What if autonomous AI trading agents interact in ways that destabilize prices faster than controls can intervene?
Autonomous AI trading agents interact in unforeseen ways, generating an emergent feedback loop that destabilizes prices faster than human risk controls can intervene.
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 1–3 years 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. Autonomous AI trading agents interact in unforeseen ways, generating an emergent feedback loop that destabilizes prices faster than human risk controls can intervene. The trigger decomposes into signed root‑shocks — Volatility (VIX) ▲ · Financial conditions ▲ · Risk appetite ▼ · Risk-parity deleveraging ▲ — 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 | Nasdaq 100 NDXon Hyperliquid 📈 chart | Index | ▼ -1.0% hist -0.65–-0.38% · other way +0.06% (n=12) |
| 2 | Volatility (VIX) VIXon Hyperliquid 📈 chart | Vol | ▲ +1.0% hist -0.33–+0.76% · other way -0.58% (n=12) |
| 3 | MicroStrategy MSTRon Hyperliquid 📈 chart | Equity | ▼ -0.9% hist -3.23–+0.61% · other way +27.47% (n=12) |
| 4 | Solana SOLon Hyperliquid 📈 chart | Crypto | ▼ -0.8% hist -11.85–+4.82% · other way -1.04% (n=11) |
| 5 | Ether ETHon Hyperliquid 📈 chart | Crypto | ▼ -0.7% hist -5.43–+2.1% · other way +4.87% (n=11) |
| 6 | Hyperliquid (HYPE) HYPEon Hyperliquid | Crypto | ▼ -0.6% model prior · unmeasured |
| 7 | Tech sector XLK 📈 chart | Equity | ▼ -0.7% hist -0.68–+0.37% · other way +0.09% (n=12) |
| 8 | S&P 500 SPXon Hyperliquid 📈 chart | Index | ▼ -0.5% hist -0.6–-0.06% · other way +0.04% (n=12) |
| 9 | Bitcoin BTCon Hyperliquid 📈 chart | Crypto | ▼ -0.5% hist -1.26–+1.44% · other way +6.05% (n=11) |
| 10 | Semiconductors SMHon Hyperliquid 📈 chart | Equity | ▼ -0.5% hist -0.72–+1.66% · other way +2.75% (n=12) |
| 11 | High-yield credit HYG 📈 chart | Rate | ▼ -0.3% hist -0.62–+0.04% · other way -0.28% (n=12) |
| 12 | Nvidia NVDAon Hyperliquid 📈 chart | Equity | ▼ -0.3% hist -1.42–+2.43% · other way +3.35% (n=12) |
| 13 | Coinbase COINon Hyperliquid 📈 chart | Equity | ▼ -0.3% hist -1.31–+1.26% · other way +21.75% (n=11) |
| 14 | AMD AMDon Hyperliquid 📈 chart | Equity | ▼ -0.3% hist -0.62–+0.85% · other way -1.07% (n=12) |
Probable recommendation
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 | -11.0% · 5d -11.0% | 87% | 9 | 0.44 | ✓ matches cascade |
| AVGO AVGO | LONG | +4.8% · 5d +0.1% | 71% | 27 | 0.41 | ⚠ differs |
| ETH ETH | SHORT | -4.9% · 5d -5.4% | 73% | 13 | 0.33 | ✓ matches cascade |
| High-yield credit HYG | SHORT | -0.4% · 5d -0.3% | 63% | 34 | 0.22 | ✓ matches cascade |
| SMH SMH | LONG | +1.7% · 5d -0.2% ↺ fades | 62% | 37 | 0.21 | ⚠ differs |
| JPM JPM | SHORT | -0.8% · 5d -1.5% | 61% | 40 | 0.20 | ✓ matches cascade |
| MSTR MSTR | SHORT | -2.5% · 5d -2.9% | 62% | 37 | 0.19 | ✓ matches cascade |
| XLF XLF | SHORT | -1.3% · 5d -1.3% | 59% | 37 | 0.18 | ✓ matches cascade |
| COIN COIN | LONG | +1.6% · 5d +5.7% | 60% | 9 | 0.17 | ⚠ differs |
| Gold XAU | LONG | +1.3% · 5d +0.4% | 58% | 37 | 0.15 | · |
| Volatility VIX | SHORT | -0.7% · 5d +5.5% ↺ fades | 56% | 38 | 0.12 | ⚠ differs |
| Bitcoin BTC | LONG | +1.8% · 5d -2.8% ↺ fades | 56% | 16 | 0.10 | ⚠ differs |
| TSM TSM | LONG | +0.3% · 5d -1.4% ↺ fades | 55% | 37 | 0.08 | ⚠ differs |
| US dollar DXY | LONG | +0.3% · 5d +0.1% | 55% | 40 | 0.08 | · |