Isikhombi Sokwehla Komugqa – Incazelo kanye Nesicelo

I-Linear Regression Indicator (LRI) – uyini umnyombo wenkomba, ukuhlaziywa kwethrendi. I-Linear Regression, ebizwa ngokuthi i-linear regression indicator, isibe ingxenye ebalulekile yokuhlaziywa kobuchwepheshe lapho uhweba ngezimpahla ezahlukene. Ngo-1991, yasungulwa nguGilbert Ruff, kusukela ngaleso sikhathi iye yasetshenziswa ngenkuthalo ezisekelweni ezihlukahlukene. Ngokungafani namanye ama-analogues, kulula ukuyisebenzisa, ikuvumela ukuthi uthole idatha yenhloso, ongenza ngayo izibikezelo ezinembile zamathrendi entengo.

Incazelo yenkomba yokuhlehla komugqa

Inkomba yokuhlehla komugqa inomusho oyisithombe. Ngokubukeka, ivezwa ngesimo sesiteshi esidalwe imigqa eqondile ehambisanayo. Ngaphakathi kwabo kunomunye umugqa oqondile, otholakala ebangeni elifanayo ukusuka emigqeni eyeqisayo, ubonisa ukunyakaza kwentengo emakethe. Ububanzi bomhubhe onjalo bubekwe umhwebi esebenzisa ifremu. Umugqa ongenhla ubonisa ukuchezuka okukhulu kwentengo kusuka kuthrendi evelayo, futhi umugqa ophansi ubonisa inani lawo eliphansi. Leli ithuluzi elisebenza emhlabeni wonke elingasetshenziswa lapho usebenza nanoma iyiphi impahla ethengiswa ekushintshanisweni. Usebenzisa imigqa edaliwe, unganquma ukunyakaza okuhlukile kwentengo yamanje, udale isiteshi senani eshadini, okubonisa ubuningi, ubuncane kanye maphakathi nokunyakaza kwentengo. Okokuqala, dwetshwa umugqa omaphakathi, obizwa ngokuthi “umugqa wethrendi wokuhlehla”, ngokusekelwe enanini lentengo yethrendi. Ukuthambekela kwayo kuncike ekutheni ukuthambekela kwemakethe kuhamba kuphi. Ngemva kwalokho, inkomba ingeza imigqa emibili elinganayo emele ukumelana nokusekelwa kokunyakaza kwentengo esikhathini esithile.
Imigqa Yesikhombi Sokwehla Komugqa:
Ukuze udale isiteshi sokuthengisa sangempela, udinga ukulungisa inkomba. Lokhu kungenziwa emaminithini ambalwa, njengoba inqubo ayinzima ngisho nakubaqalayo. Umhwebi kufanele asethe kahle ububanzi besiteshi. Ezinye izilungiselelo zisiza ukunikeza ishadi elidaliwe ukubukeka okugayekayo okuzoba lula ukulibona ngokulibona. Lokhu kwenziwa kusetshenziswa Amathuluzi Wombala Wokumisa kanye Nombala Womugqa Wethrendi. Ngosizo lwazo, izilungiselelo zokubuka ziyasethwa, imingcele yesiteshi namanani apendwe ngemibala ethile. Esigabeni se-LR WIDTH, ungasetha ubukhulu bemigqa emibili eyeqisayo ngokusetha izilungiselelo ozifunayo. Inkomba ibalwa kusetshenziswa amafomula alandelayo:


lapho u-x eyinkathi yesikhathi eshiwo futhi n iyinani eliphelele lezikhathi. Kusetshenziswa le fomula yesiteshi somugqa sokuhlehla, ishadi lakhiwa kusetshenziswa inkomba. Lapho wenza itulo, kufanele ulandele njalo ukuziphatha kwentengo yamanje.
Imvamisa, inkomba yomugqa wokwehla isetshenziswa abathengisi ukubala phezulu naphansi kokuguquguquka kwentengo yamanje emakethe ukuze kunqunywe ngokunembile isikhathi lapho kunenzuzo khona ukungena emakethe nokuthi ukuvala nini ukuthengiselana ngobuningi. inzuzo ngokwabo. Kulokhu, kusetshenziswe umugqa ophakathi wesiteshi esidaliwe, obonisa indawo emaphakathi yomkhuba wamanani. I-Linear Regression Curve – ukuhweba kancane nokuthi ungayithola kanjani i-Linear Regression Indicator: https://youtu.be/cYpN6Cj4D8Y

