thank you for this amazing content. I now went bankrupt
@dmitriyvoznyuk7142
3 жыл бұрын
LOL (sorry if it wasn`t a joke)
@yeweishi6157
3 жыл бұрын
hahaha
@alexleban6823
3 жыл бұрын
lmao
@TokyoWasTaken
3 жыл бұрын
RIP... i invested using this .. im kinda profitable
@Anaskhan-kv5qi
3 жыл бұрын
😂😂
@christoflers
3 жыл бұрын
Hey man great video, only thing I'd recommend is moving your camera overlay to the top right corner though, as it often blocks the current line of code that you are writing/discussing.
@mihirshahpro
3 жыл бұрын
I agree!!!
@helenoliver4838
Жыл бұрын
The stock market is still a fantastic tool for building wealth, however, so it's wise to consider investing even if you don't have much money to spare.
@greenquake11931
Жыл бұрын
Money is a tool that can help you to achieve your goals. It can provide comfort and stability for your family, make it easier to plan for the future, and allow you to save towards important milestones. But to achieve these things, you need to know how to make your money work for you by investing with the right signal.
@mayacho4910
Жыл бұрын
@@greenquake11931 Hello, what signal do you invest with ? I'm new here.
@greenquake11931
Жыл бұрын
@@mayacho4910 'BRIDGET MARY TUROW"
@mayacho4910
Жыл бұрын
@@greenquake11931 I'll like to connect with her. I want to invest.
@greenquake11931
Жыл бұрын
@@mayacho4910 look with her name online for her page.
@otiswayde9022
3 жыл бұрын
Trading is easy and safe with the right help that's why I trade with Mrs Theresa she's the best
@otiswayde9022
3 жыл бұрын
+ 1 ( 6 4 0. ) 7 7 7---0 5 6 5
@otiswayde9022
3 жыл бұрын
Reach on what' sapp
@blackmonfrancis5987
3 жыл бұрын
I have recovered all my losses and earn more profits all thanks to Mrs Theresa
@masongrant6375
3 жыл бұрын
I thought I was the only one who trades with Mrs Theresa she's really great I have made close to $30000 this month trading with her system
@carlmike770
3 жыл бұрын
She's really good I earn profits every week trading with her system
@thecodfather7109
3 жыл бұрын
Your content is amazing! I can't find one video that sucks or that's useless. Keep it up dude, your channel will hit big numbers 👌🏽
@NeuralNine
3 жыл бұрын
Thanks brother :)
@bud384
3 жыл бұрын
That's for sure i believe..
@c0dakw0lfgaang48
3 жыл бұрын
@@NeuralNine which yahoo api is that ? Please tell me the package name and the author name.
@martinwestin4539
3 жыл бұрын
@@c0dakw0lfgaang48 there are several yahoo finance apis in python that you can use, but i recommend using yahoo_fin (pip install yahoo_fin)
@c0dakw0lfgaang48
3 жыл бұрын
@@martinwestin4539 thanks mate
@_ScyIIa_
3 жыл бұрын
you're underrated man, you deserve a lot more
@NeuralNine
3 жыл бұрын
Patience is the key ^^ Thank you
@sachinr1929
3 жыл бұрын
Totally agree
@baskarpalani2014
3 жыл бұрын
True
@cansaruhann
3 жыл бұрын
Yeah
@GianCampos
Жыл бұрын
I don’t know if you’re going to see this comment, but I must say it: The way you teach the content in details explaining why and what that section does is amazing! Very good content, I’ll see all your videos now that I understand more about machine learning stuff than 3 months ago when I found your channel. Thank you so much! A hello from Brazil!
@regeleionescu935
3 жыл бұрын
Line 60: model_inputs=total_dataset[len(total_dataset)-len(test_data)-prediction_days:].values
@muhammadvaliallah2781
3 жыл бұрын
Took me a while but the purpose of this line is to get from 60 days before test and include the test set
@Kotavedavyas
3 жыл бұрын
does anyone know this error ValueError: Input 0 of layer "sequential" is incompatible with the layer: expected shape=(None, 5, 1), found shape=(None, 4, 1)
@Sturmbutcher
2 жыл бұрын
@@Kotavedavyas I am on the same boat... did you find how to fix it?
