Forex algorithmic mekhoa ea khoebo

Khoebo ea algorithmic, e tsejoang hape e le khoebo ea algo kapa khoebo e ikemetseng, ke mokhoa o tsoetseng pele oa ho etsa khoebo 'marakeng oa Forex. E kenyelletsa ts'ebeliso ea mananeo a khomphutha le li-algorithms ho sekaseka datha ea 'maraka, ho tseba menyetla ea khoebo, le ho etsa litaelo ka lebelo le ts'ebetso e makatsang. Mokhoa ona o tumme haholo har'a barekisi ba Forex ka bokhoni ba ona ba ho tlosa leeme la maikutlo le ho etsa liqeto tse arohaneng ho latela mekhoa e reriloeng esale pele.

Lefatšeng le potlakileng la khoebo ea lichelete, maano a algorithmic e se e le lisebelisoa tsa bohlokoa bakeng sa barekisi ka bomong le ba mekhatlo. Bohlokoa ba maano ana bo boemong ba bona ba ho tsamaisa mathata a 'maraka oa Forex, o sebetsang lihora tse 24 ka letsatsi mme o susumetsoa ke mefuta e mengata e fapaneng, joalo ka lintlha tsa moruo, liketsahalo tsa geopolitical, le maikutlo a mmaraka.

Ho utloisisa khoebo ea algorithmic

Khoebo ea algorithmic, eo hangata e bitsoang khoebo ea algo, ke leano la khoebo le itšetlehileng ka li-algorithms tsa khomphutha ho phethahatsa letoto la litaelo tse boletsoeng esale pele ka bo eona. Li-algorithms tsena li etselitsoe ho sekaseka lintlha tse ngata tsa 'maraka, ho kenyeletsoa metsamao ea litheko, meqolo ea khoebo, le matšoao a fapaneng a tekheniki, ho etsa liqeto tse nepahetseng tsa khoebo. Boemong ba 'maraka oa Forex, khoebo ea algorithmic e kenyelletsa tšebeliso ea li-algorithms tsena ho reka kapa ho rekisa lipara tsa lichelete ka litheko le linako tse nepahetseng.

Khopolo ea khoebo ea algorithmic e qalile lilemong tsa pele tsa 1970 ha mekhoa ea khoebo ea elektronike e qala ho hlaha. Leha ho le joalo, e ne e le lilemong tsa bo-1990 moo khoebo ea algorithmic e ileng ea fumana ts'ebetso e kholo 'marakeng oa Forex. Ka ho fihla ha marang-rang a lebelo le phahameng le theknoloji e tsoetseng pele ea k'homphieutha, bahoebi le mekhatlo ea lichelete ba ile ba qala ho etsa mekhoa e rarahaneng ea ho fumana maemo a tlhōlisano.

Kajeno, khoebo ea algorithmic 'marakeng oa Forex e fetohile haholo. E fetohile karolo ea bohlokoa ea 'maraka oa lichelete, e laolang mekhoa ea khoebo.

Likarolo tsa bohlokoa tsa khoebo ea algorithmic

Bohareng ba khoebo ea algorithm ke tlhahlobo e hlokolosi le pokello ea lintlha. Bahoebi ba sebelisa lintlha tsa histori le tsa nako ea sebele tsa 'maraka, ho kenyelletsa le ho sisinyeha ha litheko, lipalo tsa khoebo, matšoao a moruo le litaba, ho etsa liqeto tse nepahetseng. Boleng le granularity ea data e ama haholo katleho ea li-algorithms tsa khoebo. Tlhahlobo ea data ha e khetholle feela mekhoa le mekhoa empa hape e fana ka motheo oa ho hlahisa matšoao a khoebo.

Lipontšo tsa khoebo le matšoao ke litšiea tsa mohaho oa mekhoa ea khoebo ea algorithmic. Tsena ke liforomo tsa lipalo kapa li-algorithms tse sebetsanang le data le ho hlahisa matšoao a khethehileng a ho reka kapa ho rekisa. Matšoao a tloaelehileng a kenyelletsa karolelano ea ho sisinyeha, index ea matla a lekanyelitsoeng (RSI), le li-oscillator tsa stochastic, har'a tse ling. Bahoebi ba ka kopanya matšoao a mangata ho etsa lipontšo tse rarahaneng, ho lumella li-algorithms ho arabela maemo a sa tšoaneng a 'maraka.

