Hi Nicholas, thanks for all your effort. Just wanted to ask if you are planning to do more with this binance data analyses series in relation to machine learning? If yes, when can we expect your next videos in this series? Really looking forward to them. :)
This video was awesome! I'm also an acc&finance grad, in my final year of auditing articles at a big 4 firm but looking to bridge into data science. Been doing DataCamp for a couple months now (Python & SQL) , but just discovered your tutorials and really glad I did. Keep em coming! Would love to see what a crypto trading bot would look like & perform. Maybe a bot that buys when there's a 'golden cross' (50 day moving average crosses above 200 day moving average) and sells when there is a 'death cross' (50 day moving average crosses below 200 day moving average). Or maybe a bot that buys new coin listings based on the Binance announcements page?
hey man, awesome as usual !! Please take this series up to a RL live trading bot !!! maybe combining it with some DNN predictions to inprove performance that would be the best tutorial on youtube
YESSS! Definitely, so far this is what's on the list! Setting up Custom Environments Reinforcement Learning Models Deployment to a Live Trading Platform Working with Streaming Data Trading Strategies: Market Making/Day Trading Dimensionality Reduction for Complex Features Callbacks Risk Management
@@NicholasRenotte Will you be doing any tutorials with Tensor flow Serving ? Do you know how host multiple models in one server so that server could support multiple customers with different models ?
i have been follow your tutorials. you're more than good. please can you extend the video to stuffs like Trading Bot. please tell me you will do video on it. thanks a lot.
Nick, this is pure magic mate. Thank you. Coming from real world Fintech the hardest part is always feature engineering and cleaning the data for training models. These data sets can be enourmous(I recently had a single data set of tick data for ES future options that was 740GB!, Try working with that beast! Lol) so some sort of feature qualification is absolutely essential for serious applications. Some of the more "in the know" quant firms are using PCA with DRL Models to outperform the market and especially in risk modeling and asset allocation. Maybe doing a video on taking large datasets and running them through a PCA For dimensionality reduction then applying that data set could be really interesting. eigenvalues, covariance matrices, demeaning, etc.... Could be fun!
Damnnn, 740GB is that due to the sheer number of rows or are there a ton of features in there as well? Solid suggestions on incorporating PCA and dim reduction, will add it in! I think I'm going to build up the models, so start with something baseline then continuously try to improve it over time so we could leverage new techniques, apply and backtest.
@@NicholasRenotte it's both! There are a ton of rows, and that is the bulk, but the dataset I was working with also had the options Greeks built in. So that adds a ton of data and size. One of the things that separates successful trading systems from unsuccessful is being able to filter out the noise. Easier said than done! I'll love to see what you come up with via the modeling and API work!
Thanks for valued video Nick! I think that trading stock is hot topic for next few years... Please guide more to customize some additional criterias such as save trained model to use it in realtime, close positional conditions: stoploss, trailing stop or in specific time for intraday trading, calculating fee, tax, margin rate and something more about trading system
@@NicholasRenotte hehe, when I red the subject it was familiar to what we discussed a while back 😁 really gonna try to apply this to some chemical production processes 😁
Great video. Can you extend this work to ML using sentiment analysis. Secondly, how can someone possibly get the historical data for further practice without setting up the keys?
1.Connecting it to an RL agent for market making (mainly looking at price and orderbook) 2. Connecting it to an RL agent for day trading in Binance seems the most sensible
So for the first we're trying to exploit the bid-ask spread? Ha, that could actually be interesting! The second is definitely something that we're going to do!
Hey Nicholas looking forward to the video series , could you give a timeframe when you plan to add more videos to this playlist ? Also it would be good if you could experiment with the BackTrader library and perhaps backtest a reinforcement learning based trading strategy !
Thank you for sharing the notebook. It works without modification. And thank you for sharing your knowledge. BTW, is it possible to get the individual trades?
