Kimiyyar Kasuwancin Algo: Nau’ikan, Robots Aiki da Dabaru 2024

Tattalin arzikin zamani ba zai yiwu ba tare da musanya da kasuwar hannun jari. Ana kiran ciniki akan waɗannan rukunin yanar gizon
ciniki . ‘Yan kasuwa suna yin amfani da damar fasahar kwamfuta don sauƙaƙe tafiyar da kasuwancin su. Ciniki ta amfani da tsarin lissafi da fasahar kwamfuta ana kiranta ciniki algorithmic. Wannan labarin yayi magana game da irin wannan nau’in ciniki a kasuwannin hada-hadar kudi, nau’ikansa, hanyoyin da ake amfani da su, fa’ida da rashin amfani, software da ake amfani da su.

Menene ciniki na Algorithmic (ciniki na algorithmic)

Kalmar “ciniki na algorithmic” ko “ciniki na algorithmic” yana da ma’ana biyu. A cikin shari’ar farko, wannan kalma tana nufin hanyar aiwatar da babban oda a kasuwa, bisa ga yadda ake buɗe ta a hankali bisa ga wasu ƙa’idodi kuma ana rarraba ta kai tsaye zuwa ƙananan umarni da yawa, waɗanda ke da nasu farashi da girma. Ana aika kowane oda zuwa kasuwa don aiwatarwa. Manufar fasahar ita ce sauƙaƙe wa ’yan kasuwa don yin manyan sana’o’i waɗanda ke buƙatar yin su ta hanya mafi ƙanƙanta. Misali, kuna buƙatar siyan hannun jari 200,000, kuma kowane matsayi ya haɗa da hannun jari 4 a lokaci guda.
Ma’ana ta biyu na wannan kalma ita ce tsarin da ke buɗe umarni bisa ga wani algorithm da aka bayar ba tare da sa hannun ɗan kasuwa ba. An saita algorithms don samun riba kai tsaye daga nazarin kasuwa ta atomatik. Ana kuma kiran waɗannan tsarin ”
robot ciniki “. Ana amfani da ciniki na algorithmic da ciniki na algorithmic akan musayar, gami da musayar cryptocurrency, da Forex.

Menene ma’anar ciniki na algorithmic?

Kasuwancin Algo ya ƙunshi tattara bayanai akan takamaiman kadara bisa tarihin ci gabanta, zaɓin algorithms don ma’amaloli da mutummutumin ciniki masu dacewa. Don ƙayyade farashin, ana amfani da ka’idar yiwuwar, ƙarancin kasuwa da yiwuwar sake dawowa a nan gaba. Akwai nau’ikan zaɓe guda uku. Tare da dabarar hannu, ƙwararren yana amfani da dabarun lissafi da ƙirar jiki. Hanyar kwayoyin halitta ta ƙunshi haɓaka dokoki ta tsarin kwamfuta da basirar wucin gadi. Ana kera ta atomatik ta wani shiri na musamman na kwamfuta wanda ke sarrafa tsararrun dokoki kuma yana gwada su.

Wadanne nau’ikan ciniki na algorithmic suke wanzu?

Ana aiwatar da ciniki na algorithmic a manyan yankuna da yawa:

