4.5.11 · Stock-Market › Entry, Exit & Trade Management
Intuition Core idea ek saanS mein
Ek losing trade ek hypothesis hai jo galat prove ho gayi . Use jaldi cut karna "failure maan lena" nahi hai — yeh apna capital protect karna hai taaki agle haath mein bhi khel sako . Math kaafi brutal aur asymmetric hai: losses utne hi bade gains se zyada hurt karti hain , kyunki recover karne ke liye tumhare paas ab kam capital bacha hota hai.
Loser ko cut karna matlab hai trade se tab nikalna jab tumhara predefined invalidation level (stop-loss) hit ho jaaye, bina khud se renegotiate kiye . "Quickly" ka matlab hai plan pe act karna, emotion pe nahi — tum us level pe exit karte ho jo tumne paisa lagane se pehle choose kiya tha.
Key distinction:
Ek losing trade = normal, expected, game ka hissa.
Ek runaway loss = ek chhota loss jise tumne cut karne se mana kar diya , aur woh phool gaya. Yahi account killer hai.
Intuition Kyun ek bada loss itna "feel" se zyada bura hota hai
Agar tumhare account ka 10% loss ho jaaye, tumhe wapas aane ke liye +10% nahi chahiye — tumhe zyada chahiye, kyunki ab tum ek chhoti pile ko grow kar rahe ho. Jitna gehra gaddha, utni hi zyada disproportionate climbing.
Capital C se shuru karo. Fraction L ka loss uthao (e.g. L = 0.5 for a 50% loss).
Bacha hua capital:
C after = C ( 1 − L )
C pe wapas aane ke liye, tumhe reduced capital pe ek gain fraction g chahiye jaise ki:
C after ( 1 + g ) = C
Substitute karo:
C ( 1 − L ) ( 1 + g ) = C
C cancel karo (yeh sirf ek scale hai, isliye drop out ho jaata hai — kyun? kyunki recovery % account size pe depend nahi karta, sirf fraction lost pe karta hai):
( 1 − L ) ( 1 + g ) = 1
g ke liye solve karo:
Padho isse: denominator 1 − L shrink hota hai jaise L badhta hai, toh g non-linearly explode karta hai .
Loss L
Gain needed g
10%
11.1%
20%
25%
33%
50%
50%
100%
90%
900%
Intuition Decision TRADE SE PEHLE hona chahiye
Tumhara rational brain sirf enter karne se pehle in charge hota hai. Ek baar andar gaye aur red mein ho, toh fear aur hope tumhe hijack kar lete hain. Isliye tum exit ko ek rule ke hawaale kar dete ho .
Workflow:
Invalidation define karo — woh price jis par tumhara trade idea galat ho jaata hai (e.g. support ke neeche).
Position size karo taaki stop hit hone par sirf capital ka ek fixed % cost ho (risk-per-trade , typically 1–2%).
Stop ko ek order ki tarah place karo , mental note ki tarah nahi. Mental stop = negotiable = toota hua.
Stop ko apne khilaf mat khiskaao (use "room dene" ke liye wider karna = loser ko na kaat na).
Tum choose karte ho: risk fraction r per trade (e.g. r = 0.01 ), account C , entry price P e , stop price P s .
Wo paisa jo tum khoone ke liye tayyar ho:
Risk $ = r ⋅ C
Loss per share agar stopped:
Loss/share = P e − P s
Shares N = total risk divided by per-share risk (kyun? taaki N × per-share loss exactly tumhare allowed dollar risk ke barabar ho):
N = P e − P s r ⋅ C
Worked example Example 1 — Sizing taaki loss capped ho
Account C = \ 50{,}000, r i s k r = 1%, e n t r y P_e = 100, s t o p P_s = 95$.
Step 1: Risk_\ = 0.01 \times 50000 = $500$. Kyun? Yeh max pain hai jo hum accept karte hain.
Step 2: Loss/share = 100 - 95 = \ 5$. Kyun? Entry se invalidation tak ki distance.
Step 3: N = 500/5 = 100 shares. Kyun? 100 \times \ 5 = $500$, exactly humara cap.
Agar price 95 hit kare, hum \ 500$ (1%) kho dete hain — ek rounding error , na koi wound.
Worked example Example 2 — CUT NA KARNE ki cost
Same trade, lekin tum "hope" karte ho aur hold karte ho. Price 70 tak gir jaati hai.
Loss/share = 100 - 70 = \ 30, t o h l oss = 100 \times 30 = $3{,}000 = 6%$ of account.
Ab L = 0.06 , recovery g = 0.06/0.94 = 6.4% . Abhi bhi theek-thaak...
50 tak hold kiya: loss = \ 5000 = 10%; r eco v er y n ee d e d = 11.1%. ∗ K y u n s n o w ba l l h o t ahai ? ∗ K y u nk iha r e x t r a d o l l a r k h oy e j aan e p a r t u m g = L/(1-L)$ ke steep part mein push ho jaate ho.
