One trade, many tickers:
correlation across Hyperliquid's markets
Daily-return correlation structure across 260 Hyperliquid markets — 176 crypto perps plus 84 tokenized equities, indices, commodities and FX on the xyz deployment — grouped into 39 thematic categories. Pearson correlation of daily log returns, 180-day primary window, 60-day recency check. Data through July 2, 2026.
Executive summary
- Crypto is one trade. Between crypto categories, correlations run 0.80–0.95 (DeFi ↔ alt-L1 0.95, memecoins ↔ oracles 0.93). Thematic boundaries inside crypto explain almost none of the risk. Equities keep real sector structure by comparison.
- The most index-like alt is LINK — 0.90–0.93 daily correlation to BTC, ETH, SOL, and ADA, higher than any other cross-sector symbol pair in the study.
- Crypto and equities connect through one bridge: crypto-linked stocks. The COIN/MSTR/HOOD/CRCL basket runs 0.76 to crypto majors (0.80 in the last 60 days). Every other crypto↔equity link sits at 0.2–0.5.
- The AI narrative does not cross asset classes. Crypto-AI tokens correlate 0.85–0.89 with the rest of crypto but only 0.28 with AI semiconductors. TAO·NVDA is 0.13. "AI exposure" via tokens is crypto beta in a costume.
- BTC–gold is the correlation on the move: 0.13 over 180 days, 0.35 over the last 60 — visible in both futures data and tokenized gold (PAXG).
How tight is each basket?
Average pairwise correlation between members of the same category, 180 days. High = the label is a real basket; near zero = the label is narrative, not risk.
Three reads. First, memecoins are a real basket — 0.67 average across 23 names (kBONK·kSHIB hits 0.91); they trade as a single flow. Second, hyperscalers are not — 0.29 average, with MSFT·ORCL (0.57, the AI-capex pair) the only strong link and GOOGL·IBM at 0.08. "Big tech" is not one leg. Third, several stock labels — commodities, healthcare, meme-retail, frontier-AI names — have essentially zero internal correlation: BRENTOIL·CL (0.90) is the only real commodity pair, while COPPER·NATGAS is −0.21.
Between categories: crypto
Equal-weight category indices, 180d. Blue = positive, orange = negative; deeper = stronger.
| majors | l1-alt | eth-l2 | btc-eco | defi | perp-dex | hl-eco | sol-eco | oracles | interop | depin | crypto-ai | gaming-meta | nft-social | memecoins | politifi | privacy | legacy-alts | tokenized-gold | infra-other | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| majors | — | .89 | .82 | .70 | .90 | .81 | .48 | .74 | .87 | .70 | .77 | .83 | .83 | .69 | .84 | .68 | .77 | .88 | .40 | .80 |
| l1-alt | .89 | — | .91 | .77 | .95 | .85 | .53 | .80 | .92 | .76 | .86 | .89 | .90 | .80 | .90 | .72 | .76 | .85 | .37 | .87 |