Hi! thanks for sharing. How can inject orders to the market? It could be helpful to learn how create a market order based on my strategy conditions. Thanks!
Hi Nick! I intend to check the difference between lets say BTC/USDT and ETH/USDT. Could you help me how would I be able to do that? I can filter down the historical frame to just Time and Close Prices but I'm not sure how to continue. Thanks!! Loved the video and your energy! Keep it up, especially crypto. It is so exciting!
@@patryknextdoor not finance data but check these out: Prophet> ruclips.net/video/KvLG1uTC-KU/видео.html Neural Prophet> ruclips.net/video/mgX0Iz4q0bE/видео.html
@@NicholasRenotte I saw them already those are really great but i noticed that the non stationarity is the issue of financial data forecasting , I’m making research on it myself and was wondering if you could share some deeper insights from your experience on that particular problem. Thank You 🙏
Hi Nick, I need an advice. Ive started to learn ML a month ago and i dont get it. Seems to difficult as there are a lot of libreries. Im lost a litle bit. Should i continue writeng codes or start learning all libraries? Thank a lot
Just a quick question. Do you think using Julia instead of Python would be worth it as I often hear about Julia several magnitude speedier than Python for ML Trading ? What's your view on that ? Cheers.
I think it depends @Adam, if we were doing HFT then it would make sense to choose a faster framework but I don't imagine we'd be delving into that. If we do then I think we'll definitely need a language review however.
Hey friend... . What happened with the continuation of this series, it will be 1 year ago. Why did you give up? Hope everything is well with you. . Teach us how to make a super ultra Saiyan Bot with reinforcement learning using binance API with indicators and all. . This series was promising to be the best on youtube...
I need the second part now!!! I would like you to see apply some ML models to predict price trends
Got it planned @federico! Will probably start from scratch again and do a mega project on it!
@@NicholasRenotte can you complete the series?!!
wow from 300 subs during the fall to 20k now, loving your growth dude
Ayyyye, thanks so much @David!
...to 184K now, lol
Helped get me out of the gate - thanks. Been a while since I've touched python for data so really appreciated this to ramp me up again.
Hey man. Where do you plan to go from here? i dont know where to go from now
Thanks for this video! I love all your videos!
Please provide videos of trading with deep learning 🙏
You got it @leamsi84, think we're going to do it a bunch of ways as well!
Love you bro
Thank you for this video
Ohhhh man, so much more to come!
@@NicholasRenotte You're a Machine Learning Guru bro. I just know C++ Java and Flutter.
Please make me a Machine Learning Engineer Guru ji.
I'm learning python automation now for my trading, and this was brilliant Nicholas, thanks so much for the content!
Hi, you are my hero of the week. i had a problem with the api data and now is running. thanks
This video was soo helpful! Thank you so much.
Hi Nicholas, thanks for all your effort. Just wanted to ask if you are planning to do more with this binance data analyses series in relation to machine learning? If yes, when can we expect your next videos in this series?
Really looking forward to them. :)
Waiting for same
This video was awesome! I'm also an acc&finance grad, in my final year of auditing articles at a big 4 firm but looking to bridge into data science. Been doing DataCamp for a couple months now (Python & SQL) , but just discovered your tutorials and really glad I did. Keep em coming! Would love to see what a crypto trading bot would look like & perform. Maybe a bot that buys when there's a 'golden cross' (50 day moving average crosses above 200 day moving average) and sells when there is a 'death cross' (50 day moving average crosses below 200 day moving average). Or maybe a bot that buys new coin listings based on the Binance announcements page?
exactly what I'm looking for. Thanks!! look forwards to more of these stuff
You are great nicos, thanks a lot for all your videos, it's amazing how it is easy for you to deal with complex learning curve. Be blessed
Thanks a million @Stéphane!
Looking forward next episodes. Do you plan to continue?
I just discovered your channel today. Love your stuff!
Thanks so much @Miguel!!
