https://github.com/avaiga/demo-stock-visualization
A single page to visualize and predict stocks
https://github.com/avaiga/demo-stock-visualization
Last synced: 7 months ago
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A single page to visualize and predict stocks
- Host: GitHub
- URL: https://github.com/avaiga/demo-stock-visualization
- Owner: Avaiga
- License: apache-2.0
- Created: 2022-10-10T19:09:26.000Z (about 3 years ago)
- Default Branch: develop
- Last Pushed: 2024-11-15T23:41:52.000Z (11 months ago)
- Last Synced: 2024-11-16T00:23:19.526Z (11 months ago)
- Language: Python
- Size: 58.6 KB
- Stars: 43
- Watchers: 3
- Forks: 18
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# Demo Stock Visualization
## Usage
- [Usage](#usage)
- [Demo Stock Visualization](#what-is-demo-stock-visualization)
- [Directory Structure](#directory-structure)
- [License](#license)
- [Installation](#installation)
- [Contributing](#contributing)
- [Code of conduct](#code-of-conduct)
## What is Demo Stock Visualization
Taipy is a Python library for creating Business Applications. More information on our
[website](https://www.taipy.io).
[Demo Stock Visualization](https://github.com/Avaiga/demo-stock-visualization) is a stock data dashboard with interactive visual elements to visualize historical stock data, and make prediction for the stock within 1 to 5 years.
### Demo Type
- **Level**: Basic
- **Topic**: Taipy-GUI
- **Components/Controls**:
- Taipy GUI: selector, chart, toggle, expandable, table, button, partial
## How to run
This demo works with a Python version superior to 3.8. Install the dependencies of the *Pipfile* and run the *main_markdown.py*.
## Introduction
Normally, if you want to check out a stock's historical performance like the opening/closing price and trading volume, it is often the case that this is done manually through a google search. Now, using taipy GUI and the yahoo finance library, we could get these informations in just a fraction of a second, visualize it using taipy's tools, and make a dashboard that anyone can use easily.
The goal of this demo is to show how easy it is to build a data visualization dash with taipy. A fully interactive, highly customized web application that can be done in under 120 lines of python codes, is simply unheard of before, until taipy is introduced.
Regarding the predicting algorithm, we used the prophet library from Meta.
Feel free to play with the application, enter a new ticker to the list, and make the most well-informed decision with Taipy!
## Directory Structure
- `src/`: Contains the demo source code.
- `docs/`: contains the images for the documentation
- `CODE_OF_CONDUCT.md`: Code of conduct for members and contributors of _demo-stock-visualization_.
- `CONTRIBUTING.md`: Instructions to contribute to _demo-stock-visualization_.
- `INSTALLATION.md`: Instructions to install _demo-stock-visualization_.
- `LICENSE`: The Apache 2.0 License.
- `Pipfile`: File used by the Pipenv virtual environment to manage project dependencies.
- `README.md`: Current file.
## License
Copyright 2022 Avaiga Private Limited
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
[http://www.apache.org/licenses/LICENSE-2.0](https://www.apache.org/licenses/LICENSE-2.0.txt)
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
## Installation
Want to install _Demo Stock Visualization_? Check out our [`INSTALLATION.md`](INSTALLATION.md) file.
## Contributing
Want to help build _Demo Stock Visualization_? Check out our [`CONTRIBUTING.md`](CONTRIBUTING.md) file.
## Code of conduct
Want to be part of the _Demo Stock Visualization_ community? Check out our [`CODE_OF_CONDUCT.md`](CODE_OF_CONDUCT.md) file.