Automated Exploration Data Analysis on a financial dataset

Overview

Automated EDA on financial dataset

Just a simple way to get automated Exploration Data Analysis from financial dataset (OHLCV) using Streamlit and ta.

To use this library you need a financial time series dataset including Timestamp, Open, High, Low, Close and Volume columns.

Requirements

  • python3.7 version

Run

pip install streamlit==0.48.1 ta==0.4.5
streamlit run https://raw.githubusercontent.com/bukosabino/streamlit-demo-financial-eda/master/app.py

TODO

  • Heatmap: Visualize the correlation coefficient in between ta features.
  • Web application user can load a .csv file

Extra

Are you interested in more Streamlit demos related to financial data?

Contact

Developed by Darío López Padial (Bukosabino).

Please, let me know about any comment or feedback.

Owner
Darío López Padial
Join us now and share the software. You'll be free.
Darío López Padial
sportsdataverse python package

sportsdataverse-py See CHANGELOG.md for details. The goal of sportsdataverse-py is to provide the community with a python package for working with spo

Saiem Gilani 37 Dec 27, 2022
Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which he recommends to buy. We will use this data to build a portfolio

Backtesting the "Cramer Effect" & Recommendations from Cramer Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which

Gábor Vecsei 12 Aug 30, 2022
Open source platform for Data Science Management automation

Hydrosphere examples This repo contains demo scenarios and pre-trained models to show Hydrosphere capabilities. Data and artifacts management Some mod

hydrosphere.io 6 Aug 10, 2021
Repository created with LinkedIn profile analysis project done

EN/en Repository created with LinkedIn profile analysis project done. The datase

Mayara Canaver 4 Aug 06, 2022
CubingB is a timer/analyzer for speedsolving Rubik's cubes, with smart cube support

CubingB is a timer/analyzer for speedsolving Rubik's cubes (and related puzzles). It focuses on supporting "smart cubes" (i.e. bluetooth cubes) for recording the exact moves of a solve in real time.

Zach Wegner 5 Sep 18, 2022
This repository contains some analysis of possible nerdle answers

Nerdle Analysis https://nerdlegame.com/ This repository contains some analysis of possible nerdle answers. Here's a quick overview: nerdle.py contains

0 Dec 16, 2022
Extract data from a wide range of Internet sources into a pandas DataFrame.

pandas-datareader Up to date remote data access for pandas, works for multiple versions of pandas. Installation Install using pip pip install pandas-d

Python for Data 2.5k Jan 09, 2023
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

Stock Statistics/Indicators Calculation Helper VERSION: 0.3.2 Introduction Supply a wrapper StockDataFrame based on the pandas.DataFrame with inline s

Cedric Zhuang 1.1k Dec 28, 2022
Describing statistical models in Python using symbolic formulas

Patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design mat

Python for Data 866 Dec 16, 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated

37 Dec 15, 2022
small package with utility functions for analyzing (fly) calcium imaging data

fly2p Tools for analyzing two-photon (2p) imaging data collected with Vidrio Scanimage software and micromanger. Loading scanimage data relies on scan

Hannah Haberkern 3 Dec 14, 2022
Detailed analysis on fraud claims in insurance companies, gives you information as to why huge loss take place in insurance companies

Insurance-Fraud-Claims Detailed analysis on fraud claims in insurance companies, gives you information as to why huge loss take place in insurance com

1 Jan 27, 2022
TextDescriptives - A Python library for calculating a large variety of statistics from text

A Python library for calculating a large variety of statistics from text(s) using spaCy v.3 pipeline components and extensions. TextDescriptives can be used to calculate several descriptive statistic

150 Dec 30, 2022
A Python adaption of Augur to prioritize cell types in perturbation analysis.

A Python adaption of Augur to prioritize cell types in perturbation analysis.

Theis Lab 2 Mar 29, 2022
BAyesian Model-Building Interface (Bambi) in Python.

Bambi BAyesian Model-Building Interface in Python Overview Bambi is a high-level Bayesian model-building interface written in Python. It's built on to

861 Dec 29, 2022
A set of tools to analyse the output from TraDIS analyses

QuaTradis (Quadram TraDis) A set of tools to analyse the output from TraDIS analyses Contents Introduction Installation Required dependencies Bioconda

Quadram Institute Bioscience 2 Feb 16, 2022
Codes for the collection and predictive processing of bitcoin from the API of coinmarketcap

Codes for the collection and predictive processing of bitcoin from the API of coinmarketcap

Teo Calvo 5 Apr 26, 2022
Additional tools for particle accelerator data analysis and machine information

PyLHC Tools This package is a collection of useful scripts and tools for the Optics Measurements and Corrections group (OMC) at CERN. Documentation Au

PyLHC 3 Apr 13, 2022
Statsmodels: statistical modeling and econometrics in Python

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

statsmodels 8k Dec 29, 2022