Sɛnea wɔde moving averages bedi dwuma na wɔde asi hɔ wɔ aguadi mu

Wɔ mfiridwuma mu nhwehwɛmu aguadi mu nkɔso mu no, nnwinnade pii aba. Nanso wɔ nsɛnkyerɛnne a ɛyɛ mmerɛw, mfaso wɔ so, ahobammɔ wom na ɛtaa ba wɔ aguadi mu no mu no, wɔda nsow a ɛkɔ so no mu. Nea edidi so yi kyerɛkyerɛ wɔn hia a ehia wɔ aguadi mu ne nneɛma a ɛwɔ mu a wɔde moving average ahorow di dwuma wɔ aguadi ho nhyehyɛe mu.

Dɛn ne moving averages wɔ aguadi mu

Moving Average, anaa sɛnea wɔsan frɛ no no, Moving Average (MA) yɛ aguadi ho sɛnkyerɛnne a edi bo a ɛkɔ so no akyi. N’atirimpɔw ne sɛ ɛbɛkyerɛ ɔkwan a ɛrekɔ so no ne sɛnea ebetumi aba sɛ ɛbɛma ayɛ mmerɛw. Sɛ abenfo rebu akontaa a, wɔpaw sɛ wɔbɛkyekyem adwinnade pɔtee bi bo wɔ bere pɔtee bi mu.
Bere no ne ade titiriw a ɛkyerɛ sɛnea nneɛma a ɛrekɔ so no kyerɛ, ahorow no mu biako. Sɛnea indicator line no yɛ mmerɛw no gyina ne bo so. Mmere nketenkete fata kɛse wɔ bere a ɛba fam mu. Wɔma aguadifo a onni osuahu mpo tumi yɛ ade ntɛm wɔ nneɛma bo a ɛkɔ soro no ho.

Nanso, wɔmfa nsɛnkyerɛnne a ɛnyɛ nokware (ɛtɔ mmere bi a ɛdɔɔso) no mfi mu.

Sɛ wɔde bere tenten a ɛboro so di dwuma a, ɛho hia sɛ wuhu sɛ ebetumi akyɛ kɛse. Esiane saa ntease koro no ara nti, nhyehyɛe no bɛda abakɔsɛm a ne bere atwam adi. Wɔtaa de bere akɛse di dwuma de boa wɔn bere tenten anaasɛ wɔsɔre tia.

Moving Average ahorow atitiriw ne wɔn nkyerɛkyerɛmu

MA kyerɛwtohɔ ahorow 4 titiriw na ɛwɔ hɔ. Wɔ mfiridwuma nhwehwɛmu a ɛfa sikasɛm mu gua no ho no mu no, wɔde nsusuwii a ɛyɛ mmerɛw, a ɛyɛ nwonwa, a ɛyɛ mmerɛw na ɛyɛ linearly weighted moving average di dwuma.
Wɔhyɛ nyansa sɛ wubehu wɔn atirimpɔw no yiye:

1. Simple Moving Average yɛ adwinnade a wɔapaw no bo a wɔde wie no nyinaa bom, a egyina hɔ ma mmere ahorow pii. Bio nso, wɔde mmere yi dodow na ɛkyekyɛ saa sɛnkyerɛnnede yi mu. Ɛnyɛ nea ɛbae ara kwa sɛ wɔfrɛɛ sɛnkyerɛnnede no sɛ ɛyɛ mmerɛw, ɛnyɛ den sɛ wɔde bedi dwuma na wobu no sɛ ɛyɛ mfitiasede.
2. Exponential Moving Average – wo saa tebea yi mu no, wode bo ankasa a wode to mu no fã bi ka bo a woadi kan a ewo moving average no ho.
3. Linear Weighted Moving Average no ne abusua no ho sɛnkyerɛnne a ɛyɛ nnam sen biara. Saa su yi betumi ama atoro nsɛnkyerɛnne dodow bi aba, nanso ɛyɛ ntɛm sen afoforo sɛ wobehu nsakrae a aba wɔ bo mu. Aguadifo ntaa mfa saa sɛnkyerɛnnede yi nni dwuma.
4. Smoothed Moving Average no ne nea ɛyɛ mmerɛw sen biara wɔ afoforo no mu. SMMA de akontabuo kwan a ɛnte sɛ SMA no, ɛsan nso susuw gyinapɛn ahorow a ne bere atwam ho ma. Sɛnea ɛte no, wɔ nneyɛe mu no, wɔntaa mfa smoothed moving average no nni dwuma.

