Your Next Big AI Investment: Only $16 a Share😱| November 03, 2024

But if you've missed out on those gains - don't worry. [logo]( Trade Strong with us! [---] November 03, 2024 Forget about NVIDIA... META... Or Tesla... These AI Stocks all had massive run-ups already. But if you've missed out on those gains - don't worry. Because there's one tiny AI stock that could mint an entire new class of millionaires. [It pays out 270X more than NVIDIA...]( It's currently trading for only $16... And OpenAI founder Sam Altman admits AI "depends" on this company's work. [Get the ticker here ]( Sincerely, Victoria Tino, Editor Behind the Markets [L. Davidson] [L. Davidson] Bullish Stock Trader is dedicated to bringing exclusive opportunities to our esteemed readers. We highly encourage you to carefully consider the message above from one of our trusted business partners. [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. Major stock exchanges have market makers who help limit price variation (volatility) by buying and selling a particular company's shares on their own behalf and also on behalf of other clients. Stock traders can trade on their own account, called proprietary trading or self-directed trading, or through an agent authorized to buy and sell on the owner's behalf. That agent is referred to as a stockbroker. Agents are paid a commission for performing the trade. Proprietary or self-directed traders who use online brokerages (e.g., Fidelity, Interactive Brokers, Schwab, tastytrade) benefit from commission-free trades. Professional stock traders who work for a financial company are required to complete an internship of up to four months before becoming established in their career field. In the United States, for example, internship is followed up by taking and passing a Financial Industry Regulatory Authority-administered Series 63 or 65 exam. Stock traders who pass demonstrate familiarity with U.S. Securities and Exchange Commission (SEC) compliant practices and regulation. Stock traders with experience usually obtain a four-year degree in a financial, accounting or economics field after licensure. Supervisory positions as a trader may usually require an MBA for advanced stock market analysis. Benoît Mandelbrot during his speech at the ceremony when he was made an officer of the Legion of Honour on September 11, 2006, at the École Polytechnique; here, with a display of the Mandelbrot set. In 1963 Benoit Mandelbrot analyzed the variations of cotton prices on a time series starting in 1900. There were two important findings. First, price movements had very little to do with a normal distribution in which the bulk of the observations lies close to the mean (68% of the data are within one standard deviation). Instead, the data showed a great frequency of extreme variations. Second, price variations followed patterns that were indifferent to scale: the curve described by price changes for a single day was similar to a month's curve. Surprisingly, these patterns of self-similarity were present during the entire period from 1900 to 1960, a violent epoch that had seen a Great Depression and two world wars. Mandelbrot used his fractal theory to explain the presence of extreme events in Wall Street. In 2004 he published his book on the "misbehavior" of financial markets The (Mis)behavior of Markets: A Fractal View of Risk, Ruin, and Reward. The basic idea that relates fractals to financial markets is that the probability of experiencing extreme fluctuations (like the ones triggered by herd behavior) is greater than what conventional wisdom wants us to believe. This of course delivers a more accurate vision of risk in the world of finance. The central objective in financial markets is to maximize income for a given level of risk. Standard models for this are based on the premise that the probability of extreme variations of asset prices is very low. Risks and other costs The U.S. Bureau of Labor Statistics (BLS) reported that growth for stock and commodities traders was forecast to be greater than 21% between 2006 and 2016. In that period, stock traders would benefit from trends driven by pensions of baby boomers and their decreased reliance on Social Security. U.S. Treasury bonds would also be traded on a more fluctuating basis. Stock traders just entering the field suffer since few entry-level positions exist. While entry into this career field is very competitive, increased ownership of stocks and mutual funds drive substantial career growth of traders. Banks were also offering more opportunities for people of average means to invest and speculate in stocks. The BLS reported that stock traders had median annual incomes of $68,500. Experienced traders of stocks and mutual funds have the potential to earn more than $145,600 annually. 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: Jérôme Kerviel in 2015 Jérôme Kerviel (Société Générale) and Kweku Adoboli (UBS), two rogue traders, worked in the same type of position, the delta one desk: a table where derivatives are traded, and not single stocks or bonds. These types of operations are relatively simple and often reserved for novice traders who also specialize in exchange-traded funds (ETFs), financial products that mimic the performance of an index (i.e. either upward or downward). As they are easy to use, they facilitate portfolio diversification through the acquisition of contracts backed by a stock index or industry (e.g. commodities). The two traders were very familiar to control procedures. They worked in the back office, the administrative body of the bank that controls the regularity of operations, before moving to trading. According to the report of the Inspector General of Societe Generale, in 2005 and 2006 Kerviel "led" by taking 100 to 150 million-euro positions on the shares of SolarWorld listed in Germany. Moreover, the "unauthorized trading" of Kweku Adoboli, similar to Kerviel, did not date back a long way. Adoboli had executed operations since October 2008; his failure and subsequent arrest occurred in 2011.[4] Day trading sits at the extreme end of the investing spectrum from conventional buy-and-hold wisdom. It is the ultimate market-timing strategy. While all the attention that day trading attracts seems to suggest that the theory is sound, critics argue that, if that were so, at least one famous money manager would have mastered the system and claimed the title of "the Warren Buffett of day trading". The long list of successful investors that have become legends in their own time, where George Soros rivals Warren Buffett for the title of most successful stock investor of all time, does not include a single individual that built his or her reputation by day trading. 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.