@ishan_shrestha
2 жыл бұрын
same... help
@ramach668
2 жыл бұрын
Anyone able to resolve this error? "expected shape=(None, 5, 1), found shape=(None, 4, 1)". Please help with a workaround
@DilpreetSingh-sw3ei
3 жыл бұрын
How to predict for next 90 or 100 days if we want to ? For other situations in which we need to predict data for a whole day for every 15 mins intervals
@danajanastova8550
3 жыл бұрын
Instead of reshaping with reshape: x_train = np.reshape(x_train, (x_train.shape[0], x_train.shape[1], 1)), there is a shortcut syntax: x_train = x_train[..., None], where None stands for the new axis added as the last axis. Maybe you want it to be understandable for begginers though, which I totally understand :).
@greenpumpkin172
3 жыл бұрын
Thanks for the nice tip.
@devsunny10
Жыл бұрын
Hello, can you please help me
@ViralKiller
Жыл бұрын
You need to train it differently...find historic data where a very large move to the upside or downside has occurred, and then take the 120 candles before that, and label them either "bullish" or "bearish"...then show it the current chart and ask it what will happen next
@intfamous4001
Жыл бұрын
and it still wouldn't change anything. This approach is no better than human guessing
@delalias5754
3 жыл бұрын
Those muscles.... damn nerds are jacked now... thanks brother
@dabbopabblo
3 жыл бұрын
21 skinny guys liked your comment
@makdavian3567
2 жыл бұрын
lol
@annaarbuz3277
3 жыл бұрын
Just an example of NN overfitting. Predicted curve should be shifted to the left (to the past) from the actual curve - then it will mean the prediction. Actualy NN just repeating curve from the past to the future with some bias and curve approximation, and this is the opposite of the meaning of prediction. Whatever if you just need to smooth any curve and shift it to the right, then there are many simple ways, not a neural network.
@milepivo
3 жыл бұрын
I would like to see a detailed video where you explain the tensorflow implementation of the LSTM, because I'm not really sure how they work when you combine them with Dense layers.
@erictovbin4200
3 жыл бұрын
Can you make a video where you explain the mathematics?😄
@martinsmolik2449
3 жыл бұрын
Three blue one brown does an excellent job of this!
@NexGenSlayer
3 жыл бұрын
FB Stock the next day from his prediction was 261.10 (1/19/21). The model seems to be pretty good at predicting momentum at least.
@dynoagency1323
3 жыл бұрын
thank u man u are the only youtuber who do this things
@Juanpablete12
2 жыл бұрын
I have this error : ValueError: Input 0 of layer "sequential_1" is incompatible with the layer: expected shape=(None, 60, 1), found shape=(None, 59, 1)
@zomaareenkijker286
2 жыл бұрын
@Juanpablete12 Have you found a fix to this? I'm running into the same problem.
@mceiche6626
3 жыл бұрын
I would love to see some theory about the opimizer. Really interesting but hard to understand on the Mathematical point of view
@rzamafuu478
3 жыл бұрын
Very nice video, learned a lot from it. Only one advice, you could every now and then print the data we are working with so that we see exactly how the data should look. I am guessing that for someone that advanced as you, visualizing the data in your mind is pretty simple, I for example, print it pretty often, just to make sure that I am on the right track. Apart from that, really awesome video, I'm glad the algorithm recommended your channel.
@bielvv9148
Жыл бұрын
I am trying to reproduce your model and I get this errors: 'Traceback (most recent call last): line 21, in data = web.DataReader(company, 'yahoo', start, end) line 210, in wrapper return func(*args, **kwargs) line 370, in DataReader return YahooDailyReader( line 253, in read df = self._read_one_data(self.url, params=self._get_params(self.symbols)) line 153, in _read_one_data data = j["context"]["dispatcher"]["stores"]["HistoricalPriceStore"] TypeError: string indices must be integers Does anybody now what is wrong? I tried to fix it in many different ways but nothing worked.
@giuliamancini753
9 ай бұрын
Same for me. I don't know what to do. Can some one help us?
@nippi86
7 ай бұрын
Same for me
@atasozuvesiirler
6 ай бұрын
Same for me..
@bielvv9148
6 ай бұрын
@@atasozuvesiirler Hey, if you're trying to get a project like this to work, I recommend trying to understant the basics and then building up the code with ChatGPT for example. By doing so I got it to work. Just so you can have some reference, I used yfinance to fetch the data. Good luck!
@atasozuvesiirler
6 ай бұрын
@@bielvv9148 thanks I already have the solution in same way too. 👍
@jaredfiacco1107
3 жыл бұрын
Thank you, @NeuralNine! The people who gave you dislikes need a neural network to predict better taste in tutorials.
