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Several models have been developed in order to systematically interpret market conditions, price movement, and investor behaviors.(Saglam, Moallemi & Sotiropoulos, 2016) supported that the disregard of the heterogeneity of short term trading expands the potential for the quantification of execution quality in short term predictive models.(Diether, Lee & Werner, 2009) presented that traders who purchase stocks that are characterized by low short-selling activity and sell short stocks that reflect high short-selling activity generate abnormal returns of approximately 1.39% (1.41%) monthly for New York Stock Exchange (NYSE) stocks.Stable equilibria in the market may be assessed according to informational efficiency, volatility, and liquidity.The 2% Rule sets a 2% maximum loss per trade limit.The 6% Rule establishes 6% monthly drawdown cutoffs that have the capacity to break losing streaks.Short term trading has become of particular interest to issuers, academic institutions, the Securities and Exchange Commission (SEC), and representatives of the media.Following economic crises, investors often return to the drawing board to reassess stock market conditions and existing market theory.

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(Cespa & Vives, 2014) presented that market prices reflect the investor’s average expectations in regard to the basic information and liquidity trades.The risks and rewards of short term trading entice a small unique community of traders, while averting others.The short term strategy for trading stocks is zero-sum methodology that has the potential to invoke early retirement or staggering, systematic economic loss.Further, an iron triangle of control is often used as a stop for short term investing in which point A sets the maximum risk for an account, point B sets the limit of risk per share, and point C sets the maximum number of shares.Studies of trading behaviors provide platforms for economic and financial accounting theory that is used as public information for high-level decision making.

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