hisa kiasi kisicho kawaida wiki hii

Kiasi kisicho cha kawaida kinamaanisha hisa inayofanya biashara juu zaidi ya kawaida yake — si ya soko. Megacap inayofanya milioni 40 za hisa ni Jumanne; small-cap inayofanya hivyo ni tukio. Ukurasa huu unaorodhesha hisa zenye kiasi kisicho cha kawaida cha wiki iliyomalizika: wastani wa kiasi cha siku tano zilizopita kwa kila jina ukigawanywa na wastani wake wa vipindi arobaini vilivyotangulia, ikiwa na kiwango cha chini cha dola ili kila safu iwe hisa ambayo mtu anaweza kufanya biashara nayo. Inasasishwa kila wiki, na muhuri wa "data kufikia" ni dirisha. Kipimo chenyewe — kiasi cha jamaa — kina mwongozo kamili.

Viongozi wa kiasi kisicho cha kawaida wiki hii

Safu tatu ndizo zinazofanya kazi. Kizidishi kinaonyesha ni kwa kiasi gani hisa ilifanya biashara juu ya kiwango chake cha kawaida. Msingi unaonyesha kile kiwango cha kawaida kilikuwa — na kizidishi kikubwa kutoka kwa msingi dhaifu ni tukio dogo kuliko kizidishi cha wastani kutoka kwa biashara yenye shughuli nyingi. Dola zinaonyesha kama shughuli hiyo ilikuwa halali kiuchumi. Safu ya mwisho, mabadiliko ya ufunguzi hadi kufunga kwa wiki, ndiyo ambayo skrini nyingi za kiasi huacha.

WITH sess AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           sum(toFloat64(volume)) AS vol,
           sum(toFloat64(close) * toFloat64(volume)) AS dollars,
           argMin(toFloat64(open), toTimeZone(window_start, 'America/New_York')) AS day_open,
           argMax(toFloat64(close), toTimeZone(window_start, 'America/New_York')) AS day_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= now() - INTERVAL 70 DAY
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker, d
),
cal AS (
    SELECT d, row_number() OVER (ORDER BY d DESC) AS rn
    FROM (SELECT DISTINCT d FROM sess)
),
per_name AS (
    SELECT s.ticker AS ticker,
           avgIf(s.vol, c.rn <= 5) AS adv_recent,
           avgIf(s.vol, c.rn BETWEEN 6 AND 45) AS adv_base,
           sumIf(s.dollars, c.rn <= 5) AS dollar_recent,
           argMaxIf(s.day_open, c.rn, c.rn <= 5) AS week_open,
           argMinIf(s.day_close, c.rn, c.rn <= 5) AS week_close,
           countIf(c.rn <= 5) AS recent_sessions,
           countIf(c.rn BETWEEN 6 AND 45) AS base_sessions
    FROM sess s INNER JOIN cal c ON s.d = c.d
    GROUP BY s.ticker
    HAVING adv_base > 100000 AND dollar_recent >= 500000000 AND recent_sessions = 5 AND base_sessions >= 35
)
SELECT ticker,
       round(adv_recent / adv_base, 1) AS rvol_week,
       round(adv_recent / 1e6, 2) AS recent_adv_m,
       round(adv_base / 1e6, 2) AS baseline_adv_m,
       round(dollar_recent / 1e9, 2) AS week_dollar_bn,
       round(100.0 * (week_close / week_open - 1), 1) AS week_pct
FROM per_name
ORDER BY rvol_week DESC, ticker ASC
LIMIT 8

Kila safu, soma kwa mpangilio:

• JLHL — 99.2x ya kawaida yake, ya juu zaidi: 16.95M hisa kwa siku dhidi ya msingi wa 0.17M, $0.68B zilifanyika biashara, na mabadiliko ya ufunguzi hadi kufunga ya 160.6%.
• AGEN — 41.1x kwenye msingi wa 0.62M-hisa, na $0.88B ya mauzo nyuma yake; mabadiliko ya wiki yalikuwa 54.3%.
• IONS — 4.7x, lakini kwenye msingi mwembamba wa 1.43M na $2.1B tu ya mauzo; mabadiliko kwa wiki, -19.6%.
• ALNY — 2.3x, 1.91M hisa kwa siku ikilinganishwa na 0.83M kwa kawaida; -26.2% ufunguzi hadi kufunga.
• BBIO — 2.1x, $2.25B zilifanyika biashara, -0.2% kwa wiki.
• MULL — 2.1x kwenye msingi wa 1.96M-hisa, $0.52B zilifanyika biashara, -22.8% ufunguzi hadi kufunga.
• HLI — 1.9x, 0.9M hisa kwa siku, $0.61B; mabadiliko ya wiki, 5.6%.
• QGEN — safu ya nane na ya mwisho, kwa 1.8x na $0.76B zilifanyika biashara na mabadiliko ya 8.7%.

