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  2. Algorithmic trading - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_trading

    In the U.S., decimalization changed the minimum tick size from 1/16 of a dollar (US$0.0625) [a] to US$0.01 per share in 2001, and may have encouraged algorithmic trading as it changed the market microstructure by permitting smaller differences between the bid and offer prices, decreasing the market-makers' trading advantage, thus increasing ...

  3. Automated trading system - Wikipedia

    en.wikipedia.org/wiki/Automated_trading_system

    An automated trading system (ATS), a subset of algorithmic trading, uses a computer program to create buy and sell orders and automatically submits the orders to a market center or exchange. [1]

  4. High-frequency trading - Wikipedia

    en.wikipedia.org/wiki/High-frequency_trading

    High-frequency trading (HFT) is a type of algorithmic trading in finance characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools. [1] [2] [3] While there is no single definition of HFT, among its key attributes are highly sophisticated algorithms ...

  5. Kelly criterion - Wikipedia

    en.wikipedia.org/wiki/Kelly_criterion

    Example of the optimal Kelly betting fraction, versus expected return of other fractional bets. In probability theory, the Kelly criterion (or Kelly strategy or Kelly bet) is a formula for sizing a sequence of bets by maximizing the long-term expected value of the logarithm of wealth, which is equivalent to maximizing the long-term expected geometric growth rate.

  6. Binary option - Wikipedia

    en.wikipedia.org/wiki/Binary_option

    In the Black–Scholes model, the price of the option can be found by the formulas below. [27] In fact, the Black–Scholes formula for the price of a vanilla call option (or put option) can be interpreted by decomposing a call option into an asset-or-nothing call option minus a cash-or-nothing call option, and similarly for a put – the binary options are easier to analyze, and correspond to ...

  7. Program optimization - Wikipedia

    en.wikipedia.org/wiki/Program_optimization

    For algorithms, this primarily consists of ensuring that algorithms are constant O(1), logarithmic O(log n), linear O(n), or in some cases log-linear O(n log n) in the input (both in space and time). Algorithms with quadratic complexity O( n 2 ) fail to scale, and even linear algorithms cause problems if repeatedly called, and are typically ...

  8. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

  9. Apriori algorithm - Wikipedia

    en.wikipedia.org/wiki/Apriori_algorithm

    All the itemsets of size 1 have a support of at least 3, so they are all frequent. The next step is to generate a list of all pairs of the frequent items. For example, regarding the pair {1,2}: the first table of Example 2 shows items 1 and 2 appearing together in three of the itemsets; therefore, we say item {1,2} has support of three.