| eth-l2 | .82 | .91 | — | .73 | .90 | .81 | .49 | .79 | .88 | .74 | .84 | .86 | .86 | .77 | .87 | .68 | .70 | .79 | .31 | .84 |
| btc-eco | .70 | .77 | .73 | — | .76 | .70 | .37 | .64 | .81 | .63 | .68 | .74 | .73 | .65 | .81 | .58 | .58 | .70 | .21 | .72 |
| defi | .90 | .95 | .90 | .76 | — | .85 | .55 | .83 | .93 | .77 | .87 | .89 | .88 | .77 | .92 | .72 | .78 | .87 | .35 | .86 |
| perp-dex | .81 | .85 | .81 | .70 | .85 | — | .57 | .77 | .85 | .69 | .79 | .81 | .80 | .66 | .84 | .67 | .68 | .78 | .33 | .82 |
| hl-eco | .48 | .53 | .49 | .37 | .55 | .57 | — | .52 | .50 | .47 | .53 | .54 | .46 | .46 | .50 | .39 | .55 | .40 | .28 | .52 |
| sol-eco | .74 | .80 | .79 | .64 | .83 | .77 | .52 | — | .80 | .69 | .77 | .80 | .76 | .67 | .78 | .66 | .68 | .73 | .33 | .80 |
| oracles | .87 | .92 | .88 | .81 | .93 | .85 | .50 | .80 | — | .72 | .84 | .88 | .87 | .74 | .93 | .69 | .73 | .84 | .34 | .84 |
| interop | .70 | .76 | .74 | .63 | .77 | .69 | .47 | .69 | .72 | — | .70 | .71 | .77 | .69 | .72 | .59 | .65 | .68 | .39 | .75 |
| depin | .77 | .86 | .84 | .68 | .87 | .79 | .53 | .77 | .84 | .70 | — | .85 | .80 | .70 | .83 | .69 | .72 | .72 | .31 | .77 |
| crypto-ai | .83 | .89 | .86 | .74 | .89 | .81 | .54 | .80 | .88 | .71 | .85 | — | .82 | .73 | .87 | .69 | .70 | .79 | .34 | .81 |
| gaming-meta | .83 | .90 | .86 | .73 | .88 | .80 | .46 | .76 | .87 | .77 | .80 | .82 | — | .79 | .84 | .69 | .70 | .80 | .33 | .83 |
| nft-social | .69 | .80 | .77 | .65 | .77 | .66 | .46 | .67 | .74 | .69 | .70 | .73 | .79 | — | .74 | .63 | .64 | .69 | .31 | .73 |
| memecoins | .84 | .90 | .87 | .81 | .92 | .84 | .50 | .78 | .93 | .72 | .83 | .87 | .84 | .74 | — | .70 | .71 | .81 | .28 | .82 |
| politifi | .68 | .72 | .68 | .58 | .72 | .67 | .39 | .66 | .69 | .59 | .69 | .69 | .69 | .63 | .70 | — | .59 | .65 | .29 | .67 |
| privacy | .77 | .76 | .70 | .58 | .78 | .68 | .55 | .68 | .73 | .65 | .72 | .70 | .70 | .64 | .71 | .59 | — | .69 | .36 | .71 |
| legacy-alts | .88 | .85 | .79 | .70 | .87 | .78 | .40 | .73 | .84 | .68 | .72 | .79 | .80 | .69 | .81 | .65 | .69 | — | .35 | .77 |
| tokenized-gold | .40 | .37 | .31 | .21 | .35 | .33 | .28 | .33 | .34 | .39 | .31 | .34 | .33 | .31 | .28 | .29 | .36 | .35 | — | .31 |
| infra-other | .80 | .87 | .84 | .72 | .86 | .82 | .52 | .80 | .84 | .75 | .77 | .81 | .83 | .73 | .82 | .67 | .71 | .77 | .31 | — |
The blob is visible at a glance. The exceptions are what matter: the Hyperliquid ecosystem (HYPE + PURR) runs 0.4–0.57 to everything else — HL trades its own cycle; politifi (TRUMP, MELANIA, WLFI) sits near 0.6; and tokenized gold (PAXG) is 0.3–0.4 against all of crypto but 0.57 to the commodities basket — it is gold, not crypto.
