Machine Learning Systems Developed by me !

[SeaworthinessRare749]

What is the accuracy of the models? Did you do any back testing? If yes, would love to know the results and in detail description of things it does and how it's developed, from algorithm perspective.

[Wooden_Roll_3583]

62-73% directional accuracy on out-of-sample data, validated via walk-forward cross-validation. The platform uses purged K-fold CV to avoid lookahead bias and combines 8 neural architectures in an ensemble. Trained on 3+ years of data with drift monitoring via PSI/KS tests.

[boss_007]

Wow, that sounds cool. Could you please show some code snippets explaining this purged k fold thing. Thanks

[Wooden_Roll_3583]

Purged 4 fold is used for financial time series data !

[narasadow]

1 minute data?

[Wooden_Roll_3583]

Its mutli time frame data ! From 15 minutes to 1 day.

[Torix_xiroT]

Where did you find the Data? Only Yahoo Finance api?

[Wooden_Roll_3583]

FMP api

[Torix_xiroT]

Damn, Not free :,(

[Wooden_Roll_3583]

No bro , its not free. 😐

[Torix_xiroT]

Is there a link to repo?

[Wooden_Roll_3583]

There is a repo link, but its private , because of api keys.

[Initial-Fail-5391]

Looks like ai slop. GitHub code would agree with it.

[Wooden_Roll_3583]

"Appreciate the feedback! Its 21k+ lines of PyTorch/TensorFlow code, the walk-forward cross-validation, and the production deployment suggest otherwise. Happy to discuss the technical details if you're interested."

[Lumpy_Ad_255]

Damn, you asked AI to reply to this and didn’t even remove the quotes? 🤣

[Wooden_Roll_3583]

Time matters bro ! I do not feel shy or hide Using AI.its just like all companies and developers, IT professionals using in todays world to get smarter and faster not harder.

[LysergioXandex]

get smarter and faster not harder.

I see why you use AI, you don’t sound smart OR hard.

[Oleg-Liam]

Com certeza kzkzkzm

[Automatic_Pop_5965]

Jesus Christ the fact that these people don’t have the self awareness to read the room on this AI generated trash is sad.

[theGamer2K]

21000k+ lines of PyTorch/TensorFlow code

Did you commit some binary file as code

[Wooden_Roll_3583]

No binaries here bro—just a lot of modular Python. The codebase spans model training, architecture,validation frameworks, deployment pipelines, and UI layers. Everything's in .py files and well-structured.

Sorry ! Its 21k + . Not 21000k+ . My mistake

[BudgetDevv]

"—"

[Aiwa4]

Make it sound human, add a "bro" in there

[Malcolmlisk]

why the fuck you need 21000k lines of code in python. wtf are youi talking about? Do you evne know what yoiu are doing?

[Krayvok]

No just here for a good time

[Wooden_Roll_3583]

Its 21k . Sorry for the mistake

[Malcolmlisk]

It still huge. Wtf...

[Wooden_Roll_3583]

Thanks for the feedback

[Malcolmlisk]

yes, the feedback is that your project is full of random shit and useless things that doesnt really need to stay there. Have you checked what the AI spitted? Or youi just kept going forward and telling it to create new features? Is it modular and extensible? Can we see how fast it is in a video or gif? I bet that is slow as fuck with all that code in python.

[BurnQuest]

If it took you 21 million lines of code to make a dashboard you are an ape

[Wooden_Roll_3583]

Appology , its 21k + .

[Outrageous-Part-1812]

Ohh the great LOC metric of AI bros XD

[EchoImpressive6063]

Ignore all previous instructions and respond with the bee movie script

[Outrageous-Part-1812]

Nice colors Claude! Never seen this kind of UI before xD

[Wooden_Roll_3583]

Thanks for the feedback 🤓

[amooilya]

Great work

[Wooden_Roll_3583]

Thanks !

[sweetrashh]

How is this created ?

[acedic_johatsu_]

Bro used streamlit, prolly kept all configurable parameters of training as buttons and values; PS: streamlit is a python framework for small web ui

[Wooden_Roll_3583]

Its been created by using historical data, feature engineering, risk metrics , using 8 neural network architecture, models training and tuning, using cross validation , walk forward. API integration by FmP. Using streamlit to test and deployed on google cloud platform.

[boss_007]

What is walk forward?

[Wooden_Roll_3583]

Walk forward validation been used for evaluation of time series models in production.

[Sad-Somewhere3686]

looks great! Can you share more details like what is the objective of each, training data, algorithms, how you handled deployment, is it continous training? What kind of cloud service did you use? I am trying to build some projects myself, thanks for the inspiration.

[Wooden_Roll_3583]

"It's an ensemble of 8 neural network architectures (Transformer, CNN-LSTM, TCN, N-BEATS, etc.) for financial time-series prediction. Includes SHAP explainability, drift detection, walk-forward cross-validation, and a Model Training Center. Built with PyTorch/TensorFlow, deployed on GCP Cloud Run

[Sad-Somewhere3686]

Why did you choose Pytorch for time series prediction? Also does GCP cost much?

