Trading Automation
FearHarvester Skill
FearHarvester is an autonomous DCA (dollar-cost averaging) trading agent designed to systematically exploit extreme market fear. It continuously monitors the Fear & Greed index and executes configurable rules: when F&G < 10 it dollar-cost-averages into BTC/ETH, and when F&G > 50 it rebalances holdin
Resumen
FearHarvester is an autonomous DCA (dollar-cost averaging) trading agent designed to systematically exploit extreme market fear.
FearHarvester is an autonomous DCA (dollar-cost averaging) trading agent designed to systematically exploit extreme market fear. It continuously monitors the Fear & Greed index and executes configurable rules: when F&G < 10 it dollar-cost-averages into BTC/ETH, and when F&G > 50 it rebalances holdings into yield-bearing instruments. Key features include backtesting (start date and capital parameters), live signal generation, and an executor with dry-run mode for safe validation. The Skill removes human emotion from “buy the fear” decisions, supports parameterized thresholds, position sizing, and time-based holds (historical tests use a 90-day hold). Use cases: automated crypto accumulation during crises, risk-managed rotation into yield on recovery, and reproducible research via historical edge analysis (2018–2024). Core advantages: repeatable strategy, audit logs, simulated validation, and integration-ready for exchange connectors.
Skill.md
Cómo funciona esta Skill
FearHarvester is an autonomous DCA (dollar-cost averaging) trading agent designed to systematically exploit extreme market fear. It continuously monitors the Fear & Greed index and executes configurable rules: when F&G < 10 it dollar-cost-averages into BTC/ETH, and when F&G > 50 it rebalances holdin
Autonomous DCA agent for extreme fear markets.
Strategy
- Monitor Fear & Greed index continuously
- When F&G < 10 (Extreme Fear): DCA into BTC/ETH
- When F&G > 50 (Neutral/Greed recovery): rebalance into yield
- Removes human emotion from "buy the fear"
Usage
uv run python scripts/backtest.py --start 2018-01-01 --capital 10000
uv run python scripts/signals.py --live
uv run python scripts/executor.py --dry-run
Historical edge (2018-2024)
Buying F&G < 10, holding 90d → 40-80% average return
Ideal para
Cuándo usarla
FearHarvester is an autonomous DCA (dollar-cost averaging) trading agent designed to systematically exploit extreme market fear. It continuously monitors the Fear & Greed index and executes configurable rules: when F&G < 10 it dollar-cost-averages into BTC/ETH, and when F&G > 50 it rebalances holdin
01 · ANTES DE LA REUNIÓN
Prepara un informe de decisión
Convierte evidencia dispersa en un caso estructurado antes del comité de inversión.
02 · FLUJO DE EQUIPO
Estandariza los traspasos
Genera resultados de research consistentes entre analistas, gestores de cartera y agents.
03 · ACTUALIZACIÓN EN VIVO
Refresca la tesis
Actualiza los escenarios tras un nuevo catalizador, la publicación de un KPI o un resultado trimestral.
Notas de la comunidad
Mejora a medida que se usa.
Los comentarios aparecerán aquí a medida que esta Skill se use y se revise.
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