Strategies策略 · 💎 Tactical strategy战术策略
Quality Flight质量避险
Quality compounds through slowdowns — pair its trend with the macro recession gauge.质量在放缓中复利 —— 将其趋势与宏观衰退计配对。
As of截至 Jul 16, 2026 · Quality factor质量因子 · current income当前票息 ~1.3%
Experimental — display-only (Phase-0)实验性 — 仅展示(Phase-0) A drawdown / Sharpe engine — not a yield-maximizer回撤 / 夏普引擎 — 并非收益最大化工具

Recommended allocation right now当前建议仓位

Quality factor质量因子100%
Quality factor质量因子 T-bills短期国债 (cash carry现金套息)
Last change上次调整: 2026-04-21 — 66% → 100%
Current income blends the risk-asset yield (when invested) with the cash-leg yield (when de-risked).当前票息为风险资产收益(在场时)与现金腿收益(降险时)的加权。

Recession risk衰退风险 score评分 (0–100)

3
Calm — fully invested平静 — 满仓
Higher = more risk-off. The score sets the risk-asset weight via graded bands (below), with a 5-day debounce to cut whipsaw.分数越高越偏避险。该分数通过分级区间(见下)设定风险资产权重,并有 5 日缓冲以抑制频繁换仓。
What is driving the score分数由什么驱动
Each leg adds points to the 0–100 score (renormalised weighted mean). The bar is the current score, split by contribution.各分项为 0–100 分数贡献分值(归一化加权平均)。下方进度条为当前分数,按贡献拆分。
Filled width = the score out of 100. Empty = headroom (calm).填充宽度 = 满分100中的得分。空白 = 余量(平静)。
Signal leg信号分项Intensity强度Weight权重Pub lag发布滞后Points贡献分
Trend (time-series momentum)趋势(时间序列动量) 0/100 0.5 0d 0.0
Recession risk衰退风险 5/100 1.0 22d 3.1
Composite score综合分数3
The strategy in action · benchmark with the model on top策略实战 · 基准叠加模型
Green = fully invested, amber = trimmed, clear = defensive. ▲/▼ mark every allocation change. The strategy equity (blue) is rescaled onto the benchmark axis so you can read protection vs participation directly.绿色 = 满仓,琥珀 = 减仓,空白 = 防守。▲/▼ 标注每次仓位变动。策略净值(蓝)已缩放至基准轴,可直接对比保护与参与度。

Growth of $1 (log) — vs buy & hold1美元增长(对数)— 对比买入持有

Underwater (drawdown) — vs buy & hold水下回撤 — 对比买入持有

Honest framing: this does NOT reliably beat buy-and-hold on CAGR — sitting in the cash leg through stress gives up some carry. The edge is the higher Sharpe and the much shallower max drawdown: it times the LEFT TAIL that destroys the yield (the recession/credit/rate shock), not the yield itself.诚实说明:本策略在年化收益上并不稳定跑赢买入持有 —— 压力期退守现金腿会让出部分套息。优势在于更高的夏普与明显更浅的最大回撤:它择时的是吞噬收益的左尾(衰退/信用/利率冲击),而非收益本身。
Backtest scorecard · 13.0 years vs buy & hold回测记分卡 · 13.0 年对比买入持有
CAGR
10.74%
buy & hold买入持有 13.69%
Sharpe
0.76
buy & hold买入持有 0.84
Max drawdown最大回撤
-33.2%
buy & hold买入持有 -34.1%
Time invested在场时间
99.6%
0.86x turnover/yr换手/年
Sortino
0.92
buy & hold买入持有 1.05
Income yield now当前票息
1.3%
blended risk-asset + cash风险资产 + 现金加权
Deflated Sharpe贬值夏普
0.8882
multiple-testing haircut多重检验折减 · n=8
The rule-book · risk band → weight规则手册 · 风险区间 → 权重
Risk band风险区间Score分数Quality factor质量因子 weight权重T-bills短期国债
Calm — fully invested平静 — 满仓 < 25 100% 0%
Watch — trim关注 — 减仓 25–50 66% 34%
Stress — de-risk压力 — 降险 50–75 33% 67%
Defensive — all cash防守 — 全现金 ≥ 75 0% 100%
A new band must hold 5 trading days before it takes effect (hysteresis kills whipsaw). Bands and leg weights are pre-registered, not tuned per result.新区间须连续保持 5 个交易日才生效(滞后机制抑制频繁换仓)。区间与分项权重为预先登记,非按结果调参。
Independent bear episodes · the true sample size独立熊市事件 · 真实样本量
Peak峰值Trough谷底Buy & hold drawdown买入持有回撤
2018-09-212018-12-24-20.5%
2020-02-192020-03-23-34.1%
2021-12-292022-10-14-28.2%
A handful of independent ≥20% bears govern a get-out / get-back-in switch — effective-N, not the day count, bounds confidence. Full leave-one-crisis-out validation is a fast-follow.少数几次独立的 ≥20% 熊市决定一次离场/再入场切换 — 决定置信度的是有效样本量,而非天数。完整的留一危机验证为后续跟进。
Quality factor (QUAL) total return = dividend/coupon-adjusted close (2013→). Short history (no 2008); QUAL is the iShares USA quality ETF. Experimental — full Phase-0 (leave-one-crisis-out, deflated-Sharpe) is a fast-follow.质量因子 (QUAL)总回报 = 经分红/票息调整收盘价(2013→)。历史较短(无 2008);QUAL 为 iShares 美国质量 ETF。 实验性 —— 完整 Phase-0(留一危机、贬值夏普)为后续跟进。
Built生成于 2026-07-17 17:33 UTC
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