@YundongCai
3 жыл бұрын
Line 87 should be real_data = [model_inputs[len(model_inputs) + 1 - prediction_days: len(model_inputs) + 1, 0]]
@srijanpareek4563
2 жыл бұрын
mate i am having error ValueError: Input 0 of layer "sequential_1" is incompatible with the layer: expected shape=(None, 60, 1), found shape=(None, 59, 1) THIS ISSUE IN LAST3RD LINE prediction=model.predict(real_data)
@kaushiksprabhakar9088
3 жыл бұрын
Awesome work dude🔥
@NeuralNine
3 жыл бұрын
thanks :)
@nallurivenkat7425
3 жыл бұрын
We need more and more videos of this kind. Just loved it.
@doruksrtoglu408
3 жыл бұрын
Hey, thank you so much for the video, very smooth and understandable. I agree the fellow commentators, please make a separate video to describe the mathematics behind the model. Thanks!
@loganathansiva7063
2 жыл бұрын
Thank you very much. I was looking for predictions made like this.. May god bless u.
@GabrielBauerr
3 жыл бұрын
yeah, theory behind would be great to know how to apply the knowledge in different projects and situations. great work man
@davidef2789
3 жыл бұрын
I wrote the whole code and installed Pandas, Anaconda, Tensorflow, etc. but I can't see anything because it gives so many errors
@CodeWithJoe
3 жыл бұрын
What was the actual success rate you had in predicting?
@hungpham1792
2 жыл бұрын
This is one of the best stock price prediction programming I have ever seen in my entire life, would love to see the math theory behind it as well
@JacobHKent
3 жыл бұрын
Looking back at the past couple of months of my life, one thing i've come to undertsand is that there is no greater advantage a newbie trader can have above having professional guidance. You'd be surprised how far you can go with some help
@JacobHKent
3 жыл бұрын
i recommend Michael Branagh, he's available via his telegram
@tamastimea1709
3 жыл бұрын
@@JacobHKent What exatly does he do for you? Does he sell you signals?
@bensonmccredden7102
3 жыл бұрын
@@JacobHKent Micheal is an absolute legend in the trading scene. I made my first 250 grand investing in his services, a good hunch told me to go big after receiving my second payout. Best investment I ever made!
@JacobHKent
3 жыл бұрын
@@tamastimea1709
@JacobHKent
3 жыл бұрын
clients only need to check in on the progress of their earnings from time to time and request withdrawals at the end of the investment tenure. I findthat putting money to work in this manner affords me the greatest asset of all, TIME. I wouldn't have it any other way.>>>>
@nivnikov3dnews
3 жыл бұрын
It'll be nice to value this model with 1$ invest on each day predicted to be growing. Just for fun :)
@faridparvez
Жыл бұрын
Great video, very clear. Please make a video on roadmap to learning python from scratch, specifically for stock analysis, chart analysis, getting trade signals using charts and statistical analysis of stocks. I mean create a roadmap on the course tailored cut for only stock trading. Regards Farid
@KingCAMBO
2 жыл бұрын
I used the code from this lesson yesterday 5/12/2022 to predict today's close on DIA. The prediction last night was 322.19 - Today's 5/13/2022 real-time close was 322.24!
@jakob4371
15 күн бұрын
So?
@lizardmtb6349
12 сағат бұрын
@@jakob4371 so that's pretty close > 5/12/2022 > 320.82 > prediction > 322.19 real-time close was 322.24
@Kotavedavyas
3 жыл бұрын
can any one help? ValueError: Input 0 of layer "sequential" is incompatible with the layer: expected shape=(None, 60, 1), found shape=(None, 59, 1)
@joehuang1889
2 жыл бұрын
Same error here, not sure either
@MrZach4454
2 жыл бұрын
did you figure it out?
@macel1602
3 жыл бұрын
Great video! And i would love to see some theorical mathematics about what's behind the functions you were talking about
Can someone tell me what he wrote in .value in line number 60??
