apps2 · cross-asset alpha lenses

v2 wireframe — data-first. Catch trend changes early by watching relationships break. architecture →
01 · decoup

Decoupling radar

The flagship. 8 cross-assets (gold · oil · 10Y · real-yield · USD · NAS100 · HK50 · CNY): normalized overlay, decoupling radar, correlation matrix, gold spotlight, multi-scale tensor, snowball projection. Flashes only what newly fired.

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02 · signal

Evolve

Deep-dive any signal over time: toggle level ↔ z-score ↔ velocity ↔ decoupling residual for every asset on one axis, with tunable window. The "how did this build?" lens.

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03 · movers

Heat board

The default screen: every asset ranked by heat (decouple · extreme · velocity + bonuses), tagged FLIP / ACCEL / DECOUPLE / EXTREME / CLIMBING / VOL. "What's turning right now."

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04 · landscape

World markets

The entire world-markets landscape: pick any markets across the globe — US · Asia (Hang Seng · Nikkei · KOSPI/KOSDAQ Korea) · Europe · FX · rates · commodities · crypto — overlay them normalized vs each other AND vs SPX/NAS100 across every timeframe (90m→max), with a rolling-correlation decouple pane and a ranked decoupling board. Triangulate where any market is decoupling.

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05 · gamma

Surface

Dealer options exposure (à la VolSignals VS3D): gamma / vanna / charm by strike, a strike × expiry grid heatmap, by-expiration, and key levels (zero-γ flip, call/put walls). From Yahoo chains + Black-Scholes.

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06 · bias

Fuse

The ensemble: fuses every cross-asset signal + the dealer-gamma regime into one equity directional bias + P(up), over time vs the S&P, with a contributor breakdown and agreement read.

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07 · ratio

Ratio builder

Divide any instrument by any other — treasuries ÷ oil, gold ÷ USD, VIX ÷ VVIX — from a macro universe (rates·commodities·FX·vol·factors). The ratio plots vs its own rolling ±2σ band with percentile/z extremes and S&P/NAS100 divergence. Swap legs in a click; a preset radar ranks common pairs by how extreme they are now.

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08 · retail

Retail leverage

Is the crowd highly leveraged? Short-dated (≤7 DTE) call/put OI skew, OTM-lottery concentration, and volume/OI churn across SPY · QQQ · TSLA · NVDA — blended into a 0–100 retail-leverage index on real Massive OI.

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09 · cohorts

Cohort stretch tape & lines

EVERY instrument as its own normalized LINE on ONE chart (z-score default · fit-to-axis · %-change), grouped by who trades it — Retail (NVDA·TSLA·QQQ·IWM), Vol complex / MM-dealer proxy (VIX·VVIX·SKEW), Bankers (USD-FX·ZN·ZB·GC·CL) — vs SPX/NAS100 baselines (solid, never muted), with a CPI/M2 real-terms adjust applied before normalize. Paired with the stretch TAPE (heatmap, every instrument vs its own history, 6 coloring modes, date-column sort) and a slow-money liquidity backdrop. Every instrument individually selectable, retail P/C reference, full pan/zoom/dateline.

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10 · uoa

Unusual options + flow

Scans SPY · TSLA · NVDA · QQQ chains (Massive real-time) for any contract trading ≥24× / ≥30× its open interest — heavy NEW positioning — and fires a Telegram alert covering both tiers. Plus a real-time options-flow chart over the last full session, with the high-flow 90-min open/close windows highlighted and a toggleable SPX/NAS100 reference.

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11 · betting

Betting Markets Pulse

Exchange-wide VOLUME + OPEN INTEREST across Kalshi + Polymarket, banked every ~15 min, 24/7 (neither venue keeps the history — so ours is the alpha). A leading indicator for the prediction-market equity basket SRAD · GENI · DKNG: rising exchange vol/OI = a flow tailwind for the data-feed + sportsbook enablers; the basket overlay shows whether the equities followed, and divergence is the actionable signal. Sports-vs-politics mix, OI reconciled on a USD-notional basis, top markets across both venues.

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12 · fundamentals

QQQ · TSLA · NVDA 0DTE Volume

QQQ · TSLA · NVDA 0DTE Options Volume — 5y history + live, vs SPX / US M2 / Fed balance sheet (WALCL) / reverse repo (RRP). One continuous daily series: a 5-year deep-history seed (Polygon OSI-construct, DTE≤1) fused with automatic forward accrual from the Massive real-time chain (no venue keeps this history — so ours is the alpha). Does 0DTE speculation track liquidity, lead the S&P, or diverge? Put/call VOLUME (frenzy gauge), $-premium traded, and the per-name breakdown (QQQ · TSLA · NVDA each individually selectable — the basket is always decomposable).

