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https://github.com/analitico-771/forecasting_mercado_libre
This is an application that can be used to analyze company's financial and user data in clever ways to identify areas to improve and help the company grow. So, you want to find out if the ability to predict search traffic can translate into the ability to successfully trade the stock
https://github.com/analitico-771/forecasting_mercado_libre
artificial-intelligence fbprophet financial-analysis fintech hvplot machine-learning pandas-dataframe python quantitative-finance sentimental-analysis stock-price-prediction trend-analysis
Last synced: about 1 month ago
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This is an application that can be used to analyze company's financial and user data in clever ways to identify areas to improve and help the company grow. So, you want to find out if the ability to predict search traffic can translate into the ability to successfully trade the stock
- Host: GitHub
- URL: https://github.com/analitico-771/forecasting_mercado_libre
- Owner: Analitico-771
- Created: 2022-03-20T19:28:19.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-03-20T20:09:07.000Z (almost 3 years ago)
- Last Synced: 2024-11-09T06:25:47.598Z (3 months ago)
- Topics: artificial-intelligence, fbprophet, financial-analysis, fintech, hvplot, machine-learning, pandas-dataframe, python, quantitative-finance, sentimental-analysis, stock-price-prediction, trend-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 14.5 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[![Contributors][contributors-shield]][contributors-url]
[![Forks][forks-shield]][forks-url]
[![Stargazers][stars-shield]][stars-url]
[![Issues][issues-shield]][issues-url]
[![LinkedIn][linkedin-shield]][linkedin-url]
Table of Contents
## About The Project
* There's and issue with rendering on GitHub - use the link below to see the project
* http://nbviewer.org/github/AnaIitico/forecasting_mercado_libre/blob/main/forecasting_net_prophet.ipynb
This is an application that can be used to analyze company's financial and user data in clever ways to identify areas to improve and help the company grow. So, you want to find out if the ability to predict search traffic can translate into the ability to successfully trade the stock.
### Built With
* [Python](https://www.python.org/)
* [Python CSV Reading/Writing](https://docs.python.org/3/library/csv.html)
* [Python pandas](https://pandas.pydata.org/)
* [Python hvplot.pandas](https://hvplot.holoviz.org/index.html)
* [Python conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html)
* [Python JupyterLab](https://jupyter.org/)
## Getting Started
* Install and import the required libraries and dependencies ONLY as needed!
* This is an Advanced step and you should only install fbprophet locally if you understand devops, otherwise please change the code to use google.colab to load the files and run the app. The fbprophet install only runs on python version 3.8 and below.
* You don't need Python installed in your computer. You can install Anaconda and JupyterLab normally just like any other application on your computer. Follow the instructions for Anaconda, ensure that its working, then install JupyterLab.
* I have placed Comments throughout the code so that you can follow the code and be able to replicate the app on your own. Also, so that you're able to contribute in the future :-)
### Prerequisites
A text editor such as [VS Code](https://code.visualstudio.com/) or [Sublime Text](https://www.sublimetext.com/)
### Installation
1. Clone the repo
```sh
git clone https://github.com/AnaIitico/forecasting_mercado_libre.git
```
2. You don't need to install pip - Conda comes with pip and you can also use the command
conda install 'package name'
3. Install Conda according to the instructions based on your operating system.
For windows users you MUST use the Administrator PowerShell. Users with AMD Processors MUST use the Administrator PowerShell 7 (X64) version
Once installed Conda has an Admin PowerShell version shortcut - look on your Start menu for it.
This shortcut will prove very useful at times when you need to install other apps or make adjustments to your installation
Once installed you will see (base) on your terminal
4. Activate Conda Dev environment
```sh
conda activate dev
```
You should now see (dev) on your terminal
5. Install JupyterLabs
```sh
pip install jupyterlab
```
6. Run JupyterLabs
```sh
jupyter lab
```
A browser window should open on localhost:8888/lab
## Usage
## Roadmap
The app is finished
See the [open issues](https://github.com/AnaIitico/forecasting_mercado_libre/issues) for a list of proposed features (and known issues).
## Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
## Contact
Jose Tollinchi - [@josetollinchi][linkedin-url] - [email protected]
Project Link: [https://github.com/AnaIitico/forecasting_mercado_libre](https://github.com/AnaIitico/forecasting_mercado_libre)
## Acknowledgements
Other Dependencies used to build the project.
##### Search google for the correct conda install command
* numpy
* fbprophet
* holoviews
* pystan
* [Img Shields](https://shields.io)
* [Choose an Open Source License](https://choosealicense.com)
[contributors-shield]: https://img.shields.io/github/contributors/AnaIitico/forecasting_mercado_libre.svg?style=for-the-badge
[contributors-url]: https://github.com/AnaIitico/forecasting_mercado_libre/graphs/contributors
[forks-shield]: https://img.shields.io/github/forks/AnaIitico/forecasting_mercado_libre.svg?style=for-the-badge
[forks-url]: https://github.com/AnaIitico/forecasting_mercado_libre/network/members
[stars-shield]: https://img.shields.io/github/stars/AnaIitico/forecasting_mercado_libre.svg?style=for-the-badge
[stars-url]: https://github.com/AnaIitico/forecasting_mercado_libre/stargazers
[issues-shield]: https://img.shields.io/github/issues/AnaIitico/forecasting_mercado_libre/network/members?style=for-the-badge
[issues-url]: https://github.com/AnaIitico/forecasting_mercado_libre/issues
[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge&logo=linkedin&colorB=555
[linkedin-url]: https://www.linkedin.com/in/josetollinchi/