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Single-asset ETH scanner that scores market signals to trigger conviction-scaled entries with cooldowns and leverage tiers.
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.
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.
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.
POLAR v5.0.0 is a single-asset ETH trading strategy (crypto leverage on Hyperliquid) using multi-factor scoring, conviction-tiered leverage, and runtime-managed execution. SKILL.md is thorough with detailed rules, scoring tables, and version history. Scripts are well-structured but depend entirely on a proprietary senpi_runtime_helpers SDK and the Senpi trading runtime — both fail to import in isolation. Inconsistencies exist between SKILL.md stated MIN_SCORE values (8, 10, 12, 14 across different sections). The skill is highly specialized and only usable within the Senpi ecosystem.
senpi_runtime_helperspolar_config (inter-script import)Niche crypto trading skill. No security concerns — no credential leakage, no destructive commands, no exfiltration. Financial risk (leverage trading up to 20x) is the intended purpose, not a vulnerability. Scripts cannot run without the Senpi ecosystem but are well-written for that context.
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