@@byon3421 My goal is to upload one video a week. I hope that is okay :) The next 2 videos will be about 10 min long, but the later videos will be longer since we will code trading bots from scratch in them.
would anyone be interested in forming an accountability group? The group's objective would be to meet once a week and review what we've learned while also motivating each other. I'll make the discord server. Also OP thanks a lot for this video series, no one gives out this kind of information for free. Bless your soul
hello I need infor mation about all your prerequisites for this course.. I dont have the background. can you guide me for something to begin with and help me out in this ?
Hi, this is exactly what I was looking for. Thanks. But please suggest me some good channel for python basic learning. As I am brand new to programming.
Thanks for the comment. It's been a while since I learned Python, so I can't really recommend a specific resource, but you can find plenty of great (free) stuff by googling. As soon as you have the basics down, I recommend trying to practice and code as much as you can yourself. That's definitely the best way to learn. And don't get frustrated if you find yourself looking up things all the time. That's how programming works!
@@isaacelijah6117 I'm still going through the content, also getting familiar with Machine learning and waiting for ideas to pop up into my head while I digest the content.
THANKS Louis. I'm have hand set on python also know little bit about trading too. I'm expecting to be good in creating trading bot in the end of the course. Woooo Haaaa I'm exited.
You will learn about all the details and prerequisites in this video. But yes, this is a course for algorithmic trading beginners. However, I do recommend having some basic Python knowledge before taking this course.
@@TradeOptionsWithMe what sort of basic knowledge does one require?Like basics and packages like numpy,pandas,matplot? Or r there other that one should have already acquired?
@@prachinpatel7242 All the details will be covered in this video. I recommend being familiar with standard Python basics such as variables, conditionals, control flow operators, loops, functions, and basic data structures. If you're familiar with packages such as numpy and pandas, that's even better!
I haven't used any resources to learn Python recently which is why I can't give you a personal recommendation. However, there are plenty of great free resources out there. Here is a list of a few: dev.to/javinpaul/top-5-places-to-learn-python-programming-for-free-m4c Generally, it's best to code a lot yourself (once you have the basics down). Actively trying yourself leads to much better results than just passively watching/reading tutorials.
This is a very good series for beginners like me. Please let know if you have any paid programmes on ‘Develop algo trading system’. I am eager to learn. 🙏
would be great to include the full gambit of knowledge like you mention, including numpy, etc. That said, thank you so much for taking the time to share this with us!
It’s been quite a while since I learned Python, so I can’t really give you a concrete recommendation. But there are plenty of great free tutorials out there. Generally, I’d recommend trying to code/practice as much as you can yourself. In my opinion, that’s the best way to learn coding.
I like "Inside the black box": amzn.to/3vGJngN Otherwise "Quantitative Trading" by Ernest Chan is often recommended: amzn.to/3c2dnfi (but I have not read this one yet)
My goal is to upload one video a week. The next 2 videos will be 10 minute theory based videos, but later videos will focus more on coding the actual algorithms. These videos will likely be much longer.
I have a playlist in which I have a couple of algorithmic trading videos. But it isn’t structured very well and the videos aren’t really dependent on each other which is why I wanted to create a fully structured and better organized tutorial series.
@@schafferluke Yes, inside of the algorithm that's what it's mainly used for. But inside of the research environment, pandas skills can be much more useful since there you're basically just analyzing data that is structured into pandas data frames.
@@TradeOptionsWithMe I'm assuming this is what the main attempt at optimization is, as with using different data structures you are able to build the algorithm accordingly.
