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Indlela yokuNxibelela ubukrelekrele boBuzenzisi kwiRhwebo

4.3 kwi 5 iinkwenkwezi (3 iivoti)

Intelligence Intelligence (AI) iguqula ishishini lokurhweba ngokwandisa ukusebenza kakuhle, ukuchaneka, kunye nenzuzo. Eli nqaku liphonononga I-AI impembelelo kurhwebo, ukusuka kwiingqikelelo ezisisiseko ukuya kwizicelo, izibonelelo, imiceli mngeni, kunye nethemba elizayo, inika ulwazi malunga nendlela traders inokunyusa i-AI kumda wokhuphiswano. Sijoyine ukuze ufumane amandla okuguqula i-AI kurhwebo.

Ukurhweba nge-AI

💡 Izinto ezibalulekileyo ezithathwayo

  1. Ukusebenza kunye nesantya: I-AI yonyusa kakhulu ukusebenza kunye nesantya kuhlalutyo lwedatha, ivumela ukuqonda kwangexesha langempela kunye nokukhawuleza trade ukubulawa, iindlela zemveli ezingenako ukuhambelana.
  2. Ulawulo loMngcipheko olongezelelweyo: Ukukwazi kwe-AI ukuqhubeka nokubeka iliso kwiimeko zemarike kunye nokuvavanya imingcipheko ngexesha lokwenyani kunceda trader ilawula iiphothifoliyo ngempumelelo ngakumbi kwaye ithintele ilahleko enokubakho.
  3. IziCwangciso zokuRhweba ezenzelwe wena: I-AI inokubonelela ngezicwangciso zezemali ezilungiselelwe kakhulu ngokuhlalutya iinjongo zomntu ngamnye kunye nokunyamezela umngcipheko, ukulungelelanisa iingcebiso ngokuguquguqukayo njengoko iimeko zemarike kunye neemfuno zomntu zitshintsha.
  4. Imingeni ye-AI kuRhwebo: Ngaphandle kwentengiso yayovantages, i-AI ekurhwebeni ijongene nemingeni efana nomgangatho wedatha, i-algorithmic bias, ukuthotyelwa kolawulo, kunye neengqwalasela zokuziphatha, ezimele ziqwalaselwe ukuqinisekisa ukusetyenziswa okusebenzayo nokufanelekileyo.
  5. Ithemba Elizayo: Ikamva le-AI kurhwebo liyathembisa, kunye nenkqubela phambili efana ne-quantum computing ilungele ukuqhubela phambili izakhono ze-AI, ukwenza urhwebo lusebenze ngakumbi kwaye luchaneke ngelixa ugcina indima ebalulekileyo yokongamela komntu.

Nangona kunjalo, umlingo ukwinkcukacha! Cazulula ama-nuances abalulekileyo kula macandelo alandelayo ... Okanye, gxuma ngqo kuthi Ii-FAQ ezipakishwe ngokuqonda!

1. Isishwankathelo soBukrelekrele bokwenziwa kunye noRhwebo

1.1. Chaza i-Artificial Intelligence (AI) kunye nokuFunda koMatshini

I-Artificial Intelligence ibhekisa kukulinganisa ubukrelekrele bomntu koomatshini abacwangciselwe ukucinga kwaye funda njengabantu. AI Iinkqubo ziyakwazi ukwenza imisebenzi enjengokusombulula iingxaki, ukuqonda intetho, ukwenza izigqibo, kunye nokuguqulela ulwimi. Basebenzisa iiseti zedatha ezinkulu kunye ne-algorithms ephezulu ukuchonga iipateni kunye nokwenza uqikelelo.

Ukufunda ngoomatshini yi-subset ye-AI egxile ekuphuhliseni i-algorithms evumela iikhomputha ukuba zifunde kwaye zenze izigqibo ezisekelwe kwidatha. Ngokungafaniyo nenkqubo yemveli apho imithetho ibhalwe ngokucacileyo, ii-algorithms zeML zisebenzisa ubuchule bamanani ukwenza iinkqubo ziphucule ukusebenza kwazo ngokuhamba kwexesha ngaphandle kokucwangciswa ngokucacileyo kuwo wonke umsebenzi.

1.2. Amagqabantshintshi eeNdlela zokuRhweba zesiNtu

zeMveli urhwebo iindlela ziye zathembela ngokuyintloko kwisigqibo somntu kunye nohlalutyo. Abarhwebi basebenzisa uhlalutyo oluphambili, ebandakanya ukuvavanya ingxelo yemali yenkampani, ulawulo, kunye nemeko yemarike, kunye uhlalutyo yobugcisa, egxininisa kwiipateni zexabiso zembali kunye nezalathi zemarike. Ezi ndlela zifuna ixesha elibalulekileyo kunye nomgudu wokuqokelela kunye nokuhlalutya idatha, kwaye zihlala zilinganiselwe ngokuthambekela kwabantu kunye neemvakalelo.

1.3. Ukubakho kwe-AI ekuguquleni uShishino loRhwebo

I-AI inamandla okuguqula ishishini lokurhweba ngokuzenzekela iinkqubo zokwenza izigqibo ezintsonkothileyo, ukuhlalutya izixa ezikhulu zedatha ngesantya esingazange senzeke ngaphambili, kunye nokuchonga iipateni ezingabonakali lula ngabantu. traders. I-AI inokubonelela ngeengqikelelo ezichanekileyo zeemarike, ukuphucula ingozi ulawulo, kunye nokutyhila amathuba okurhweba iindlela zemveli ezinokuphoswa.

1.4. Isiteyithimenti sethesis

Ngokuqonda kunye nokuphumeza ngempumelelo i-AI, traders banokufumana umda wokukhuphisana kunye nokwandisa kwabo izicwangciso zorhwebo. Ukuhlanganiswa kwe-AI kwizenzo zokurhweba akuthembisi nje ukwandisa ukusebenza kakuhle kunye nokuchaneka kodwa kunye nokukwazi ukufumana imbuyekezo ephezulu kunye nokunciphisa ilahleko.

