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
Überblick
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
So funktioniert diese 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
Am besten geeignet für
Wann du sie einsetzt
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 · VOR DEM MEETING
Ein Entscheidungsbriefing vorbereiten
Mach aus verstreuten Belegen vor dem Investmentkomitee einen strukturierten Case.
02 · TEAM-WORKFLOW
Übergaben standardisieren
Erzeuge konsistente Research-Ergebnisse über Analysten, Portfoliomanager und Agents hinweg.
03 · LIVE-UPDATE
Die These auffrischen
Aktualisiere die Szenarien nach einem neuen Katalysator, einer KPI-Veröffentlichung oder einem Quartalsergebnis.
Community-Notizen
Wird mit jedem Einsatz besser.
Feedback erscheint hier, sobald diese Skill genutzt und geprüft wird.
Mehr entdecken
Ähnliche Skills
Alle ansehenhyperliquid-trading
The Hyperliquid Trading skill provides a concise interface for trading on Hyperliquid’s spot and perpetual markets. Use it to place limit and market orders, cancel open orders, query order status,…
bankr
Bankr enables executing crypto trading and DeFi operations via natural-language commands. It offers two integration options: a batteries-included Bankr CLI and a REST API at https://api.bankr.bot,…
pine-backtester
pine-backtester provides comprehensive backtesting for Pine Script indicators and strategies. Use it to append performance metrics, analyze trades, generate equity curves, compute win rates, track…