Algorithmic System Development by Lakshit .

Algorithmic System Development by Lakshit .Algorithmic System Development by Lakshit .

Algorithmic System Development

Lakshit .

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About this service

Summary

Service Description: I offer specialized services in the design, development, deployment, and maintenance of Algorithmic Trading Systems using Python, C++, Redis, MongoDB, GitHub, and AWS Lambda. My aim is to provide clients with highly efficient, secure, and robust trading solutions tailored to their specific requirements. Here's an overview of the scope of this project:

Scope of the Project:

1. Project Initiation:

Initial consultation to understand your trading objectives, risk tolerance, and strategy requirements.

Collaboratively define the project scope, including the trading strategies, asset classes, and markets to be targeted.

Develop a project proposal outlining objectives, timelines, and budget considerations.

2. System Design and Architecture:

Create detailed system architecture diagrams and design documents.

Discuss technology stack choices, ensuring they align with your trading goals and scalability needs.

Plan for data storage, security, and real-time data processing.

3. Algorithmic Trading Development:

Design, develop, and document the algorithmic trading strategies based on your objectives.

Implement trading logic in Python and C++, focusing on optimization and efficiency.

Integrate real-time data feeds and market data sources for strategy execution.

4. Source Code Repository on GitHub:

Provide access to a private GitHub repository containing the source code for the trading system.

Implement version control best practices and branching strategies for code management.

5. Backend Development:

Develop server-side components to execute trading strategies.

Utilize Redis for caching and real-time data processing.

Implement data storage and retrieval using MongoDB for historical and real-time data.

6. AWS Lambda Deployment:

Configure and deploy the trading system on AWS Lambda for scalability and reliability.

Provide guidelines for serverless architecture setup and deployment scripts.

7. Integration with External APIs:

Document how the trading system interacts with external APIs, such as data providers and trading platforms.

Ensure secure API key management and encryption practices.

8. Testing and Quality Assurance:

Conduct rigorous unit testing, integration testing, and backtesting of trading strategies.

Document test cases and report results, emphasizing system reliability and accuracy.

9. Monitoring and Reporting:

Set up monitoring mechanisms to track trading system performance, errors, and trading activity.

Implement reporting tools for tracking trading results and strategy effectiveness.

10. Security and Compliance:- Implement robust security measures to protect sensitive trading data.- Ensure compliance with relevant financial regulations and data privacy standards.

11. Documentation and User Guides:- Prepare comprehensive documentation explaining system functionality, configuration, and operation.- Develop user guides for traders or administrators.

12. Maintenance and Support:- Define post-launch maintenance procedures, including bug-fixing, updates, and enhancements.- Offer ongoing support and service level agreements (SLAs).

13. Legal and Compliance Documentation (if applicable):- Assist with the creation of any necessary legal agreements, licenses, or compliance documentation.

14. Training (if required):- Provide training sessions or materials for users or administrators operating the trading system.

15. Project Closure Documentation:- Deliver a final project report summarizing outcomes, challenges, and recommendations for future improvements.

Guidelines for Working Together:

Clear and Ongoing Communication: Maintain open and transparent communication channels to discuss project progress, changes, and any potential challenges.

Feedback and Collaboration: Encourage client feedback and collaboration to ensure the project aligns with your evolving trading goals and strategies.

Flexibility: Be open to adjustments in the project scope or strategy implementations to accommodate changing market conditions or trading objectives.

Data Security: Ensure that all trading data and sensitive information are handled securely and in compliance with relevant financial regulations.

Timely Payments: Adhere to agreed-upon payment schedules outlined in the project proposal.

By following these guidelines and working collaboratively, we can achieve the successful development and deployment of your Algorithmic Trading System, helping you achieve your trading objectives while maintaining the highest standards of security and performance.

What's included

System Architecture and Design
Detailed system architecture diagrams and design documents illustrating the structure and components of the trading system. Database schemas and design documentation for MongoDB. Explanation of how Python, C++, Redis, and other technologies are integrated into the system's architecture.
Algorithmic Trading Logic
Documentation and code for the algorithmic trading strategies employed by the system. This includes detailed explanations of the trading logic and rules.
Source Code Repository on GitHub
Access to the GitHub repository containing the source code for the trading system. Proper version control practices and branching strategies for code management.
Backend Development
Server-side code developed in Python and C++ for implementing trading algorithms and strategies. Integration with Redis for caching and real-time data processing. Implementation of data storage and retrieval using MongoDB.
AWS Lambda Deployment
Guidelines for deploying the trading system on AWS Lambda, including serverless architecture setup. Configuration files and deployment scripts.
Integration with External APIs
Documentation on how the trading system interacts with external APIs, such as financial data providers or trading platforms. API key management and security considerations.
Data Management
Strategies for data collection, storage, and analysis, including how Redis and MongoDB are used for data processing and storage. Guidelines for managing historical and real-time market data.
Testing and Quality Assurance
Unit testing and integration testing documentation. Results of test cases, highlighting the system's reliability and accuracy.

Example projects

DYDX Pairs Trading Bot

Skills and tools

Backend Engineer

Fullstack Engineer

Script Writer

C++

GitHub

MongoDB

Python

Redis

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