants to remove emotional decision-making and implement systematic, logic-based trading strategies
Currently using unreliable spreadsheet-based trading methods and desperately want a robust, scalable programming solution
Frustrated with paying hefty fees to traditional financial education institutes for algo trading courses
A DIY investor who wants more control and transparency in your trading strategy, without relying on black-box solutions
Individual who wants to learn a valuable skill that combines technology, finance, and passive income generation
Someone looking to diversify income streams through an automated, data-driven trading approach
Tired of feeling overwhelmed by market complexity and wanting a structured, methodical approach to trading
Duration
Course Format
Proficiency Level
Study Mode / Language
If you are running your own ‘jugaad’ excel based automation or trying to host your strategy on third-party algo vendors charging commission or planning on taking those expensive Institute based algo courses, you might want to re-think those options!
FabTrader Course
Third-party hosted Algo platforms (or)
Jugaad Automation Scripts (or)
Institute Courses
Freedom from Dependencies
FabTrader is fully independent, installed on infrastructure that is exclusive to you and controlled only by you. No external dependency. You build everything, you own / control everything!
Third party algo services involve your strategy being hosted by them and hence direct dependency on their availability and control
Privacy / Secrecy
All strategies hosted in your own aws cloud server. Your strategy, trades, profits remain private
Usually, strategy is exposed to algo platform being hosted.
Flexibility and Ease
All building blocks of platform already in place. Extremely easy to introduce new complex strategies and trade them in minutes
Other platforms uses rule based coding which is extremely rigid. Complex strategies cannot be coded, in most cases.
Multi-Broker / Multi-User Setup
With FabTrader, you could integrate with multiple brokers with ease (API or Token method both). Supports multi-user setup, so you can create instances for your family members too.
May not be possible. Individual accounts would need to be opened and third-party platform fee would apply
Course Structure / Mode
Self-paced, online, very detailed and yet bite-sized modules. Each module can be learnt at your own pace.
Not possible on live courses. May be possible with other formats
Ongoing Cost
Apart from course fee, no additional fees apply. You own everything
Usually has monthly recurring fee / commission levied by the platform /vendor
Pricing
A nominal one-time course fee. You will get lifetime access to other contents as well. As a community, support and access to new strategies from me and other members
Typical courses sell for over Rs.2-4 lacs in prominent algo trading institutes (like QuantInsti)
Not really.. You need basic Python programming and debugging skills. We'll take you through step-by-step process. This course is designed for intermediate learners.
Depends on you! Approximately 2-4 weeks, dedicating 10-20 hours per week. The course is self-paced, allowing flexibility around your existing schedule.
Basic understanding of financial markets is helpful including trading concepts like market orders, stoploss, square-off and some idea on instruments like stocks, options and currency pairs
We'll primarily use Python with popular libraries like Pandas, NumPy, and integrate with brokers like Zerodha and Shoonya. Will use Streamlit to built dashboards. API integration knowledge is desirable.
No course can guarantee profits. We focus on teaching strategy development, risk management, and systematic trading techniques. While I share some of my own strategies in the course, it is only for educational purposes.
A laptop/computer with Python installed. We'll provide detailed setup instructions in the first module.
Some basic programming and financial knowledge is recommended. Complete beginners might find it challenging but not impossible.
You will become a permanent member of the community which will give you access to all content including new strategies, backtesting results, new feature upgrades, new tools and methods contributed by me and other fellow members of community and a lot more! You could also contribute towards the community by becoming a permanent member.
The principles and techniques are applicable across multiple asset classes, including stocks, options/futures, and forex markets. We will be creating strategy for each of the segment above
Course is designed specifically to remove too much dependency on trainer. Learner could leverage the community to forum. Optionally, during key checkpoints, may reach out to the instructor/mentor.
Yes, we'll guide you through hosting your algorithmic trading platform on AWS cloud and the course includes detailed step-by-step guide from selecting an AWS server, deploying code, scheduling jobs and key pointers on how to solve common issues.
We focus on real-world, backtested strategies with emphasis on risk management and performance optimization. These are some of my personal strategies I use. However, this is only meant for educational purposes and learners would need to use extreme caution and discretion.
Yes, the course platform is mobile-responsive, allowing you to learn from anywhere.
Absolutely. Risk management is a critical module, covering position sizing, stop-loss strategies, and portfolio protection techniques. The algo platform has built-in auto scale functionality and this will be covered in great detail.
No. You are not allowed to redistribute or share this course content with others. This offence invites legal action and a possible law suit and fines.
Yes, you will be able to view the actual curriculum and lesson plan outline. However, the detailed course content will be protected and will only be accessible upon purchase of the course
Join the mailing list so that you could be notified once the current cohort training completes and the next cycle commences, shortly.
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