
Btc Bottom Model
A weighted scoring system that turns 13 Bitcoin indicators into a single 0-100 Market Heat Score to help you time cycle entries and exits. It splits indicators into Daily Pulse (ETF flows, funding rate, fear/greed, long/short ratio) worth 32 points and Weekly Structure (LTH-MVRV, NUPL, SOPR variants, supply metrics, moving averages) worth 68 points. The heavier weighting on slow-moving on-chain data is intentional since LTH behavior and realized value metrics have historically been more reliable at catching actual cycle extremes. Good for answering "should I buy Bitcoin now" questions with something more systematic than vibes, though you'll need to web search each indicator's current value yourself.
- skills.sh installs
- 534
- GitHub stars
- 1.1K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add star23/day1global-skills --skill btc-bottom-model --agent claude-codeInstalls into .claude/skills of the current project.
Files
Bitcoin Cycle Timing Model (BTC Market Heat Scoring System)
This skill helps you systematically assess where Bitcoin sits in its market cycle — from extreme fear (accumulation opportunity) to extreme greed (distribution/exit signal). Through a weighted evaluation of 13 on-chain, sentiment, and market indicators, it produces a 0-100 Market Heat Score and actionable buy/sell recommendations.
Use Cases
Use this skill when users ask the following types of questions:
- Has Bitcoin bottomed out / Can I buy the dip
- Is Bitcoin overheated / Should I take profits
- Where is BTC in the current cycle
- Do on-chain data support building or reducing a position
- What are long-term holders doing / Are ETFs buying or selling
- Is leverage too high / Is the market too greedy
Scoring System Overview
The model uses a weighted composite score from 0 to 100:
- 0 = Extreme Fear (historically the best buying opportunities)
- 100 = Extreme Greed (historically the best selling opportunities)
Indicators are split into two groups:
Sponsors
Details
- Repository
- github.com/star23/day1global-skills
- Categories
- Marketing & SEO, Finance & Trading, Web3 & Blockchain
- First seen
- Jun 3, 2026