In my opinion, we can add dynamic atr instead of passing a single atr number (of the last candle) to the function. In a range market, ATR is much less than a trending market and this would help to enhance the algo. In overall, I am really impressed. Thanks for sharing that!
This just blew my mind, and is going to help my current trading algorithm immensely.
I've been thinking about something like this for ages. Super cool. Not sure what I'd combine it with to make it a bit more effective, but it would be a really interesting thing to code up.
Great video! But I wonder if you can show me the code for the live matplotlib drawing at the start of the video?
man you are on another league of algo trading. Im interested in your visualizing techniques and hope to see them in separate video.
we could use volume along side with time to compute the weight.
Great content thanks for sharing
I was looking for this since forever
Thats awesome.. Your key levels work kind of like a Donchian Channel
Another video and another gold infos . I have been following your contents for a while now and its has reallt helped me with my project. As always im thankful for these valuable informations.❤
Nice! Can’t wait to see it
Can you do volume profile 😊
Quick one aren't we expecting price rather to bounce back on such levels than breaking out thru ?
@neurotrader Great content, could you help understand how do you have initial 10 min of animated left side profile with support and resistance? thanks in advance!
thankful for these valuable videos.
Nice work. Are there similar algorithms that incorporate volume data as well?
2:00 "Using raw prices will cause a bias toward lower prices in the density estimation on a larger set of input data. Logarithmic prices fix this issue." Could you elaborate, please? I don't see how this could possibly be true. A density measures the relative frequency of the underlying variable, one-to-one. In fact, taking logarithms and applying the inverse after some manipulation usually introduces a bias in the mean. Edit: the vastly unequal performance between short and long trades seems to confirm my doubt.
Could you also explain how to draw support and resistance lines and a profile during charting? Please advise.
could you maybe do a machine learning video on this volume profile example to determine the best parameters for the trading strategy? on second thought, maybe even combine with your another example with the bull/bear flag(trendline version): i.e. 1.when the trendline and vol. profile being broken at the same time and then trade; 2. train the model so to find the best fit for this strategy. thanks a lot for the valuable content!!! best wishes,
@snay6869