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Crypto Macro Regime Classifier
by
JamieRossouw
· GitHub ↗
· v1.0.0
1380
Downloads
1
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install crypto-macro-regime
Description
Classify current crypto macro regime (Risk-On / Risk-Off / Neutral) using Fear & Greed Index, BTC dominance, Reddit sentiment, on-chain signals, and macro ne...
README (SKILL.md)
Crypto Macro Regime Classifier
Determines the current macro regime for crypto markets and adjusts trading bias accordingly.
Regimes
| Regime | F&G | Signals | Bias |
|---|---|---|---|
| A — Risk On | 50+ | Positive news, low dominance | Long bias +0.10 |
| B — Neutral | 25–50 | Mixed | No adjustment |
| C — Risk Off | \x3C25 | Fear, macro shock | Short bias, reduce size |
| D — Extreme Fear | \x3C15 | Capitulation | Contrarian long setup |
What It Returns
- Current regime (A/B/C/D) with confidence
- Fear & Greed value + classification
- Asset-specific bias adjustments
- Key macro drivers (Fed, regulation, hack risks)
- Recommended portfolio allocation %
Usage
Use crypto-macro-regime to get current market regime
Use crypto-macro-regime to check if now is a good time to go long BTC
Use crypto-macro-regime for today's macro briefing
Data Sources
- alternative.me Fear & Greed API (free)
- Reddit r/CryptoCurrency, r/Bitcoin sentiment
- CoinDesk headlines
- BTC difficulty and dominance data
Current Calibration
Regime D (Extreme Fear, F&G=8) = historically strong medium-term contrarian bullish signal. Best entries: RSI 35–55 range after panic selloff.
Usage Guidance
This skill looks coherent and low-risk: it only describes how to gather public market and sentiment signals and makes no unusual requests. Before installing, consider: (1) The SKILL.md is vague about how it fetches data — at runtime the agent may perform web requests or scraping (expect network access). (2) If you want more reliable data, you may need to supply API keys (Reddit, CoinGecko, or news APIs); avoid providing unrelated secrets. (3) Treat its output as informational, not financial advice — validate signals and test with paper trading. (4) If you need to constrain behavior, require explicit credentials or specify approved data endpoints so the agent doesn't fetch arbitrary sites.
Capability Analysis
Type: OpenClaw Skill
Name: crypto-macro-regime
Version: 1.0.0
The provided files consist of standard OpenClaw metadata (_meta.json) and a skill description (SKILL.md). The SKILL.md outlines a crypto market analysis tool that uses public data sources like the Fear & Greed API, Reddit sentiment, and CoinDesk headlines. There is no executable code, no evidence of prompt injection attempts, data exfiltration, malicious execution, or persistence mechanisms. The described functionality and data sources are consistent with a legitimate market analysis skill.
Capability Assessment
Purpose & Capability
Name, description, and declared data sources (Fear & Greed, Reddit, CoinDesk, BTC metrics) align with a macro-regime classifier. No unrelated credentials, binaries, or config paths are required.
Instruction Scope
SKILL.md is high-level and instructs the agent to use the listed public data sources but does not provide exact endpoints or methods. That vagueness grants the agent discretion to fetch/scrape web content or call public APIs; this is expected for an instruction-only skill but worth noting because it could cause broad network access at runtime.
Install Mechanism
No install spec or code files — instruction-only skill. This is the lowest-risk model and nothing will be written to disk by an installer.
Credentials
The skill requests no environment variables or credentials. Some referenced data sources (e.g., Reddit API) can require API credentials for robust access, but the absence of requested credentials is coherent if the agent will rely on public endpoints or scraping.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill does not request persistent or elevated privileges or modify other skills' config.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install crypto-macro-regime - After installation, invoke the skill by name or use
/crypto-macro-regime - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: 4-regime classifier (A/B/C/D) with F&G, Reddit sentiment, asset bias adjustments.
Metadata
Frequently Asked Questions
What is Crypto Macro Regime Classifier?
Classify current crypto macro regime (Risk-On / Risk-Off / Neutral) using Fear & Greed Index, BTC dominance, Reddit sentiment, on-chain signals, and macro ne... It is an AI Agent Skill for Claude Code / OpenClaw, with 1380 downloads so far.
How do I install Crypto Macro Regime Classifier?
Run "/install crypto-macro-regime" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Crypto Macro Regime Classifier free?
Yes, Crypto Macro Regime Classifier is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Crypto Macro Regime Classifier support?
Crypto Macro Regime Classifier is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Crypto Macro Regime Classifier?
It is built and maintained by JamieRossouw (@jamierossouw); the current version is v1.0.0.
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