Loss se bchna ha tOu lOt size minimum rkhen !!!

Re: Loss se bchna ha tOu lOt size minimum rkhen !!!

gee han bhai lose se bachna hai tu is main hume kam se kam lots size use krni hoti hai is main hume risk kam lena hota hai agr hum is main zada risl lein gey kam krein ge tu hume is main lose be ho sakta ha ur sara bona zaiya be ho sakta ha

ws salam my dear sir forex ma agr loss sy bacha ha too humy lot size 100 ya sath 0.001 or agr 200 ka ha to 0.002 or agr 300 ka ha to 0.003 ke lot size rakhni chaya sa sy apko kbhi loss nahi ho ga

ap jab be trade karain ap risk management sy karain. ap ka risk aik trade mai 5% sy zaida ka na ho. Ap jab apni trade main pehly analysis karain. analysis karain gy tu ap ko kam sy kam trend ka pata chal jata hai or jis waja sy ap ani trade ko sahi sy manage kar sakty hain.ap apni trade main risk level zaida na karain or risk management jab ap kar latiy hain tu phir ap ko koi issue nahi hota hai. Esleye ap trade jab be karain lot size kam be rahkain or sath mai ap leverage ko kam sy kam rahk kay es sy faida hasil kar sakty hain.

Aapke sawaal se mujhe yeh samajhna thoda mushkil ho raha hai ki aap kis chiz ke baare mein baat kar rahe hain. "Loss se bachna hai to lot size minimum rakhen" mujhe lagta hai ki aap stock market, investments ya trading ki baat kar rahe hain, lekin detail mein samajhne mein madad karein. Agar aap stock market mein invest kar rahe hain ya trading kar rahe hain, to "lot size" ek specific quantity hoti hai jisse aap buy ya sell kar sakte hain. Lekin isse related chizen market, stock aur strategy ke anusaar alag ho sakti hain. Agar aap "loss se bachna" chahte hain, to yeh kuch important points hain jo aapko madad kar sakte hain: Risk Management: Apne investment ko spread karein aur ek hi trade mein jyada paise na lagayein. Har trade mein kitna risk lena hai, iska ek plan banayein aur us plan ko follow karein. Lot Size: Agar aap beginner hain ya kam risk lena chahte hain, to kam lot size choose karna beneficial ho sakta hai. Lekin dhyan rakhein ki bahut chhota lot size bhi aapke profit ko limit kar sakta hai. Research and Analysis: Sahi research aur analysis ke bina investment na karein. Stock ya market ke baare mein puri jaankari prapt karein taki aapko pata ho ki kis stock mein invest karna sahi hoga. Stop Loss: Har trade mein stop loss set karna ek acchi practice hai. Yeh aapke loss ko control mein rakhta hai aur aapke predefined level par trade ko band kar deta hai. Diversification: Apne portfolio ko diversify karna important hai. Ek hi stock mein ya sector mein zyada invest na karein. Agar ek sector mein loss hua to dusre sector ke investments aapko balance karne mein madad karenge. Educate Yourself: Stock market aur trading ke baare mein seekhte rahein. Books, online courses, seminars, aur experts se guidance lekar apne knowledge ko enhance karein. Aapke sawaal ko aur bhi detail mein samjhaane ke liye, aap specific context aur situation provide kar sakte hain.

INTRODUCTION OF LOSS TRADE main loss us waqt hota hy jb koi insan trading nhi seekhta or na hi usa proper signal ka pata hota hy or jb aik trader trade lgata waqt lot size 10 sents rakhta hy usa lot size .03 rakhna tha tu is lea bhi wo apna investment loss kr bethta hy EXPLANATION Aapke sawaal se mujhe yeh samajhna thoda mushkil ho raha hai ki aap kis chiz ke baare mein baat kar rahe hain. "Misfortune se bachna hai to part estimate least rakhen" mujhe lagta hai ki aap financial exchange, speculations ya exchanging ki baat kar rahe hain, lekin detail mein samajhne mein madad karein.Agar aap securities exchange mein contribute kar rahe hain ya exchanging kar rahe hain, to "part size" ek explicit amount hoti hai jisse aap purchase ya sell kar sakte hain. Lekin isse related chizen market, stock aur methodology ke anusaar alag ho sakti hain.Agar aap "misfortune se bachna" chahte hain, to yeh kuch significant focuses hain jo aapko madad kar sakte hain:Risk The board:Apne speculation ko spread karein aur ek greetings exchange mein jyada paise na lagayein. Har exchange mein kitna risk lena hai, iska ek plan banayein aur us plan ko follow karein.Part Size:Agar aap amateur hain ya kam risk lena chahte hain, to kam parcel size pick karna valuable ho sakta hai. Lekin dhyan rakhein ki bahut chhota parcel size bhi aapke benefit ko limit kar sakta hai.Examination and Investigation:Sahi research aur investigation ke bina venture na karein. Stock ya market ke baare mein puri jaankari prapt karein taki aapko pata ho ki kis stock mein contribute karna sahi hoga.Stop Misfortune:Har exchange mein stop misfortune set karna ek acchi practice hai. Yeh aapke misfortune ko control mein rakhta hai aur aapke predefined level standard exchange ko band kar deta hai.Expansion:Apne portfolio ko expand karna significant hai. Ek greetings stock mein ya area mein zyada contribute na karein. Agar ek area mein misfortune hua to dusre area ke speculations aapko balance karne mein madad karenge.Instruct Yourself:Securities exchange aur exchanging ke baare mein seekhte rahein. Books, online courses, classes, aur specialists se direction lekar apne information ko upgrade karei

Loss ko minimize karne ke liye, machine learning models ko training data par iterate karke optimize kiya jata hai. "Lot size" ka aapka matlab samajh nahi aa raha hai, kya aap detail me bata sakte hain ki aap kis context me "lot size" se baat kar rahe hain? Loss kam karne ke liye kuch common techniques hote hain, jaise ki: Gradient Descent: Gradient descent ek optimization algorithm hai, jisse model parameters ko update kiya jata hai taki loss function kam ho. Learning rate ko sahi se choose karna bhi important hota hai. Data Augmentation: Training data ko augment karke, jaise ki rotation, scaling, or cropping, loss ko kam karne me madadgar ho sakta hai. Regularization: Overfitting se bachne ke liye regularization techniques jaise L1, L2 regularization ka istemal kiya ja sakta hai. Hyperparameter Tuning: Model ke hyperparameters ko sahi se tune karna bhi important hai, jaise ki learning rate, batch size, epochs, etc. Better Architecture: Kabhi-kabhi, model ki architecture ko improve karna bhi loss kam karne me madadgar ho sakta hai. More Data: Agar sambhav ho, toh model ko aur adhik data par train karna bhi loss ko kam kar sakta hai. Loss kam karne ke liye in techniques ko sahi tarike se istemal karna mahatvapurn hai, aur har problem ke liye alag-alag approach ho sakta hai. Aapke specific use case ke liye, aapko model, data, aur optimization technique ko dhyan me rakhkar lot size aur dusre hyperparameters ko set karna hoga.