Wednesday, June 24, 2026

像 Peak Activity Range(峰值活动范围)这类基于量价分布和机构行为设计的指标

 像 Peak Activity Range(峰值活动范围)这类基于量价分布和机构行为设计的指标,其核心逻辑是识别“流动性堆积”和“市场公允价值”。在智能资金概念(SMC)体系中,交易者通常会结合以下几类同样能发挥动态或静态支撑与阻力作用的技术指标: [1, 2]

1. 基于成交量与流动性的指标
  • 成交量分布(Volume Profile / 固定范围成交量分布): 这是与 Peak Activity Range 逻辑最契合的指标。它能在价格轴上绘制出成交量,其中高成交量节点 (HVN) 代表买卖双方公认的价值区,在未来具有极强的支撑或阻力作用;低成交量节点 (LVN) 则代表流动性断层。
  • 平滑异同移动平均线 (MACD): 虽然常用于动量和趋势跟踪,但其零轴及直方图的峰值变化,在震荡市中往往充当隐藏的动态支撑与阻力位。 [1, 2, 3]
2. 基于市场结构(SMC)的指标
  • 订单块 (Order Blocks / OB): 标记在强劲推动行情前,机构吸筹或派发的最后相反K线。未被测试过的订单块是 SMC 交易中最核心的潜在支撑和阻力区。 [1, 2, 3]
  • 流动性池 (Equal Highs / Equal Lows): 标记多头或空头止损集中的等高点/等低点。这些区域在被突破前充当阻力/支撑,一旦被突破则标志着流动性被猎取(Liquidity Sweep)。 [1, 2]
3. 基于价格波动率与极值的指标
  • 布林带 (Bollinger Bands): 其上下轨能基于价格的标准差提供动态支撑与阻力。当价格触及轨线时,往往会产生均值回归的阻力或支撑反应。 [1]
  • 公允价值缺口 (Fair Value Gap / FVG): 标识由于单边强劲走势留下的价格失衡区域。这类区域由于缺乏对手盘,价格回撤时往往会在此“填补缺口”并受到支撑或阻力。 [1, 2]
4. 基于数学比例与趋势的指标
  • 斐波那契回调线 (Fibonacci Retracement): 经常与 SMC 的折价/溢价(Premium/Discount)区域结合使用。特别是 0.618 与 0.5(均衡点)黄金分割位,是机构最常介入的支撑与阻力带。 [1, 2, 3]
  • 枢轴点 (Pivot Points): 通过前一日/周的高低收盘价计算得出,自动生成的水平线(如 S1, S2, R1, R2)是日内交易极常用的静态支撑与阻力。 [1, 2]
对于想要深入理解如何通过量价分布寻找关键支撑和阻力的交易者,这个教程展示了如何使用工具来寻找机构介入的区域:

CRDO stock | Peak activity range LuxAlgo

 


Peak activity Range + SMC All 




LuxAlgo Peak Activity Range

 LuxAlgo Peak Activity Range 是一个基于成交量(Volume)的交易指标,主要用于自动识别高成交量柱并将其扩展为动态的支撑与阻力区间。该指标通常应用于 TradingView,能帮助交易者锁定机构资金介入的区域。 [1, 2]

核心功能与使用方法
  • 识别支撑与阻力(Support & Resistance): 指标会自动抓取成交量突增的 K 线,并以此绘制水平区间。这些区间反映了市场的主要兴趣点,价格跌至此处容易获得支撑,反之则面临阻力。 [1]
  • 内置成交量分布(Volume Profile): 工具内部带有成交量分布图,包含中线(Midpoint)和控制点(POC,Point of Control)。POC 代表特定时期内交易量最大的价格水平,对价格有较强的磁吸和反转效应。 [1, 2]
  • 交易信号提示: 开启信号模式后,图表会显示小三角形图标(△ / ∇),标示潜在的突破或回踩机会。
    • 突破(Breakout): 当价格向上或向下突破重要峰值活动区间时可作为入场参考。
    • 回测(Retest): 价格突破区间后回踩测试该水平线时,通常是顺势建仓的机会。 [1, 2]
推荐实战策略
  1. 区间内高抛低吸: 在震荡市中,当价格触及 Peak Activity Range 底部区间并出现止跌信号时,可视为做多(Long)机会;触及顶部区间受阻时,可视为做空(Short)机会。
  2. 突破跟随: 结合成交量观察,如果价格伴随巨量强势突破某个区间,表明趋势确立,可跟随突破方向顺势交易。
  3. 结合控制点(POC): 将 POC 视作动态的强弱分界线。价格在 POC 上方运行偏强势,在下方运行偏弱势。 [1, 2]
欲了解指标的底层逻辑及可视化参数,可查看 LuxAlgo Peak Activity Range 官方文档
如果你想深入探讨,可以告诉我:
  • 你习惯交易的资产类型(如加密货币、外汇或美股)
  • 你的交易风格(如短线剥头皮、日内交易还是波段交易)
我可以为你提供更具体的入场和风控建议!
  • Peak Activity Range | Trading Indicator - 

