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Python, I am very new to ML/Python so I was looking for some help. Can you tell me what kind of setup I would need to optimally trade 2 or so pairs of currency? I am looking to build a new machine and the setup I had in mind was as follows: AMD R9 3900x, Gigabyte Aorus Master X570, 1 TB NVME, 64GB DDR4 3600, 850W PSU( to start), RTX 2080ti (single to begin then adding a second in NVLINK). Both CPU and GPU will be cooled in a custom loop. Thank you for your help.
My wife wants to know if you are from Slytherin.
If you are going through these videos be sure to use an older version of plotly. I rolled back to 3.3.0 in order to make sure the tests were the same as the examples. pip install plotly==3.3.0
Ok nice…. but did you gain anything? This video is from 2017.
Lol did he just say price is not a good indicator.
Great tutorial. Thanks for using the ideas from my paper. By the way, I have updated the algorithm and have the updated code in Matlab and now using more classifiers like XGboost and logistic regression.
There's now a source of forex data for training machine learning algorithms in AWS. You can find it at https://aws.amazon.com/marketplace/pp/B07MXNWXSD?qid=1548259303111&sr=0-1&ref_=srh_res_product_title
I've been trying to implement my scaloing strategy into code for a while. My eyes and my brain can recognize the charts and what's going to happen. Turning that into code is hard.
sendex is the best!
Price action is a fundamental piece of algotrading, wether is an indicator, RSI, volume, to name a few, which the vast mayority do A KNOWLEDGE what price is Doing.
Been trading for a while, and the only true indicator to predict price, is price itself.
If you think about it, Bollinger bands, MACD, stochastics, Fourier, sine and what not, ARE ALL NOTHING MORE THEN MATHEMATICAL DERIVATIVES OF PRICE ACTION.
Was the series ever completed?
How long did it take you to learn this? I don't have much of a coding background but for my model in graduate school I need a daily bias predictor, your original concept from the paper is daily. Thanks for showing us all the framework of building it
sell the code?
Could somebody publish this source code on a some public resource (github or etc…)?
At least feature preparation code?
Hey man! Great work! I wanted to know, is this the same as an expert adviser??
Hi buddy, great playlist you got here, I am big ML fan in Financial Markets.
I am video 2 and I get this error:
Traceback (most recent call last):
File "C:/Users/Jay Son/OneDrive/HIT400/MLforecasting/data processing.py", line 8, in <module>
df.date = pd.to_datetime(df.date,format='%d.%m.%Y %H:%M%:S.%f')
File "C:UsersJay SonOneDriveHIT400MLforecastingvenvlibsite-packagespandascoretoolsdatetimes.py", line 376, in to_datetime
result = _assemble_from_unit_mappings(arg, errors=errors)
File "C:UsersJay SonOneDriveHIT400MLforecastingvenvlibsite-packagespandascoretoolsdatetimes.py", line 446, in _assemble_from_unit_mappings
unit = {k: f(k) for k in arg.keys()}
File "C:UsersJay SonOneDriveHIT400MLforecastingvenvlibsite-packagespandascoretoolsdatetimes.py", line 446, in <dictcomp>
unit = {k: f(k) for k in arg.keys()}
File "C:UsersJay SonOneDriveHIT400MLforecastingvenvlibsite-packagespandascoretoolsdatetimes.py", line 441, in f
if value.lower() in _unit_map:
AttributeError: 'tuple' object has no attribute 'lower'
Any help?
the paper details:
https://www.researchgate.net/publication/236896558_FOREX_Daily_Trend_Prediction_using_Machine_Learning_Techniques
I am Areej Baasher one of authors of the Research Paper "Forex Daily Trend Prediction using Machine Learning Techniques"
which you used as a resource, you did a good job youtubing this tutorial.
Where did you reach in applying the algorithm?
I am Areej Baasher one of authors of the Research Paper "Forex Daily Trend Prediction using Machine Learning Techniques"
which you used as a resource, you did a good job youtubing this tutorial.
Where did you reach in applying the algorithm?
good tutorial, though it's a shame that it stopped updating. maybe he is already too rich to be a youtuber.
you are awesome! hope to see more videos coming!
Thanks for sharing your compilation. Great work, waiting for your next update:)
Any update on this?
you selling you program?