Tuesday 23 August 2011

How investors can avoid another 'lost decade'


Gold bars - How investors can avoid another 'lost decade'
Gold has been the star performer of the decade 


The past decade has been a grim one for investors, with stock markets failing to regain the peaks seen back at the turn of the Millennium, at the height of the dotcom boom.
For pension savers, Isa investors and those with long-term savings, the market movements over the past week have mirrored the peaks and troughs seen over the past decade – with a couple of years of strong gains disappearing as the bull run fell into another punishing and protracted fall.
This "lost decade" has coincided with a period when individuals are increasingly having to make their own long-term savings, be it for pensions, funding their children's university fees or helping them get a start on the housing ladder.
This has been a particular disaster for those fast heading towards retirement, who are simply running out of time to make up lost ground. At the same time they have been hit by a double whammy of lower interest rates – meaning "safer" assets such as cash are losing value in real terms – and falling annuity rates. As a result, over the past five years many have been forced to retire on far smaller pensions than they imagined.
However, it is not all doom and gloom. For all the talk of the "lost decade" there are a number of assets, sectors and funds that have delivered strong returns during this period.
Below we look at where the smart money has gone in recent years, and assess each area's chances of outperforming in the decade ahead.

GOLD

This has been the star performer of the decade, rising in value by 606pc since the stock market peaked in 1999. Those canny enough to have bought a few gold bars as the stock market started to slip in 2000 are now sitting on substantial gains.
Other metals, such as copper, silver and platinum, have also risen in value, as have oil and agricultural commodities such as corn and coffee. Not surprisingly, funds that invest in gold and commodities have seen even more stellar gains: BlackRock Gold & General has risen by 768pc over the past 10 years, while JP Morgan Natural Resources is 610pc higher.
As long as equity markets remain in turmoil the price of gold is likely to remain high – but most experts warn that at some point there will be a sharp correction. Commodity prices, though, continue to be fuelled by demand from rapidly industrialising emerging markets, in particular China, India, Brazil and Russia.

EMERGING MARKETS

In times of market volatility share price falls can be more dramatic in these emerging economies. Over the "lost decade", though, investors have seen a positive return on their money – although much will depend of course on where and when you were invested.
Since the end of 1999 the MSCI Emerging Markets index has delivered a total return of 163pc, compared with a FTSE 100 return of just 6.72pc (this is positive only because of dividend payments) and a return of 4.78pc from the MSCI World index.
However, many funds investing in this area have done far better than the index. Henderson China Opportunities has risen by 313pc over the period. First State Global Emerging Markets, managed for most of the period by Angus Tulloch, is up by 320pc over the past 10 years, while the Indian Nifty index (its 50 biggest companies) has grown by 551pc over the past decade.
Given the demographics of the region and its potential for growth, most experts agree that it has the potential to deliver returns in future. However, markets can be volatile, so investors are often warned to bank gains after periods of strong growth, perhaps using profits to invest in other undervalued assets.

PROPERTY

Given that house prices are on the slide again, property might not feel like a particularly robust investment. But the figures show that over the past decade it has remained one of the top performing assets. Based on the Halifax Property Price Index, home owners have seen a return of 101pc on bricks and mortar since the end of 1999.
Of course there will be huge regional variations within these figures – and the vast majority of us borrow to buy our homes, so clearly have interest charges to factor in to any notional "return". And we still do need a roof over our heads: it's not as if we can cash it all in and go and live in an Isa. However, this doesn't detract from the fact that when it comes to long-term saving and retirement planning people shouldn't overlook their property.

FUNDS

Even though the UK stock market has not regained its previous highs, this doesn't mean that funds investing in British shares haven't made money over this period. Dividend income remains an important part of the total return on pensions and Isas. In addition, most fund managers won't slavishly follow an index but will be looking to invest in companies whose share price will rise faster than peers in a rising market, but won't fall like a stone when things head south.
Special situation funds, for example, try to find undervalued companies with the potential to deliver gains and good managers in this sector are among the top performers. Marlborough Special Situations has delivered a 289pc return over 10 years; Fidelity Special Situations has returned 101pc.
Another notable success story has been Neil Woodford's Invesco Perpetual High Income fund, one of the biggest and most popular unit trusts. This defensive fund, which concentrates on stocks that have the potential to deliver a rising dividend stream as well as capital growth, has returned 120pc over the past 10 years – hardly a lost decade for the thousands of private investors who have entrusted their long-term savings to this fund manager.

Life Cycle of Family






























Monday 22 August 2011

The psychology of investment: caution or risk?


What makes some investors revel in danger and others flee at the first sign of market volatility?

