Saitunan Tashar Tasha Mai Layi Mai Kyau Da Dabaru

1. Menene Channel Regression Linear?

A Tashar Regression Linear ya ƙunshi layi na tsakiya wanda ke wakiltar layin layi na layi na bayanan, kewaye da manyan layi da ƙananan layi waɗanda suke daidai da layin layi na layi. Ana amfani da waɗannan tashoshi a ciki fasaha analysis don gano yuwuwar siye ko siyar da sigina, yana nuna yanayin da aka yi fiye da kima ko aka yi.

Layin tsakiya na tashar shine layin da ya fi dacewa da bayanan farashin tsaro a kan ƙayyadadden lokaci. Ana ƙididdige wannan layin ta hanyar amfani da mafi ƙanƙantar murabba'i, wanda ke rage jimlar murabba'in nisa tsakanin layin da daidaikun farashin farashin.

Tashoshi na sama da na ƙasa yawanci ana saita takamaiman adadin daidaitattun sabawa nesa da layin koma baya na tsakiya. Nisa yawanci yana dogara ne akan rashin daidaituwa na farashin tsaro, tare da ƙarin ƙayyadaddun ƙididdiga masu buƙatar tashoshi waɗanda ke da yawa don ƙaddamar da aikin farashin.

Traders yi amfani da wannan kayan aikin don tantance alkiblar yanayin da kuma gano abubuwan da za su iya juyawa. Lokacin da farashin ya taɓa layin tashoshi na sama, yana nuna cewa tsaro yana iya yin yawa kuma yana iya kasancewa saboda ja da baya. Sabanin haka, idan farashin ya taɓa ƙananan layin tashar, yana nuna cewa tsaro yana iya yin yawa kuma zai iya komawa.

Gidan Regression Linear yana da ƙarfi, yana daidaitawa tare da kowane sabon bayanan bayanai. Wannan ya sa ya zama kayan aiki mai mahimmanci don traders waɗanda ke neman yin amfani da abubuwan da ke faruwa yayin da suke haɓaka maimakon dogaro da bayanan tarihi kawai.

2. Yadda Ake Saita Tashar Regression Linear akan MT4 da TradingView?

Saita Tashoshin Juya Juyin Layi akan MT4

Don saita tashar Regression Linear a kunne MetaTrader 4 (MT4), bi wadannan matakai:

• Bude dandalin MT4 kuma zaɓi ginshiƙi inda kake son yin amfani da tashar Regression Linear.
• Danna kan menu na 'Saka', kewaya zuwa 'Tashoshi', sannan zaɓi 'Linear Regression'.
• Danna kuma ja linzamin kwamfuta daga wurin farawa zuwa ƙarshen lokacin da kake son yin nazari.
• Software ɗin za ta ƙirƙiri tashar Regression Linear ta atomatik.

Ana iya yin gyare-gyare ga tashar ta danna kan layi na tsakiya, wanda ke ba ka damar motsa tashar ko tsawaita tsawonsa. Don gyara kaddarorin tashar, danna-dama akan tashar kuma zaɓi 'Properties.' Anan, zaku iya canza adadin daidaitattun ƙetare na manyan layi da ƙananan layi, da launi da salon tashar.

Saita Tashoshin Juyin Juya Layi akan TradingView

On TradingView, tsarin yana kama da kai tsaye:

• Samun damar ginshiƙi na TradingView kuma tabbatar da cewa kuna kan ƙayyadaddun lokaci.
• Nemo maɓallin 'Malamai & Dabaru' a saman allon kuma danna kan shi.
• A cikin akwatin bincike, rubuta 'Linear Regression Channel' kuma zaɓi kayan aiki daga lissafin da ya bayyana.
• Danna kan ginshiƙi inda kake son fara tashar kuma ja layin zuwa wurin da ake so.

Tashar Regression Linear zai bayyana tare da tsakiyar layi mai gefe da madaidaiciyar layi na sama da ƙasa. Keɓance tashar ta zaɓi ta kuma danna gunkin gear da ya bayyana. Wannan yana ba ku damar canza kamanni, saitunan karkata, da sauran sigogi.

Duk dandamali na MT4 da TradingView suna ƙididdigewa ta atomatik kuma zana tashar ta dogara da zaɓaɓɓun wuraren bayanai, suna sauƙaƙe tsari don traders. Daidaitawar waɗannan kayan aikin yana ba da damar haɗawa cikin sauƙi cikin nau'ikan daban-daban ciniki dabaru, haɓaka hanyoyin yanke shawara don shigarwar, fita, da yuwuwar juyewa.

2.1. Zaɓan Tsawon Tashoshin Juya Madaidaicin Layi

Ƙayyade Mafi kyawun Tsawon

Zaɓin tsayin da ya dace don a Tashar Regression Linear yanke shawara ne mai mahimmanci wanda ke shafar hankali da amincin siginar da yake samarwa. The lokaci cinikin da kuke yi a ciki zai tasiri sosai tsawon tashar da ya kamata ku yi aiki. Intraday traders na iya fi son ɗan gajeren tsayi don ɗaukar matakan matakan farashin minti zuwa minti, yayin lilo. traders na iya zaɓar tsayin tsayi don nazarin manyan abubuwan da ke faruwa.

Tsawon tashar ya dace da adadin lokutan da aka yi amfani da su don lissafin koma baya. Wani ɗan gajeren tsayi zai iya samar da madaidaicin dacewa a kusa da aikin farashin kwanan nan, wanda zai iya zama da amfani don gano abubuwan da ke faruwa na gajeren lokaci da kuma sake dawowa. A gefe guda, tsayin tashoshi mai tsayi yana ba da fa'ida mai fa'ida, mai yuwuwar rage hayaniyar kasuwa da kuma nuna abubuwan da ke faruwa na dogon lokaci. Duk da haka, yana da mahimmanci a lura cewa tsayi mai tsayi zai iya raguwa sosai, yana sa tashar ta rage tasiri don yanke shawara akan lokaci.

