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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.
Short term trading can be risky and unpredictable due to the volatile nature of the stock market at times. Within the time frame of a day and a week many factors can have a major effect on a stock's price. Company news, reports, and consumer’s attitudes can all have a positive or negative effect on the stock going up or down.
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Order flow analysis allows traders to see what type of orders are being placed at a certain time in the market, e.g. the amount of Buy and Sell orders at a given price point. [3] Traders can use Order Flow analysis to see the subsequent impact on the price of the market by these orders and therefore make predictions on the future price and ...
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.
In securities trading, an order book contains the list of buy orders and the list of sell orders. For each entry it must keep among others, some means of identifying the party (even if this identification is obscured, as in a dark pool), the number of securities and the price that the buyer or seller are bidding/asking for the particular security.
This includes products such as stocks, bonds, currencies, commodities, derivatives and others, with a financial intermediary such as brokers, market makers, Investment banks or stock exchanges. Such platforms allow electronic trading to be carried out by users from any location and are in contrast to traditional floor trading using open outcry ...
Such orders may offer a profit to their counterparties that high-frequency traders can try to obtain. Examples of these features include the age of an order [54] or the sizes of displayed orders. [55] Tracking important order properties may also allow trading strategies to have a more accurate prediction of the future price of a security.