@@NicholasRenotte Hello Nicholas from France, it seems RUclips recommandation likes you 🙂
This is pure gold. I wonder why you dont have more likes and vies. Keep it up
Thanks so much @Valentin!
yes yes yesss more like this! awsome!
subscribed! great one mate. the visual EDA was great! lets go for a full blown machine learning trader
You got it!
Dude definitely make a reinforcement learning trading bot with a web app to manage and view it's performance
wow, this video made life easy, thanks bro
I like how you changed your voice when you said "Now we are going to take a look at our data". Haha
Nice video please make more video in this series love from India 👍👍👍
Great Video!!! Nicholassssssssssssss, When is the second coming?
Waiting....
Really nice video, looking forward to next episode!
good vid, easy to understand. thanks
hey man, awesome as usual !!
Please take this series up to a RL live trading bot !!! maybe combining it with some DNN predictions to inprove performance
that would be the best tutorial on youtube
YESSS! Definitely, so far this is what's on the list!
Setting up Custom Environments
Reinforcement Learning Models
Deployment to a Live Trading Platform
Working with Streaming Data
Trading Strategies: Market Making/Day Trading
Dimensionality Reduction for Complex Features
Callbacks
Risk Management
@@NicholasRenotte will be eagerly waiting for this video
me too
@@NicholasRenotte When can we expect more videos on this ?
Thank you so much, this is a kind of video i wanted 👌🏼
Hi Nicholas…
Please make complete video on analyse full real world raw data from different sources…
AMAAAAAZIING channel. Just subscribed today.
YESSS, thanks so much @Jonas!
That's a really good lesson. Thank you so much. Keeping up with the contents.
Hey! Thank you so much. I love your video i hope you can continue with this serie 😆
Definitely, will probs start again in a few weeks!
Wonderful video, looking for next part.
Such a great tutorial. Thanks Mr.nicholas. Appreciate it
Super Great Nicholas! Thanks you!!!
Wow, love it . . . . .
YESSS! Thanks for checking it out!
@@NicholasRenotte Will you be doing any tutorials with Tensor flow Serving ? Do you know how host multiple models in one server so that server could support multiple customers with different models ?
@@PUBUDUCG didn't know there was interest. Got it through work, could do something on it!
Your content is very useful. May you teach how to Prediction Crypto by use Machine Learning
i have been follow your tutorials. you're more than good. please can you extend the video to stuffs like Trading Bot. please tell me you will do video on it. thanks a lot.
Yup, that's first on this when I'm back!
Awesome video, some very great and concize explanations, some cool aspects ! waiting your next video !
thank you bro
Thanks a lot for such a detailed explanation. An ML chat-bot is an interesting idea.
Agreed, will probably do a little more on that space soon!
Great tutorial. Please go ahead and build a full-fledged machine learning bot to forecast crypto. Thanks.
Loved the tutorial!!!!!!
Congrats for the 20k subs, and thanks a lot your videos ! :)
Thanks sooo much @Deep Relax!!
Need part 2 of this series bro
Please do an EP 2!! This is really good!
Great stuff
AYYYEE @DIEGO! Thanks so much man!
Great Video! Keep up the good work!
I would be super happy if you do a second part on this.
Amazing! Thanks! Love the trading content!
very useful, thank you
Nick, this is pure magic mate. Thank you. Coming from real world Fintech the hardest part is always feature engineering and cleaning the data for training models. These data sets can be enourmous(I recently had a single data set of tick data for ES future options that was 740GB!, Try working with that beast! Lol) so some sort of feature qualification is absolutely essential for serious applications. Some of the more "in the know" quant firms are using PCA with DRL Models to outperform the market and especially in risk modeling and asset allocation. Maybe doing a video on taking large datasets and running them through a PCA For dimensionality reduction then applying that data set could be really interesting. eigenvalues, covariance matrices, demeaning, etc.... Could be fun!
