Teburin Abubuwan Ciki
1 Gabatarwa
Kasuwannin Cryptocurrency sun fito a matsayin sabon nau'in kadari mai keɓantaccen siffofi ciki har da babban saurin canzawa, kyakkyawar alaƙar kadari, da haɗarin keɓantacce. Yanayin rarrabuwar kawuna na cryptocurrencies yana ba da damar samun dama ga tushen bayanai daban-daban bayan ma'aunin farashi da ƙara na al'ada, gami da hashrate, Google Trends, da ra'ayin kafofin sada zumunta. Wannan yalwar bayanan madadin yana ba da damammaki da ƙalubale ga dabarun ciniki na tsari.
$1.2T
Girman Kasuwar Cryptocurrency (2023)
Kowace Rana
Mita Sabunta Bayanan Madadin
Da yawa
Tushen Bayanan Da Aka Haɗa
2 Hanyar Aiki
2.1 Cibiyoyin Sadarwa na Multi-Factor Inception
MFIN ya faɗaɗa Cibiyoyin Sadarwa Mai Zurfi (DIN) don yin aiki a cikin mahallin abubuwa da yawa, yana koyon siffofi ta atomatik daga bayanan dawowa a cikin kadari da abubuwa da yawa. Tsarin yana sarrafa kowane abu a matsayin jerin lokaci daban, yana ba da damar samfurin gano rikitattun alamu ba tare da dogaro da siffofin hannu ba.
2.2 Ƙirar Tsarin Gina
Tsarin cibiyar sadarwa yana amfani da kayan aikin farawa tare da layukan haɗin gwiwa a layi daya na girman kernel daban-daban, yana ba da damar sarrafa ma'aunin lokaci da yawa lokaci guda. Wannan ƙira tana ɗaukar ƙananan motsin kasuwa da kuma dogon lokaci mai tsayi a cikin abubuwa daban-daban.
3 Aiwar Fasaha
3.1 Tsarin Lissafi
Ayyukan manufa yana haɓaka rabon Sharpe na fayil: $$\max_{\mathbf{w}} \frac{\mathbb{E}[R_p]}{\sigma_{R_p}}$$ inda $R_p = \sum_{i=1}^N w_i R_i$ yake wakiltar dawowar fayil, kuma $\mathbf{w}$ girman matsayi da tsarin MFIN ya ƙaddara.
3.2 Sarrafa Abubuwan Daidaituwa
Kowane abu $f$ yana haifar da jerin dawowa $r_{t}^{(f)} = \frac{p_t^{(f)} - p_{t-1}^{(f)}}{p_{t-1}^{(f)}}$ inda $p_t^{(f)}$ yake wakiltar ƙimar abu a lokacin $t$. Samfurin yana sarrafa waɗannan dawowar ta hanyar tubalan farawa a layi daya kafin sassan haɗuwa su haɗu bayanan tsaka-tsakin abu.
4 Sakamakon Gwaji
4.1 Ma'aunin Aiki
MFIN ya cimma ci gaba da dawowa mai kyau a lokacin 2022-2023, lokacin da dabarun ƙarfin gwiwa da mayar da hankali na al'ada suka ƙasa yin aiki da kyau. Dabarar ta nuna halin rashin daidaituwa tare da ƙididdiga masu alaƙa ƙasa da 0.3 a kan hanyoyin ma'auni.
4.2 Binciken Kwatancen
Idan aka kwatanta da dabarun tushen ƙa'ida, MFIN ya nuna mafi girman dawowar da aka daidaita haɗari tare da rabon Sharpe wanda ya wuce 1.5 bayan farashin ma'amala. Samfurin ya ci gaba da aiki yayin lokutan damuwa na kasuwa, yana nuna ƙarfi ga canje-canjen tsarin mulki.