Mafi kyawun tsayin tashoshi kuma yana lissafin abubuwan rashin daidaituwar tsaro. Kasuwannin da ba su da ƙarfi na iya buƙatar dogon tsayi don guje wa siginar ƙarya fiye da kima, yayin da ƙananan kasuwannin da ba su da ƙarfi za a iya tantance su sosai tare da ɗan gajeren tsayi.

Backtesting kayan aiki ne da ba makawa a cikin wannan tsarin zaɓin. Ta hanyar amfani da tsawon tashoshi daban-daban zuwa bayanan tarihi, traders na iya tantance waɗanne saituna a tarihi sun ba da mafi kyawun sigina don salon kasuwancin su da amincin da suke trade.

karbuwa don canza yanayin kasuwa yana da mahimmanci. A kai a kai sake kimanta tsawon tashar don tabbatar da cewa ya dace da yanayin kasuwa na yanzu zai iya taimakawa wajen kula da ingancin wannan kayan aikin nazari. Hanya madaidaiciya na iya haifar da raguwar aiki kamar kasuwar volatility kuma al'amuran suna tasowa.

A zahiri, madaidaiciyar Tashar Regression ta Linear madaidaiciya ba siga ce mai girman-ɗaya ba amma zaɓin dabarun da aka keɓance ga manufofin ciniki na mutum ɗaya, yanayin kasuwa, da halayen tsaro. traded.

2.2. Daidaita Saitunan Tashoshin Tashin Hankali na Layi

Daidaita Madaidaicin Ƙimar Rabawa

Kyakkyawan daidaitawa da daidaitattun dabi'u karkata na Channel Regression Linear yana da mahimmanci don daidaita kayan aiki tare da dabarun ciniki. Saitin tsoho yawanci 2 daidaitattun sabani ne, wanda ke rufe kusan kashi 95% na aikin farashi, yana ɗaukan rarraba na yau da kullun. Duk da haka, ba koyaushe ana rarraba kasuwanni ba, kuma traders na iya samun ƙarin nasara tare da gyare-gyare.

Ta hanyar haɓaka ƙimar, tashar ta faɗaɗa, wanda zai iya dacewa da kasuwanni masu canzawa kamar yadda ya rage yiwuwar lalacewa akai-akai, wanda zai iya haifar da alamun karya. Sabanin haka, rage darajar yana ƙunsar tashar, ƙara yawan hankali ga motsin farashi da yuwuwar samar da sigina na farko a cikin ƙananan yanayi mara ƙarfi.

Keɓance Abubuwan Ganuwa

Gyaran gani na gani yana haɓaka iya karanta tashar da tasiri. Traders iya canza layin launi da salo don bambanta tsakanin layin tsakiya na tsakiya da babba da ƙananan iyakoki. Bayyanar bambance-bambancen gani yana taimakawa wajen bincike cikin sauri, musamman lokacin da aka yi amfani da tashoshi da yawa akan ginshiƙi ɗaya.

Canjin Channel don Ƙarfin Trend

Matsakaicin tashar Regression Linear yana ba da haske a cikin ƙarfi na Trend. Matsakaicin kusurwa yana nuna yanayi mai ƙarfi, ko dai baƙar fata ko ja. Traders zai iya daidaita kusurwa ta hanyar canza tsawon tashar don mafi kyawun kama shi lokacinta na yanayin da suke nazari.

Amsa Ta Hanyar Daidaita Tsawon Lokaci

Tsawon tashar yana ƙaddamar da amsawa. Gajerun tashoshi sun fi maida martani ga canje-canjen farashi, wanda zai iya zama tallavantageous don kama saurin ƙungiyoyin kasuwa. Wannan saitin zai iya zama da amfani musamman ga rana traders. Dogayen tashoshi suna fitar da rashin ƙarfi na ɗan gajeren lokaci, wanda ƙila za a iya fifita ta traders neman ƙarin ci gaba trends.

Traders yakamata su sake yin la'akari da waɗannan saitunan akai-akai don tabbatar da tashar ta ci gaba da dacewa da yanayin kasuwa na yanzu da salon kasuwancin su. Kamar yadda yanayin kasuwa ke motsawa, haka ma mafi kyawun saituna don Tashar Regression Linear.

2.3. Shigar da Tashar TradingView Regression Mai layi

Matakan Shigarwa akan TradingView

Shigar da tashar Regression Linear akan TradingView yana buƙatar tsari mai tsari. Fara da buɗe ginshiƙi na kadarar da kuke son tantancewa. Tabbatar an saita ginshiƙi zuwa lokacin da ake so wanda ya dace da dabarun kasuwancin ku, saboda wannan zai tasiri dacewa da siginar tashar.

Na gaba, kewaya zuwa Manuniya & Dabaru menu wanda yake a saman TradingView interface. Danna kan wannan maballin yana nuna alamar bincike. Anan, yakamata ku buga 'Channel Regression Line' kuma danna shiga. Babban ɗakin karatu na kayan aikin TradingView zai nuna alamar da ta dace.

Da zarar kun gano tashar Regression Linear a cikin sakamakon binciken, dannawa ɗaya zai ƙara tashar zuwa ginshiƙi na ku. Matsayin farko zai dogara ne akan bayanan bayyane a cikin taga ginshiƙi na ku. Koyaya, don ingantaccen bincike, zaku iya daidaita wuraren farawa da ƙarshen tashar ta dannawa da ja su zuwa ainihin bayanan bayanan da kuke sha'awar.

Bayan ƙara tashar, ana samun gyare-gyare ta hanyar gunkin saitunan da ke bayyana lokacin da aka zaɓi tashar. Anan, zaku iya daidaitawa daidaitattun dabi'u karkata da kuma abubuwan gani kamar launi da salon layi, daidaita tashar zuwa abubuwan da kuke so da kuma tabbatar da ta dace da saitin ginshiƙi.

Ma'auni na tashar ba a tsaye ba; ya kamata a sake duba su lokaci-lokaci don kiyaye daidaituwa tare da haɓaka yanayin kasuwa. Wannan tsarin jujjuyawar yana tabbatar da Tashoshin Regression Channel ya kasance ƙwaƙƙwaran ɓangaren kayan aikin bincike na fasaha akan TradingView.