1. Binciken Fasaha . Yin amfani da gazawar kasuwa da gano abubuwan da ke faruwa a halin yanzu ta hanyar nazarin lissafi na gargajiya da na zahiri.
2. Yin kasuwa . Wannan hanya tana kula da yawan kuɗin kasuwa. Ana samun lada ga masu yin kasuwa ta hanyar musayar ta hanyar biyan bukata, gami da cin riba. Dabarar ta dogara ne akan lissafin kuɗi da saurin kwararar bayanai daga kasuwanni.
3. Gudun gaba . Binciken ƙarar umarni ta kayan aiki da zaɓin mafi girma daga cikinsu. Wannan dabarar ta dogara ne akan gaskiyar cewa babban oda zai sami farashi mai girma kuma zai jawo hankalin oda da yawa. Algorithms suna nazarin tef da yin odar bayanan littafin da ƙoƙarin gyara motsi yayin manyan ma’amaloli da sauri fiye da sauran mahalarta.
4. Biyu da Kasuwancin Kwando . Kayan aiki biyu ko fiye suna da alaƙa da babban, amma ba ɗaya-zuwa ɗaya ba, daidaitawa. Karɓar ɗayan kayan aikin daga kwas ɗin da aka bayar yana nufin cewa zai fi dacewa ya koma ƙungiyarsa. Ƙaddamar da haɗin kai yana taimakawa wajen yin ciniki mai riba.
5. Hukunci . Hanyar ta dogara ne akan kwatanta kadarori tare da haɓakar farashi iri ɗaya. Wannan kamanni a wasu lokuta ana keta shi saboda dalilai daban-daban. Asalin sasantawa shine siyar da kadara mafi tsada da siyan mai rahusa. A sakamakon haka, kadarorin za su daidaita a farashin, kuma kadari mai rahusa zai karu a farashin. Tsarin ciniki na Algorithmic yana gano canje-canjen farashi a kasuwa kuma suna yin yarjejeniyar sasantawa mai fa’ida. [taken magana id = “abin da aka makala_12595” align = “aligncenter” nisa = “650”] Dabarun ciniki na algorithmic na Hasashen[/ taken magana]
6. Ciniki mara ƙarfi . Wani hadadden nau’in ciniki, wanda ya ƙunshi siyan zaɓuɓɓuka daban-daban. Mai ciniki yana tsammanin rashin daidaituwa na hannun jari ya karu lokacin sayarwa da raguwa lokacin siye. Irin wannan ciniki yana buƙatar ƙarfin kayan aiki mai mahimmanci da ƙwararrun kwararru.

Dabarun aiki a cikin ciniki na algorithmic, duk gaskiyar game da cinikin robot: https://youtu.be/eg3s0c_X_ao

Yaushe kuma ta yaya kasuwancin algorithmic ya bayyana, a matsayin sabon abu

An haɓaka ciniki na Algorithmic a farkon shekarun 1970 tare da ƙirƙirar NASDAQ, musayar farko don amfani da kasuwancin kwamfuta. A wancan zamani, ciniki na algorithmic yana samuwa ne kawai ga manyan masu zuba jari, talakawa ba su da damar yin amfani da irin wannan fasaha. Kwamfuta a lokacin ba su cika kamala ba, kuma a shekarar 1987 an samu kuskuren hardware wanda ya kai ga rugujewar kasuwar Amurka. A cikin 1998, SEC – Hukumar Tsaro ta Amurka ta ba da izinin amfani da dandamali na kasuwanci na lantarki. Ya kamata a yi la’akari da wannan shekara ranar bayyanar kasuwancin algorithmic a cikin tsarin zamani. [taken magana id = “abin da aka makala_12604” align = “aligncenter” nisa = “663”]
Dalilan yin ciniki ta atomatik[/taken magana] A farkon shekarun 2000, an gudanar da mu’amala ta amfani da kwamfutoci a cikin ‘yan daƙiƙa kaɗan. Amma rabon robobi a kasuwa bai kai kashi 90 cikin dari ba. A shekara ta 2009, oda kan musayar ya ƙare a cikin millise seconds, kuma
robots na kasuwanci sun aiwatar da kashi 60% na ma’amaloli. Bayan 2012, yanayin ya canza. Rashin hasashen kasuwa ya haifar da gazawa a cikin software na lokacin. An rage yawan adadin kasuwancin da aka aiwatar ta atomatik zuwa kashi 50 na jimlar. Don kauce wa kuskure, an fara haɓakawa da aiwatar da hankali na wucin gadi.

Ta yaya kasuwancin algorithmic ya bambanta da ciniki na algorithmic?

Duk da kamanceceniya na ra’ayi, yakamata mutum ya bambanta tsakanin ra’ayoyin “ciniki na algorithmic” da “ciniki na algorithmic”. A cikin shari’a ta farko, hanyar aiwatar da babban tsari ta hanyar rarraba shi zuwa sassa sannan a mika shi bisa ga wasu ka’idoji yana nufin, a cikin na biyu kuma, suna magana ne game da tsarin sarrafa kansa wanda ke ba da umarni ba tare da dan kasuwa ba bisa ga wani takamaiman tsari. algorithm. Ana amfani da algorithms a cikin ciniki na algorithmic don sauƙaƙe aiwatar da manyan ma’amaloli ta ɗan kasuwa. A cikin kasuwancin algorithmic, ana amfani da su don nazarin kasuwa da bude matsayi don ƙara yawan kudin shiga.

