Deep learning equity analysis software (price targets ranges daily) GPU

I need a program that can analyze NASDAQ data for any stock. I want it to tell me potentional resistance points and price targets, ranges and direction based on the equity and NASDAQ index. Should use real time data. I want it to run on my PC using deep learning. I dont care how long it takes to process, but hopefully no more then 10 minutes so i can plan trades out. I currently trade stock but i would like a little help for setting both buying and selling price targets.

I want to enter a stock symbol and then have it use the historical rise in nasdaq and comparison to amazon stock and have it PREDICT the daily range for the day, nasdaq high and low, stock high and low. also, when i want to enter an order i want it to tell me the likelihood the stock will go up that day and a percentage for the next 20 days.

To perform this deep learning, the software must use live ticker data. It is not enough to use daily high-low data. It must also use tradebook data, like level 2, since that is where the resistance points are derived from.

I am an experienced trader with over 95% cash positive trades. I would like to test the program while I am trading to see if we need any modification when the market adapts to my trades.


Umiejętności: Badania finansowe, Uczenie maszynowe, Python

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O pracodawcy:
( 40 ocen ) jacksonville, United States

Numer ID Projektu: #17459533

3 freelancerów złożyło ofertę na kwotę $589 do tego projektu

$1111 USD w ciągu 30 dni
(1 Ocena)

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$100 USD w ciągu 10 dni
(0 Oceny)
$555 USD w ciągu 20 dni
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