Nasdaq Quotes

The three of us exchanged glances but said nothing. After all, what was there to say? The truth was that hookers did take credit cards—or at least ours did! In fact, hookers were so much a part of the Stratton subculture that we classified them like publicly traded stocks: Blue Chips were considered the top-of-the-line hooker, zee crème de la crème. They were usually struggling young models or exceptionally beautiful college girls in desperate need of tuition or designer clothing, and for a few thousand dollars they would do almost anything imaginable, either to you or to each other. Next came the NASDAQs, who were one step down from the Blue Chips. They were priced between three and five hundred dollars and made you wear a condom unless you gave them a hefty tip, which I always did. Then came the Pink Sheet hookers, who were the lowest form of all, usually a streetwalker or the sort of low-class hooker who showed up in response to a desperate late-night phone call to a number in Screw magazine or the yellow pages. They usually cost a hundred dollars or less, and if you didn’t wear a condom, you’d get a penicillin shot the next day and then pray that your dick didn’t fall off. Anyway, the Blue Chips took credit cards, so what was wrong with writing them off on your taxes? After all, the IRS knew about this sort of stuff, didn’t they? In fact, back in the good old days, when getting blasted over lunch was considered normal corporate behavior, the IRS referred to these types of expenses as three-martini lunches! They even had an accounting term for it: It was called T and E, which stood for Travel and Entertainment. All I’d done was taken the small liberty of moving things to their logical conclusion, changing T and E to T and A: Tits and Ass!

Hassan can watch, aghast, as databanks at NASDAQ graph hard data and chart a NASDAQ crash - a sharp fall that alarms staff at a Manhattan bank. Hassan acts fast, ransacks cashbags at a mad dash, and grabs what bank drafts a bank branch at Casablanca can cash: marks, rands and bahts. Hassan asks that an adman draft a want ad that can hawk what canvas art Hassan has (a Cranach, a Cassatt and a Chagall).

Millions wish for financial freedom, but only those that make it a priority have millions.

The only reason to save money is to invest it.

Mayflower-Plymouth has created The Permaculture Index as an alternative to the Dow Jones Industrial Average, the S&P, the Nasdaq and the Nikkei. The purpose of The Permaculture Index is to provide a more holistic representation of the health of the economy. And then we have several sub-indices which aim to present a more holistic representation of specific markets.

that the power of technology will keep increasing, while the price for this power will keep decreasing. With Moore’s Law proving to be a reality, it is easier to understand the recent price increases of stocks in the technology sector. Tacking onto this price increase is the realization that perhaps never before have we had this confluence of events: a technological revolution that is industrial revolution sized, and a new type of stock market to trade the stocks, which is the Nasdaq market. This is a major story. This book covers

Instead, she focused her gaze on some middle distance as the Haruspex called out a series of numbers and letters—stock symbols and share prices for companies traded publicly on the New York Stock Exchange. Later in the night he’d move on to the NASDAQ, Euronext, and the Asian markets. Alex didn’t bother trying to decipher them. The orders to buy, sell, or hold were given in impenetrable Dutch, the language of commerce, the first stock exchange, old New York, and the official language of the Bonesmen. When Skull and Bones was founded, too many students knew Greek and Latin. Their dealings had required something more obscure.

I returned to our surveillance. The houses around us reminded me of Ryan Kessler’s place. About every fifth one was, if not identical, then designed from the same mold. We were staring through bushes at a split-level colonial, on the other side of a dog-park-cum-playground. It was the house of Peter Yu, the part-time professor of computer science at Northern Virginia College and a software designer for Global Software Innovations. The company was headquartered along the Dulles “technology corridor,” which was really just a dozen office buildings on the tollway, housing corporations whose claim to tech fame was mostly that they were listed on the NASDAQ stock exchange. I

After months of calling for inflation of housing prices, Krugman in 2002 came right out and said the Fed needed to create a housing bubble. Since 2007, Krugman has repeatedly and angrily denied that was what he was saying, so let me run his comments in their full context: A few months ago the vast majority of business economists mocked concerns about a “double dip,” a second leg to the downturn. But there were a few dogged iconoclasts out there, most notably Stephen Roach at Morgan Stanley. As I’ve repeatedly said in this column, the arguments of the double-dippers made a lot of sense. And their story now looks more plausible than ever. The basic point is that the recession of 2001 wasn’t a typical postwar slump, brought on when an inflation-fighting Fed raises interest rates and easily ended by a snapback in housing and consumer spending when the Fed brings rates back down again. This was a prewar-style recession, a morning after brought on by irrational exuberance. To fight this recession the Fed needs more than a snapback; it needs soaring household spending to offset moribund business investment. And to do that, as Paul McCulley of Pimco put it, Alan Greenspan needs to create a housing bubble to replace the Nasdaq bubble.6 Well, Krugman got exactly what he wanted.