Mwelekeo si sehemu ya cheo, na safu mbili za kulia zinafanya hilo kuwa halisi: kiongozi wa ubao alimaliza wiki 160.6% kutoka kwa bei yake ya ufunguzi huku jina la nane likimaliza 8.7% kutoka kwa lake — skrini moja, uzoefu tofauti. Biashara nzito huashiria vipindi ambapo hisa zinazoelea za hisa zinajaribiwa kikweli; haisemi chochote kuhusu upande gani wa jaribio hilo ulishinda.

Jinsi kizidishi kinavyokokotolewa

Chukua hisa iliyokuwa na wastani wa hisa 200,000 kwa siku katika vipindi arobaini vilivyopita. Katika wiki iliyopita, inauza hisa 1,000,000, kisha 1,400,000, kisha 900,000, kisha 1,100,000, kisha 600,000 — wastani wa vipindi vitano ni 1,000,000. Gawanya: 1,000,000 ÷ 200,000 = 5.0x. Ipe hisa hiyo hiyo msingi wa hisa milioni mbili badala yake, na wiki hiyo hiyo inasoma 0.5x. Nambari ya juu ni wiki hii; nambari ya chini ni tabia ya kawaida ya hisa. (Nambari ya chini yenyewe ni wastani wa kiasi cha kila siku, kinachopimwa kwa vipindi arobaini badala ya ishirini vya kawaida.)

Kwa nini vipindi arobaini? Inakadiriwa miezi miwili ya kalenda — ndefu vya kutosha ili mwinuko mmoja wa awali usitawale nambari ya chini, fupi vya kutosha kuelezea hisa kama inavyofanya biashara leo. Kwa nini tano kwa nambari ya juu? Wiki kamili, ili kusimama kwa siku moja au mpango wa mara moja usitawale usomaji.

Hesabu ina onyo la kweli: kadiri msingi unavyozidi kuwa mwembamba, ndivyo kizidishi kinavyokuwa cha bei nafuu. Kiongozi wa wiki hii ana msingi wa 0.17M hisa kwa siku — kwa ukubwa huo, kikao kimoja cha msongamano huvuta wastani wa wiki nzima juu nayo, ndiyo sababu bodi inahitaji msingi wa hisa laki sita na wiki ya $500M kabla jina linaweza kuonekana kabisa.

Wiki ni nadra kiasi gani wiki kama hii?

Kizidishi kina maana tu dhidi ya usambazaji uliotoka. Ulimwengu uleule, dirisha lilelile, kila jina linalostahiki limewekwa katika kundi lake kwa kizidishi chake:

WITH sess AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           sum(toFloat64(volume)) AS vol,
           sum(toFloat64(close) * toFloat64(volume)) AS dollars
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= now() - INTERVAL 70 DAY
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker, d
),
cal AS (
    SELECT d, row_number() OVER (ORDER BY d DESC) AS rn
    FROM (SELECT DISTINCT d FROM sess)
),
per_name AS (
    SELECT s.ticker AS ticker,
           avgIf(s.vol, c.rn <= 5) AS adv_recent,
           avgIf(s.vol, c.rn BETWEEN 6 AND 45) AS adv_base,
           sumIf(s.dollars, c.rn <= 5) AS dollar_recent,
           countIf(c.rn <= 5) AS recent_sessions,
           countIf(c.rn BETWEEN 6 AND 45) AS base_sessions
    FROM sess s INNER JOIN cal c ON s.d = c.d
    GROUP BY s.ticker
    HAVING adv_base > 100000 AND dollar_recent >= 500000000 AND recent_sessions = 5 AND base_sessions >= 35
),
scored AS (
    SELECT ticker,
           multiIf(adv_recent / adv_base >= 10, 1,
                   adv_recent / adv_base >= 5, 2,
                   adv_recent / adv_base >= 3, 3,
                   adv_recent / adv_base >= 2, 4,
                   adv_recent / adv_base >= 1.5, 5,
                   adv_recent / adv_base >= 1, 6, 7) AS bucket_key
    FROM per_name
),
buckets AS (
    SELECT arrayJoin([(1, '10x or more'), (2, '5x to 10x'), (3, '3x to 5x'), (4, '2x to 3x'),
                      (5, '1.5x to 2x'), (6, '1x to 1.5x'), (7, 'below 1x')]) AS bk
)
SELECT bk.2 AS rvol_bucket,
       countIf(scored.bucket_key = bk.1) AS names,
       round(100.0 * countIf(scored.bucket_key = bk.1) / count(), 1) AS pct_of_universe,
       count() AS universe_names
FROM scored CROSS JOIN buckets
GROUP BY bk
ORDER BY bk.1 ASC