@piotr780
2 жыл бұрын
lol, compare your predictions with naive prediction - which is last value price, people please don't believe in bsh models
@mr.sweaty7862
Жыл бұрын
When running (22.00) i get this error. How to fix? Traceback (most recent call last): File "C:\Users\soubi\PycharmProjects\tensorflow\Code\linear regression.py", line 19, in data = web.DataReader(company, 'yahoo', start, end) File "C:\Users\soubi\PycharmProjects\tensorflow\venv\lib\site-packages\pandas\util\_decorators.py", line 211, in wrapper return func(*args, **kwargs) File "C:\Users\soubi\PycharmProjects\tensorflow\venv\lib\site-packages\pandas_datareader\data.py", line 379, in DataReader ).read() File "C:\Users\soubi\PycharmProjects\tensorflow\venv\lib\site-packages\pandas_datareader\base.py", line 253, in read df = self._read_one_data(self.url, params=self._get_params(self.symbols)) File "C:\Users\soubi\PycharmProjects\tensorflow\venv\lib\site-packages\pandas_datareader\yahoo\daily.py", line 153, in _read_one_data data = j["context"]["dispatcher"]["stores"]["HistoricalPriceStore"] TypeError: string indices must be integers Also, I can't do from tensorflow.keras.models Import sequential or tensorflow.keras.layers... So instead i've done: from tensorflow import keras from sklearn.preprocessing import MinMaxScaler from keras.models import Sequential from keras.layers import Dense, Dropout, LSTM Is this okay?
@_applejuice_
Жыл бұрын
same
@melihaksoy1129
Жыл бұрын
did you guys find the solution.Im stuck too
@mr.sweaty7862
Жыл бұрын
@@melihaksoy1129 Nope. Not yet
@jihyeonku
Жыл бұрын
same
@morto1826
Жыл бұрын
tensorflow.python.keras.models import Sequential worked for me,as for the string indices must be integers, im struggling to figure that out now
@kamilzielinski593
3 жыл бұрын
this is actually my 6 months engineers degree condensed in 30 minutes
@giancarlo9866
3 жыл бұрын
You got an engineering degree in 6 months ?
@jsj6665
3 жыл бұрын
Lol
@bardocks72
3 жыл бұрын
Bs
@CodeWithJoe
3 жыл бұрын
How can I fix this? Traceback (most recent call last): File "main.py", line 38, in model.add(LSTM(units=50, return_sequences=True, input_shape=(x_train.shape[1], 1))) AttributeError: 'list' object has no attribute 'shape' Stackoverflow says that the issue is a 2d lis while it should be 3d, but i dont know what to do with that information?
@robertchu4434
3 жыл бұрын
Are you sure x_train is a numpy array and not a list?
@aayushregmi3456
3 жыл бұрын
I am facing NotImplementedError while executing this statement ----> 3 model.add(LSTM(units=50, return_sequences=True, input_shape = (x_train.shape[1],1))) can anyone help?
@doublegdog
3 жыл бұрын
love these very specific python videos! there are too many tutorial videos but not enough videos on specialized programming topics. I have been meaning to get started on algorithmic trading but had no idea where to start. It is as if you read my mind. Thank you!
@philippebaillargeon5204
Жыл бұрын
Here is a tip for everyone that is new to programming: Learn clean coding as you learn how to code. You're gonna thank me later. Cause I'll garantee if you don't know how to clean code and you just copy pasting stuff and adding lines of code your code is gonna be horribly hard to read and understand. Especially algorithms with heavy maths involved.
@CodewithParthAnand
3 жыл бұрын
can anyone write line 59 :- model_inputs = total_dataset[len(total_datase - len(test_voice - prediction_days:]).value)]
@thetagang6854
2 жыл бұрын
All that just to make a moving average...
@adebayoognibo4211
3 жыл бұрын
hi thanks for the video, I have a little problem on line 68 ---> AttributeError: 'numpy.ndarray' object has no attribute 'append'
@_M_643
3 жыл бұрын
You do the best programming tutorials. Easy to understand and learn. I have a question. Can you make a tutorial about how to make a Discord Bot written in Python. If you don't know what Discord is, it is one very popular chat platform.
@sonyh2so4
3 жыл бұрын
Hi ! When i tried to run the last part of the code in spyder, i had this error (not a warning like the video): ValueError: Error when checking input: expected lstm_4_input to have shape (60, 1) but got array with shape (59, 1) How can i solve this?
@parthbansal2775
3 жыл бұрын
I ran into the same problem, did you get a solution?
@kyleyoung4974
3 жыл бұрын
@@parthbansal2775 Look at your x_train = np.reshape lines.. those errors are regarding the reshaping usually
@kyleyoung4974
3 жыл бұрын
Look at your x_train = np.reshape lines.. those errors are regarding the reshaping usually
@parthbansal2775
3 жыл бұрын
@@kyleyoung4974 Thank you very much I fixed that
@marcmolinsdeamaya7189
2 жыл бұрын
@@parthbansal2775 Can you share how did you fixed pls? Im with the same issue, thanks!!
