Works with the AI tools you already use
BTC Cycle Indicator Checker
Fetch live Bitcoin MVRV, 200-week MA, and drawdown data for objective market risk classification.
Free
See it in action
You say
Run a cycle check on BTC and tell me the current risk zone.
Your agent does
BTC Cycle Indicator Report
- Price: $62,450
- Market cap: $1.23T
- 200-week MA: $38,200 (price is 1.63x — ABOVE the 200WMA)
- MVRV: 1.85 (zone: elevated)
- Drawdown from ATH: -15%
- Historical context: Indicators suggest an elevated mid-cycle phase.
- Educational disclaimer: Not financial advice.
About this skill
Most generic LLMs answer "where are we in the Bitcoin cycle?" with vibes. This skill answers with data: it fetches live BTC price and market cap from keyless public APIs, computes the 200-week moving average and drawdown from the cycle peak, and classifies zones against historically observed thresholds. Deterministic, transparent, educational — and honest about what free data can and can't tell you (MVRV needs paywalled realized cap; the skill says so instead of inventing a number).
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
1 install
Downloaded by developers to date
Free forever
No account required to browse
Trust & safety
Security scanned
Verified clean today
- Free to download with an account
Frequently Asked Questions
Browse More Skills
code-reviewer
Reviews your code for bugs, security vulnerabilities, logic errors, performance issues, and style violations. Organizes findings by severity and suggests fixes with code examples.

humanize-writing
Transform robotic AI drafts into natural, human-sounding prose with native-level flow and tone.
git-commit-writer
Writes conventional commit messages by analyzing your staged git changes. Detects commit type, scope, and breaking changes automatically.

prompt-engineer
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.