Alan Greenspan needs to create a housing bubble to replace the Nasdaq bubble,” cried New York Times columnist Paul Krugman in 2002.8 And that’s exactly what Greenspan did. Much of the new cash that flooded into the market as a result of his policies went into real estate, where small fluctuations in interest rates have a huge impact on prices.

Greetings, Commissioner Nasdaq,” replied the terminal. “Shall we play a game? A good game of chess perhaps? Or maybe a simulation of global thermonuclear war?

There were several immediate reasons for the stock market’s reversal. The excesses of the dot-com boom had begun to wear on investors. Companies without actual business models were raising hundreds of millions of dollars, rushing to go public, and seeing their stock prices roar into the stratosphere despite unsound financial footing. In March of 2000, a critical cover story in Barron’s pointed out the self-destructive rate at which Web companies like Amazon were burning through their venture capital. The dot-com boom had been built largely on faith that the market would give these young, unprofitable companies plenty of room to mature; the Barron’s story reinforced fears that a day of reckoning was coming. The NASDAQ peaked on March 10,

how rich you’d be today had you liquidated your portfolio at the height of the NASDAQ bubble).

2. Don’t trade penny stocks. A penny stock is any stock that trades under $5. Unless you are an advanced trader, you should avoid all penny stocks. I would extend this by encouraging you to also avoid all stocks priced under $10. Even if you have a small trading account ($5,000) or less, you are better off buying fewer shares of a higher-priced stock than a lot of shares of a penny stock. That is because low-priced stocks are most often associated with lower quality companies. As a result, they are not usually allowed to trade on the NYSE or the Nasdaq. Instead, they trade on the OTCBB ("over the counter bulletin board") or Pink Sheets, both of which have much less stringent financial reporting requirements than the major exchanges do. Many of these companies have never made a profit. They may be frauds or shell companies that are designed solely to enrich management and other insiders. They may also include former “blue chips” that have fallen on hard times like Eastman Kodak or Lehman Brothers. In addition, penny stocks are inherently more volatile than higher-priced stocks. Think of it this way: if a $100 stock moves $1, that is a 1% move. If a $5 stock moves $1, that is a 20% move. Many new traders underestimate the kind of emotional and financial damage that this kind of volatility can cause. In my experience, penny stocks do not trend nearly as well as higher-priced stocks. They tend to be more mean-reverting (Mean reversion occurs when a stock moves up sharply from its average trading price, only to fall right back down again to its average trading price). Many of them are eventually headed to zero, but they are still not good short candidates. Most brokers will not let you short them. And even if you do find a broker who will let you short a penny stock, how would you like to wake up to see your penny stock trading at $10 when you just shorted it at $2 a few days before? I learned that lesson the hard way. It turned out that I was risking $8 to make $2, which is not a good way to make money over the long term. To add injury to insult, a penny stock might appear to be liquid one day, and the next day, the liquidity dries up and you are confronted by a $2 bid/ask spread. Or the bid might completely disappear. Imagine owning

Whatever the reason, the existence of some persistent investment factors is today accepted by almost every (if not all) financial economist and investor. In an ingenious bit of marketing, factors are often called “smart beta.” Sharpe himself grew to hate the term, as it implies that all other forms of beta are dumb.10 Most financial academics prefer the term “risk premia,” to more accurately reflect the fact that they think these factors primarily yield an investment premium from taking some kind of risk—even if they cannot always agree what the precise risk is. An important milestone was when Fama and his frequent collaborator Ken French—another Chicago finance professor who would later also join DFA—in 1992 published a paper with the oblique title “The Cross-Section of Expected Stock Returns.”11 It was a bombshell. In what would become known as the three-factor model, Fama and French used data on companies listed on the NYSE, the American Stock Exchange, and the Nasdaq from 1963 to 1990 and showed that both value (the tendency of cheap stocks to outperform expensive ones) and size (the tendency of smaller stocks to outperform bigger ones) were distinct factors from the broader market factor—the beta. Although Fama and French’s paper termed these factors as rewards for taking extra risks, coming from the father of the efficient-markets hypothesis, it was a signal event in the history of financial economics.12 Since then academics have identified a panoply of factors, with varying degrees of durability, strength, and acceptance. Of course, factors do not always work. They can go through long fallow stretches where they underperform the market. Value stocks, for example, suffered a miserable bout of performance in the dotcom bubble, when investors wanted to buy only trendy technology stocks. And to DFA’s chagrin, after small caps enjoyed a robust year in DFA’s first year of existence, they would then undergo a long, painful seven-year period of trailing dramatically behind the S&P 500.13 DFA managed to keep growing, losing very few clients, partly because it had always stressed to them that stretches like this could happen. But it was an uncomfortable period that led to many awkward conversations with clients.

