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
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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
這個 Skill 如何運作
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
最適合用於
何時使用
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 · 會前準備
準備決策簡報
在投資委員會開會前，把零散證據整理成結構化的論據。
02 · 團隊協作
統一交接標準
讓分析師、投資組合經理與 Agent 產出一致的研究結果。
03 · 即時更新
更新投資邏輯
出現新催化劑、KPI 發布或財報結果後，更新情境假設。
社群回饋
越用越好用。
隨著 Skill 被使用與評審，回饋將顯示在這裡。
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