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
Data visualization using matplotlib

Data visualization using matplotlib project instructions Top 5 Most Common Coffee Origins In this visualization I used data from Ankur Chavda on Kaggl

13 Oct 27, 2021
Data Visualization Guide for Presentations, Reports, and Dashboards

This is a highly practical and example-based guide on visually representing data in reports and dashboards.

Anton Zhiyanov 395 Dec 29, 2022
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

AutoViz Automatically Visualize any dataset, any size with a single line of code. AutoViz performs automatic visualization of any dataset with one lin

AutoViz and Auto_ViML 1k Jan 02, 2023
MPL Plotter is a Matplotlib based Python plotting library built with the goal of delivering publication-quality plots concisely.

MPL Plotter is a Matplotlib based Python plotting library built with the goal of delivering publication-quality plots concisely.

Antonio López Rivera 162 Nov 11, 2022
Editor and Presenter for Manim Generated Content.

Editor and Presenter for Manim Generated Content. Take a look at the Working Example. More information can be found on the documentation. These Browse

Manim Community 149 Dec 29, 2022
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver

Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver, the wheel size, gear shifting sequence by modeling drivetrain constrai

Sabbella Prasanna 1 Jan 11, 2022
Python package to Create, Read, Write, Edit, and Visualize GSFLOW models

pygsflow pyGSFLOW is a python package to Create, Read, Write, Edit, and Visualize GSFLOW models API Documentation pyGSFLOW API documentation can be fo

pyGSFLOW 21 Dec 14, 2022
Generate a roam research like Network Graph view from your Notion pages.

Notion Graph View Export Notion pages to a Roam Research like graph view.

Steve Sun 214 Jan 07, 2023
Data Visualizer for Super Mario Kart (SNES)

Data Visualizer for Super Mario Kart (SNES)

MrL314 21 Nov 20, 2022
Alternative layout visualizer for ZSA Moonlander keyboard

General info This is a keyboard layout visualizer for ZSA Moonlander keyboard (because I didn't find their Oryx or their training tool particularly us

10 Jul 19, 2022
📊 Extensions for Matplotlib

📊 Extensions for Matplotlib

Nico Schlömer 519 Dec 30, 2022
GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.

Body Model Visualizer Introduction This is a simple Open3D-based GUI for SMPL-family body models. This GUI lets you play with the shape, expression, a

Muhammed Kocabas 207 Jan 01, 2023
Calendar heatmaps from Pandas time series data

Note: See MarvinT/calmap for the maintained version of the project. That is also the version that gets published to PyPI and it has received several f

Martijn Vermaat 195 Dec 22, 2022
A simple code for plotting figure, colorbar, and cropping with python

Python Plotting Tools This repository provides a python code to generate figures (e.g., curves and barcharts) that can be used in the paper to show th

Guanying Chen 134 Jan 02, 2023
649 Pokémon palettes as CSVs, with a Python lib to turn names/IDs into palettes, or MatPlotLib compatible ListedColormaps.

PokePalette 649 Pokémon, broken down into CSVs of their RGB colour palettes. Complete with a Python library to convert names or Pokédex IDs into eithe

11 Dec 05, 2022
paintable GitHub contribute table

githeart paintable github contribute table how to use: Functions key color select 1,2,3,4,5 clear c drawing mode mode on turn off e print paint matrix

Bahadır Araz 27 Nov 24, 2022
A simple Monte Carlo simulation using Python and matplotlib library

Monte Carlo python simulation Install linux dependencies sudo apt update sudo apt install build-essential \ software-properties-commo

Samuel Terra 2 Dec 13, 2021
Visualize large time-series data in plotly

plotly_resampler enables visualizing large sequential data by adding resampling functionality to Plotly figures. In this Plotly-Resampler demo over 11

PreDiCT.IDLab 604 Dec 28, 2022
A GUI for Pandas DataFrames

PandasGUI A GUI for analyzing Pandas DataFrames. Demo Installation Install latest release from PyPi: pip install pandasgui Install directly from Githu

Adam 2.8k Jan 03, 2023
The Spectral Diagram (SD) is a new tool for the comparison of time series in the frequency domain

The Spectral Diagram (SD) is a new tool for the comparison of time series in the frequency domain. The SD provides a novel way to display the coherence function, power, amplitude, phase, and skill sc

Mabel 3 Oct 10, 2022