The NASDAQ Composite Index, containing mostly technology shares, soared from 500 in April 1991 to 1,000 in July 1995, surpassing 2,000 in July 1998, and finally peaking at 5,132 in March 2000. The stock market boom reinforced consumer confidence, which also reached new highs, and provided a strong impetus for investment, especially in the booming telecom and high-tech sectors. The next few years confirmed suspicions that the numbers were unreal, as the stock market set new records for declines. In the next two years, $8.5 trillion were wiped off the value of the firms on America’s stock exchange alone—an amount exceeding the annual income of every country in the world, other than the United States. One

The Great Bubble ended on March 10, 2000 (though we didn’t realize that fact until some months later). On that day, the NASDAQ (recently 1,731) hit its all-time high of 5,132. That same day, Berkshire shares traded at $40,800, their lowest price since mid-1997.

detect a market top, keep a close eye on the daily S&P 500, NYSE Composite, Dow 30, and Nasdaq Composite as they work their way higher. On one of the days in the uptrend, volume for the market as a whole will increase from the day before, but the index itself will show stalling action (a significantly smaller price increase for the day compared with the prior day’s much larger price increase). I call this “heavy volume without further price progress up.” The average doesn’t have to close down for the day, but in most instances it will, making the distribution (selling) much easier to see, as professional investors liquidate stock. The spread from the average’s daily high to its daily low may in some cases be a little wider than on previous days.

Persson did not create Minecraft because he wanted to create a billion-dollar company; he loved video games and kept his day job while developing it. When the game soared in popularity, he started a company, Mojang, with some of the profits, but kept it small, with just 12 employees. Even with zero dollars spent on marketing and no user instructions, Minecraft grew exponentially, flying past the 100 million registered user mark in 2014 based largely on word of mouth.2 Players shared user-generated extras like modifications (“mods”) and custom maps with each other, and the game caught on not only with children but their parents and even educators. Still, Persson avoided the valuation game, refusing an investment offer from former Facebook president Sean Parker. Finally, he and his co-founders sold Mojang to Microsoft for $2.5 billion, a fortune built on one man’s focus on creating something that people loved.3 On the other end of the spectrum is Zynga, one of the fastest startups ever to reach a $1 billion valuation.4 The social game developer had its first hit in 2009 with FarmVille. Next came Zynga’s partnership with Facebook that turned into a growth engine. The company began trading on the NASDAQ in December 2011 and had 253 million active users per month as late as the first quarter of 2013.5 Then the relationship with Facebook ended and the wheels started coming off. Flush with IPO cash, Zynga started exhibiting all the symptoms of ego-driven, grow-at-any-cost syndrome. They moved into a $228 million headquarters in San Francisco. They began hastily acquiring companies like NaturalMotion, Newtoy, and Area/Code. They infuriated customers by launching new games without sufficient testing and filling them with scripts that signed players up for unwanted subscriptions and services. When customer outrage went viral, instead of focusing on building better products, Zynga hired a behavioral psychologist to try to trick customers into loving its games.6 In a 2009 speech at Startup@Berkeley, CEO Mark Pincus said, “I funded [Zynga] myself but I did every horrible thing in the book to just get revenues right away. I mean, we gave our users poker chips if they downloaded this Zwinky toolbar, which . . . I downloaded it once — I couldn’t get rid of it. We did anything possible just to just get revenues so that we could grow and be a real business.”7 By the spring of 2016, Zynga had laid off about 18 percent of its workforce and its share price had declined from $14.50 in 2012 to about $2.50.