@wenhailing3158
3 жыл бұрын
This is awesome! But when I try to copy this code, it didn't work. Is there an available link or download spot for this?
@JamesLee-ed1up
3 жыл бұрын
Most newbies usually undermine and neglect the importance of technical analysis with regards to trading. Technical analysis overly predicts the movement of assets prices regardless of what is happening in the wider or broader market. Essentially, the education involves studying the paths of a particular asset movement in this past so as to establish a sustainable pattern that can be used to predict future movement of an asset. Doing technical analysis can be quite different which is why most newbies / traders neglect day trading their stocks/ coins and stick to holding which is very dangerous as when the market goes bearish, advise any newbies / traders to buy the dip for traders who are still wondering to enter the market or old time traders who are holders to seek help from not just any trader but an established trading expert with at least 96% trade accuracy .I underwent series of trading loses l'd best not talk about before I was introduced to trading analyst Mr Elvis Hercules My contact with him has been the Pinnacle of this year for me, under his careful guide and his signal service I've been able to recover my losses and even grow my trading portfolio massively from 1.6 BTC to 7 BTC and also from 10k to 67k in stocks ,in just 5 weeks. I orientation of trading will advice traders and newbies to before they involve in it. Mr Elvis Hercules,makes you learn daily while you make profit with his signals. he can be contacted via mail (elvishercules48@gmail.com)
@stevenduyck5204
Жыл бұрын
Could I say i need to change the last value from (model_inputs+1) to let us say '+5' to see price prediction in 5 days? real_data = [model_inputs[len(model_inputs) + 1 - prediction_days:len(model_inputs+1), 0]]
@ebz7486
Жыл бұрын
Hey were you able to figure this out I’m trying to do it now
@stansuen8072
3 жыл бұрын
Thanks! Love your videos. Wonder if there is a good way to detect pattern (instead of predict future prices) such as inverse head-and-shoulder and cup-and-handle?
@Cristian-bg1pr
3 жыл бұрын
Isn't TimeSeriesSplit Cross-Validation similar to your type of split? It kind of does the same thing. For example: "Train on first 3 days, predict on 4th, then train on first 4 days, predict on 5th" and so on, thank you!
@teamkraken1620
3 жыл бұрын
hey man, can you put the camera anywhere else or make it little smaller it blocks the code btw such a nice work keep it up
@NeuralNine
3 жыл бұрын
I noticed that as well. But since I scroll down later the code is always visible above ^^
@zuberkariye2299
3 жыл бұрын
@@NeuralNine that’s best position to be honest
@octavioloffaro
3 жыл бұрын
@@NeuralNine yeah, but not when the line is longer than the window, when you scroll the view returns to the left and some things are missed ex. line 60
@stephenhobbs948
3 жыл бұрын
Great video. Can you move the code up (hit the return 4-7 times) bc your camera is blocking part of the code to the right. If you press return, it will shift the code up so we can see entire line of code. Looking forward to seeing more. Do a video on Q learning.
@ilyshi
3 жыл бұрын
There is no sense in predictions, because you predict test values using test values, so we can see that lag on graphics. So there is no prediction, only delta to test_data. So, to be correct, you should use your predictions to predict another day. Then you see, that there is nothing common in your predictions and real data.
@Krumplyn
3 жыл бұрын
Hi, thank you for the quality content! I just wanted to let you know, that I would be also interested in the math behind the whole AI thing. Have a nice day and be safe :)
@press1to
2 жыл бұрын
I’m looking for someone to adapt this code with my parameter and formulas
@g.paudra8942
2 жыл бұрын
This is more simple code than i use, if you try to use epochs up to 1000 and batch size 64, maybe the accuracy will be same as my model, mine is always above 99% predicting the next day closing
@sketchychillandchill
2 жыл бұрын
Is your test data in your train dataset?
@ryanreddy8450
3 жыл бұрын
Great stuff. Could you possibly do a video on how to deploy these into production where newer data is automatically fed in, so we do not have to keep training the models again and again?
@dvdplays8444
2 жыл бұрын
if that was possible then the stock market would be pointless cause everyone would use it
@prithvirajjain9927
3 жыл бұрын
Hey! Can you help me solve this error I got: NotImplementedError: Cannot convert a symbolic Tensor (lstm_1/strided_slice:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported
@jinyoungpark8999
3 жыл бұрын
Downgrading Python to 3.6 solved it for me.
