🔬 Quant Lab — advanced analytics量化实验室 — 进阶分析

The deeper, geekier reads behind the main dashboard — cross-asset concentration, risk budgeting, the factor scorecard, and the raw market-internals tables. Useful for sanity-checking the headline calls; not needed for day-to-day decisions.主仪表盘背后更深、更技术的解读 — 跨资产集中度、风险预算、因子记分卡,以及原始的市场内部结构表。用于校验头条判断;日常决策并不需要。 As of截至 2026-07-20.

🌐 Cross-asset concentration — are the six markets one bet?跨资产集中度 — 六大市场是否同一笔押注? ?How much the six markets (US equity, crypto, China, HK, commodities, the dollar) are really moving as ONE risk/liquidity bet vs independent bets. The absorption ratio is the share of total variance explained by the single dominant factor: 1/6≈0.17 means independent, →1 means everything moves together (a fragile, crowded regime that has historically preceded drawdowns). Stacking correlated views feels like diversification but doubles one exposure.六大市场(美股、加密货币、中国、香港、大宗商品、美元)在多大程度上其实是同一笔风险/流动性押注,而非独立押注。吸收比率是单一主导因子所解释的总方差占比:1/6≈0.17 表示独立,→1 表示一切同向(脆弱、拥挤的状态,历史上常先于回撤出现)。叠加相关的观点感觉像分散,实则在加倍同一笔敞口。

CONCENTRATED

3 of 6 markets are one bet (US, Commodities, Dollar). Cross-asset correlation is in the top 13% of its 5y range: stacking these views is doubling one liquidity/risk exposure, not diversifying.

absorption ratio (PC1 variance share)吸收比率(PC1 方差占比)0.416 · 87th pctile of 5y 百分位(5年) · independent floor独立基准 0.167

Dominant cluster (PC1 loadings)主导聚类(PC1 载荷)

These markets are the one bet:这些市场属于同一押注: US, Commodities, Dollar

US0.54
Crypto0.35
China0.34
HK0.24
Commodities0.48
Dollar0.44

Most-correlated pairs相关性最高的配对

US ↔ Commodities0.52

Correlation matrix (63-day, risk-on-oriented)相关性矩阵(63日,按风险偏好定向)

USCryptoChinaHKCommoditiesDollar
US 1.00 0.43 0.41 0.21 0.52 0.49
Crypto 0.43 1.00 0.01 0.03 0.22 0.39
China 0.41 0.01 1.00 0.33 0.37 0.08
HK 0.21 0.03 0.33 1.00 0.17 0.10
Commodities 0.52 0.22 0.37 0.17 1.00 0.43
Dollar 0.49 0.39 0.08 0.10 0.43 1.00

Absorption ratio = PC1 variance share (Kritzman-Page 2010): high/rising absorption marks a fragile one-factor regime that has historically led drawdowns. Daily closes across US/Asia/24-7 crypto carry a timezone lead/lag — a coarse regime gauge, not a hedge ratio.

⚖️ Risk budgeting across the six markets六大市场的风险预算 ?If you expressed all six market views as one book, how should they be weighted? Equal-weight (1/6 each), inverse-vol (more in the calm markets), and equal-risk-contribution (ERC — each market contributes the SAME share of portfolio risk). The 'risk' column is each market's share of total portfolio variance: equal-weight quietly concentrates risk in the most volatile market; ERC equalizes it. This is the honest 'size as uncorrelated bets' weighting — a reference, not a trade list.若把全部六个市场观点合成一个组合,该如何配权?等权(各 1/6)、逆波动率(在平静市场配得更多),以及等风险贡献(ERC — 每个市场对组合风险贡献相同份额)。'风险'列是各市场对组合总方差的占比:等权会悄悄把风险集中在波动最大的市场;ERC 将其均衡。这是诚实的'按不相关押注定量'配权 — 仅作参考,非交易清单。

Equal-weighting all 6 market views puts 36% of portfolio RISK in one market (vs 17% if truly balanced); ERC rebalances to ~equal risk (heaviest weight: Dollar 0.439). Diversification ratio 1.66.

market市场 EW wt权重IV逆波ERCEW riskEW风险
US 17% 18% 15% 12%
Crypto 17% 6% 7% 36%
China 17% 13% 14% 12%
HK 17% 12% 14% 10%
Commodities 17% 8% 7% 26%
Dollar 17% 43% 44% 3%

Diversification ratio分散化比率: EW 1.62 · ERC 1.66 (higher = more genuine diversification越高 = 越真实的分散化). Equal-weight puts等权将 36% of risk in one market; ERC caps each at的风险放在一个市场;ERC 将每个限制在 ~17%.