o n o f R a t i o n a l S o f t w a r e C o r p o r a t i o n i s t o e n s u r e t h e s u c c e s s o f c u s t o m e r s c o n s t r u c t i n g t h e s o f t w a r e s y s t e m s t h a t t h e y d e p e n d o n . We enable our customers to achieve their business objectives by turning software into a source of competitive advantage, speeding time-to-market, reducing the risk of failure, and improving software quality. We fulfill our mission with the Rational ApproachTM, a comprehensive softwareengineering solution consisting of three elements: • A configurable set of processes and techniques for the development of software, based on iterative development, object modeling, and an architectural approach to software reuse. • An integrated family of application construction tools that automate the Rational Approach throughout the software lifecycle. • Technical consulting services delivered by our worldwide field organization of software engineers and technical sales professionals. Our customers include businesses in the Asia/Pacific region, Europe, and North America that are leaders in leveraging semiconductor, communications, and software technologies to achieve their business objectives. We serve customers in a diverse range of industries, such as telecommunications, banking and financial services, manufacturing, transportation, aerospace, and defense.They construct software applications for a wide range of platforms, from microprocessors embedded in telephone switching systems to enterprisewide information systems running on company-specific intranets. Rational Software Corporation is traded on the NASDAQ system under the symbol RATL.1

I nostri cinque peccati che scoraggiano ricerca e innovazione Dalla politica all’università, il sistema italiano continua a ostacolare l’economia della conoscenza Start-up al palo Dai laboratori al business: in Italia è ancora difficile riuscire a trasferire le scoperte teoriche nell’industria Riccardo Viale | 831 parole Da quando è stato introdotto il concetto di economia e di società della conoscenza, come importante elemento delle politiche pubbliche, si è iniziato ad analizzare l’insieme delle condizioni di contorno - le «framework condition» - in grado di stimolare o di ostacolare lo sviluppo di questo modello. La strategia di Lisbona del 2000 aveva lo scopo di rendere l’Europa l’area più competitiva a livello mondiale proprio come economia e società della conoscenza. Oggi abbiamo i risultati: in media c’è stato un arretramento, secondo la maggior parte degli indicatori, rispetto ai principali concorrenti internazionali. E l’Italia? Come si può immaginare, non ha realizzato alcun serio passo in avanti: non solo per le condizioni dirette (come finanziamento alla ricerca, numero di ricercatori e di brevetti, indici bibliometrici o rapporto università-impresa), ma per le «framework conditions». Ma più che dare dati vorrei riferirmi ad una serie di situazioni tipiche, ragionando con il modello degli incentivi dal macro al micro. Per mostrare come la dinamica sociale ed economica italiana sia intrisa di incentivi negativi. La logica del breve termine Innanzitutto, a livello di sistema politico e di governo nazionale e regionale, gli obiettivi dell’economia e della società della conoscenza sono in genere percepiti di medio e lungo termine. Di conseguenza, in un Paese che vive lo «shortermismo» della logica emergenziale, nulla è più marginale del sistema della Ricerca&Sviluppo. Questo «bias», d’altra parte, non è solo italiano, se si considera la recente scelta di Juncker di indebolire il fondo «Horizon 2020» per potenziare quello di stimolo immediato all’economia. Seconda tipologia. Le università italiane sono fuori da tutte le graduatorie internazionali. Anche le migliori, come il Politecnico di Milano e Torino o la Bocconi, sono a metà classifica. Si sa che uno degli strumenti prioritari per stimolare l’eccellenza e la diversificazione accademica è la «premialità economica» dei migliori atenei, secondo un sistema simile a quello del «Rae» britannico: lasciando da parte il problema del mediocre sistema italiano della valutazione, mentre in Gran Bretagna l’incentivo economico arriva a un terzo del finanziamento pubblico, da noi si ferma a molto meno (anche se dai tempi del ministro Moratti si vede un certo progresso). Non esiste, quindi, un sufficiente effetto incentivante di tipo meritocratico sulla produzione di conoscenza. Terza tipologia. Anni fa, in Lombardia, una multinazionale della telefonia aveva proposto un centro di ricerca avanzato. Ciò avrebbe consentito una collaborazione con i centri di ricerca già presenti nel territorio, in primis il Politecnico di Milano. Cosa successe dopo? Una lista di problemi, ostacoli ed incoerenze tipiche della pubblica amministrazione. Tutto questo era in contrasto con il programma dell’azienda, che decise di trasferire il progetto in un altro Paese. Quarta tipologia. Spesso si parla di sostenere le nuove idee per garantire la nascita di start-up ed imprese innovative. Ma quale incentivo può avere un ingegnere o un biochimico a creare una «newcom», quando è quasi impossibile trovare il «seed money» (quello per le fasi iniziali) nelle banche ed è quasi inesistente il capitale di rischio del venture capital, mentre non si ha la possibilità di valorizzare finanziariamente una start-up a livello di Borsa, dato che manca, in Italia ma anche in Europa, un analogo del Nasdaq? La crisi del fund raising Infine - quinta ed ultima (tra le molte) tipologia di disincentivi - è la capacità di «fund raising» per la ricerca dei

The big four CPA firms — KPMG, Ernst & Young, PricewaterhouseCoopers, and Deloitte — conduct the majority of all global audits of public companies (those that sell their stock on exchanges such as the NASDAQ).

