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  2. Option (finance) - Wikipedia

    en.wikipedia.org/wiki/Option_(finance)

    In finance, an option is a contract which conveys to its owner, the holder, the right, but not the obligation, to buy or sell a specific quantity of an underlying asset or instrument at a specified strike price on or before a specified date, depending on the style of the option.

  3. Options strategy - Wikipedia

    en.wikipedia.org/wiki/Options_strategy

    The most bearish of options trading strategies is the simple put buying or selling strategy utilized by most options traders. The market can make steep downward moves. Moderately bearish options traders usually set a target price for the expected decline and utilize bear spreads to reduce cost.

  4. How implied volatility works with options trading

    www.aol.com/finance/implied-volatility-works...

    An option’s implied volatility (IV) gauges the market’s expectation of the underlying stock’s future price swings, but it doesn’t predict the direction of those movements.

  5. Options Clearing Corporation - Wikipedia

    en.wikipedia.org/wiki/Options_Clearing_Corporation

    The Options Clearing Corporation (OCC) was founded in 1973, initially as a clearing house for five listed markets for equity options. Prior to its establishment, due to a great deal of encouragement from the SEC, the Chicago Board Options Exchange had its clearing entity, the CBOE Clearing Corporation. [citation needed]

  6. Option symbol - Wikipedia

    en.wikipedia.org/wiki/Option_symbol

    Options Clearing Corporation's (OCC) Options Symbology Initiative (OSI) mandated an industry-wide change to a new option symbol structure, resulting in option symbols 21 characters in length. March 2010 - May 2010 was the symbol consolidation period in which all outgoing option roots will be replaced with the underlying stock symbol.

  7. Markov decision process - Wikipedia

    en.wikipedia.org/wiki/Markov_decision_process

    The difference between learning automata and Q-learning is that the former technique omits the memory of Q-values, but updates the action probability directly to find the learning result. Learning automata is a learning scheme with a rigorous proof of convergence. [20] In learning automata theory, a stochastic automaton consists of:

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