CS50 pset9: Using flask API to create a web application to exchange stocks' shares.

Overview

C$50 Finance

In this guide we want to implement a website via which users can “register”, “login” “buy” and “sell” stocks, like below:

Picture of dashboard

Background

If you’re not quite sure what it means to buy and sell stocks (i.e., shares of a company), head here for a tutorial.

We’re about to implement C$50 Finance, a web app via which you can manage portfolios of stocks. Not only will this tool allow us to check real stocks’ actual prices and portfolios’ values, it will also let you buy and sell stocks by querying IEX for stocks’ prices.

Indeed, IEX lets you download stock quotes via their API (application programming interface) using URLs like https://cloud.iexapis.com/stable/stock/nflx/quote?token=API_KEY.

Before getting started on this project, we’ll need to register for an API key in order to be able to query IEX’s data. To do so, follow these steps:

  • Visit iexcloud.io/cloud-login#/register/.
  • Select the “Individual” account type, then enter your email address and a password, and click “Create account”.
  • Once registered, scroll down to “Get started for free” and click “Select Start” to choose the free plan.
  • Once you’ve confirmed your account via a confirmation email, visit (https://iexcloud.io/console/tokens).
  • Copy the key that appears under the Token column (it should begin with pk_).
  • In a terminal window execute:
export API_KEY=value

where value is that (pasted) value, without any space immediately before or after the =. You also may wish to paste that value in a text document somewhere, in case you need it again later.

Install requirements

This guide wrote for Windows Terminal and if you have another OS you may change it.

Before we start, you should clone this GitHub repo and then install the dependencies.

git clone https://github.com/magnooj/CS50-finance.git
cd CS50-fincance
pip install -r requirements.txt

Through the files

Now, we are ready to run and test our project. By running ls you can see these files:

Flask API

The first step in building APIs is to think about the data we want to handle, how we want to handle it and what output we want with our APIs. In our example, we want users can register, log in, log out and buy, sell and qout stocks; Finally, see the history of their transactions.

The main HTML file in our app is layout.html. We created a template that other HTML files cand extend that.

In this example, we create Flask eight routs so that we can serve HTTP traffic on that route.

  • / or index : Is the homepage of our app. If user loged in, it display the user’s current cash balance along with a grand total (i.e., stocks’ total value plus cash). But, if user didn.t log in, it displays the login page.
  • register : It has a form that user can register by filling it.
  • buy : In this route, users can input a stock’s symbol and buy some shares.
  • sell : In this page, users can SELECT from theis stocks’ symbol and sell their shares.
  • qoute : Users can lookup the price each share in a stock’s symbol.
  • history : It displays an HTML table summarizing all of a user’s transactions ever, listing row by row each and every buy and every sell.
  • login and logout : These routes start and terminate user’s session.

Of course there is some files like apology.html that displays the error to the user. You can check other files.

Now, We cheked our files and sqw how our app is working. To run the app, when you are in CS50-finance directory, enter this command in the terminal:

flask run

I hope you enjoyed how to stocks' exchange web application using flask. if you have any comments please do not hesitate to send me an e-mail.

Regards,

Ali Ganjizadeh

Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions.

About Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions. The tool provides rich data and a summary g

9 Nov 16, 2022
Handle, manipulate, and convert data with units in Python

unyt A package for handling numpy arrays with units. Often writing code that deals with data that has units can be confusing. A function might return

The yt project 304 Jan 02, 2023
Analysiscsv.py for extracting analysis and exporting as CSV

wcc_analysis Lichess page documentation: https://lichess.org/page/world-championships Each WCC has a study, studies are fetched using: https://lichess

32 Apr 25, 2022
Single-Cell Analysis in Python. Scales to >1M cells.

Scanpy – Single-Cell Analysis in Python Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It inc

Theis Lab 1.4k Jan 05, 2023
Exploratory data analysis

Exploratory data analysis An Exploratory data analysis APP TAPIWA CHAMBOKO 🚀 About Me I'm a full stack developer experienced in deploying artificial

tapiwa chamboko 1 Nov 07, 2021
My first Python project is a simple Mad Libs program.

Python CLI Mad Libs Game My first Python project is a simple Mad Libs program. Mad Libs is a phrasal template word game created by Leonard Stern and R

Carson Johnson 1 Dec 10, 2021
A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful.

How useful is the aswer? A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful. If you want to l

1 Dec 17, 2021
Project: Netflix Data Analysis and Visualization with Python

Project: Netflix Data Analysis and Visualization with Python Table of Contents General Info Installation Demo Usage and Main Functionalities Contribut

Kathrin Hälbich 2 Feb 13, 2022
General Assembly's 2015 Data Science course in Washington, DC

DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (

Kevin Markham 1.6k Jan 07, 2023
This mini project showcase how to build and debug Apache Spark application using Python

Spark app can't be debugged using normal procedure. This mini project showcase how to build and debug Apache Spark application using Python programming language. There are also options to run Spark a

Denny Imanuel 1 Dec 29, 2021
NumPy aware dynamic Python compiler using LLVM

Numba A Just-In-Time Compiler for Numerical Functions in Python Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaco

Numba 8.2k Jan 07, 2023
Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

Sensitivity Analysis Library (SALib) Python implementations of commonly used sensitivity analysis methods. Useful in systems modeling to calculate the

SALib 663 Jan 05, 2023
A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

This tutorial's purpose is to introduce Pythonistas to methods for scaling their data science and machine learning work to larger datasets and larger models, using the tools and APIs they know and lo

Coiled 102 Nov 10, 2022
Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials

Data Scientist Learning Plan Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials

Trung-Duy Nguyen 27 Nov 01, 2022
Incubator for useful bioinformatics code, primarily in Python and R

Collection of useful code related to biological analysis. Much of this is discussed with examples at Blue collar bioinformatics. All code, images and

Brad Chapman 560 Jan 03, 2023
Spectral Analysis in Python

SPECTRUM : Spectral Analysis in Python contributions: Please join https://github.com/cokelaer/spectrum contributors: https://github.com/cokelaer/spect

Thomas Cokelaer 280 Dec 16, 2022
Full ELT process on GCP environment.

Rent Houses Germany - GCP Pipeline Project: The goal of the project is to extract data about house rentals in Germany, store, process and analyze it u

Felipe Demenech Vasconcelos 2 Jan 20, 2022
Python utility to extract differences between two pandas dataframes.

Python utility to extract differences between two pandas dataframes.

Jaime Valero 8 Jan 07, 2023
Data cleaning tools for Business analysis

Datacleaning datacleaning tools for Business analysis This program is made for Vicky's work. You can use it, too. 数据清洗 该数据清洗工具是为了商业分析 这个程序是为了Vicky的工作而

Lin Jian 3 Nov 16, 2021
Stock Analysis dashboard Using Streamlit and Python

StDashApp Stock Analysis Dashboard Using Streamlit and Python If you found the content useful and want to support my work, you can buy me a coffee! Th

StreamAlpha 27 Dec 09, 2022