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[logo]( [.]( For personalized assistance or inquiries, kindly respond to this email for a prompt reply. For non urgent questions, reach out to us at support@bullishstocktrader.com This offer is brought to you by Bullish Stock Trader, 435 N Dupont Hwy, Dover, DE 19901, United States. If you would like to unsubscribe from receiving offers brought to you by Bullish Stock Trader [click here](. Bullish Stock Trader sending this newsletter on behalf of Event Horizon LLC. Copyright © 2024. All Rights Reserved. [Privacy Policy]( [Terms & Conditions]( [Unsubscribe]( A stock trader or equity trader or share trader, also called a stock investor, is a person or company involved in trading equity securities and attempting to profit from the purchase and sale of those securities.[1][2] Stock traders may be an investor, agent, hedger, arbitrageur, speculator, or stockbroker. Such equity trading in large publicly traded companies may be through a stock exchange. Stock shares in smaller public companies may be bought and sold in over-the-counter (OTC) markets or in some instances in equity crowdfunding platforms. Stock trading as a profession/career U.S. Securities and Exchange Commission headquarters in Washington, D.C. Stock traders may advise shareholders and help manage portfolios. Traders engage in buying and selling bonds, stocks, futures and shares in hedge funds. A stock trader also conducts extensive research and observation of how financial markets perform. This is accomplished through economic and microeconomic study; consequently, more advanced stock traders will delve into macroeconomics and industry specific technical analysis to track asset or corporate performance. Other duties of a stock trader include comparison of financial analysis to current and future regulation of his or her occupation. Crowd gathering on Wall Street after the Wall Street Crash of 1929 Contrary to a stockbroker, a professional who arranges transactions between a buyer and a seller, and gets a guaranteed commission for every deal executed, a professional trader may have a steep learning curve and his ultra-competitive performance based career may be cut short, especially during generalized stock market crashes. Stock market trading operations have a considerably high level of risk, uncertainty and complexity, especially for unwise and inexperienced stock traders/investors seeking an easy way to make money quickly. In addition, trading activities are not free. Stock speculators/investors face several costs such as commissions, taxes and fees to be paid for the brokerage and other services, like the buying/selling orders placed through a stock broker stock exchange. Depending on the nature of each national or state legislation involved, a large array of fiscal obligations must be respected, and taxes are charged by jurisdictions over those transactions, dividends and capital gains that fall within their scope. However, these fiscal obligations will vary from jurisdiction to jurisdiction. Among other reasons, there could be some instances where taxation is already incorporated into the stock price through the differing legislation that companies have to comply with in their respective jurisdictions; or that tax free stock market operations are useful to boost economic growth. In the United States, for example, stock gains are generally taxed at two levels: For long-term capital gains (stocks sold after a minimum of one year's ownership, the tax rate currently (2024) is 20%. For short-term trades (stocks bought and sold within a 12-month period, capital gains are taxed at one's ordinary tax rate (e.g., 28%, 30%, 35%). Beyond these costs are the opportunity costs of money and time, currency risk, financial risk, and Internet, data and news agency services and electricity consumption expenses—all of which must be accounted for. These models rely on the assumption that asset price fluctuations are the result of a well-behaved random or stochastic process. This is why mainstream models (such as the famous Black–Scholes model) use normal probabilistic distributions to describe price movements. For all practical purposes, extreme variations can be ignored. Mandelbrot thought this was an awful way to look at financial markets. For him, the distribution of price movements is not normal and has the property of kurtosis, where fat tails abound. This is a more faithful representation of financial markets: the movements of the Dow index for the past hundred years reveals a troubling frequency of violent movements. Still, conventional models used by the time of the 2008 financial crisis ruled out these extreme variations and considered they can only happen every 10,000 years[citation needed]. An obvious conclusion from Mandelbrot's work is that greater regulation in financial markets is indispensable. Other contributions of his work for the study of stock market behaviour are the creation of new approaches to evaluate risk and avoid unanticipated financial collapses.