Elegant and for real stock predictions App with Tensorflow.js

Introduction

Predictions made on Amazon stock market (fresh data until 2022-02-03) with Tensorflow.js.

Check out this app in live stockmarketpredictiocvxl0lfn-smpfront.functions.fnc.fr-par.scw.cloud

Table of contents

• Motivations
• Getting started
  • Start in dev mode
  • Start in production mode
    • With Node.js
    • With Docker
• Must know about the app
  • Continuous Integration and Continuous Delivery
• Notes

Motivations

Just wanna spend my time using Tensorflow.js :) Data come from the free API alphavantage.co

Getting started

Clone the repo

git clone https://github.com/tomtom94/stockmarketpredictions.git

cd stockmarketpredictions

Start in dev mode

npm install

Run dev mode with

npm run dev

it's gonna start an hot dev middleware with an express server ;) ready to work http://localhost:3000

Start in production mode

With Node.js

npm install

Run build mode with

npm run build

it's gonna build in dist/

Then run in production mode

npm run start

;) it's gonna start the only one SSR express server out of the box for internet http://localhost:3000 or environment port used.

With Docker

docker build -t stockmarketpredictions .

docker run -p 80:80 stockmarketpredictions

Then open http://localhost:80

Must know about the app

You better use a good search engine like Qwant.com, don't use Google. please.

Continuous Integration and Continuous Delivery

When pushing or merging on master branch, you can trigger Github Actions with a commit message that includes #major, #minor or #patch.

Example of commit message in order to start a deployment :

git commit -m "#major this is a big commit"

git commit -m "#patch this is a tiny commit"

Notes

If ever you wanna brainstorm, download my resume you are gonna find my phone number

• thomasdeveloper-react.com