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proyecto-fin-grado-61iw's Introduction

AI-nance: Stocks Prediction

Final thesis diploma for the Software Engineering Degree of the Universidad Politecnica de Madrid.

Overview

The goal is to build an entire infrastructure using a micro-services pattern, focusing on automation and deployment, to serve NASDAQ stock prices predictions.

Architecture

Architecture

How to run

Tensorflow Server

You need to export the environment variable $MODELPATH in order for Tensorflow Server to be able to find the prediction model. Tensorflow Server will automatically pick the models from /predictionModule/mlp_model, save your models there to be able to access them.

export MODELPATH="/repo-location/predictionModule"

Docker Compose

After installing Docker and Docker compose, you can run the compose command in the same location as the docker-compose.yml file.

docker-compose up

Once all the containers are up and running you can request price predictions by specifiying the desired company ticker.

localhost:8000/predition/<str>:ticker

proyecto-fin-grado-61iw's People

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proyecto-fin-grado-61iw's Issues

MIcroservicio Procesamiento Datos

  • Conectar con la API de datos financieros.
  • Comunicacion via socket cliente servidor
  • Verificar el simbolo que se pasa como parametro de la request
  • Concurrencia del servidor
  • Pipeline de procesamiento de datos.

To Do:

  • Verificar concurrencia y uso de threads

Vistas API

Creacion y gestion de las vistas para los diferentes endpoints de la API.

  • Elegir entre vistas basadas en funciones, clases o viewsets.
  • Implementar las vistas y metodos HTTP.
  • Conectar las vistas a las URL's

Contenerizar microservicios

  • API gateway
  • Processing pipeline
  • Predictions module
  • Docker compose
  • Automatizar workflow build and push image a docker hub
  • Conexion entre api gateway y microservicio modelo lstm.

Backend API

Gestionar el backend para dar soporte a las request y responses de la API.

  • Formato request
  • Congiguracion base URL's.
  • Comunicacion socket microservicios
  • Modelos.
  • Serializers.
  • Vista y operaciones

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