Mate, I had developed something similar but very crude compared to this and was pretty happy with myself until I saw this. Wooh!! I need to get to work. This video is one of the best examples of how to think critically and systematically in quantitative finance. I raise my hat to you, sir! You are doing an awesome job!! Kudos!!
My man i dont know why ypu have to low subs compared to the effort and knowledge that you are sharing. I loved what you are doing and keep it up. This channel is gold.
I love your videos! You are an absolute Data Science Master! Absolute professional! Amazing Job! Thanks for sharing this information! You are the absolute best algorithmic trader I have seen so far!
Applying selected patterns across various timeframes can enhance results significantly. For instance, identifying a pattern across both 1-hour and 1-day timeframes can act as an amplifier.
This is an absolute goldmine, i love how its so well explained theoretically, that it is very applicable! Been learning coding for a while, and this is just blowing my mind in terms of both content and availability. Having a conclusion in the end of the video is very handy! Thank you fr your hard work!
The cluster center lines found for long and short (@13:05) are mirror images around the neutral axis and seems like you have pattern matched a Cosine curve as a wave function for the price change. So in your eyes, is it overfitting or a natural behaviour of the market?
excellent video and channel overall, thanks! if you are looking for ideas, a method to determine the support and resistance zones which the highest probability of price making a meaningful reversion from would be very interesting. meaningful could be defined as a certain distance between the zones, e.g., a Fib or something like that.
I'll be doing a video about automated support resistance levels soon, it's next on my list after the one I'm working on now. So 2 weeks. Thanks for watching
I was doing a project, and wanted to ask something, i am new to this, but have one idea for pattern recognition. (for flag, wedge, head and shoulder....). If free we can chat over the email.
Yes I can, multi-market indicators/scans I'll get around to eventually. I use the same idea of scanning/selecting in the crypto market. Finding the strongest trend or most likely to revert or ... in a universe of assets.
Just one caveat: If you tuned your model (data-preprocessing modifications or kmeans parameters tuning) to first find the best-performing clustering approach and then used the same when building the walk-forward, my guess is that the out-of-sample results have some lookahead bias. However, I am not sure about that detail. Probably, since this is unsupervised learning, not much hyper-parameter tuning or modifications or feature engineering to find the best model was done.
Mate, I had developed something similar but very crude compared to this and was pretty happy with myself until I saw this. Wooh!! I need to get to work. This video is one of the best examples of how to think critically and systematically in quantitative finance. I raise my hat to you, sir! You are doing an awesome job!! Kudos!!
Your skill, patience and academic rigour are greatly appreciated. Please continue making these videos; it's unbelievably helpful and educational.
My man i dont know why ypu have to low subs compared to the effort and knowledge that you are sharing. I loved what you are doing and keep it up. This channel is gold.
Man, it's just a pity that very few people can even follow the basics of what you're sharing... Thank YOU, THANK YOU!
I love your videos! You are an absolute Data Science Master! Absolute professional! Amazing Job! Thanks for sharing this information! You are the absolute best algorithmic trader I have seen so far!
Applying selected patterns across various timeframes can enhance results significantly. For instance, identifying a pattern across both 1-hour and 1-day timeframes can act as an amplifier.
This is an absolute goldmine, i love how its so well explained theoretically, that it is very applicable! Been learning coding for a while, and this is just blowing my mind in terms of both content and availability. Having a conclusion in the end of the video is very handy! Thank you fr your hard work!
these videos are AMAZING!
The cluster center lines found for long and short (@13:05) are mirror images around the neutral axis and seems like you have pattern matched a Cosine curve as a wave function for the price change. So in your eyes, is it overfitting or a natural behaviour of the market?
Amazing! Just amazing!😮
best channel ever!
also wondering, does standardizing pattern make them representable? or perhaps change data point to % change can visualize better?
one more amazing video!!!
this is beautiful and scientific !!!
Brilliant!!!
What IDE do you use? And where do you retrieve your historical data?
excellent video and channel overall, thanks! if you are looking for ideas, a method to determine the support and resistance zones which the highest probability of price making a meaningful reversion from would be very interesting. meaningful could be defined as a certain distance between the zones, e.g., a Fib or something like that.
I'll be doing a video about automated support resistance levels soon, it's next on my list after the one I'm working on now. So 2 weeks. Thanks for watching
Great video. Have you tried extending this paper to n points? Thinking that if n=7 it might be able to see channels
just curious, have you tried different clustering methods?
Sir,what is the sequence for watching your videos
Good job
I wish to apply hidden Markov chain to algorithmic trading
I was doing a project, and wanted to ask something, i am new to this, but have one idea for pattern recognition. (for flag, wedge, head and shoulder....). If free we can chat over the email.
Fantastic
Let's scan the stock list. trend breakouts, shoulder head shoulder formation, flag formation. Can you talk about creating scans with Python?
Yes I can, multi-market indicators/scans I'll get around to eventually. I use the same idea of scanning/selecting in the crypto market. Finding the strongest trend or most likely to revert or ... in a universe of assets.
You can share using google colab. I look forward to the scans.
👍
🤗🤗🤗🤗🤗🤗
Please make video about ai trading before. Like this comment for support him.
I'll do some neural net content eventually. Probably a collection of videos.
@@neurotrader888 looking forward to it
Just one caveat: If you tuned your model (data-preprocessing modifications or kmeans parameters tuning) to first find the best-performing clustering approach and then used the same when building the walk-forward, my guess is that the out-of-sample results have some lookahead bias. However, I am not sure about that detail. Probably, since this is unsupervised learning, not much hyper-parameter tuning or modifications or feature engineering to find the best model was done.
You the best... please write my strategy for me so we make money together.....you coding knowledge and my trading strategy= loads of money