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 2026-10-29.

See how AI names compare with everyone else.查看 AI 相关个股与其他个股相比如何。 ?How many AI-linked names sit above their 50-day trend versus everyone else. Display only — not a signal.有多少 AI 相关个股站上 50 日均线,对比其他个股。仅供展示,不是信号。

AI-linked names lagging while the rest holds upAI 相关个股落后,非 AI 板块相对支撑

AI-linked names above their 50-day trendAI 相关个股站上 50 日均线 37%
Everyone else其他个股 62%
25 pts wider for the rest 25 个百分点差距,其他领先
71 AI-linked names out of 518 tracked 518 只跟踪个股中有 71 只 AI 相关
Watch: the AI buildout recycles capital among related names. If stocks start moving together again, the calm can break quickly — watch, don't chase. 注意:AI 基础设施建设在相关个股间循环资金。若股票重新同步波动,表面平静可能迅速打破,保持观察而非追高。

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。

DIVERSIFIED

the 6 markets are moving largely independently (correlation in the bottom 28% of its 5y range); separate views are genuinely separate bets.

absorption ratio (PC1 variance share)吸收比率(PC1 方差占比) — 0.343 · 28th 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: Crypto, US, Commodities

US0.49
Crypto0.5
China0.21
HK0.32
Commodities0.49
Dollar0.33

Most-correlated pairs相关性最高的配对

US ↔ Commodities0.5

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 0.36 0.02 0.03 0.50 0.24
Crypto 0.36 1.00 0.10 0.28 0.25 0.36
China 0.02 0.10 1.00 0.40 0.13 -0.11
HK 0.03 0.28 0.40 1.00 0.20 -0.01
Commodities 0.50 0.25 0.13 0.20 1.00 0.16
Dollar 0.24 0.36 -0.11 -0.01 0.16 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 0.471). Diversification ratio 1.67.

market市场 EW wt权重IV逆波ERCEW riskEW风险
US 17% 17% 14% 12%
Crypto 17% 6% 6% 36%
China 17% 11% 12% 14%
HK 17% 12% 13% 12%
Commodities 17% 9% 8% 24%
Dollar 17% 45% 47% 3%

Diversification ratio分散化比率: EW 1.59 · ERC 1.67 (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 (+0.13 of ±1 · agreement/±1 · 一致度 8%)

Inflation pressure:通胀压力: RISING上行 (+0.28 of ±1 · agreement/±1 · 一致度 19%)

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inflation · sticky_cpi_direction通胀 · sticky_cpi_direction growth · consumer confidence trade增长 · 消费信心交易growth · 2-yr yield增长 · 2年期收益率growth · cyclical sectors增长 · 周期性板块inflation · long-run inflation expectations通胀 · 长期通胀预期inflation · TIPS spread通胀 · TIPS 利差

Weakest link最薄弱环节

Watch the copper-vs-gold price trend (a classic growth-expectations gauge) — 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 the copper-vs-gold price trend (a classic growth-expectations gauge) — 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?

tape disagrees with framework-preferred sectors — treat as a transition signal

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。 -2.72% 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。 -12.24% 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。 -1.24% credit getting picky信用趋于挑剔
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。 -12.71% 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。 +0.66% 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。 +5.92% 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) +1.08% small caps leading — broadening, risk-on小盘领先 — 扩散、风险偏好
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) +1.35% mid caps leading — broadening中盘领先 — 扩散
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。 -8.30% value leadership价值领先

Small-cap participation小盘参与度: 46% of S&P 600 vs的标普600 对 59% for the S&P 500的标普500 — small caps lagging large caps — narrow, mega-cap-led advance (more fragile)小盘落后于大盘 — 狭窄、由超大盘主导的上涨(更脆弱).

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
PG XLP -0.04pp −$7M NEARING A HIGH接近高点
ABBV XLV -0.04pp −$20M NEARING A HIGH接近高点
WELL XLRE +0.04pp +$3M UNCONFIRMED TURN未确认转向
META XLC +0.03pp +$8M NEARING A LOW接近低点 ✅
EOG XLE -0.03pp −$12M UPTREND上涨趋势
PLD XLRE +0.03pp +$2M DOWNTREND下跌趋势
AMT XLRE +0.03pp +$2M BOTTOMING筑底中 ✅
LOW XLY -0.02pp −$5M UPTREND上涨趋势
CL XLP -0.02pp −$3M UPTREND上涨趋势
PSA XLRE +0.02pp +$2M UPTREND上涨趋势 ✅
O XLRE +0.02pp +$2M UNCONFIRMED TURN未确认转向
VTR XLRE +0.02pp +$2M 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
UFO SPCX Space Exploration Technologies Corp SpaceSpace 15.93% +10.75pp —
MEME MRNA Moderna Inc Health Care医疗保健 9.04% +9.04pp BOTTOMING筑底中 ✅
MEME APLD Applied Digital Corp Meme / Retail迷因股/散户 8.97% +8.97pp —
EMET GMEXICOB MM Grupo Mexico Sab De Cv Copper / ElectrificationCopper / Electrification 8.11% +8.11pp —
BETZ ALWN GA Allwyn Ag Sports BettingSports Betting 11.60% +7.93pp —
SILJ CDE Coeur Mining Inc. Materials原材料 10.72% +7.69pp —
CTEC TT Trane Technologies Plc Industrials工业 7.00% +7.00pp UNCONFIRMED TURN未确认转向
WGMI CRWV Coreweave, Inc. Bitcoin MinersBitcoin Miners 7.14% +6.29pp —
PSI TXN Texas Instruments Inc Information Technology信息技术 6.25% +6.25pp NEARING A HIGH接近高点
CTEC ETN Eaton Corp Plc Industrials工业 6.19% +6.19pp DOWNTREND下跌趋势
CTEC GEV Ge Vernova Inc Industrials工业 6.12% +6.12pp DOWNTREND下跌趋势
WGMI NBIS Nebius Group N.V. Bitcoin MinersBitcoin Miners 8.07% +6.06pp —
dateMaterialsCommunicationsEnergyFinancialsIndustrialsTechnologyConsumer StaplesReal EstateUtilitiesHealth CareConsumer Discretionary
2026-10-01−$34M+$555M−$164M−$1.0B+$26M+$282M−$233M−$17M+$642M−$101M−$81M
2026-10-02−$49M−$121M+$330M−$13M+$204M−$39M+$47M−$42M+$379M+$93M−$16M
2026-10-05−$12M−$346M+$15M−$202M+$332M+$135M+$16M−$1M+$56M+$41M+$49M
2026-10-06+$8M+$144M+$176M+$669M+$292M+$977M−$37M+$38M−$98M−$0M+$79M
2026-10-07−$4M+$630M+$119M−$666M+$7M+$142M+$73M+$44M+$318M−$86M+$82M
2026-10-13+$68M+$242M+$548M+$733M−$260M+$261M+$825M−$103M+$385M+$223M−$78M
2026-10-19−$94M+$87M+$338M+$153M−$92M−$396M−$546M+$71M−$275M+$621M−$419M
2026-10-20−$124M−$115M+$227M−$455M−$25M+$474M+$197M+$30M+$37M+$406M−$195M
2026-10-21−$25M+$21M+$198M−$291M+$227M−$189M−$261M+$28M−$12M+$125M+$156M
2026-10-22+$55M+$97M−$58M−$337M+$241M+$53M−$40M+$1M−$721M−$419M−$58M
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