Exponential moving average – sɛnea wɔhyehyɛ ne sɛnea wɔde di dwuma wɔ adeyɛ mu: https://youtu.be/3-4CwYfphXc

Practical application – algorithm sɛnea wɔde moving average di dwuma

Moving average no yɛ trend indicator, wɔ eyi mu no, aguadi akwan horow a egyina so no fata yiye. Akwan atitiriw 3 na ɛwɔ hɔ a wɔfa so de nsɛnkyerɛnne di dwuma:

1. Akwankyerɛ a ɛkɔ akyiri . Egyina hɔ ma nneɛma a ɛrekɔ so ankasa no ho gyinaesi ahorow. Ebetumi ayɛ bere tiaa, mfinimfini anaa bere tenten. Wɔ saa tebea yi mu no, wɔde MA kyerɛ soro wɔ uptrend mu, na ɛkɔ fam wɔ downtrend mu. Mode foforo bi wo ho – flat, bere a moving average no ye horizontal.

2. Nkyekyɛm ahorow a ɛkɔ so no a wɔde bere ahorow twam . Nsɛnkyerɛnne no gyinabea gyina MA a ɛwɔ bere ketewaa bi no so bere nyinaa. Sɛ ɛwɔ hɔ a ɛtwa kwan a edi hɔ no (efi ase kɔ soro) a, ɛnde sɛnkyerɛnne bi a ɛkyerɛ sɛ wobenya agyapade bi. Sɛ ɛnte saa a, ɛyɛ adetɔn ho sɛnkyerɛnne.
3. Mmoa ne ɔsɔretia . Ntrɛwmu no yɛ sɛnkyerɛnne bi a ɛkyerɛ baabi a ntwamu no ankasa kɔ. Agyapade pɔtee bi ho sɛnkyerɛnne no yɛ soronko koraa. Wɔkamfo kyerɛ sɛ wobɛkae eyi.

Nneɛma bi a ɛrekɔ so ho gyinaesi denam tu a wotu kɔtra baabi foforo so

Moving average no kyerɛ ɔkwan a su no rekɔ so. Sɛ ɛba sɛ bo kyerɛwtohɔ no wɔ line no atifi, a wɔdannan no kɔ soro a, ɛnde na su no kɔ soro. Sɛ 3 moving averages dan kɔ parallel lines na “hwɛ” wɔ ɔkwan pɔtee bi so a, ɛnde eyi ne sɛnkyerɛnne a emu yɛ den sen biara. Bere koro no ara mu no, ɛsɛ sɛ ɛsono bere a wɔde di dwuma. Sɛ bo no kɔ baabi pɔtee bi wɔ gua so (ɛnyɛ ɔkwan biako so) a, ɛnde ebetumi aba sɛ nsɛnkyerɛnne dodow bi bɛka ho.

a ɛkɔ so yɛ crossover

Sɛ sɛ wɔkyekyem pɛpɛɛpɛ a, nea ɛkɔ ntɛmntɛm no twa nea ɛyɛ brɛoo no ho, fi ase kɔ soro a, ɛda adi sɛ sɛnkyerɛnne a emu yɛ den yiye bɛtɔ (Tɔ) no. Sɛ wɔdan tebea no (efi soro kosi ase) a, ɛnde eyi yɛ sɛnkyerɛnne a ɛkyerɛ sɛ wɔbɛtɔn (Tɔn). Nanso sɛ biribiara nni hɔ a atirimpɔw wom wɔ sikasɛm mu gua no mu a, ɛnde nsɛnkyerɛnne hunu pii wɔ hɔ a ɛremfa mfaso a wɔhwɛ kwan no mma.