Ukurhweba ngeArtificial Intelligence

Icandelo Amaphuzu aphambili
Chaza i-Artificial Intelligence (AI) kunye nokuFunda koMatshini I-AI ilinganisa ubukrelekrele bomntu koomatshini. I-ML yi-subset ye-AI evumela iikhompyutha ukuba zifunde kwiidatha.
Amagqabantshintshi amafutshane kwiiNdlela zokuRhweba zesiNtu Iindlela zemveli zixhomekeke kuhlalutyo olusisiseko kunye nobuchwepheshe olwenziwa ngabantu.
Gxininisa amandla e-AI ekuguquleni uShishino loRhwebo I-AI yenza ngokuzenzekelayo ukwenza izigqibo, ihlalutya idatha ngokukhawuleza, iphucula ukuqikelelwa, kwaye ichonge amathuba okurhweba.
Isiteyithimenti sethesis Ukuphunyezwa kwe-AI okusebenzayo kunika umda wokukhuphisana, ukulungelelanisa izicwangciso zokurhweba kunye nokuphucula iziphumo.

2. Ukuqonda i-AI kwiRhwebo

2.1. Isebenza njani i-AI kumxholo wokuRhweba

I-Artificial Intelligence (AI) ekurhwebeni iphakamisa i-algorithms entsonkothileyo kunye nesixa esikhulu sedatha ekufuneka yenziwe. trades, ukuhlalutya iimeko zemarike, kunye nokwandisa utyalo-mali izicwangciso. Umsebenzi ongundoqo we-AI kurhwebo ubandakanya:

  1. Ukurhweba kwe-Algorithmic: Ii-algorithms eziqhutywa yi-AI ziqhuba tradekwizantya eziphezulu ezisekelwe kwiikhrayitheriya ezichazwe kwangaphambili, ezihlala zixhaphaza ukungasebenzi kakuhle kweemarike eziphantse zingenzeki ukuba zibonwe ngabantu. Ezi algorithms zihlalutya idatha yemarike ngexesha langempela kwaye zingenza izigqibo zokwahlula-isibini ukuthenga okanye ukuthengisa impahla.
  2. Uhlalutyo lwesivakalisi: Iisistim ze-AI zinokuqhuba izixa ezikhulu zedatha engacwangciswanga, njenge iindaba amanqaku, izithuba kwimidiya yoluntu, kunye neengxelo zemali, ukulinganisa uvakalelo lwemarike. Olu hlalutyo lunceda ukuqikelela ukunyakaza kweemarike ngokuqonda uluvo loluntu kunye neempembelelo zeendaba.
  3. Uhlalutyo lokuQikelela: Iimodeli ze-AI zisebenzisa idatha yembali kunye nobuchule bokufunda ngomatshini ukuqikelela amaxabiso esitokhwe kwixesha elizayo kunye nemarike iintsingiselo. Ezi ziqikelelo ziyenzeka trader ukwenza izigqibo ezinolwazi ngakumbi, okunokubakho ukwandisa inzuzo kunye nokunciphisa umngcipheko.
  4. Ulawulo lwengozi: Izixhobo ze-AI zivavanya kwaye zilawule umngcipheko ngokuhlalutya ngokuqhubekayo idatha ukuchonga iingozi ezinokubakho kutyalo-mali portfolio. Bangakwazi ukulungelelanisa izicwangciso zokurhweba ngexesha langempela ukunciphisa ingozi ngokufanelekileyo.
  5. Ukulungiswa kwePotifoliyo: Iinkqubo zolawulo lweepotfoliyo eziqhutywa yi-AI zikhulisa ukwabiwa kwe-asethi ukulungelelanisa umngcipheko kunye nembuyekezo ngokusekelwe kwiinjongo zomtyali-mali kunye nemiqobo. Ezi nkqubo zisebenzisa i-algorithms ephucukileyo ukulungelelanisa ngokuqhubekayo ipotfoliyo yempumelelo enkulu.

2.2. Iindidi ze-AI Algorithms ezisetyenziswa kwiRhwebo

I-AI kurhwebo isebenzisa ii-algorithms ezahlukeneyo, nganye inamandla ahlukileyo:

  1. Inethiwekhi yeNeural: Ezi algorithms zilinganisa ubume bobuchopho bomntu kwaye zisebenza ngokukodwa ekuchongeni iipateni ezinzima kwiiseti zedatha. Zisetyenziselwa imisebenzi efana noqikelelo lwexabiso kunye nokuqatshelwa kwepateni.
  2. Imithi yezigqibo: Ezi zi-algorithms zenza izigqibo ezisekelwe kuluhlu lwemibuzo yokubini, okwenza kube luncedo kwimisebenzi yokuhlela kunye neenkqubo zokwenza izigqibo kwiindlela zokurhweba.
  3. Inkxaso koomatshini beVector (SVMs): Ii-SVM zisetyenziselwa ukuhlelwa kunye nemisebenzi yokubuyisela, inceda ukuchonga umda wesigqibo esifanelekileyo phakathi kweeklasi ezahlukeneyo zamanqaku edatha.
  4. Ukusetyenziswa koLwimi lweNdalo (NLP): Ii-algorithms ze-NLP zihlalutya kwaye zitolika ulwimi lwabantu ukusuka kumanqaku eendaba, imidiya yoluntu, kunye neminye imithombo yombhalo ukulinganisa uvakalelo lwemarike kunye nokwenza izigqibo zokurhweba ezinolwazi.