Taolo e sebetsang ea likotsi ke ea bohlokoa khoebong ea algorithmic. Bahoebi ba tlameha ho etsa qeto ea boholo ba boemo bo nepahetseng bakeng sa khoebo ka 'ngoe le ho theha meeli ea kotsi ho sireletsa chelete. Li-algorithms li ka kenyelletsa melao ea taolo ea likotsi, joalo ka ho beha litaelo tsa tahlehelo ea ho emisa le ho nka phaello, ho fokotsa tahlehelo e ka bang teng le ho eketsa phaello. Position sizeng algorithms e thusa ho etsa bonnete ba hore khoebo e ikamahanya le mamello ea kotsi ea mohoebi le leano le akaretsang la potefolio.

Automation ke tšobotsi e hlalosang ea khoebo ea algorithmic. Hang ha algorithm ea khoebo e fumana letšoao la ho etsa khoebo, e beha taelo ka bo eona ntle le ho kenella ha motho. Lebelo le bohlokoa ts'ebetsong, kaha le tieho e nyane e ka baka menyetla e fetotsoeng kapa ho thella ho hoholo. Li-algorithms li etselitsoe ho sebelisana le sethala sa khoebo le barekisi ho phethahatsa litaelo ka potlako, ebang ke khoebong ea maqhubu a holimo kapa maano a nako e telele.

Ho hlahisa mekhoa ea khoebo ea algorithmic ea forex

Motheo oa khoebo e atlehileng ea algorithmic marakeng oa Forex o itšetlehile ka leano le hlalositsoeng hantle la khoebo. Leano lena le hlalosa melao le mekhahlelo e tataisang mokhoa oa ho etsa liqeto oa algorithm. Leano le hlalositsoeng ka ho hlaka le thusa bahoebi hore ba boloke boitšoaro, ba qobe liketso tse potlakileng, 'me ba khomarele moralo o reriloeng esale pele le ha ba tobane le ho fetoha ha 'maraka. Ke polane eo likarolo tse ling tsohle tsa khoebo ea algorithmic li hahiloeng holim'a eona.

Mehloli ea data e nepahetseng le e tšepahalang e bohlokoa bakeng sa ho etsa maano a sebetsang a khoebo. Bahoebi ba tlameha ho bokella lintlha tsa nalane ea 'maraka bakeng sa lipara tsa lichelete tseo ba lakatsang ho li rekisa. Lintlha tsena li sebelisetsoa tlhahlobo e tebileng, e lumellang li-algorithms ho khetholla mekhoa, mekhoa, le lintlha tse ka kenang le ho tsoa. Boleng ba data le khetho ea linako li ka ama ts'ebetso ea leano haholo.

Nts'etsopele ea algorithm e kenyelletsa ho fetolela leano la khoebo ho khoutu eo komporo e ka e phethang. Baetsi ba mananeo kapa barekisi ba tsebang lipuo tsa likhoutu tse kang MQL4 (bakeng sa MetaTrader) kapa Python ba ngola li-algorithms. Ho tlameha ho nahanoa ka hloko ho logic, melao, le maemo a laolang hore na algorithm e tla sebetsa joang. Khoutu e nepahetseng e netefatsa hore leano le phethisoa ka nepo le ka bokhabane.

Pele o kenya algorithm sebakeng sa khoebo se phelang, e lokela ho ts'oaroa ka matla. Backtesting e kenyelletsa ho tsamaisa algorithm ho data ea nalane ho lekola ts'ebetso ea eona. Nakong ena, barekisi ba ka hlophisa liparamente hantle, ba fetola melao ea taolo ea likotsi, 'me ba ntlafatsa leano la ho eketsa phaello le ho fokotsa tahlehelo e ka bang teng.

Hang ha algorithm e fetile mohato oa ho khutlela morao, e se e loketse tlhahlobo ea nako ea sebele sebakeng sa khoebo se etsisitsoeng. Sena se lumella bahoebi hore ba hlahlobe hore na algorithm e sebetsa joang tlas'a maemo a marakeng a phelang ntle le ho beha chelete ea sebele kotsing. Hang ha algorithm e lula e bonts'a phaello le ts'epahalo, e ka romelloa 'marakeng oa Forex o phelang.

