Algorithmic Trading Using Python #2

In this 2nd video of this algorithmic trading course, you will learn all about the algorithm development process on a conceptual level. We will cover everything from idea generation, research, implementation, backtesting, optimization to live deployment.

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[divyanshudubey]

01:16 Trading algorithms model and quantify reality to make trading decisions.
02:32 Algorithmic trading strategies are built around identifying an edge.
03:48 Profitability is not the main benchmark for evaluating a trading strategy's performance.
05:04 Developing trading algorithms involves finding alpha through hypothesis testing and a data-driven approach.
06:20 Utilize scientific papers and resources like Quantpedia to explore possible strategies in the market
07:36 Implementing a trading bot requires trial and error, testing, and bug hunting
08:52 The process of developing trading algorithms involves researching and finding an edge.
10:05 Algorithmic trading is about modeling and quantifying reality efficiently.
Crafted by Merlin AI.

[moes]

This is so good that I feel like it’s underrated, but at the same time I kinda don’t want other people to find out about this course, like it’s our own little gem

[Noddy]

Wow, absolute gem of a channel. Concepts explained so well and content well prepared and ordered. Literally can’t believe this is free content

[vnova]

usually cant be bothered to leave comments, but holly macaroni you are underrated. Keep up the good work.

[jonah]

Thank you for doing this! I am very excited about this course!

[empowercode]

Hey TradeOptionsWithMe, nice to meet you! I just found your channel and subscribed, love what you're doing! I appreciate how clear and detailed your explanations are as well as the depth of knowledge you have surrounding the topic! Since I run a tech education channel as well, I love to see fellow Content Creators sharing, educating, and inspiring a large global audience. I wish you the best of luck on your YouTube Journey, can't wait to see you succeed! Your content really stands out and you've put so much thought into your videos!


Cheers, happy holidays, and keep up the great work :)

[mark]

I’m super excited for this series! Thanks for taking the time to make this.

[anidude]

Tomorrow after work...I got some work...thank you for giving me a long day :)

[levonbudge]

your voice and accent rhythm is very relaxing.

[chowadagod]

Nice 👌🏿👌🏿..wish you could just release the entire video series at once ... greatly appreciate your effort man 👌🏿

[MrIntra-ixhn]

Excellent!! Thank you for your valuable knowledge sharing.

[marcovalentinoalvarado]

Im really glad i found such a well made video, and really well explained, keep it up!

[hamiltonian]

is even worth starting in algo trading? i mean it seems so many are doing it now probably no edges left!

[Kenyabriefnews]

Thank you for the videos. Would appreciate an update on the next release.

[throng]

Can i implement multiple alphas or a way to identify alphas in order to keep the edge consistent?

[MohitSain-kvlu]

Just want to know, is this any kind of ad collaboration video of quantconnect?

[nxgsocial]

This is nice start, eagerly waiting for next. How often you are going to release new lecture?

[ranjanbehera-dj]

sir i need algo code for my strategy, can you please help.please.

[alenben]

is quant connect free? or do we have to pay to follow along with this course?

[weiw]

I really hope the subtitles can be available ;(