Trader Regime
Analyzes market conditions to classify whether you're in a bull, bear, ranging, or volatile regime using neural-trader's detection engine. Pulls technical indicators like RSI, MACD, and ADX, runs them through the SONA neural prediction system, and checks historical precedents from stored trading analysis. You'd use this when you need to adjust your strategy to current market conditions rather than blindly following signals. The interesting bit is the combination of classical technical analysis with neural predictions and memory search across past regimes. Worth noting it stores each analysis for future pattern matching, so it gets more useful over time as you build up a historical database of regime shifts.
- skills.sh installs
- 733
- GitHub stars
- 81.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add ruvnet/ruflo --skill trader-regime --agent claude-codeInstalls into .claude/skills of the current project.
Files
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- Repository
- github.com/ruvnet/ruflo
- Category
- Finance & Trading
- First seen
- Jun 3, 2026
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