投资研究 · 更新于 2026-06-30Investment Research · Updated 2026-06-30

杂志级美股投研报告,Magazine-quality US stock research,
一行命令即可生成。generated in one command.

每张卡片显示三档公允价 — Bear / Base / Bull,完全基于最新季度盈利计算。没有买卖评级,没有主观意见。看完下面的公式,自己判断。Each card shows three fair-value scenarios — Bear, Base, Bull — computed from the latest quarterly earnings. No buy/sell ratings, no opinions. Read the formula below, then judge yourself.

32 份报告 · 覆盖 10 个热门赛道 · 点击任一卡片查看完整分析32 reports across 10 hot sectors · Click any card to view the full analysis

三档价格怎么算出来的How the numbers are computed§ 00

100% 透明,每只票同一套公式。100% transparent. Same formula for every stock.
第 1 步 · 取锚Step 1 · Anchor
latest_quarterly_EPS × 4
取最新一季的摊薄 EPS,乘以 4,得到 run-rate 年度化 EPS — 当前盈利能力的最新鲜数据,不是 12 个月前的旧账。Take the most recent quarter's diluted EPS and multiply by 4. This is the run-rate annualized EPS — the freshest signal of current earnings power.
第 2 步 · 乘倍数Step 2 · Multiply
× target_P/E_multiple
对 Bear / Base / Bull 三种情景分别用三个不同的 P/E 倍数。倍数取决于股票是周期股还是增长股(见第 3 步)。Apply three multiples for Bear / Base / Bull scenarios. The multiple depends on whether the stock is classified as cyclical or secular growth (see Step 3).
BEARBASEBULL
周期股Cyclical14×20×
增长股Secular18×25×35×
第 3 步 · 分类Step 3 · Classify
cyclical / secular?
盈利数据判定,不看行业名字。NVDA 和 MU 表面都是「半导体」,但实际走势完全不同。We classify from income data, not industry name. NVDA and MU are both 'Semiconductors' on paper but behave entirely differently.
5 年内有亏损年,或峰值利润年不在最近 2 年 → 周期股;否则 → 增长股。Cyclical if any negative-income year in 5y history, OR peak income year is not in the latest 2 years.
最终公式Final formula
Bear / Base / Bull = latest_Q_EPS × 4 × P/Emultiple
每份单独报告里还有另外 3 种 DCF 方法(历史 FCF / 前瞻 FCF 调整 / 前瞻纯 EPS)做交叉验证。主页只显示 Q-annualized,因为它反映的是最新 run-rate。Three more DCF lenses (Historical FCF, Forward FCF-adjusted, Forward Pure EPS) appear inside each individual report for cross-check. Q-annualized is the headline because it reflects the most current run-rate. 查看完整方法论 →Read full methodology →

AI 算力AI Compute§ 01

3 只票3 tickers
AMD
$521.58
Advanced Micro Devices, Inc.
Semiconductors · $850B · 1Y +275%
BEAR
$62
-88%
BASE
$95
-82%
BULL
$153
-71%
awesomestock.xyz/amd
AVGO
$372.45
Broadcom Inc.
Semiconductors · $1.77T · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/avgo
NVDA
NVDA
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/nvda

光模块Optical Modules§ 02

6 只票6 tickers
CIEN
$478.93
Ciena Corporation
Communication Equipment · $68B · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/cien
COHR
$391.22
Coherent, Inc.
Hardware, Equipment & Parts · $62B · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/cohr
FN
FN
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/fn
LITE
LITE
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/lite
MRVL
MRVL
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/mrvl
SIVE.ST
SIVE.ST
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/sive-st