🌊 Crisis stress replay危机压力回放 ?What an equal-weight book of the then-available markets would have done through past crises. The point: in a stress everything correlates toward 1, so the 'diversified' six-view book still craters — the tail cost of the concentration the absorption ratio flags in calm times.等权持有当时可用市场的组合在过去危机中的表现。要点:在压力中一切相关性趋于 1,因此'分散'的六观点组合依然崩塌 — 这正是吸收比率在平静期所警示的集中度的尾部代价。

crisis危机book组合max DD最大回撤worst最差
2008 GFC -30.8% -38.8% Commodities -46.4%
2015-16 China -4.4% -11.6% HK -23.2%
2018 Q4 -14.2% -14.7% Crypto -43.5%
2020 COVID -6.1% -20.9% Crypto -14.6%
2022 bear -28.6% -29.0% Crypto -55.7%

🧮 Factor IC scorecard — leak-free (point-in-time)因子 IC 记分卡 — 无前视(时点) ?Each equity factor's Information Coefficient: the cross-sectional rank correlation of its score vs forward returns, per quarter, built point-in-time (EDGAR as-of fundamentals + prices truncated to the date) so no factor ever sees a not-yet-filed report. IC-IR is mean/vol (the signal-to-noise); t_HAC is a Newey-West t-stat (overlapping windows autocorrelate); q_FDR is the Benjamini-Hochberg false-discovery rate ACROSS the factor panel. Judge survivors vs ~0 — post point-in-time fix the spreads are honestly weak.每个股票因子的信息系数:其分数对未来回报的横截面秩相关,按季度、以时点方式构建(EDGAR 截至日基本面 + 截断至当日的价格),因此任何因子都不会看到尚未提交的报表。IC-IR 是均值/波动(信噪比);t_HAC 是 Newey-West t 统计量(重叠窗口存在自相关);q_FDR 是跨因子面板的 Benjamini-Hochberg 错误发现率。以约 0 来评判幸存者 — 时点修正后价差确实偏弱。

Span区间 2011-03-31..2025-12-31 · 60 quarterly rebalances · forward次季度再平衡 · 前瞻 63d · ~1154 names只股票.

factor因子mean IC平均ICIC-IRt_HACq_FDRhit命中survives FDR?通过FDR?
value 0.0184 0.2232.0060.247 0.55 no
profitability 0.0141 0.120.820.9309 0.55 no
quality 0.0042 0.0730.5640.9309 0.533 no
investment -0.0029 -0.036-0.2880.9456 0.5 no
payout 0.0247 0.2982.7230.0715 0.583
low_vol -0.0209 -0.093-0.7420.9309 0.467 no
low_beta -0.0151 -0.063-0.5350.9309 0.533 no
accruals 0.007 0.0990.7290.9309 0.55 no
sue 0.0006 0.0090.0650.9482 0.517 no
composite -0.0072 -0.049-0.3960.9456 0.45 no
composite_orth 0.0024 0.0150.1240.9482 0.483 no

Factor overlap因子重叠: mean |corr|平均|相关| 0.137 raw →原始 → 0.055 orthogonalized. Most-correlated:正交化后。相关性最高: low_vol↔low_beta (0.74); quality↔accruals (0.71)

Deep ~2011-2026 re-test on a SURVIVORSHIP-BIASED price panel: delisted names are absent (yahoo serves only currently-listed), so this is an OPTIMISTIC bound — a clean test needs delisting-recovered prices. FINRA short-interest is omitted (no point-in-time history). Fundamentals stay point-in-time from the EDGAR panel. Compare to the shallow 2023-2025 read: factors that survived on ~2.5y (notably SUE) weaken on deep history. Point-in-time (EDGAR panel + prices truncated to asof); IC = quarterly cross-sectional rank corr of factor z vs forward return; t_hac = Newey-West; q_fdr = Benjamini-Hochberg across the factor panel. Survivors judged vs ~0.

