Real time options trading simulator

Change order button allows a player to change an order. Upon selecting change order button , the player's original order ticket will pop up. The player can then edit any field that is not greyed out. When the player has finished making changes, the play can then click place order to place the order. The changes will be applied to the order the player selected on open orders screen Open orders screen updates dynamically, so if a player is viewing screen and an order is filled, the player will get a notice informing the player that the order has been filled.

The filled order will not longer be displayed on screen Stock graph information screen displays information on the performance of the companies in a players pit over the four weeks before the player begins playing, and in real-time for the four weeks of a players game play. Stock graph information screen comprises a prior month field , a current month field , a zoom field , a key field , and a close button Previous month field displays the performance of the company in a players pit over the four weeks prior to the beginning play.

Current month field displays the performance of the companies in the players pit in real-time for the four weeks of the players game play. Key field represents a key that identifies a particular company's performance. Each company symbol in key field is represented using a different color not visible on FIG. Zoom button enable a player to view the performance of the companies in the players pit in more or less detail.

Option simulation engine is comprised of a game engine , an option market simulation , and a portfolio manager engine Game engine is responsible for keeping track of the game time and the state of the game. Game time engine is responsible for keeping track ofthe elapsed time in the game and for notifying the change of time states to the time related elements in the game.


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The time frame for the options game of the present invention occurs over a period of four simulation weeks. Each week lasts ten minutes with weekends at the end. In a single player game, the player controls the length ofthe weekend. In LAN and Internet game play, the weekend is controlled and lasts for a period of two minutes. Players will not be able to pause the simulation during the week. During the weekend, the game is saved automatically and the user can either exit the game at any time, review the status of the game that is, the week's news, players' positions, etc.

Note that there is no trading over the weekend. Players will be able to fill out order tickets over the weekend, but, as in the real world, these trades will be executed when the market opens on Monday. Game time engine keeps track ofthe following time variables: game time, days of the week, and game days. Game time is the time elapsed since the game started in seconds.

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Day of the week is the day of the week that is currently being played. Game days is the elapsed time since the beginning of the game in days. When the option game of the present invention begins, the game time is zero, day of the week is weekend, and game days is zero. One week of play for the option game of the invention is ten minutes, and thus, one day is equal to two minutes. The weekends count as two days for the game days variable.

Game settings include the game type, such as single player game, LAN-based game or Internet game; game length based on game type ; the companies selected in a player's pit; an all cash portfolio or a portfolio containing pre-set positions; and the length of the weekend in seconds. Game state holds the information about the current state of the game, such as time, days, type of game, list of companies, single players versus multi player. Option market simulation provides a simulated real-world options trading environment. Stock and option prices are driven by semi-random movements of the price of each stock and the effect of news stories about a company.

Basic stock price movement generates these semi-random movements by employing a normal distribution that combines the initial volatility i. A random change is therefore defined as:. Although N is set equal to 10 in the above equation, N is not limited to a value of One skilled in the relevant art s would know that other values for N, such as 20, 30, or 40, could be used without departing from the scope and spirit of the present invention.

A basic stock price movement generated by basic stock price movement is defined as:. As previously stated, stock market simulation is based on semi-random movements of the price of each stock and the effect of news stories. News is the pivotal ingredient in the option game of the present invention. The prices of all stocks and options are linked to news events. The present invention provides news stories about a company as a combination of linear strings and random events. Additionally, this weighted affect is randomized so that if the same story is repeated it will have a different affect.

A news string is a series of one or more stories that happen in a sequential fashion. Each company in a player's pit has associated with it several news strings. News tree is comprised of twelve linear news strings. A first linear news string is comprised of news events , , and A second linear news string is comprised of news events , , and A third linear news string is comprised of news event , , and , and rumor A fourth linear news string is comprised of news events , , and , and rumor A fifth linear news string is comprised of news events and , and rumors and A sixth linear news string is comprised of news events , , and , and rumor A seventh linear news string is comprised of news events , , , , and An eighth linear news string is comprised of news events , , , , and A ninth linear news string is comprised of news events and , and rumor A tenth linear news string is comprised of news events and , and rumor An eleventh linear news string is comprised of news events and , and rumors and A twelfth linear news string is comprised of news events , and , and rumor Event represents the top level news story for a particular company.

Event and rumor represent a second level news story for the same company.

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Events , , , and , and rumor represent third level events for the same company. Events , , , and , and rumors and represent fourth level events for the same company. Events , , and represent fifth level events for the company. A player selects three companies at the beginning of the game to create their pit.

The present invention is not limited to a player selecting three companies. One skilled in the relevant art s would know that more or less companies could be chosen by a player without departing from the scope of the present invention. Once the game starts, the news engine may play a news event or a rumor for one of the three companies at random. This is accomplished using the hat method. The company names selected by a player are placed in a hat.

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The process begins with step where control is immediately passed to step In step , a company is selected by pulling a company name from a hat. Control then passes to step In step a top news story is selected for the company selected in step Control then passes to decision step In step , the selected news story is played. In decision step , it is determined whether the linear news string has played out. If the linear news string has played out, control then passes to step In step a new company is selected.

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Control then passes to step where a 30 second wait is applied. After the 30 second wait, control then passes to step where the process begin again for playing a new news string for a new company. Returning to decision step , if the linear news string has not played out, control then passes to step In step , a 30 second wait is applied. The present invention is not limited to thirty second waits between news events. One skilled in the relevant art s would know that more or less time between news events could be applied without departing from the scope ofthe present invention.

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News stories are divided into the following categories: crash news and company news The probability of generating a crash scenario for the present options game is a one in ten chance every time the game is played. Crash news results in an economic crash that causes all stocks to move downward in price. If a crash scenario is to be generated with the present options game, the crash scenario will begin after the first half of the game has been played. The crash scenario will move the market down approximately twenty percent over a series of trades.

A method for using a set of trades to move a stock price up or down will be described below with reference to FIG. Company news comprises news stories specific to a company, such as earnings, take overs, etc.


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One skilled in the relevant art s would know that other ranges could be used without departing from the scope of the invention. The following table shows how the value of a news story causes a percentage change in the stock price. The stock change range is chosen randomly. The simulation then generates a random series of 5 to 7 trades that result in the randomly chosen percentage change in the price of the stock.


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Again, the hat method is used to determine the number of trades i. The present invention is not limited to 5 to 7 trades. A person skilled in the relevant art s would know that other ranges of trades could be used without departing from the scope of the invention. Company news is comprised of three types of news.

The first type of news is stock news Stock news refers to news events about the company that affect the price of the stock. The second type of company news is earnings news Earnings news represents news events that announce earnings of the company. At week 3 of the options game of the present invention, an earnings news story is generated for each company. At the start of week 3, currently running news stories for a specific company will be completed prior to playing the earnings news story A running average of the affect values of the news events that have occurred within a particular game, for a company is kept by a news manager engine.

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The news earnings story is selected using that running average.