2.3. Indima yokuFunda koomatshini kwi-AI yokuRhweba

UkuFunda ngoomatshini (ML) kubalulekile kwi Ukurhweba nge-AI, ukuvumela iinkqubo ukuba zifunde kwiinkcukacha zembali kunye nokuphucula ixesha. Imiba ephambili ibandakanya:

  1. UkuFunda ngokuBekwa: Kubandakanya ukuqeqesha imodeli kwidatha ebhaliweyo, eyenza ukuba yenze uqikelelo okanye izigqibo ezisekelwe kwidatha entsha, engabonakaliyo. Oku ngokuqhelekileyo kusetyenziselwa ukubikezelwa kwexabiso kunye nohlalutyo lwentsingiselo.
  2. UkuFunda okungalawulwa: Le ndlela ichonga iipateni kunye nobudlelwane kwidatha ngaphandle kweelebhile zangaphambili. Iluncedo ekuhlanganiseni iimeko zorhwebo ezifanayo kunye nokufumanisa izakhiwo zemarike ezifihlakeleyo.
  3. Ukomeleza ukuFunda: Obu buchule bubandakanya i-algorithms yoqeqesho ngokusebenzisa inkqubo yemivuzo kunye nezohlwayo, ukubanceda ukuba basebenzise izicwangciso-qhinga zorhwebo ngokufunda kwiziphumo zezenzo zabo.

2.4. Ukubaluleka kweDatha kwi-AI yoRhwebo

Idatha yinkqubo yorhwebo ye-AI. Umgangatho kunye nobungakanani bedatha ichaphazela kakhulu ukusebenza kweemodeli ze-AI. Iinkqubo ze-AI zifuna idatha ebanzi yembali kunye nexesha langempela lokuqeqesha iimodeli, ukuqinisekisa izicwangciso, kunye nokwenza izigqibo ezinolwazi. Iingqwalasela eziphambili ziquka:

  1. Imithombo Yedata: Ukusebenzisa imithombo yedatha emininzi kuphucula ukuchaneka kwemodeli kunye nokomelela ngokubonelela ngeembono ezahlukeneyo kwiimeko zemarike.
  2. Umgangatho weDatha: Ukuqinisekisa ukuba idatha ichanekile, ithembekile, kwaye isexesheni kubalulekile kurhwebo olusebenzayo lwe-AI.
  3. Umthamo wedatha: Iiseti zedatha ezinkulu zenza imifuziselo ye-AI ichonge iipateni ezifihlakeleyo kunye nolungelelwaniso olunokuthi luphoswe kwiiseti zedatha ezincinci.

Ukuqonda ukuRhweba nge-AI

Isihloko Amaphuzu aphambili
Isebenza njani i-AI kwiRhwebo I-AI iphumeza trades, uhlalutya iimeko zemarike, kwaye ulungiselela izicwangciso usebenzisa i-algorithms kunye nedatha.
Iindidi ze-AI Algorithms Kubandakanya uthungelwano lwe-neural, imithi yesigqibo, ii-SVM, kunye ne-NLP kwimisebenzi eyahlukeneyo yokurhweba.
Indima yokuFunda koomatshini Ubuchule be-ML obufana nokufunda, ukungajongwa, kunye nokufunda okomeleza kuyaphucula imifuziselo yorhwebo ekuhambeni kwexesha.
Ukubaluleka kweDatha Idatha esemgangathweni, eyahlukileyo, kunye nevolumu enkulu ibalulekile kuqeqesho kunye nokuqinisekisa iimodeli ze-AI.

3. Iinzuzo ze-AI kuRhwebo

I-Artificial Intelligence (AI) izise iinguqu eziguqukileyo kwishishini lokurhweba, ibonelela ngeenzuzo ezininzi ezonyusa impumelelo yorhwebo, ukuchaneka, kunye nenzuzo. Nazi ezinye iintengiso ezingundoqovantageI-AI kurhwebo:

3.1. Ukonyuka kokuSebenza kunye nesantya kuHlalutyo lweeNkcukacha

Iinkqubo ze-AI zinokuhlalutya iiseti zedatha ezininzi ngesantya esimangalisayo, zibonelela traders kunye nokuqonda kwexesha lokwenyani kunye nokubavumela ukuba benze izigqibo ezinolwazi ngokukhawuleza. Esi santya sibaluleke kakhulu kwiindawo zokurhweba ezikwi-high-frequency apho ii-milliseconds zingenza umahluko omkhulu. I-algorithms enikwe amandla e-AI inokuphumeza trades nge-latency encinci, ukuthatha amathuba njengoko evela kwaye ngaloo ndlela ukwandisa ukusebenza kakuhle.

3.2. Ukuchaneka okuPhuculweyo kwiiNtengiso zeMarike

Ubunakho bokuxela kwangaphambili be-AI yenye yezona mpahla zayo zixabisekileyo. Ngokusebenzisa idatha yemarike yembali kunye neendlela zokufunda koomatshini, iimodeli ze-AI zinokuqikelela iintsingiselo zemarike zexesha elizayo kunye neentshukumo zamaxabiso ngokuchaneka okuphezulu kuneendlela zemveli. Ezi modeli zixela kwangaphambili ziyanceda traders ukuhlala phambi kwemarike, ukwenza izigqibo ngexesha kunye nolwazi olunokukhokelela kwinzuzo ephezulu.

3.3. Ukomelezwa kweZakhono zoLawulo loMngcipheko

Izixhobo ze-AI zigqwesa kuvavanyo lomngcipheko kunye nolawulo. Bahlala bebeka iliso kwiimeko zemarike kwaye bavavanya imingcipheko enokubakho ngexesha langempela, elivumela tradebalungelelanise izicwangciso zabo zokukhusela iipotfoliyo zabo. Ngokuzenzekelayo iinkqubo zokulawula umngcipheko, i-AI inceda ekugcineni iindlela zokurhweba ezingaguquguqukiyo nezinengqiqo, ngaphandle kokuthambekela ngokweemvakalelo.

