4.4.9 · HinglishWhen to Trade — Timing & Sessions

Understand volatility windows (events, expiry)

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4.4.9 · Stock-Market › When to Trade — Timing & Sessions


Volatility windows exist hi kyun karte hain?

Do engines yeh windows banate hain:

  1. Events (information shocks): earnings, RBI/Fed rate decisions, GDP/CPI/jobs data, budget, election results. Event se pehle → uncertainty option prices ke andar frozen rehti hai. Release hone par → uncertainty ek fact mein collapse ho jaati hai → bada move.
  2. Expiry (deadline pressure): derivatives (futures/options) ek fixed date par settle hone chahiye. Jo traders yeh contracts hold kar rahe hain unhe hedge, roll, ya close karna padta hai → mechanical order flow → sharp, kabhi kabhi irrational moves.

Part 1 — Event Volatility

Market kya price karta hai: Implied Volatility (IV)

Options ka sirf ek price nahi hota — woh price encode karti hai ki traders kitne movement ki expect karte hain. Option ki market price se volatility input solve karne par milti hai Implied Volatility (IV).

"Expected move" kaise estimate karein — first principles se derive kiya hua

Hum chahte hain: option market ke according, event tak price kitna move kar sakti hai?

Ek assumption se shuru karte hain ki 1-year returns ka standard deviation hai (annualized IV). Volatility square root of time ke saath scale karti hai kyunki independent daily moves ke variances add hote hain:

Square roots lete hain:

Ek option straddle (ATM call + ATM put price) ke liye expected move ka ek market shortcut:

factor isliye hai kyunki straddle true 1-σ move ko thoda overstate karta hai.


Part 2 — Expiry Volatility

Expiry wild moves kyun cause karta hai

Expiry ke paas do Greeks dominate karte hain:

Figure — Understand volatility windows (events, expiry)

Common mistakes ko steel-man karna


Active Recall

Recall Khud test karo (answers chhupao)
  • Volatility ke saath scale kyun karti hai, ke saath nahi? → Independent steps ke variances add hote hain; std dev variance ka square root hai.
  • IV crush kya hai aur kab strike karta hai? → Scheduled event ke uncertainty resolve hone ke baad implied volatility ka sudden collapse.
  • Expiry ke paas kaunse do Greeks dominate karte hain? → Theta (decay ) aur Gamma (huge sensitivity → whipsaws/pin).
  • Aapne ₹40 earnings move sahi predict kiya aur woh ₹40 hi move hua, lekin aapke long straddle ne paise khoye. Kyun? → IV crush ne extrinsic value drain kar di; move sirf utna hi hua jitna priced in tha.
Recall Feynman: ek 12-saal ke bachche ko samjhao

Socho ek shaken soda bottle (news se pehle market). Sab guess kar rahe hain ki fizz karega ya nahi. Yeh guessing "protection tickets" (options) ki price ko mehnga kar deta hai. Jis pal aap cap kholte ho (news aati hai), fizz ek baar hoti hai — ek bada spray (move) — aur phir woh flat ho jaata hai. Jo log mehnge protection tickets khareedte hain woh dukhi hote hain kyunki ticket ab sasti ho gayi, chahe fizz utni hi badi thi jitni expect thi. Expiry ek test ke aakhri minute jaisi hai: timer sab ko ek saath answers scribble karne par majboor karta hai (positions settle karna), toh buzzer bajte hi kamra pagal ho jaata hai.


Connections

  • Implied Volatility & IV Crush
  • Option Greeks — Theta and Gamma
  • Max Pain and Option Pinning
  • Intraday Session Timing — event releases aksar session open par cluster hote hain
  • Economic Calendar & Earnings Calendar
  • Risk Management Around Events
  • Straddles and Strangles

A volatility window is
ek predictable time slice (event ya expiry ke aas paas) jab price range abnormally badi ho jaati hai.
Volatility windows ke do engines hain
information shocks (events) aur deadline pressure (expiry/settlement).
Volatility time ke saath scale karti hai
time ke square root ke saath, kyunki independent steps ke variances add hote hain.
Expected move formula
EM ≈ S₀ · σ_ann · √(T/365).
Implied Volatility (IV) hai
woh volatility input jo ek option ki market price se implied hoti hai; expected movement/fear ka gauge.
IV crush hai
scheduled event ke uncertainty khatam hone ke baad implied volatility ka sudden collapse.
Expected move ke liye straddle rule of thumb
≈ 0.85 × (ATM call + ATM put price).
Theta expiry ke paas behave karta hai jaise
decay rate ∝ 1/√T, toh extrinsic value aakhri din sabse tezi se pighalti hai.
Gamma expiry ke paas karta hai
ATM options ke liye spike karta hai, moves amplify karta hai aur pinning/whipsaws cause karta hai.
Earnings se pehle options kharidna aksar kyun lose karta hai
move high IV ke zariye price mein hai, aur IV crush correct call par bhi value drain kar deta hai.
India mein, index options typically expire karte hain
weekly, monthly contracts aakhri Thursday ko (exchange rules ke hisaab se).
Ek 4-day window ka move vs 1-day move
lagbhag 2× (√4), 4× nahi.

Concept Map

caused by

caused by

is a burst of

inflate before release

collapses at release

feeds

derived from

because

guides

forces

Volatility Window

Events - info shocks

Expiry - deadline pressure

Disagreement being resolved

Implied Volatility

IV Crush

Expected Move

Square-root of time rule

Variances of daily moves add

Match strategy to timing