Wane software ne ya dace da ciniki na algorithmic?

Tunda ciniki na algorithmic ya ƙunshi amfani da fasahar kwamfuta, kuna buƙatar zaɓar software mai dacewa. Robot ciniki shine babban kayan aiki don yin ciniki ta atomatik. Kuna iya haɓaka shi da kanku ta amfani
da yarukan shirye-shirye , ko amfani da dandamali don ƙirƙirar shi.

Menene ya kamata a tuna kafin yin ciniki na algorithmic?

Na farko, yana da kyau a ambata cewa mai ciniki na algo yana buƙatar samun damar tsarawa, saboda yawancin dandamali ana iya ƙware ta hanyar ƙwarewar wannan fasaha. Harshen shirye-shiryen da ake amfani da shi don ciniki na algorithmic dole ne ya dace da duk dandamali da algorithms da ake haɓakawa. Yaren shirye-shirye mafi dacewa shine C # (C-sharp). Ana amfani da shi a cikin dandamali kamar TSlab, StockSharp, WealthLab. Ba tare da sanin yaren shirye-shirye ba, shirye-shiryen 2 na ƙarshe dole ne a ƙware tsawon watanni da yawa. [taken magana id = “abin da aka makala_12606” align = “aligncenter” nisa = “558
”

TSlab shine ɗayan shahararrun shirye-shirye don gudanar da algorithmbots.

Dandalin don ƙirƙira, gwaji da ƙaddamar
da mutummutumi da tsarin kasuwanci. Ya haɗa da editan gani mai dacewa a cikin nau’in cubes, wanda zai ba ku damar haɓaka robot ba tare da sanin yaren shirye-shirye ba. Kuna iya haɗa algorithm ɗin ciniki da ake so daga cubes. Tarihin kayan ciniki da aka tattara ta shirin zai ba ku damar ganowa da gyara kurakurai a cikin rubutun, yayin da kayan aikin bincike na fasaha zasu taimaka muku ƙirƙirar mafita na musamman.

Shigarwa

Don shigar da dandamali, kuna buƙatar saukar da mai sakawa daga gidan yanar gizon hukuma. Shafin zazzagewar ya bayyana cewa shirin yana aiki ne kawai akan nau’ikan Windows 64-bit. Bayan zazzagewa, buɗe fayil ɗin shigarwa. Kafin shigar, zai sa ka shigar da sabon sigar .NET Framework da Visual C++ Redistributable Studio.

Idan nau’ikan waɗannan shirye-shiryen ba su samuwa ba, ya kamata ka shigar da su. Dandalin ba zai yi aiki ba tare da su ba. Idan ana samun sabbin nau’ikan waɗannan shirye-shiryen, taga farkon mai sakawa zai buɗe. Mu danna “Next”.
Mun yarda da sharuɗɗan yarjejeniyar lasisi kuma mun zaɓi hanyar da za a shigar da shirin.

Sa’an nan kuma ya kamata ka ba da izini don shigarwa kuma jira ya kammala.
Lokacin da aka gama shigarwa, taga mai dacewa zai buɗe. Kuna iya gudanar da shirin bayan shigarwa.

Horo a cikin ciniki na algorithmic a TSlab

Saitin mai kaya

Don saitawa da gwada mutum-mutumin ciniki, kuna buƙatar samun tarihin ƙididdiga. Don samun tarihin ƙididdiga, kuna buƙatar saita mai ba da bayanai. A cikin menu na “Data”, zaɓi abu “Masu kawo kaya”.
Za a buɗe shafin dillalai mara komai. Muna buƙatar danna maɓallin “Ƙara”. A cikin akwatin maganganu da ke buɗewa, zaɓi “Bayanan Tarihi”. A wannan mataki, kuna buƙatar zaɓar nau’in bayanai don ƙididdiga. A wannan yanayin, an zaɓi fayil ɗin rubutu tare da ƙididdiga tare da matakin farashi na 0.01. Zazzage fayil ɗin da ake buƙata daga ma’ajiyar.

