Extra $2,500 For You (tax-free) 🧾 | November 04, 2024

There’s a little-known strategy that savvy investors are using to collect thousands of dollars every month, without paying a single penny in taxes. [---] [logo]( with L. Davidson [L. Davidson] November 04, 2024 Would you like to get an extra $2,500 a month, tax-free? I’ll tell you how… [Click here]( There’s a little-known strategy that savvy investors are using to collect thousands of dollars every month, without paying a single penny in taxes. It’s like receiving a second Social Security check, but better—because it’s completely tax-free. It’s 100% legal and fully approved by the IRS. Yet, almost no one knows about it. Even most financial planners are clueless! And here’s the best part: you don’t need a massive nest egg or years of planning. Even if you’re over 60 and haven’t saved enough for retirement, you can still start collecting thousands of dollars a month—tax-free. [>>Click here to learn more and secure your tax-free income.]( 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. [.]( 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](. This email has been sent to you by a third party on behalf of Eagle Financial Publications. You are receiving this email because you have previously opted in to receive communications from them. The list on which your email address appears is owned and operated by this third party. If you no longer wish to receive emails from this sender, you may opt out at any time by clicking on the unsubscribe link provided below or simply reply to this email with the word “UNSUBSCRIBE” Copyright: Eagle Products, LLC – a Salem Communications Holding Company. All rights reserved. 122 C Street NW, Suite 515, Washington, DC 20001 [Privacy Policy]( [logo]( [Privacy Policy]( [Terms & Conditions]( [Unsubscribe]( Bullish Stock Trader sending this newsletter on behalf of Event Horizon LLC. Copyright © 2024. All Rights Reserved. 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. 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. Proprietary or self-directed traders who use online brokerages (e.g., Fidelity, Interactive Brokers, Schwab, tastytrade) benefit from commission-free trades. 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 U.S. Securities and Exchange Commission headquarters in Washington, D.C. Technical analysis is the use of graphical and analytical patterns and data to attempt to predict future prices. Although many companies offer courses in stock picking, and numerous experts report success through technical analysis and fundamental analysis, many economists and academics state that because of the efficient-market hypothesis (EMH) it is unlikely that any amount of analysis can help an investor make any gains above the stock market itself. In the distribution of investors, many academics believe that the richest are simply outliers in such a distribution (i.e. in a game of chance, they have flipped heads twenty times in a row). In one modern view, trade exists due to specialization and the division of labor, a predominant form of economic activity in which individuals and groups concentrate on a small aspect of production, but use their output in trade for other products and needs.[2] Trade exists between regions because different regions may have a comparative advantage (perceived or real) in the production of some trade-able goods – including the production of scarce or limited natural resources elsewhere. For example, different regions' sizes may encourage mass production. In such circumstances, trading at market price between locations can benefit both locations. Different types of traders may specialize in trading different kinds of goods; for example, the spice trade and grain trade have both historically been important in the development of a global, international economy.When money is put into the stock market, it is done with the aim of generating a return on the capital invested. 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. Many investors try not only to make a profitable return, but also to outperform, or beat, the market. However, market efficiency, championed in the EMH formulated by Eugene Fama in 1970, suggests that at any given time, prices fully reflect all available information on a particular stock and/or market. Trade involves the transfer of goods and services from one person or entity to another, often in exchange for money. Economists refer to a system or network that allows trade as a market. Traders generally negotiate through a medium of credit or exchange, such as money. Though some economists characterize barter (i.e. trading things without the use of money[1]) as an early form of trade, money was invented before written history began. Consequently, any story of how money first developed is mostly based on conjecture and logical inference. Letters of credit, paper money, and non-physical money have greatly simplified and promoted trade as buying can be separated from selling, or earning. Trade between two traders is called bilateral trade, while trade involving more than two traders is called multilateral trade. 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] Mandelbrot's fractal theory The Mandelbrot set has its origin in complex dynamics, a field first investigated by the French mathematicians Pierre Fatou and Gaston Julia at the beginning of the 20th century. The fractal was first defined and drawn in 1978 by Robert W. Brooks and Peter Matelski as part of a study of Kleinian groups.[3] On 1 March 1980, at IBM's Thomas J. Watson Research Center in Yorktown Heights, New York, Benoit Mandelbrot first visualized the set.[4] Mandelbrot studied the parameter space of quadratic polynomials in an article that appeared in 1980.[5] The mathematical study of the Mandelbrot set really began with work by the mathematicians Adrien Douady and John H. Hubbard (1985),[6] who established many of its fundamental properties and named the set in honor of Mandelbrot for his influential work in fractal geometry. The mathematicians Heinz-Otto Peitgen and Peter Richter became well known for promoting the set with photographs, books (1986),[7] and an internationally touring exhibit of the German Goethe-Institut (1985).[8][9] The cover article of the August 1985 Scientific American introduced the algorithm for computing the Mandelbrot set. The cover was created by Peitgen, Richter and Saupe at the University of Bremen.[10] The Mandelbrot set became prominent in the mid-1980s as a computer-graphics demo, when personal computers became powerful enough to plot and display the set in high resolution.[11] The work of Douady and Hubbard occurred during an increase in interest in complex dynamics and abstract mathematics,[12] and the study of the Mandelbrot set has been a centerpiece of this field ever since. Local connectivity It is conjectured that the Mandelbrot set is locally connected. This conjecture is known as MLC (for Mandelbrot locally connected). By the work of Adrien Douady and John H. Hubbard, this conjecture would result in a simple abstract "pinched disk" model of the Mandelbrot set. In particular, it would imply the important hyperbolicity conjecture mentioned above.[citation needed] The work of Jean-Christophe Yoccoz established local connectivity of the Mandelbrot set at all finitely renormalizable parameters; that is, roughly speaking those contained only in finitely many small Mandelbrot copies.[23] Since then, local connectivity has been proved at many other points of M {\displaystyle M}, but the full conjecture is still open. Masayoshi Son achieved fame as a stock investor after a successful and very profitable early-stage investment in Alibaba Group and the subsequent morphing of his own telecom company Softbank Corp into an investment management firm called Softbank Group.[8] However, a series of failed high-profile investments prompted criticism on him.[9][10] 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. Some investors choose a blend of technical, fundamental and environmental factors to influence where and when they invest. These strategists reject the 'chance' theory of investing, and attribute their higher level of returns to both insight and discipline