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Help me set up FinLab and analyze 3130 一零四. Please read: https://finlab.finance/en/setup?stock=3130

3130

一零四 Digital & Cloud As of 2026-06-17 Updated daily after market close

steady quality, fair valuation, no active signal today.

This page refreshes daily after the close. Add 一零四 to your watchlist to track signal changes on your next visit.
Valuation 62Quality 85Growth 51Momentum 40Chips 1

Is 一零四 a buy? Fundamentals and valuation first

  • Above-average profitability.Operating margin is in the 80th market percentile. Latest quarterly ROE ≈ 6.7%.

  • Valuation is neutral.PE is in the 25th market percentile; within its own history, PE is around the 28th percentile.

  • Foreign investors are net selling.Foreign 20-day net flow ≈ -16.8% of volume (net sell).

Chip flow

Neutral -0.03
BearishNeutralBullish

Institutional rotation, concentration steady — neutral

  • Institutional rotation, concentration steady — neutral
  • 富邦-建國 holds 357 lots
  • sellers have 45 lots left, ~60 sessions to clear

Window from 2026-01-17 · Price +0% · branches to 2026-06-17· TDCC to 2026-06-12

  • Largest holder 富邦-建國 has accumulated 357 lots since the start (sold 0%), still adding.
  • Main distributor 富邦-新竹 peaked at 25 lots, has sold 28%, 18 left, paused recently.
  • TDCC big holders (absolute) >1000-lot holders -1.04pp, mid holders +0, retail +1.24pp — drifting down to retail.
  • Foreign hedge-desk net short Net short -46 lots (inferred from branch profile, mostly hedging — not necessarily bearish, not case-confirmed).
Branch inventory reconstruction
Accumulating holders Branches that accumulated shares during the window and still hold positive inventory; they are the absorbing side.
Distributing sellers Branches that built inventory earlier and have been selling it down; the remaining number estimates what has not cleared.
Net-short desks Trading-desk branches with negative inventory or net selling, often hedge, offsetting, or short-term flow. It is not automatically a bearish view.
Accumulating
富邦-建國新光-新竹富邦證券台灣摩根士丹利元大-莒光花旗環球
Distributing
富邦-新竹群益金鼎-板橋國泰-台南元大-竹北富邦-陽明玉山-台中
Desks
own scale
群益金鼎元大證券新光美林
Price Accumulating & Distributing share one scale (comparable); Desks is independent. Zero is the baseline
Branch details Unit: lots

Accumulating

  • 富邦-建國 +357
    sold 0%· still adding
  • 新光-新竹 +44
    sold 8%
  • 富邦證券 +41
    sold 0%· still adding
  • 台灣摩根士丹利 +26
    sold 0%· still adding
  • 元大-莒光 +26
    sold 0%· still adding
  • 花旗環球 +25
    sold 14%

Distributing

  • 富邦-新竹 18 left
    sold 28%· paused recently
  • 群益金鼎-板橋 5 left
    sold 71%· ~8 sessions to clear
  • 國泰-台南 4 left
    sold 67%· ~40 sessions to clear
  • 元大-竹北 8 left
    sold 27%· ~40 sessions to clear
  • 富邦-陽明 6 left
    sold 25%· ~60 sessions to clear
  • 玉山-台中 5 left
    sold 38%· paused recently

Desks

  • 群益金鼎 -447
    unclassified
  • 元大證券 -84
    unclassified
  • 新光 -48
    unclassified
  • 美林 -36
    hedge desk · will cover
Still selling 45 lots ~60 sessions to bottom at most
Recent buy/sell force +241 absorbed / -28 sold buyers slightly ahead
Hedge-desk net short -14 lots potential cover-buying, not selling pressure
TDCC big holders · absolute-holding cross-check
>1000-lot holder share Retail (<400 lots) share Price (right axis)

Weak direction: big-holder share fell while retail share rose.

Describes chip flow, not investment advice. Branch data discloses only high-volume branches with ~1-day lag; TDCC is weekly. Inventory is a relative reconstruction from the window start, not absolute holdings.