647 hisa na ETF zilifuta sakafu wiki hii. Kati ya hizo, 2 zilifanya biashara kwa mara kumi ya kawaida yao au zaidi — 0.3% ya ulimwengu. Nyingine 0 zilianguka kwenye kundi la 5x-hadi-10x na 1 kwenye kundi la 3x-hadi-5x. Jedwali la viongozi hapo juu limetolewa kutoka sehemu hiyo nyembamba ya juu ya jedwali. Chini ya hapo, 3 majina yalifanya biashara kwa 2x hadi 3x ya kawaida yao (0.5% ya ulimwengu) na 5 yalianguka kwenye bendi ya 1.5x-hadi-2x (0.8%). Zaidi ya hayo, 19 yalikuwa katika kiwango cha juu kidogo cha 1x hadi 1.5x, 2.9% ya majina yanayostahiki.

Mwisho mwingine wa jedwali ni sehemu ambayo hakuna anayepiga picha ya skrini: 617 majina — 95.4% ya ulimwengu — yalifanya biashara chini ya wastani wao wa vipindi arobaini wiki hii. Hali hiyo ndiyo hali ya kawaida ya soko, na ndiyo inayofanya sehemu ya juu ya jedwali kuwa ya kipekee halisi badala ya hitilafu ya mzunguko.

Je, kiasi kisicho cha kawaida hudumu kwa muda mrefu?

Madai ya watu ni kwamba kiasi kisicho cha kawaida hudumu kwa siku kadhaa, kwa hivyo jina lililo karibu na juu ya ubao kama huu kwa kawaida tayari limefanya harakati zake. Hilo linaweza kujaribiwa. Kwa kila mmoja wa viongozi wanane: ni vipindi ngapi kati ya vitano vilivyoendesha mara mbili ya msingi au zaidi, kipindi kimoja kikubwa zaidi kilikuwa kikubwa kiasi gani, na vipindi vingapi vilitenganisha kipindi hicho kikubwa zaidi na cha mwisho cha wiki.

WITH sess AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           sum(toFloat64(volume)) AS vol,
           sum(toFloat64(close) * toFloat64(volume)) AS dollars
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= now() - INTERVAL 70 DAY
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker, d
),
cal AS (
    SELECT d, row_number() OVER (ORDER BY d DESC) AS rn
    FROM (SELECT DISTINCT d FROM sess)
),
per_name AS (
    SELECT s.ticker AS ticker,
           avgIf(s.vol, c.rn <= 5) AS adv_recent,
           avgIf(s.vol, c.rn BETWEEN 6 AND 45) AS adv_base,
           sumIf(s.dollars, c.rn <= 5) AS dollar_recent,
           countIf(c.rn <= 5) AS recent_sessions,
           countIf(c.rn BETWEEN 6 AND 45) AS base_sessions
    FROM sess s INNER JOIN cal c ON s.d = c.d
    GROUP BY s.ticker
    HAVING adv_base > 100000 AND dollar_recent >= 500000000 AND recent_sessions = 5 AND base_sessions >= 35
),
leaders AS (
    SELECT ticker, adv_recent / adv_base AS rvol_week, adv_base
    FROM per_name
    ORDER BY rvol_week DESC, ticker ASC
    LIMIT 8
),
daily AS (
    SELECT l.ticker AS ticker,
           l.rvol_week AS rvol_week,
           c.rn AS rn,
           s.vol / l.adv_base AS rvol_day
    FROM sess s
    INNER JOIN cal c ON s.d = c.d
    INNER JOIN leaders l ON s.ticker = l.ticker
    WHERE c.rn <= 5
)
SELECT ticker,
       round(max(rvol_week), 1) AS week_rvol,
       countIf(rvol_day >= 2) AS days_above_2x,
       round(max(rvol_day), 1) AS peak_day_rvol,
       argMax(rn, (rvol_day, -rn)) - 1 AS sessions_since_peak
FROM daily
GROUP BY ticker
ORDER BY days_above_2x ASC, peak_day_rvol ASC, ticker ASC