3.4. Ukuchongwa kweePatheni zoRhwebo kunye namaThuba

Iinkqubo ze-AI zinokuchonga iipateni ezintsonkothileyo kunye nolungelelwaniso kwidatha yentengiso enokuthi ingabonakali ebantwini traders. Esi sikhundla sivumela i-AI ukuba iveze amathuba okurhweba anokuthi aphoswe ziindlela zokuhlalutya zemveli. Iitekhnoloji ezinjengohlalutyo lweemvakalelo zikwaphucula ngakumbi oku ngokuhlalutya amanqaku eendaba, izithuba zemidiya yoluntu, kunye neengxelo zemali ukulinganisa uvakalelo lwentengiso kunye nokuqikelela iintshukumo zentengiso.

3.5. Ukubanakho ukuBuyisa okuPhezulu kunye nokuNcitshiswa kwelahleko

Ngokusebenzisa i-AI yokwenza izigqibo eziqhutywa yidatha kunye nohlalutyo lwexesha langempela, traders inokubanakho ukufumana imbuyekezo ephezulu kwaye inciphise ilahleko. Ikhono le-AI lokucwangcisa kunye nokuhlalutya umthamo omkhulu wedatha ngokukhawuleza ivumela izicwangciso ezichanekileyo zokurhweba ezinokuziqhelanisa nokutshintsha kweemeko zemarike. Oku kuziqhelanisa kuqinisekisa ukuba iinkqubo zokurhweba ze-AI zinokuqhubeka zifunde kwaye ziphucule ngokuhamba kwexesha, ziphucula ukusebenza kwazo.

Inzuzo inkcazelo
Ukonyuka kokuSebenza kunye nesantya I-AI ihlalutya idatha ngokukhawuleza, inika ukuqonda kwexesha langempela kunye nokusebenza trades nge-latency encinci.
Ukuchaneka okuphuculweyo Iimodeli ze-AI ezixela kwangaphambili iintsingiselo zemarike kunye neentshukumo zamaxabiso ngokuchaneka okuphezulu.
Ulawulo loMngcipheko olongezelelweyo Izixhobo ze-AI zivavanya imingcipheko ngexesha langempela, ukuvumela uhlengahlengiso olukhawulezileyo lweqhinga kunye norhwebo olungaguqukiyo.
Ukuchongwa kweepateni I-AI ichonga iipateni zokurhweba ezintsonkothileyo kunye namathuba kusetyenziswa iindlela zokuhlalutya eziphambili.
Imbuyekezo ephezulu kunye nelahleko eNcitshisiweyo Izicwangciso ze-AI eziqhutywa yidatha zinokukhokelela kwinzuzo ephezulu kunye nokunciphisa ilahleko ngokuphucula.

4. Ukuqala njani ukusebenzisa i-AI kwiRhwebo

4.1. Misela iinjongo zakho zokuRhweba kunye noNyamezelo loMngcipheko

Ngaphambi kokuba ungene kurhwebo lwe-AI, kubalulekile ukuchaza ngokucacileyo iinjongo zakho zorhwebo kunye nokunyamezela umngcipheko. Ukuqonda iinjongo zakho-nokuba ngaba ukuzuza kwexesha elifutshane, utyalo-mali lwexesha elide, okanye ukunciphisa umngcipheko-kuya kunceda ukulungelelanisa izixhobo ze-AI kunye nezicwangciso zokuhambelana neemfuno zakho ezithile.

4.2. Khetha iQonga lokuRhweba le-AI okanye iSoftware

Ukukhetha iqonga lokurhweba le-AI elithembekileyo kubalulekile. Jonga amaqonga abonelela ngojongano olusebenziseka lula, amanyathelo okhuseleko awomeleleyo, uhlalutyo lwexesha lokwenyani, kunye neempawu ezibanzi njengezixhobo zokutshati kunye ubuyela umva izakhono. Amaqonga afana nemibono yoRhwebo, I-TrendSpider, kunye ne-SignalStack zikhetho ezidumileyo kwizakhono zabo eziphambili kunye noyilo olusebenziseka lula.

4.3. Qokelela kwaye ulungiselele iDatha efanelekileyo yoHlahlelo lwe-AI

Idatha ngumqolo wokurhweba kwe-AI. Qinisekisa ukuba unofikelelo kulwazi olukumgangatho ophezulu, oluchanekileyo, kunye nolwexesha. Le datha kufuneka ibandakanye ukuhamba kwexabiso lembali, iintsingiselo zemarike, iingxelo zemali, kunye nolunye ulwazi olufanelekileyo. Ukusebenzisa imithombo yedatha emininzi kunokuphucula ukuchaneka kweemodeli zakho ze-AI kunye nokunciphisa umngcipheko wokugqithisa.

4.4. Qeqesha iModeli yakho ye-AI usebenzisa iDatha yeMbali

Ukuqeqesha imodeli yakho ye-AI kubandakanya ukuyondla idatha yembali ukuze ifunde iipatheni kunye nokwenza uqikelelo. Le nkqubo inceda inkqubo ye-AI ukuqonda ukuziphatha kweemarike kunye nokuphucula ukuchaneka kwayo ngexesha. Iindlela zobuchule ezinjengokufunda okugadwayo, ukufunda okungajongwanga, kunye nokufunda ukomeleza zinokusetyenziswa ngokuxhomekeke kubunzima kunye neenjongo zenkqubo yakho. cwangciso lo shishino.

4.5. Ukubuyisela umva kunye nokuPhuculwa kweziCwangciso zokuRhweba

Ukubuyisela umva kubandakanya ukuvavanya isicwangciso sakho sokurhweba ngokuchasene nedatha yembali ukuvavanya ukusebenza kwayo. Eli nyathelo libalulekile ukuqinisekisa ukuba uqikelelo lwemodeli yakho ye-AI luthembekile ngaphambi kokuba ulusebenzise kwihlabathi lokwenyani trades. Ukuphucula kunceda ukucokisa isicwangciso, ukwenza uhlengahlengiso oluyimfuneko ukuphucula ukusebenza.

