NEAR is the day's top gainer, up 20.1% – September 17, 2026

Looking back at September 17, 2026, the markets tracked by Alysly showed clear risk-on appetite: 82 of 95 monitored assets (86 %) closed higher. The day's biggest swing came from the crypto asset NEAR at +20.1 %. The major equity indices moved +1.1 % on average, as digital assets averaged +7.5 %.

The key points at a glance

Breadth: 82 of 95 assets higher (86 %), clear risk-on appetite.
Biggest daily move: NEAR at +20.1 %.
Indices: 17 of 17 higher, strongest S&P 500 Informationstechnologie (+2.25 %), weakest Nikkei 225 (+0.33 %).
Asset classes: leading crypto (+7.5 %), lagging commodities (-0.2 %).
Crypto: top gainer ONE (+80.0 %), top loser LSK (-7.3 %).
Correlation: EUR/USD ↔ Gold at +0.54 (moderately correlated).
Real assets: top hammer price Porsche 911 Turbo (964) · 1991–1994 at $480,964 (Classic cars).

Market barometer

Market breadth82 / 95 up

Equity indices +1.1 %

Crypto +7.5 %

Precious metals +0.5 %

Commodities -0.2 %

Breadth = share of all tracked instruments (indices, liquid crypto, commodities, forex) with a positive daily change. Bars scale with the magnitude of each asset class's average daily return.

In focus: NEAR

At +20.1 %, NEAR was the day's most notable single move. The chart shows its trajectory over the selected range:

Indices on the day

Every index we track is listed in the index overview.

Indices on the day
Index	Day	2026	1J	52W
DAX	+0.54 %	-0.1 %	+3.5 %
MSCI World	+1.22 %	+11.5 %	+15.4 %
S&P 500	+1.13 %	+11.8 %	+15.7 %
Nasdaq 100	+1.73 %	+16.7 %	+21.5 %
Dow Jones	+0.61 %	+7.9 %	+12.4 %
Russell 2000	+0.53 %	+16.0 %	+19.5 %
Euro STOXX 50	+0.88 %	+7.0 %	+13.7 %
MSCI ACWI	+1.24 %	+12.8 %	+16.5 %
MSCI ACWI IMI	–	–	–	–
MSCI China	+0.69 %	-12.3 %	-20.0 %
MSCI Emerging Markets	+1.81 %	+22.3 %	+25.6 %
MSCI EM IMI	+1.74 %	+21.2 %	+23.5 %
MSCI EMU	+0.87 %	+7.3 %	+13.3 %
MSCI Europe	+0.83 %	+6.9 %	+12.6 %
MSCI Europe Small Cap	–	–	–	–
MSCI Japan	+0.93 %	+21.3 %	+20.6 %
MSCI USA	–	–	–	–
MSCI USA Kommunikationsdienste	–	–	–	–
MSCI USA Zyklische Konsumgüter	–	–	–	–
MSCI USA Nichtzyklische Konsumgüter	–	–	–	–
MSCI USA Finanzwesen	–	–	–	–
MSCI USA Gesundheitswesen	–	–	–	–
MSCI USA Informationstechnologie	–	–	–	–
MSCI World Kommunikationsdienste	–	–	–	–
MSCI World Zyklische Konsumgüter	–	–	–	–
MSCI World Nichtzyklische Konsumgüter	–	–	–	–
MSCI World Energie	–	–	–	–
MSCI World ex USA	+0.97 %	+10.4 %	+14.0 %
MSCI World Finanzwesen	–	–	–	–
MSCI World Gesundheitswesen	–	–	–	–
MSCI World IMI	–	–	–	–
MSCI World Industrie	–	–	–	–
MSCI World Informationstechnologie	–	–	–	–
MSCI World Materialien	–	–	–	–
MSCI World Minimum Volatility	–	–	–	–
MSCI World Momentum	–	–	–	–
MSCI World Quality	–	–	–	–
MSCI World Small Cap	–	–	–	–
MSCI World SRI	–	–	–	–
MSCI World Versorger	–	–	–	–
MSCI World Value	–	–	–	–
S&P 500 Informationstechnologie	+2.25 %	+30.6 %	+38.6 %
STOXX Europe 600	–	–	–	–
Nikkei 225	+0.33 %	+28.0 %	+44.6 %

Of the 17 benchmark indices tracked, 17 finished the day higher, so the majority advanced. S&P 500 Informationstechnologie led the field at +2.25 %, while Nikkei 225 trailed at +0.33 %. The “52W” column shows where each index sits within its yearly range. A marker far to the right means it is trading close to its 52-week high.

Crypto: daily gainers & losers

From the 50 largest crypto assets by trading volume, excluding illiquid micro-caps.