Historical evidence

Valuation regime and subsequent returns

Each day's PE is converted to its own-history percentile (as of that day), then we look at adjusted-close returns over the next 240 trading days by valuation regime.

PE percentile bandSample days240-day avg returnMedianWin rateAvg excess (vs index)
0-20 227+21.2% +21% 100% +0.7%
20-40 You are here562+12.6% +9.7% 95.6% -11.2%
40-60 905+20.9% +17.8% 96.6% +3.8%
60-80 522+19.4% +14.1% 94.3% +4.5%
80-100 827+4.6% +2.1% 60.1% -6.1%

Percentiles use an expanding own-history window (no look-ahead); forward return is 240 trading days on adjusted close. Sample days overlap; distribution is indicative only.

Current PE ≈ 14.85, at the 27.6th percentile of its own history (20-40 band).

Valuation × momentum historical grid

Every day in its own history is bucketed by valuation tercile (own-history PE) and 60-day momentum sign into six cells; we show adjusted-close returns over the next 120 trading days per cell.

Valuation
Momentum
Cheap (own-history bottom 1/3)
Mid
Expensive (own-history top 1/3)
60-day momentum up
Now
+6.1%
Win rate 83% Excess -7.6%
347d
+11.2%
Win rate 87.5% Excess +2%
1093d
+2.5%
Win rate 62.2% Excess -2.6%
806d
60-day momentum down
+7.4%
Win rate 86.5% Excess -4%
178d
+8.9%
Win rate 77.6% Excess +2.2%
331d
+5.9%
Win rate 78.3% Excess -3.9%
299d

Currently in “Cheap (own-history bottom 1/3) × 60-day momentum up”: across 347 historical days, 120-day forward avg gained 6.1%, win rate 83%, lagged the market by 7.6%.

Days = trading days in this bucket; returns use adjusted prices, ex-costs. 60-day momentum: direction of this stock's price over the past 60 trading days.

Signals not active (historical stats for reference)

These are not occurring now; historical samples shown for comparison.

252-day price high (breakout)

Pending

Adjusted close makes a new 252-day high; repeats within 20 days counted once.

40 times historically; 60-day forward avg +3.67%, win rate 70%, beating the market by +1.89 pts on average.

Monthly revenue YoY ≥ 20% (from filing deadline)

Pending

Monthly revenue YoY ≥ 20%; event date is the first trading day after the filing deadline (no look-ahead).

30 times historically; 60-day forward avg +2.92%, win rate 63%, beating the market by +0.13 pts on average.

Foreign net buying for 5 straight days

Pending

Foreign net flow (ex-dealer) positive for 5 straight days; event on day 5; repeats within 20 days counted once.

34 times historically; 60-day forward avg +3.32%, win rate 63.6%, beating the market by +0.64 pts on average.

What does 一零四 do? Company profile

數位雲端;人力資源服務、線上徵才平台、HR SaaS、教育學習與人資顧問服務 上市(台灣證券交易所)

Overview

3130 對應證券為一零四資訊科技股份有限公司,英文名 104 CORPORATION,為台灣證券交易所上市普通股。公司成立日期為 1993/10/30,公開發行日期 2001/07/18,興櫃日期 2004/10/13,上市日期 2006/02/17;總部位於新北市新店區寶中路119-1號10樓。董事長為楊基寬,總經理兼發言人為黃于純,代理發言人洪彬芳。公開資訊觀測站資料顯示實收資本額為新台幣331,907,000元,已發行普通股33,190,700股,每股面額新台幣10元,無特別股、無公司債發行;主要經營業務為一般廣告服務業、電子資訊、就業服務。2025年年報從業員工表列114年度員工合計1,005人,平均年齡39.0歲、平均服務年資7.2年;2026年3月底同為1,005人。主要股東名單(公司官網股東專欄,製表日期2025/3/30)包括楊基寬13.54%、顧蘊祥13.54%、花旗(台灣)商業銀行受託保管JCB奈斯特有限公司投資專戶12.57%、扶華投資股份有限公司7.31%、德商德意志銀行台北分行受託保管全春天新興市場證券基金投資專戶4.99%、蔡秀娟4.79%、台北富邦商業銀行受託一零四信託財產專戶3.06%、德商德意志銀行台北分行受託保管斯威德銀行小型資本新興市場投資專戶1.81%、匯豐(台灣)商業銀行受託保管帕納主基金投資專戶1.76%、財團法人臺北市天美慈善基金會1.51%。2025年公司年報列合併營收新台幣2,674,437千元、年增7.0%,EPS 14.70元;2026年1至5月官網月營收累計新台幣1,145,896千元、年增6.72%。

