This app is a simple example of using Strealit to create a financial data web app.

Last update: Jan 02, 2023

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Overview

Streamlit Demo: Finance Chart

This app is a simple example of using Streamlit to create a financial data web app. This demo use streamlit, pandas and yfinance modules.

Allows you to select one of the 500 companies that compose the S&P 500 and display a updated chart of adjusted closing prices, as well as add a pair of moving averages.

Requirements

Python3.6 version or superior

How to run this demo

pip install --upgrade streamlit yfinance lxml pandas
streamlit run https://raw.githubusercontent.com/paduel/streamlit_finance_chart/master/app.py

Or play online

You can test the app at https://streamlit-finance-chart.herokuapp.com/

Other financial streamlit demo

You can test another Streamlit demo with financial data at this github repo of my friend Bukosabino.

Owner

Senior Data Scientist and Quant at Imantia Capital. Python evangelist for finance.

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This app is a simple example of using Strealit to create a financial data web app.

Related tags

Overview

Streamlit Demo: Finance Chart

Requirements

How to run this demo

Or play online

Other financial streamlit demo

Owner

This repository contains part of the code used to make the images visible in the article "How does an AI Imagine the Universe?" published on Towards Data Science.

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Repo for our ICML21 paper Unsupervised Learning of Visual 3D Keypoints for Control

BEAMetrics: Benchmark to Evaluate Automatic Metrics in Natural Language Generation

LSTM model trained on a small dataset of 3000 names written in PyTorch

The official homepage of the (outdated) COCO-Stuff 10K dataset.

Code implementing "Improving Deep Learning Interpretability by Saliency Guided Training"

PyTorch for Semantic Segmentation

This repository contains code from the paper "TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network"

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

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