What if a family office's swap book implodes, Archegos-style?
A concentrated total-return-swap book blowing up saddles prime brokers with block-sale losses across crowded names — the clean read is forced unwinds in the specific overcrowded longs spilling to HY and financials, with high-beta proxies down. This is Archegos (2021) almost exactly, which cost the PBs ~$10bn and tanked the swapped names. Contagion runs through prime-broker counterparty exposure and overlapping positioning. Forward angle: post-Archegos swap disclosure is tighter but synthetic leverage persists — the asymmetric tell is unusual single-name block prints, not a macro signal.
how we built this number — every step
The class rate is measured from our dated, sourced event library (decade-normalized Poisson — the full table is public at base_rates.json). The variant’s share within its class is the analyst’s editorial call, published so you can audit it. A wider range means thinner precedent. Full recipe: methodology · scored at Reality Check.
The butterfly cascade
How this trigger trickles across markets, left → right — the root shock, its first‑order moves, then the ripple effects. Drag any node; tap a market for its real price history.
Resolution timeline — how this probability is moving
Our model's odds (gold) over time vs the crowd's (Polymarket, blue), from the past toward the 6–18 months horizon. Each dot is a real macro event that nudged the probability — green pushed it up, red pushed it down. Tap a dot for the source. The gold path is an illustrative reconstruction anchored to today's estimate — real dated events, not a live re-estimate history.
What it would mean
If this plays out, it is a risk-off shock. A concentrated total-return-swap book at a single family office blows up, saddling prime brokers with Archegos-style losses across crowded names. The trigger decomposes into signed root‑shocks — Credit spreads ▲ · Financial conditions ▲ · Risk appetite ▼ — which propagate through our causal graph to the markets below.
If it happens — the markets it would move
Biggest moves first. Projected moves are cascade-model priors; hist A–B% = what comparable past events actually did (measured abnormal returns), and model prior · unmeasured marks markets with no analogue backing yet. Tap any market for its price history.
| Market | Class | Projected move | |
|---|---|---|---|
| 1 | MicroStrategy MSTRon Hyperliquid 📈 chart | Equity | ▼ -2.9% hist -5.55–+0.39% · other way +27.47% (n=12) |
| 2 | Solana SOLon Hyperliquid 📈 chart | Crypto | ▼ -2.6% hist -13.59–+0.33% · other way -1.04% (n=11) |
| 3 | Nasdaq 100 NDXon Hyperliquid 📈 chart | Index | ▼ -1.9% hist -1.68–-0.4% · other way +0.06% (n=12) |
| 4 | Ether ETHon Hyperliquid 📈 chart | Crypto | ▼ -1.8% hist -9.8–+1.57% · other way +4.87% (n=11) |
| 5 | Hyperliquid (HYPE) HYPEon Hyperliquid | Crypto | ▼ -1.8% model prior · unmeasured |
| 6 | Bitcoin BTCon Hyperliquid 📈 chart | Crypto | ▼ -1.6% hist -4.73–+0.9% · other way +6.05% (n=11) |
| 7 | High-yield credit HYG 📈 chart | Rate | ▼ -1.5% hist -1.03–-0.29% · other way -0.28% (n=12) |
| 8 | Volatility (VIX) VIXon Hyperliquid 📈 chart | Vol | ▲ +1.5% hist -1.4–+4.78% · other way -0.58% (n=12) |
| 9 | S&P 500 SPXon Hyperliquid 📈 chart | Index | ▼ -1.2% hist -0.93–-0.37% · other way +0.04% (n=12) |
| 10 | Tech sector XLK 📈 chart | Equity | ▼ -1.3% hist -0.9–-0.26% · other way +0.09% (n=12) |
| 11 | Coinbase COINon Hyperliquid 📈 chart | Equity | ▼ -1.1% hist -4.51–+1.2% · other way +21.75% (n=11) |
| 12 | Financials XLF 📈 chart | Equity | ▼ -1.0% hist -0.56–-0.26% · other way +0.01% (n=12) |
| 13 | JPMorgan JPM 📈 chart | Equity | ▼ -0.8% hist -0.78–+0.33% · other way +2.16% (n=12) |
| 14 | Semiconductors SMHon Hyperliquid 📈 chart | Equity | ▼ -0.8% hist -0.7–+0.88% · other way +2.75% (n=12) |
Probable recommendation
Why we may diverge from history
Trust the cascade short on INTC: +4.8% is regime-contaminated by the March-2023 SVB bounce and driven by INTC's idiosyncratic foundry turnaround — an Archegos-style swap unwind dumps crowded names, history won't repeat.
Historical precedent — what analogous events actually did
Across 40 analogous events (overlap‑weighted), as abnormal returns — market beta stripped, so it's the event's own effect, not the market backdrop. Shown at 20 days (persistent) and 5 days (immediate); ↺ fades = the two horizons disagree. Confidence = consistency × sample × significance.
| Asset | History says | Abnormal (20d · 5d) | Hit | n | Confidence | vs cascade |
|---|---|---|---|---|---|---|
| SOL SOL | SHORT | -10.0% · 5d -7.8% | 83% | 20 | 0.42 | ✓ matches cascade |
| ETH ETH | SHORT | -7.8% · 5d -5.6% | 70% | 20 | 0.27 | ✓ matches cascade |
| High-yield credit HYG | SHORT | -0.3% · 5d +0.0% ↺ fades | 66% | 35 | 0.26 | ✓ matches cascade |
| MSTR MSTR | SHORT | -3.8% · 5d -3.3% | 65% | 37 | 0.25 | ✓ matches cascade |
| Gold XAU | LONG | +0.7% · 5d +0.2% | 61% | 37 | 0.20 | ✓ matches cascade |
| SMH SMH | LONG | +1.2% · 5d -0.9% ↺ fades | 60% | 37 | 0.16 | ⚠ differs |
| Bitcoin BTC | SHORT | -3.6% · 5d -2.1% | 60% | 21 | 0.15 | ✓ matches cascade |
| COIN COIN | SHORT | -3.7% · 5d +1.5% ↺ fades | 57% | 20 | 0.12 | ✓ matches cascade |
| ASML ASML | SHORT | -2.2% · 5d -3.0% | 58% | 37 | 0.12 | ✓ matches cascade |
| XLF XLF | LONG | +0.1% · 5d -1.0% ↺ fades | 56% | 37 | 0.11 | ⚠ differs |
| AVGO AVGO | LONG | +2.2% · 5d -0.8% ↺ fades | 56% | 29 | 0.11 | ⚠ differs |
| QCOM QCOM | SHORT | -2.3% · 5d -3.0% | 58% | 38 | 0.10 | ✓ matches cascade |
| USDJPY USDJPY | LONG | +0.0% · 5d -0.2% ↺ fades | 54% | 37 | 0.08 | ⚠ differs |
| NDX NDX | SHORT | -0.6% · 5d -1.7% | 54% | 39 | 0.07 | ✓ matches cascade |
Why this probability
Archegos-style family-office blowups recur every few years; concentration risk persists, 6-18mo window. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.