4.6. Ukubeka iliso kunye nokuvavanya ukusebenza kwe-AI

Nje ukuba imodeli yakho ye-AI isetyenziswe, ukubekwa esweni okuqhubekayo kunye novavanyo kubalulekile. Vavanya rhoqo ukusebenza kwemodeli, wenze uhlengahlengiso njengoko kufuneka, kwaye uqinisekise ukuba ihambelana nokutshintsha kweemeko zentengiso. Olu vavanyo luqhubekayo lunceda ukugcina ukuchaneka kwemodeli kunye nokusebenza kakuhle.

inyathelo inkcazelo
Misela iiNjongo zokuRhweba kunye nokuNyamezelwa koMngcipheko Chaza iinjongo kunye nokunyamezela umngcipheko ukulungisa izixhobo kunye nezicwangciso ze-AI.
Khetha iQonga lokuRhweba le-AI eliLungileyo Khetha iqonga elinonxibelelwano olusebenziseka lula, ukhuseleko olomeleleyo, kunye neempawu ezibanzi.
Qokelela kwaye ulungiselele iDatha efanelekileyo Qinisekisa ukufikelela kwidatha ekumgangatho ophezulu, echanekileyo, kunye nehlaziyiweyo evela kwimithombo emininzi.
Qeqesha iModeli yakho ye-AI Sebenzisa idatha yembali ukuqeqesha imodeli ye-AI, usebenzisa iindlela ezahlukeneyo zokufunda njengoko kufuneka.
Ukubuyisela umva kunye nokuPhuculwa Vavanya kwaye usulungekise izicwangciso zokurhweba ngokuchasene nedatha yembali ukuqinisekisa ukuthembeka kunye nokusebenza.
Ukubeka iliso kunye nokuvavanya ukusebenza kwe-AI Qhubeka ubeke iliso kwaye ulungelelanise imodeli ye-AI ukuze ugcine ukuchaneka kunye nokulungelelanisa utshintsho lweemarike.

5. Izicwangciso zoRhwebo lwe-AI

I-Artificial Intelligence (AI) iye yaluguqula urhwebo ngokunika amacebo antsonkothileyo anokonyusa ukwenziwa kwezigqibo, ukunciphisa umkhethe ngokweemvakalelo, kunye nokwandisa iziphumo zorhwebo. Nazi ezinye iindlela eziphambili zokurhweba nge-AI:

5.1. I-Algorithmic Trading

Urhwebo lwe-algorithmic lubandakanya ukusebenzisa i-AI ukwenza trades isekelwe kwimithetho echazwe kwangaphambili ngokuzenzekelayo. Ezi zi-algorithms zinokuhlalutya iiseti zedatha ezinkulu ukuchonga iipatheni kunye nokwenza izigqibo zokurhweba ngaphandle kokungenelela kwabantu. Le ndlela iyaziwa ngesantya kunye nokusebenza kakuhle, ukwenza trades kufuneka zenziwe ngamaxesha afanelekileyo ukwandisa inzuzo kunye nokunciphisa ingozi.

5.2. URhwebo oluPhakamileyo (HFT)

Urhwebo olukwizinga eliphezulu luyi-subset yorhwebo lwe-algorithmic egxile ekwenzeni inani elikhulu lee-odolo ngesantya esiphezulu kakhulu. I-algorithms ye-AI kwi-HFT iphakamisa ukungafani kwamaxabiso amancinci kwaye yenza ngokukhawuleza trades, rhoqo kwi-milliseconds. Esi sicwangciso sidinga amandla amakhulu okubala kunye ne-algorithms eyinkimbinkimbi yokugcina inzuzo.

5.3. Uhlalutyo lweemvakalelo

Uhlalutyo lweemvakalelo olunikwe amandla e-AI lubandakanya ukusetyenziswa kolwimi lwendalo (NLP) ukuhlalutya amanqaku eendaba, izithuba zeendaba zoluntu, kunye nezinye iinkcukacha ezibhaliweyo ukulinganisa imvakalelo yemarike. Ngokuqonda imo yemarike ngokubanzi, iinkqubo ze-AI zinokwenza izigqibo zokurhweba ezinolwazi ngokusekelwe kuluvo loluntu kunye neendlela zeendaba. Esi sicwangciso siyanceda trader balindele iintshukumo zemarike kwaye balungelelanise zabo trades ngeemvakalelo ezikhoyo.

5.4. UkuNakana ipateni

I-algorithms ye-AI inokuchonga kwaye isebenzise iipateni zexabiso zembali ezibonisa amathuba aphezulu okurhweba. Ezi patheni zisetyenziselwa ukuqikelela ukuhamba kwexabiso elizayo kunye nokwenza trades ngokuzenzekelayo. Urhwebo lokuqatshelwa kwepateni luxhomekeke kwidatha yembali ebanzi kunye neendlela zobalo oluphambili ukuvelisa imiqondiso yorhwebo eyomeleleyo.

5.5. Kuthetha ukuguqulwa

Isicwangciso esilungileyo sokubuyisela sisekelwe kwingcamango yokuba amaxabiso e-asethi aya kubuyela kwi-avareji yembali ngokuhamba kwexesha. Ii-algorithms ze-AI zichonga xa amaxabiso etenxa kakhulu kwintsingiselo yawo kwaye aphumeze trades ezilindele ukubuyela kumndilili. Esi sicwangciso sinokusebenza kwi kwiimarike ebonisa ukuhla kwexabiso eliqhelekileyo malunga nexabiso eliphakathi.

5.6. I-Arbitrage yoBalo

Isatisti arbitrage ibandakanya ukusebenzisa i-AI ukusebenzisa ukungafani kwamaxabiso phakathi kwezixhobo zemali ezinxulumeneyo. Ngokubeka iliso kubudlelwane bamaxabiso kunye nokwenza trades xa kuvela ukungafani, i-algorithms ye-AI inokuthi isebenzise ukungasebenzi kwexesha elifutshane kwiimarike. Esi sicwangciso sihlala sibandakanya ukurhweba okuhamba rhoqo kwaye kufuna ukuphunyezwa okuchanekileyo ukuze kusebenze.