@_Loki__Odinson_
3 жыл бұрын
Man believe me you would surely get a lots of subscribers in a very few time You are siriously awesome dude
@hiroshikohama5099
3 жыл бұрын
Thanks your amazing video, but I noticed you should stealthily modify the line 87's code. real_data = [model_inputs[len(model_inputs)+1-prediction_days:len(model_inputs)+1,0]] this is correct, isn't it?
@zhihaochang8683
3 жыл бұрын
Same question here, since it is to increase the length of the model input by 1
@anisbankar2389
3 жыл бұрын
The yahoo api is not working, is there an alternate solution
@tomdvorak5397
2 жыл бұрын
Shameless plagiarism of this video scored me an A on my semestral project. Thank you buff Ben Shapiro.
@tomdvorak5397
2 жыл бұрын
@@alexmercer8657 I mean, I sew parts of what I saw in his video into my already existing code. Also I wrote it in Jupyter. But I can share if you want. Where do you want it sent?
@alexmercer8657
2 жыл бұрын
@@tomdvorak5397 sir are you available on telegram?
@alexmercer8657
2 жыл бұрын
ssshhh2006 is my username could you please forward it over here?
@jamesluchak5378
3 жыл бұрын
Where can I get the github repo for the code in the video?
@kaiprzadka6896
3 жыл бұрын
Very cool! I did the same, but tried it with linear regression. I really recommend changing the Programm a bit, so it tells you If the price will Go Up or down, NOT the exact Number. This is way more accurate and even though it's Not as informative, it probably is more usefull. I did the same with my linear regression attempt and that improved the average accuracy by quite a few percent.
@amarmemane2583
3 жыл бұрын
hey, kai is this possible to share your code with me?
@ShakTMT
3 жыл бұрын
Hey ,what did you change to make that edit? Thanks
@kaiprzadka6896
3 жыл бұрын
@@ShakTMT Well, the easiest solution would be to compare the current price and the predicted price.
@carlosmacias7880
2 жыл бұрын
This bot predicted the crypto crash no joke. Great job
@ZÏ̇̃
3 жыл бұрын
I get red lines below keras, when importing it. I aslo get red lines below: Sequential, Dense, Dropout and LSTM. Its importing issues I think. Do anyone know how to fix it?
@paulgasnier4545
3 жыл бұрын
You have to import them using pip In a terminal use : pip install name_of_the_library
@zuberkariye2299
3 жыл бұрын
@@paulgasnier4545 I fixed some of them by installing repositories from the internet --> pip install ..... but what the other guy mentioned up there did not work for me too!
@paulgasnier4545
3 жыл бұрын
@@zuberkariye2299 i think that Dense, Dropout and LSTM are subdivisions of the tensorflow library so try installing tensorflow
@Itschotsch
3 жыл бұрын
Yes please, theoretical videos would be of great help!
@RemorfChuket
3 жыл бұрын
24:26 shouldn't that be len(model_inputs)+1 with the parenthesis before the + 1? also I'm pretty sure that it doesn't even do anything since I tested it and it returns the same array
@25_FpS
2 жыл бұрын
Very informative video, can you provide the link for the code ?
@akramelomrani8728
3 жыл бұрын
I am so happy that I am one of the oldest channel members you taught me a lot about sockets and also your project ideas are amazing cant wait to see much more I think you are in the road of becoming one of the biggest channels
@lbproductions6215
3 жыл бұрын
Hey can you make a Video about a Project in C++ because i've watched your cpp Playlist but I don't know what to do with this Skill 😂
@NeuralNine
3 жыл бұрын
Maybe in the future yes ^^
@shoakromyusupov7297
Жыл бұрын
Traceback (most recent call last): data = web.DataReader(company, 'yahoo', start, end) TypeError: string indices must be integers Why I am getting this error and how to overcome? Pls, help!
@bielvv9148
Жыл бұрын
I have the same error and I don't know what to do. Have you solved it?
@norfside5144
5 ай бұрын
@@bielvv9148 you can use yfinance instead
@rantg
3 жыл бұрын
January 15 was Friday, you recorded on Monday which was 18th, and there was no trading that day. The day after, 19th, the price was 261.10, which is far far from the prediction. Most ML for trading today is not working really, and DSP gives better results since its more transparent.
