Creation of an API server for integration with a trading bot
11 USD Task: Creating an API server for integration with a trading bot
Project Description:
An API server needs to be set up that will interact with our trading bot on MetaTrader 5 (MT5). The server should accept requests from the bot, process them, and return the analysis results.
Main Tasks:
Setting up Google Cloud Platform (GCP):
- Create a new project on GCP.
- Set up the necessary services (Cloud Run, Container Registry).
Containerization of Flask Application:
- Create a
Dockerfilefor the Flask API application. - Build the Docker image and upload it to Google Container Registry (GCR).
- Create a
Deployment on Cloud Run:
- Deploy the container on Cloud Run.
- Configure automatic scaling and service availability.
Security and Authentication:
- Implement authentication using API keys.
- Set up environment variables for storing confidential data (API keys will be provided separately).
Testing and Documentation:
- Check the functionality of the API server.
- Provide brief documentation describing the main routes and usage instructions.
Technical Requirements:
- Programming Language: Python 3.7+
- Framework: Flask
- Containerization: Docker
- Hosting: Google Cloud Platform (Cloud Run)
- Tools: Google Cloud SDK, Gunicorn
- Libraries: Flask, Gunicorn (other dependencies in
requirements.txt)
Expected Results:
Functional API server:
- Accepts and processes requests from the trading bot.
- Returns analysis results in JSON format.
Deployed Service on Cloud Run:
- Accessible via HTTPS URL.
- Secured with API keys.
Brief Documentation:
- Description of main routes and examples of requests.
-
7 days178 USD
230 7 days178 USD
Good day! I have experience in API development. Write to discuss the details.
-
7 days201 USD
449 3 1 1 7 days201 USD
I propose to implement an API server for integration with a trading bot on MetaTrader 5 using Google Cloud Platform (GCP) and Flask.
Implementation plan:
1. GCP setup:
Creating a project on GCP.
Activating Cloud Run and Container Registry services.
Configuring access through Google Cloud SDK.
2. Containerization of the Flask application:
Developing a Flask API with routes for handling requests (e.g., /analyze, /status).
… Writing a Dockerfile for containerizing the application.
Building the Docker image and uploading it to Google Container Registry (GCR).
3. Deployment on Cloud Run:
Deploying the container on Cloud Run:
Availability via HTTPS.
Configuring automatic scaling.
4. Security:
Implementing authentication via API keys.
Storing sensitive data in GCP environment variables.
5. Testing and documentation:
Testing the API server through test requests.
Preparing documentation with route descriptions, request examples, and instructions.
Result:
Deployed API server on Cloud Run.
Accepts requests from the MT5 bot and returns results in JSON format.
Secured access via API keys.
Documentation for integration and usage.
Ready to discuss details and start implementation. Write for clarification!
-
1 day178 USD
1970 25 1 1 day178 USD
Hello, I am working on API development. I can develop the necessary API, but we need to understand its functionality. Shall we chat in private?
-
7 days178 USD
1118 10 0 7 days178 USD
Good day!
I am ready to implement it in Python.
Write to me, we will discuss the details and get started!
Best regards, Andriy!
-
7 days178 USD
95644 1272 1 10 7 days178 USD
Hello. I have experience with Flask. Can I see the specifications for the functionality in the routes?
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