2.4. Haɗa tashoshi na koma bayan layin layi zuwa MT4

Haɗa tashar Regression Linear zuwa MT4

Haɗa Tashoshin Juyin Juya Hali a cikin MT4 dandamali shine tsari mai sauƙi wanda ya ƙunshi amfani da kayan aikin zane na tashar da aka gina. Da zarar MT4 ya buɗe, sai a buɗe trader ya zaɓi ginshiƙin kadari da ake so kuma ya kewaya zuwa ga 'Saka' menu. A cikin wannan menu, zabar 'Tashoshi' sannan kuma 'Linear Regression' yana kunna fasalin zane.

Mataki na gaba shine ayyana sigogin tashar. Ana yin wannan ta dannawa da jan linzamin kwamfuta daga wurin farawa da ake so zuwa ƙarshen ƙarshen ginshiƙi, wanda ya dace da takamaiman lokacin. trader yana son yin nazari. Daga nan MT4 za ta samar da tashar ta atomatik bisa ga bayanan shigarwa, tare da layin tsakiya wanda ke wakiltar koma bayan farashi a cikin ƙayyadadden lokacin.

gyare-gyare Zaɓuɓɓukan suna samun dama ta danna dama akan tashar. Wannan aikin yana buɗe kaddarorin tashar a inda traders na iya canza daidaitattun dabi'un karkatattun dabi'u da bayyanar gani na tashar don dacewa da abubuwan da suke so. Irin waɗannan gyare-gyare na iya haɗawa da canza canjin launi, salon layi, da faɗi don mafi kyawun gani da bambanta daga sauran abubuwan ginshiƙi.

Sassauci na MT4 yana ba da damar yin hulɗa mai ƙarfi tare da Tashoshin Regression Linear. Traders na iya daidaita matsayi da tsayin tashar ta danna kan layi na tsakiya, wanda ke ba su damar canza tashar ko fadada ƙarshen ƙarshensa, don haka sake sake tashar tashar don yin la'akari da bayanan da aka sabunta ko don bincika lokuta daban-daban.

Amsawa babban siffa ce ta kayan aikin tashar Regression Linear MT4. Yayin da sabbin bayanan farashin ke samuwa, tashar ta sabunta ta atomatik, tana tabbatar da hakan traders suna da mafi yawan bayanan yanzu don tallafawa yanke shawara. Wannan ingantaccen ingancin yana da mahimmanci don daidaitawa ga ƙungiyoyin kasuwa na lokaci-lokaci da rashin ƙarfi.

3. Yadda ake Amfani da Tashar Regression Linear a Kasuwanci?

Gano Wuraren Shiga da Fita

The Tashar Regression Linear yana ba da tsarin gani don gano yuwuwar shigarwa da wuraren fita. Lokacin da farashin ya kai ƙananan iyakar tashoshi, yana iya yin siginar damar siye, yana nuna cewa kadarorin na da yuwuwar rashin kima ko kima. Sabanin haka, tuntuɓar kan iyaka na sama na iya nuna yanayin da aka yi fiye da kima, wanda zai sa traders don yin la'akari da siyarwa ko rage kadarar. Yana da mahimmanci, duk da haka, a haɗa waɗannan sigina tare da wasu alamomi don tabbatar da ƙarfin yuwuwar sigina ko siyarwa, saboda dogaro da taɓa tashar tashoshi kawai na iya haifar da tabbataccen ƙarya.

Tabbatar da Trend

Traders sau da yawa suna neman tabbatar da wani yanayi kafin aiwatarwa trades. Lokacin da farashin ya ci gaba da billa daga ƙananan layin tashar kuma ya matsa sama, yana ƙarfafa yanayin haɓaka. Hakazalika, maimaita tuntuɓar layi na sama wanda ke biye da yanayin farashin ƙasa zai iya tabbatar da yanayin bearish. Tsayar da farashin ta hanyar tashar, musamman idan tare da babban girma, na iya nuna yuwuwar juyawar yanayin. A irin wannan yanayi, traders na iya jira ƙarin tabbaci kafin yin aiki, saboda breakouts na iya zama na ɗan lokaci.

hadarin Management

Saita odar tasha-asarar a waje da layin tashar zai iya taimakawa traders sarrafa hadarin. Idan an ɗauki matsayi mai tsawo kusa da ƙananan layin tashar, ajiye asarar tasha kadan a ƙasa zai iya iyakance yiwuwar raguwa. Don ɗan gajeren matsayi da aka fara a layin tashar ta sama, tsayawa sama da wannan iyaka na iya yin amfani da irin wannan manufa. Daidaita asarar tasha yayin da tashar ke tasowa tare da yanayin yana ba da damar dabarun sarrafa haɗari mai ƙarfi.

Nazarin Momentum

gangaren tashar tana ba da haske game da yadda yanayin ke gudana. Tashar mai gangarewa tana nuna ƙarfi mai ƙarfi, yayin da tashar da ke da gangare mai zurfi na iya nuna ƙarancin ƙarfin yanayi. Traders na iya amfani da wannan bayanin don daidaita girman matsayinsu ko don ƙarfafa matakan hasarar tsayawa, ya danganta da ƙarfin fahimtar yanayin.

3.1. Gano Juyin Kasuwa tare da Tashoshin Juya Juyin Halitta

Gano Juyin Kasuwa tare da Tashoshin Juya Juyin Halitta

Tashar Regression Linear kayan aiki ne mai ƙarfi don gano yanayin yanayin, ƙyale traders don hangen nesa biyu jagora da saurin yanayin kasuwa. Banbancin ra'ayi a bayyane yake; tashar da ke gangarowa zuwa sama yana nuna haɓakar haɓaka mai ƙarfi, yayin da gangaren ƙasa ke nuna ƙasa. Tashoshi na kwance na iya nuna kasuwa mai iyaka inda traders na iya tsammanin matakin farashi na gefe.