@timeshiftbr
3 жыл бұрын
I’d love to see a more technical video. I like to understand what is happening that actually takes me to the results I get, so I can then understand how to make it better. Nice video, man, congrats for your work
@marcoscully7021
3 жыл бұрын
you should check out coding trains neural network playlist it goes into a lot of depth into how neural networks function
@smalltribes88
3 жыл бұрын
MIT posts all of their lectures in algorithmic models on KZitem, more technical than you probably even want hahah
@fredyhazard6412
4 ай бұрын
I do everything, like you but I got that error 5 end = dt.datetime(2023,1,1) ----> 7 data = web.DataReader(company, 'yahoo', start, end) 10 scaler = MinMaxScaler(feature_range=(0,1)) 11 scaled_data = scaler.fit_transform(data['Close'].values.reshape(-1,1)) 'NoneType' object has no attribute 'group' I tried with Jupyter, Visual estudio and Pycharm the same, why? plizz 🙏 help
@milepivo
3 жыл бұрын
Did you have this code scripted somewhere and you just retyped it or you typed it live while recording the video?
@CodeWithJoe
3 жыл бұрын
what comes after value in line 60? model_inputs = total_dataset[len(total_dataset) -len(test_data) - prediction_days:], value
@NeuralNine
3 жыл бұрын
nothing it ends with .values ^^
@CodeWithJoe
3 жыл бұрын
@@NeuralNine danke, ich hatte value deswegen der series error. Geiler kanal junge danke für die ganzen videos, mach weiter so
@shuvampaul6399
3 жыл бұрын
I am getting an error saying "Value Error: Expected 2D array, got 1D array instead:" Please help in this case
@pietroaminpuddu1850
3 жыл бұрын
Just use the reshape with numpy
@alexismathon7548
3 жыл бұрын
if you have that during the scaling process, that's why you have the .reshaping(-1,1) operation just before scalling. The scaler need a 2D array so a list of lists (in this case a list of 1 number lists : dim(x, 1)). if you feed the scaler with a 1 dimensional list (list of numbers : dim(x)), it will not be happy.
@AdoukaStalks
3 жыл бұрын
Man you do be grinding!
@NeuralNine
3 жыл бұрын
always ^^
@ayanshsworld9057
Жыл бұрын
Where I can find the code for testing ?
@marcioslsouza
3 жыл бұрын
Hi! Amazing video! Let me ask you a question. Why you are getting that warning about "Tensorflow:Model was constructed with shape (None, 60, 1) but was called on an input with incompatible shape (None, 59, 1)"
@doffey01
2 жыл бұрын
Change real_data = [model_inputs[len(model_inputs) + 1 - prediction_days:len(model_inputs+1), 0]] to real_data = [model_inputs[len(model_inputs) - prediction_days:len(model_inputs+1), 0]] theres a + 1 that messes it up.
@randalltockes2247
5 ай бұрын
Really like your videos, I've watch many at this point. Only thing I would comment is that as much as its nice to see you at the beginning/end, I think it would help to turn off your video while actually writing code. I was frustrated a few times trying to keep up when you were coding along the bottom of the window and the right extents were hidden by your pip which is kind of unnecessary. Anyway that said, enjoy the content. Keep it up.
@arttucker9913
3 жыл бұрын
Everything worked great until the "Predict Next Day" section, which resulted in the following error: > ValueError: Error when checking input: expected lstm_input to have shape (60, 1) but got array with shape (59, 1) Still struggling to find the fix.
@MrZach4454
2 жыл бұрын
did you ever figure it out?
@LionAnimations
2 жыл бұрын
@@MrZach4454 remove one +1
@michelhaj43
3 жыл бұрын
can you create a video to show us how do we calculate the model accuracy in numbers
@Sturmbutcher
2 жыл бұрын
Very well explained! I am trying to figure out if I can predict the price of certain currency and then calculate the "value at risk". My doubt is, I have to train this model every day to get a better result? I plan to use it on production to compare it with the actual state of art of "value at risk", using the covariance or the historical method.
@DiegoSanchez-oy8qz
3 жыл бұрын
hello, NeuralNine thank you for share your knowledge with the community, i'm getting this error IndexError: tuple index out of range when i run the code x_test = np.reshape(x_test, (x_test.shape[0], x_test.shape[1], 1))
@DiegoSanchez-oy8qz
3 жыл бұрын
@NeuralNine
@messiass.demelo9117
3 жыл бұрын
Hello Florian, How are you doing? Thanks for this amazing video. However, when I've tried to run code, many times, I got a "predicted prices" totally diferent even thought I used the same parameters and dates you did. Could you please help me to verify what's missing.