Zazzage fayil ɗin 1.rand.quote.step=0.01_1m.txt.zip. Da zarar an sauke, nemo fayil ɗin a cikin babban fayil ɗin zazzagewa kuma cire shi daga ma’ajiyar. Muna komawa zuwa TSlab kuma zaɓi abu “Masu kawo kaya” a cikin menu na “Data”.
Madaidaicin taga zai buɗe. Kuna buƙatar danna maɓallin “Ƙara”.
Tagan Ƙara Supplier zai buɗe. A ciki, zaɓi abu “Bayanan Tarihi”, sannan danna “Na gaba”.
A cikin taga na gaba, saka suna da nau’in bayanai na mai bayarwa. Saita sunan zuwa TextData da nau’in bayanai zuwa Fayilolin Rubutu. Muna danna “Next”.
Zaɓi hanyar zuwa mai kaya. Hanyar da ta dace ita ce C: ProgramData TLab TLab 2.1 Ma’aikata Rubutun. Kuna iya ƙayyade wata hanya ta daban ta danna … a cikin mashaya hanya. Mun saita hanyar fayil ɗin mu, bayan haka mun saita sigogi: 1. Adadin wurare na ƙima shine 2. 2. Ana ƙayyade matakin farashin ta atomatik idan ya kasa 1. Fayil tare da mataki na 0.01 kuma yana ƙayyade 1. sa hannu a cikin saitunan zai zaɓi mataki na 0.1
Latsa zuwa maɓallin “Na gaba”. A cikin taga masu bayarwa, mai bada bayanan TextData zai zama bayyane.

Ƙirƙirar rubutun

Dandalin TSlab yana ba ku damar haɓaka algorithms na kasuwanci, gwadawa da ƙirƙirar mutummutumi na kasuwanci – wakilai. Amma kafin ƙirƙirar algorithm na ciniki, kuna buƙatar rubuta masa rubutun. Don yin wannan, zaɓi “Lab” a cikin menu. Zaɓi “Scripts” daga jerin zaɓuka.
Za a buɗe akwatin maganganu, inda za mu danna “Create New”. A cikin taga na biyu, shigar da sunan rubutun kuma danna “Ok”.
Danna maɓallin linzamin kwamfuta na hagu sau biyu akan rubutun da aka ƙirƙira don gyarawa. Za mu ga editan rubutun gani.

Katangar shuɗi mai rectangular ita ce “kayan ciniki”. Gray rectangle “Volume 1” – yawan aiki tare da zaɓuɓɓuka ko kwangila na gaba na wani lokaci. Toshe “Rufewa” yana nuna farashin rufe mashaya. Toshe “Chart panel” yana haifar da madaidaicin panel.
Danna dama. Zaɓi “Properties” daga menu mai saukewa. Zaɓi shafin Rubutun.
Kashe “Amfani daga nan”. Zaɓi shafin “Sources”, kuma a ciki – kayan aiki. Danna kan wannan filin. Tagan “Zaɓi Securities” zai buɗe, wanda a ciki za ku buƙaci zaɓar mai samar da bayanan TextData kuma saka kayan aiki – ƙididdiga na fayil ɗin rubutu 1.rand.quote.step=0.01_1m. Danna “Ok” don tabbatarwa.

Bayan zabar kayan aiki, shafin da ke da hoton ginshiƙi da kuma rubutun “Loading” zai bayyana a saman taga. Bayan sarrafa bayanan, sunan kayan aikin da aka zaɓa zai bayyana akan wannan shafin – 1.rand.quote.step=0.01_1m

