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According to Masteika and Rutkauskas (2012), when viewing a stock's chart pattern over a few days, the investor should buy shortly after the highest chart bar and then place a trailing stop order which lets profits run and cuts losses in response to market price changes (p. 917–918). [3]
Trailing stop sell orders are used to maximize and protect profit as a stock's price rises and limit losses when its price falls. For example, a trader has bought stock ABC at $10.00 and immediately places a trailing stop sell order to sell ABC with a $1.00 trailing stop (10% of its current price). This sets the stop price to $9.00.
Optimal stopping problems can be found in areas of statistics, economics, and mathematical finance (related to the pricing of American options). A key example of an optimal stopping problem is the secretary problem.
A stop price is the price in a stop order that triggers the creation of a market order. In the case of a Sell on Stop order, a market sell order is triggered when the market price reaches or falls below the stop price. For Buy on Stop orders, a market buy order is triggered when the market price of the stock rises to or above the stop price.
Many short sellers place a stop order with their stockbroker after selling a stock short—an order to the brokerage to cover the position if the price of the stock should rise to a certain level. This is to limit the loss and avoid the problem of unlimited liability described above.
Order flow trading is a type of trading strategy and form of analysis used by traders on the markets, other popular forms of market/trading analysis include technical analysis, sentiment analysis and fundamental analysis. [1] Order flow trading is the process of analysing the flow of trades being placed by other traders on a specific market. [2]
Graphs of probabilities of getting the best candidate (red circles) from n applications, and k/n (blue crosses) where k is the sample size. The secretary problem demonstrates a scenario involving optimal stopping theory [1] [2] that is studied extensively in the fields of applied probability, statistics, and decision theory.