@JamesLee-ed1up
3 жыл бұрын
Most newbies usually undermine and neglect the importance of technical analysis with regards to trading. Technical analysis overly predicts the movement of assets prices regardless of what is happening in the wider or broader market. Essentially, the education involves studying the paths of a particular asset movement in this past so as to establish a sustainable pattern that can be used to predict future movement of an asset. Doing technical analysis can be quite different which is why most newbies / traders neglect day trading their stocks/ coins and stick to holding which is very dangerous as when the market goes bearish, advise any newbies / traders to buy the dip for traders who are still wondering to enter the market or old time traders who are holders to seek help from not just any trader but an established trading expert with at least 96% trade accuracy .I underwent series of trading loses l'd best not talk about before I was introduced to trading analyst Mr Elvis Hercules My contact with him has been the Pinnacle of this year for me, under his careful guide and his signal service I've been able to recover my losses and even grow my trading portfolio massively from 1.6 BTC to 7 BTC and also from 10k to 67k in stocks ,in just 5 weeks. I orientation of trading will advice traders and newbies to before they involve in it. Mr Elvis Hercules,makes you learn daily while you make profit with his signals. he can be contacted via mail (elvishercules48@gmail.com)
@gustavoreyes6442
3 жыл бұрын
I would appreciate it if you explain the theory behind this project. Anyway, excellent video
@edilgin622
Жыл бұрын
you scaled the data before splitting it. If you scale before splitting then you are introducing mean and variance values of the test set to the model which is called data leakage and you are probably getting results that dont reflect the reality of the model.
@noneedtoknowaname8199
3 жыл бұрын
Hi! I followed your tutorial step by step but all I am getting a mostly flat green line way on top of the actual share price. Why could this be the case and how can I make it more sensitive?
@necrolyptic
3 жыл бұрын
awesome video, however the model definitely needs some tuning. Looking at historical data, the predicted price was far off from the real price on feb 2nd 2021
@privateeye242
3 жыл бұрын
Does not work. I get Cuda errors.
@JamesLee-ed1up
3 жыл бұрын
Most newbies usually undermine and neglect the importance of technical analysis with regards to trading. Technical analysis overly predicts the movement of assets prices regardless of what is happening in the wider or broader market. Essentially, the education involves studying the paths of a particular asset movement in this past so as to establish a sustainable pattern that can be used to predict future movement of an asset. Doing technical analysis can be quite different which is why most newbies / traders neglect day trading their stocks/ coins and stick to holding which is very dangerous as when the market goes bearish, advise any newbies / traders to buy the dip for traders who are still wondering to enter the market or old time traders who are holders to seek help from not just any trader but an established trading expert with at least 96% trade accuracy .I underwent series of trading loses l'd best not talk about before I was introduced to trading analyst Mr Elvis Hercules My contact with him has been the Pinnacle of this year for me, under his careful guide and his signal service I've been able to recover my losses and even grow my trading portfolio massively from 1.6 BTC to 7 BTC and also from 10k to 67k in stocks ,in just 5 weeks. I orientation of trading will advice traders and newbies to before they involve in it. Mr Elvis Hercules,makes you learn daily while you make profit with his signals. he can be contacted via mail (elvishercules48@gmail.com)
@frederikdegn8221
3 жыл бұрын
Hey man, super nice video, i have this problem, when the chart shows up, the first point on the chart (green line, most left) is super high, and then quickly dips and follows like it should. any way to fix this?
@IlyaVassilevsky
3 жыл бұрын
Why LSTM layers have 50 units each?
@Darro2017
11 күн бұрын
Is it that the case the web.Datareader method does not work for yahoo anymore ? I see that yfinance library seems to work.
@anant.jain11
3 жыл бұрын
man, you're amazing. just amazing, no words i calculated the r2_score for FB dataset prediction it's 0.86 you're predicting stock market with that much accuracy. i might just trade on that 😁 love your content man, keep up the good work❤👍
@srkk3360
3 жыл бұрын
could you tell me the code for it
@enomin0712
4 ай бұрын
I keep getting error saying that LSTM isn't defined. Is there a way to fix this?
@punyagalundia9160
3 жыл бұрын
I absolutely love your videos and they have really helped me get started with coding as a beginner. Would love it if you could put your video in another corner so code is visible at all times. Thankss
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