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Hello everyone. As part of the Fap
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trader community, uh one of the most
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common question I get asked is I am new
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to Python and new to algo trading. How
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do I start and where do I start from?
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This is a it's a very genuine question
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and and I think it's it's born out of
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the real hunger of a trader who wants to
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kind of uh you know move to the next
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level, learn, push through and even
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succeed in life. Well, I've been
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thinking as to how I could help and and
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I'm glad that I'm finally put something
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together that I believe that you might
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like. Python for algo trading a
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step-by-step road map for absolute
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beginners. So this is a completely free
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mini course and it is now available on
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our community website. If uh you've been
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wanting to learn Python to build your
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own trading strategies or to automate
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trades but don't know where to begin, I
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think this course is is designed just
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for you. Uh Python can often kind of
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feel overwhelming at first. It's it's a
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very powerful programming language which
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is used for a number of use cases.
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Everything from building websites to
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machine learning to data science. But
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when your specific goal is to use it for
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trading and automation, uh the good
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thing is that you don't need to learn
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everything, right? You just need to
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learn the right things in the right
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order. And that's what this course is
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all about. Let me talk to you about the
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approach I have taken on this one. Um
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rather than reinventing the wheel and
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recording the long videos myself, I've
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taken a kind of different approach on
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this one. Um I've spent hours combing
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through hundreds of publicly available
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tutorials, coding lessons, YouTube
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videos, and documentation. I've
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handpicked only the best resources, the
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ones that are very clear, concise,
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beginner friendly and and focused on the
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exact skills that you need as a future
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algo trader. Right? Then what I did is I
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carefully arranged them into a logical
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step-by-step learning road map. So think
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of this your your shortcut to learning
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Python for trading without wasting time,
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without confusion. Right? Um overall,
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I'm happy with the the overall output
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and I can't wait to see you try this out
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and then find out, you know, whether you
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like it too, right? In terms of who this
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course is designed for, uh the course is
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ideal if you if you fall into any of
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these four categories which is number
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one an absolute beginner who has never
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coded before or you are a programmer
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already uh from other languages but you
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trying to learn Python for alo trading
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or you're a trader or a finance
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enthusiast who want to automate your
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strategies or finally someone who wants
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just you know a practical no fluff path
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uh to becoming an algo trader and the
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best part this entire road map is free
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uh this is going to be a community
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resource which is built to help you
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learn quickly clearly and confidently. I
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briefly spoke about the the use cases
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and so let me set some background here.
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Uh, Python as you know is one of the
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most popular programming languages in
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the world and for good reason, right? It
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is used by the web developers to build
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powerful applications, by data
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scientists to explore massive data sets,
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by machine learning engineers to build
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intelligent systems and by even
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automation experts to kind of streamline
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you know repetitive parts and some even
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build games with it. So the
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possibilities are nearly endless uh
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which is both exciting as well as
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overwhelming right. But here's the thing
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uh you don't need to learn all of Python
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to become an algo trader, right? You
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don't need to dive into building
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websites or AI models. So in this
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course, we are laser focused on just one
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specific use case, algo trading, right?
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That means everything you learn from
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Python basics to downloading stock uh
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data to building indicators and to
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placing automated trades is chosen with
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that single goal in mind. So instead of
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wasting months learning things that
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you'll never use, this road map cuts
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through the noise and gives you exactly
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what you need to know and nothing more.
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I'll give you a quick walkthrough of the
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road map you will take. Uh we'll begin
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with module zero uh where you set up
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your development environment. This means
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installing Python and an ID called
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PyCharm which we will use to write our
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code and then in module one we'll we'll
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dive into Python programming
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fundamentals starting from variables,
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lists, conditions, loops, functions and
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more. But again only the the parts of
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Python you actually need for algo
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reading right and module two uh you'll
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learn how to work with data. uh this is
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like reading and writing JSON files,
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working with pandas, numpy and
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visualizing data using mattplot lip. Uh
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these these libraries as you know are
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very essential uh when dealing with
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financial data. Uh and then comes module
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three where we'll fetch real stock
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market data using tools like the Yahoo
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Finance and directly from NSE website uh
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both for live and historical data.
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Module four, you will learn how to build
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technical indicators. So typical ones
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like the moving averages, RSI, MACD,
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right? Which which are basically the
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building blocks of many strategies. Then
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in module five, we'll enter the world of
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back testing and you'll see how to write
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back tests in Python and evaluate
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strategy performance using metrices like
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the sharp ratio, the win rate trade and
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much more. Right? Uh once your strategy
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is back tested, then we move to module
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six which is live automation. And here
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uh you'll learn how to connect uh to
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broker APIs and automate your trades
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safely and effectively. And finally, in
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module 7, we'll explore a few advanced
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Python concepts like the object-oriented
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programming uh which which basically
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will will help you write very clean
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modular and scalable uh code for larger
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strategies. Don't worry if some of this
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sounds too technical and unfamiliar. Um
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each module is kind of made up of
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bite-sized lesson with external videos,
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articles, and many projects. U you don't
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have to rush. Get go at your own pace,
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practice along, bookmark the course, and
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then kind of come back as you need,
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right? um planning to keep this uh a
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living evolving course which means that
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we will constantly update the content of
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this course from time to time uh you
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know removing the outdated ones and
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adding new updated information. So if
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you have been looking for this kind of
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information and are serious about
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building your own trading system, I
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think this could be a great starting
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point for you. Simple, free, practical,
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right? So the link to the the full
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course is in the description below. Once
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again, I really hope and wish that you
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find this useful. If you have
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suggestions, improvements or even
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criticism, please feel free to write to
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me. U I'll be more than happy to
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incorporate those changes. Anything for
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that one purpose this course was built
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which is to ensure this is useful to
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you. So do try it out and let me know.
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All the very best. Stay healthy. Stay
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wealthy. Happy trading.
