As you know from my Three Rules page, setting stops is really important to me. But people ask me all the time “where do I set my stop?”

The unsatisfying but truthful answer is: it depends on the chart. Simply stated, you should set a stop at the price point which, if reached, indicates that your conclusion about a chart’s projected price movement was wrong. Putting it a different price, if, at a certain price, your chart pattern is invalidated, it’s time to get out at once.

I tend to trade bearishly, so these will be short positions, but you can just mentally flip the chart upside down to get the same idea. But here are a few examples:

The chart below shows an instance – which is quite common – where you need to decide how conservative your stop is going to be. The red circled price indicates the more conservative stop, since at the first sign of trouble (specifically, the series of lower highs being broken) you get out of the position. A looser stop – and thus one which exposes you to larger losses – is circled in green. That shows the lifetime high on the stock, plus a double stop. A price above this level would obviously be very bad for a bear in this position (keep in mind, a bearish position is assumed for all these examples).

The next chart is similar in the respect that the red circle shows the tighter, more conservative stop, whereas the green shows the looser stop. In this case, I would be strongly inclined to set the stop price in red, since the basis for the trade is very plainly the series of lower lows.

Sometimes the stop price is quite obvious, such as with a horizontal line. If resistance is broken (for bearish positions) or support is broken (for bullish positions), it’s time to get out. In the example below, simply by mousing over the horizontal line, ProphetCharts shows the precise dollar amount which, if exceeded, indicates it’s time to exit the short position.

If you take a bearish position on a stock which is otherwise quite a bullish pattern (like in the chart below, which frankly has no bearish configuration to it), setting the stop at the high price is the only way to go. It’s quite likely that a new high price will be made, and if it is, you don’t want to sit around to see just how high this price gets.

Trades based on Fibonacci patterns are, similar to horizontal lines, easy for stop-setting. In this case, you want to set the stop at the price just above the next Fibonacci level above (or, for bullish positions, the next one below). So in this example, the next line up is at $157.60, so any price above this level indicates an exit signal.

One final example is with a broken trendline. Here, the red circle shows a price level that would be discouraging for a bearish position, since it would indicate enough strength on the stock’s part to muscle its way to the other side of that trendline. Simply stated, if the basis for the trade (in this instance, a broken trendline) is negated, then the likelihood of a profitable trade is diminished too.

So the seeming cop-out of “it depends on the chart” is, as you can see, quite true. But I hope this gives you the general idea.

[Powered by Prophet Gutenberg]

There is a lot of overlap among rule lists, and most of these lists aren’t worth much, particularly in cases where they comprise dozens of different rules. On reading these, one can conclude the writer of the list has made a glittering variety of errors that he believes he can circumvent if only he has a lengthy-enough document to follow.

I’ve got my own list, but it is short and sweet. Like all rules writers, I ignore some of them from time to time, and virtually every time I do, I regret it.

It has cost me a huge amount of money to formulate these “trading laws”, and I offer them up – as I do everything on this blog – for free, with the hope that it will help some of you. If one day I can follow these rules absolutely consistently, I’ll be a much richer trader for it. Behold:

Opening Bell - no new positions should be initiated in the first 30 minutes of any trading session. There are an astonishing number of pre-opening orders, and in my experience, I have found it better to let all the open bell excitement die away before getting into any new positions.

Advantage - only enter into a position which provides you a significant advantage of reward versus risk.

Sizing - position sizing must be consistent among instrument types irrespective of anticipated opportunity.

Stops - a stop price must be in place at all times for all positions.

Freshness - positions should be regularly updated for the sake of updated stops.

Exits - the only acceptable exit is either being stopped out of a position or reaching a target price which has a clear technical rationale, and even in cases of the latter, partial exits are preferable to outright closes.

Emotional Awareness - use emotional awareness to your advantage, understanding fear often accompanies reversals in your favor and hubris often accompanies reversals against your positions. My state of mind, when trading, will be carefree and fearless, and my total focus will be technical considerations and I will only trade what I see.

Following these rules consistently isn’t easy. But every year I get a little better at it, and every year I do better in my trading. I urge you to consider making these rules an important part of your trading life.

I think something like this:

What I’ve scribbled out above is an S&P which free-falls again to March’s lows (plus or minus a little bit). How would the different camps react to this?

