Bitcoin Cycle Timing Model

What it does

This skill computes a 0–100 Market Heat Score by weighting 13 indicators across two groups — Daily Pulse (4 fast-moving flow/sentiment signals) and Weekly Structure (9 slow-moving on-chain/cycle signals). It normalizes ETF flows, funding rate, fear & greed, long/short ratio, LTH-MVRV, NUPL, SOPR (LTH & STH), LTH supply %, 365d MA ratio, 200-week MA multiplier, weekly RSI, and volume trends to provide an actionable score and allocation guidance (accumulate, hold, trim, or take profits).

When to use it

Use when a user asks about Bitcoin cycle timing, whether to buy the dip or take profits, on-chain signals (MVRV, NUPL, SOPR), ETF flows, funding rates, or general BTC market positioning (e.g., "Should I buy Bitcoin now?" or "Is BTC topping out?"). It is designed for conversational agents that need a repeatable, explainable market phase signal.

What's included

• Scripts: none detected in the skill directory (has_scripts=false)
• References: none included (has_references=false)
• Instructions: Detailed scoring rules for each of the 13 indicators, normalization anchors, and an output report template that the agent should use to present results. The SKILL.md provides the full calculation method and API fallback guidance.

Compatible agents

Best suited for agents with web-search and HTTP fetch capabilities (Claude/Gemini/Copilot-style agents, or any assistant that can call the provided brief.day1global.xyz API). The model assumes access to web_search or an API to fetch current indicator values.