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Development of Next-Generation AI-Driven Trading Platform
  1. case
  2. Development of Next-Generation AI-Driven Trading Platform

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Development of Next-Generation AI-Driven Trading Platform

syberry.com
Financial services

Challenges with Legacy Trading Operations

The client's existing trading operations are facing challenges in terms of efficiency, speed, risk management, and client communication. Manual processes and disparate systems are hindering their ability to capitalize on market opportunities and meet evolving regulatory requirements. The need for real-time data analysis, automated workflows, and unified communication is critical for maintaining a competitive edge.

About the Client

An international leader in financial technology offering solutions for investing, corporate governance, and financial communications, serving a wide range of clients with advanced platforms for regulatory compliance, trade lifecycle automation, and wealth management.

Project Goals

  • Develop a next-generation, AI-driven trading platform to centralize and streamline trading operations.
  • Improve trading efficiency and speed through automation and intelligent insights.
  • Enhance risk management capabilities with real-time exposure assessment and mitigation strategies.
  • Unify client communication across multiple channels.
  • Increase trading volume and revenue.
  • Provide users with actionable market insights and personalized recommendations.

System Functionality

  • AI-powered trading assistant with chatbot capabilities
  • Real-time investment dashboard with customizable alerts
  • Integrated auction system for buy/sell orders
  • Risk management tools for exposure assessment and mitigation
  • Automated order execution and payment processing
  • Omnichannel communication module

Technology Stack

Java
Python
JavaScript
Spring
Jooq
Flyway
Tornado
SQLAlchemy
Pandas
PostgreSQL
AWS
Splunk Cloud
Datadog
OpenAI
Typescript
React
Redux
RxJS
OpenFin

External System Integrations

  • Market data providers
  • Payment gateways
  • Compliance systems
  • Existing client communication platforms

Non-Functional Requirements

  • High scalability to handle 10T securities traded daily
  • High performance and low latency for real-time trading
  • Robust security measures to protect sensitive financial data
  • Reliability and availability to ensure continuous operation
  • Compliance with relevant financial regulations

Expected Business Impact

The implementation of this platform is expected to result in a significant increase in trading efficiency, improved risk management, enhanced client satisfaction, and a substantial boost to revenue. The case study indicates a +22% stock price increase and $10T in daily securities traded, with $1.5B in yearly revenue, demonstrating the potential for a large return on investment. The platform will empower the client to capitalize on market opportunities faster and more effectively, solidifying their position as a leader in the FinTech industry.

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