Damnnn, 740GB is that due to the sheer number of rows or are there a ton of features in there as well? Solid suggestions on incorporating PCA and dim reduction, will add it in! I think I'm going to build up the models, so start with something baseline then continuously try to improve it over time so we could leverage new techniques, apply and backtest.
@@NicholasRenotte it's both! There are a ton of rows, and that is the bulk, but the dataset I was working with also had the options Greeks built in. So that adds a ton of data and size. One of the things that separates successful trading systems from unsuccessful is being able to filter out the noise. Easier said than done! I'll love to see what you come up with via the modeling and API work!
Need a video on end-to-end trading bot which is integrated with any trading platform so that if we gave 100$ it can trade it by its own analysis.
That was an absolutely brilliant video thank you so much
Thanks for valued video Nick!
I think that trading stock is hot topic for next few years... Please guide more to customize some additional criterias such as save trained model to use it in realtime, close positional conditions: stoploss, trailing stop or in specific time for intraday trading, calculating fee, tax, margin rate and something more about trading system
Working on this rn, well at least phase 1! 😉
nice video dude, quality content
Would be looking at leveraging GPU acceleration, might also be other OCR models out there but I haven't really take a look.
It already looks like the best tutorial online available. And about the direction of the tutorial, maybe we don't have to choose? Why not do both? :p
Oh I'm sure we'll cover a bunch of stuff throughout! I'm just taking your lead @Razmand!
@@NicholasRenotte hehe, when I red the subject it was familiar to what we discussed a while back 😁 really gonna try to apply this to some chemical production processes 😁
Again best ever sir
Thanks so much @Ameer!
thank you very much
Great video. Can you extend this work to ML using sentiment analysis. Secondly, how can someone possibly get the historical data for further practice without setting up the keys?
Need the keys to access the API but definitely will be doing something on sentiment soon!
Is there a way to use binance data and apply it to RL? As future videos.
Sure can, we'll probably build a feed for this into a custom environment @C!
Hey, when is the next video coming ? Nice series btw !
1.Connecting it to an RL agent for market making (mainly looking at price and orderbook)
2. Connecting it to an RL agent for day trading in Binance
seems the most sensible
So for the first we're trying to exploit the bid-ask spread? Ha, that could actually be interesting! The second is definitely something that we're going to do!
感恩師傅，讚嘆師傅。
Hey Nicholas looking forward to the video series , could you give a timeframe when you plan to add more videos to this playlist ?
Also it would be good if you could experiment with the BackTrader library and perhaps backtest a reinforcement learning based trading strategy !
Still working on a bunch of stuff, I'm going to be accelerating content soon! Stay tuned.
@@NicholasRenotte can't wait chief! my heart is burning!
@@NicholasRenotte Thanks for a great content, and looking forward for the implementation from training model into the live trading model.
@@NicholasRenotte we are still watiing
This thing is very cool man.
Cheers man! So pumped you liked it!
Great tutorial, is there a way to access this data without binance portfolio authentication ? like is there a public one
I thanks you for making sure ML AI videos 🙂
Make ai ml project
Anytime @Not Yet!!
If you can make more videos on python binance API that would be great
Love this stuff. Keep it them coming mate!
JONNY BOYYY, thanks so much!!
Thank you for sharing the notebook. It works without modification. And thank you for sharing your knowledge. BTW, is it possible to get the individual trades?
I believe so, I just can't remember off the top of my head how to get it.
Hi! thanks for sharing. How can inject orders to the market? It could be helpful to learn how create a market order based on my strategy conditions. Thanks!
Thanks for the videos!
Could you please zoom in on the Jupiter notebook for the next videos? It would make it easier to watch on mobiles.
More than the 125%? I'll take a look at it over the next vid!
Can you more of these please?
I need the second part too :). Is a live charting possible with jupyter?
thank you Nicholas for your amazing videos
i want to ask you pleas about :
the relationship between data science and artificial intelligence?
