In Progress

Adjust Script - Stock Price Forecast - Python -- 3

PS: I already have the script, I just need to adjust it for the best result.

I have a mass of data with about 44,000 rows.

**** I would like to predict the movement of 2000 lines.

I hired a freelancer who generated a code, but the movement the script is generating is not real. Please check the attached images.

He used 70% for training, 30% for testing and the model behaved very well and with low error in the mass of test data.

The problem is in the forecast of the next 2000 lines.

It generates a line that is not real in my view, as the price does not walk in a straight line.

Skills: Python, Machine Learning (ML), Deep Learning

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About the Employer:
( 14 reviews ) Sao Bernardo do Campo, Brazil

Project ID: #32298796

Awarded to:

itcdamico

Hello, I'm a professional Python developer, experienced with data science. I'm available to help with your code.

$80 USD in 1 day
(5 Reviews)
2.7

11 freelancers are bidding on average $174 for this job

saubhagyamweb

+++++++++++++++++++++++++++++++++++ Hello There, Hope you are doing well I have checked about your requirements and my skills are a match. I have relevant 5+ years of expertise in Python, Data Analysis, object dete More

$250 USD in 7 days
(27 Reviews)
6.4
tausy

Hi, I'm an experienced data scientist with over 7 years of active development experience building Machine learning and AI systems using multiple tools and technologies including R, Python and PySpark. I hold a Masters More

$250 USD in 7 days
(61 Reviews)
6.1
borutflis

Hello, I am a Python and Data Science expert with a keen interest in financial analysis. You appear to have trouble with out of sample data. Do you add new data-points in real time? What library do you use for the m More

$200 USD in 7 days
(26 Reviews)
5.5
sramireddy065

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$140 USD in 7 days
(45 Reviews)
5.6
KolaPeters

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$140 USD in 5 days
(7 Reviews)
4.5
umairkaramat24

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(7 Reviews)
4.0
freelancerIrvan

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(5 Reviews)
4.1
loopsatomic

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(8 Reviews)
2.9
rahulg5466

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pkundu25

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0.6