Muhimman Fahimta
- MFIN yana koyon dabarun rashin daidaituwa waɗanda abubuwan al'ada ba su kama ba
- Koyon siffa ta atomatik yana rage dogaro ga alamomin hannu
- Haɗin abubuwa da yawa yana ba da fa'idar rarrabawa
- Ci gaba da aiki yayin faduwar kasuwa (2022-2023)
5 Tsarin Bincike
Hangen Nesa na Manazarcin: Cikakkiyar Fahimta
MFIN yana wakiltar sauyin tsari daga injiniyan siffa zuwa koyon siffa a cikin kuɗin ƙididdiga. Ikonsa na tsarin cire ma'anar alamu ta atomatik daga bayanan abubuwa da yawa masu danye yana ƙalubalantar hanyoyin al'ada waɗanda suka dogara da alamomin fasaha na hannu. Wannan ya yi daidai da yanayin hangen nesa na kwamfuta inda samfura kamar ResNet suka nuna mafi girman aiki ta hanyar cire siffa ta atomatik idan aka kwatanta da hanyoyin injiniyan siffa na hannu.
Kwararar Ma'ana
Tsarin ginin yana bin ci gaba mai ma'ana: sarrafa kowane abu → gano alamar ma'auni da yawa → haɗin tsaka-tsakin abu → inganta fayil. Wannan matakin matsayi yayi daidai da gine-ginen nasara a wasu fagage, kamar tsarin ginin U-Net a cikin hoton likita, inda cire siffa mai yawa ya kasance mahimmanci ga aiki.
Ƙarfi & Kurakurai
Ƙarfi: Dawowar samfurin maras daidaituwa yayin damuwa na kasuwa (2022-2023) yana nuna haifar da alpha na gaske. Koyon siffa ta atomatik yana rage son rai na ɗan adam kuma yana daidaita da canje-canjen tsarin kasuwa. Kurakurai: Ƙarancin fassarar siffofin da aka koya yana haifar da ƙalubale ga yarda da ƙa'ida da sarrafa haɗari. Aikin samfurin a cikin yanayi na kasuwa mai tsanani ya kasance ba a gwada shi ba.
Fahimta Mai Aiki
Masu saka hannun jari na cibiyoyi ya kamata su yi la'akari da MFIN a matsayin dabarar haɓakawa ga hanyoyin ƙididdiga na al'ada. Ikonsa na tsarin sarrafa tushen bayanan madadin kamar hashrate da kafofin sada zumunta yana ba da gwiwa a cikin kasuwannin cryptocurrency masu inganci. Koyaya, dole ne ingantattun tsare-tsaren sarrafa haɗari su rakiyar turawa saboda yanayin samfurin baƙar fata.
Nazarin Shari'a: Aiwar Tsarin
Yi la'akari da fayil na manyan cryptocurrencies 5 (Bitcoin, Ethereum, da sauransu) tare da abubuwa 4 kowanne (dawowar farashi, ƙara, hashrate, Google Trends). Tsarin MFIN yana sarrafa jerin lokaci 20 daban ta hanyar kayan aikin farawa a layi daya, yana gano alaƙar tsaka-tsakin kadari da tsaka-tsakin abu ba tare da ƙayyadaddun alamomin fasaha ba.
6 Aikace-aikacen Gaba
Tsarin MFIN yana nuna alƙawari don faɗaɗawa zuwa nau'ikan kadari na al'ada gami da daidaito da kayayyaki. Haɗin kai tare da koyon ƙarfafawa zai iya ba da damar girman matsayi mai ƙarfi dangane da yanayin kasuwa. Daidaitawa na ainihin lokaci zuwa sababbin tushen bayanai, kamar ma'aunin kuɗi na rarrabuwar kawuna (DeFi), yana wakiltar wata hanya mai ban sha'awa.
7 Nassoshi
- Liu, T., & Zohren, S. (2023). Cibiyoyin Sadarwa na Multi-Factor Inception don Cinikin Cryptocurrency
- He, K., et al. (2016). Koyon Ragewa Mai Zurfi don Gane Hotuna. CVPR
- Ronneberger, O., et al. (2015). U-Net: Cibiyoyin Sadarwa na Haɗin gwiwa don Rarraba Hotunan Likitanci
- Lim, B., et al. (2019). Masu Canza Haɗin Lokaci don Hangen Tsinkaya na Jerin Lokaci Masu Yawa
- Fama, E. F., & French, K. R. (1993). Abubuwan haɗari gama gari a cikin dawowar hannayen jari da lamuni