Ikipangwa kwa uthabiti, jina lisilo na uthabiti zaidi kwenye ubao, HLI, lilivuka mara mbili ya msingi wake katika 1 kati ya vipindi vitano, likifikia kilele cha 6.2x. Lenye uthabiti zaidi, JLHL, lilifanya hivyo katika 3 kati ya vitano, likiwa na kilele cha 404.6x. Haya ni matukio ya vipindi vingi, si chapa moja — ambayo ni sababu ya kiufundi kwa nini ubao wa wiki na ubao wa siku huelekea kutaja hisa zilezile.

Safu ya mwisho ni ile ya muda: vipindi kati ya siku nzito zaidi na kipindi cha mwisho cha wiki — 4 kwa HLI, 4 kwa JLHL. Ambapo pengo hilo liko juu ya sifuri, mkanda wenye sauti kubwa zaidi ulikuwa tayari umechapishwa kabla wiki haijafungwa. Ubao unaelezea wiki iliyomalizika; hautabiri ile inayoanza.

Viongozi wa vipindi kumi na vitano, siku kwa siku

Wastani wa wiki huficha muundo. Hapa kuna kiasi cha jamaa cha kila siku cha kiongozi wa sasa — hisa za kila kikao dhidi ya msingi huo wa vipindi arobaini — pamoja na mabadiliko ya kila kikao kutoka ufunguzi hadi kufunga, katika vipindi kumi na vitano vilivyopita:

WITH sess AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           sum(toFloat64(volume)) AS vol,
           sum(toFloat64(close) * toFloat64(volume)) AS dollars,
           argMin(toFloat64(open), toTimeZone(window_start, 'America/New_York')) AS day_open,
           argMax(toFloat64(close), toTimeZone(window_start, 'America/New_York')) AS day_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= now() - INTERVAL 70 DAY
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker, d
),
cal AS (
    SELECT d, row_number() OVER (ORDER BY d DESC) AS rn
    FROM (SELECT DISTINCT d FROM sess)
),
per_name AS (
    SELECT s.ticker AS ticker,
           avgIf(s.vol, c.rn <= 5) AS adv_recent,
           avgIf(s.vol, c.rn BETWEEN 6 AND 45) AS adv_base,
           sumIf(s.dollars, c.rn <= 5) AS dollar_recent,
           countIf(c.rn <= 5) AS recent_sessions,
           countIf(c.rn BETWEEN 6 AND 45) AS base_sessions
    FROM sess s INNER JOIN cal c ON s.d = c.d
    GROUP BY s.ticker
    HAVING adv_base > 100000 AND dollar_recent >= 500000000 AND recent_sessions = 5 AND base_sessions >= 35
),
leader AS (
    SELECT ticker, adv_base
    FROM per_name
    ORDER BY adv_recent / adv_base DESC, ticker ASC
    LIMIT 1
),
path AS (
    SELECT formatDateTime(s.d, '%Y-%m-%d') AS session_date,
           formatDateTime(s.d, '%b %e') AS session_label,
           s.vol / l.adv_base AS rvol_day,
           100.0 * (s.day_close / s.day_open - 1) AS day_pct
    FROM sess s
    INNER JOIN cal c ON s.d = c.d
    INNER JOIN leader l ON s.ticker = l.ticker
    WHERE c.rn <= 15
)
SELECT session_date,
       session_label,
       round(rvol_day, 1) AS rvol_day,
       round(day_pct, 1) AS day_pct,
       round(max(rvol_day) OVER (), 1) AS peak_rvol_day
FROM path
ORDER BY session_date ASC

Vipindi kumi na vitano vilivyopita hisa ilikuwa ikiendesha 0.5x ya msingi wake — jina la kawaida, tulivu. Kikao kizito zaidi katika mfululizo kilifikia 404.6x. Katika kikao cha hivi karibuni, Jul 15, tape bado iliendesha 0.7x na mabadiliko kutoka ufunguzi hadi kufunga ya -3.5%.

