Application to use Machine Learning to Predict UK/US Stocks
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Post a project like this1148
£499(approx. $632)
- Posted:
- Proposals: 11
- Remote
- #3177979
- OPPORTUNITY
- Awarded
Data Scientist | Machine Learning Engineer | MLOps | Natural Language Processing | Python Developer
Setif
♛React, PHP, Laravel, WordPress, Logo design, App Developer, AWS expert on PPH.
London
Mobile App Consultant & Developer | iOS, Android | Flutter, React Native | App Strategy Expert
Lucknow
Artificial Intelligence| machine Learning |Deep Learning |Computer Vision |Medical Imaging | NLP
Kimhae
software engineer|Full-Stack Software Developer| web developer| App developer | AI Engineer | WordPress
Indore
524704145699696788916104502306654280377234271713710886397728050415915233883
Description
Experience Level: Expert
We want to provide a web-based stock prediction solution that accurately predicts the value of a listed stock 90 days in advance.
We require a developer to create the machine learning algorithm from the start and show the data as a simple visual ‘scoring’ solution to provide the user with a projection of where the algorithm predicts the stock will be within the next 90 days. The prediction needs to include a straightforward risk-scoring (1-10) on how accurate we believe the prediction is.
For example:
Goog currently at $2,101.14
- Predicted 7+ days - $2,134.14 (Risk Score 1)
- Predicted 30+ days - $2,123.13 (Risk Score 5)
- Predicted 60+ days - $2,134.10 (Risk Score 7)
- Predicted 90+ days - $2,132.02 (Risk Score 9)
The data would be shown in a table and line chart, showing last 60 days plus predicted levels for the 90+ days – the longer the period of time, the higher the risk score is.
All US and UK stocks should be listed and we do not require any other systems to be integrated into the platform for now.
Key features/functions
User
• A secure registration and login using a verified email address, the customer will have access to 10 days prediction
• Simple HTML/CSS dashboard to allow user to search and select US and UK stocks
• Daily email alerts on ‘saved’ stocks
• Able to change password/email with additional verification
Admin
• Admin dashboard to monitor signups and basic user data
• Tracking of each stock prediction
• Tracking of prediction accuracy – what is the accuracy score?
Development
• ML algorithm to be created and tested using live stock date through API
• Application will be required to use the API from https://www.alphavantage.co/ to provide the real time stock data
• Application to sit within a sub-domain of TLD – like dashboard.domain.com
• Developed using PHP, with clear defined comments on core coding
• Simple CSS/HTML dashboard which is fully responsive
This first solution will be a beta product, as such the accuracy of the prediction algorithm needs to be a primary focus. Once it has been proven to provide an accurate (within agreed parameters) solution then additional features will be added.
We require a developer to create the machine learning algorithm from the start and show the data as a simple visual ‘scoring’ solution to provide the user with a projection of where the algorithm predicts the stock will be within the next 90 days. The prediction needs to include a straightforward risk-scoring (1-10) on how accurate we believe the prediction is.
For example:
Goog currently at $2,101.14
- Predicted 7+ days - $2,134.14 (Risk Score 1)
- Predicted 30+ days - $2,123.13 (Risk Score 5)
- Predicted 60+ days - $2,134.10 (Risk Score 7)
- Predicted 90+ days - $2,132.02 (Risk Score 9)
The data would be shown in a table and line chart, showing last 60 days plus predicted levels for the 90+ days – the longer the period of time, the higher the risk score is.
All US and UK stocks should be listed and we do not require any other systems to be integrated into the platform for now.
Key features/functions
User
• A secure registration and login using a verified email address, the customer will have access to 10 days prediction
• Simple HTML/CSS dashboard to allow user to search and select US and UK stocks
• Daily email alerts on ‘saved’ stocks
• Able to change password/email with additional verification
Admin
• Admin dashboard to monitor signups and basic user data
• Tracking of each stock prediction
• Tracking of prediction accuracy – what is the accuracy score?
Development
• ML algorithm to be created and tested using live stock date through API
• Application will be required to use the API from https://www.alphavantage.co/ to provide the real time stock data
• Application to sit within a sub-domain of TLD – like dashboard.domain.com
• Developed using PHP, with clear defined comments on core coding
• Simple CSS/HTML dashboard which is fully responsive
This first solution will be a beta product, as such the accuracy of the prediction algorithm needs to be a primary focus. Once it has been proven to provide an accurate (within agreed parameters) solution then additional features will be added.
Steve P.
100% (18)Projects Completed
17
Freelancers worked with
14
Projects awarded
30%
Last project
10 Feb 2024
United Kingdom
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