Nneɛma a wɔde gyina ano ne mmoa dodow a wɔbɛkyerɛ

Wɔ saa gyinabea ahorow yi a wɔhyehyɛ no mu no, bo no betumi atwe ne ho afi nea ɛkɔ so no ho. Eyi si kɛse wɔ exponential moving average a ɛwɔ bere a ɛho hia no mu. Saa bere yi de, ɛyɛ mfaso kɛse sɛ wobɛhyɛn gyinabea bi mu.

Nkyekyɛm abiɛsa a ɛkɔ so no ne wɔn ho wɔn ho di nsɛ

Mpɛn pii no, ɛkame ayɛ sɛ wosisi wɔn ne wɔn ho wɔn ho di nsɛ. Eyi yɛ hokwan pa ara a wode bɛhyɛn ade bi a ɛrekɔ soro no mu. Sɛ wɔayɛ adeyɛ a ɛwɔ mfiase pɛɛ no ​​ho mfonini wɔ nhyehyɛe no so a, ɛnde wɔ aguadifo kasa a ɛwɔ tebea mu no mu no, wobetumi aka ho asɛm sɛ “ɔkraman ano a wɔabue”.

Nsusuwii ahorow a wɔde bu akontaa a ɛfa nkyekyem ahorow a ɛkɔ so no biara ho

Esiane sɛ woahu moving average ahorow biara wɔ aguadi mu nti, wɔkamfo kyerɛ sɛ wonsua wɔn akontaabu nhyehyɛe ahorow no.

SMA Nhyehyɛe

Sɛnea ɛbɛyɛ a wubehu nea ɛkyerɛ sɛ ɛyɛ mmerɛw sɛ wobɛkɔ so ayɛ adwuma no, ɛdɔɔso sɛ wode nsusuwii a edidi so yi bedi dwuma:
SMA \u003d SUM (CLOSE (i), N) / N
Nkyerɛkyerɛmu:

• SUM ne nsɛm a wɔka bom;
• CLOSE (i) kyerɛ bere a wɔde ama no bo;
• N yɛ mmere dodow a wɔde di dwuma.

Wɔayɛ SMA sɛ ɛbɛkari pɛ wɔ nneɛma bo a ɛwɔ bere pɔtee bi mu no mu. Wɔde gravity pɔtee a ɛwɔ bo biara a edi hɔ no si saa ara. Sɛ ɛba sɛ nneɛma bo a ɛkɔ soro a wotumi hu ba a, SMA besusuw ho aka bo a ɛkɔ so wɔ gyinapɛn no ho.

EMA Nkontaabu Nhyehyɛe

Sɛ wopɛ sɛ wobu nkyerɛkyerɛmu a ɛkɔ so no ho akontaa a, ɛsɛ sɛ wokyerɛw nsusuwii no sɛnea edidi so yi:
EMA = (KƆ (i) * P) + (EMA (i – 1) * (100 – P))
Nkyerɛkyerɛmu:

• CLOSE (i) – bo a ɛkyerɛ bere a wɔde ama no;
• EMA (i – 1) – EMA dodow a ewo bere a atwam no mu;
• P yɛ bo a ɛsom no fã pɔtee bi.