Rather than allowing the free market to dispatch speculators to the ruin they deserved, Krugman urged a massive stimulus campaign to put them back in business. "To fight this recession the Fed needs more than a snapback," the learned professor intoned, "Alan Greenspan needs to create a housing bubble to replace the NASDAQ bubble." Greenspan followed that fatuous advice...

AlphaPoint Completes Blockchain Trial Together with Scotiabank AlphaPoint, a fintech company, devoted to blockchain technological innovation, has accomplished a successful proof technology together with Scotiabank, a major international bank based in Barcelone, Canada. From the trial, Scotiabank sought to learn and examine how the AlphaPoint Distributed Journal Platform could be leveraged inside across a selection of use situations. When questioned if AlphaPoint and Scotiabank intended to further build this job, Igor Telyatnikov, president and also COO regarding AlphaPoint, advised Bitcoin Journal that he was not able to comment especially on the subsequent steps in the particular Scotiabank-AlphaPoint effort. He performed, however, suggest that AlphaPoint is about to reveal several additional media shortly. “We have a couple of other significant announcements that is to be announced inside the coming calendar month, including a generation launch using a systemically crucial financial institution, ” said Telyatnikov. “2017 will be shaping around be an unbelievable year for that distributed journal technology market as a whole and then for AlphaPoint also. ” Within the multi-month venture, trade studies were published upon deployment of the AlphaPoint Distributed Journal Platform, which usually ran concurrently on Microsoft’s Azure impair and AlphaPoint hardware. Inside real-time, typically the blockchain community converted FIXML messages to be able to smart deals and produced an immutable “single truth” across the complete network. The particular Financial Details eXchange (FIX) is a sector protocol used for communicating stock options information inside specific digital messages. Including information about getting rates, market info and buy and sell orders. Using trillions involving dollars bought and sold annually around the Nasdaq only, financial providers entities are usually investing seriously in maximizing electronic buying and selling to increase their particular speed monetary markets and decrease costs. Blockchain technology may help them help save $8-12 million per annum, which includes savings up to 70 percent throughout reporting, 50 % in post-trade and 50 % in consent, according to a report by Accenture and McLagan.

There’s a country that does something a little like this. Its young people, including its very best educational prospects from all different backgrounds, spend two or three years training and solving problems in a nonhierarchical environment and get together every year. Many then collaborate to start companies. This country leads the world in venture capital investments per capita (over $170, versus $75 in the United States in 2010).1 It has more companies on the NASDAQ than any non-US country except for China, despite having a population of less than eight million.2 Its quarterly gross domestic product (GDP) growth rate was above 5 percent in 2011 and it’s in the top thirty globally in per capita GDP, above Spain and Saudi Arabia, among others.3 This country is Israel, where eighteen-year-olds complete two- or three-year tours in the military, getting to know each other in highly selective military units. They operate at a high level of autonomy and responsibility and then travel the world for months before heading to college and/or grad school. In Dan Senor and Saul Singer’s book Start-up Nation, this network and training ground is credited as helping give rise to a culture of risk taking and entrepreneurship. By the time Israelis graduate from college, they’re in their midtwenties and mature; in many cases, they’ve already been in operating environments and borne life-and-death responsibilities. This cocktail of experience gives rise to a mixture of both courage and impatience. As one entrepreneur put it, “When an Israeli entrepreneur has a business idea, he will start it that week. The notion that one should accumulate credentials before launching a venture simply does not exist. . . . Too much time can only teach you what can go wrong, not what could be transformative.”4 Another observer commented, “Israelis . . .  don’t care about the social price of failure and they develop their projects regardless of the economic . . . situation.”5

Then there were the two Israels: one Israel still basking in its successful brand as one of the world’s leading go-to places for venture capitalists, an outlier in the Middle East with the third most companies listed on the NASDAQ after the United States and China, and another Israel whose schoolchildren scored toward the bottom of a long list of developed countries in math, science, and reading. Pupils in the Arabic education system did worse than those in many predominantly Muslim and developing countries. The ultra-Orthodox schools, where boys barely studied such core subjects, were not even included in the testing process.

