Strasmore Research
Jifunze Matt ConnorNa Matt Connor · Imeboreshwa 2026-07-25

wastani wa kiasi cha siku ADV hisa

Kiasi cha wastani cha siku (ADV) ni hisa za kawaida zinazouzwa kwa siku, kigawanyo cha siku za kufidia na ujazo linganifu, na msingi wa kila kichujio cha ukwasi.

Kiasi cha wastani cha siku — ADV — ndicho namba kinachotumiwa zaidi ambacho hakuna anayejisumbua kukifafanua: hisa za kawaida za kampuni zinazouzwa kwa siku, zilizokadiriwa kwa wastani katika kipindi fulani cha nyuma. Ni kigawanyo ndani ya siku za kufidia, msingi ndani ya ujazo linganifu, na mtihani wa ukwasi ndani ya kila kichujio — jambo linalomaanisha kuwa kila moja ya namba hizo hurithi uchaguzi tulivu wa ADV: dirisha gani, vipindi gani vya kufanya biashara, hisa au dola. Ukurasa huu unafafanua ADV vizuri, unapiga hesabu kwa mkono, na unapima kila moja ya uchaguzi huo kwenye taarifa halisi.

Kiasi cha wastani cha biashara kwa siku, kimepimwa

Vikao ishirini vya saa za kawaida za biashara — Juni 11 hadi Julai 10, 2026 — majina manne yanayojulikana pamoja na jina moja lenye biashara chache kwa makusudi. Hisa, dola, na (kwa ajili ya baadaye) sehemu ya kiasi cha jumla cha biashara cha kila jina inayofanyika nje ya saa za kawaida:

UlizaADV ya vipindi 20 vya saa za kawaida — hisa, dola, na sehemu ya saa za ziada (Juni 11 – Julai 10, 2026)
SQL halisi nyuma ya kila namba
WITH per_day AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
           sumIf(toFloat64(volume), formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') >= '09:30'
                                AND formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') < '16:00') AS rth_shares,
           sumIf(toFloat64(close) * toFloat64(volume), formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') >= '09:30'
                                                   AND formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') < '16:00') AS rth_dollars,
           sum(toFloat64(volume)) AS all_shares
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'AAPL', 'MU', 'KO', 'CATO')
      AND window_start >= toDateTime('2026-06-11 00:00:00', 'America/New_York')
      AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
    GROUP BY ticker, et_date
)
SELECT ticker,
       round(avg(rth_shares) / 1e6, 2) AS adv_shares_m,
       round(avg(rth_dollars) / 1e9, 2) AS adv_dollars_bn,
       round(100 * (sum(all_shares) - sum(rth_shares)) / sum(all_shares), 1) AS extended_hours_pct,
       count() AS sessions
FROM per_day
GROUP BY ticker
ORDER BY adv_shares_m DESC

Jedwali hili linabeba hoja nzima ya ukurasa huu. MU na AAPL hufanya biashara ya idadi karibu sawa ya hisa kila siku — 42.01M dhidi ya 41.47M — lakini safu ya dola inawatofautisha kwa kiasi kikubwa: $44.49B dhidi ya $12.24B kwa siku. Hisa hupima shughuli; dola hupima fedha. Nafasi hata inabadilika kwenye kilele: SPY inaongoza kwa hisa (46.01M katika vikao 20) wakati MU inaongoza jedwali hili kwa dola. Na chini kabisa, CATO hufanya biashara ya hisa milioni 0.05 kwa siku — fedha chache sana hivi kwamba safu ya mabilioni inaonyesha 0 katika kipimo hiki. Hiyo ni aina ya tape ambapo agizo moja la taasisi ndio kiasi cha biashara cha siku nzima, na ambapo gharama za biashara hukaa katika kiwango tofauti.

