Tradelyser Logo
Market Structure
Updated 2025-06-04·Editorial policy·Trading system

What is Order Book?

Order book displays resting buy and sell quantities at each price — depth and imbalance.

Formula

Order Book Example (HDFC Bank): SELL SIDE (Asks): Price | Quantity | Orders ₹1,605 | 2,500 | 8 ₹1,604 | 4,200 | 12 ₹1,603 | 6,800 | 15 ₹1,602 | 3,500 | 10 ← Best Ask BUY SIDE (Bids): Price | Quantity | Orders ₹1,601 | 5,200 | 14 ← Best Bid ₹1,600 | 8,500 | 22 ₹1,599 | 4,100 | 11 ₹1,598 | 2,800 | 9 Spread: ₹1,602 - ₹1,601 = ₹1 (0.06%)

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 Order Book shows up on Indian index, equity, and futures books — update to live quotes in your journal.

Nifty 50 perspective

Order Book on NSE cash and Nifty (24,300): co-movement with global futures (SGX/GIFT) affects open print — log pre-market cue in journal.

Bank Nifty futures perspective

Order Book visible in Bank Nifty depth at 55,000: banking basket drives ~40% of index move; watch HDFC/ICICI/Kotak contribution when interpreting order book.

How to validate

  • Validate Order Book fills against broker contract notes monthly.
  • Measure median slippage in points/₹ for Order Book on Bank Nifty vs mid-caps.
  • Flag sessions with abnormal rejections or partial fills for separate review.
  • Compare limit vs market tags only on symbols with similar liquidity.

How to track in TradeLyser

  • Record order type, limit price, fill price, and latency on the trade.
  • Tag “slippage > plan” when Order Book fills worse than expected.
  • Monthly slippage report by symbol and order type in analytics.
  • Reconcile with broker order log quarterly.

Best practices

  • Choose Order Book before the move, not after FOMO entry.
  • Default to limits on illiquid mid-caps; markets on urgent exits only.
  • Log rejected orders — they reveal unrealistic limit discipline.
  • Review slippage in R-multiples, not only rupees.

Common pitfalls

  • Chasing with market orders after Order Book already moved.
  • Using limits on fast Bank Nifty breaks without timeout rules.
  • Not recording partial fills — skews performance stats.
  • Assuming broker fills match intended Order Book every time.

How to use this in TradeLyser

Note top-of-book size vs your order size; tag imbalance if used as signal.

Related terms

FAQ

Level 2 on NSE retail?

Depth feeds vary by broker — know your data.

Spoofing awareness?

Large fleeting orders distort — confirm with time and sales.

Start journaling with TradeLyser

Connect your broker, tag strategies, and review performance with AI-assisted insights.