tcc's Introduction

Trabalho de Conclusão de Curso: Tecnologia em Análise e Desenvolvimento de Sistemas Instituto Federal de Educação, Ciência e Tecnologia de São Paulo – IFSP - Câmpus Guarulhos

Título: ANÁLISE DE Exchange-Traded Fund NO MERCADO BRASILEIRO COM Machine Learning (Artificial Intelligence for ETF Market Prediction)

Aluna: Cássia Chin Bo Hing Orientador: Prof. Rodrigo Campos Bortoletto

https://share.streamlit.io/cassiahh/tcc/main/main.py

TCC

LSTM WebApp for ETF

Project Organization

├── LICENSE
│
├── README.md          <- The top-level README for developers using this project.
├── data
│   └── raw            <- The original, immutable data dump.
│
├── notebook           <- Jupyter notebook. 
│   └── Código_de_Pré_Projeto_de_TCC.ipynb 
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`
│
├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
│   │
│   ├── template       <- Scripts of webpage layout
│   │   └── layout.py
│   │
│   ├── models         <- Scripts to download raw data, to turn raw data into features for modeling,  
│   │   │                 and to train models and then use trained models to make predictions
│   │   └── predictor.py
│   │
│   └── visualization  <- Scripts to create exploratory and results oriented visualizations
│       └── graph.py
│
└── .streamlit         <- Advanced configuration. Change the behavior of Streamlit 
    └── config.toml

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