• The bears would, of course, be delighted at first, but here’s the clincher – - I think the bears have been so battered for the past 7 weeks, that the moment the S&P gets anywhere close to the 780-800 range, they’re going to close out everything and engage in a big group hug. 780 is the number everyone is talking about. If the market simply keeps falling, the bears are going to be furious (and feel mighty cheated), since the easy and obvious take-profits point didn’t matter much. My point is that the bears will leave almost all the potential profits on the table.
• The bulls would be equally furious, too, because all their easy profits from the past 7 weeks – - - especially from the high-flying momentum stocks - – would go up in smoke. Their relief would come with a double-bottom, but frankly I think newer bulls would feel so betrayed by the market (again) that they would not be as enthusiastic to re-enter.

[by Tim Knight]

New High for AD Line

Actual trades are based on an auction market paradigm where a potential buyer bids a specific price for a stock and a potential seller asks a specific price for the stock. (Buying or selling at market means you will accept any ask price or bid price for the stock, respectively.) When the bid and ask prices match, a sale takes place on a first come first served basis if there are multiple bidders or askers at a given price.

The purpose of a stock exchange is to facilitate the exchange of securities between buyers and sellers, thus providing a marketplace (virtual or real). The exchanges provide real-time trading information on the listed securities, facilitating price discovery.

The New York Stock Exchange is a physical exchange, also referred to as a listed exchange — only stocks listed with the exchange may be traded. Orders enter by way of exchange members and flow down to a floor broker, who goes to the floor trading post specialist for that stock to trade the order. The specialist’s job is to match buy and sell orders using open outcry. 

If a spread exists, no trade immediately takes place–in this case the specialist should use his/her own resources (money or stock) to close the difference after his/her judged time. Once a trade has been made the details are reported on the “tape” and sent back to the brokerage firm, which then notifies the investor who placed the order. Although there is a significant amount of human contact in this process, computers play an important role, especially for so-called “program trading”.

The NASDAQ is a virtual listed exchange, where all of the trading is done over a computer network. The process is similar to the New York Stock Exchange. However, buyers and sellers are electronically matched. One or more NASDAQ market makers will always provide a bid and ask price at which they will always purchase or sell ‘their’ stock. 
The Paris Bourse, now part of Euronext, is an order-driven, electronic stock exchange. It was automated in the late 1980s. 

Prior to the 1980s, it consisted of an open outcry exchange. Stockbrokers met on the trading floor or the Palais Brongniart. In 1986, the CATS trading system was introduced, and the order matching process was fully automated.

From time to time, active trading (especially in large blocks of securities) have moved away from the ‘active’ exchanges. Securities firms, led by UBS AG, Goldman Sachs Group Inc. and Credit Suisse Group, already steer 12 percent of U.S. security trades away from the exchanges to their internal systems. That share probably will increase to 18 percent by 2010 as more investment banks bypass the NYSE and NASDAQ and pair buyers and sellers of securities themselves, according to data compiled by Boston-based Aite Group LLC, a brokerage-industry consultant[citation needed].

Now that computers have eliminated the need for trading floors like the Big Board’s, the balance of power in equity markets is shifting. By bringing more orders in-house, where clients can move big blocks of stock anonymously, brokers pay the exchanges less in fees and capture a bigger share of the $11 billion a year that institutional investors pay in trading commissions[citation needed].

History has shown that the price of shares and other assets is an important part of the dynamics of economic activity, and can influence or be an indicator of social mood. An economy where the stock market is on the rise is considered to be an up coming economy. In fact, the stock market is often considered the primary indicator of a country’s economic strength and development. Rising share prices, for instance, tend to be associated with increased business investment and vice versa. Share prices also affect the wealth of households and their consumption. Therefore, central banks tend to keep an eye on the control and behavior of the stock market and, in general, on the smooth operation of financial system functions. Financial stability is the raison d’être of central banks.

Exchanges also act as the clearinghouse for each transaction, meaning that they collect and deliver the shares, and guarantee payment to the seller of a security. This eliminates the risk to an individual buyer or seller that the counterparty could default on the transaction.

The smooth functioning of all these activities facilitates economic growth in that lower costs and enterprise risks promote the production of goods and services as well as employment. In this way the financial system contributes to increased prosperity.

Relation of the stock market to the modern financial system
The financial system in most western countries has undergone a remarkable transformation. One feature of this development is disintermediation. A portion of the funds involved in saving and financing flows directly to the financial markets instead of being routed via the traditional bank lending and deposit operations. The general public’s heightened interest in investing in the stock market, either directly or through mutual funds, has been an important component of this process. 

