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Data as of July 15, 2026, shows that the volume percentile in the 15 minutes before the US market opens reached 100%, significantly higher than the average level of the past 30 days, indicating that the opening support is currently at a high level. A

2026-07-15

Data as of July 15, 2026, shows that the volume percentile in the 15 minutes before the US market opens reached 100%, significantly higher than the average level of the past 30 days, indicating that the opening support is currently at a high level. At the same time, the momentum percentile also recorded 100%, significantly higher than the average level of the past 30 days, suggesting that the current market's ability to continue its upward trend is also at a relatively high level.

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2026-07-15

Shanghai Gold Exchange gold T+D closed up 0.95% at 885.59 yuan/gram in the July 14 evening session. Shanghai Gold Exchange silver T+D closed up 2.45% at 14,405 yuan/kg.

Shanghai Gold Exchange gold T+D closed up 0.95% at 885.59 yuan/gram in the July 14 evening session. Shanghai Gold Exchange silver T+D closed up 2.45% at 14,405 yuan/kg.
2026-07-15

Artificial Analysis, a global independent AI-model benchmarking platform, shows China’s top frontier models closing from roughly 50–60% of US performance at end‑2023 to about 90% by mid‑June 2026, based on monthly comparisons of each country’s leadin

Artificial Analysis, a global independent AI-model benchmarking platform, shows China’s top frontier models closing from roughly 50–60% of US performance at end‑2023 to about 90% by mid‑June 2026, based on monthly comparisons of each country’s leading models. The catch‑up has occurred despite high‑end compute constraints, driven by engineering optimizations, model‑efficiency gains and faster application iteration. Market takeaways: sustained convergence would weaken using raw compute scale as a proxy for AI competitiveness, could prompt downward repricing of US AI firms’ technology premium, and bolster investment narratives for domestic compute, cloud services, edge AI and industry-specific deployments. Investment emphasis may shift from parameter/training scale toward lower‑cost, faster commercialization pathways if the trend continues.
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