Kumbuka kile chati haifanyi: kuoza kwa mstari uliopangwa. Kiasi kilichoinuka huja kwa makundi, na vipindi baada ya kilele vinaweza kuongeza kasi tena badala ya kufifia — sababu moja kwa nini "kiasi kinakauka" ni madai ya kuangalia dhidi ya mfululizo wa kila siku badala ya kudhani. Mfululizo huo huo wa kila siku ndipo kipimo cha kasi cha ndani ya siku kingeanza, kile kilichojengwa kutoka mwanzo katika mwongozo wa kiasi cha jamaa na kinachotumiwa na VWAP.

Kile kichujio kinachotoa

Sheria nne huweka ubao kuwa wa kweli, na kila moja inatupa kitu ambacho msomaji anaweza kutaka kuona:

1. Kiwango cha chini cha $500M kwa kiasi cha dola kwa wiki. Hesabu za hisa pekee hujaza ubao na majina ambapo milioni moja ya hisa ni mabadiliko madogo.
2. Kiwango cha msingi cha zaidi ya hisa 100,000 kwa siku, ili kigawanyo kiwe namba halisi badala ya matokeo ya kukadiria.
3. Angalau siku 35 kati ya 40 zilizopita zilizofanyiwa biashara, ambayo inaondoa orodha mpya kabisa — IPO mpya haina "kawaida" yenye maana ya kugawanya, na ingekuwa inamiliki ubao huu kwa wiki kadhaa.
4. Alama moja iliyotumiwa tena imetengwa: ticker ambayo soko la hisa limeipa orodha mpya hivi karibuni, ambayo historia yake kutoka kwa muuzaji inaunganisha makampuni mawili tofauti pamoja. Kiwango chake cha msingi kingekuwa cha uwongo.

Kanuni ya 1 ndiyo inayoondoa viwango vya juu zaidi vya kuzidisha kwenye ubao. Hizi ndizo sita kubwa zilizotengwa nayo:

WITH sess AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           sum(toFloat64(volume)) AS vol,
           sum(toFloat64(close) * toFloat64(volume)) AS dollars
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= now() - INTERVAL 70 DAY
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker, d
),
cal AS (
    SELECT d, row_number() OVER (ORDER BY d DESC) AS rn
    FROM (SELECT DISTINCT d FROM sess)
),
per_name AS (
    SELECT s.ticker AS ticker,
           avgIf(s.vol, c.rn <= 5) AS adv_recent,
           avgIf(s.vol, c.rn BETWEEN 6 AND 45) AS adv_base,
           sumIf(s.dollars, c.rn <= 5) AS dollar_recent,
           countIf(c.rn <= 5) AS recent_sessions,
           countIf(c.rn BETWEEN 6 AND 45) AS base_sessions
    FROM sess s INNER JOIN cal c ON s.d = c.d
    GROUP BY s.ticker
    HAVING adv_base > 100000 AND recent_sessions = 5 AND base_sessions >= 35
       AND dollar_recent > 0 AND dollar_recent < 500000000
)
SELECT ticker,
       round(adv_recent / adv_base, 1) AS rvol_week,
       round(dollar_recent / 1e6, 1) AS week_dollar_m,
       round(dollar_recent / (adv_recent * 5), 2) AS avg_share_price,
       round(adv_base / 1e6, 2) AS baseline_adv_m
FROM per_name
ORDER BY rvol_week DESC, ticker ASC
LIMIT 6

SOBR ilifanya biashara 109.8x ya kawaida yake, lakini iligeuza $262.4M tu wiki nzima kwa wastani wa bei ya hisa ya $1.04. Nyuma yake: ZBAO kwa 109.3x kwa $72M (wastani wa bei $0.44), WRAP kwa 51.8x kwa $162.5M, CPHI kwa 38.1x kwa $31.8M, KAPA kwa 36.7x kwa $9.5M, na LGPS kwa 20.2x kwa $57.5M. Shughuli halisi, isiyo ya kawaida kwa majina hayo — na kategoria ambapo kuzidisha kunapendeza kiasi kidogo sana cha fedha.