Statistics show that in recent decades shares have made up an increasingly large proportion of households’ financial assets in many countries. In the 1970s, in Sweden, deposit accounts and other very liquid assets with little risk made up almost 60 percent of households’ financial wealth, compared to less than 20 percent in the 2000s. The major part of this adjustment in financial portfolios has gone directly to shares but a good deal now takes the form of various kinds of institutional investment for groups of individuals, e.g., pension funds, mutual funds, hedge funds, insurance investment of premiums, etc. 

The trend towards forms of saving with a higher risk has been accentuated by new rules for most funds and insurance, permitting a higher proportion of shares to bonds. Similar tendencies are to be found in other industrialized countries. In all developed economic systems, such as the European Union, the United States, Japan and other developed nations, the trend has been the same: saving has moved away from traditional (government insured) bank deposits to more risky securities of one sort or another.

The stock market, individual investors, and financial risk
Riskier long-term saving requires that an individual possess the ability to manage the associated increased risks. Stock prices fluctuate widely, in marked contrast to the stability of (government insured) bank deposits or bonds. This is something that could affect not only the individual investor or household, but also the economy on a large scale. The following deals with some of the risks of the financial sector in general and the stock market in particular. This is certainly more important now that so many newcomers have entered the stock market, or have acquired other ‘risky’ investments (such as ‘investment’ property, i.e., real estate and collectables).

With each passing year, the noise level in the stock market rises. Television commentators, financial writers, analysts, and market strategists are all overtaking each other to get investors’ attention. At the same time, individual investors, immersed in chat rooms and message boards, are exchanging questionable and often misleading tips. Yet, despite all this available information, investors find it increasingly difficult to profit. Stock prices skyrocket with little reason, then plummet just as quickly, and people who have turned to investing for their children’s education and their own retirement become frightened. Sometimes there appears to be no rhyme or reason to the market, only folly.

This is a quote from the preface to a published biography about the long-term value-oriented stock investor Warren Buffett.[5] Buffett began his career with $100, and $105,000 from seven limited partners consisting of Buffett’s family and friends. Over the years he has built himself a multi-billion-dollar fortune. The quote illustrates some of what has been happening in the stock market during the end of the 20th century and the beginning of the 21st century.

The behavior of the stock market
From experience we know that investors may ‘temporarily’ move financial prices away from their long term aggregate price ‘trends’. (Positive or up trends are referred to as bull markets; negative or down trends are referred to as bear markets.) Over-reactions may occur—so that excessive optimism (euphoria) may drive prices unduly high or excessive pessimism may drive prices unduly low. New theoretical and empirical arguments have since been put forward against the notion that financial markets are ‘generally’ efficient (i.e., in the sense that stock prices in the aggregate tend to follow a Gaussian distribution).

According to the efficient market hypothesis (EMH), only changes in fundamental factors, such as the outlook for margins, profits or dividends, ought to affect share prices beyond the short term, where random ‘noise’ in the system may prevail. (But this largely theoretic academic viewpoint—known as ‘hard’ EMH—also predicts that little or no trading should take place, contrary to fact, since prices are already at or near equilibrium, having priced in all public knowledge.) 

The ‘hard’ efficient-market hypothesis is sorely tested by such events as the stock market crash in 1987, when the Dow Jones index plummeted 22.6 percent—the largest-ever one-day fall in the United States. This event demonstrated that share prices can fall dramatically even though, to this day, it is impossible to fix a generally agreed upon definite cause: a thorough search failed to detect any ‘reasonable’ development that might have accounted for the crash. (But note that such events are predicted to occur strictly by chance , although very rarely.) 

It seems also to be the case more generally that many price movements (beyond that which are predicted to occur ‘randomly’) are not occasioned by new information; a study of the fifty largest one-day share price movements in the United States in the post-war period seems to confirm this.

However, a ‘soft’ EMH has emerged which does not require that prices remain at or near equilibrium, but only that market participants not be able to systematically profit from any momentary market ‘ inefficiencies’. Moreover, while EMH predicts that all price movement (in the absence of change in fundamental information) is random (i.e., non-trending), many studies have shown a marked tendency for the stock market to trend over time periods of weeks or longer. 

Various explanations for such large and apparently non-random price movements have been promulgated. For instance, some research has shown that changes in estimated risk, and the use of certain strategies, such as stop-loss limits and Value at Risk limits, theoretically could cause financial markets to overreact. But the best explanation seems to be that the distribution of stock market prices is non-Gaussian (in which case EMH, in any of its current forms, would not be strictly applicable).