Traders na iya yin amfani da su yanayin tsinkaya na Gidan Regression Linear ta hanyar lura da yadda farashin ke hulɗa tare da tsaka-tsakin layi. Kasuwa mai mutunta wannan tsaka-tsakin layi a matsayin a pivot aya alamun alama mai ƙarfi mai ƙarfi, tare da layin tsaka-tsaki yana aiki azaman tallafi a cikin haɓakawa ko juriya a cikin ƙasa. Juyewar karkata daga layin tsaka-tsaki na iya sigina raƙuman ƙarfi ko sauyin yanayi mai zuwa.

Tashar Regression Linear shima yana taimakawa wajen ganowa Trend ƙarfi ta fadin tashar. Ƙananan tashoshi suna nuna ƙaƙƙarfan alaƙa a cikin motsin farashi, yana ba da ƙarin tabbataccen yanayi. Sabanin haka, tashoshi masu faɗi suna nuna mafi girman juzu'i da ƙarancin jagorar farashi, mai yuwuwar yin sigina mara ƙarfi ko lokacin canji.

Matsakaicin farashi a cikin tashar yana aiki a matsayin masu nuna alamun ƙarancin gajiya. Lokacin da farashi akai-akai ya taɓa ko karya ta kan iyakokin tashar, yana iya ba da shawarar yanayin da ya wuce gona da iri, yana haifar da traders don kallon alamun juyawa ko haɓakawa. Duk da haka, ya kamata a kimanta irin waɗannan matsananci tare da sauran alamun fasaha don haɓaka amincin kima na yanayin.

Tashar Regression Linear, idan an daidaita shi da kuma fassara shi da kyau, yana aiki azaman ginshiƙi don nazarin abubuwan da ke faruwa a cikin trader's arsenal, samar da tsarin da aka tsara don fahimtar yanayin kasuwa.

3.2. Shigarwa da Fitar lokaci

Mafi kyau Trade Kisa tare da Tashoshin Regression Linear

Lokacin amfani Tashoshin Juya Juyin Halitta don shigarwar lokaci da fita, daidaito yana da mahimmanci. Matsakaicin tashar tashar sau da yawa yana aiki a matsayin mahimmanci; Farashin komawa zuwa wannan layin na iya gabatar da mafi kyawun wuraren shiga. Traders na iya yin amfani da wannan jujjuyawar ta hanyar shigar da dogon matsayi yayin da farashin ke billa kan iyakar tashar tashoshi kuma ya kusanci tsaka-tsaki, ko ta fara gajerun wurare lokacin da farashin ya sauko daga kan iyaka zuwa matsakaici.

Breakouts daga iyakokin tashoshi suna ba da wata dabarar shigarwa ko damar fita. Madaidaicin kusanci a wajen tashar na iya sigina ƙaƙƙarfan matsawa daga ma'anar koma-baya, yana ba da garantin shigarwa zuwa sabon matsayi ko fita daga na yanzu. Duk da haka, yana da mahimmanci don tabbatar da waɗannan ɓarna tare da wasu alamun fasaha ko mahimmancin ƙara don tace siginar ƙarya.

Reactivity tare da tabbatarwa m ma'auni ne a cikin lokacin shigarwar kasuwa da fita. Yayin da amsa da sauri ga farashin taɓa layin tashoshi na iya samar da sauri trades, jiran ƙarin tabbaci, kamar ƙirar fitila ko a motsi matsakaici crossover, zai iya rage haɗarin amsawa ga hayaniya. Teburin da ke ƙasa yana zayyana bambanci tsakanin matakin gaggawa da neman tabbaci:

Don inganta ingantaccen lokaci, traders kuma iya la'akari da lokaci na jadawalin su. Gajeren lokaci na iya buƙatar shigar da sauri da fita, yayin da tsayin lokaci zai iya ba da damar yin shawarwari. Gudun tashar tashar da kuma matsayi na farashin da ke ciki ya kamata ya jagoranci gaggawa na trade kisa.

Hanya mai ƙarfi wacce ta dace da yanayin kasuwa na yanzu ba koyaushe zai inganta ingancin amfani da Tashoshin Regression Linear don lokaci ba. trades. Kamar yadda kasuwanni ke tasowa, haka ya kamata tradeDabarun r don shigarwa da fita, koyaushe suna daidaitawa tare da babban yanayin kasuwa da yanayin da tashar ke nunawa.

3.3. Haɗa tashoshi na koma baya na layi tare da wasu Manuniya

Haɓaka Dogaran Sigina tare da Haɗuwa

Haɗa tashar Regression Linear tare da sauran alamun fasaha yana haifar da haɗakar sigina, haɓaka amincin yuwuwar. trade saitin Misali, a motsi Average na iya aiki azaman ƙarin tacewa; lokacin da farashin da tashar ke sama da matsakaicin motsi na dogon lokaci, yana ƙarfafa ra'ayi mai ban sha'awa, kuma akasin haka don yanayin bearish.

Dangi Ƙarfin Index (RSI) da kuma stochastic Oscillator ne Alamar motsi wanda zai iya tabbatar da yawan siyayya ko siyar da yanayin da aka ba da shawarar ta iyakokin tashar. Lokacin da karatun RSI ko Stochastic yayi daidai da farashin da ke taɓa layukan tashar sama ko ƙasa, yana ƙarfafa lamarin don yuwuwar juyawa.

Manuniyar juzu'i, kamar su Ƙarar Ma'auni (OBV), zai iya tabbatar da ƙarfin motsin motsi a cikin tashar. Ƙara OBV mai rakiyar farashin farashin zuwa layin tashar tashar sama yana goyan bayan yanayin haɓaka, yayin da rage OBV tare da farashin da ke motsawa zuwa ƙananan iyaka na iya tabbatar da ƙarfin bearish.

Ta hanyar haɗa tashar Regression Linear tare da waɗannan alamomi, traders na iya tace sigina masu rauni, mai da hankali kan saiti mai yuwuwa, da aiwatarwa trades tare da amincewa mafi girma.