Between categories: equities
| memory-stocks | ai-semis | ai-hardware-net | hyperscalers | neoclouds | software | ai-frontier | crypto-equities | meme-retail | ev-space | energy-materials | healthcare | consumer | global-industrials | equity-indices | commodities | fx | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| memory-stocks | — | .60 | .45 | .20 | .46 | -.15 | .24 | .13 | .11 | .33 | .49 | .09 | -.24 | .52 | .69 | .12 | .15 |
| ai-semis | .60 | — | .58 | .41 | .48 | .05 | .22 | .36 | .33 | .59 | .60 | .29 | .01 | .12 | .85 | .11 | .26 |
| ai-hardware-net | .45 | .58 | — | .22 | .33 | .10 | .06 | .20 | .30 | .31 | .44 | .20 | -.03 | .19 | .55 | .11 | .09 |
| hyperscalers | .20 | .41 | .22 | — | .44 | .62 | .18 | .56 | .41 | .51 | .36 | .33 | .46 | .16 | .46 | .12 | .30 |
| neoclouds | .46 | .48 | .33 | .44 | — | .16 | .16 | .40 | .18 | .41 | .55 | .21 | .03 | .11 | .48 | .13 | .13 |
| software | -.15 | .05 | .10 | .62 | .16 | — | .04 | .49 | .32 | .27 | .12 | .22 | .35 | -.04 | .09 | .20 | .15 |
| ai-frontier | .24 | .22 | .06 | .18 | .16 | .04 | — | .01 | .05 | .13 | .14 | .06 | -.14 | .15 | .19 | .00 | .00 |
| crypto-equities | .13 | .36 | .20 | .56 | .40 | .49 | .01 | — | .18 | .59 | .40 | .37 | .30 | -.04 | .43 | .18 | .27 |
| meme-retail | .11 | .33 | .30 | .41 | .18 | .32 | .05 | .18 | — | .34 | .21 | .30 | .15 | .03 | .30 | .05 | .13 |
| ev-space | .33 | .59 | .31 | .51 | .41 | .27 | .13 | .59 | .34 | — | .56 | .37 | .20 | .06 | .60 | .17 | .33 |
| energy-materials | .49 | .60 | .44 | .36 | .55 | .12 | .14 | .40 | .21 | .56 | — | .26 | .03 | .14 | .63 | .32 | .28 |
| healthcare | .09 | .29 | .20 | .33 | .21 | .22 | .06 | .37 | .30 | .37 | .26 | — | .14 | -.14 | .32 | .02 | .15 |
| consumer | -.24 | .01 | -.03 | .46 | .03 | .35 | -.14 | .30 | .15 | .20 | .03 | .14 | — | -.09 | .08 | .13 | .13 |
| global-industrials | .52 | .12 | .19 | .16 | .11 | -.04 | .15 | -.04 | .03 | .06 | .14 | -.14 | -.09 | — | .20 | .10 | -.02 |
| equity-indices | .69 | .85 | .55 | .46 | .48 | .09 | .19 | .43 | .30 | .60 | .63 | .32 | .08 | .20 | — | .15 | .44 |
| commodities | .12 | .11 | .11 | .12 | .13 | .20 | .00 | .18 | .05 | .17 | .32 | .02 | .13 | .10 | .15 | — | .18 |
| fx | .15 | .26 | .09 | .30 | .13 | .15 | .00 | .27 | .13 | .33 | .28 | .15 | .13 | -.02 | .44 | .18 | — |
AI semiconductors correlate 0.85 with the equity indices basket — semis effectively are the index now (SMH·SP500 is 0.78 at the symbol level). The memory-stock trade is a semis trade (0.60 to ai-semis), not a big-tech trade (0.20 to hyperscalers). The two neocloud names, CoreWeave and Nebius, form the tightest stock pair in the study outside indices and oil (0.79), each carrying ~0.5 NVDA beta.
Where crypto meets equities
| memory-stocks | ai-semis | ai-hardware-net | hyperscalers | neoclouds | software | ai-frontier | crypto-equities | meme-retail | ev-space | energy-materials | healthcare | consumer | global-industrials | equity-indices | commodities | fx | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| majors | .14 | .33 | .21 | .44 | .42 | .38 | .12 | .76 | .23 | .45 | .32 | .32 | .24 | -.06 | .38 | .14 | .20 |
| defi | .19 | .31 | .19 | .33 | .33 | .27 | .09 | .64 | .25 | .39 | .25 | .29 | .18 | -.01 | .37 | .14 | .15 |
| memecoins | .15 | .24 | .17 | .35 | .33 | .30 | .09 | .58 | .26 | .34 | .16 | .26 | .18 | -.01 | .29 | .14 | .12 |
| crypto-ai | .21 | .28 | .26 | .29 | .29 | .26 | .09 | .56 | .22 | .32 | .20 | .20 | .14 | .05 | .34 | .17 | .10 |
| hl-eco | .22 | .23 | .16 | .18 | .31 | .09 | .08 | .32 | .08 | .18 | .16 | .17 | .04 | .00 | .30 | .02 | .08 |
| politifi | .14 | .20 | .13 | .23 | .23 | .26 | .09 | .44 | .13 | .26 | .17 | .13 | .13 | .03 | .23 | .20 | .06 |
| tokenized-gold | .23 | .27 | .18 | .23 | .23 | .15 | .05 | .32 | .14 | .34 | .38 | .19 | .17 | .09 | .39 | .57 | .36 |
Rows: crypto categories. Columns: equity categories. 180d, overlapping trading days only (~124 obs).
