POLAR ETH Strategy

What it does

POLAR is an automated ETH trading scanner that runs on a 3-minute cadence. It computes a multi-timeframe score (15m/1h/4h) using SM consensus, momentum/acceleration, funding alignment, and trader depth, then opens single high-conviction positions with leverage scaled by score. The skill enforces strict operational rules (max 1 position, entry cooldowns, and a minimum score threshold) and integrates with a runtime YAML for DSL-managed exits and runtime setup.

When to use it

Use POLAR when you want an autonomous, conviction-driven ETH entry system that avoids overtrading: automated scanners, strategy backtests, or live scanning where you require strict cooldowns and score-based leverage decisions. Not for multi-asset or low-risk setups.

What's included

• Scripts: scripts/polar-scanner.py (scoring + entry), scripts/polar_config.py (config helper) — has_scripts=true
• References: references/ (strategy attribution, runtime notes) — has_references=true
• Instructions: clear runtime setup steps, a bootstrap gate checklist, and detailed scoring rules (signals and point system). The SKILL.md documents installation path, runtime creation, and bootstrap verification.

Compatible agents

Best with agents that can run local scripts and manage runtimes (OpenClaw/OpenClaw senpi runtime). Works where the agent can execute Python scripts and manage runtime.yaml; suitable for autonomous agents with CLI access.