Ingantaccen Tsarin Shigar da Dabarun Fita

Bollinger makada za a iya amfani da shi tare da Linear Regression Channel don daidaita shigarwa da wuraren fita. Lokacin da farashin ya taɓa ɓangarorin Bollinger na waje da madaidaicin iyakar tashar, ƙarfafa waɗannan sigina biyu na iya nuna yuwuwar juyawar farashin.

Fibonacci matakan sakewa, lokacin da aka lullube kan ginshiƙi, na iya ba da ƙarin matakan tallafi da juriya. Traders na iya neman halayen farashi kusa da matakan Fibonacci waɗanda suka yi daidai da layin tashoshi don gano yuwuwar juyawa a kasuwa.

Yin amfani da waɗannan alamun tare da haɗin kai tare da Tashoshin Regression Linear yana ba da damar traders don daidaita dabarun su, da nufin yin daidai lokacin shiga da fita kasuwa.

4. Menene Mafi kyawun Dabaru don Kasuwancin Tashoshin Regression Linear?

Mafi kyawun Dabaru don Kasuwancin Tashoshin Regression Linear

Mafi kyawun dabarun ciniki tare da Tashoshin Juya Juyin Halitta tangaran a tradeiyawar r don fassara mahallin kasuwa da amfani da haɗin gwiwar fasaha. Hanya mai ƙarfi ta haɗa da haɗin kai halin tashar tare da price mataki da kuma Alamar motsi. Misali, a trader na iya jira ƙin yarda da farashi a kan iyakar tashar da aka tabbatar ta hanyar fil ko tsarin lalata, yayin da kuma neman rarrabuwa tare da oscillator kamar RSI ko MACD, yana nuna hasara mai ƙarfi.

Daidaitaccen girman matsayi dangane da gangaren tashar tashar da rashin daidaituwa na iya ingantawa trade sakamakon. Matsakaicin gangare mai tsayi tare da babban canji na iya ba da shawarar haɓaka mai ƙarfi, tabbatar da girman matsayi. Sabanin haka, tashoshi mai faɗi a cikin yanayin rashin ƙarfi na iya ba da garantin matsayi mai mahimmanci.

Lokacin shigarwa da fita yakamata yayi daidai da layin tsakiya kuzarin kawo cikas. Shiga trades yayin da farashin ya kusanci wannan layin daga gefen tashar zai iya yin amfani da ma'anar juyawa. Tsare-tsare tsarin fita, kamar tasha mai bin diddigi ko ƙayyadaddun manufa a akasin layin tasho, na iya kulle ribar da sarrafa haɗarin ƙasa.

Hanyoyin kasuwa taka muhimmiyar rawa; a cikin kasuwanni masu tasowa, dabarun na iya mayar da hankali kan fashewa ko billa trades cewa daidaita tare da rinjaye Trend. Sabanin haka, a lokacin da ake da iyaka, yana nufin komawa baya trades na iya zama mafi yaduwa. Gano lokaci na kasuwa yana taimakawa wajen zaɓar bambancin ciniki da ya dace - tsayin daka cikin haɓakawa, gajere a cikin downtrends, ko duka kwatance lokacin kasuwa yana gefe.

Daidaituwa a aikace-aikace da ci gaba da bita na ma'auni na dabarun tabbatar da daidaituwa tare da canje-canjen kasuwa. Ci gaba ilmantarwa daga baya trades da kuma halin kasuwa suna tsaftace dabarun, kiyaye shi dacewa da tasiri.

Daga ƙarshe, mafi kyawun dabarun ciniki na Tashar Regression Linear yana keɓantacce, yana haɓaka tare da tradegwaninta r ​​da fahimtar kasuwa, kuma an ladabtar da shi a cikin aiwatarwa.

4.1. Tashar Regression Linear vs Standard Deviation Channel

Tashar Regression Linear vs Standard Deviation Channel

The Tashar Regression Linear da kuma Madaidaicin Tashar Maɓalli sun bambanta a cikin tsarinsu don ɗaukar yanayin kasuwa da rashin daidaituwa. Gidan Regression Channel yana mai da hankali kan mafi kyau fit line ta hanyar tsakiyar bayanan farashin, tare da layi ɗaya na sama da ƙananan layi bisa ga mafi girma da ƙananan ƙananan. Wannan yana haifar da tashar da ta dace da canje-canje a farashin, yana ba da ra'ayi kai tsaye na jagorancin yanayin da ƙarfinsa.

Da bambanci, da Madaidaicin Tashar Maɓalli yana saita iyakokin tashoshi a ƙayyadaddun adadin daidaitattun sabawa nesa da maƙasudin ma'anar koma-bayan layi. Wannan hanyar tana nuna rashin daidaituwar farashin, yayin da tashar ke faɗaɗa tare da haɓaka ƙimar farashin da raguwa lokacin da farashin ya haɓaka.

Dogaro da Standard Deviation Channel ta dogara ga matakan ƙididdiga ya sa ya kula da masu fita, wanda zai iya tasiri sosai ga matsayi na tashar. Sabili da haka, yana iya zama da amfani musamman a kasuwannin da rashin daidaituwa ke da mahimmanci, yana ba da haske game da matsanancin halin kasuwa.

A halin yanzu, tashar Regression Linear sau da yawa ana fifita shi don sauƙi da tasiri wajen gano tsakiyar yanayin motsin farashin. Yana aiki azaman madaidaiciyar hanya don traders don tantance ingancin yanayin da kuma nuna yiwuwar shigarwa da wuraren fita bisa tushen goyon baya da layin juriya na tashar.

Traders na iya zaɓar tsakanin waɗannan tashoshi dangane da salon kasuwancin su da kuma yanayin halayen kasuwa da suke son kamawa. Wadanda ke mayar da hankali kan yanayin ci gaba da kuma nufin komawa baya dabarun na iya fifita tashar Regression Linear, yayin da tradedamuwa da rs kasuwar volatility da kuma matsananci farashin zai iya ficewa ga Standard Deviation Channel.