Ukusetha inkomba kutheminali yokuhweba

Kumenyu, khetha into
ethi “Faka” , bese isigaba
“Amashaneli”
. Bakhetha
u-“Linear Regression”. Ngezilungiselelo ezilandelayo, udinga ukukhetha indawo oyifunayo eshadini, lapho kuzokwakhiwa khona isiteshi sokuhlehla somugqa. Ikhesa ihanjiswa phezu kwayo, bese kucindezela inkinobho yesokunxele kugundane. Ngemuva kwalokho, ngaphandle kokukhulula ukhiye, udinga ukuwuhudulela kumaki oyifunayo kumugqa wesikhathi. Lesi yisigaba sokugcina sokwakhiwa kwesiteshi. Ngemva kwalokho, udinga kuphela ukusetha ububanzi oyifunayo, okuyinto ohlelweni MT4 itholakala esigabeni Fixed Date Time. Usuku lokusebenza kuphela olubekwe lapha, okuncike esikhathini sesikhathi esimisiwe. Umsebenzisi angasebenzisa idatha yosuku olulodwa njengezikhathi zesikhathi. Uhlelo luzobala izixhumanisi zomugqa wokuhlehla ngokususelwe kumanani entengo anikeziwe ngesikhathi esiphakathi kwamaphoyinti amabili ashiwo.

Ukuze uguqule isikhawu esishiwo, chofoza kabili emgqeni ophakathi bese uhudula owuthandayo emaphoyintini agqanyisiwe.

Ungafaka imenyu yezindawo zesiteshi esakhiwe ngokuchofoza kwesokudla noma yikuphi efasiteleni leshadi lentengo futhi kumenyu yokudonsela phansi ukhethe into ethi “Uhlu lwezinto”, lapho kukhethwa khona isigaba “sokubhaliswa kwesiteshi”, kuso ” Isigaba sezakhiwo sikhethiwe.

Isetshenziswa kanjani

Ithuluzi elinjalo lifakwe namuhla kumapulatifomu amaningi okuhweba. Ukuze uyengeze eshadini, udinga ukulikhetha kumenyu. Ukusebenzisa inkomba yokuhlehla komugqa kutheminali ye-MT4, kufanele uyithole phezulu efasiteleni. Ukuze ulande, udinga ukuchofoza izinkinobho ezilandelayo ngokulandelana, uhambise phezu kwazo:

• okokuqala “Faka”;
• bese ukhetha “Amashaneli”;
• bese uchofoza kusigaba esithi “Linear Regression”.

Ngemva kwalokho, uhlelo luzosebenza kukhompyutha. Ngemva kokwenza kusebenze, ingasetshenziswa umthengisi ekwakheni amashadi azosiza ukunquma inkambiso yentengo emakethe ngokubuka kwesikhathi esinikeziwe. Ukuze udwebe isiteshi, khetha isiqalo sethrendi bese uhudulela inkomba endaweni elandelayo ebalulekile yethrendi. Ngokuveza phezulu naphansi kwethrendi yamanani eshadini, ungenza isiteshi sizilawule ngokwaso. Kulokhu, umugqa ophakathi nendawo ngokuzenzakalelayo uthatha indawo yawo phakathi kwemigqa ehambisanayo ephezulu nephansi. Lapho unquma amaphoyinti okungena nokuphuma emakethe, kufanele ulandele ukusebenzisana kwentengo nemigqa engaphezulu nephansi. Ngokushesha uma lokhu kwenzeka, kusho ukuthi inani lentengo lamanje lizoshintsha maduzane. Uma isebenzisana nomugqa ophakathi, kusho ukuthi intengo yamanje yomfutho iqala ukwakha, okubonisa ukuqhubeka kwentengo yamanje. Lapho wenza ukuhlaziywa kokuhlehla, udinga ukuqapha ukuwohloka komhubhe owenziwe. Lapho intengo iphula ubuqotho bayo ekuqondeni okuphambene nomkhuba oyinhloko, kusho ukuthi kulesi simo isiqondiso samanani emakethe singashintsha esikhathini esizayo esiseduze. Ukuhlaziywa kusekelwe ekubhekeni ukuthi intengo isebenzisana kanjani nemigqa emithathu ehambisanayo eyakha iphaseji. Okwamanje lapho iqala ukusebenzisana nomngcele ophansi noma ongaphezulu wesiteshi, kufanele ulungele ukuthi esikhathini esizayo esiseduze inkambiso yamanani emakethe ingashintsha kakhulu. Umhwebi uzodinga nje ukubuka ukuthi intengo izosebenzisana kanjani nemigqa yezinkomba ezakhiwe. Ezikhathini zokusebenzelana phezulu noma phansi kwesiteshi, ukunyakaza kwentengo kuzoshintsha maduze nje. Lokhu kuzoba yinkomba yokuthi lapho intengo yehla, ungangena emakethe, futhi lapho kuncipha, ungaphuma. Isibonelo sephaseji ye-bullish lapho intengo ihlala iphansi:
Iphansi lomngcele ophansi wenkomba kufanele isetshenziselwe ukufaka uhwebo lwe-bullish. Kulesi simo, ungalandela inkambiso kuze kube yilapho intengo ifinyelela amanani aphezulu wokuhlehla.