Strategy inkcazelo
Ukurhweba kwe-Algorithmic Ukubulawa trades isekelwe kwimithetho echazwe kwangaphambili ngokuzenzekelayo, ukwandisa isantya kunye nokusebenza kakuhle.
URhwebo oluPhezulu-Frequency Yenza inani elikhulu le trades ngesantya esiphezulu kakhulu, sisebenzisa iiyantlukwano ezincinci zamaxabiso.
Uhlalutyo lwesivakalisi Isebenzisa i-NLP ukulinganisa imvakalelo yentengiso evela kwiindaba kunye nemidiya yoluntu, ukwazisa izigqibo zorhwebo.
Ukuqwalaselwa kwePatheni Ichonga iipateni zembali zexabiso ukuqikelela iintshukumo zexesha elizayo kunye nokwenza tradengokuzenzekelayo.
Kuthetha ukubuyela umva Urhwebo olusekwe kwingcamango yokuba amaxabiso aya kubuyela kwiavareji yawo yembali ngokuhamba kwexesha.
I-Arbitrage yoBalo Isebenzisa ukungafani kwexabiso phakathi kwezixhobo ezinxulumeneyo zisebenzisa urhwebo oluqhelekileyo.

6. Imingeni kunye neNgqwalasela

Ngelixa i-AI ekurhwebeni ibonelela ngeenzuzo ezininzi, ikwabonelela ngemiceli mngeni emininzi kunye neengqwalasela tradeIifemu kunye neefemu kufuneka ziqhubele phambili ukuqinisekisa ukuphunyezwa okusebenzayo kunye nokuziphatha okusesikweni.

6.1. Umgangatho weDatha kunye nokuthembeka

Ukusebenza kwe-AI yokuthengisa kakhulu kuxhomekeke kumgangatho kunye nokuthembeka kwedatha esetyenzisiweyo. Idatha engachanekanga okanye engaphelelanga ingakhokelela kuhlalutyo oluphosakeleyo kunye nezigqibo zokurhweba eziphantsi. Ukuqinisekisa ukuthembeka kwedatha kunye nokuqinisekisa imithombo yedatha kubalulekile kwimpumelelo yezicwangciso eziqhutywa yi-AI. Abarhwebi kufuneka baqhubeke bebeka iliso kwaye bahlaziye idatha yabo ukuze bagcine ukuchaneka kunye nokufaneleka.

6.2. I-Overfitting kunye neModeli yeBias

Ukugqithisa kakhulu kwenzeka xa imodeli ye-AI isebenza ngokugqwesileyo kwidatha yembali kodwa iyasilela ukwenza ngokubanzi idatha entsha, engabonakaliyo, ekhokelela kuqikelelo olungachanekanga kunye nelahleko yemali. Imodeli yecala, enokuthi ibangele idatha yoqeqesho olucalucalulo, inokukhokelela kwizigqibo zokurhweba ezingalunganga okanye ezicalulayo. Ukunciphisa le miba, traders kufuneka basebenzise ubuchule obufana nobunjineli beempawu kunye nenkqubo yokuqinisekisa imodeli eyomeleleyo.

6.3. Ukuthotyelwa koMgaqo

Ukurhweba nge-AI kuphakamisa inkxalabo ebalulekileyo yolawulo. Abalawuli baya begxila ngakumbi ekuqinisekiseni ukuba izinto ziselubala, zinobulungisa, kunye nothintelo lokuphathwa kakubi kweemarike. Iifemu kufuneka zihlale zinolwazi malunga notshintsho lolawulo kwaye ziqinisekise ukuba iinkqubo zabo ze-AI zihambelana nemigangatho yomthetho kunye nemigaqo. Oku kuquka ukuphumeza imilinganiselo yokungafihli kunye nokuphendula kwiinkqubo zokuthatha izigqibo ze-AI.

6.4. Iingcinga zokuziphatha ezifanelekileyo

Ukusetyenziswa kwe-AI ekurhwebeni kwazisa iingxaki ezahlukeneyo zokuziphatha, kubandakanywa nokufuduswa okunokwenzeka kwemisebenzi, ukwanda okungazinzi kweemalike, kunye nokuqhubela phambili kokungakhethi kwii-algorithms zokurhweba. Ukuqinisekisa ukuba iinkqubo ze-AI zenza izigqibo ezinobulungisa nezingakhethi cala kubalulekile. Oku kufuna iinzame eziqhubekayo zokuphuhlisa iimodeli ze-AI ezicacileyo nezicacileyo, kunye nokuzibandakanya okusebenzayo kwiingxoxo zokuziphatha kunye nokusekwa kwezikhokelo ezicacileyo.

6.5. Ukungafihli kunye nokutolika

Njengoko iimodeli ze-AI ziba nzima ngakumbi, kukho inkxalabo ekhulayo malunga nokutolika kunye nokungafihli. Iimodeli zebhokisi ezimnyama, apho inkqubo yokwenza izigqibo ayiqondwa lula, inokubeka imingeni malunga nokuphendula kunye themba. Iinzame zokuphuhlisa iimodeli ze-AI ezinokutolika ngakumbi ezinikezela iinkcazo ezicacileyo ngezigqibo zabo zibalulekile ukwakha ukuthembana kunye nokuqinisekisa ukusetyenziswa okusesikweni.

Mngeni inkcazelo
Umgangatho weDatha kunye nokuthembeka Ukuqinisekisa ukuchaneka kunye nokufaneleka kwedatha ukugcina ukusebenza kwezicwangciso ze-AI zokurhweba.
I-Overfitting kunye neModeli yeBias Ukunqanda ukugqithiswa kunye nokujongana nokuthambekela kwiimodeli ze-AI ukuqinisekisa ukuqikelelwa okuchanekileyo kunye nokulunga.
Ukuthotyelwa koMthetho Ukuthobela imigangatho yolawulo ukuqinisekisa ukungafihli kunye nokuthintela ukulawulwa kweemarike.
Imilinganiselo yokuziphatha Ukujongana neengxaki zokuziphatha ezifana nokufuduswa kwemisebenzi kunye ne-algorithmic biases kurhwebo lwe-AI.
Ukungafihli kunye nokutolika Ukuphuhlisa iimodeli ze-AI ezicacileyo nezitolikayo ukuze kuqinisekiswe uxanduva lokuphendula kunye nokuthenjwa.