Shawarar yin amfani da tashoshi ɗaya akan ɗayan kuma yana iya yin tasiri ta hanyar lokaci na ciniki. Misali, gajere traders na iya fifita Standard Deviation Channel don azancin sa ga motsin kasuwa kwatsam, alhali kuwa na dogon lokaci traders zai iya zaɓar tashar Regression Linear don halayensa masu zuwa.

Dukansu tashoshi, idan aka yi amfani da su daidai, suna ba da ra'ayi mai mahimmanci akan haɓakar kasuwa, da ƙwarewa trader zai iya amfani da su gabaɗaya don cin gajiyar yanayin kasuwa daban-daban, haɗa bincike na yanayi tare da fahimtar canji.

4.2. Ƙirƙirar Dabarun Tashoshin Juya Juyin Juya Hali

Daidaita Dabarun zuwa Yanayin Kasuwa

Haɓaka dabara a kusa da Tashoshin Regression Linear yana buƙatar fahimtar yanayin kasuwa mai gudana. A cikin a m kasuwa, sigogin tashar na iya buƙatar daidaitawa don asusu don sauye-sauyen farashi mai faɗi. Hanyar da ta fi dacewa, tare da mayar da hankali kan tashar tashar tashar tashar a matsayin mai yuwuwar shiga ko fita, na iya rage haɗari na motsi na kasuwa kwatsam.

Sabanin haka, a cikin a m maras tabbas, trending kasuwa, dabarun na iya jaddada iyakokin tashoshi a matsayin mahimman wuraren sha'awa. Anan, da trader na iya neman siginar aikin farashi kamar tabawa, bounces, ko karya daga cikin waɗannan iyakoki don yin yanke shawara na ciniki.

Haɗa Tsararren Lokaci don Gyara Dabarun

Binciken lokaci-lokaci da yawa na iya haɓaka dabarun Regression Channel na Linear, yana ba da damar gwajin ƙima na shigarwa da wuraren fita. Na a mafi girma lokaci, tashar na iya gane yanayin farko, yayin da a ƙananan lokaci zai iya ba da damar shiga daidai yayin da farashin ke hulɗa da tashar akan ƙaramin sikelin.

Gudanar da Hadarin Adaɗi

Gudanar da haɗari a cikin dabarun Regression Channel na Linear yana da ƙarfi. The trader ya kamata ya daidaita odar tasha-asara don mayar da martani ga tashar tashoshi mai tasowa da kuma yanayin kasuwa. Matsakaicin tudu na iya yin kira ga ƙarancin tsayawa-asara, yana nuna ƙarar daɗaɗawa, yayin da gangara mai faɗi na iya buƙatar tsayawa mai faɗi don ɗaukar ƙaramin motsi.

Ci gaba da kimanta Dabarun

Dabarun Tashar Regression Channel mai nasara ba ta tsaya ba; yana buƙatar ci gaba da kimantawa da daidaitawa. Backtesting dabarun a fadin yanayi daban-daban na kasuwa da lokutan lokaci yana tabbatar da ƙarfinsa da daidaitawa. Bugu da ƙari, haɗawa ainihin-lokaci amsa daga kasuwanni damar da trader don daidaita ma'aunin dabarun don ingantaccen aiki.

Yin Amfani da Kayan Aikin Fasaha

Yin amfani da software na kasuwanci tare da ci-gaba na iya yin jadawali na iya daidaita tsarin haɓaka dabarun. Siffofin da ke ba da izinin zane mai sauƙi da daidaitawa na Linear Regression Channel, da kuma haɗin kai na sauran alamun fasaha, suna da mahimmanci. Kayan aikin atomatik kuma na iya taimakawa wajen aiwatarwa trades dangane da ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun tsari, tabbatar da horo da daidaito wajen aiwatar da dabarun.

A cikin ƙirƙira dabarun Regression Channel na Linear, da trader dole ne ya kasance mai ƙarfi, daidaitawa ga sauye-sauyen kasuwa da ci gaba da neman inganta tsarin su ta hanyar bincike, sarrafa haɗari, da kuma amfani da kayan aikin fasaha.

4.3. Ra'ayin Gudanar da Hadarin

Girman Matsayi Yayi Daidai da Halayen Tashoshi

Girman matsayi shine muhimmin abu a cikin sarrafa haɗari lokacin ciniki tare da Tashoshin Regression Linear. The gangara ta tashar da kuma rashin ƙarfi na yanzu ya kamata kai tsaye tasiri girman girman trade. Matsakaicin gangaren tashoshi, mai nuni ga yanayin ƙaƙƙarfan yanayi, na iya tabbatar da ƙara girman matsayi, amma wannan ya zo tare da fa'idar yuwuwar haɗarin mafi girma idan yanayin ya koma ba zato ba tsammani. Akasin haka, trades a cikin tashar da ke da gangara mai laushi ya kamata ya kasance mai ra'ayin mazan jiya a girman, yana nuna ƙaramar ƙarfi da mafi girman damar yanayin kewayo.

Dabarun Sanya Asara

Dole ne a sanya odar tsayawa-asara cikin tunani don kare babban birnin yayin ba da izinin canjin farashi na yau da kullun a cikin tashar. Dabarar gama gari ta ƙunshi saiti dakatar da asarar kawai a waje da iyakokin tashar, samar da buffer akan karya karya. Duk da haka, rashin daidaituwa-daidaita asarar tasha bayar da mafi sophisticated hanya, la'akari da matsakaitan gaskiya (ATR) ko sauye-sauyen farashin kwanan nan, don haka daidaita wurin tsayawa tare da halayen kasuwa na yanzu.

Yin Amfani da Tsayawa Tafiya

Tsayawar bin diddigi na iya zama ingantaccen kayan aiki don tabbatar da riba yayin da ke riƙe faɗuwa ga yuwuwar ƙarin motsin farashi a cikin tradeyardar r. Yayin da farashin ke motsawa a cikin tashar, za a iya daidaita tasha na bin diddigin don bi a nisa mai nisa daga farashin yanzu ko layin tsaka-tsakin tashar. Wannan hanyar tana tabbatar da cewa trade ya kasance a kiyaye shi daga juye-juye, yayin da kuma ba da izinin haɓaka riba yayin haɓaka mai ƙarfi.