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13 · fx

Currencies on one chart

v2 of /fx-macro: a thumbnail grid of every currency (DXY · majors · Asia · EM · non-USD crosses like CNY/JPY · KRW/CHF) — click tiles to OVERLAY MULTIPLE currencies on ONE normalized detail chart. z-score / %-change so different-scaled pairs (¥150 · €1.08 · ₩1350) compare on one axis. USD-strength toggle inverts USD-quote pairs so every line means "up = USD stronger". Macro overlays: SPX · NAS100 · gold · 10Y real yield.

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14 · divergence

Divergence radar (RSI & OBV)

The dedicated home of the multi-scale divergence panel. Two oscillators: price↔RSI (momentum, every instrument) and price↔OBV (On-Balance-Volume — volume-confirmed; equities & futures only, FX/indices/rates read honest N/A). 9 cells per instrument = 3 timeframes (1h·4h·1d) × 3 swing lookbacks; confluence + 6 view modes + a price+oscillator detail chart with the exact swing pair drawn. A comprehensive cross-asset universe vs SPX/NAS100.

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15 · inflation

Real-terms & M2-adjusted stretch

The cohorts "every instrument vs its own history" LINE chart, standalone, with one headline superpower: Adjust for inflation or money supply. Reprice every ticker (and the SPX/NAS100 baselines) into real terms — ÷CPI (purchasing power: did it hold its value?) or ÷M2 (did it beat money printing?), applied BEFORE the z-score / fit / %-change normalize. Every instrument individually selectable, SPX/NAS baselines solid & never muted, retail P/C reference, full pan/zoom/dateline. Lines only — a focused real-vs-real comparison view.

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16 · sectors

Sector rotation — hot/cold tape & lines

Every major sector on ONE chart: 11 GICS SPDRs + 15 thematic baskets — Defense/Military · Quantum · Bitcoin · Software · Rare Earth · Space · Semis · AI/Robotics · Clean Energy · Uranium · Gold Miners · Biotech · Cybersecurity · Homebuilders · Transportation. The mandatory tape+line pair: a normalized LINE chart (all 26 sectors, impulse-z default · fit · %, CPI/M2 real-terms adjust, SPX/NAS100 baselines solid & never muted) paired with a HOT/COLD stretch TAPE (heatmap — red = hot/stretched, blue = cold/washed-out; the mandatory-4 coloring modes: own history · cross-sectional rank · vs SPX · vs NAS100; date-column sort). Click any sector to drill into its constituents as individually-selectable lines — a basket is never an averaged line. Upgrades v1 /apps/sectors.

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17 · crypto

Coin Screener — hot/cold tape & divergence

The v1 Coin Screener, re-skinned to apps2: top-100 coins by market cap with momentum · volume-spike · RSI · pattern-detection filters and presets, across four views — sortable table, pattern grid thumbnails, compare sparklines (5y/1y/1q/1m), and the signature divergence matrix (1h/2h/4h/D × tight·std·wide·very-wide RSI/OBV divergence, 2h/4h aggregated from hourly) with an interactive detail chart + trendlines + Pine export. Topped with the apps2 tape+line pair: a normalized LINE chart (top coins, impulse-z default · fit · %, BTC/ETH baselines) paired with a HOT/COLD stretch TAPE (own history · cross-sectional rank · vs BTC · vs ETH · date-column sort). Reads the /apps/crypto per-ticker archive in place. Upgrades v1 /apps/crypto.

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18 · stocks

Stock Screener — themes, RSI, patterns, P/E

The v1 Stock Screener, re-skinned to apps2: ~390 names across US + Korea/China/HK/Japan/Taiwan with theme + region filters, volume-spike · RSI · multi-timeframe divergence (1h·2h·4h·8h·D·W·M, RSI + OBV) · price-action pattern detection (triangles · wedges · channels · H&S · trendlines, with TradingView Pine export) across three views — sortable table (now with a trailing P/E column) · pattern grid thumbnails · 4-timeframe compare sparklines — plus curated bull/bear presets, collections, an AI-research prompt builder, and a candle detail modal. Topped with the apps2 tape+line pair: a normalized LINE chart (selectable top-N of the filtered set · impulse-z default · fit · %, SPX (SPY) / NAS100 (QQQ) baselines solid & never muted) paired with a HOT/COLD stretch TAPE (own history · cross-sectional rank · vs SPX · vs NAS100 · date-column sort). Reads the /apps/stocks per-ticker archive in place (never calls Yahoo from the browser). Upgrades v1 /apps/stocks.

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19 · pegrok

P/E ratio triangulation — 30 popular stocks

Trailing P/E line chart — legacy mega-caps, AI/chips (NVDA · TSMC · SK Hynix), consumer staples (Costco · Coke · Walmart · P&G), healthcare & growth names. Only profitable names with real P/E; loss-makers footnoted. Log-scale, SPY reference, hot/cold heatmap tape, insight rails (richest vs history · staples vs tech premium · regime shifts).

