@quantprogram

Chapters
00:00 Intro
00:30 What is Neural Network?
01:27 Feed Forward Neural Network with Example
03:15 Recurrent Neural Network Structure
06:03 RNN for Trading
06:55 Problems with RNN
08:06 Hyper Parameter Tuning
09:51 LSTM
11:15 Use case for RNN and LSTM
11:52 RNN Code walkthrough
17:48 Performance and Results

@gerpop-n4l

its my 2nd day trying to understand machiine learning and neural network and this video helped

@thekarmaworks

that was a great explanation on how neural nets work, thanks. also nice context, just added backweard forward propagation to my test script. Nice work

@muhammaddin1456

Your channel is a gem - keep uploading 👏🏾

@Ariel_Ben_David

Thanks man, we need more and longer videos

@Dr_Larken

I feel pretty confident in my knowledge to proceed without watching the other two videos! I've always been curious applying a neural network to trading, let's see!

@hugoanzola7926

Great video! I definitely see this space growing as well.

@Maximus18.6

Mate, this was an excellent video. Please share the code to help the trading community.  Thanks again

@maximillianphelps

great explanation. more current llm model implementation and custom data flows could give this superpowers

@Abu3elawi

Great teacher! Thanks for the content g

@Dr.Chandimal_Alahakoon

I don't have a trading related question , but a course related question. can a person with a non-developer background start on the course and build up on the skill? Do you have to have a coding background?

@alexandreholland

Nice video! What is the software you use to do your presentation?

@EARise

how about using gridsearch to find the efficient params?

@ArleneMusings

Well explained👍 thanks!

@tifaccio

so when my brain forgets something, its just a back propagation error. that's something i can remember

@AB-cd5gd

So cool, on an unrelated topic which model would be best to accurately predict certain pattern from a lot of data like player cheating in a game using a lot of data such as position, angle, speed etc

@benharrison6182

I think a comparison against the "buy and hold return" or a simple EMA crossover strategy would help put the results into context.  A Sharpe Ratio under 1 is not fantastic. My point is that as amazing as the potential for DL in trading is there needs to be a real world benchmark.  Don't get me wrong, you present good content and it is useful to learn, but I often hear people blindly assuming that AI will save them - or rush to employ AI - with the default assumption that it will solve all their problems.

@kyleganse4978

Would love to know how LLM models could be used for trading. Except tokens are candle stick data and indicators.

@jordanguzman5135

What website/app did you use to create the visual board?

@Dalmenco

Yes...thankyou for your video...