Bambance-banbance Tsakanin Kayan Aikin

diversification wata mahimmin dabarar sarrafa haɗari ce wacce za a iya amfani da ita a cikin mahallin ciniki na Tashar Regression Linear. Ta hanyar yadawa tradedaban-daban kayan aiki ko azuzuwan kadari, traders na iya rage tasirin kowane mummunan motsi guda ɗaya. Yana da hankali don zaɓar kayan aikin da ke da matakan daidaitawa daban-daban, tabbatar da cewa tasirin kasuwa ya shafi ɗaya ba lallai bane ya yi tasiri ga sauran ta hanya ɗaya.

Ƙimar Rabo Haɗari zuwa Lada

Kafin shiga a trade, Yin la'akari da yuwuwar haɗarin haɗari-da-lada yana da mahimmanci. Da kyau, traders ya kamata ya nemi saiti inda lada mai yiwuwa ya tabbatar da haɗarin da aka yi. Wannan kima ya kamata ya kasance cikin ikon tsinkayar tashar da kuma aikin tarihi na saitin irin wannan. Trades tare da yuwuwar nasara mafi girma, kamar yadda ma'aunin tashar ta nuna da haɗuwa tare da wasu alamomi, na iya ba da garantin ƙarin haɗarin haɗari-zuwa lada.

Ta hanyar haɗa waɗannan la'akari cikin dabarar Tashoshin Regression Linear, traders na iya sarrafa haɗari cikin tsari, kare babban birninsu, da haɓaka yuwuwar sakamako mai kyau.

5. Abin da za a yi la'akari da lokacin ciniki tare da Tashoshin Regression Linear?

Tantance Yanayin Farashin

Lokacin ciniki da Tashoshin Juya Juyin Halitta, Yin nazarin mahallin farashi mai faɗi yana da mahimmanci. Bayan lura da gangaren tashar tashar da iyakoki, la'akari da halayen tarihi na kadari a cikin tsarin tashoshi iri ɗaya. Nemo mai maimaitawa price mataki alamu da halaye na yau da kullun a layin tashoshi, wanda zai iya ba da haske game da motsi na gaba. Wannan hangen nesa na tarihi na iya zama mai mahimmanci musamman idan an haɗa shi da tunanin kasuwa na yanzu da alamun tattalin arziki.

Gyaran Tashoshi

Daidaitawar tashar tashar talla ce mai mahimmancivantage, amma kuma yana wajabta yin taka tsantsan. Traders dole ne a shirya don daidaita tashar yayin da sabbin bayanan farashin ke fitowa. Wannan ya haɗa da sake kimanta wuraren anka waɗanda ke ayyana gangaren tashar da kuma tabbatar da cewa sun kasance masu dacewa da tsarin kasuwa na yanzu. Hakanan yana da mahimmanci a gane lokacin da tashar ta daina aiki saboda gagarumin canjin kasuwa, yana buƙatar zana sabon tasha.

Daidaitawa da Sauran Kayan aiki

Ka yi la'akari da hulda na kadarar da kuke ciniki a cikin Tashar Regression Linear zuwa wasu kayan aiki ko azuzuwan kadara. Ƙaƙƙarfan dangantaka mai kyau ko mara kyau na iya siginar motsi na lokaci ɗaya ko kuma alaƙar da ba ta dace ba, wanda zai iya tasiri ga tradesakamakon. Kula da kadarorin da ke da alaƙa na iya ba da gargaɗin farko ko tabbatarwa don motsi a cikin tashar.

Sakin Tattalin Arziki da Abubuwan da ke faruwa

Kasance da sanin tsarin sakewar tattalin arziki da kuma abubuwan da suka faru wanda zai iya haifar da sauyin kasuwa kwatsam. Irin waɗannan abubuwan na iya haifar da ƙayyadaddun farashin farashi wanda ke karya iyakokin tashar na ɗan lokaci. A cikin waɗannan lokuta, yana da mahimmanci a gane tsakanin sauye-sauye na gaskiya da kuma halayen wucin gadi ga labarai, wanda bazai haifar da gyare-gyaren dabarun ba.

Matakan Farashin Ilimin Halitta

A ƙarshe, yarda da tasirin m farashin matakan-Lambobin zagaye, manyan maɗaukaki/ƙasassun tarihi, da maki masu mahimmanci-waɗanda za su iya aiki azaman shinge na halitta ko maƙasudi don motsin farashi a cikin tashar. Waɗannan matakan sau da yawa sun zo daidai da mahimman halayen kasuwa kuma ya kamata a ƙididdige su trade tsare-tsare da yanke shawara gudanar da haɗari.

5.1. Canjin Kasuwa da Tashar Tashin Hankali

Canjin Kasuwa da Tashar Tashin Hankali

Canjin kasuwa yana tasiri sosai ga aikace-aikace da fassarar Tashar Regression Linear (LRC). A lokacin babban rashin ƙarfi, sauye-sauyen farashi na iya haifar da keta iyakokin tashoshi akai-akai. Traders dole ne su gane ko waɗannan ƙetare suna wakiltar fashewar gaske ko kuma sakamakon hayaniyar kasuwa ne kawai. Daidaita LRC don haɗa waɗannan ƙungiyoyi masu canzawa na iya samar da ingantacciyar wakilcin yanayin a ƙarƙashin irin waɗannan yanayi.

Amfanin LRC a cikin kasuwanni masu canzawa ya ta'allaka ne cikin ikonta na daidaitawa ga sauye-sauyen farashi da bayar da hangen nesa mai ƙarfi kan ƙarfin yanayi da yuwuwar juyewa. Ta hanyar nazarin abubuwan Farashin LRC a lokacin tashin hankali, traders na iya auna saurin yanayin. Matsakaicin gangare na iya haifar da haɓaka ƙarfin haɓakawa, yayin da gangara mai faɗi na iya nuna yuwuwar raguwa ko koma baya.