Gainers

Crypto daily gainers
Name	Price	Change
ONE ONE	$0.001951	+79.98 %
AVA AVA	$0.2636	+69.19 %
COTI COTI	$0.02535	+46.96 %
MARSCOIN MARSCOIN	$0.1172	+27.39 %
NEAR NEAR	$3.147	+20.07 %
GENIUS GENIUS	$0.3603	+18.60 %

Losers

Crypto daily losers
Name	Price	Change
LSK LSK	$0.4432	-7.28 %
VTHO VTHO	$0.000677	-2.03 %
Stellar XLM	$0.1834	-0.27 %
XRP XRP	$1.2964	-0.24 %
TRON TRX	$0.335	-0.18 %
USD1 USD1	$1.00002	-0.00 %

The crypto market's daily mean was +7.5 %. Leading the pack was ONE at +80.0 %, with LSK trailing at -7.3 %. Crypto remains the most volatile asset class covered here. Daily swings of this magnitude are normal and say little about the long-term trend.

Commodities & precious metals

All series: commodities and precious metals.

Precious metals averaged +0.5 %, energy and industrial commodities -0.2 %. That is the classic pattern of a more defensive phase: metals bid, cyclical commodities softer. Gold is a traditional hedge, while crude oil and copper act as growth barometers.

Commodities & precious metals
Name	Price	Change
Gold	4399.7	+0.28 %
Silver	66.095	+1.81 %
Platinum	1794.3	+0.47 %
Palladium	1303.1	-0.78 %
WTI crude	101.91	-0.51 %
Brent crude	104.82	-0.95 %
Gasoline	3.2486	+0.48 %
Heating oil	5.1139	-2.53 %
Copper	6.6615	+2.34 %

Foreign exchange (Forex)

All currency pairs are listed in the forex overview.

The key pair EUR/USD moved +0.03 %: the euro gained on the US dollar, so the dollar was relatively weaker. A firmer dollar tends to weigh on commodities and emerging markets, a weaker one supports them. Prices are drawn from CME FX futures.

Foreign exchange (Forex)
Pair	Price	Change
EUR/USD	1.15155	+0.03 %
GBP/USD	1.3359	-0.20 %
USD/JPY	155.003	+0.13 %
AUD/USD	0.71	+0.29 %
USD/CAD	1.39315	-0.01 %
USD/CHF	0.816627	+0.02 %

Real assets: new hammer prices

Between 10 September 2026 and today, 4 auction records were captured. Real assets have no continuous quote; a price only comes into being with the hammer.

New hammer prices per asset class
Asset class	Records	Median	Highest hammer price	Price
Classic cars	4	$125,000	Porsche 911 Turbo (964) · 1991–1994 15 Sep 2026	$480,964

Median = the middle hammer price among this window's records, not the value of a fixed position. It moves simply because different items come up for sale each week. The price index below avoids exactly this composition effect. Prices are hammer prices including the buyer's premium.

No lot changed hands in trading cards in this window. The most recent recorded sale is 10 days back (7 September 2026). With few, high-priced items such gaps are the norm, not a data outage. No lot changed hands in watches in this window. The most recent recorded sale is 96 days back (13 June 2026). With few, high-priced items such gaps are the norm, not a data outage.

The trading-card price index stands at 577.7, +215.0 % against a year ago (base 100 at the first quarter covered, as of 7 September 2026). It measures price changes of the same good rather than the median of a changing offer. Against the previous reading (29 June 2026) that is +2.3 %, a quarterly figure rather than a daily one.

Residential property: an official index, not a hammer price

For residential property there are no individual sales to report: prices there are formed in statistics, not under the hammer. The latest available reading is 1 June 2026, 108 days before this report. The gap reflects the publication lag of the sources rather than missing data.

Residential property indices
Series	Level	Prior print	1 year
United States (Case-Shiller) 1 Jun 2026	336.7	+0.4 %	+1.7 %
Germany 31 Mar 2026	153.4	+0.3 %	+1.4 %
Euro area 31 Mar 2026	157.4	+0.9 %	+4.6 %

Data note 1

Cross-asset correlations

Over the past 90 trading days, EUR/USD and Gold were moderately correlated, with a correlation coefficient of +0.54. A value near +1 means they move together, near −1 they move opposite, near 0 there is no linear link. For portfolio diversification, low or negative correlations are valuable because they smooth out volatility.

Cross-asset correlations
Pair	r (90d)	−1 … +1
S&P 500 ↔ Bitcoin	+0.36
S&P 500 ↔ Gold	+0.42
Gold ↔ Crude oil (WTI)	-0.24
EUR/USD ↔ Gold	+0.54

Summary

On balance, September 17, 2026 was a day of clear risk-on appetite across the markets Alysly tracks: 82 of 95 assets gained. The headline came from NEAR at +20.1 %. Across asset classes, crypto led (+7.5 %) while commodities lagged (-0.2 %). The correlation between EUR/USD and Gold stood at +0.54, a gauge of how much diversification benefit combining the two currently offers. Away from the capital markets, the top hammer price was Porsche 911 Turbo (964) · 1991–1994 at $480,964, a price struck at a single table rather than on an exchange. A single trading day is only a small slice, though: over longer periods, asset classes, regions and holding period shape a portfolio's result more than any one day's move.