For instance, if the Nasdaq is below its 200-day line and its 50-day line, it may be worth looking into stocks that are above their own 200- and 50-day lines. When the market turns up, those stocks could be your next market leaders.

煩惱 雖然前面提供了一些我多年的選股祕訣，但還是要再強調一次，除非你真的很有興趣，又願意花很多時間做功課，或當成娛樂、交學費、學經驗，我對多數人還是會建議所謂的Passive Investing，也就是被動投資，因為主動投資天天要看盤，會需要花很多時間，而且經常進出場的成本也很可觀。 那什麼是被動投資呢？其實巴菲特也講過，他過世後會幫老婆家人做一樣的財務安排，也就是買ETF或是指數基金（Index Fund）。前面講過，即使全職的基金經理人，也很難長期跑贏大盤，巴菲特最清楚，所以才幫家人選擇被動投資。我也是一樣，比較喜歡把退休的時間花在其他地方，像家庭小孩、旅行美食，覺得這會比天天在電腦前面看盤、盯股票好，何況我不一定會跑贏大盤。在美股最簡單的方法就是買DIA（Dow Jones Index）、QQQ（Nasdaq Index）或是SPY（S＆P 500 Index），因為美股長期平均有每年7％到10％的回報

煩惱 雖然前面提供了一些我多年的選股祕訣，但還是要再強調一次，除非你真的很有興趣，又願意花很多時間做功課，或當成娛樂、交學費、學經驗，我對多數人還是會建議所謂的Passive Investing，也就是被動投資，因為主動投資天天要看盤，會需要花很多時間，而且經常進出場的成本也很可觀。 那什麼是被動投資呢？其實巴菲特也講過，他過世後會幫老婆家人做一樣的財務安排，也就是買ETF或是指數基金（Index Fund）。前面講過，即使全職的基金經理人，也很難長期跑贏大盤，巴菲特最清楚，所以才幫家人選擇被動投資。我也是一樣，比較喜歡把退休的時間花在其他地方，像家庭小孩、旅行美食，覺得這會比天天在電腦前面看盤、盯股票好，何況我不一定會跑贏大盤。在美股最簡單的方法就是買DIA（Dow Jones Index）、QQQ（Nasdaq Index）或是SPY（S＆P 500 Index），因為美股長期平均有每年7％到10％的回報，買這些指數基金，管理費又低，又不用煩心。在美國有一個基金Vanguard，他的創始人柏格（Jack Bogle），提倡這個低管理費的被動型基金多年，只要跟著大盤跑，最後也證明他是對的，投資報酬率真的不錯，後來才有像巴克萊銀行的iShare跟進。如果你對某一個行業特別有興趣，也可以買這個行業的指數基金，像黃金、生技、台股、外幣，甚至放空等等，現在五花八門，什麼都有（也可以挑國家或不同地區，像北美、南美、西歐、亞洲的ETF基金），這樣可以分散風險，不用把全部資金壓在一種股票上。而且重點是買大盤，被動投資，這樣管理費低，你的投資報酬率才會高。

在美股最簡單的方法就是買DIA（Dow Jones Index）、QQQ（Nasdaq Index）或是SPY（S＆P 500 Index），因為美股長期平均有每年7％到10％的回報

Normally, a company alerts the NASDAQ ahead of the maneuver Musk was now casually proposing, and trading is halted. It isn’t a courtesy, it’s the trading exchange’s rule; companies are supposed to notify the exchange at least ten minutes before any news that might create significant volatility in the stock price, such as an intention to go private, so trading can be stopped to allow investors to digest the new information. The announcement caught them off guard—Tesla hadn’t said a thing. NASDAQ officials frantically tried to reach their contacts at the company. Little

We soon learned what had happened. A twenty-three-year-old college student had sent a report to the electronic news service Internet Wire for which he formerly worked, purporting to be an official news release from Emulex (EMLX). The report claimed that the company’s president was resigning, good positive earnings for the last two years were being corrected to show large losses, and the SEC was to investigate. This fake information spread quickly and the stock was down 56 percent by the time NASDAQ halted trading. The hoaxer had earlier lost $100,000 selling Emulex short and managed to regain this plus a $250,000 profit before he was apprehended the following week. In

es por esto por lo que necesito la transmisión de datos en tiempo real del Nasdaq TotalView Level 2. Sin información del mercado en tiempo real, no puedes llevar a cabo tu day trading adecuadamente.