Jinsi ya kukokotoa wastani wa kiasi cha siku

Hesabu ni rahisi kwa makusudi: ongeza kiasi cha hisa za siku katika dirisha ulilochagua, gawanya kwa idadi ya siku. Wiki moja kamili ya rekodi ya saa za kawaida za Coca-Cola (Julai 6–10, 2026), pamoja na jumla inayoendelea na wastani uliokokotolewa katika swala moja:

UlizaADV kwa hesabu ya mkono — sauti tano za kila siku za KO, jumla yake, na wastani (Julai 6–10, 2026)
SQL halisi nyuma ya kila namba
SELECT session_date,
       shares_m,
       round(sum(shares_m) OVER (), 1) AS five_day_total_m,
       round(avg(shares_m) OVER (), 1) AS adv_m,
       round(avg(shares_m) OVER () * 0.01 * 1000, 0) AS one_pct_of_adv_k
FROM (
    SELECT formatDateTime(toDate(toTimeZone(window_start, 'America/New_York')), '%Y-%m-%d') AS session_date,
           round(sumIf(toFloat64(volume), formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') >= '09:30'
                                      AND formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') < '16:00') / 1e6, 1) AS shares_m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'KO'
      AND window_start >= toDateTime('2026-07-06 00:00:00', 'America/New_York')
      AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
    GROUP BY session_date
)
ORDER BY session_date

Ongeza siku tano — 10.7 + 12.1 + 10.7 + 11 + 8.3 milioni hisa — na jumla ni 52.8M. Gawanya kwa tano: 10.6M hisa, ADV ya vipindi 5 vya KO. ADV ya vipindi 20 ni hesabu sawa juu ya safu 20 — hiyo ndiyo namba katika jedwali la kwanza. Angalia kile wastani unachoficha: 2026-07-07 ilichapisha 12.1M na 2026-07-10 ilichapisha 8.3M, mabadiliko ya siku hadi siku ambayo ADV hulainisha kuwa takwimu moja. Safu ya mwisho inaonyesha ukubwa wa nafasi: asilimia moja ya ADV ya KO ni takriban 106 elfu hisa — kiwango ambacho agizo moja huanza kuwa sehemu inayoonekana ya rekodi ya siku.

Dirisha ni chaguo, na ndilo linaloamua jinsi ADV inavyosahau

Vikao ishirini ndio kawaida (mwezi wa biashara); kumi, thelathini, sitini na tano, na tisini vyote vinatumika. Dirisha ndilo linaloamua jinsi ADV inavyosahau. MU ni mfano hai wa mwaka 2026 — jina ambalo tape yake ilipitiwa upya kwa nguvu sana katikati ya mwaka hivi kwamba ADV yake ya mwezi uliopita na ADV yake ya robo mwaka iliyopita zilikuwa zikisimulia hadithi tofauti wakati wa majira ya kuchipua, na nyaraka zote zipo katika uchambuzi wake wa kina wa Juni. Hapa kuna hisa hiyo hiyo kwa miezi saba iliyopita, ikipimwa kwa madirisha yote mawili kwa wakati mmoja:

UlizaMU — ADV inayozunguka ya vipindi 20 dhidi ya vipindi 90, Desemba 2025 hadi Julai 10, 2026 (iliyochukuliwa sampuli kila kipindi cha tatu)
SQL halisi nyuma ya kila namba
WITH daily AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
           sum(toFloat64(volume)) AS day_shares
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'MU'
      AND window_start >= toDateTime('2025-08-01 00:00:00', 'America/New_York')
      AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY et_date
),
rolled AS (
    SELECT et_date,
           avg(day_shares) OVER (ORDER BY et_date ROWS BETWEEN 19 PRECEDING AND CURRENT ROW) AS adv20,
           avg(day_shares) OVER (ORDER BY et_date ROWS BETWEEN 89 PRECEDING AND CURRENT ROW) AS adv90,
           row_number() OVER (ORDER BY et_date) AS rn,
           count() OVER () AS total_rows
    FROM daily
)
SELECT formatDateTime(et_date, '%Y-%m-%d') AS date,
       round(adv20 / 1e6, 1) AS adv_20_session_m,
       round(adv90 / 1e6, 1) AS adv_90_session_m
FROM rolled
WHERE rn > 90 AND (rn % 3 = total_rows % 3)
ORDER BY et_date

Mnamo 2025-12-10 madirisha mawili yalikubaliana: 21.3M kwa hesabu ya vikao 20, 19.9M kwa hesabu ya 90. Kufikia 2026-04-14 yalikuwa yamegawanyika hadi 45.6M dhidi ya 31.9M — ADV mbili "rasmi" za hisa moja kwa siku moja, na kila kichujio, takwimu ya siku za kufidia, au usomaji wa kiasi cha jamaa uliofungwa kwa dirisha moja haukukubaliana na chombo kile kile kilichofungwa kwa kingine. Kufikia 2026-07-10 hizo mbili zilikuwa zimeungana tena (42M dhidi ya 41.9M): kiwango cha kiasi kilichopitiwa upya kilikuwa kimeingia katika dirisha refu pia. Wakati vyanzo viwili vinapotofautiana kuhusu ADV ya hisa, dirisha ndilo linaloshukiwa kwanza; ikiwa kiasi cha muda wa ziada baada ya saa za kawaida kinajumuishwa ndio cha pili.

