STOCK: A system for user-friendly stock price prediction and sentiment analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10417158" target="_blank" >RIV/00216208:11320/20:10417158 - isvavai.cz</a>
Result on the web
<a href="https://github.com/Rinqt/stock" target="_blank" >https://github.com/Rinqt/stock</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
STOCK: A system for user-friendly stock price prediction and sentiment analysis
Original language description
STOCK is a tool where users can gain more insight on the stock market and how their favorite companies are positioned in it. The main features it provides are: sentiment analyzed articles using Vader, company profile with historical data and predicted prices using Recurrent Neural Network, and building Machine Learning models for price prediction with full customizability.
Czech name
—
Czech description
—
Classification
Type
R - Software
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
Socneto 1.0
Technical parameters
SW projekt obhájený 7.4. 2020.
Economical parameters
Volně dostupný SW
Owner IČO
00216208
Owner name
Univerzita Karlova