存储芯片Memory & Storage§ 03

7 只票7 tickers
000660.KSDRAM + HBM🇰🇷 KRW
KR₩2,628,000.00
SK hynix Inc.
Semiconductors · KR₩1861.40T · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/000660-ks
005930.KSMemory + Logic🇰🇷 KRW
KR₩323,000.00
Samsung Electronics Co., Ltd.
Consumer Electronics · KR₩2154.41T · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/005930-ks
285A.TNAND🇯🇵 JPY
JP¥88,450.00
Kioxia Holdings Corp.
Hardware, Equipment & Parts · JP¥48.40T · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/285a-t
MUDRAM + HBM
MU
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/mu
SNDKNAND
SNDK
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/sndk
STXHDD
STX
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/stx
WDCHDD
WDC
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/wdc

AI 基建 & 电力AI Infrastructure§ 04

3 只票3 tickers
CEG
$259.32
Constellation Energy Corporation
Renewable Utilities · $93B · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/ceg
ETN
ETN
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/etn
VRT
VRT
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/vrt

科技巨头Mega-cap Tech§ 05

5 只票5 tickers
AAPL
$281.74
Apple Inc.
Consumer Electronics · $4.14T · 1Y +40%
BEAR
$92
-67%
BASE
$128
-55%
BULL
$180
-36%
awesomestock.xyz/aapl
AMZN
$240.14
Amazon.com, Inc.
Specialty Retail · $2.58T · 1Y +8%
BEAR
$49
-79%
BASE
$80
-66%
BULL
$128
-47%
awesomestock.xyz/amzn
GOOGL
GOOGL
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/googl
META
META
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/meta
MSFT
MSFT
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/msft

加密 & 稳定币Crypto & Stablecoin§ 06

4 只票4 tickers
COIN
$151.65
Coinbase Global, Inc.
Financial - Data & Stock Exchanges · $40B · 1Y -57%
BEAR
$22
-85%
BASE
$38
-75%
BULL
$51
-67%
awesomestock.xyz/coin
CRCL
$75.96
Circle Internet Group
Financial - Capital Markets · $20B · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/crcl
HOOD
HOOD
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/hood
MSTR
MSTR
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/mstr

制药 · GLP-1Pharma · GLP-1§ 07

1 只票1 ticker
LLY
LLY
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/lly

电动车Electric Vehicles§ 08

1 只票1 ticker
TSLA
TSLA
· — · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/tsla

价值 · 综合体Value · Conglomerate§ 09

1 只票1 ticker
BRK-B
$495.95
Berkshire Hathaway Inc.
Insurance - Diversified · $1.07T · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/brk-b

其他覆盖Other Coverage§ 10

1 只票1 ticker
CBRS
$216.16
Cerebras Systems Inc.
Semiconductors · $48B · 1Y —
BEAR
BASE
BULL
awesomestock.xyz/cbrs

估值方法The methodology

传统 DCF 模板用历史 FCF 增长率,对周期股和加速增长股都会系统性失真。本报告默认主估值锚是 季度年度化(Q-annualized) — 最新季 EPS × 4 × 周期感知 P/E 倍数 — 再配合另外三种 DCF 镜头交叉验证。Most stock-DCF templates use historical FCF growth, which systematically misprices cyclicals and accelerating growers. The default primary anchor here is Q-annualized — latest quarterly EPS × 4 × cycle-aware P/E multiple — paired with three other DCF lenses for cross-check.

周期股从盈利数据判断,不从行业名称。市场情绪由价格动量代理生成,并对基本面评级做缓冲调整。Cyclicality is detected from income data, not industry name. Sentiment is computed from price-action proxies and buffered against the fundamental verdict.

查看完整方法论 →Read methodology →

自己跑起来Run it yourself

开源项目。生成这些报告的同一套流水线已打包为 Claude Code skill。克隆仓库,配置 FMP API key,10 秒内分析任意美股票代码。This is open-source. The same pipeline that generated these reports is packaged as a Claude Code skill. Clone the repo, set your FMP API key, and analyze any US ticker in 10 seconds.

./run.sh NVDA

GitHub 仓库 ↗View on GitHub ↗