Market internals & raw detail市场内部结构与原始细节 moved off the main dashboard to keep it focused已从主仪表盘移出以保持其聚焦

The two dials behind the regime周期背后的两个刻度盘 ?The regime label comes from two scores between -1 and +1, built from market prices (which lead) plus a small weight on economic data (which confirms).周期标签来自两个介于 -1 与 +1 之间的分数,由市场价格(领先)加上经济数据(确认)的小幅权重构建。

Growth:增长: RISING上行 (+0.07 of ±1 · agreement/±1 · 一致度 4%)

Inflation pressure:通胀压力: RISING上行 (+0.40 of ±1 · agreement/±1 · 一致度 30%)

What's voting for this regime哪些指标在为此周期投票

growth · copper vs gold增长 · 铜对黄金growth · market breadth增长 · 市场广度growth · payrolls增长 · 非农就业growth · industrial production增长 · 工业生产growth · wei_trend增长 · wei_trendinflation · energy sector通胀 · 能源板块inflation · oil通胀 · 原油inflation · inflation-winners basket通胀 · 通胀受益篮子 growth · consumer confidence trade增长 · 消费信心交易growth · small caps增长 · 小盘股growth · cyclical sectors增长 · 周期性板块inflation · sticky_cpi_direction通胀 · sticky_cpi_direction

Weakest link最薄弱环节

Watch how many S&P 500 stocks are in uptrends — of everything supporting the current call, it's the one closest to flipping sides. If it fades, the growth dial (and possibly the regime) goes with it.关注 how many S&P 500 stocks are in uptrends — 在支撑当前判断的所有因素中,它最接近翻转。若其转弱,growth 刻度(乃至周期)也会随之改变。

Does the market agree with the regime?市场是否认同此周期?

framework and tape agree

Market internals — risk appetite gauges市场内部结构 — 风险偏好计 ?Simple ratios between two assets; each answers a question about investor mood. Direction over the last 20 days matters more than the level.两类资产之间的简单比率;每一个都回答一个关于投资者情绪的问题。过去 20 天的方向比绝对水平更重要。

gauge指标past month过去一月what it's saying它在说什么
Shoppers: wants vs needs购物者:想要 vs 必需 ?Consumer-discretionary stocks vs consumer-staples stocks. Rising = people are buying TVs and vacations, not just groceries — confidence. Falling = belt-tightening.可选消费股 vs 必需消费股。上升 = 人们在买电视和度假,不只是买杂货 — 信心。下降 = 勒紧裤带。Consumer-discretionary stocks vs consumer-staples stocks. Rising = people are buying TVs and vacations, not just groceries — confidence. Falling = belt-tightening.可选消费股 vs 必需消费股。上升 = 人们在买电视和度假,不只是买杂货 — 信心。下降 = 勒紧裤带。 -3.44% consumers cautious消费者谨慎
Tech vs utilities科技 vs 公用事业 ?The market's boldest sector vs its sleepiest. Rising = growth appetite; falling = safety-seeking.市场最大胆的板块 vs 最沉闷的板块。上升 = 增长偏好;下降 = 寻求安全。The market's boldest sector vs its sleepiest. Rising = growth appetite; falling = safety-seeking.市场最大胆的板块 vs 最沉闷的板块。上升 = 增长偏好;下降 = 寻求安全。 -9.00% safety-seeking寻求安全
Junk bonds vs quality bonds垃圾债 vs 优质债 ?Risky-company bonds vs blue-chip bonds. Rising = credit investors relaxed; falling = they're getting picky — often an early warning.高风险公司债 vs 蓝筹债。上升 = 信用投资者放松;下降 = 他们开始挑剔 — 往往是早期预警。Risky-company bonds vs blue-chip bonds. Rising = credit investors relaxed; falling = they're getting picky — often an early warning.高风险公司债 vs 蓝筹债。上升 = 信用投资者放松;下降 = 他们开始挑剔 — 往往是早期预警。 +1.30% credit relaxed信用放松
Daring vs defensive stocks进取股 vs 防御股 ?The most volatile S&P stocks vs the calmest. The purest read on whether fund managers are playing offense or defense.标普中波动最大的股票 vs 最平稳的股票。最纯粹地反映基金经理在打进攻还是防守。The most volatile S&P stocks vs the calmest. The purest read on whether fund managers are playing offense or defense.标普中波动最大的股票 vs 最平稳的股票。最纯粹地反映基金经理在打进攻还是防守。 -13.66% playing defense打防守
Panic gauge (now vs later)恐慌指标(现在 vs 之后) ?Near-term fear vs 3-month fear. Rising toward 1.0 = stress building right now; comfortably below 0.9 = calm.近期恐慌 vs 3个月恐慌。升向1.0 = 压力正在累积;稳稳低于0.9 = 平静。Near-term fear vs 3-month fear. Rising toward 1.0 = stress building right now; comfortably below 0.9 = calm.近期恐慌 vs 3个月恐慌。升向1.0 = 压力正在累积;稳稳低于0.9 = 平静。 +4.54% near-term stress building近期压力累积
Copper vs gold铜 vs 黄金 ?The economist's metal vs the doomsday metal. Rising = bets on real economic activity; falling = safety-seeking. Historically leads bond yields.经济学家的金属 vs 末日金属。上升 = 押注真实经济活动;下降 = 寻求安全。历史上领先债券收益率。The economist's metal vs the doomsday metal. Rising = bets on real economic activity; falling = safety-seeking. Historically leads bond yields.经济学家的金属 vs 末日金属。上升 = 押注真实经济活动;下降 = 寻求安全。历史上领先债券收益率。 +4.02% growth optimism增长乐观

