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

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.

Skills: Financial Research, Machine Learning, Python

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About the Employer:
( 40 reviews ) jacksonville, United States

Project ID: #17395991

6 freelancers are bidding on average $230 for this job

richardmquant

Hi please take a look at my profile Relevant Skills and Experience Hi please take a look at my profile Proposed Milestones $888 USD - For completed work

$888 USD in 10 days
(4 Reviews)
4.1
hiteshabheda

I have a team of experienced Machine Learning, Deep Learning, AI and Python developers with great hands-on experience. Relevant Skills and Experience We have already worked on stock alert applications and can be easy More

$111 USD in 10 days
(2 Reviews)
3.1
julio2Cesar32

We can use a neural network to try find a best price. Or a probabilistic model to fin best chances of up and dow. I used a LSTM but this network work better in very small intervales. Relevant Skills and Experience neu More

$88 USD in 10 days
(8 Reviews)
2.4
$105 USD in 10 days
(1 Review)
0.0
LetsDoItApp

Develop an application to analyze NSDAQ data, the application can be developed in tensorflow, or in pytorch Relevant Skills and Experience I have a degree in computer science, I have deep learing subjects. Proposed M More

$80 USD in 10 days
(0 Reviews)
0.0
eecs93

Please send data and suggested algorithm needed for processing. Relevant Skills and Experience My preferred method of freelancing is an interactive approach to project solving. I have an MSEE specializing in DSP (tim More

$105 USD in 10 days
(0 Reviews)
0.0