The pairs that matter
| Pair | 180d | 60d | Read |
|---|---|---|---|
| MSTR · BTC | .79 | .77 | The equity BTC proxy — as tight as an altcoin |
| COIN · BTC | .73 | .74 | Exchange equity, nearly as coupled |
| PURRDAT · HYPE | .82 | .82 | HYPE treasury company vs HYPE — purest proxy, thin history |
| STRC · MSTR | .58 | .70 | Strategy's preferred converging toward the common |
| CRCL · BTC | .55 | .56 | Stablecoin issuer — only half a BTC trade |
| BTC · SP500 | .48 | .40 | Moderate and stable |
| BTC · GOLD | .13 | .35 | Tripled in the recent window |
| BTC · PAXG | .39 | .52 | Same signal on 7-day-a-week data |
| TAO · NVDA | .13 | .37 | The AI narrative does not cross asset classes |
| RENDER · NVDA | .29 | .26 | Same story |
| CRWV · NVDA | .51 | .50 | Neoclouds carry real NVDA beta |
| GME · DOGE | .16 | .06 | Meme stock ↔ meme coin link is a myth |
PAXG·GOLD at 0.76 is the internal sanity check — the same asset measured on a 7-day-a-week calendar against a 5-day one.
Focus baskets
Memory stocks
| DRAM | KIOXIA | MU | SKHX | SMSN | SNDK | WDC | |
|---|---|---|---|---|---|---|---|
| DRAM | — | .27 | .77 | .45 | .39 | .66 | .56 |
| KIOXIA | .27 | — | .25 | .68 | .67 | .23 | .20 |
| MU | .77 | .25 | — | .41 | .31 | .78 | .71 |
| SKHX | .45 | .68 | .41 | — | .84 | .31 | .36 |
| SMSN | .39 | .67 | .31 | .84 | — | .21 | .30 |
| SNDK | .66 | .23 | .78 | .31 | .21 | — | .68 |
| WDC | .56 | .20 | .71 | .36 | .30 | .68 | — |
The US cluster (MU, WDC, SNDK) is coherent, and SK Hynix·Samsung is 0.84 — but Asia↔US pairs read low (KIOXIA·WDC 0.20) because Tokyo and Seoul close ~14 hours before New York. Same-date correlation structurally understates linkage for Asia names; treat those pairs as lead-lag relationships, not weak ones.
