What is rangebar-eval-metrics?
Range bar evaluation metrics for quant trading. TRIGGERS - range bar metrics, Sharpe ratio, WFO metrics, PSR DSR MinTRL. Source: terrylica/cc-skills.
·rangebar-eval-metrics
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rangebar-eval-metrics
✓Range bar evaluation metrics for quant trading. TRIGGERS - range bar metrics, Sharpe ratio, WFO metrics, PSR DSR MinTRL.
Installation
How to Install rangebar-eval-metrics
Quickly install rangebar-eval-metrics AI skill to your development environment via command line
- Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
- Run Installation Command: Copy and run this command: npx skills add https://github.com/terrylica/cc-skills --skill rangebar-eval-metrics
- Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Source: terrylica/cc-skills.
SKILL.md
View rawMachine-readable reference + computation scripts for state-of-the-art metrics evaluating range bar (price-based sampling) data.
| Primary (5) | Research decisions | weeklysharpe, hitrate, cumulativepnl, nbars, positivesharperate | Per-fold + aggregate | | Secondary/Risk (5) | Additional context | maxdrawdown, barsharpe, returnperbar, profitfactor, cvfoldreturns | Per-fold | | ML Quality (3) | Prediction health | ic, predictionautocorr, iscollapsed | Per-fold |
| Diagnostic (5) | Final validation | psr, dsr, autocorrlag1, effectiven, binomialpvalue | Aggregate only | | Extended Risk (5) | Deep risk analysis | var95, cvar95, omegaratio, sortinoratio, ulcerindex | Per-fold (optional) |
Range bar evaluation metrics for quant trading. TRIGGERS - range bar metrics, Sharpe ratio, WFO metrics, PSR DSR MinTRL. Source: terrylica/cc-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/terrylica/cc-skills --skill rangebar-eval-metrics- Source
- terrylica/cc-skills
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-03-07
- Updated
- 2026-03-10
Quick answers
How do I install rangebar-eval-metrics?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/terrylica/cc-skills --skill rangebar-eval-metrics Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Where is the source repository?
https://github.com/terrylica/cc-skills
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-03-07