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The market data for a particular instrument would include the identifier of the instrument and where it was traded such as the ticker symbol and exchange code plus the latest bid and ask price and the time of the last trade. It may also include other information such as volume traded, bid, and offer sizes and static data about the financial ...
In securities trading, an order book contains the list of buy orders and the list of sell orders. For each entry it must keep among others, some means of identifying the party (even if this identification is obscured, as in a dark pool), the number of securities and the price that the buyer or seller are bidding/asking for the particular security.
The last sale ticker contained every trade with both price and volume for each trade. The bid-ask ticker contained only the two prices and no size. The volume of data on the last sale ticker was therefore much greater than on the bid-ask ticker. Because of this, on high volume days the last sale ticker would run as much as fifteen minutes ...
Because of this, active traders in particular may want to pay attention to the bid-ask spread. For example, if a stock price has a bid price of $100 and an ask price of $100.05, the bid-ask spread ...
It is a transparent system that matches customer orders (e.g. bids and offers) on a 'price time priority' basis. The highest ("best") bid order and the lowest ("cheapest") offer order constitutes the best market or "the touch" in a given security or swap contract. Customers can routinely cross the bid/ask spread to effect immediate execution.
For instance, if a trader submits a limit order to buy 1,000 shares of MSFT at $28.00, this order will appear in a market maker for MSFT's book with a bid of $28.00 and a bid size of 1000. The difference between the bid and ask price is known as the bid–ask spread.
Financial data includes "pre-trade" such as bid-ask data necessary to price a financial instrument and post-trade data such as the last trade price and other transaction data. From ticker tape to television cameras, from databases to websites this multibillion-dollar industry provides data utilized in the financial sector.
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