7. Ikamva le-AI kuRhwebo

Ikamva le-AI kurhwebo linesithembiso esibalulekileyo, kunye nenkqubela phambili elungele ukuguqula ishishini lezemali ngeendlela ezahlukeneyo. Nazi ezinye iintsingiselo eziphambili kunye nophuhliso olunokwenzeka:

7.1. Ukurhweba kunye noTyalo-mali oluzenzekelayo

I-algorithms ye-AI isetelwe ukuba ibe yinkimbinkimbi ngakumbi, ibenza bakwazi ukuhlalutya ubuninzi bedatha ngokukhawuleza nangokufanelekileyo. Oku kuya kukhokelela ekuphuculweni kweenkqubo zokurhweba ezizenzekelayo ezinokuvelisa imbuyekezo ephezulu ngokuchonga iipateni kunye nokwenza uqikelelo ngokukhawuleza kunabantu. IHedge Iimali kunye neefemu zotyalo-mali sele zisebenzisa i-AI yokuthengisa isitokhwe esizenzekelayo, kwaye le ndlela kulindeleke ukuba ikhule njengoko iteknoloji ye-AI ihambela phambili.

7.2. Ukufunyaniswa kobuqhophololo kunye noLawulo loMngcipheko

Ukukwazi kwe-AI ukubona izinto ezingaqhelekanga kunye nokuvavanya imingcipheko ngexesha lokwenyani yenye indawo apho iya kuqhubeka ithatha amanyathelo abalulekileyo. Amaziko emali angasebenzisa i-AI ukuhlalutya idatha yabathengi, ukuthengiselana, kunye neendlela zokuziphatha ukuchonga imisebenzi yobuqhetseba kunye nokulawula umngcipheko ngokufanelekileyo. Esi sikhundla sinokunceda ukukhusela ilahleko kunye nokuqinisekisa iindawo zokurhweba ezikhuselekileyo.

7.3. Iinkonzo zezeMali ezenzelwe wena

Kwixesha elizayo, i-AI inokubonelela ngeenkonzo zebhanki kunye nezocwangciso lwezemali. Ngokuhlalutya umntu ngamnye iinjongo zemali, ukunyamezela umngcipheko, kunye neemeko zezimali zangoku, iinkqubo ze-AI zinokucebisa ukugcinwa, ukuchitha imali kunye nezicwangciso zotyalo-mali. Ezi nkqubo zinokuhlengahlengisa izindululo zazo njengoko iimfuno zomntu kunye neemeko zemarike zitshintsha, zibonelela ngendlela eyenzelwe wena ngakumbi kulawulo lwemali.

7.4. Ukudityaniswa neQuantum Computing

I-Quantum computing kulindeleke ukuba iguqule i-AI ekurhwebeni ngokuphatha iiseti zedatha ezinkulu kunye nokwenza imisebenzi yemodeli entsonkothileyo ngesantya esingazange sabonwa ngaphambili. Ubuchwephesha bunokwenza imodeli ephucukileyo kunye nemisebenzi yokuphucula, ukuphucula amandla eenkqubo zokurhweba ze-AI kunye nokuvula amathuba amatsha okurhweba okuhamba rhoqo kunye nezinye izicwangciso eziphambili.

7.5. IiNgqwalaselo zoBulungisa noLawulo

Njengoko i-AI iqhubela phambili, imiceli mngeni yeenqobo ezisesikweni kunye nolawulo nayo iya kuvela. Ukuqinisekisa ukungafihli, ukuphendula, kunye nobulungisa kwiinkqubo zorhwebo ze-AI kubalulekile. Abalawuli kuya kufuneka baphuhlise izikhokelo ezilungelelanisa ukutsha kunye nokuthembeka kweemarike kunye nokujongana nemiba efana nobumfihlo bedatha, i-algorithmic bias, kunye ne-cybersecurity. Intsebenziswano phakathi kwabalawuli, abathathi-nxaxheba bezentengiso, kunye nabaphuhlisi betekhnoloji iya kubaluleka ukujonga le mingeni ngenkathalo.

umba Imizila yekamva kunye noPhuhliso
Ukurhweba kunye noTyalo-mali oluzenzekelayo I-algorithms ye-AI enobunkunkqele bokurhweba ngokukhawuleza, ukubuya okuphezulu okuzenzekelayo kunye nolawulo lotyalo-mali.
Ukufunyanwa kobuqhophololo kunye noLawulo loMngcipheko Izakhono eziphuculweyo zokubona ubuqhetseba kunye nokulawula imingcipheko ngexesha langempela, ukuphucula ukhuseleko kunye nokunciphisa ilahleko.
Iinkonzo zezeMali ezenzelwe wena Ucwangciso lwezemali oluqhutywa ngumntu ngamnye oluqhutywa yi-AI kunye nezicwangciso zotyalo-mali ezilungelelanisa iimfuno zomntu ngamnye kunye notshintsho lwemarike.
Ukudityaniswa neQuantum Computing Ukubakho kokuphatha iiseti zedatha enkulu kunye nemisebenzi enzima yokulinganisa, eyenza izicwangciso zokurhweba eziphucukileyo.
IiNgqwalaselo zoBulungisa noLawulo Ukuphuhliswa kwezikhokelo zokuqinisekisa ukungafihli, ukuphendula, kunye nobulungisa kwiinkqubo zokurhweba ze-AI.

isiphelo

I-Artificial Intelligence (AI) iguqule imbonakalo yorhwebo, inikezela ngeentengiso ezininzivantages. Yandisa ukusebenza kakuhle kunye nesantya ekuhlalutyweni kwedatha, iphucula ukuchaneka kokuqikelelwa kweemarike, iphakamisa amandla okulawula umngcipheko, ichonge iipatheni zokurhweba kunye namathuba, kwaye inamandla okubuyisela okuphezulu kunye nokunciphisa ilahleko. Iinkqubo eziqhutywa yi-AI zinokuqhuba izixa ezikhulu zedatha ngexesha lokwenyani, zinike ulwazi olungenakuqondwa lula ngabantu. traders, kunye neenkqubo zokuthatha izigqibo ezintsonkothileyo, ngaloo ndlela kunyuswa izicwangciso-qhinga kunye neziphumo zokurhweba.

