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In finance, market data is price and other related data for a financial instrument reported by a trading venue such as a stock exchange. Market data allows traders and investors to know the latest price and see historical trends for instruments such as equities, fixed-income products, derivatives, and currencies. [1]
As you can see on this slide, it includes a live tracker of various metrics and market data, including share price, performance, market cap Bitcoin count, trading volume, options open, interest ...
From 1797 to 1811 in the United States, the New York Price Current was first published. It was apparently the first newspaper to publish stock prices, and also showed prices of various commodities. In 1884 the Dow Jones company published the first stock market averages, and in 1889 the first issue of the Wall Street Journal appeared.
An open-high-low-close chart (OHLC) is a type of chart typically used in technical analysis to illustrate movements in the price of a financial instrument over time. Each vertical line on the chart shows the price range (the highest and lowest prices) over one unit of time, e.g., one day or one hour.
Data collected details both trades and quotes, including price changes and direction, time stamps, and volume. Such information can be found at the TAQ (Trade and Quote) database operated by the NYSE. [4] Where trade data details the exchange of a transaction itself, quote data details the optimal trading conditions for a given exchange.
In finance, the binomial options pricing model (BOPM) provides a generalizable numerical method for the valuation of options.Essentially, the model uses a "discrete-time" (lattice based) model of the varying price over time of the underlying financial instrument, addressing cases where the closed-form Black–Scholes formula is wanting, which in general does not exist for the BOPM.
The Black–Scholes model assumes positive underlying prices; if the underlying has a negative price, the model does not work directly. [51] [52] When dealing with options whose underlying can go negative, practitioners may use a different model such as the Bachelier model [52] [53] or simply add a constant offset to the prices.
For example, when a DJI call (bullish/long) option is 18,000 and the underlying DJI Index is priced at $18,050 then there is a $50 advantage even if the option were to expire today. This $50 is the intrinsic value of the option. In summary, intrinsic value: = current stock price − strike price (call option)