📰 Dev.to · grahammccain

Every stock screener ranks by the same things: RSI under 30, price above the 50-day, a volume spike,...

Ask any LLM "is NVDA bullish here?" and it will answer with total confidence — a cup-and-handle here,...

Academic papers say VRP, VIX term structure, credit spreads, and yield curve should condition forward returns. We added filters for all of them. Across 200 anch

Our cohort API was returning quantile bands that were too narrow. Nominal 80% coverage ran at 68% on held-out data. Here's the audit, the conformal fix, and why

A working pattern for AI agents that need real historical base rates instead of plausible-sounding guesses. One API primitive, three filter dimensions, full out

Specific, reusable patterns agent builders can apply today: grounded base rates, the edge-mining loop, and named-analog tagging. Each one addresses a failure mo

We audited our own pattern-embedding evaluation and found 53% of held-out samples had same-symbol training neighbors within 20 days. Here's what we changed — an

Build a multi-agent research crew that combines chart pattern analysis with market regime intelligence using CrewAI and Chart Library's API.

Install Chart Library's MCP server and give Claude Desktop access to 24 million historical chart patterns, market regime data, and forward return statistics.

A hands-on tutorial for building an AI agent that can answer natural-language questions about stock charts, market regimes, and sector rotation using LangChain