Lawrence Pines is a Princeton University graduate with more than 25 years of experience as an equity and foreign exchange options trader for multinational banks and proprietary trading groups. Mr. Pines has traded on the NYSE, CBOE and Pacific Stock Exchange. In 2011, Mr. Pines started his own consulting firm through which he advises law firms and investment professionals on issues related to trading, and derivatives. Lawrence has served as an expert witness in a number of high profile trials in US Federal and international courts.

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This is consistent with a J.P. Morgan Asset Management report published in 2016, "Staying Invested During Volatile Markets," which found that around 60% of the biggest single-day percentage gains in the S&P 500 occurred within two weeks of one of its top-10 largest percentage declines between 1995 and 2014. This means even if you're lucky enough to hit the nail on the head once in a while, no one has the foresight to correctly predict every major pop and plunge in these major indexes with any consistency.
The basic idea behind the WSC Sector Rotation Strategy is that the economy operates in repetitive cycles. An economic cycle is generally divided into four stages: early expansion, late expansion, early recession and full recession. The stage in which an economy operates has a significant impact on the profitability and prospects of different sectors. Therefore the WSC Sector Rotation Strategy is investing the strongest sectors of the S&P 500 and it is additionally providing an optimal draw down protection during bear markets.
But how profitable is this market timing model? It is difficult to tell. While screening for high-growth stocks according to the CAN SLIM methodology is quite simple with software, the analysis of the market is quite interpretive and typically requires a visual approach. I am not familiar with a specific computerized and back-testable algorithm that is able to emulate this market timing technique. But as reported by the American Association of Individual Investors, the 5-year annualized return of the CAN SLIM stock picking method is 21.9%. That said, how much gain can be had from this isolated market timing technique is not readily available knowledge.
Given the sheer variety of cryptocurrencies you can’t define all of them as securities or all of them as currencies. Instead a much better analogue for cryptocurrencies are real-world commodities, indeed Bitcoin is often referred to as “digital gold” and many cryptocurrencies are “mined” by computers. A commodity is normally free from outside control, barring regulations, and their value is determined by market factors.

American stock exchanges aren't the only ones with extended trading hours. The Hong Kong Stock Exchange, for example, allows for a premarket session from 9:00 a.m. to 9:30 a.m. local time prior to the market opening. The Toronto Stock Exchange gives traders a full hour after the close of the market, from 4:00 p.m. to 5:00 p.m. local time, to do additional trading.

Markets are deceptive…but we all know that.  Beyond deceptive, markets are actually down right diabolical.  Mr. Market operates through his two most trustworthy lieutenants Mr. Bull and Mr. Bear.  He has tasked Mr. Bull to climb and reach the top of the mountain using investors buying power to fuel the rise.  But he has also instructed Mr. Bull to not allow those same investors to complete the journey themselves, he wants to reach the top without them.  It’s a hard job to pull off and Mr Bull needs to use every trick in the book to throw off these investors after they use their money to power the trend upward.  It’s a process that takes time and Mr. Bull’s prime tools are greed and fear in the minds of investors.
Given the sheer variety of cryptocurrencies you can’t define all of them as securities or all of them as currencies. Instead a much better analogue for cryptocurrencies are real-world commodities, indeed Bitcoin is often referred to as “digital gold” and many cryptocurrencies are “mined” by computers. A commodity is normally free from outside control, barring regulations, and their value is determined by market factors.

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The Smart Money Flow Index (SMFI) has been one of the best kept secrets of Wall Street! It was developed by WallStreetCourier.com in 1997 and is a trademark of WallStreetCourier.com. The SMFI provides both short-term traders and long-term investors with a unique indicator to quickly identify major trend reversals as it called every major trend reversal since we are online! The SMFI is published at the end of each day, and it is available to all subscribers. We also provide historical charts as well as a data download (csv-file) for those looking to dig deeper into the data.
Valeriy Zakamulin is Professor of Finance at the School of Business and Law, University of Agder, Norway. He has an M.S. in Business Administration and a PhD in Finance from the Norwegian School of Economics, Norway. He has published articles for various refereed academic and practitioner journals and is a frequent speaker at international conferences. He has also served on the Editorial Board of the Open Economics Journal, Journal of Banking and Finance, and International Journal of Emerging Markets. His current research interests cover behavioral finance, portfolio optimization, time-series analysis of financial data, and stock return and risk predictability.
To understand a company in a better way it is important that one knows the important terms and concept. Nifty Academy is a pioneer in providing knowledge and information in relation. Our blogs and articles comprise of important trading concepts and terms that are helpful to not only new investors but old ones as well. Furthermore, we constantly update the reading material so that the readers never miss anything. Just visit our blogs and articles to enhance the share trading-related information.
Some investors are primarily concerned with identifying large market cycles that endure for years at a time. Yet other traders try to isolate very narrow windows to make quick trades based on mini-market pops and drops which may last only weeks. One system uses a complex set of rules based on price and volume indicators developed by Marc Chaikin. The 10-year total return from this system is 1,388.9% or 30.3% annualized. While this may seem like the world’s greatest investing system ever, I took a closer look at how this system might work for an average investor.

Build a portfolios of leaders by following our proprietary Global ETF Momentum Heat Map which ranks 48 different ETFs according to their underlying trend strengths. Retrieve a weekly updated ranking of the most traded ETFs in the U.S. & Canada. Find out which asset classes ETFs/ETCs (Equity/Commodities/Bonds) in different regions (North America ETFs/Europe ETFs/ EMEA ETFs/Asia Pacific ETFs/Latin America ETFs/Global Emerging Markets ETFs) are gearing up to be the next leader!

The chart below shows two hypothetical investments in the S&P 500 over the 20-year period ending December 31, 2017. Each investor contributed $10,000 every year. One investor somehow managed to pick the very best day (the market low) of each year to invest. The average annual return on that investment would have been 9.95%. The other investor was not so lucky and actually picked the worst day (market high) each year. Even with the worst investment timing, the average annual return would have been 7.76%. At the end of 20 years, the cumulative investment of $200,000 had a value of $456,462.
Trying to navigate the peaks and valleys of market returns, investors seem to naturally want to jump in at the lows and cash out at the highs. But no one can predict when those will occur. Of course we’d all like to avoid declines. The anxiety that keeps investors on the sidelines may save them that pain, but it may ensure they’ll miss the gain. Historically, each downturn has been followed by an eventual upswing, although there is no guarantee that will always happen. Trying to avoid risk could itself be risky, since it’s impossible to know when to get back in.
In contrast to models that follow earnings or trends, William O’Neil tracks the “big money” by following trading cues from institutions. He asserts that you can guess when institutions are selling since the market indices will show high volume without any price advance. He calls these “distribution days” or selling days. If you see four or five of these high volume sell-off days within one trading month, be prepared for a succeeding price drop. In other words, you should sell your equities and be in a cash position for the potential bear phase.
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