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20 · pemarcap

Historical P/E ratio + market cap

12 mega-caps — Amazon · Oracle · Apple · Micron · AMD · Nvidia · Microsoft · Cisco · Intel · Alphabet · Meta · Tesla — back to the dot-com era for relative comparison, monthly. Deep multi-order-of-magnitude data, so it defaults to LOG-scale lines (actual P/E and actual $ on the axis, not z-scores): a Historical P/E chart (~5–1600) and a Historical market cap chart ($1B–$4.7T), each stock its own selectable line (log · linear · z-score · fit toggle), the dot-com window (1998–2002) shaded. Each line chart is paired with its HOT/COLD stretch TAPE (heatmap — red = expensive/large vs own history, blue = cheap/small; own-history · cross-sectional rank · vs-SPX/NAS100 shown but disabled with a reason — no index P/E in the set; date-column sort). Local monthly dataset (SEC EDGAR 2007+ · curated dot-com seed ramping · price to 1984); coverage & gaps stated honestly.

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21 · oil

South Korea oil & gas

What flows into Korea and what it costs. Crude imports, refinery intake, the reserve level (crude stocks vs the ~146 Mbbl KNOC strategic reserve + days-of-cover), and LNG imports · gas demand · gas stocks — Korea imports all its gas as LNG (pipeline imports = 0). Paired with daily prices (Brent · WTI · Henry Hub). Import volumes + reserves are monthly (JODI World Database — the finest FREE granularity; daily tanker-arrival volume is paid); prices are daily (FRED). Every series its own selectable line with the full chart control set; coverage & granularity stated honestly.

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22 · insight

Computed-reads feed

The cross-app "what's firing right now" feed. A 2×/day cron reads ONLY our own recorded stores (the prices spine · signal · bias · gamma · cohorts · divergence · 0DTE flow) and surfaces the six non-eyeballable computed reads: percentile extremes (a metric at the edge of its own history), correlation flips (a pair whose rolling corr just changed sign), decouplings (a normally-correlated pair at an extreme-low corr percentile), divergence confluence (RSI/OBV divergences stacking across scales), lead/lag flips (a measured leader whose concurrent corr flipped), and put/call spreads (volume-P/C vs premium$-P/C gap). Ranked WITHIN each type — no fused score — every read with its own-history distribution, the date range it has been active, and a deep link into the source app. Nothing forward-looking. The feed is itself record-first.

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23 · pe

P/E ratio — 30 popular stocks

Trailing P/E line chart across 30 deliberately-mixed names — new · popular · old, for historical comparison: legacy depth (Apple · Intel · IBM · Oracle · Cisco), mega-caps (NVIDIA · Tesla · Amazon · Meta · Broadcom · Netflix · Salesforce · Adobe), semis (TSMC · SK Hynix · AMD · Micron · Qualcomm · ASML · Arm), new/quantum/AI (Palantir · Super Micro · IonQ · Rigetti · D-Wave), fintech (Coinbase · Robinhood), and private SpaceX (no P/E). Monthly, log-scale default (actual P/E on the axis), every stock its own selectable line vs the S&P 500 P/E reference (own right axis, never muted), R-UI-29 end labels, click-to-isolate with an own-history 10–90% band. Paired with the HOT/COLD stretch TAPE (own history · cross-sectional rank · vs-S&P; date-column sort) and computed relative-value insight — most-stretched hero, cross-sectional rank (own-history percentile/z), and the trailing↔forward gap (growth priced-in). A P/E-focused sibling of pemarcap; deep history reused from it, extended via SEC EDGAR (10-K/20-F/IFRS). Loss-makers & SpaceX carry no line (honest gaps, never faked).

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Indicators · TradingView (Pine v6)

pine v6 · ↓ .txt

M2 / Inflation Lens

Put it on any chart. Weight the ticker by M2 or inflation three ways (ratio · real-deflated · relative-perf), re-adjust price into real / M2-deflated terms, time-offset M2/CPI to test whether it LEADS price, and an accel/decel oscillator of M2 & inflation. Click to download the Pine v6 source as a .txt — paste into TradingView's Pine Editor.

↓ download .txt
pine v6 · ↓ .txt

M2 Nowcast / Net-Liquidity Lead

Know M2's DIRECTION before the lagged monthly print. Overlays the faster-releasing leads — weekly M2 (WM2NS), Fed net liquidity (WALCL − TGA − RRP, unit-scaled to billions), and H.8 bank deposits (~80-90% of M2) — each normalized (z-score / %-from-start) and time-offsettable so you can slide a lead forward to front-run the monthly M2 (M2SL) reference line. A nowcast up/down read shades the background GREEN when the leads are rising / RED when falling. Click to download the Pine v6 source as a .txt — paste into TradingView's Pine Editor.

↓ download .txt
apps2 · v2 wireframe · data: Yahoo + FRED (no keys) · shared style: shared/wire.css · plan: ARCHITECTURE.md