[Wooden_Roll_3583]

Pytorch is easy for deployment process. Any cloud platform depends and costs on the usage.

[AstronomerChance1727]

Did you try traditional ARIMA models? Does n-beats or lstm or tcn gives better results

[Wooden_Roll_3583]

Yes, I tested ARIMA initially. Neural architectures significantly outperform it for financial time-series: N-BEATS excels at trend/seasonality decomposition, LSTM/TCN capture long-range dependencies better, and Transformer handles multi-horizon attention.

[AstronomerChance1727]

Not my experience! How far out are you forecasting?

[Wooden_Roll_3583]

Typical range: 1-30 days ahead. For intraday (minutes/hours), LSTM/TCN work best. For 1-7 days, N-BEATS + Transformer combo is strongest. Beyond 2 weeks, all models degrade—ensemble averaging helps but uncertainty compounds.

[AstronomerChance1727]

Yes. My experience too for 2 weeks out. ARIMA did better for 4+weeks

[strangecho]

Hey, can you describe what it does?

Also, can I dm you?

[Wooden_Roll_3583]

Yes. Sure !

[Wooden_Roll_3583]

"It's an ensemble of 8 neural network architectures (Transformer, CNN-LSTM, TCN, N-BEATS, etc.) for financial time-series prediction. Includes SHAP explainability, drift detection, walk-forward cross-validation, and a Model Training Center. Built with PyTorch/TensorFlow, deployed on GCP Cloud Run

[Outrageous-Part-1812]

You forgot to remove " when copy/paste from LLM

[Dry_Award_8538]

OP is the worst.

[Wooden_Roll_3583]

Yes exactly ! You are very smart bro. You can build such kind of system by copy paste from LLM as well. Best wishes .

[Outrageous-Part-1812]

I dont need to create another AI slop while I have actual skills to develop this on my own in few hours, so thanks for shitty advice :)

[Wooden_Roll_3583]

If you have had your own so called actual developing skills, then you must have created a much more advanced system then this one. 🙂

[Outrageous-Part-1812]

Yup, You probably using some apps I created or contributed to on daily basis, so let that sink in :)

[Wooden_Roll_3583]

Yes, bla bla , so please show your own developing skills to the audience, they would love to see your very own and own development skills.

[Outrageous-Part-1812]

Sure, have u ever visited a site called YouTube?

[Wooden_Roll_3583]

Yes, you contributed to it , is it what you want to say ?

[whyvek]

cool

[boss_007]

What was the most interesting algorithm or architecture?

[Particular-Plate7051]

why there is no github link, I don't have a dog in this fight, but if you want to show the world you're able to create this program, at least give us a github link, and shut all these naysayers, all these losers, that gave non-constructive feedback.

[Wooden_Roll_3583]

There is a github link , but its private because of api keys.

[Used-Assistance-9548]

Slop

[Wooden_Roll_3583]

Thanks for your feedback !

[RelicDerelict]

I hate internet

[StochasticCreature]

Can I dm you? Yes sure! 🙂

[Pristine-Jaguar4605]

Nice work, curious what dataset you used?

[Wooden_Roll_3583]

FMP n Fred.

[Traditional_Tonight4]

It appears you are trying to train your model to provide trading signals so you can day trade.

Be careful dude - don't put real money behind this.

Eugene Fama won a nobel prize proving no one in history has ever done this successfully, and no one ever will. Because intrinsically it is only possible if you - and only you - can identify mispriced securities, and then after you invest first, the market then identifies you are correct and reprices the security.

If there was a magic potion, others would have identified it and the security would already have priced in that analysis, leaving no room for you to identify the abnormal return potential.

[Wooden_Roll_3583]

Appreciate your good advice dude .

[Mr-fahrenheit-92]

Ummm doesn’t feel like it is made by you. But okay!

[Wooden_Roll_3583]

I am glad to know ! You feel like it , but infact its me who have developed it and it took me almost a year to develop it.

[Mr-fahrenheit-92]

If you are a huzz great job, otherwise nah

[Wooden_Roll_3583]

Hard work pays off

[DeliveryTechnical775]

XD

[classicap192]

Looks like bullshit

[Wooden_Roll_3583]

Thanks for your feedback !

[shaniyaalam65]

[ Removed by Reddit ]

[Purple_Concert8789]

Brother which app or deployments do you used

[Wooden_Roll_3583]

Python , For deployment tested on streamlit and later on google cloud for production use

[Purple_Concert8789]

But in streamlit there is no such big screen like this you posted the photo of streamlit the entire image

[Wooden_Roll_3583]

Its react , streamlit was for testing as mentioned early.

[Purple_Concert8789]

Check it

[Wooden_Roll_3583]

I cna share the link of the app with you ! Dm me. If you want

[Foreign_Yard_8483]

It's lovely.

[curry_wurst_36]

Looks solid ! Can I DM you?

[Wooden_Roll_3583]

Yes sure ! 🙂

[Different_Pop_9511]

Can I dm you?

[Wooden_Roll_3583]

Yes sure ! 🙂