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TickerDB – pre-computed market context for agents
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wolfman1
161mo ago
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Pre-computed market context for agents
by wolfman1·May 28, 2026·2 points·0 comments
AI Analysis
●●SolidBig BrainSolve My Problem
Categorical market vocabulary beats raw OHLCV for agent reasoning and token efficiency.
Strengths
- •Pre-computed indicators mean zero latency and consistent reasoning across agent queries.
- •Categorical vocabulary (oversold, uptrend) matches how LLMs naturally reason about markets.
- •5 years of historical categorical data enables precedent-based agent decisions.
Weaknesses
- •Financial data API space is crowded with Polygon, Alpha Vantage, and Yahoo Finance.
- •Agent-specific formatting is clever but may not justify switching from established providers.
Category
Target Audience
Developers building AI agents for financial analysis or trading
Similar To
Polygon.io · Alpha Vantage · Yahoo Finance API
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