4.4.7 · Stock-Market › When to Trade — Timing & Sessions
Intuition Ek saans mein core idea
Markets surprise par move karte hain, news par nahi. Agar sabko pehle se kisi number ki ummeed thi, toh price pehle hi usse reflect kar chuki hoti hai — ise pricing in kehte hain. News ke around kab trade karna hai, yeh actually ek sawaal hai ki outcome kitni pehle se known hai aur kitni uncertainty abhi collapse hone wali hai.
Ek scheduled ya unscheduled information release jo market ka kisi asset ki fair value ka estimate badal deti hai. Do families hoti hain:
Scheduled / high-impact : interest-rate decisions, inflation (CPI), employment (NFP — Non-Farm Payrolls), GDP, company earnings.
Unscheduled / shock : geopolitical events, natural disasters, surprise central-bank action, CEO resignations.
Definition Key vocabulary
Consensus (forecast) ::: release se pehle average analyst expectation.
Actual ::: woh number jo actually publish hota hai.
Surprise ::: Actual − Consensus . Yahi price ko move karta hai.
Priced in ::: expectation already current price mein reflect ho chuki hai.
Intuition "Efficiency" ka Feynman version
Ek bet socho: sabko pata hai coin 70% heads hai. "Heads" ki price already 0.70 ke paas baith jaati hai. Agar heads aata hai, koi shocked nahi hota — chhota sa move. Bet tabhi jump karta hai jab reality crowd ki belief se alag ho. Stock prices woh bets hain future par; unmein crowd ka forecast pehle se hi hota hai.
Maano current price P 0 kisi future cashflow driver X ki market ki expected value ko embed karti hai:
P 0 = f ( E [ X ])
jahan E [ X ] consensus expectation hai. Jab actual X a aata hai, price update hoti hai:
P 1 = f ( X a )
f ko E [ X ] ke around first order (Taylor) mein expand karo:
P 1 ≈ f ( E [ X ]) + f ′ ( E [ X ]) ( X a − E [ X ] )
P 0 = f ( E [ X ]) subtract karo:
Δ P = P 1 − P 0 ≈ f ′ ( E [ X ]) ⋅ surprise ( X a − E [ X ])
Release se pehle, X a ke baare mein uncertainty zyada hoti hai, isliye option prices (implied volatility) inflate hote hain. Jis moment number print hota hai, uncertainty collapse ho jaati hai.
Worked example Example 3 — IV-crush trap
Tum earnings se pehle ek call khareedte ho, jump ki ummeed mein. Stock report par 3% utha.
Step 1: direction sahi (+3%).
Step 2: lekin option ki implied vol girती hai jab σ event 2 → 0 .
Step 3: IV crush se premium hua loss > 3% move se gain → net loss. Kyun? Tumne bade surprise ke liye pay kiya; tumhe chhota mila.
Recall Reveal karne se pehle predict karo
Ek stock se 10% revenue growth expect ki ja rahi hai. Actual 10% aata hai lekin management next-quarter guidance cut karti hai. Move forecast karo, phir check karo.
Verify: Revenue surprise = 0 → us se koi move nahi. Lekin guidance ek naya driver hai negative surprise ke saath → price girta hai . Total move un-priced item se drive hota hai.
Common mistake "Number great tha, toh stock zaroori upar jayega."
Kyun sahi lagta hai: intuitively achhe results = achha stock. Flaw: market pehle se achhe results expect kar rahi thi , isliye woh priced in hain. Fix: Actual vs Consensus compare karo, Actual vs zero nahi.
Common mistake "Main earnings se pehle options khareedta hoon move pakadne ke liye."
Kyun sahi lagta hai: bada move ⇒ bada option payoff. Flaw: tum inflated premium (event variance) pay karte ho jo release par vanish ho jaata hai. Fix: tumhe itna bada surprise chahiye jo IV crush overcome kare; aksar volatility sell karna ya wait karna zyada smart hota hai.
Common mistake "News abhi aayi hai, main abhi jump karta hoon."
Kyun sahi lagta hai: tumne fresh info dekha. Flaw: algorithms ne milliseconds mein price kar diya; pehla spike aksar over-shoot karta hai aur reverse ho jaata hai. Fix: reaction settle hone ka wait karo, ya established post-news trend trade karo.
News release par price actually kya move karta hai — number ya surprise? Surprise: Actual − Consensus .
"Priced in" define karo. Market ki expectation already current price mein reflect hoti hai, isliye expected outcome se chhota move hota hai.
News par price move ka first-order formula likho. Δ P ≈ f ′ ( E [ X ]) ⋅ ( Actual − Consensus ) .
Ek company profit expectations beat karne ke bawajood kyun gir sakti hai? Agar Actual < Consensus toh surprise negative hota hai, chahe profits positive hon.
IV crush kya hai? Scheduled number release hone par event-driven implied volatility ka collapse, jo option premiums deflate kar deta hai.
Ek options buyer direction mein sahi hone par bhi kyun lose kar sakta hai? IV crush woh event volatility premium hata deta hai jo unhone pay kiya tha, jo directional gain se zyada hota hai.
Jab rate hike fully expected hota hai, toh market ko actually kya move karta hai? Forward guidance/tone — nai, un-priced information.
Teen high-impact scheduled events ke naam batao. Interest-rate decisions, CPI/inflation, employment (NFP), saath hi GDP aur earnings.
Sensitivity term f ′ kya represent karta hai? Yeh particular asset ki price us data driver ke liye kitni strongly respond karti hai.
Recall Feynman: 12 saal ke bachche ko explain karo
Socho tumhari class pehle se guess karti hai ki tum test mein 90 laoge. Agar tumhe exactly 90 milte hain, koi surprised nahi hota — koi gasp nahi karta. Lekin agar 60 milte hain, sab react karte hain! Stock market bhi aisa hi hai: prices pehle se news "guess" kar leti hain. Woh tabhi jump karti hain jab reality guess se alag hoti hai. Aur results aane se pehle, sab nervous hote hain aur "reaction tickets" (options) ke liye extra pay karte hain; jis moment result pata chalta hai, nervousness disappear ho jaati hai aur woh tickets saste ho jaate hain — chahe tumne direction sahi guess kiya ho.
"SASS" — S urprise (Actual − Consensus) times S ensitivity price move karta hai; A fter release, uncertainty S quash ho jaati hai (IV crush). No surprise = No move.
Market Sessions and Liquidity — news sabse zyada active sessions ke overlap mein land karti hai.
Economic Calendar — jahan scheduled high-impact events listed hote hain.
Implied Volatility and Options Pricing — IV-crush mechanism.
Efficient Market Hypothesis — "priced in" ka theoretical basis.
Risk Management around Events — position sizing jab surprise variance high ho.
right on direction still lose
Implied volatility inflates