Arista Networks (ANET): Rising Channel Continuation + AI NetworkArista Networks, Inc.BATS:ANETGreenZoneCapitalOverview Summary We’re tracking ANET as a core Green Zone Capital exposure within the AI infrastructure stack, specifically the network fabric that connects accelerated compute, storage, and data-center traffic. At the time of writing, Arista is trading around $154.57 per share with a market cap of roughly $183.1 billion. From a chart perspective, ANET continues to respect a rising channel on the weekly timeframe. Price corrected earlier in the year, found support near the lower half of the structure, and is now pressing back toward the upper portion of the trend. That keeps the setup in continuation mode rather than breakdown mode. Within GZC’s Bottleneck-to-Ticker framework, Arista fits because AI is not only a compute story — it is also a network throughput and latency story. GPU clusters do not scale efficiently without high-performance switching, routing, and data movement. Arista’s latest reported quarter reinforced that backdrop: the company reported 2025 revenue of $8.25 billion, up 17.5% year over year, and fourth-quarter revenue of $1.93 billion, up 25.3% year over year. Bias: Long Type: Trend Continuation / Infrastructure Compounder Entry Zone: Prefer adds on orderly pullbacks toward channel support / mid-structure consolidation Target Zone: $200–$220+ Invalidation: Sustained weekly breakdown of the rising channel structure Technical Analysis Technically, ANET still looks constructive. The stock remains inside a higher-high / higher-low trend channel, which suggests the broader structure is intact even after periods of volatility. The recent move higher looks less like a random bounce and more like a continuation attempt back toward the upper boundary of the range. Behaviorally, this is what stronger infrastructure names often do: they correct through a controlled pullback, re-establish support, and then attempt another leg higher. As long as the channel remains intact, the path of least resistance stays upward. Macro/Fundamental Thesis Arista is one of the cleaner public-market ways to express the view that AI infrastructure requires more than semiconductors. As clusters become larger and more performance-sensitive, networking becomes a real bottleneck — not a side consideration. That matters because capital has to flow not only into compute, but also into the systems that allow compute to communicate efficiently. For GZC, ANET remains attractive because it sits inside that forced-spend layer. The company’s own positioning emphasizes large AI, data center, campus, and routing environments, and it recently announced high-density liquid-cooled pluggable optics aimed at accelerated computing environments.