El Level 2 es, esencialmente, el registro de órdenes de las acciones que cotizan en Nasdaq. Cuando las órdenes son colocadas, se lleva a cabo a través de diversos creadores de mercado y otros participantes. El Level 2 te muestra un ranking de los mejores precios de compra (bid) y de venta (ask) de cada participante, dándote una perspectiva detallada de la acción del precio. Saber exactamente quién está interesado en cierta acción puede ser muy útil, especialmente si estás en el day trading.

DAS Trader es una de las nueve plataformas Nasdaq Platinum Partner que ofrecen el mayor nivel de eficiencia en la ejecución y funcionalidad de mercado para los traders en línea. Como mencioné antes, DAS Trader no es un bróker, es solamente una plataforma de trading, así que enlacé mi cuenta de trading en IB a esta. Cuando ingreso mi orden en la plataforma, DAS envía mis órdenes a los centros de datos de Nasdaq y mi bróker, Interactive Brokers, ejecuta mis órdenes.

He analyzed the price performance of about 26,000 common stocks listed on the New York Stock Exchange, the American Stock Exchange, and the NASDAQ from 1926 to 2016. Unsurprisingly, 51 percent of these stocks lost their entire value over their lifetime. The majority of businesses should not be in business. Bessembinder’s research demonstrates that since the average common stock will lose its value over time, owning stocks can harm one’s wealth. Our default position should be not to buy. So we don’t. We are lazy. Can you guess the number of those 26,000 stocks, if purchased in 1926 and held until 2016 (or acquired or merged), that beat the market? The answer is about 8,000, or about 31 percent of the universe.17 Again, I was surprised at how high this number was.

Israel has more companies registered on the NASDAQ and the New York Stock Exchange than any other country in the world per capita, more start-ups per capita, more academic papers in the field of medicine per capita, and more venture capital funds per capita.

Je kan je niet inbeelden hoe rijke mensen in elkaar zitten. Om vier uur ’s nachts belden ze me uit m’n bed. ‘Heb je het gezien? De Nasdaq is gecrasht.’ Ik had geen leven meer. Ze maakten zich ook constant zorgen over me. Mijnheer Van Rossem, zo snel rijden met de auto, ik zou dat toch niet doen. Ik denk dat niemand ooit voor meer verzekerd is geweest dan ik. Ik was hun moneymaker, ze waren als de dood dat mij iets zou overkomen.

When playing a bear market, the same rules hold: You want to diversify your risks, especially knowing that collapses move even faster than rallies. You need to decide how much safe cash or near cash you want to hold to sleep at night and to handle financial emergencies, like the loss of your job or your house. Then decide how much to put into longer-term high-quality bonds, like those 30-year Treasuries and AAA corporates, but I think it’s still premature to make this move at the time of this writing, in August 2017. Then decide how much you want to put into a dollar bull fund or the ETF UUP, which tracks the U.S. dollar versus its six major trading partners. If you’re willing to risk part of your wealth, you can also bet on financial assets going down—from stocks to gold. Stocks are the one type of financial asset that goes down in either a deflationary crisis, like the 1930s, or an inflationary one, like the 1970s. So shorting stocks is the best way to prosper in the downturn, either way. But don’t leverage this bet. The markets are simply too volatile. You can short the stock market with no leverage by simply buying an ETF (exchange-traded fund) like the ProShares Short S&P 500 (NYSEArca: SH). It’s an inverse fund on the S&P 500, so if the index goes down 50 percent, you make 50 percent. The ProShares Ultrashort (NYSEArca: QID) is double short the NASDAQ 100, which is likely to get hit the worst. If you make this play, just do a half share, to avoid that two-times leverage (hold the other half in cash or short-term bonds). Direxion Daily Small Cap Bear 3X ETF (NYSEArca: TZA) is triple short the Russell 2000, which is also likely to lead on the way down. So buy only a one-third share of this one, to remain without leverage. (That means the money you allocate here should be one-third in TZA and two-thirds in cash, to offset the leverage.) And unlike the gold bugs, I see gold collapsing. It’s an inflation hedge, not a deflation hedge. If gold rallies back as high as $1,425—on my predicted bear-market rally—then it could easily drop to around $700 within a year. Your last decision is whether to risk some of your funds betting on gold’s downside, for the greatest potential returns. You can buy DB Gold Double Short ETN (NYSEArca: DZZ)—double short gold—at a half share, to offset the leverage, or just simply short GLD, the ETF that follows gold. There you have it. How to handle the coming crash.

