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Case study · Quant / AI Trading Platform

Trading OS — AI Trading Platform

A self-hosted AI trading platform built around a multi-agent pipeline, with integrations across eight brokers and exchanges and a deterministic risk gate before execution.

Screenshot of Trading OS
Project type
Custom trading platform engineering
Status
Confidential Engagement — Private client platform
Ownership
Client-owned platform. The client's name is confidential.
Attribution
Engineered by ORVINUS TECHNOLOGIES LLP under a development contract.
The engagement

Problem, Approach, Contribution

Business problem

The client needed one platform unifying AI-generated signals, risk management, backtesting and execution across stocks, crypto, forex and prediction markets.

Engineering approach

ORVINUS designed a 13-agent pipeline in which every signal is stress-tested with a 1,000-path Monte Carlo simulation and must pass a deterministic risk gate before an order is placed. The platform is event-driven, with a React dashboard, Telegram and Discord bots, and walk-forward backtesting.

ORVINUS contribution

System architecture, the multi-agent pipeline, broker integrations, the risk gate, backtesting and the dashboard.

Capabilities

Key Capabilities

  • 13-agent AI pipeline
  • Monte Carlo signal validation
  • Deterministic risk gate
  • Walk-forward backtesting
  • Multi-broker execution
  • Dashboard and chat-bot control

Integrations

  • Binance
  • MetaTrader 5
  • Alpaca
  • Tradier
  • Charles Schwab
  • Interactive Brokers
  • Polymarket
  • Kalshi

Technology

  • React
  • Event-driven services
  • Broker and exchange APIs
  • Telegram & Discord bots
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