EMA ne moving average a wɔtaa de di dwuma kɛse wɔ aguadi mu. Ɛdenam ne mmoa so no, wobetumi ayi SMA sintɔ ahorow no afi hɔ. Wɔ eyi mu no, ɛbɛda adi sɛ wobehu gua so tebea pɔtee wɔ bere pɔtee bi mu. Na nso DEMA kyerɛwtohɔ – EMA mmɔho abien: https://articles.opexflow.com/analysis-akwan-ne-nnwinnade/indikator-dema.htm

SMMA Nkontaabu Nhyehyɛe

Sɛ wopɛ sɛ wobu akontaa sɛnea ɛkɔ so yɛ mmerɛw no a, wubetumi de nsusuwii a edidi so yi adi dwuma:
SMMA (i) = (SMMA (i – 1) * (N – 1) + CLOSE (i)) / N
Nkyerɛkyerɛmu:

• SMMA (i – 1) – a ekyerekyere kyɛnere a atwam no;
• CLOSE (i) – mprempren bo a wɔde to mu;
• N yɛ dodow a ɛwɔ bere a ɛma ɛyɛ mmerɛw no mu.

LWMA Nkontaabu Nhyehyɛe

Sɛ worebu linearly weighted moving average ho akontaa a, ɛsɛ sɛ wode nsusuwii a edidi so yi kyerɛ wo kwan:
LWMA = SUM (CLOSE (i) * i, N) / SUM (i, N)
Nkyerɛkyerɛmu:

• SUM – a woagye atom;
• CLOSE(i) – bo ankasa a wɔde bɛto mu;
• SUM (i, N) yɛ nsusuwii ahorow no nyinaa a wɔaka abom.
• N ne bere a wɔde kyerɛ.

Esiane linearly weighted and smoothed moving averages nti, wobetumi akyerɛ mpo sɛnea nneɛma bo ho hia wɔ akontaabu bere pɔtee bi mu.

Nneɛma a ɛwɔ bere a wɔde besisi hɔ ho

Wobetumi asiesie indicator parameters sɛnea nea ɔde di dwuma no pɛ. Obetumi de bere a ɛfata asi hɔ. Dodow a ɛyɛ ketewaa no, dodow no ara na moving average no yɛ nea ɛyɛ mmerɛw na ɛyɛ pɛpɛɛpɛ wɔ sɛnkyerɛnne ahorow mu. Ɛmfa ho nsusuwii ahorow no, bere ntamgyinafo “a ɛteɛ” biara nni hɔ. Sɛ wobɛhyehyɛ bere a eye sen biara a, ɛsɛ sɛ nea ɔde di dwuma no sɔ hwɛ kakra. Ne saa nti, ɔbɛte bere a eye sen biara ma no no ase, sɛnea n’ankasa nhyehyɛe kyerɛ no. Moving Averages wɔ TradingView mu:

Moving averages ma ti nhwi a wɔde yɛ ti nhwi

Wobu “Scalping” sɛ ɛyɛ kasafĩ asɛmfua wɔ aguadi mu. Nea wɔfrɛ no bere tiaa mu aguadi ho akwan horow. Moving averages wɔ scalping mu no yɛ soronko denam nnwuma dodow bi a wɔde di dwuma no so. Saa kwan yi fata ma wɔn a wonni wiase nyinaa botae ahorow akyi wɔ mfaso ho no. Wɔ scalping aguadi mu no, wɔtaa de charts a bere nhyehyɛe nketenkete wom di dwuma. Saa kwan yi akyɛ sɛnea ɛsɛ a abu so, wɔ nnansa yi mmere mu. Na eyi fi margin trading a wɔde dii dwuma no. Saa kwan yi tu mpɔn yiye na ebetumi de sikasɛm mu aba pa aba. Scalping yɛ mmerɛw ma aguadifo a wɔde sika nketenkete gu mu na wogyina bere tiaa mu biakoyɛ so. Nanso eyi nkyerɛ sɛ ɔkwan a wɔfa so yɛ no yɛ mmerɛw na enhia ahoɔden pii. Ɛsɛ sɛ nea ɔde di dwuma no de bere pii di dwuma na ama wanya sika pii. Ɛho hia sɛ wohwɛ da no mu sikasɛm gua no daa sɛnea ɛbɛyɛ a wubenya aguadi ho sɛnkyerɛnne, ne afei nso wobɛboa nkitahodi a wɔabue ano. Esiane sɛ wɔde ti nhwi ayɛ no nti, aguadifo betumi atwetwe sika pa. Ade titiriw ne sɛ wobɛsɔ aguadi nhyehyɛe no ahwɛ wɔ nneyɛe mu, ɛnsɛ sɛ wosuro sɔhwɛ ahorow, de bere a ɛdɔɔso ayɛ nnwuma na wɔayɛ no wɔ nhyehyɛe kwan so. Ɔkwan a wɔfa so yɛ ade – QUIK aguadi gyinabea: https://youtu.be/ZOUMHFmpruk

