TickerDB

Provides a pre-computed market data layer that transforms raw OHLCV and indicator calculations into categorical bands and structured fields to improve agent reasoning and reduce token usage. Serves software developers, data teams, and finance professionals in B2B companies building AI agents and trading research workflows. Delivered as infrastructure via API, MCP server, and SDKs that expose hundreds of indicators and semantic search without custom parsing or indicator math.

Key features

• Trend direction and structure indicators
• Moving average structure and events
• OHLCV raw price and volume
• Stage analysis 40-week stages
• Chart pattern setup states
• Momentum RSI and pressure
• Volume spikes and accumulation
• Volatility regime and squeezes
• Support and resistance levels
• Value divergence stock ranking
• Fundamentals valuation and growth
• Sector relative context
• Insider buying and selling activity
• Semantic natural language search
• Candle-to-candle structured diff
• MCP integration for LLMs