US equity — size & style美股 — 规模与风格 ?Is the advance broad or narrow? Small/mid caps vs the S&P 500; growth vs value style rotation. Direction over the last 20 trading days.上涨是广泛还是狭窄?小/中盘对标普500;成长对价值的风格轮动。看过去20个交易日的方向。

lens维度past month过去一月what it's saying它在说什么
Small caps vs large小盘对大盘 ?Russell 2000 vs S&P 500 (IWM/SPY)罗素2000 对 标普500 (IWM/SPY)Russell 2000 vs S&P 500 (IWM/SPY)罗素2000 对 标普500 (IWM/SPY) -1.66% large-cap-led — narrowing participation大盘主导 — 参与度收窄
Mid caps vs large中盘对大盘 ?S&P MidCap 400 vs S&P 500 (IJH/SPY)标普中盘400 对 标普500 (IJH/SPY)S&P MidCap 400 vs S&P 500 (IJH/SPY)标普中盘400 对 标普500 (IJH/SPY) -1.19% mega-cap-led — narrowing超大盘主导 — 收窄
Growth vs value成长对价值 ?Russell 1000 Growth vs Value (IWF/IWD). Style rotation: growth tends to lead in disinflation/slowdowns, value in reflation.罗素1000 成长 对 价值 (IWF/IWD)。风格轮动:成长在去通胀/放缓中领先,价值在再通胀中领先。Russell 1000 Growth vs Value (IWF/IWD). Style rotation: growth tends to lead in disinflation/slowdowns, value in reflation.罗素1000 成长 对 价值 (IWF/IWD)。风格轮动:成长在去通胀/放缓中领先,价值在再通胀中领先。 -3.24% value leadership价值领先

Small-cap participation小盘参与度: 69% of S&P 600 vs的标普600 对 62% for the S&P 500的标普500small caps participating MORE than large caps — healthy, broad-based tape小盘参与度高于大盘 — 健康、广泛的盘面.

