Seedha jawab
1% Risk Rule yahan sirf arithmetic example hai, har shakhs ke liye recommendation nahin.
Kaise kaam karta hai
- Risk amount = account × entered percent.
- Quantity stop distance se nikalti hai.
- Fees aur Slippage buffer separately dekhna hota hai.
Pakistan / PKR example
PKR 100,000 × 1% = PKR 1,000 arithmetic risk amount; user apna input khud choose karta hai.
Kab fail ho sakta hai
- Gap se actual loss 1% se zyada ho sakta hai.
- Correlated positions combined account risk barhate hain.
Aam ghaltiyan
- 1% ko universally safe kehna.
- Quantity ko leverage se seedha multiply karna.
Check list
- Account basis define karein.
- Stop distance realistic rakhein.
- Open positions ka combined PKR risk dekhein.
Ek percent sirf starting framework hai
One-percent rule ka matlab aam tor par account equity ka ek percent planned loss par risk karna hai, na ke position ki total value ko ek percent rakhna. Yeh universal safe number ya guarantee nahin. Volatile instrument, correlated positions, strategy drawdown aur personal loss capacity ke mutabiq lower limit munasib ho sakti hai. PKR equity ko current value par lein aur fees/slippage ka buffer add karein. Rule ka faida consistency hai; number ko blindly follow karna nahin.
Position quantity ka formula
Pehle risk budget nikalein: account equity multiplied by chosen risk percent. Phir entry aur stop ke darmiyan per-unit loss nikalein, contract multiplier aur currency conversion ko include karein. Quantity risk budget ko adjusted per-unit loss se divide karke aati hai. Agar minimum lot ya notional rule quantity ko round up karta hai to actual risk dobara check karein; zarurat par trade skip ho sakta hai. Leverage required margin badalta hai, stop distance par planned economic loss ko khud se kam nahin karta.
Portfolio-level exposure
Teen alag crypto positions har ek one percent risk par hon lekin sab market ke saath highly correlated hon to combined loss ek hi event mein aa sakta hai. Open risks ko PKR mein jor kar sector, direction aur shared invalidation ke mutabiq dekhein. Pending orders bhi exposure ban sakte hain. Daily ya weekly loss cap aur maximum simultaneous risk ko journal mein define karna single-trade rule ko portfolio context deta hai. Correlation stable nahin hoti, is liye estimate ko certainty na samjhein. Pending orders ko bhi potential open risk mein count karein. Ek order fill hone ke baad doosre correlated orders cancel ya resize karne ka rule pehle likhna combined exposure ko control karne mein madad deta hai. Calculation ko order se pehle dobara verify karein.
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