Mekhoa e tloaelehileng ea khoebo ea forex algorithmic

Khoebo ea algorithmic e fana ka maano a mangata a ho tsamaisa mathata a 'maraka oa Forex. Leano le leng le le leng le etselitsoe ho sebelisa maemo le mekhoa e itseng ea mmaraka. Mona ke tse ling tsa maano a tloaelehileng a khoebo a algorithmic ea Forex:

Leano le tloaelehileng la crossover: Leano lena le kenyelletsa tšebeliso ea mekhahlelo e 'meli e tsamaeang, hangata ea nako e khuts'oane le ea nako e telele. Ha karolelano ea nako e khutšoanyane ea ho falla e feta ka holim'a karolelano ea nako e telele e tsamaeang, e hlahisa pontšo ea ho reka, 'me ha e tšela ka tlaase, e hlahisa letšoao la thekiso. Leano lena le ikemiselitse ho ts'oara liphetoho tsa mekhoa le ho sebelisa matla.

Leano la lihlopha tsa Bollinger: Lihlopha tsa Bollinger li na le sehlopha se bohareng (karolelano e bonolo e tsamaeang) le lihlopha tse peli tse ka ntle tse khelohileng ka holimo le ka tlase ho sehlopha se bohareng. Bahoebi ba sebelisa Bollinger Bands ho khetholla linako tse fokolang tse fokolang (lihlopha tsa konteraka) le ho fetoha ha maemo ho phahameng (ho atolosa lihlopha) ho etsa liqeto tsa khoebo, tse kang ho reka nakong ea ho fokotseha ho tlaase le ho rekisa nakong ea maemo a phahameng.

Leano la Relative strength index (RSI): RSI e lekanya lebelo le phetoho ea metsamao ea litheko, e thusa barekisi ho tseba maemo a rekoang haholo le a rekisoang ho feta tekano. Leano le tloaelehileng la RSI le kenyelletsa ho reka ha RSI e le ka tlase ho moeli o itseng (e bontšang ho rekisoa ha chelete e ngata) le ho rekisa ha e le ka holimo ho moeli (e bontšang ho reka ho feta tekano).

Leano la ho khutlisa Fibonacci: Leano lena le itšetlehile ka maemo a ho khutlisetsa Fibonacci, a sebelisetsoang ho khetholla maemo a ka 'nang a e-ba teng a tšehetso le ho hanyetsa ho latela lipalo tsa lipalo. Bahoebi ba batla liphetoho tsa theko kapa matšoao a tsoelo-pele haufi le maemo ana.

Mekhoa ea ho qhekella le e tloaelehileng e latelang: Maano ana a ikemiselitse ho thusa ho tsoelapele ha mekhoa e teng kapa ho hlaha ha mekhoa e mecha. Bahoebi ba khetholla maemo a bohlokoa a ts'ehetso le ho hanyetsa 'me ba kenya maemo ha theko e phunyeletsoa maemong ana, e bontšang phetoho e ka bang teng kapa ho tsoela pele.

Ho bolela leano la ho khutlisa: Merero ea ho khutlisa e bolela hore litheko tsa thepa li atisa ho khutlela mekhoeng ea tsona ea khale kapa karolelano ea nako. Bahoebi ba batla ho kheloha ho tloha ho sena ho bolela le ho kenya maemo ha ba lebeletse ho khutlela ho karolelano.

Maano a ho beha leihlo le ho lokisa hantle

Limmaraka li matla, 'me se sebetsang kajeno se kanna sa se sebetse hosane. Bahoebi ba tlameha ho ela hloko li-algorithms tsa bona ho netefatsa hore ba sebetsa kamoo ho lebelletsoeng. Tlhokomelo e tsoelang pele e lumella barekisi ho tseba mathata a ka bang teng, ho nka menyetla e mecha, le ho etsa liphetoho tse hlokahalang hang-hang.

Esita le maqheka a algorithmic a entsoeng ka hloko ka ho fetisisa a ka kopana le liphoso. Liphoso tsena e kanna ea ba ka lebaka la ho se lumellane ha data, liphoso tsa likhoutu, kapa maemo a 'maraka a sa lebelloang. Ho beha leihlo ho thusa barekisi ho lemoha liphoso tsena kapele le ho kenya tšebetsong mehato ea ho lokisa ho thibela tahlehelo. Liphoso tse tloaelehileng li kenyelletsa ho hloleha ha odara, boholo bo fosahetseng ba boemo, le litšitiso tsa phepelo ea data.

