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Skill

btc-bottom-model

by star23

AI Summary

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 acti

Install

Copy this and paste it into Claude Code, Cursor, or any AI assistant:

I want to install the "btc-bottom-model" skill in my project.

Please run this command in my terminal:
# Install skill into your project
mkdir -p .claude/skills/btc-bottom-model && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/btc-bottom-model/SKILL.md "https://raw.githubusercontent.com/star23/Day1Global-Skills/main/btc-bottom-model/SKILL.md"

Then restart Claude Code (or reload the window in Cursor) so the skill is picked up.

Description

Bitcoin cycle timing model with weighted scoring system. Tracks 13 indicators across 2 categories — Daily Pulse (4 indicators, 32 points) and Weekly Structure (9 indicators, 68 points) — producing a composite 0-100 Market Heat Score. Covers ETF flows, funding rate, long/short ratio, fear & greed index, LTH-MVRV, NUPL, SOPR (LTH + STH), LTH supply %, moving average multiples (365d MA, 200w MA), weekly RSI, and volume trends. Provides both buy AND sell recommendations across the full market cycle. Use this skill when users mention Bitcoin bottom-fishing, BTC cycle position, whether to buy or sell BTC, on-chain metrics, MVRV, NUPL, SOPR, LTH behavior, ETF inflows/outflows, funding rates, fear index, whether Bitcoin is overheated, miner cost, crypto market sentiment, BTC position sizing, or any question like "Should I buy Bitcoin now?" or "Is BTC topping out?" or "What do on-chain indicators say?"

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: | Group | Weight | Purpose | Indicators | |-------|--------|---------|------------| | Daily Pulse | 32 / 100 | Fast-moving sentiment & flow signals | 4 indicators | | Weekly Structure | 68 / 100 | Slow-moving on-chain & cycle signals | 9 indicators | The heavier weighting on weekly/structural indicators reflects their superior track record in identifying cycle extremes. ---

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.

Daily Pulse Indicators (32 points total)

For each indicator, use web_search to find the latest data, then score according to the normalization rules below. Each indicator's raw value is normalized to a 0-100 sub-score, then multiplied by its weight to get its contribution to the total.

Discussion

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Health Signals

MaintenanceCommitted 6d ago
Active
Adoption100+ stars on GitHub
793 ★ · Growing
DocsREADME + description
Well-documented

GitHub Signals

Stars793
Forks129
Issues2
Updated6d ago
View on GitHub
MIT License

My Fox Den

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Works With

Claude Code