VIREXAN

Financial Dashboard & Analytics Interfaces

Manage your algorithmic fleet from a centralized command center. We build secure, real-time web dashboards using modern stacks (React, Vue, FastAPI) to monitor distributed trading nodes and portfolio risk.

Discuss Your Dashboard

Institutional Visibility

Because trading blind is trading recklessly.

The Problem

As algorithmic operations scale, monitoring becomes a critical bottleneck. Disparate trading nodes running on headless servers provide no centralized visibility. Portfolio managers need real-time aggregation of PnL, exposure, and system health across multiple brokerages without logging into multiple terminal sessions.

Our Approach

We build custom web-based command centers that act as the nervous system for your algorithmic fleet. Using secure REST APIs and WebSocket streams, our dashboards aggregate real-time data from all your active bots, allowing you to monitor distributed risk, adjust strategy parameters on the fly, and engage emergency kill switches from a single pane of glass.

Tech Stack & Capabilities

  • Real-Time Data Streaming: WebSockets and Redis Pub/Sub backends to stream live PnL, margin utilization, and open positions with zero refresh required.
  • Global Kill Switches: Physical control built into your software. We design secure control panels to instantly halt trading nodes during black swan events.
  • Advanced Analytics: Dynamic charting (TradingView Lightweight Charts, Highcharts) and automated calculations for Sharpe, Sortino, and daily Value at Risk (VaR).

Frequently Asked Questions

Is the dashboard secure?

Yes. We implement JWT authentication, Role-Based Access Control (RBAC), and strict CORS policies. The backend API is designed to run behind a VPC or VPN, inaccessible to the public internet.

Can I adjust strategy parameters live?

Yes. We can expose specific strategy variables (like risk allocation per trade or moving average periods) to the dashboard, allowing you to tweak live bots without redeploying code.

What frontend frameworks do you use?

We typically use React.js or Vue.js for the frontend, paired with a high-performance Python (FastAPI) or Node.js backend.

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