ORCL stock | June 24 2026 | 5 min chart | ORB 15 min | SMC All

 







QCOM stock | June 24 2026

 


QCOM stock | AI chips

 

U.S. Stocks Move | Qualcomm surges over 13% after hours, set to supply latest AI chips to Microsoft and Meta

Gelonghui, June 25 | Qualcomm (QCOM.US) surged more than 13% in after-hours trading to $223.15. On Wednesday, Qualcomm disclosed that Microsoft and Meta will adopt its new AI chip solution; the company will also develop customized chips for two additional unnamed hyperscale cloud providers. The global leader in smartphone chips held an investor briefing to officially unveil its data center AI chip strategy. Qualcomm stated that Microsoft will utilize its new High Bandwidth Compute (HBC) chip architecture, which leverages cost-effective, standard memory commonly used in smartphones and laptops—rather than NVIDIA’s expensive HBM high-bandwidth memory or Cerebras’ static SRAM—delivering a significant cost advantage. Meta, meanwhile, will deploy Qualcomm’s proprietary CPU designed specifically for AI data centers, the Dragonfly C1000.

QCOM stock | June 24 2026

Tech

Qualcomm stock pops 15% after chipmaker almost doubles projection for 2029 non-handset revenue

@kifleswing 

Key Points

  • Qualcomm on Wednesday revealed a CPU for data centers called Dragonfly C1000, and said that Meta would use it when it starts production in 2028.
  • The chipmaker said the new chip was built for agentic AI and focuses on offering computing performance without using too much power.
  • The stock popped after the company said non-handset revenue in 2029 will be $40 billion, up from a prior projection of $22 billion.
  • Qualcomm shares jumped 15% in extended trading on Wednesday after the chipmaker said non-handset revenue in fiscal 2029 will be $40 billion, up from a prior forecast of $22 billion.

    The company also said, as part of its shareholder meeting, that it’s targeting $15 billion in data center sales for that year, and it’s looking for total adjusted earnings of over $18 a share. Analysts polled by LSEG have an EPS target of $15.26 for fiscal 2029.

    Earlier on Wednesday, Qualcomm revealed a central processing unit for data centers called Dragonfly C1000, and said that Meta would use it when it starts production in 2028. The chipmaker said that the new CPU was built for agentic AI and focuses on offering computing performance without using too much power.

    The announcement, made at a Qualcomm presentation to investors, is another sign that the company best known for smartphone processors and modems is aggressively targeting the data center market.

    Qualcomm said at the event that it has a roadmap to target the quickly-growing market with several different products, including an AI chip and a product that will tie multiple chips together.

    CEO Cristiano Amon said the company has “just been executing, collecting assets, and when we got to this point, we feel that we have a comprehensive portfolio to enter the next phase of the data center.”

    Akash Palkhiwala, Qualcomm’s CFO, said in an interview that the company already has business with nearly every hyperscaler through its smartphone chips and other existing products.

    “This is not a new relationship. It’s the benefit of what we’ve delivered to them already on the edge, combined with the scale and the expertise and the confidence in Qualcomm, is what makes them engage with us on data center,” Palkhiwala said.

  • It also comes as investor interest in CPUs is rising, as experts believe that central processors will take on more of the workload from graphics processing units and AI chips because of AI agents, which run autonomously.

    “There really isn’t enough supply, and multiple players are needed,” in the CPU market, Palkhiwala said

    Qualcomm’s primary business in recent years has been smartphones, which accounted for two-thirds of the company’s product revenues in the quarter ended in March.

    But the company is seeking to diversify into cars, robots, and the data center, all faster-growing markets for chips than the smartphone sector, which peaked in terms of shipments in 2017, according to estimates.

    As part of its updated forecasts, Qualcomm said Wednesday that it’s expanded its “automotive design-win pipeline” to $65 billion, and increased its revenue target to $10 billion by fiscal 2029.

    Qualcomm says its expertise at making smartphone and PC chips that conserve battery life will serve customers like hyperscalers that are increasingly building data centers where the limiting factor is electrical power.

    The company said it had secured two deals to make custom silicon chips for hyperscalers.

    Separately, Qualcomm announced that it had acquired Modular for an undisclosed price. The startup made software that enables AI applications to run on a broad range of chip architectures, and Qualcomm says that it is an equivalent to Nvidia’s CUDA, which is used in many AI applications.

    Amon told investors that the company was not entering the data center market too late.

    “When people ask about if it’s late to enter the data center, you should think about scale and execution, or engineering capabilities, or operations and supply chain,” Amon said.

    WATCH: Qualcomm pushes into AI space with new roadmap