Other research has shown that psychological factors may result in exaggerated (statistically anomalous) stock price movements (contrary to EMH which assumes such behaviors ‘cancel out’). Psychological research has demonstrated that people are predisposed to ‘seeing’ patterns, and often will perceive a pattern in what is, in fact, just noise. (Something like seeing familiar shapes in clouds or ink blots.) 

In the present context this means that a succession of good news items about a company may lead investors to overreact positively (unjustifiably driving the price up). A period of good returns also boosts the investor’s self-confidence, reducing his (psychological) risk threshold.

Another phenomenon—also from psychology—that works against an objective assessment is group thinking. As social animals, it is not easy to stick to an opinion that differs markedly from that of a majority of the group. An example with which one may be familiar is the reluctance to enter a restaurant that is empty; people generally prefer to have their opinion validated by those of others in the group.
In one paper the authors draw an analogy with gambling. 

In normal times the market behaves like a game of roulette; the probabilities are known and largely independent of the investment decisions of the different players. In times of market stress, however, the game becomes more like poker (herding behavior takes over). The players now must give heavy weight to the psychology of other investors and how they are likely to react psychologically.

The stock market, as any other business, is quite unforgiving of amateurs. Inexperienced investors rarely get the assistance and support they need. In the period running up to the 1987 crash, less than 1 percent of the analyst’s recommendations had been to sell (and even during the 2000 – 2002 bear market, the average did not rise above 5%). In the run up to 2000, the media amplified the general euphoria, with reports of rapidly rising share prices and the notion that large sums of money could be quickly earned in the so-called new economy stock market. (And later amplified the gloom which descended during the 2000 – 2002 bear market, so that by summer of 2002, predictions of a DOW average below 5000 were quite common.)

Irrational behavior
Sometimes the market seems to react irrationally to economic or financial news, even if that news is likely to have no real effect on the technical value of securities itself. But this may be more apparent than real, since often such news has been anticipated, and a counterreaction may occur if the news is better (or worse) than expected. Therefore, the stock market may be swayed in either direction by press releases, rumors, euphoria and mass panic; but generally only briefly, as more experienced investors (especially the hedge funds) quickly rally to take advantage of even the slightest, momentary hysteria.

Over the short-term, stocks and other securities can be battered or buoyed by any number of fast market-changing events, making the stock market behavior difficult to predict. Emotions can drive prices up and down, people are generally not as rational as they think, and the reasons for buying and selling are generally obscure. Behaviorists argue that investors often behave ‘irrationally’ when making investment decisions thereby incorrectly pricing securities, which causes market inefficiencies, which, in turn, are opportunities to make money. However, the whole notion of EMH is that these non-rational reactions to information cancel out, leaving the prices of stocks rationally determined.

Crashes
A stock market crash is often defined as a sharp dip in share prices of equities listed on the stock exchanges. In parallel with various economic factors, a reason for stock market crashes is also due to panic. Often, stock market crashes end speculative economic bubbles.

There have been famous stock market crashes that have ended in the loss of billions of dollars and wealth destruction on a massive scale. An increasing number of people are involved in the stock market, especially since the social security and retirement plans are being increasingly privatized and linked to stocks and bonds and other elements of the market. There have been a number of famous stock market crashes like the Wall Street Crash of 1929, the stock market crash of 1973–4, the Black Monday of 1987, the Dot-com bubble of 2000.

One of the most famous stock market crashes started October 24, 1929 on Black Thursday. The Dow Jones Industrial lost 50% during this stock market crash. It was the beginning of the Great Depression. Another famous crash took place on October 19, 1987 – Black Monday. On Black Monday itself, the Dow Jones fell by 22.6% after completing a 5 year continuous rise in share prices. This event not only shook the USA, but quickly spread across the world. 

Thus, by the end of October, stock exchanges in Australia lost 41.8%, in Canada lost 22.5%, in Hong Kong lost 45.8%, and in Great Britain lost 26.4%. The names “Black Monday” and “Black Tuesday” are also used for October 28-29, 1929, which followed Terrible Thursday–the starting day of the stock market crash in 1929. The crash in 1987 raised some puzzles-–main news and events did not predict the catastrophe and visible reasons for the collapse were not identified. This event raised questions about many important assumptions of modern economics, namely, the theory of rational human conduct, the theory of market equilibrium and the hypothesis of market efficiency. 

For some time after the crash, trading in stock exchanges worldwide was halted, since the exchange computers did not perform well owing to enormous quantity of trades being received at one time. This halt in trading allowed the Federal Reserve system and central banks of other countries to take measures to control the spreading of worldwide financial crisis. In the United States the SEC introduced several new measures of control into the stock market in an attempt to prevent a re-occurrence of the events of Black Monday. 