Nneɛma a ɛwɔ aguadi mu wɔ moving averages so, a nhwɛso ahorow ka ho

Aguadi akwan pii wɔ hɔ a wɔde moving averages di dwuma. Wɔn mu no, ɛfata sɛ yɛtwe adwene si nsakrae atitiriw 4 so ma aguadi:

1. MA a ɛtwa no sɛnea ne bo te;
2. nkyekyem a ɛkɔ so 2 anaa nea ɛboro saa a wɔpaapae mu;
3. atoro a wɔde twa MA;
4. san kɔ sɛ wɔkyekyem pɛpɛɛpɛ a.

Ɛtɔ mmere bi a, wɔyɛ nsɛnkyerɛnne ahorow bi ne afoforo a wɔaka abom. Wɔahyɛ nyansa sɛ wonsusuw nsɛm no mu biara ho kɔ akyiri. SMA no a wɔbɛtwam denam bo no so no, wobu no sɛ ɛyɛ ɔkwan a ɛyɛ mmerɛw sen biara a obiara a ɔde di dwuma no betumi de adi dwuma, a wɔn nimdeɛ dodow a wɔwɔ wɔ sika a wɔde bɛto mu no mfa ho. Ɛdefa Forex gua no ho no, ɔkwan a ɛte saa no rentumi nyɛ adwuma yiye. Sɛ SMA no twa fi ase kɔ soro a, ɛbɛyɛ yie sɛ wobɛhyɛn gyinabea tenten bi mu, anyɛ saa a (firi soro kɔ fam), wɔbɛkyerɛw tiawa bi. Sɛ wubefi aguadi no mu a, ɛsɛ sɛ wotwɛn ma breakout a edi hɔ no.
Breakout of 2 anaa nea ɛboro saa moving averages nso yɛ ɔkwan a ɛyɛ mmerɛw. Nanso ɛnyɛ nea etu mpɔn titiriw. Ɛba saa: EMA (1) bubu EMA (2) fi soro kosi ase. Ɛdenam nsɛdi a ɛne eyi bɔ abira so no, wobetumi ahyɛ mu tiawa. Enti, sɛ nhyiam no fi ase kɔ soro a, ɛnde wɔbɛyɛ hyɛn tenten bi. Wɔ breakout a edi hɔ no mu no, wofi aguadi no mu.
Wɔsan frɛ MA atoro crossover no sɛ “atoro breakout strategy”. Ɛda adi bere a wɔatwa EMA no akyi. Bere bi akyi (ade titiriw ne sɛ wobɛtwɛn no), bo no bɛsan aba. Sɛ eyi ba ara pɛ a, wubetumi akɔ asɛm no mu dwoodwoo. Enti, ɛsɛ sɛ wɔyɛ kwan a wɔfa so fi mu no bere a wɔatwa EMA no a edi hɔ no akyi.
San kɔ average no yɛ atypical a wɔde di dwuma wɔ moving average adwinnade mu wɔ aguadi mu no mu biako. Aguadi gyina sanba a wɔsan kɔ sɛnea wɔkyekyem pɛpɛɛpɛ no so. Ɛne sɛ, ɛho hia sɛ wɔyɛ entry a ɛne nea ɛrekɔ so no bɔ abira (eyi ho hia). Wɔ saa bere yi mu no, bo no bɛkɔ akyirikyiri afi exponential moving average no ho. Ɛsɛ sɛ wufi adi bere a woatumi adu EMA bo kyerɛwtohɔ (21) no ho no. Ɛwom sɛ, sɛ woyɛ no nsɛntitiriw 3-4 ntɛm a, nsakrae no renyɛ nea ɛho hia.
Sɛnea Aguadifo De Moving Average Di Dwuma wɔ Aguadi mu – Algorithms ne Strategy: https://youtu.be/WrtMA-SLw9g