AI semiconductors
| AMAT | AMD | ARM | ASML | AVGO | CBRS | INTC | MRVL | NVDA | QCOM | TSM | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| AMAT | — | .62 | .47 | .84 | .52 | · | .54 | .57 | .45 | .40 | .70 |
| AMD | .62 | — | .60 | .61 | .51 | · | .64 | .50 | .53 | .49 | .62 |
| ARM | .47 | .60 | — | .55 | .47 | · | .42 | .53 | .47 | .41 | .55 |
| ASML | .84 | .61 | .55 | — | .54 | · | .53 | .59 | .55 | .42 | .73 |
| AVGO | .52 | .51 | .47 | .54 | — | · | .38 | .53 | .51 | .32 | .54 |
| CBRS | · | · | · | · | · | — | · | · | · | · | · |
| INTC | .54 | .64 | .42 | .53 | .38 | · | — | .39 | .37 | .46 | .43 |
| MRVL | .57 | .50 | .53 | .59 | .53 | · | .39 | — | .39 | .41 | .51 |
| NVDA | .45 | .53 | .47 | .55 | .51 | · | .37 | .39 | — | .15 | .69 |
| QCOM | .40 | .49 | .41 | .42 | .32 | · | .46 | .41 | .15 | — | .24 |
| TSM | .70 | .62 | .55 | .73 | .54 | · | .43 | .51 | .69 | .24 | — |
Hyperscalers
| AMZN | BABA | GOOGL | IBM | META | MSFT | ORCL | |
|---|---|---|---|---|---|---|---|
| AMZN | — | .29 | .56 | .20 | .54 | .37 | .20 |
| BABA | .29 | — | .35 | .14 | .33 | .12 | .24 |
| GOOGL | .56 | .35 | — | .08 | .33 | .11 | .18 |
| IBM | .20 | .14 | .08 | — | .17 | .39 | .40 |
| META | .54 | .33 | .33 | .17 | — | .23 | .23 |
| MSFT | .37 | .12 | .11 | .39 | .23 | — | .57 |
| ORCL | .20 | .24 | .18 | .40 | .23 | .57 | — |
Crypto-linked equities
| COIN | CRCL | HOOD | MSTR | PURRDAT | STRC | |
|---|---|---|---|---|---|---|
| COIN | — | .71 | .81 | .80 | · | .34 |
| CRCL | .71 | — | .57 | .56 | · | .22 |
| HOOD | .81 | .57 | — | .68 | · | .29 |
| MSTR | .80 | .56 | .68 | — | · | .58 |
| PURRDAT | · | · | · | · | — | · |
| STRC | .34 | .22 | .29 | .58 | · | — |
COIN·HOOD (0.81) is the tightest pair — two retail-flow brokerages. MSTR is the BTC leg. STRC, Strategy's preferred, correlates 0.58 with the common at 180d but 0.70 over the last 60 days — the "safer" instrument is converging toward the equity. PURRDAT, the HYPE treasury company, tracks HYPE itself at 0.82 on its short history.
Crypto AI
| 0G | AIXBT | FET | GOAT | GRIFFAIN | KAITO | RENDER | TAO | VIRTUAL | VVV | WLD | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0G | — | .40 | .42 | .46 | .32 | .36 | .46 | .39 | .50 | .33 | .33 |
| AIXBT | .40 | — | .60 | .65 | .48 | .39 | .57 | .47 | .70 | .25 | .48 |
| FET | .42 | .60 | — | .65 | .46 | .38 | .79 | .68 | .79 | .38 | .62 |
| GOAT | .46 | .65 | .65 | — | .52 | .44 | .60 | .57 | .67 | .32 | .49 |
| GRIFFAIN | .32 | .48 | .46 | .52 | — | .35 | .43 | .44 | .48 | .24 | .35 |
| KAITO | .36 | .39 | .38 | .44 | .35 | — | .36 | .40 | .44 | .25 | .29 |
| RENDER | .46 | .57 | .79 | .60 | .43 | .36 | — | .66 | .79 | .49 | .60 |
| TAO | .39 | .47 | .68 | .57 | .44 | .40 | .66 | — | .66 | .43 | .43 |
| VIRTUAL | .50 | .70 | .79 | .67 | .48 | .44 | .79 | .66 | — | .44 | .60 |
| VVV | .33 | .25 | .38 | .32 | .24 | .25 | .49 | .43 | .44 | — | .35 |
| WLD | .33 | .48 | .62 | .49 | .35 | .29 | .60 | .43 | .60 | .35 | — |
Internally coherent the way all crypto is (0.48 average) — and correlated to AI semiconductors at just 0.28 as a basket. The narrative overlap with Nvidia's supply chain does not show up in daily returns.
Is there lead-lag alpha in any of this?
Contemporaneous correlation is not a trade. So we re-ran the study as a lead-lag test: X's daily return against Y's return on its next traded day, ~280–420 observations per pair, with conditional returns after ±1σ days in X and a split-half stability check — then tested whether Hyperliquid's 24/7 perps already price each effect.