🐳 Accumulation watch — sector ETFs增持监测 — 板块 ETF ?Each sector SPDR's top weights, with the part of the weight change beyond what price alone explains ('active'). On passive ETFs this is index reconstitution / float-weight flow, not manager conviction. Uncalibrated until more snapshots accrue.每只板块 SPDR 的主要权重,以及权重变动中超出价格本身所能解释的部分('主动')。在被动 ETF 上这是指数再平衡/流通权重资金流,而非经理人信念。在积累更多快照前未经校准。

stock个股active Δwt主动权重Δest. flow估算资金流technical技术面
ABBV XLV -0.05pp −$20M BOTTOMING筑底中
WELL XLRE +0.03pp +$3M BUY ZONE买入区
CL XLP -0.03pp −$4M BOTTOMING筑底中
PLD XLRE +0.03pp +$2M UPTREND上涨趋势
EOG XLE -0.03pp −$10M UNCONFIRMED TURN未确认转向
IRM XLRE +0.02pp +$2M UNCONFIRMED TURN未确认转向
SPG XLRE +0.02pp +$2M BOTTOMING筑底中
ABT XLV -0.02pp −$8M BUY ZONE买入区
CCI XLRE +0.02pp +$2M NEARING A LOW接近低点
EQIX XLRE +0.02pp +$1M NEARING A LOW接近低点
LLY XLV +0.01pp +$6M BOTTOMING筑底中
FCX XLB -0.01pp −$1M UNCONFIRMED TURN未确认转向

Star fund managers' real moves & ETF money flows明星基金经理的真实动作与 ETF 资金流 ?Daily holdings of watchlist funds (ARK etc.) with mechanical flow stripped out, plus daily money in/out of each sector ETF. History builds from June 2026.观察名单基金(ARK 等)的每日持仓(已剔除机械性资金流),以及每个板块 ETF 的每日资金进出。历史自 2026 年 6 月起累积。

fund基金stock个股sector板块weight权重conviction Δwt信念权重Δtechnical技术面
MARS SPCX Space Exploration Technologies Corp SpaceSpace 21.41% +21.41pp
MEME WULF Terawulf Inc Meme / RetailMeme / Retail 5.55% +5.55pp
BUG CRWD Crowdstrike Holdings Inc - A Information Technology信息技术 7.21% +5.39pp NEARING A HIGH接近高点
MEME ALAB Astera Labs Inc Meme / RetailMeme / Retail 5.34% +5.34pp
MEME COHR Coherent Corp Information Technology信息技术 5.33% +5.33pp
MEME ONDS Ondas Inc Meme / RetailMeme / Retail 5.30% +5.30pp
MEME WDC Western Digital Corp Information Technology信息技术 4.98% +4.98pp UNCONFIRMED TURN未确认转向
MEME PENG Penguin Solutions Inc Information Technology信息技术 4.94% +4.94pp
MEME CRWV Coreweave Inc Meme / RetailMeme / Retail 4.88% +4.88pp
CHAT NVDA Nvidia Corp Information Technology信息技术 7.94% +4.79pp UNCONFIRMED TURN未确认转向
MEME STX Seagate Technology Holdings Plc Information Technology信息技术 4.78% +4.78pp BOTTOMING筑底中
REMX 7610 TT Lianyou Metals Co Ltd Rare EarthRare Earth 6.98% +4.65pp
dateMaterialsCommunicationsEnergyFinancialsIndustrialsTechnologyConsumer StaplesReal EstateUtilitiesHealth CareConsumer Discretionary
2026-07-01+$8M+$499M−$24M+$346M−$128M−$195M−$22M+$64M+$91M+$106M+$57M
2026-07-06−$153M−$154M−$383M−$99M+$594M+$266M+$576M+$55M+$298M+$428M−$175M
2026-07-07+$470M+$50M+$376M
2026-07-08+$223M−$160M−$47M−$90M−$80M+$64M+$133M−$341M
2026-07-09+$141M−$55M−$23M+$177M+$82M+$64M−$25M+$24M−$10M−$32M−$170M
2026-07-10+$149M−$222M−$69M−$198M−$73M+$178M−$51M+$29M−$34M+$201M+$111M
2026-07-13−$28M+$27M−$22M
2026-07-14−$67M−$58M−$24M−$195M+$81M+$78M−$120M−$0M−$107M−$126M+$105M
2026-07-16−$5M−$10M+$45M+$1.2B−$64M−$106M−$52M+$5M+$74M+$249M+$39M
2026-07-17−$0M+$34M−$34M+$766M−$126M+$236M+$85M+$27M−$24M+$122M+$58M
Back to the dashboard返回仪表盘