Bere a wɔpaw no yiye ma aguadi wɔ ɔkwan a ɛkɔ so no so

Debut aguadifo taa ani gye sɛnea eye sen biara a wɔbɛpaw bere bi a wɔde di gua no ho. Nokwarem no, biribiara nni hɔ a ɛyɛ den, ade titiriw ne sɛ yɛbɛte nokware ahorow a ɛnyɛ den ase. Sɛ nhwɛso no, bere a wɔde tu kwan no yɛ kyɛnere dodow a ɛwɔ bere nhyehyɛe no so. Bere a wɔde di dwuma no gyina bere tenten a nea ɔde di dwuma no betumi akura aguadi no so kɛse. Sɛ nhwɛso no, ɔyɛɛ nhyehyɛe sɛ ɔbɛma apam no akɔ so bɛyɛ dɔnhwerew 1. Sɛ ɛba saa a, sɛnkyerɛnne (12) a ɛwɔ simma 5 nhyehyɛe no so no bɛyɛ adwuma. Ɛda adi sɛ sɛ wɔkyekyem pɛpɛɛpɛ a, eyinom yɛ nneɛma bo a wɔbɔ dɔnhwerew 1. Wubetumi ayɛ w’ade wɔ ɔkwan soronko so kakra. Fa no sɛ ɔpɛ wɔ hɔ sɛ wobɛkura dibea bi adapɛn 1-2. Wɔ eyi mu no, nea ɛsen bere biara no, EMA (7) ne (14) a ɛwɔ D1 so no bɛyɛ yiye. Nanso, esiane nokwasɛm a ɛyɛ sɛ adwuma nna 5 pɛ na ɛwɔ dapɛn biako mu (esiane sɛ wonsusuw dapɛn awiei ho nti), ntease wom kɛse sɛ wobɛfa EMA (5) ne (10).