Nini kinatokea kwa ADV mara baada ya mshtuko wa kiasi

Chati iliyo juu inaashiria hili; hapa imepimwa. Chukua mshtuko mkali zaidi wa kiasi wa MU wa mwaka 2026 — kikao kilichozidi zaidi ADV yake ya nyuma ya vikao 20 — na ulinganishe ADV ambacho kichunguzi kilionyesha kabla ya siku hiyo na kile kilichoonyeshwa mwezi mmoja baadaye:

UlizaMshtuko mkubwa zaidi wa kiasi cha MU mwaka 2026 — siku ya tukio dhidi ya ADV iliyotangulia kabla na baada
SQL halisi nyuma ya kila namba
WITH daily AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
           sum(toFloat64(volume)) AS day_shares
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'MU'
      AND window_start >= toDateTime('2025-11-01 00:00:00', 'America/New_York')
      AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY et_date
),
ranked AS (
    SELECT et_date, day_shares,
           day_shares / avg(day_shares) OVER (ORDER BY et_date ROWS BETWEEN 20 PRECEDING AND 1 PRECEDING) AS shock_ratio,
           row_number() OVER (ORDER BY et_date) AS rn
    FROM daily
),
biggest AS (
    SELECT et_date, day_shares, shock_ratio
    FROM ranked
    WHERE rn > 20 AND et_date >= toDate('2026-01-01')
    ORDER BY shock_ratio DESC, et_date ASC
    LIMIT 1
),
before AS (
    SELECT avg(day_shares) AS adv FROM (
        SELECT day_shares FROM daily WHERE et_date < (SELECT et_date FROM biggest) ORDER BY et_date DESC LIMIT 20
    )
),
after AS (
    SELECT avg(day_shares) AS adv FROM (
        SELECT day_shares FROM daily WHERE et_date >= (SELECT et_date FROM biggest) ORDER BY et_date ASC LIMIT 20
    )
)
SELECT formatDateTime((SELECT et_date FROM biggest), '%Y-%m-%d') AS event_date,
       round((SELECT day_shares FROM biggest) / 1e6, 1) AS event_day_shares_m,
       round((SELECT adv FROM before) / 1e6, 1) AS adv_20_before_m,
       round((SELECT shock_ratio FROM biggest), 1) AS event_vs_prior_adv_x,
       round((SELECT adv FROM after) / 1e6, 1) AS adv_20_after_m,
       round(100 * ((SELECT adv FROM after) / (SELECT adv FROM before) - 1), 0) AS adv_shift_pct

Mnamo 2026-03-19, MU ilichapisha hisa 64.7M dhidi ya ADV ya awali ya 28.7M — mara 2.3x ya msingi wake yenyewe. Katika vikao 20 vilivyofuata, ADV ya nyuma ilikuwa wastani wa 45M: 57% kuruka kwa denominator. Kila nambari inayotokana na ADV ilihamia nayo — kiasi cha jamaa kilipungua (msingi ulikua) na siku za kufunika zilipungua (denominator ilikua), bila mabadiliko yoyote kuhitajika katika nafasi halisi ya mtu yeyote. Kwa upande wa MU, tape iliyoinuliwa iliendelea — mshtuko uliashiria upya wa rating, si tukio la siku moja — lakini mitambo ni sawa kwa njia zote mbili: baada ya kipindi kizito, ADV hupima tukio badala ya tabia za hisa kwa urefu wa dirisha moja.