Chanzo cha kiasi kisicho cha kawaida

Wazalishaji wa mara kwa mara, ili ubao usome kwa kasi zaidi: wiki za mapato (earnings weeks), chanzo kilichopangwa; matukio ya kampuni (corporate events) — muunganiko, matoleo, nyongeza na ufutaji wa fahirisi — ambayo huja na kiasi cha kimakanika kisichohusiana na maoni; mienendo ya kubana (squeeze dynamics), ambapo kiasi hujikusanya juu ya kasi ya bei, muundo unaoandikwa na maelezo ya short squeeze; na orodha mpya (new listings), ambazo hutawala rekodi zao wenyewe hadi float itakapokomaa. Ubao wa wiki yoyote kwa kawaida ni mchanganyiko, pamoja na siri moja au mbili za kweli — na siri hizo ndizo safu zinazostahili dakika ya ziada.

Maswali ya Mara kwa Mara kuhusu Kiasi cha Ajabu cha Biashara

Ni kiasi gani kinachukuliwa kuwa kiasi cha ajabu cha biashara kwa hisa?

Hakuna kiwango rasmi, kwa hivyo tumia usambazaji: kati ya 647 majina yanayofikia kiwango cha chini cha ukurasa huu wiki hii, ni 2 pekee yaliyofanya biashara kwa mara 10 ya kawaida yao au zaidi, na 95.4% kwa hakika yalifanya biashara chini ya wastani wao wenyewe. Kitu chochote kilicho juu ya takriban mara 2 tayari kiko katika asilimia chache za juu za soko kwa wiki fulani.

Je, kiasi cha ajabu cha biashara ni cha kuhimiza au cha kukatisha tamaa?

Si chochote kati ya hivyo — ni umakini, na umakini huja pamoja na kupanda na kushuka kwa bei. Wiki hii, kiongozi wa bodi alimaliza vipindi vitano 160.6% kutoka kwa bei yake ya ufunguzi na jina la nane lilimaliza 8.7%; vyote viwili vilistahili kwa kipimo kile kile.

Kiasi cha ajabu cha biashara hudumu kwa muda gani?

Kwa kawaida zaidi ya siku moja. Paneli ya mwendelezo huhesabu vipindi vya kila jina la bodi vilivyo juu ya mara mbili ya kiwango cha msingi: wiki hii vinaanzia 1 kati ya tano (HLI) hadi 3 kati ya tano (JLHL), na kipindi kizito zaidi kwa kawaida hutokea kabla ya wiki kuisha badala ya siku yake ya mwisho.

Kwa nini orodha hutumia kiwango cha chini cha dola kwa kiasi cha biashara?

Kichujio cha idadi ya hisa bila kiwango hiki hujaa na ticker za bei nafuu ambapo kuzidisha ni kubwa na pesa si nyingi: wiki hii, jina kubwa zaidi lililotengwa lilifanya biashara kwa mara 109.8 ya kawaida yake kwa jumla ya $262.4M, kwa bei ya wastani ya $1.04 kwa hisa. Kiwango cha chini cha wiki cha $500M kinahakikisha kila safu kwenye bodi ni halali kiuchumi.

Je, kiasi cha ajabu cha biashara cha hisa kinaonekana pia katika soko la chaguzi?

Mara nyingi, ndiyo — rekodi nzito za hisa na rekodi nzito za chaguzi huwa zinakuja pamoja kwenye majina yale yale, ndiyo maana wafanyabiashara huziangalia zote mbili. Shughuli za chaguzi hupimwa kwa njia tofauti, hata hivyo: mikataba iliyofanywa biashara ni nambari ya mtiririko, wakati maslahi ya wazi huhesabu nafasi ambazo bado zipo, na hizo mbili hujibu maswali tofauti — tazama kiasi cha chaguzi dhidi ya maslahi ya wazi kabla ya kufasiri arifa yoyote ya "shughuli ya ajabu ya chaguzi".

Kila nambari iliyo hapo juu ni swala lililohifadhiwa na kuwekwa toleo — panua SQL chini ya paneli yoyote ili kuona kipimo halisi, au endesha kichujio kile kile kwa dirisha lolote unalotaka kwenye terminal ya Strasmore.