Gyinabea a ɛkɔ so wɔ stock gua so

Akyinnye biara nni ho sɛ baabi wɔ hɔ a wobetumi atrɛw mu wɔ ha. Esiane sɛ moving averages ho hia kɛse wɔ stock gua so nti, ɛfata sɛ yɛte asɛm yi ase yiye. Nea enti a ɛte saa ne nsonsonoe a ɛda Forex gua ne nnwinnade a wɔde sesa nneɛma a wɔtaa de di dwuma no ntam. Sɛ wo kɔ akyiri wɔ nsɛm no mu a, ɛbɛda adi pefee sɛ wɔ Forex so no ratio a ɛwɔ aman abien a ɛsono emu biara sikasɛm mu no betumi ayɛ nea wontumi nhu nea ɛbɛba daakye. Tebea no sesa daa. Enti, sika abien taa sesa wɔn kwan kɛse. Afei nso, su biara nni hɔ a ɛda adi pefee sɛ ɛbɛkɔ soro bere nyinaa, anaasɛ nea ɛne no bɔ abira no, ahwe ase kɛse. Ɛdefa sikakorabea ho no, sikakorabea ne indices a ɛrenya nkɔso no rekɔ soro pɛpɛɛpɛ na ɛreyɛ nea wotumi hyɛ ho nkɔm kɛse mpo. Nanso, wɔ ɔhaw bere mu no, nneɛma akɛse a ɛkeka ne ho ne ahuruhuruw wɔ hɔ a ɛyɛ den sɛ wobedi kan ahyɛ ho nkɔm. Enti, ɛbɛda adi sɛ ɛkame ayɛ sɛ sikakorabea no yɛ ahyɛnsode a ɛho tew, gye kakraa bi na ɛka ho. Eyi kyerɛ sɛ wubetumi anya sika pa ankasa wɔ moving averages so sɛ wubu saa dwumadi yi aniberesɛm a.
Index no kɔ soro bere nyinaa. Yebegyina eyi so aka sɛ saa kwan yi yɛ mmerɛw yiye sɛ wɔde bedi dwuma. Ɛdɔɔso sɛ wobɛtɔ ara kwa, bere a index no bɛn moving average no anaasɛ wɔatew so kakra no. Ɛno akyi no, ɛsɛ sɛ wode adwinnade no sie portfolio no mu kosi sɛ ɛbɛboro nea wɔtaa yɛ no so.
Sɛnea exponential moving average testing kyerɛ no, ɛfata sɛ wotɔ agyapade bi bere a ne bo yɛ den no. Sɛ wudi algorithm a ntease wom akyi a, eye sɛ wubefi aguadi bi mu bere a ne bo no sua no.
Wɔhyɛ nyansa sɛ wɔmfa wɔn adwene nsi nea efi yare no mu ba no so bere a wɔde EMA (200) redi dwuma no. Sɛnea wubetumi ahu no, sika a wɔtwe no sua bɛyɛ mpɛn abiɛsa. Nanso, wɔ ɔkwan ketewaa bi so no, ɛka sika a wonya. Ɛyɛ nea wotumi hu sɛ level no asesa kakra.
Ɔkwan a wobɛfa so apaw no reyɛ adwuma, nanso ɛnsɛ sɛ wususuw sɛ nkonimdi a ɛwɔ aguadi kwan a ɛte saa so no fa stocks, agyapade a ɛsom bo ne indices nyinaa ho. Ebi nso wɔ hɔ a ɛkɔ baabiara a wontumi nhu nea ɛbɛba daakye koraa. Ɛwom sɛ wɔyɛɛ nhwehwɛmu maa nsɛm a ɛtete saa de. Nsɛm a wɔafa aka no abakɔsɛm a wobɛhwehwɛ mu yiye nso bɛboa. Sɛ nhwɛso no, sɛ yɛfa Russia Ɔman no sikakorabea no a, ɛnde yebetumi ahu sɛ wɔ saa nokwasɛm ahorow yi mu no ɛyɛ den kɛse sɛ yɛde sika a ɛkɔ so yɛ adwuma no bɛyɛ adwuma.
Sika a wobenya wɔ Russia stock gua so no betumi anya wɔ sankɔhwɛ a ɛkɔ bo a wɔkyekyem pɛpɛɛpɛ no so. Eyi fi nokwasɛm a ɛyɛ sɛ wɔtaa de gua no si ɔkwan a ɛtrɛw so no. Ɛbɛyɛ sɛ sɛnea ɛte biara no, wɔ stock gua so no, wodu botae yi ho ntɛmntɛm na ɛyɛ mmerɛw sen Forex aguadi mu. Adeɛ titiriw ne sɛ wobɛyɛ adwumaden wɔ nnwinnadeɛ a ɛgyina pintinn a wɔbɛpaw no ho, sɛ ɛyɛ Amerikafoɔ indices, nnwuma akɛseɛ kyɛfa, nnwuma a agye din ho nkrataa a ɛsom boɔ, ne nea ɛkeka ho. Ansa na wode sika bɛto mu kwa no, eye sɛ wobɛbɔ mmɔden sɛ wode moving averages bedi dwuma, akyerɛ sika a wonya no ntease na woatew sika a wɔtwe no so. Eyi ne ɔkwan a wofa so nya nneɛma akɛse a efi mu ba.