Computer systems were upgraded in the stock exchanges to handle larger trading volumes in a more accurate and controlled manner. The SEC modified the margin requirements in an attempt to lower the volatility of common stocks, stock options and the futures market. The New York Stock Exchange and the Chicago Mercantile Exchange introduced the concept of a circuit breaker. The circuit breaker halts trading if the Dow declines a prescribed number of points for a prescribed amount of time.

The size of the world stock market is estimated at about $36.6 trillion US at the beginning of October 2008 . The total world derivatives market has been estimated at about $791 trillion face or nominal value, 11 times the size of the entire world economy. 

The value of the derivatives market, because it is stated in terms of notional values, cannot be directly compared to a stock or a fixed income security, which traditionally refers to an actual value. Moreover, the vast majority of derivatives ‘cancel’ each other out (i.e., a derivative ‘bet’ on an event occurring is offset by a comparable derivative ‘bet’ on the event not occurring.). 

Many such relatively illiquid securities are valued as marked to model, rather than an actual market price.)
The stocks are listed and traded on stock exchanges which are entities a corporation or mutual organization specialized in the business of bringing buyers and sellers of the organizations to a listing of stocks and securities together. 

The stock market in the United States includes the trading of all securities listed on the NYSE, the NASDAQ, the Amex, as well as on the many regional exchanges, e.g. OTCBB and Pink Sheets. European examples of stock exchanges include the London Stock Exchange, the Deutsche Börse and the Paris Bourse, now part of Euronext.

The rise of the institutional investor has brought with it some improvements in market operations. Thus, the government was responsible for “fixed” (and exorbitant) fees being markedly reduced for the ‘small’ investor, but only after the large institutions had managed to break the brokers’ solid front on fees. (They then went to ‘negotiated’ fees, but only for large institutions.

However, corporate governance (at least in the West) has been very much adversely affected by the rise of (largely ‘absentee’) institutional ‘owners’

Short selling
In short selling, the trader borrows stock (usually from his brokerage which holds its clients’ shares or its own shares on account to lend to short sellers) then sells it on the market, hoping for the price to fall. The trader eventually buys back the stock, making money if the price fell in the meantime or losing money if it rose. Exiting a short position by buying back the stock is called “covering a short position.” This strategy may also be used by unscrupulous traders to artificially lower the price of a stock. Hence most markets either prevent short selling or place restrictions on when and how a short sale can occur. The practice of naked shorting is illegal in most (but not all) stock markets.

Margin buying
In margin buying, the trader borrows money (at interest) to buy a stock and hopes for it to rise. Most industrialized countries have regulations that require that if the borrowing is based on collateral from other stocks the trader owns outright, it can be a maximum of a certain percentage of those other stocks’ value. In the United States, the margin requirements have been 50% for many years (that is, if you want to make a $1000 investment, you need to put up $500, and there is often a maintenance margin below the $500). 

A margin call is made if the total value of the investor’s account cannot support the loss of the trade. (Upon a decline in the value of the margined securities additional funds may be required to maintain the account’s equity, and with or without notice the margined security or any others within the account may be sold by the brokerage to protect its loan position. The investor is responsible for any shortfall following such forced sales.) Regulation of margin requirements (by the Federal Reserve) was implemented after the Crash of 1929. Before that, speculators typically only needed to put up as little as 10 percent (or even less) of the total investment represented by the stocks purchased. 

Other rules may include the prohibition of free-riding: putting in an order to buy stocks without paying initially (there is normally a three-day grace period for delivery of the stock), but then selling them (before the three-days are up) and using part of the proceeds to make the original payment (assuming that the value of the stocks has not declined in the interim).

Fundamental analysis refers to analyzing companies by their financial statements found in SEC Filings, business trends, general economic conditions, etc. 

Technical analysis studies price actions in markets through the use of charts and quantitative techniques to attempt to forecast price trends regardless of the company’s financial prospects. 

One example of a technical strategy is the Trend following method, used by John W. Henry and Ed Seykota, which uses price patterns, utilizes strict money management and is also rooted in risk control and diversification.

Additionally, many choose to invest via the index method. In this method, one holds a weighted or unweighted portfolio consisting of the entire stock market or some segment of the stock market (such as the S&P 500 or Wilshire 5000). The principal aim of this strategy is to maximize diversification, minimize taxes from too frequent trading, and ride the general trend of the stock market (which, in the U.S., has averaged nearly 10%/year, compounded annually, since World War II).