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Multi-day hold trading strategy for Hyperliquid: scans top 50 assets, holds up to 2 concurrent positions for multi-day winners with conservative leverage (3–7x)
Python is a multi-day hold trading skill designed to capture rare, large winners across the top-50 Hyperliquid universe. It implements strict multi-timeframe gates, scoring, and a DSL-driven exit profile that favors holding winners for days rather than intraday rotation. The skill enforces limits (max 2 concurrent positions, daily entry caps), risk controls (hard stop, drawdown circuit breaker), and position-sizing rules tied to score thresholds.
Use Python when you want a complementary long-bias, multi-day strategy alongside faster short-term predators. It's best for operators with sufficient capital (recommended $1K+), comfortable with drawdowns, and wanting to capture the occasional large trend that drives most profits. Not suitable for very small accounts or traders who need daily turnover.
Primarily built for the Senpi trading platform and its runtime plugins (senpi-trading-runtime). Agents or toolchains that can run Python scanners and DSL-managed exits will be compatible.
PYTHON v2.0.0 is a crypto trading strategy for Hyperliquid that scans top 50 assets for multi-day hold opportunities. Scripts depend on proprietary senpi_runtime_helpers and senpi-trading-runtime SDKs which are not publicly available, so neither script runs outside the Senpi ecosystem. The SKILL.md is detailed and well-structured but instructs users to pipe curl into shell and use sed for config, and scripts hardcode /data/workspace paths.
senpi_runtime_helperssenpi-trading-runtimeLegitimate Senpi trading strategy skill. Not malicious, but highly platform-specific — only useful within the Senpi ecosystem on Hyperliquid. curl-based install without checksum verification is a minor concern. Scripts cannot run independently due to missing proprietary dependencies. Hardcoded /data/workspace path causes PermissionError. LONG-biased crypto trading with leverage carries significant financial risk for users.
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