Izinzuzo nezingozi zokusebenzisa

I-Linear Regression ibhekwa njengenye yezinkomba ezilula kakhulu nezithembisayo zomhwebi. Ngosizo lwayo, ungakwazi njalo ukuthola ngokuqondile izinguquko zezitayela emakethe, isiqondiso sazo namandla ukuze ube nesikhathi sokubika mayelana nezinguquko ezizayo. Ububi bethuluzi elinjalo ukuthi ngemuva kokuthi ibha ivaliwe, udinga ukuphinda udwebe amashadi futhi. Lapho utolika amasiginali ezinkomba atholiwe, kubalulekile ukucabangela amaphuzu amaningana:

• ukukhuphuka komugqa eshadini kusho ukuthambekela phezulu, futhi ukwehla kwawo kubonisa ukuthi ukwehla kwe-downtrend kuzoba khona maduzane;
• lapho inani liphindela emuva lisuka emingceleni ebekwe ngokuphambene nethrendi, umuntu kufanele alungiselele ukubuyisela emuva, esimweni esiphambene, umuntu kufanele alindele ukuthi amanani azosimama;
• ukuxoshwa kwezindleko ezivela emigqeni eseceleni kukuvumela ukuba uthembele eqinisweni lokuthi umkhuba osungulwe uzoqhubeka nokunyakaza kwawo.

Izici zokusebenzisa i-Linear Regression

Leli ithuluzi lomhlaba wonke elilungele ukusetshenziswa ezindaweni ezahlukahlukene zokuhweba:

• ku- scalping ;
• okwefulethi;
• ekuhwebeni phakathi nesikhathi;
• ukucacisa isiqondiso sokuthambekela.

Umgomo oyisisekelo wenkomba yomugqa ukuthi intengo izoshintsha ngaphakathi kwesiteshi sokuhlehla ngokwaso. Ithuluzi elinjalo likuvumela ukuthi uvale futhi uvule ukuhweba, ngenkathi ukhumbula ukuthi awukwazi ukuhweba ngokumelene nomkhuba wamanje. I-Linear Regression ihlanganiswe ngokuphelele namanye amathuluzi umthengisi awasebenzisayo, ngokusekelwe kumasu okuhweba asetshenzisiwe, uhlobo lokuhweba, izintandokazi zomuntu siqu: i-Stochastic, i-Bollinger namanye amathuluzi asetshenziswa umthengisi. Inhloso yenkomba yomugqa Ukuhlehla komugqa kuqinisekiswa iqiniso lokuthi isebenza ngesisekelo sefomu lezibalo elithile, ngakho indima yesici esizimele ekuhwebeni iyancipha. Ngesikhathi esifanayo, kufanele kuqondwe ukuthi ukuze uthole ulwazi olunembile olukuvumela ukuthi wenze isinqumo esingenaphutha, udinga ukusebenzisa amathuluzi engeziwe okuhlaziya ezobuchwepheshe kanye nenkomba. Ngosizo lwabo, kuzokwazi ukuqeda umsindo ongadingekile futhi unqume ngokunembile amaphuzu okungena nokuphuma. Ukusetha ithuluzi elinjalo nokulisebenzisa emsebenzini kulula uma ulandela imiyalelo echazwe ngenhla.