00:00Hello everyone. As part of the FabTrader community,
00:03one of the most common questions
00:05I get asked is,
00:06I am new to Python
00:07and new to algotrading.
00:09How do I
00:10start and where do I
00:11start from?
00:12This is a very genuine
00:14question and
00:15I think it's born out of
00:16the real hunger of a trader
00:17who wants to kind of
00:18move to the next level,
00:19learn.
00:20Push through and even
00:21succeed in life.
00:22Well, I've been thinking
00:23as to how I could
00:25help and I'm glad that
00:26I'm finally put something
00:27together that I believe
00:28that you might like.
00:30Python for algotrading,
00:30a step-by-step roadmap
00:31for absolute beginners.
00:33So this is a completely free.
00:35mini-course and it is now
00:36available on our
00:36community website.
00:38If you've been wanting
00:39to learn...
00:40Python to build your own
00:41trading strategies or to
00:42automate rates, but don't
00:43know where to begin, I
00:44think this...
00:45course is designed just for
00:46you.
00:46Python can often kind of
00:48feel overwhelming at first.
00:50It's a very powerful
00:50programming language, which
00:51is used for a number of
00:52use cases, everything from
00:54building websites.
00:55to machine learning, to data
00:55science.
00:56But when your specific goal
00:57is to use it for trading and
00:59automation,
01:00the good thing is that you
01:01don't need to learn
01:02everything, right?
01:02You just need to learn the
01:03right things in the right
01:04way.
01:05order, and that's what this
01:06course is all about.
01:07Let me talk to you about the
01:08approach I've taken on this
01:09one.
01:10Rather than reinventing the
01:11wheel and recording the long
01:12videos myself, I've taken a
01:14kind of...
01:15different approach on this one.
01:16I've spent hours combing through
01:17hundreds of publicly
01:18available tutorials...
01:20coding lessons, YouTube videos,
01:21and documentation.
01:22I've handpicked only the best
01:23resources, the ones that are
01:24very...
01:25clear, concise, beginner-friendly,
01:26and focus on the exact skills
01:28that you need as a future
01:29algo trader, right?
01:30Then, what I did is I carefully
01:31arranged them into a logical
01:32step-by-step learning roadmap.
01:34So, think of this...
01:35is your shortcut to learning
01:36Python for trading without
01:37wasting time, without
01:38confusion, right?
01:40I'm happy with the overall
01:41output, and I can't wait to see
01:43you try this out, and then
01:44find...
01:45don't know whether you like it
01:45too, right?
01:47In terms of who this course is
01:48designed for, the course is
01:49ideal...
01:50if you fall into any of these
01:51four categories, which is
01:52number one, an absolute
01:53beginner who has never
01:54coded before...
01:55or you are a programmer already
01:56from other languages, but
01:58you're trying to learn
01:59Python for...
02:00trading, or you're a trader or a
02:01finance enthusiast who want to
02:03automate your strategies, or
02:04find...
02:05finally, someone who wants just a
02:06practical no-fluff path to
02:08becoming an algo trader.
02:10And the best part, this entire
02:11roadmap is free.
02:12This is going to be a community
02:13resource which is built to help
02:14you...
02:15you learn quickly, clearly, and
02:16confidently.
02:18I briefly spoke about the use...
02:20basis, and so let me set some
02:21background here.
02:22Python, as you know, is one of
02:23the most popular programming
02:25languages in the world, and for good
02:26reason, right, it is used by the
02:27web developers to build powerful
02:28applications by data scientists.
02:30to explore massive datasets, by machine
02:32learning engineers to build
02:33intelligent systems, and by even...
02:35automation experts to kind of streamline
02:36repetitive parts, and some even build
02:38games with it.
02:39So...
02:40the possibilities are really endless,
02:42which is both exciting as well as
02:43overwhelming, right?
02:44But...
02:45here's the thing, you don't need to
02:46learn all of Python to become an
02:48algo trader, right?
02:48You don't need to dive into
02:49building...
02:50websites or AI models.
02:51So in this course, we are laser
02:53focused on just one specific...
02:55use case, algo trading, right?
02:57That means everything you learn from
02:58Python basics to downloading...
03:00stock data to building indicators and to
03:02placing automated trades is chosen...
03:05with that single goal in mind.
03:07So instead of wasting months learning
03:08things that you'll never use, this...
03:10roadmap cuts through the noise and
03:11gives you exactly what you need to
03:12know, and nothing more.
03:14I'll give you a quick...
03:15walkthrough of the roadmap you will take.
03:16We'll begin with module zero, where you
03:19set up your...
03:20development environment, this means
03:21installing Python and an IDE called
03:22PyCharm, which we will use to write
03:24our code.
03:25And then in module one, we'll dive into
03:27Python programming fundamentals, starting
03:28from variables, lists...
03:30conditions, loops, functions, and more.
03:31But again, only the parts of Python you
03:33actually need for...
03:35reading, right?
03:36And module two, you'll learn how to work
03:38with data, this is like reading and
03:39writing...
03:40json files, working with pandas, numpy, and
03:42visualizing data using matplotlib.
03:45these libraries, as you know, are very
03:46essential when dealing with financial
03:48data.
03:49And then comes...
03:50module three, where we'll fetch real stock
03:51market data using tools like the Yahoo
03:53Finance and directly from NSE web...
03:55website, both for live and historical data.
03:58Module four, you will learn how to build
03:59techniques...
04:00typical indicators, typical ones like the
04:02moving averages, RSI, MACD, right?
04:04which are basically the...
04:05building blocks of many strategies.
04:06Then in module five, we'll enter the world
04:08of backlisting and you'll see how to write
04:10practices in Python and evaluate strategy
04:12performance using matrices like the Sharpe
04:14ratio, the wind rate.
04:15and much more, right?
04:16Once your strategy is backlisted, then we
04:18move to module six, which is live
04:20automation.
04:21And here, you'll learn how to connect to
04:23broker APIs and automate your trades safely
04:25and effectively.
04:26And finally, in module seven, we'll explore a
04:28few advanced Python concepts...
04:30like the object-oriented programming, which basically
04:32will help you write very clean, modular...
04:35and scalable code for larger strategies.
04:38Don't worry if some of this sounds too technical...
04:40and unfamiliar.
04:41Each module is kind of made up of bite-sized
04:43lesson with excellent videos, articles, and many...
04:45projects.
04:46You don't have to rush.
04:47Go at your own pace.
04:48Practice along.
04:49Bookmark the course.
04:50And then kind of come back as you need.
04:52Planning to keep this living, evolving course, which...
04:55means that we will constantly update the content of this
04:57course from time to time, you know, removing the
04:59outdated ones and adding...
05:00new updated information.
05:01So if you have been looking for this kind of information and
05:04our series of...
05:05about building your own trading system, I think this could be a
05:07great starting point for you.
05:08Simple.
05:09Free.
05:10practical.
05:11Right?
05:12So the link to the full course is in the description below.
05:14Once again...
05:15I really hope and wish that you find this useful.
05:17If you have suggestions, improvements, or even criticism.
05:20please feel free to write to me.
05:21I'll be more than happy to incorporate those changes.
05:24Anything...
05:25for that one purpose this course was built, which is to ensure this
05:28is useful to you.
05:29So do...
05:30try it out and let me know.
05:31All the very best.
05:32Stay healthy.
05:33Stay wealthy.
05:34Happy trading.
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