Iimarike zezimali ziyaguquguquka kwaye zihlala zivela. Ukuze uhlale ukhuphisana, trader kunye namaziko emali kufuneka ngokuqhubekayo afunde kwaye aziqhelanise. Oku kubandakanya ukuhlala uhlaziywa ngenkqubela phambili yamva nje kwitekhnoloji ye-AI, ukucokisa amaqhinga okurhweba ngokusekwe kulwazi olutsha, kunye nokuqinisekisa ukuba iinkqubo ze-AI zivavanywa rhoqo kwaye ziqinisekisiwe. Ukufunda ngokuqhubekayo kunye nokuziqhelanisa kubalulekile ekuphakamiseni amandla apheleleyo e-AI kunye nokugcina umda wokukhuphisana kwimarike.

I-AI ibonelela ngendlela yokuguqula urhwebo, kwaye ukwamkelwa kwayo kulindeleke ukuba kukhule. Abarhwebi, nokuba ngaba umntu okanye iziko, kufuneka baphonononge amathuba abonelelwa yi-AI. Ukusuka kwi-automating trades ekwandiseni ulawulo lomngcipheko kunye neendlela zokwenza imali, i-AI inokuphucula kakhulu iziphumo zorhwebo. Ukwamkela itekhnoloji ye-AI ngokucingisisayo nangobuchule kunokukhokelela kwizigqibo ezingcono zotyalo-mali kunye nokusebenza kakuhle korhwebo68†umthombo.

Ikamva lokurhweba lilele ekudityanisweni kwe-AI kunye nobuchule bomntu. Ngokuqala uhambo lwakho lokurhweba lwe-AI namhlanje, unokuzibeka phambili kolu tshintsho lwetekhnoloji. Nokuba unamava trader ujonge ukuphucula izicwangciso zakho okanye umntu omtsha onomdla wokuphonononga izinto ezintsha ezinokwenzeka, i-AI ibonelela ngezixhobo kunye nokuqonda okunokuguqula amava akho orhwebo. Qala ngokufunda malunga namaqonga okurhweba e-AI, ukuqonda iingqwalaselo zeenqobo ezisesikweni kunye nolawulo, kwaye ngokuqhubekayo uphucula indlela yakho yokusebenzisa amandla apheleleyo e-AI kurhwebo.

📚 Izincedisi ezingakumbi

Nceda qaphela: Izibonelelo ezibonelelweyo zisenokungalungiselelwa abaqalayo kwaye zisenokungafaneleki traders ngaphandle kwamava yobungcali.

Ukuze ufunde ngakumbi malunga neArtificial Intelligence kurhwebo, nceda undwendwele Forbes kwaye Investopedia.

❔ Imibuzo edla ngokubuzwa

unxantathu sm ekunene
Yintoni i-AI ekurhwebeni?

I-AI kurhwebo ibandakanya ukusebenzisa itekhnoloji yobukrelekrele bokwenziwa njengokufunda koomatshini kunye nokusetyenzwa kolwimi lwendalo ukuhlalutya idatha, ukuqikelela iintsingiselo zemarike, kunye nokwenza izigqibo zokurhweba ngokuzenzekelayo.

unxantathu sm ekunene
I-AI yomeleza njani ukusebenza kakuhle kwezorhwebo? 

I-AI yonyusa ukusebenza kakuhle kokurhweba ngokucubungula izixa ezikhulu zedatha ngexesha lokwenyani, ivumela ukukhawuleza trade ukwenziwa kunye nokubonelela ngezimvo ngexesha elifanelekileyo eziphucula ukwenziwa kwezigqibo.

unxantathu sm ekunene
Yeyiphi imingeni ephambili ye-AI ekurhwebeni?

Imingeni ephambili ibandakanya ukuqinisekiswa komgangatho wedatha, ukuphepha i-algorithmic bias, ukuthobela imimiselo, kunye nokujongana neenkxalabo zokuziphatha ezinxulumene nokungafihli kunye nobulungisa.

unxantathu sm ekunene
Ngaba i-AI ingathatha indawo yomntu traders ngokupheleleyo?

Ngelixa i-AI inokwenza ngokuzenzekelayo imisebenzi emininzi yokurhweba, ukongamela komntu kuhlala kubalulekile ekwenzeni izigqibo ezicwangcisiweyo, uqwalaselo lweenqobo ezisesikweni, kunye nokuziqhelanisa nokutshintsha kwemarike.

unxantathu sm ekunene
Lithini ikamva le-AI ekurhwebeni? 

Ikamva le-AI ekurhwebeni lijongeka lithembisa ngenkqubela phambili efana ne-quantum computing, enokuphucula ngakumbi amandla okusebenza kwedatha kunye nokwandisa izicwangciso zokurhweba.

Umbhali: UArsam Javed
UArsam, iNgcali yoRhwebo enamava angaphaya kweminyaka emine, waziwa ngohlaziyo lwakhe lwemalike yezemali. Udibanisa ubuchule bakhe bokurhweba kunye nezakhono zokucwangcisa ukuphuhlisa abacebisi bakhe beeNgcali, ukuzenzekelayo kunye nokuphucula izicwangciso zakhe.
Funda ngakumbi ngoArsam Javed
Arsam-Javed

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