Kile kinachoitwa kioevu, kwa kipimo

"Mamilioni ya dola kwa siku" ndiyo maelezo ya kawaida ya uwezekano wa kufanya biashara. Hapa kuna mgawanyo halisi — kila alama iliyoorodheshwa Marekani yenye angalau vikao 15 kati ya 20 sawa, iliyoorodheshwa kwa wastani wa ADV ya dola:

UlizaADV ya dola katika soko lote la Marekani — asilimia na hesabu za kizingiti (Juni 11 – Julai 10, 2026)
SQL halisi nyuma ya kila namba
WITH per_ticker AS (
    SELECT ticker, avg(day_dollars) AS adv_dollars
    FROM (
        SELECT ticker,
               toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
               sumIf(toFloat64(close) * toFloat64(volume), formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') >= '09:30'
                                                       AND formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') < '16:00') AS day_dollars
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE window_start >= toDateTime('2026-06-11 00:00:00', 'America/New_York')
          AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
          AND match(ticker, '^[A-Z]+$')
        GROUP BY ticker, et_date
    )
    GROUP BY ticker
    HAVING count() >= 15
)
SELECT count() AS names,
       round(quantileDeterministic(0.25)(adv_dollars, cityHash64(ticker)) / 1e6, 2) AS p25_m,
       round(quantileDeterministic(0.50)(adv_dollars, cityHash64(ticker)) / 1e6, 1) AS median_m,
       round(quantileDeterministic(0.75)(adv_dollars, cityHash64(ticker)) / 1e6, 1) AS p75_m,
       round(quantileDeterministic(0.90)(adv_dollars, cityHash64(ticker)) / 1e6, 1) AS p90_m,
       round(quantileDeterministic(0.99)(adv_dollars, cityHash64(ticker)) / 1e6, 0) AS p99_m,
       countIf(adv_dollars >= 1e6) AS names_above_1m,
       countIf(adv_dollars >= 10e6) AS names_above_10m,
       countIf(adv_dollars >= 100e6) AS names_above_100m,
       countIf(adv_dollars >= 1e9) AS names_above_1bn
FROM per_ticker

Kati ya alama 10864, wastani wa jina hugeuza $2.2M kwa siku — nusu ya soko la Marekani linafanya biashara chini ya hapo. Robo yake inafanya biashara chini ya $0.33M. Asilimia 75 iko kwenye $20.4M, asilimia 90 kwenye $113.7M, asilimia 99 kwenye $1333M. Ikihesabiwa dhidi ya vizingiti vya duara: alama 6515 zinafuta $1M kwa siku, 3535 zinafuta $10M, 1166 zinafuta $100M — na 130 tu zinafuta $1B. Majina ambayo mwelekeo wa kifedha huzunguka karibu kabisa ndani ya kikundi hicho cha mwisho; wastani wa hisa iliyoorodheshwa ni chombo tofauti kabisa.

Ambapo ADV huamua kwa utulivu namba nyingine

  • Siku za kufunika = short interest ÷ ADV. Mlipuko wa kiasi hupunguza uwiano bila mabadiliko yoyote katika nafasi fupi — kiashiria cha chini ndicho kilichofanya.
  • Kiasi cha jamaa = kasi ya leo ÷ ADV. Namba hiyo hiyo, jukumu kinyume: hapa ADV ndiyo msingi unaopigwa.
  • Vichujio vya ukwasi ("majina tu juu ya ADV milioni 1") — kila backtest na screener hubeba moja, na usalama wa kuendelea hufuata kimyakimya: majina huingia kwenye vichujio hivyo kwa kuwa na wiki zao za kushangaza zaidi.
  • Ukubwa wa nafasi — tabia ya taasisi ya kufanya biashara kwa asilimia chache tu ya ADV kwa siku ndiyo sababu fedha kubwa haziwezi kumiliki hisa fulani ndogo: wiki za kiasi chote cha soko zingehitajika kujenga au kuondoka kwenye nafasi.

Kesi ya siku za kufunika inafaa kuonekana kwa namba halisi, kwani hata takwimu "rasmi" hubeba uamuzi wa ADV wa mtu fulani. FINRA huchapisha siku za kufunika karibu na kiashiria chake cha kiasi (kila soko, dirisha lake la kuripoti, lililowekwa sakafuni kwa 1.0 — tazama jinsi data hiyo inavyowasili); hesabu tena uwiano huo huo kwa ADV ya saa za kawaida za vipindi 20 vya ukurasa huu na jibu linabadilika:

