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Risk Management
Updated 2025-06-04·Editorial policy·Trading system

What is Value at Risk (VaR)?

Value at Risk estimates loss threshold not expected to be exceeded at given probability (e.g. 95% 1-day VaR).

Formula

VaR = Position Value × Daily Volatility × Z-Score

Indian market context (NSE)

Reference levels: Nifty 50 at 24,300, Reliance Industries at ₹1,300, Bank Nifty futures at 55,000 (lot size 30). Examples below show how Value at Risk (VaR) shows up on Indian index, equity, and futures books — update to live quotes in your journal.

Nifty 50 perspective

Value at Risk (VaR) on Nifty (24,300): define rupee risk per trade before the 9:15 open; index gaps on global cues can skip planned value at risk (var) levels — use exchange-supported stop types and size for gap beyond stop.

Reliance Industries perspective

Value at Risk (VaR) for Reliance (₹1,300): stock circuits and 20% band limits can trap positions past your planned exit; keep value at risk (var) outside circuit freeze zones where possible.

Bank Nifty futures perspective

Value at Risk (VaR) on Bank Nifty (55,000): span margin changes intraday — a valid value at risk (var) at entry may be too large after a margin hike; recheck buying power before adding lots.

How to validate

  • Validate Value at Risk (VaR) with a written rule and at least 20 tagged examples.
  • Ask whether the reading changed because of process or one outlier trade.
  • Compare two independent time windows before adjusting position size.
  • Document validation date in weekly review notes.

How to track in TradeLyser

  • Mention Value at Risk (VaR) in trade comments when it influenced the decision.
  • Mirror the term in weekly review questions for consistency.
  • Filter trades mentioning the concept during monthly analytics.
  • Cross-link to related glossary terms in mentor notes.

Best practices

  • Teach Value at Risk (VaR) the same way to mentors and peers — shared vocabulary.
  • Re-read this page after major rule changes to Value at Risk (VaR) usage.
  • Prefer one improvement per month over ten simultaneous tweaks.
  • Link learn articles when Value at Risk (VaR) needs deeper study.

Common pitfalls

  • Using Value at Risk (VaR) buzzwords without measurable journal tags.
  • Copying another trader’s Value at Risk (VaR) rule without sample size context.
  • Skipping weekly review because the term feels “basic”.
  • Letting social media redefine Value at Risk (VaR) mid-quarter.

How to use this in TradeLyser

Optional weekly VaR on open book; reduce heat if VaR breaches plan.

Related terms

FAQ

VaR for retail day trader?

Optional — portfolio heat simpler daily.

Parametric vs historical VaR?

Historical needs long trade history per tag.

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