Real-time automation is reshaping how trading software is distributed and how market contexts are consumed. This guide details how to build and integrate ai commentary for daily market recap systems.

Automating Market Commentary

Our Market Context API processes volume, delta, and spoof scores, translating raw data into natural language summaries using local AI models (such as Ollama and Llama 3). This delivers instant, actionable context without requiring cloud resources.

typescript
// Example request structure for Market Context API
interface ContextRequest {
  instrument: string;
  imbalanceRatio: number;
  spoofScore: number;
  marketDelta: number;
}
// Returns a chatgpt-style market summary

HMAC-Signed Entitlement Licensing

Security is paramount. The Vantedge Alpha licensing API verifies activations using cryptographically secure HMAC tokens. Every request from a running NinjaTrader client carries a signed heartbeat that prevents key cracking and controls client usage limits.

Configuring the Local Database

Development databases use SQLite for fast local development, while production deploys run on Supabase/PostgreSQL. This guarantees ACID compliance for license validation and client activity tracking.