UlizaSiku za kufidia, zilizokokotwa upya — kipunguza cha FINRA dhidi ya ADV ya vipindi 20 vya saa za kawaida za ukurasa huu (malipo Juni 30, 2026)
SQL halisi nyuma ya kila namba
WITH our_adv AS (
    SELECT ticker, avg(day_shares) AS adv
    FROM (
        SELECT ticker,
               toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
               sumIf(toFloat64(volume), formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') >= '09:30'
                                    AND formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') < '16:00') AS day_shares
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker IN ('MU', 'KO')
          AND window_start >= toDateTime('2026-06-11 00:00:00', 'America/New_York')
          AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
        GROUP BY ticker, et_date
    )
    GROUP BY ticker
),
si AS (
    SELECT ticker,
           max(short_interest) AS short_interest,
           max(avg_daily_volume) AS finra_adv,
           max(days_to_cover) AS finra_dtc
    FROM global_markets.stocks_short_interest
    WHERE settlement_date = '2026-06-30' AND ticker IN ('MU', 'KO')
    GROUP BY ticker
)
SELECT si.ticker AS ticker,
       round(si.short_interest / 1e6, 1) AS shares_short_m,
       round(si.finra_adv / 1e6, 1) AS finra_adv_m,
       round(si.finra_dtc, 2) AS finra_days_to_cover,
       round(our_adv.adv / 1e6, 1) AS rth_adv_20_session_m,
       round(si.short_interest / our_adv.adv, 2) AS days_to_cover_recomputed
FROM si
INNER JOIN our_adv ON si.ticker = our_adv.ticker
ORDER BY ticker

Short interest sawa, viashiria viwili vya chini. Kwa KO, FINRA inaripoti 2.06 siku kwenye takwimu yake ya kiasi cha hisa 24.1M; dhidi ya ADV ya saa za kawaida ya 12.4M ya ukurasa huu, nafasi fupi hiyo hiyo ya hisa 49.6M inafanya kazi hadi 4 siku — karibu mara mbili. Kwa MU, namba iliyochapishwa iko kwenye sakafu iliyoripotiwa ya 1; ikihesabiwa upya, ni 0.75 siku. Hakuna takwimu iliyo potofu — zinajibu kwa viashiria tofauti vya chini. Somo linajumlisha: uwiano wowote ulio na ADV chini yake unataja kimyakimya dirisha na chaguo la saa za mtu fulani.

Je, ADV inafanya kazi kwa chaguzi?

Wafanyabiashara wa chaguzi hutegemea dhana hiyo hiyo kwa tofauti moja: kiasi huhesabiwa kwa mikataba, na kila mkataba wa kawaida wa hisa hudhibiti hisa 100. Vikao 20 sawa, nyimbo nne za chaguzi, na hesabu ya mikataba ikibadilishwa kuwa uwezekano wa hisa sawia:

UlizaADV ya chaguzi — wastani wa mikataba ya kila siku na mfiduo wa hisa sawia (Juni 11 – Julai 10, 2026)
SQL halisi nyuma ya kila namba
WITH daily AS (
    SELECT multiIf(ticker LIKE 'O:SPY2%', 'SPY', ticker LIKE 'O:AAPL2%', 'AAPL', ticker LIKE 'O:MU2%', 'MU', 'KO') AS underlying,
           toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
           sum(toFloat64(volume)) AS contracts
    FROM global_markets.options_minute_aggs
    WHERE (ticker LIKE 'O:SPY2%' OR ticker LIKE 'O:AAPL2%' OR ticker LIKE 'O:MU2%' OR ticker LIKE 'O:KO2%')
      AND window_start >= toDateTime('2026-06-11 00:00:00', 'America/New_York')
      AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
    GROUP BY underlying, et_date
)
SELECT underlying,
       round(avg(contracts) / 1e3, 1) AS avg_daily_contracts_k,
       round(avg(contracts) * 100 / 1e6, 1) AS share_equivalent_m,
       count() AS sessions
FROM daily
GROUP BY underlying
ORDER BY avg_daily_contracts_k DESC

Tofauti za kiwango huzidisha chochote kilicho kwenye jedwali la hisa. Nyimbo ya chaguzi ya SPY ilikuwa na wastani wa mikataba 12543.2 elfu kwa siku — uwezekano wa hisa sawia wa 1254.3M, kiasi kikubwa cha ADV ya hisa 46.01M ya SPY yenyewe. KO inakwenda upande mwingine: mikataba 64.6 elfu (hisa sawia 6.5M), chini ya ADV yake ya hisa 12.4M. Ukwasi wa chaguzi hujilimbikizia katika idadi ndogo ya misingi, na hupunguka zaidi katika viwango vya utekelezaji na tarehe za kukoma — takwimu ya jumla kama hii inazidisha kile ambacho mkataba wowote mmoja unauzwa, kwa hivyo kiasi cha mkataba na maslahi ya wazi bado vinahitaji kukaguliwa kabla ya kuweka ukubwa wa agizo la chaguzi.