NASDAQ,

The Netscape offering changed that equation. Originally, Netscape planned to sell 3.5 million shares to the public at $14 each, a price that valued the company at about $500 million. Given that Netscape had posted only $17 million in sales—sales, not profits—during the previous six months, a half-billion-dollar valuation seemed highly optimistic. But not to investors looking for the next you-know-what. Netscape’s roadshows were mobbed; tech geeks who had never before bought a stock wanted to own the Navigator. One technology stock analyst said getting a session with Netscape’s management before the offering “was like getting a one-on-one with God.”3 With demand overwhelming, Netscape and Morgan Stanley, its underwriter, increased both the size and price of the offering, eventually selling 5 million shares at $28. Still, demand far outstripped supply; investors placed orders for 100 million shares, and Morgan Stanley had to decide which clients to favor with the limited number of shares it had available. “They don’t get any hotter than this,” the Journal reported the morning that Netscape opened for trading. With so much unmet demand, it was obvious that Netscape would begin trading far above the $28 offering. After struggling for hours to set a price, the Nasdaq’s market makers finally opened Netscape at $71 per share. It rose as high as $75 before settling back to end the day at $58.25. At that price the company was valued at more than $2 billion—one hundred times its trailing sales.

But now, digital technology was to return the Nasdaq to its former glory and beyond.

Taken together, Silicon Valley’s 150 most valuable publicly traded technology companies are worth $3.5 trillion. That number is so big it doesn’t mean anything to most of us. So consider this: those 150 companies alone make up 50 percent of the value of the NASDAQ, and they account for over 5 percent of the entire world’s market capitalization. That’s a lot of value created by a region with an estimated 3.5 to 4 million residents, or roughly 0.05 percent of the world’s population.

Each ETF represents a certain index. So the ETF for the S&P 500 trades under the ticker SPY. The ETF for the DJIA trades under the ticker DIA. And the ETF for the Nasdaq 100 trades under the ticker QQQ. You've probably heard of the QQQ. It is a great trading or investment vehicle. When you buy shares of the QQQ, you are getting exposure to Apple, Netflix, Google, Amazon, Facebook, and many other tech (and some non-tech) stocks. If you buy the QQQ and hold it for the long-term, you will be able to profit from the long-term growth of the tech industry.

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Remembering successful trades will help you spot and execute only successful setups and boost your confidence as a trader. This will fill your mind with nothing but winning trades with minimal risk and maximum gain.

Interestingly, as I was writing this book, TapImmune (TPIV) left the small stock OTC Exchange and moved up to the NASDAQ Exchange, where stocks have to cost $ 5 or more. But I still just enter TPIV if I want to buy more shares, like I did in the past. And now my order is automatically sent to the NASDAQ, instead of the OTC exchange.

It was so complex. The number of destinations for trading stocks was maddening. There were four public exchanges: the NYSE, Nasdaq, Direct Edge, and BATS (the latter two, which specialized in high-speed trading, appeared on the scene in 2005 and 2006, respectively). Inside each of those exchanges were various other destinations. The NYSE had NYSE Arca, NYSE Amex, NYSE Euronext, and NYSE Alternext. Nasdaq had three markets. BATS had two. Direct Edge had EDGA, which had no “maker-taker” system, and EDGX, which did.

Some smart people came up with the idea of the ETF ("exchange-traded fund"). An ETF trades just like a stock. You can buy or sell it all day long in your brokerage account. Each ETF represents a certain index. So the ETF for the S&P 500 trades under the ticker SPY. The ETF for the DJIA trades under the ticker DIA. And the ETF for the Nasdaq 100 trades under the ticker QQQ.

Though many details of these schemes are either complex or not yet public knowledge, one of the mechanisms is. Some exchanges, such as NASDAQ, let HF traders peek at customer orders ahead of everyone else for thirty milliseconds before the order goes to the exchange. Seeing an order to buy, for instance, the HF traders can buy first, pushing the stock price up, then resell to the customer at a profit. Seeing someone’s order to sell, the HF trader sells first, causing the stock to fall, and then buys it back at the lower price. How is this different from the crime of front-running, described in Wikipedia as “the illegal practice of a stock broker executing orders on a security for its own account while taking advantage of advance knowledge of pending orders from its customers”?

Arlington Heights software firm files for $115 mil. IPO 68 words Paylocity, a payroll and human resources software firm, has filed to make a $115 million initial public stock offering. The Arlington Heights company provides cloud-based payroll and HR management software to about 6,850 businesses with up to 1,000 employees. It employs nearly 850 people. The company, founded in 1997, was renamed Paylocity in 2005. The company wants to list shares on the Nasdaq market under the symbol “PCTY.

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