This is a web application to visualize various famous technical indicators and stocks tickers from user

Overview

Visualizing Technical Indicators Using Python and Plotly.

Currently facing issues hosting the application on heroku. As soon as I am able to I'll like the live application here. Until then please check the demo below.

Please refer to the demo video below to understand how it works. (No audio available for the damo)

Demo VIDEO

This is version 1 of the web applicaiton

About the Web app.

With this web applicaiton I aim to provide a free open source method for people to visualize and understand various technical indicators. People can use this applicaiton to select various technical indicators and then visualize and interact with them. This can help new financial engineers get a better understanding of how various parameters of a technical indicator will affect the way we execute trades. It uses the technical analysis library available for python and Plotly's interactive visualization tools to provide the user with a dynamically changing and interactive tool.

Since this is just version 1 of the application I am yet to fix a lot of bugs and improve on it. So do bear with some of the little nuances. In case you would like to send any suggestions please email me at [email protected].

Some features

  1. Interactive visualization
  2. Dynamically changing environment
  3. Users can look up the indicator with the link provided
  4. Any stock across yahoo finance is available

Tutorial on how to use the application.

To use this one must follow the steps below

  1. Open the web applicaiton in your browser
  2. Open Yahoo finance and search for the stock for which you wish to plot the indicator for
  3. Copy the ticker value for the stock from Yahoo FInance
  4. Paste it in the input box of the applicaiton
  5. Select the indicator.
  6. Select the date range and other input parameters based on the indicator
  7. In case you would like to learn more about the indicator click on the link that says "TO learn more about current indicator please click here"

For any suggestions please email me.

Indicators as of Version 1 of the web application.

1. Accumulation/Distribution Index
2. Aroon Indicator
3. Average Directional index
4. Average True Range (ATR)
5. Awesome Oscillator
6. Bollinger Bands (std - 2)
7. Chaikin Money Flow (CMF)
8. Cummilative Return
9. Daily Return
10. Donchian Channel Bands
11. Ease of Movement
12. Exponential Moving Average
13. Ichimoku Kinkō Hyō (Ichimoku)
14. Kaufman’s Adaptive Moving Average', 'value': 'KAMA'},
15. Kelter Channel Index
16. Money Flow index
17. MACD
18. Negative Volume Index Indicator
19. Percentage Price Oscillator
20. Percentage Volume Oscillator
21. Rate of Change
22. Relative Strength Index (RSI)
23. Simple Moving Average
24. Ulcer Index
25. Volume Weighted Average Price
26. Weighted Moving Average

This web application is made for academic purposes only

Owner
I am currently a Senior at SSN College of Engineering My interests lie in Data Analysis and Computational Finance and I wish to pursue a career in the same
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Péter Ferenc Gyarmati 1 Jan 17, 2022
LinkedIn connections analyzer

LinkedIn Connections Analyzer 🔗 https://linkedin-analzyer.herokuapp.com Hey hey 👋 , welcome to my LinkedIn connections analyzer. I recently found ou

Okkar Min 5 Sep 13, 2022
Simple plotting for Python. Python wrapper for D3xter - render charts in the browser with simple Python syntax.

PyDexter Simple plotting for Python. Python wrapper for D3xter - render charts in the browser with simple Python syntax. Setup $ pip install PyDexter

D3xter 31 Mar 06, 2021
Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne

Jonas Grebe 6 Nov 22, 2022
Python package for hypergraph analysis and visualization.

The HyperNetX library provides classes and methods for the analysis and visualization of complex network data. HyperNetX uses data structures designed to represent set systems containing nested data

Pacific Northwest National Laboratory 304 Dec 27, 2022
With Holoviews, your data visualizes itself.

HoloViews Stop plotting your data - annotate your data and let it visualize itself. HoloViews is an open-source Python library designed to make data a

HoloViz 2.3k Jan 04, 2023
Ana's Portfolio

Ana's Portfolio ✌️ Welcome to my Portfolio! You will find here different Projects I have worked on (from scratch) 💪 Projects 💻 1️⃣ Hangman game (Mad

Ana Katherine Cortes Sobrino 9 Mar 15, 2022
Because trello only have payed options to generate a RunUp chart, this solves that!

Trello Runup Chart Generator The basic concept of the project is that Corello is pay-to-use and want to use Trello To-Do/Doing/Done automation with gi

Rômulo Schiavon 1 Dec 21, 2021
A Python Library for Self Organizing Map (SOM)

SOMPY A Python Library for Self Organizing Map (SOM) As much as possible, the structure of SOM is similar to somtoolbox in Matlab. It has the followin

Vahid Moosavi 497 Dec 29, 2022
Schema validation just got Pythonic

Schema validation just got Pythonic schema is a library for validating Python data structures, such as those obtained from config-files, forms, extern

Vladimir Keleshev 2.7k Jan 06, 2023
Simple Python interface for Graphviz

Simple Python interface for Graphviz

Sebastian Bank 1.3k Dec 26, 2022
Create Badges with stats of Scratch User, Project and Studio. Use those badges in Github readmes, etc.

Scratch-Stats-Badge Create customized Badges with stats of Scratch User, Studio or Project. Use those badges in Github readmes, etc. Examples Document

Siddhesh Chavan 5 Aug 28, 2022
Log visualizer for whirl-framework

Lumberjack Log visualizer for whirl-framework Установка pip install -r requirements.txt Как пользоваться python3 lumberjack.py -l путь до лога -o

Vladimir Malinovskii 2 Dec 19, 2022
Python package for the analysis and visualisation of finite-difference fields.

discretisedfield Marijan Beg1,2, Martin Lang2, Samuel Holt3, Ryan A. Pepper4, Hans Fangohr2,5,6 1 Department of Earth Science and Engineering, Imperia

ubermag 12 Dec 14, 2022
Bokeh Plotting Backend for Pandas and GeoPandas

Pandas-Bokeh provides a Bokeh plotting backend for Pandas, GeoPandas and Pyspark DataFrames, similar to the already existing Visualization feature of

Patrik Hlobil 822 Jan 07, 2023
Plot-configurations for scientific publications, purely based on matplotlib

TUEplots Plot-configurations for scientific publications, purely based on matplotlib. Usage Please have a look at the examples in the example/ directo

Nicholas Krämer 487 Jan 08, 2023
WebApp served by OAK PoE device to visualize various streams, metadata and AI results

DepthAI PoE WebApp | Bootstrap 4 & Vue.js SPA Dashboard Based on dashmin (https:

Luxonis 6 Apr 09, 2022
Python library that makes it easy for data scientists to create charts.

Chartify Chartify is a Python library that makes it easy for data scientists to create charts. Why use Chartify? Consistent input data format: Spend l

Spotify 3.2k Jan 01, 2023
basemap - Plot on map projections (with coastlines and political boundaries) using matplotlib.

Basemap Plot on map projections (with coastlines and political boundaries) using matplotlib. ⚠️ Warning: this package is being deprecated in favour of

Matplotlib Developers 706 Dec 28, 2022
Rick and Morty Data Visualization with python

Rick and Morty Data Visualization For this project I looked at data for the TV show Rick and Morty Number of Episodes at a Certain Location Here is th

7 Aug 29, 2022