Kusoma ADV kama Mtaalamu

Tabia tatu huziba pengo kati ya kujua ufafanuzi na kuitumia. Linganisha ADV ya hisa na ADV ya dola — jedwali la kwanza linaonyesha majina mawili yaliyo karibu kwa hisa lakini mbali kwa fedha, na safu ya fedha ndiyo ambayo agizo linajali. Usiamini ADV mara baada ya matukio — paneli ya mshtuko iliweka namba: kipindi kimoja kizito kilihamisha kipunguza 57% kwa mwezi mmoja, kikipunguza kwa utaratibu kiasi cha jamaa na siku za kufidia hadi mwinuko utakapotoka nje ya dirisha. Angalia ADV dhidi ya kalenda — Ijumaa za kumalizika muda, siku za kusawazisha, na tarehe za mabadiliko ya fahirisi huinua kiasi cha kila mtu kwa pamoja (siku za wachawi zaidi ya yote), kwa hivyo siku nzito ya soko zima haisemi chochote kuhusu hadithi ya jina lolote moja.

Maswali Yanayoulizwa Mara kwa Mara kuhusu ADV (Wastani wa Kiasi cha Siku)

Je, ni ADV gani nzuri?

Kwa kipimo cha 10864 alama za Marekani kwa vipindi 20 vya biashara, wastani wa ADV kwa dola ulikuwa $2.2M; 3535 alama zilifikisha $10M kwa siku na 130 pekee ndizo zilifikisha $1B. Kwa maagizo ya ukubwa wa rejareja, kiwango muhimu ni dola, si hisa — alama zilizo katika kundi la $10M-plus zinafanya biashara bila agizo dogo kubadilisha bei.

Je, ADV inakokotolewaje?

Jumlisha kiasi cha hisa za kila siku katika kipindi ulichochagua na ugawanye kwa idadi ya siku. Vipindi vitano vya KO vya Julai 6–10, 2026 vina jumla ya hisa 52.8M; ukigawanya kwa tano, ADV ni 10.6M. ADV ya siku 20 ni hesabu hiyo hiyo kwa vipindi 20.

Je, ADV hupimwa kwa kipindi gani?

Kwa kawaida ni vipindi 20 vya biashara (takriban mwezi mmoja), lakini matoleo ya siku 10, 30, 65 na 90 yote yanazunguka — na hayakubaliani baada ya mshtuko wowote wa kiasi. Mnamo 2026-04-14, ADV ya vipindi 20 vya MU ilikuwa 45.6M huku ADV yake ya vipindi 90 ikikuwa 31.9M siku hiyo hiyo. Angalia kipindi kabla ya kulinganisha vyanzo.

Je, ADV inajumuisha kiasi cha kabla ya soko na baada ya soko?

Inategemea chanzo — takwimu za ukurasa huu ni za saa za kawaida pekee. Kwa vipindi hivyo hivyo 20, vipindi vya nyongeza vilichukua 18.3% ya jumla ya kiasi cha SPY, 6.9% cha AAPL, na 0.2% cha CATO nyembamba — mwongozo wa vipindi vya nyongeza unaelezea vipindi hivyo kwa kina.

Je, ADV ni hisa au dola?

Kwa jadi ni hisa, lakini ADV ya dola ndiyo kipimo bora cha ukwasi katika hisa zote. Kwa vipindi hivyo hivyo 20, MU na AAPL zilifanya biashara ya hisa 42.01M na 41.47M kwa siku — karibu sawa — huku ADV zao za dola zikiwa $44.49B na $12.24B. Idadi sawa ya hisa, bahari tofauti sana.


Kila takwimu ni swala lililohifadhiwa na kuwekewa toleo — panua SQL chini ya paneli yoyote, au hesabu kipindi chochote kwa ticker yoyote kwenye terminal ya Strasmore.