Maemo a 'maraka a ka fetoha ka potlako ka lebaka la liketsahalo tsa moruo, tsoelo-pele ea lipolotiki, kapa ho fetoha ha maikutlo. Mekhoa ea khoebo ea algorithm e kileng ea atleha e ka 'na ea se ke ea sebetsa hantle libakeng tse ncha tsa' maraka. Bahoebi ba lokela ho lula ba ikamahanya le maemo, ba lula ba hlahloba hore na maqheka a bona a lumellana le boemo ba hona joale ba 'maraka. Ho ikamahanya le maemo ho ka kenyelletsa ho fetola liparamente, ho ntlafatsa li-algorithms, kapa esita le ho theha maano a macha ka ho felletseng.

Mekhoa ea ho lokisa hantle ke ts'ebetso e tsoelang pele ea ho ntlafatsa ts'ebetso. Bahoebi ba ka ntlafatsa li-algorithms ka ho fetola mefuta-futa, li-parameter tsa taolo ea kotsi, kapa linako tsa khoebo. Ho etsa tlhahlobo ea morao-rao le tlhahlobo ea nako ea nnete ke lisebelisoa tsa bohlokoa bakeng sa tokiso e ntle, kaha li fana ka leseli la bohlokoa mabapi le hore na liphetoho li ama joang nalane le ts'ebetso e etsahalang.

Mathata le likotsi tsa khoebo ea algorithmic

Khoebo ea algorithm e itšetlehile haholo ka data e nepahetseng le e nakong. Boleng bo bobe ba data kapa tieho ea phepelo ea data e ka lebisa liqetong tse tlase tsa khoebo le tahlehelo e ka bang teng. Bahoebi ba tlameha ho netefatsa hore ba na le phihlello ea mehloli ea data ea boleng bo holimo le lisebelisoa tse tšepahalang ho fokotsa mathata a amanang le data.

Overfitting e etsahala ha algorithm e ipapisitse le data ea nalane, e ts'oara lerata ho fapana le lipaterone tsa 'nete. Curve-fitting ke kotsi e amanang le eona, moo leano le rarahaneng ho feta tekano 'me le lokisoa hantle ho latela ts'ebetso ea nako e fetileng, e lebisang ho sephetho se fosahetseng maemong a nnete a mmaraka. Bahoebi ba tlameha ho leka-lekanya pakeng tsa ts'ebetso ea histori le ho ikamahanya le maemo ho qoba maraba ana.

Khoebo ea algorithmic ha e sireletsehe ho thetso ea mmaraka kapa liketsahalo tse sa lebelloang. Bahoebi ba lokela ho falimehela liketso tsa bomenemene, tse kang merero ea ho ntša metsi le ho lahla, ’me ba itokisetse liketsahalo tsa li-black swan—e leng liketsahalo tse sa tloaelehang le tse feteletseng tse ka senyang limmaraka. Mekhoa ea ho laola likotsi, litaelo tsa ho emisa, le ho beha leihlo ka nako ea sebele li ka thusa ho fokotsa likotsi tsena.

Khoebo ea algorithm e tlas'a taolo ea taolo libakeng tse ngata, 'me ho bohlokoa ho latela melao le melaoana ea khoebo. Matšoenyeho a boitšoaro, joalo ka phello ea khoebo ea maqhubu a phahameng ka botsitso ba 'maraka, le ona a phetha karolo. Bahoebi ba tlameha ho sebetsa ka har'a meralo ea molao le ho nahana ka litlamorao tse batsi tsa boitšoaro ba mesebetsi ea bona ea khoebo.

fihlela qeto e

Ho theha maano a sebetsang a algorithmic a khoebo ho kenyelletsa mokhoa o hlophisehileng, ho kenyelletsa tlhahlobo ea data, coding, backtesting, le tlhahlobo ea nako ea nnete. Mekhoa e fapaneng, ho tloha ho li-crossovers tse tsamaeang ka karolelano ho bolela ho khutlela morao, e bonts'a mefuta e fapaneng ea likhetho tse fumanehang ho barekisi.

Ho akaretsa, maano a khoebo a algorithmic a ka thusa barekisi ho tsamaea ka nepo le ka nepo 'marakeng o rarahaneng oa Forex. Leha ho le joalo, bahoebi ba lokela ho atamela sebaka sena ka hloko, ba ntse ba ithuta le ho ikamahanya le maemo a fetohang a khoebo ea Forex. Ka ho etsa joalo, ba ka sebelisa matla a li-algorithms ho matlafatsa katleho ea bona ea khoebo.