The signals that look like alpha
| X today → Y next session | lag r | t | E[Y] after X > +1σ | hit | E[Y] after X < −1σ |
|---|---|---|---|---|---|
| US memory → Asia memory | .44 | 8.2 | +3.90% | 84% | −3.60% |
| NVDA → SoftBank | .25 | 4.3 | +1.64% | 57% | −2.17% |
| NVDA → SK Hynix | .22 | 3.9 | +1.40% | 67% | −1.30% |
| BTC weekend → Monday crypto equities | .50 | 4.2 | +2.35% | — | −0.75% |
An 84% hit rate with a 7.5% conditional spread looks like a money printer. It is not — these are overnight gaps. The Asia move happens in the Seoul/Tokyo opening auction, which already reflects the US session; the Monday move in crypto-linked stocks happens in the New York open, which already reflects the weekend. You cannot buy an open before it opens.
The obvious workaround is Hyperliquid's 24/7 equity perps — buy the SK Hynix perp on Friday night, or the MSTR perp on Sunday. We tested whether the perps leave that gap open. They do not. The SKHX and SMSN perps move 0.47–0.49 with NVDA during the same UTC day — the perp absorbs the US move in real time. The MSTR perp tracks weekend BTC at 0.98 — fully priced by Sunday night. In both cases the perp's next-day correlation to the signal is negative (−0.17 to −0.35): chasing the spillover in the perp after the fact is slightly wrong-way.
What survives: a next-day fade after big semiconductor days
| X today → Y next session | lag r | t | Why Y already moved |
|---|---|---|---|
| NVDA → TSM | −.16 | −2.8 | US-listed ADR, traded the move same-day |
| SMH → Nikkei futures | −.17 | −3.0 | near-24h futures, same-day capture |
| SMH → Korea (EWY) | −.16 | −2.8 | US-listed ETF |
| SMH → ASML | −.15 | −2.6 | US-listed |
| NVDA → Asia perps (HL) | −.17…−.19 | — | 24/7 perp, prices the move live |
Every instrument that trades the semiconductor move same-day shows the same negative next-day sign — classic overreaction and mean reversion, split-half stable, worth roughly 0.9–1.6% per ±1σ event before fees. These legs are correlated, so this is honestly one finding, not five. It is the only pattern in the sweep with a consistent sign, a plausible mechanism, and stability across sample halves; the natural refinement is testing it intraday rather than on daily bars.
And where there is nothing: crypto-internal lead-lag is dead at the daily horizon. BTC does not lead memecoins, DeFi, or alt-L1s (all |t| < 1.5, split-halves flip sign) — a 24/7 market prices its own beta within the day. With ~30 tests run, a couple of t > 2 readings are expected by chance; the fade cluster earns its credibility from sign-consistency across legs, not from any single t-statistic.
Caveats
- Daily closes only. Crypto uses UTC days; stocks use exchange sessions. Cross-asset pairs are computed on overlapping days only (~124 obs per 180d window).
- The lead-lag section's Asia-perp checks rest on ~88 days of Hyperliquid xyz history — directionally clear, but short.
- Asia-listed names (Kioxia, Samsung, SK Hynix, Hyundai, SoftBank, Zhipu) close hours before US markets — their same-date correlations to US names are biased low.
- KR200 is proxied by the EWY ETF in this data; their 1.00 correlation is an artifact.
- Synthetic and private-market xyz listings (SpaceX, Quantinuum, RoboStrategy, NewBird, MiniMax, DRAM ETF tracker, XYZ100) have 16–60 days of history — indicative only.
- 60-day stock windows have ~40 observations — a ±0.15 noise band. Single-pair 60d moves should not be over-read.
- Correlations are regime-dependent. This is a snapshot of H1-2026 structure, not a constant.
Appendix: category membership
Non-obvious xyz tickers: DRAM = Roundhill Memory ETF; CBRS = Cerebras Systems; BOT = RoboStrategy; BIRD = NewBird AI; QNT = Quantinuum; PURRDAT = Hyperliquid Strategies (HYPE treasury); SPCX = SpaceX (private-market); STRC = Strategy Series A preferred; XYZ100 = top-100 non-financial US index; SKHX = SK Hynix; SMSN = Samsung Electronics; KIOXIA = Kioxia; LITE = Lumentum; BE = Bloom Energy; BX = Blackstone; USAR = USA Rare Earth; URNM = Sprott Uranium Miners ETF; SMH = VanEck Semiconductor ETF.