Check this out :) ruclips.net/video/iPUWwpocc1c/видео.html
@@NicholasRenotte thank you
Nicholas
Hi Nick! I intend to check the difference between lets say BTC/USDT and ETH/USDT. Could you help me how would I be able to do that? I can filter down the historical frame to just Time and Close Prices but I'm not sure how to continue.
Thanks!! Loved the video and your energy! Keep it up, especially crypto. It is so exciting!
Heya @Marcell, by difference you could just extact the value from the dataframe and apply regular math. Hit me up on Discord, happy to chat further!
Ep 2 please!!!!
Please can you make a video on stock market prediction
amazing video as always
Thanks sooo much @scchimidt!
Is it possible to get historical mark and index prices through this library. I haven't been able to do so, and the documentation isn't very clear.
Great video. Thanks so much. How can I pull data from futures ?
hi Nicolas
I would like to use heikin ashi chart from binance chart. How can I use it in my python code?
Hi
I have this error:"NameError: name 'client' is not defined" . How to fix it? Pytho3
thanks
Got the client variable created?
What about a ML Regression model based on historical data?
Could you make a deep dive video on Advanced ML Models for predicting non stationary time series?
Thanks mate for all the content!
You got it @Patrick, got any example datasets you're interested in?
@@NicholasRenotte Thank You I really appreciate it! Let’s say USDJPY dataset or any foreign exchange data set. You choose. Thank You very much! 🙏
@@patryknextdoor not finance data but check these out: Prophet> ruclips.net/video/KvLG1uTC-KU/видео.html Neural Prophet> ruclips.net/video/mgX0Iz4q0bE/видео.html
@@NicholasRenotte I saw them already those are really great but i noticed that the non stationarity is the issue of financial data forecasting , I’m making research on it myself and was wondering if you could share some deeper insights from your experience on that particular problem. Thank You 🙏
@@patryknextdoor definitely will have more coming in the coming weeks!
Hi Nick, I need an advice. Ive started to learn ML a month ago and i dont get it. Seems to difficult as there are a lot of libreries. Im lost a litle bit. Should i continue writeng codes or start learning all libraries?
Thank a lot
How do you store continuosly the data in a database
How to real time update in mpl with candlesticks for the last 24hours?
Can just make the call to Binance to get a seondary update. Not too sure if there's a websocket like feature for RT streams.
Hmm, sounds like a practical plan. Can you give another one that has Bitfolio in it? I'm sure that this platform can take me to the moon
Will take a look my guy!
Hey ! What data needs the bot to train and decide wether he buys or sale crypto ?
THEN where is the episode 2 ^^ !
loved it
light weight babyyyy
So there isn't MLTrader EP2?
How to enable Jupyter code hint feature?
Intellisense? stackoverflow.com/questions/45390326/how-to-get-autocomplete-in-jupyter-notebook-without-using-tab
MLB Player Digital Engagement how to proceed by coding?
Hmmm, not too sure of the question here?
looks like you would need to buy btc to enable API on binance now
Just a quick question. Do you think using Julia instead of Python would be worth it as I often hear about Julia several magnitude speedier than Python for ML Trading ? What's your view on that ? Cheers.
I think it depends @Adam, if we were doing HFT then it would make sense to choose a faster framework but I don't imagine we'd be delving into that. If we do then I think we'll definitely need a language review however.
Hey friend...
.
What happened with the continuation of this series, it will be 1 year ago. Why did you give up? Hope everything is well with you.
.
Teach us how to make a super ultra Saiyan Bot with reinforcement learning using binance API with indicators and all.
.
This series was promising to be the best on youtube...
Taker Volume --- I think this is the minimum order amount for the current price. Not 100 percent sure.
Help me, I want to know your Python and Anaconda versions
thx!!!!!!!!!!!!
When ep2 is coming
Hi, I am getting, 'Please make a deposit in spit wallet after register and try again'