Danna “Ajiye kuma aiwatar” bayan loda bayanan.
An tsara wannan rubutun don nuna kayan aiki akan ginshiƙi. A ƙarshe, shafin jadawali zai buɗe. Algorithms ciniki da wakilan ciniki an saita su ta irin wannan hanya. Kamar yadda kake gani, ciniki na algorithmic tare da taimakon TSlab yana samuwa ga kusan kowa da kowa kuma baya buƙatar horo na farko. Babban fa’idar TSlab shine cewa kowane mai amfani zai iya fara harhada robobin ciniki bayan kwanaki 2-3 na nazarin dandamali. Editan gani ne ya sauƙaƙe wannan. Tare da taimakon edita, za ku koyi tunanin da ake bukata a cikin ciniki na algorithmic. TSlab yana goyan bayan yaren C #, ƙarin shirye-shirye akan wannan dandali ana iya ci gaba da amfani da TSlab API. Duk da haka, ƙarin nutsewa a cikin ciniki na algorithmic ya fi kyau a ci gaba da shirye-shirye masu rikitarwa.

stocksharp

Stocksharp ɗakin karatu ne na mutummutumi na kasuwanci da aka rubuta a cikin C #. Ana harhada robobin ciniki a cikin yanayin shirye-shiryen Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Kayayyakin Hukumance. Don haka, kafin rubuta mutum-mutumi ta amfani da wannan kayan aiki, kuna buƙatar ɗaukar akalla watanni shida koyan yaren shirye-shirye. Ba kowa ba ne ke iya kammala karatun har ƙarshe. Koyaya, amfani da wannan dandali yana da cikakkiyar barata a aikace.

WealthLab

WealthLab wani dandamali ne don gwaji da haɓaka robots da tsarin kasuwanci daga Fidelity. Akwai nau’ikan shirin guda biyu: Pro don ‘yan ƙasar Amurka tare da asusun aminci, da Mai haɓakawa ga kowa. WealthLab yana ba ku damar amfani da kayan aikin bincike na fasaha a cikin haɓaka robots, karɓar sigina don shiga da rufe yarjejeniya da canja wurin su zuwa tashar. Idan mai ciniki bai san yadda ake tsarawa ba, zai iya amfani da mataimaki (mayya). Dandalin yana dogara ne akan C # da kuma harsunan shirye-shiryen Pascal. Dandalin yana zana zane-zane a cikin nau’i na sassa, fitilu na Japan, zane-zane, da dai sauransu.
Babban aikin shirin shine ingantawa da gwada dabarun da suka danganci bayanan tarihi. WealthLab za a iya koyan ba da sauri kamar TSlab ba, amma a cikin watanni 2 kawai. Harshen shirye-shiryen da aka gina a ciki yana ba da dama mai yawa wajen ƙirƙirar dabarun ciniki masu riba. Mai ciniki zai iya haɗa dandamali tare da kunshin software na Quik, wanda zai ba da damar yin oda a layi.

Wadanne dabaru ake amfani da su don cinikin algorithmic?

Don ciniki ta amfani da algorithms don kawo sakamako mai ma’ana, kuna buƙatar tsayawa kan dabarun da aka tsara don takamaiman yanayi.

1. Dabarun Hasashen . Ana nufin cimma mafi kyawun farashi don shigar da ma’amala don riba mai zuwa. Mafi yawan ‘yan kasuwa masu zaman kansu ke amfani da su.
2. data hakar ma’adinai . Neman sababbin alamu don sababbin algorithms. Yawancin bayanai ana tattara su akan wannan dabarun kafin gwaji. Ana neman bayanai ta saitunan hannu.
3. TWAP shine matsakaicin farashi mai nauyin lokaci. Bude oda a cikin tazarar lokaci daidai a mafi kyawun farashi da tayin farashin.
4. VWAP – matsakaicin farashi mai nauyin girma. Buɗe matsayi a cikin sassa daidai da ƙarar guda ɗaya don wani lokaci da farashin da bai fi girma ba.
5. Dabarun aiwatarwa . Dabarar da aka yi amfani da ita don siyan kadara a matsakaicin farashi mai nauyi a babban girma. Dillalai da kudaden shinge ke amfani da su.