All 39 categories and members
| Category | Members |
|---|---|
| majors | BNB, BTC, ETH, SOL, XRP |
| l1-alt | ADA, ALGO, APT, ATOM, AVAX, BERA, CELO, CFX, DOT, DYM, FOGO, HBAR, ICP, INIT, INJ, IOTA, KAS, MINA, MNT, MON, MOVE, NEAR, NEO, S, SAGA, SEI, SUI, TIA, TRX, XLM, XPL, ZETA |
| eth-l2 | ALT, ARB, LINEA, MANTA, MEGA, OP, POL, STRK, ZK |
| btc-eco | BABY, HEMI, MERL, ORDI, STX |
| defi | AAVE, AERO, CAKE, COMP, CRV, EIGEN, ENA, ETHFI, LDO, LIT, MORPHO, ONDO, PENDLE, RESOLV, REZ, RSR, RUNE, SKY, SNX, STABLE, STBL, SUSHI, SYRUP, UNI, USUAL |
| perp-dex | APEX, ASTER, AVNT, DYDX, GMX |
| hl-eco | HYPE, PURR |
| sol-eco | JTO, JUP, LAYER |
| oracles | LINK, PYTH, TRB, UMA |
| interop | HYPER, W, ZRO |
| depin | AR, FIL, GRASS, IO |
| crypto-ai | 0G, AIXBT, FET, GOAT, GRIFFAIN, KAITO, RENDER, TAO, VIRTUAL, VVV, WLD |
| gaming-meta | ACE, APE, AXS, BIGTIME, GALA, GMT, IMX, NXPC, SAND, SOPH, SUPER, XAI, YGG |
| nft-social | BLUR, ME, TNSR, ZORA |
| memecoins | ANIME, BOME, BRETT, DOGE, FARTCOIN, GRAM, HMSTR, MEME, MOODENG, NOT, PENGU, PEOPLE, PNUT, POPCAT, PUMP, SPX, TURBO, VINE, WIF, kBONK, kFLOKI, kNEIRO, kPEPE, kSHIB |
| politifi | MELANIA, TRUMP, WLFI |
| privacy | AZTEC, DASH, XMR, ZEC, ZEN |
| legacy-alts | BCH, BSV, ETC, LTC, kLUNC |
| tokenized-gold | PAXG |
| infra-other | ENS, GAS, NIL, POLYX, PROVE, WCT |
| other-crypto | 2Z, BANANA, BIO, CC, CHIP, MET, SKR |
| memory-stocks | DRAM, KIOXIA, MU, SKHX, SMSN, SNDK, WDC |
| ai-semis | AMAT, AMD, ARM, ASML, AVGO, CBRS, INTC, MRVL, NVDA, QCOM, TSM |
| ai-hardware-net | DELL, LITE, NOK |
| hyperscalers | AMZN, BABA, GOOGL, IBM, META, MSFT, ORCL |
| neoclouds | CRWV, NBIS |
| software | NOW, PLTR, ZM |
| ai-frontier | BIRD, BOT, MINIMAX, QNT, ZHIPU |
| crypto-equities | COIN, CRCL, HOOD, MSTR, PURRDAT, STRC |
| meme-retail | BB, GME |
| ev-space | RIVN, RKLB, SPCX, TSLA |
| energy-materials | BE, URNM, USAR, XLE |
| healthcare | HIMS, LLY |
| consumer | AAPL, COST, DKNG, EBAY, NFLX |
| global-industrials | HYUNDAI, SOFTBANK |
| equity-indices | EWJ, EWT, EWY, EWZ, JP225, KR200, SMH, SP500, XYZ100 |
| commodities | BRENTOIL, CL, COPPER, GOLD, NATGAS, PALLADIUM, PLATINUM, SILVER |
| fx | EUR, GBP, JPY |