Worked example Example 3 — Tight stops ke saath break-even hit rate
Agar tum losers ko 1 R pe cut karo aur winners ko 3 R tak run karne do (R = risk unit), tumhari expectancy hai:
E = ( win% × 3 R ) − ( loss% × 1 R )
Break-even jab E = 0 : win% × 3 = loss% × 1 , aur win%+loss%=1.
Solve karo: 3 w = ( 1 − w ) ⇒ w = 0.25 . Yeh kyun matter karta hai? Losers ko chhota cut karna matlab tum 75% time galat ho sakte ho aur phir bhi profit kar sakte ho .
Common mistake "Main isse breathe karne ka room dunga — stop wide karna patience hai."
Kyun sahi lagta hai: markets noisy hote hain; tumhara stop-out hua phir tumne dekha woh reverse ho gaya. Wider karna wisdom jaisa lagta hai.
Fix: noise handling original stop placement mein honi chahiye (volatility/structure ke basis par), entry se pehle decide karke. Entry ke baad move karna patience nahi hai — yeh ek losing hypothesis par risk badhana hai. Ek baar sahi set karo, phir kabhi apne khilaf mat khiskaao.
Common mistake "Jab tak bechoon nahi, loss nahi hai — yeh toh sirf paper loss hai."
Kyun sahi lagta hai: tumne loss "lock in" nahi kiya, isliye yeh reversible lagta hai.
Fix: paper loss capital ki optionality ka real loss hai. Woh paisa ek galat idea mein tied up hai aur kahin aur kaam nahi kar sakta. Market ko nahi pata aur nahi parwah hai tumne kya price diya — tumhari entry price aage kya hoga usme irrelevant hai .
Common mistake "Averaging down cost basis lower karta hai — smart!"
Kyun sahi lagta hai: cheaper average = break even ke liye chhota bounce chahiye.
Fix: tum ek aise position mein size add kar rahe ho jo already tumhe galat prove kar raha hai . Tum exactly tab risk badha rahe ho jab tumhara evidence sabse bura hai. Cutting iske bilkul opposite discipline hai.
Recall Feynman: ek 12-saal ke bachche ko explain karo
Imagine karo tumne kuch coins bet lagaye ki barish hogi. Clouds clear ho gaye — tum galat the. Ek smart bachcha abhi bhi table par bache coins wapas le leta hai aur unhe agli bet ke liye bachata hai. Ek ziddi bachcha aur zyada coins bahar chhod deta hai, sure hai ki barish aayegi, aur sab kho deta hai. Losers cut karna = jaise hi aasman "no rain" bole, apne coins wapas grab karna. Kyunki agar bahut saare coins kho diye, toh bet hi nahi kar sakte — aur agar 1 coin bacha hai, toh 10 tak wapas aane ke liye 9 baar jeetnaa padega.
"CUT" = Cap the loss, Use a rule, Trust the plan."
Aur asymmetry chant: "Lose 50, need +100."
Recall Answers cover karo aur khud test karo
Loser cut karna kya protect karta hai?
−10% loss recover karne ke liye +10% kyun kaafi nahi?
Exit decision kahan leni chahiye?
Ek losing trade failure ke barabar kyun nahi hai? Loss ek probabilistic edge ka expected outcome hai; yeh failure tabhi banta hai jab tum use cut karne se mana karo aur use balloon hone do.
Loss of fraction L recover karne ke liye chahiye gain ka formula? g = 1 − L L — derived from ( 1 − L ) ( 1 + g ) = 1 .
50% loss recover karne ke liye chahiye gain? 100% (kyunki 0.5/0.5 = 1 ).
Risk r, capital C, entry P e , stop P s given position-size formula? N = P e − P s r C .
Stop real order kyun hona chahiye, mental nahi? Mental stops negotiable hote hain; emotion (hope/fear) unhe renegotiate kar deti hai jaise hi price tumhare khilaf jaati hai.
1R stops aur 3R targets ke saath, kaun sa win% break even karta hai? 25% (3 w = 1 − w ).
Steel-man: "breathe karne ka room do" kyun smart lagta hai, aur fix kya hai? Noise ke khilaf patience jaisa lagta hai; fix = noise ko ORIGINAL stop mein handle karo, entry ke baad kabhi apne khilaf wider mat karo.
Tumhari entry price future price action ke liye irrelevant kyun hai? Market ko koi memory nahi hai tumne kya pay kiya; sirf structure aur current information price drive karte hain.
Loser par averaging down mein kya galat hai? Tum ek position mein size (risk) add karte ho jabki evidence bol raha hai tum galat ho — sabse bure time par exposure badha rahe ho.
Stop-Loss Placement — invalidation level choose kaise karein.
Position Sizing & Risk-per-Trade — N = r C / ( P e − P s ) engine.
Risk-Reward Ratio (R-multiples) — chhote losses low win rates kyun enable karte hain.
Expectancy & Edge — win% aur R ko profitability mein combine karna.
Letting Winners Run — mirror-image discipline.
Trading Psychology — Fear & Hope — hum cut karne mein kyun fail karte hain.
risk fraction r caps loss
Losing trade = hypothesis proven wrong
Cut loser at invalidation level
Recovery return g = L over 1-L
Gain needed explodes non-linearly
Define invalidation price