Business

一零四以104人力銀行為核心,經營雙邊人力媒合平台與企業人資雲端服務。2025年年報揭露營業比重:網路及顧問服務100%,內容包括線上人力招募、網路廣告、教育學習、人事薪資管理系統、人資測評、獵才。主要產品與服務包含:1. 網路徵才服務:累積超過900萬名履歷會員,每月提供逾百萬筆工作機會,服務企業客戶超過47萬家,提供職缺刊登、人才搜尋、人才推薦、雇主品牌、曝光與多元招募服務。2. 求職、職涯與學習服務:履歷刊登、工作搜尋、個人化推薦、公司評論、薪資情報、學生/新鮮人/科技人才/外籍人才專區、職涯診所、履歷診療室、人才社群、職場力、AI職涯平台與104學習。3. 數位人資系統:HR Max、企業大師、招募管理系統、人事薪資代管;其中薪資代管服務年報稱服務逾千家企業、涵蓋23萬名員工。4. 全方位人資管理服務:薪酬福利市場資訊、績效與測評顧問、員工滿意度調查、企業學習平台、整合式招募、獵才招聘。5. 高年級服務:中高齡人才嚴選媒合與樂活學習平台。商業模式以企業端付費為主,法說簡報列示多元定價方式包含固定費率、依成效付費、按用戶訂閱與本地部署授權;個人端多以免費與加值服務累積流量、履歷與行為資料。公司營收成長主要受惠於人力銀行、人資學院、企業大師與獵才等服務。客戶分散,年報說明單一客戶交易金額皆不重大、佔營業收入比例極微小,故未列主要銷貨客戶。

Outlook 2025–2028

2025至2028展望偏正向但需留意競爭與景氣風險。成長動能:1. 台灣少子化、缺工與人才供需失衡,使企業更依賴線上徵才、雇主品牌、多元招募與獵才;年報指出2025年企業平均招募天數拉長至60.3天,求才壓力升高。2. AI技能需求擴大,2025年年報稱2025年11月AI工作機會約10萬個、年增38%,企業對AI人才與AI導入的需求帶動職缺搜尋、技能測評、學習與顧問服務。3. HR SaaS與人資數位化滲透提升,HR Max、企業大師、招募管理系統、薪資代管、企業學習平台可將一零四由單一徵才廣告平台延伸為企業長期人才管理夥伴。4. 法說簡報揭露一零四具908.3萬份履歷資料、累積超過10年求職者行為數據與履歷資料、93.5%上市櫃企業採用,資料規模與企業網絡是AI媒合與產品升級基礎。5. 2026年策略重點為以AI Agent、Copilot、LLM與語意媒合優化求職者與僱主媒合流程,並把AI應用到履歷、技能、職涯發展、專業招募顧問與企業端決策建議;法說亦稱關鍵人才庫與AI推薦可節省企業約60%人選搜尋時間,AI推薦讓求職者獲得面試機會達自行搜尋的3.2倍。6. 中高齡與外籍/僑外生人才服務,有機會受人口結構與政策支持推動。潛在風險與挑戰:1. 全球經濟、關稅政策、地緣政治與產業景氣變化會影響企業徵才預算與付費意願。2. 人力銀行與HR SaaS功能易被模仿,價格競爭與新創平台分流可能壓縮成長率。3. 生成式AI帶來履歷真實性、演算法公平性、個資保護、資訊安全與智慧財產權風險,公司需持續投入數據治理、資安與AI倫理。4. 企業用人趨審慎、獵才案件難度提高,顧問品質與產業人脈是維持獵才服務成長的關鍵。5. 台灣市場滲透率已高,長期成長需仰賴微小型企業拓展、HR SaaS交叉銷售、新商模、海外/外籍人才與中高齡服務。

