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AI-Driven Negotiation Platform for Automated Financial Trading

blackthorn-vision

Financial services

Challenges in Manual Trading Negotiations

Existing manual trading negotiation processes create operational inefficiencies, increase human error risk, and limit anonymity for parties involved in stock and currency transactions.

About the Client

Fintech startup connecting global companies with financial markets through AI-powered trading automation

Key Project Goals

Automate negotiation workflows using AI agents
Enable anonymous trading operations at scale
Integrate real-time market data from trusted sources
Implement smart contract execution framework
Ensure compliance with financial regulations

Core System Capabilities

AI-driven automated negotiation agents
Anonymous bid/quote management system
Real-time Bloomberg market data integration
Smart contract signing interface
Counterparty discovery with recommendation engine
Trade history analytics dashboard
Multi-tenancy for legal entity participation

Technology Stack Requirements

ASP.NET Web API

Azure Active Directory

Azure WebJobs

Azure ServiceBus

Azure Blob Storage

Azure SQL Database

React frontend

External System Integrations

Bloomberg API for market data
Azure Data Factory for data pipelines
Digital identity verification services
Blockchain smart contract platform

System Quality Attributes

High-frequency trading performance (sub-second responses)
Military-grade data encryption
Horizontal scalability for 100k+ concurrent negotiations
99.99% system availability SLA
Regulatory compliance auditing framework

Business Value Projections

Enables simultaneous execution of thousands of trading negotiations with reduced operational costs, improves pricing discovery through AI optimization, and creates network effects by connecting global market participants while maintaining transactional anonymity.