Platform Architecture

How TradeVoiceLab Works

Five purpose-built trading apps sharing one intelligent AI layer.

Get Started

Register Free Access

TradeVoiceLab is currently in early access. Submit a request, get reviewed, and you'll receive a welcome email with login details. Then access any app from your personal portal.

1
Choose a plan & submit request
2
Admin reviews & approves
3
Welcome email with login link
4
Access your apps from the portal
🗺️ The Big Picture
Your browser connects to 5 trading apps. Every app shares the same AI layer underneath. The AI layer talks to your data and the LLM of your choice.
Routine Work Research Strategy Active Trading Investment YOUR BROWSER HTTPS AI SERVICES LAYER 📊 Market Data 📉 Tech Analysis 🎩 AI Investors ⚖️ Risk 💰 Valuation 🔮 Prediction 🧪 Backtesting 🧠 LLM Gateway DATA LAYER 🗄️ Database & Cache · 📡 Market Feeds LLM PROVIDER 🏠 Private (Ollama / llama.cpp) 🌐 Commercial (OpenAI / Anthropic / …)
🔒 Private Deployment Options
Portable and flexible deployment.
🏠 On-Premises Your own server or homelab ✅ Full data privacy ✅ No API costs ✅ Works offline Docker Compose / Swarm Ollama / llama.cpp on GPU Linux server, 8GB+ RAM ☁️ Self-Hosted Cloud Cloud VM, private LLM ✅ VPC-isolated ✅ Private LLM on GPU VM ~$200–800 / month ✅ Docker Swarm ⚙️ Kubernetes EC2 g4dn / GCP A2 for LLM 🌐 Cloud + LLM API No GPU required ⚠️ Data sent to provider Pay-per-token ✅ Easiest to start ⚙️ ECS / Fargate OpenAI / Anthropic Gemini / compatible
✅ Tested in production  ·  ⚙️ Architecture compatible, not yet fully validated

See it in action first

Try the live demo with real market data — no account needed.