Ƙimar ƙarfin ƙarfi-daidaita matsayi wani muhimmin al'amari ne mai mahimmanci yayin ciniki tare da LRC a cikin kasuwanni masu tashin hankali. Traders na iya zaɓar ƙananan girman matsayi don yin lissafin babban haɗarin tashe-tashen hasarar da kuma sarrafa bayyanar su gaba ɗaya.

Haɗa alamar rashin ƙarfi, kamar su Matsakaicin Gaskiya (ATR), tare da LRC na iya haɓaka dabarun. ATR na iya samar da ma'auni na ƙididdige ƙididdiga na halin yanzu, yana ba da damar ƙarin yanke shawara game da gyare-gyaren tashoshi da wuraren tsaida asarar. Ta hanyar saita tasha dangane da ATR, traders na iya ƙirƙirar buffer wanda ya dace da rashin daidaituwa ba tare da barin matsayi ba a kan ƙananan farashin farashi ba.

Ƙimar rashin ƙarfi na lokaci-lokaci wajibi ne ga traders ta amfani da LRC. Ci gaba da lura da yanayin kasuwa da daidaita tashar tashar da ma'auni na kasuwanci daidai zai iya taimakawa wajen kula da tasiri na dabarun. Wannan hanya mai fa'ida tana ba da damar traders don amsawa da sauri ga canje-canje a cikin rashin daidaituwa, mai yuwuwar haifar da ingantacciyar haɗarin-daidaita dawowa.

5.2. Muhimmancin Gwajin Baya

Komawa: Muhimmin Mataki a Ci gaban Dabaru

Gwajin baya wani muhimmin tsari ne don tabbatar da dabarun Regression Channel (LRC). Ta hanyar amfani da bayanan tarihi zuwa dabarun, traders iya kwaikwayi aikin ciniki. Wannan simintin yana bayyana ƙarfi da rauni, yana ba da tushe ga dabarun gyarawa. Mahimmanci, gwaji na baya yana ba da damar kimanta dabarun a duk yanayin kasuwa daban-daban, yana tabbatar da ƙarfinsa game da sauye-sauyen da ba a zata ba da kuma sauye-sauyen yanayi.

Tsarin gwajin baya ya ƙunshi sake kunnawa trades wanda zai faru a baya ta amfani da ƙa'idodin da dabarun LRC suka ayyana. Wannan tafiya ta tarihi zai iya nuna tsarin tsarin martani ga matsananciyar kasuwa, kamar labaran da ba a zata ba ko fitar da tattalin arziki. Traders iya tantance dabarun ta raguwa da kuma riba, daidaita sigogi don inganta aiki da rage haɗari.

Ma'aunin ƙididdiga samu daga backtesting, kamar Rabin Sharpe, ƙimar nasara, da matsakaicin raguwa, sanarwa traders game da dabarun da ake tsammanin aikin. Waɗannan ma'auni suna ba da damar kwatanta dabarun LRC da sauran tsarin ciniki ko ma'auni. Tsare-tsare hanya don yin gwajin baya shima yana buɗewa mita da kuma tsawon lokaci na cin nasara da rashin nasara, mai mahimmanci don shirye-shiryen tunani da rarraba jari.

kunsawa zamewa da farashin ciniki cikin ƙirar baya yana da mahimmanci ga gaskiya. Rashin waɗannan abubuwan na iya haifar da ƙima na yiwuwar dawowa. Ta hanyar hada su, traders sun sami ƙarin ingantattun kwatancen ribar net da tasirin injiniyoyin kasuwa akan trade kisa.

Koma baya baya kuskure; Ayyukan da suka gabata ba koyaushe yana nuna sakamako na gaba ba. Duk da haka, yana aiki azaman kayan aiki mai mahimmanci wajen haɓaka dabarun. Ta hanyar bayyana yadda dabarun LRC zai yi aiki a tarihi, traders na iya yanke shawara mai fa'ida, daidaita tsarin su don daidaitawa tare da haƙƙin haƙƙinsu da manufofin ciniki.

5.3. Daidaita Dabarun zuwa Yanayin Kasuwa Daban-daban

Keɓance Dabarun Tashar Tafiyar Layi Na layi

In kasuwanni na gefe, Gidan Regression Channel (LRC) yakamata a daidaita shi don ganowa dabarun da ke da iyaka. Traders na iya mayar da hankali kan layin tsaka-tsaki a matsayin maƙalli mai mahimmanci, tare da trades qaddamar a lokacin da farashin kusanci wannan tsakiyar axis, da nufin samun kadan riba a cikin m farashin ƙungiyoyi. gyare-gyare ga LRC a irin waɗannan kasuwanni na iya haɗawa da rage lokacin duba baya don mafi kyawun kama mafi ƙarancin farashi.

Akasin haka, in kasuwanni masu karfi masu tasowa, aikin farko na LRC yana canzawa zuwa ganowa ci gaba trends da kuma lokacinta trades. Tsawaita lokacin kallon baya na iya taimakawa wajen sassaukar rashin daidaituwa na ɗan gajeren lokaci da kuma ba da ƙarin haske game da jagora da ƙarfin yanayin. Anan, iyakoki na waje sun zama masu mahimmanci, suna aiki azaman yankuna masu yuwuwar ci gaba da shigarwar yanayi ko fitar da yanayin gajiya.

Kasuwannin abubuwan da suka faru, wanda aka kwatanta da labarai ko bayanan tattalin arziki, suna buƙatar ingantaccen tsarin kula da LRC. Saurin sake daidaita tashar na iya zama dole bayan taron don yin daidai daidai da sabon yanayin farashin. A cikin irin waɗannan yanayi, ana iya wadatar da ƙarfin tsinkayar tashar ta hanyar jujjuya lokutan abubuwan da suka faru, don haka daidaita dabarun ciniki tare da martanin kasuwa da ake tsammani.

Traders na iya kula da dabarun dabara ta hanyar daidaita LRC zuwa yanayin kasuwa. Sassauci na LRC shine ƙarfinsa, yana ba da damar ci gaba da daidaitawa a cikin kasuwa wanda ba komai bane sai a tsaye.