[taken magana id = “abin da aka makala_12599” align = “aligncenter” nisa = “768”] Mai
gini don ƙirƙirar dabarun ciniki mai sarrafa kansa[/ taken magana]

Yadda za a hana asarar lokacin yin ciniki na algorithmic, gudanar da haɗari

Babban kuskure ne a yi imani cewa mai ciniki na algorithmic kawai yana buƙatar ƙirƙirar mutum-mutumin ciniki. Dole ne a hana duk haɗari kuma a kawar da su. Katsewa a cikin wutar lantarki, haɗin Intanet da kurakurai a cikin ƙididdiga da shirye-shirye na iya haifar da hasara mai yawa kuma gaba ɗaya ta hana ku samun kuɗi. [taken magana id = “abin da aka makala_12559” align = “aligncenter” nisa = “938”]
Yadda aka ƙirƙiri dabarun ciniki na algorithm[/taken magana] Sabar kayan aikin da ake gudanar da ciniki na algorithmic na iya faɗuwa ba zato ba tsammani ko kuma tsarin aiki na iya sake yin aiki a kai. Don kawar da matsaloli tare da uwar garken, zaku iya hayan sabar ko haɓaka naku. Idan babu wannan, kuna buƙatar ɗaukar sabar daga madaidaicin mai bada tare da haɗi mai kyau. Ya kamata tsarin ya kasance yana da ƙaramin ƙarfin wuta na 40-50%. Matsalolin haɗin kai koyaushe suna faruwa ba zato ba tsammani. Kuna iya saita haɗin don musayar ya rufe wurare bayan haɗin ya ɓace. Ana bin cin hanci da rashawa na fakitin bayanai ta hanyar bin algorithms na WatchDog. Dabarun ciniki da ake amfani da su a cikin ciniki ba su da kamala kuma haɗuwarsu na iya haifar da sakamako daban-daban. A cikin aikace-aikace, ana iya yin kurakuran API. Farashin, girma, ƙimar kuri’a na iya nunawa ba daidai ba. Har ila yau, ana iya gudanar da sana’o’i a karshen mako ko hutu, dabarun ciniki ko iyakokin asusun an keta su.

Don kawar da waɗannan kurakurai, wajibi ne a saka idanu da kuma nazarin umarni da iyakokin dabarun ciniki don kawar da kuskuren kuskure.

A cikin yanayin yanayi na gaggawa, ya zama dole a sanar da duk masu sha’awar hakan nan da nan ta hanyar SMS, e-mail, saƙon gaggawa da sauran tashoshin sadarwa. Yana da mahimmanci a rubuta kowace gazawar a cikin rajistan ayyukan don hana maimaita ta a nan gaba. Yadda ake ƙirƙirar kudin shiga mara izini tare da ciniki na algorithmic: https://youtu.be/UeUANvatDdo

Kasuwancin Algo: abũbuwan amfãni da rashin amfani

Kasuwancin mutum-mutumi ba su ƙarƙashin abubuwan “mutum” waɗanda za su iya shafar aikinsu: gajiya, rugujewar tunani, da sauransu. Wannan shine babban fa’idar ciniki na algorithmic. Algorithms suna bin ingantaccen tsarin shirin kuma baya karkata daga gare ta. Kasuwancin Algo yana da rashin amfani da yawa. Waɗannan sun haɗa da, musamman, rashin samun bayanan irin wannan nau’in ciniki a cikin jama’a. Dole ne ɗan kasuwa na algorithm ya kasance ƙwararren shirye-shirye, wanda ke da wahala ga yawancin ƙwararrun kuɗi. Idan kasuwa ya canza, dole ne ku canza algorithm gaba daya. A cikin rubuta wani mutum-mutumi na kasuwanci, ana iya yin kuskure wanda zai jagoranci dukkan algorithm zuwa hanyar da ba daidai ba, kuma wannan zai haifar da asarar kuɗi.
Kasuwancin Algorithmic wani nau’in ciniki ne mai rikitarwa wanda ke buƙatar ilimi ba kawai a cikin ciniki ba, har ma a cikin lissafi da shirye-shirye. Ya zama dole ba kawai don samun damar ƙirƙirar algorithm da ake so ba, har ma don hana matsalolin haɗin gwiwa, kurakurai a cikin algorithms da lambar shirin. Kuna buƙatar yin tunani a hankali kafin yanke shawarar kasuwanci ta wannan hanyar. Duk da haka, bayan ƙware shi kuma ya yi amfani da shi daidai a aikace, mai ciniki zai sami karuwa mai yawa a cikin kudaden shiga kuma ya sauƙaƙe aikinsa.