Supply Chain

Upstream
  • 求職者與履歷會員 非公司型上游資料與流量來源;提供履歷、求職行為、技能與職涯資料,是104人力銀行媒合、推薦模型與資料產品的核心基礎。
  • 企業徵才客戶與人資部門 同時是需求端與資料來源;提供職缺、招募流程、用才偏好、雇主品牌與人資管理需求。年報稱服務企業客戶超過47萬家,單一客戶營收占比極微小,未揭露特定主要客戶。
  • 教育機構、課程內容供應者、講師與測驗/證照資源 支援104學習、企業學習平台、高年級樂活學習與AI能力培養服務;多數為未上市或未具體揭露合作對象。
  • 雲端、AI模型、資安與軟體基礎設施供應商 支撐雲端平台、LLM、推薦模型、資料分析、資安與系統穩定性;公司未在年報揭露主要供應商,且年報稱屬數位雲端產業、無主要原料與無實體製造進貨集中問題。
Downstream
  • 企業徵才客戶 使用職缺刊登、人才搜尋、人才推薦、雇主品牌、整合式招募與獵才服務;涵蓋上市櫃、外商、中小企業與微型企業,但公司未揭露個別主要客戶。
  • 企業人資、管理階層與員工 使用HR Max、企業大師、招募管理系統、薪資代管、績效測評、員工滿意度調查、企業學習平台與ESG人資資料服務。
  • 求職者、學生、新鮮人、科技人才、外籍人才與中高齡人才 使用求職、履歷、工作推薦、薪資情報、職涯診所、履歷診療室、104學習、AI職涯平台與高年級服務。
  • 台灣就業與人資服務生態系 下游應用包含招募效率提升、人才培育、組織留才、雇主品牌、ESG人才指標揭露與中高齡再就業。

Competitors

  • 數字科技股份有限公司(518熊班、小雞上工) 5287 台股上櫃公司;旗下518熊班與小雞上工屬求職徵才與打工媒合平台,與104在人力媒合、服務業職缺與行動求職場景競爭。
  • 1111人力銀行(全球華人股份有限公司) 台灣主要人力銀行之一;非台股上市櫃公司,與104在線上求職、企業徵才、履歷庫與招募服務競爭。
  • yes123求職網 台灣求職徵才平台;未確認為台股上市櫃公司,與104在線上職缺搜尋、履歷媒合與企業招募廣告競爭。
  • Cake(原CakeResume,川陀數位股份有限公司) 台灣新創人才平台,主打履歷、作品集、國際人才社群與AI媒合;未上市,較偏新創、科技與跨國人才市場。
  • LinkedIn(Microsoft) 國際職涯社群與招募平台,母公司為美國上市公司Microsoft,非台股;在專業人才、外商、國際職缺與企業招募品牌上與104部分競爭。
  • Workday 美國上市HR SaaS與企業雲端人資系統供應商,非台股;在大型企業人資系統、人才管理與薪酬績效模組與104 HR SaaS部分競爭。
  • MAYO鼎恒數位科技 台灣HR SaaS服務商,未確認為台股上市櫃公司;在人資系統、薪資、出勤、績效與員工體驗相關模組與104 HR Max、企業大師部分競爭。
  • Hahow好學校 台灣線上課程平台,未上市;與104學習、高年級樂活學習在部分個人學習與技能培訓市場競爭。
Sources(17)

This company profile is compiled from public sources (annual reports, filings, news and analyst reports), not finlab backtest data; the 2025–2028 outlook contains forward-looking estimates and is for reference only.

Method and limitations

  • All returns use adjusted close (etl:adj_close), already adjusted for dividends and splits.
  • Excess return is measured against the TAIEX total-return index (dividends included).
  • Valuation regime and percentile stats use an expanding own-history window (no future data).
  • Revenue-signal event dates align to the first trading day after the filing deadline, avoiding look-ahead.
  • Event samples may overlap in time; stats describe historical distribution only and are less reliable when samples are few.

This page is historical statistics for educational purposes and is not investment advice. Investing involves risk; past performance does not indicate future results. Assess and bear the risk yourself before trading.