What is an Order Book? Definition, Types & How It Works

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An order book is an electronic list of buy and sell orders for a financial instrument organized by price level. Order books are used for stocks, commodities, forex, cryptocurrencies, and other financial assets to record market participants' interest in transacting at different price points.

Key Takeaways


Key Components of an Order Book

Order books consist of three main sections:

  1. Buy Orders (Bids):

    • List of outstanding buy requests.
    • Shows quantity and bid price.
  2. Sell Orders (Asks):

    • List of outstanding sell offers.
    • Displays quantity and asking price.
  3. Order History:

    • Records completed trades.
    • Includes price, volume, and timestamp.

At the top, the best bid (highest buyer price) and best ask (lowest seller price) form the spread. A tight spread indicates high liquidity.


How Order Books Work

  1. Order Placement: New orders are added to the book based on type (buy/sell) and limit price.
  2. Matching: If a buy order matches a sell order’s price, a trade executes.
  3. Execution: Filled orders are removed; details log to history.

Example:

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Special Order Types

Order TypeDescription
Limit OrdersExecute only at specified price (e.g., "Buy BTC ≤ $50K").
Stop-LossTriggers market order to limit losses (e.g., "Sell ETH if < $3K").
Trailing StopAdjusts trigger price dynamically to lock profits.
Fill-or-KillRequires immediate full execution (no partial fills).

Analyzing Order Book Data

Traders use order books to:

Pro Tip: Combine with time & sales data for a complete market view.


FAQs

1. Why is the order book important for day traders?

It reveals real-time liquidity and price levels, helping traders time entries/exits.

2. How do dark pools affect order books?

Large hidden trades in dark pools aren’t visible, potentially causing sudden price moves.

3. What’s the difference between market depth and spread?

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Conclusion

Order books offer transparency into market activity but exclude dark pool trades. Use them alongside time/sales data to gauge liquidity and make informed decisions. Always account for hidden liquidity in volatile markets!