[3] Tenets of Fractal Finance Mandelbrot delves into several key principles of fractal finance in The Misbehavior of Markets: A Fractal View of Financial Turbulence: Warren Buffett became known as one of the most successful and influential stock investors in history. His approach to investing is almost impossible for individual investors to duplicate because he uses leverage and a long-term approach that most people lack the will to follow.[7]Even Michael Steinhardt, who made his fortune trading in time horizons ranging from 30 minutes to 30 days, claimed to take a long-term perspective on his investment decisions. From an economic perspective, many professional money managers and financial advisors shy away from day trading, arguing that the reward simply does not justify the risk. Attempting to make a profit is the reason investors invest, and buy low and sell high is the general goal of most investors (although short-selling and arbitrage take a different approach, the success or failure of these strategies still depends on timing). The problems with mutual fund trading that cast market timing in a negative light occurred because the prospectuses written by the mutual fund companies strictly forbid short-term trading. Despite this prohibition, special clients were allowed to do it anyway. So, the problem was not with the trading strategy but rather with the unethical and unfair implementation of that strategy, which permitted some investors to engage in it while excluding others. All of the world's greatest investors rely, to some extent, on market timing for their success. Whether they base their buy-sell decisions on fundamental analysis of the markets, technical analysis of individual companies, personal intuition, or all of the above, the ultimate reason for their success involves making the right trades at the right time. In most cases, those decisions involve extended periods of time and are based on buy-and-hold investment strategies. Value investing is a clear example, as the strategy is based on buying stocks that trade for less than their intrinsic values and selling them when their value is recognized in the marketplace. Most value investors are known for their patience, as undervalued stocks often remain undervalued for significant periods of time. One study analyzing trades from 2000 to 2016 found elite traders were better than random chance at buying stocks, but worse than random chance when selling, perhaps because they did not track post-sale performance, and spent more time thinking about buying than selling.[21] In order to successfully address[18] all the shortcomings, doubts, fallacies, noise and bureaucratic bottlenecks associated with stock investing, like unchecked speculation and fraud as well as imperfect information, excessive risk and costs, stock investor John Clifton "Jack" Bogle (1929 – 2019) became world-renowned for founding the American investment fund manager Vanguard Group in 1975, and for designing the first index replication fund. Bogle studied economics at Princeton University, specializing in mutual funds, and early on demonstrated a strong inclination toward the principles of passive stock management on which he later built the Vanguard Group. Bogle felt that it would be virtually impossible for an investor to consistently beat the stock market, and that the potential gains made are usually diluted by the heavy cost structure associated with security selection - number of transactions - resulting in a below-average return. Based on this principle, he designed the first index fund, allowing his investors to access the entire market in a simple, comprehensive way and at extremely competitive costs.[19] Certain emotions like greed, fear and regret play important roles in the trading process. Greed is defined as excessive desire to accumulate more wealth. It can be both beneficial or destructing depending on how a trader utilize it in different situations. It has positive results in the bull market. The longer a trader stays on the game, the greater wealth he can gather. However, it is destructive when suddenly a bear market strikes in. Fear on the other hand is the exact opposite to greed. It is the one that holds back a trader in taking the steps in the trading process. And like greed, it can be both destructive and useful depending on the situation of the market. Regret is another emotion a trader must take careful consideration. There are many traders who jumped into the trading process because of regret and finally finding themselves losing more money in the process.[citation needed] In order to manage the cross-current of these conflicting emotions, it may be useful to develop a trading or investing discipline that relies on more objective measures on which to base buying and selling decisions. One popular example is to base trading decisions on the trend direction of a stock's price action. There are basically three directions a stock can trend in: up, down, and level or flat. These trends are determined by using certain technical indicators such as candlesticks, moving averages, bollinger bands, standard deviation tunnels. These indicators (and others) should be used in different time frames. 2024-03-04 13:01:04 +00:00 Nov 7, 2024