- Top in Finance
- #176
- Paid leaderboard
- #155
- Paid subscribers
- 100+ paid
- Badge
- Bestseller 100
- Followers
- 20K
- Paid plan
- $24.99/mo
- Recommends
- 9
other newsletters
This newsletter publishes in Chinese. It is tracked and ranked like every other publication on the board; only the English-language pages are submitted to search engines.
Most-mentioned tickers
Symbols named in the headline of a post from the last 30 days, most-covered first. The number is how many of those posts mentioned it.
AMDCRWDDDOGLITEMDBMSFTNPOOCSPANWSNOW
Read from 4 post headlines in the last 30 days. A newsletter that names a company only in the body of a post will not appear here, and a mention is not a recommendation — it only means the symbol came up.
Growth history
Subscribers (thousands, nightly)
15K on Sep 10, 2026 → 16K on Oct 21, 2026
Followers (thousands, nightly)
Rank in Substack’s finance leaderboard: #176 today · #187 a week ago · #203 a month ago
Stats worth sharing
Tracked since Sep 10, 2026 — 43 daily snapshots so far. The card below is built from what we track and refreshes nightly.
- Percentile
- Top 34%
- Best rank seen
- #176
- Rank, 7 days
- +11 places
- Rank, 30 days
- +27 places
- Followers added
- +770
- Posts
- 13
- Reactions per post
- 104
- Reactions tracked
- 3.0K
- Tickers covered
- 15
of 525 ranked finance newsletters
on Oct 22, 2026
since tracking began
last 30 days
average, recent posts
across 29 posts
in tracked posts
Most-reacted post we have seen: 《宋分| 分析師底層系統 #5 》 最硬核的一篇底層系統｜PE/PB/EV/sales/EV/EBITDA/DCF到底怎麼用？案例全公開｜ORCL PE 低於20倍真的被低估了嗎？親手帶你建一次ORCL DCF模型 — 241 reactions on Aug 10, 2026.
Recent posts
- 《Price-in#5｜2,420 元的台積電，已經反映多少 AI 融資風險？》
- 《Coverage Universe ｜投資假設驗證日誌#4 》2026.10｜SpaceX的部署往前、微軟的估值先走：18家公司，哪些成長經得起資金變貴？
- 《Price-in #4｜$543 的 MSFT price in 了什麼？創歷史新高後，下一段上漲還需要什麼？》
- 《宋分｜分析師底層系統 #7》PE和PB怎麼比較誰便宜？美光、海力士、三大雲端，怎麼選？從五家公司估值出發，走一遍機構投資決策會議：比較預期報酬與下行風險，決定買誰、買多少，以及何時換股？
- 《投資紀律 #32｜股票翻倍，要不要先賣一半？困難的不是賣出，是你賣掉之後要怎麼辦》
- 《Price-in #3｜$1,133 的 LITE price in了什麼？OCS、FCC 與 NPO，還有多少沒被市場看懂？》
- 《市場解碼深度 #14｜AI 可以複製技術，卻複製不了一張稀有球員卡：用科技股的方法，找下一個消費Re-rate》
- 《Founder Q&A#1 | 一個分析師怎麼被自己的模型、市場、時間與錯誤慢慢訓練出判斷力？》
- 《投資紀律#31｜研究這麼久，績效還是輸給 ETF：我還要不要自己選股？》
- 《Price-in #2｜$1000的美光，price in了幾年的缺貨？財報前必讀》
- 《市場解碼深度#13｜誰能收走企業的「AI複雜稅」？拆解CRWD、PANW、SNOW、DDOG、MDB的下一輪Re-rate》
- 《投資紀律 #1～#30 閱讀地圖｜從30篇裡面找到你的操作問題解答》
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Data: Substack public leaderboards and publication archives, refreshed nightly, plus public beehiiv sitemaps and recommendation pages, refreshed weekly. Source for this page: 美股送分題. Subscriber counts are Substack’s own rounded public figures, so week-on-week changes move in steps. beehiiv audience sizes are self-reported by the publisher and are not verified. Last snapshot: Oct 22, 2026.