'Mind-reading machine' can convert thoughts into speech
The psychology of investment: caution or risk? Photo: GETTY IMAGES
Evolution has programmed us to flee from danger. But the same instinct that protected early human from the sabre-toothed tiger makes for an unsuccessful investor. As global markets have fluctuated wildly, investors have been indiscriminately cashing in their investments, panic selling as times get tough.
A tenth of the fund supermarket Fidelity FundsNetwork's customers have switched their investments into less risky assets as a result of the eurozone worries, with low-risk bond funds the preferred option over equity or equity-income funds.
But if those investors kept their composure and did nothing, they would have made money as banking stocks pushed the FTSE 100 up to close last Friday on 5,320, compared to 5,247 the previous week.
But what makes some people flee to cash deposits as markets crash and others gleefully seek out opportunities among the ruin? While many of us would prefer to consider ourselves spontaneous risk-takers, when it comes to the crunch, most investors value capital preservation over high-risk, high-income investments.
"Everyone wants minimum risk and maximum return, but it is rarely possible to do both," said Neil Pedley of Vestra Wealth.
Wealth managers have the complicated task of gauging a client's risk appetite to allocate their cash correctly. Rather than take the client's word for it, wealth managers at Barclays Wealth employ personality profiling to gauge investment attitudes.
"It can be difficult for investors to be honest with themselves," said Greg Davies, who is head of behavioural finance at Barclays Wealth. "Some people like to think of themselves as composed risk-takers, but if you try to invest in a way that does not respect your natural 'type', you make decisions you are not comfortable with and you will lose money."
There are two parts of our brain that govern decision making.
1.  The first is rational, logical and more suited to decision making based on long-term goals. 
2.  The second controls emotional decision making – the fight-or-flight reflex.
In times of stress or perceived danger, humans default to the emotional brain and seek instant gratification, rather than considering long-term success. Though this "action bias" may have been a successful tactic when early human was faced with a predator, it does not help investors make money.
"When we pull our money out of markets during a crash, we get instant emotional gratification. We are happy because we have removed ourselves from the perceived danger – the risk of losing more money. However, this short-term thinking is bad for long-term goals," said Mr Davies.
As well as asking clients about their investment goals, Barclays constructs client portfolios based on the results from the personality profiling, which assesses composure in the face of risk.
The idea is that two clients could have the same amount of money to invest and the same long-term investment goals, but if one has a high level of composure and the other a low level of composure, their investments should be different. The client with the low composure is more likely to act rashly when he sees his investments fluctuate in value, so his portfolio is hedged with slower growth but low-volatility assets.
By constructing a portfolio in this way, Barclays lessens the chances of clients falling for pack mentality – buying at the highest price and selling at the lowest.
Wealth manager HFM Columbus also uses psychometric profiling to help determine clients' attitudes to investment risk, as well as the ways to best service clients, for example, are they likely to read fund literature, or would they prefer a short summary?
The test assesses five major personality traits: openness, conscientiousness, extroversion, agreeableness and emotional stability. "We are focusing principally on the 'conscientiousness' variant to ascertain how much or how little the client wishes to engage in the advice process and to ensure that we deliver the correct amount and type of information in order for them to make a decision," said director Marcus Carlton.
"We anticipate that the client's degree of conscientiousness will inform us if they are rash decision makers or if they make more studied decisions, and the profiler will also look at emotional stability in order to analyse likely reaction to unexpected outcomes – for example severe market volatility – so that we can protect clients and manage their expectations better."
You do not need a psychometric test to take advantage of this psychology. Mr Davies said investors should exercise self-knowledge and put in place a set of rules for investing.
"Most of us can help break our emotional investing habits by setting a framework in place in times of calm to be prepared for times of turbulence. You can bet those investors who are taking advantage of value stocks now will have planned their response to these situations. They will be informed and have engaged with markets for a while," said Mr Davies.

Sunday 21 August 2011

Technical Analysis: Conclusion

By Cory JanssenChad Langager and Casey Murphy

This introductory section of the technical analysis tutorial has provided a broad overview of technical analysis.
Here's a brief summary of what we've covered: 

  • Technical analysis is a method of evaluating securities by analyzing the statistics generated by market activity. It is based on three assumptions: 1) the market discounts everything, 2) price moves in trends and 3) history tends to repeat itself.
  • Technicians believe that all the information they need about a stock can be found in its charts.
  • Technical traders take a short-term approach to analyzing the market.
  • Criticism of technical analysis stems from the efficient market hypothesis, which states that the market price is always the correct one, making any historical analysis useless.
  • One of the most important concepts in technical analysis is that of a trend, which is the general direction that a security is headed. There are three types of trends: uptrendsdowntrends and sideways/horizontal trends.
  • trendline is a simple charting technique that adds a line to a chart to represent the trend in the market or a stock.
  • channel, or channel lines, is the addition of two parallel trendlines that act as strong areas of support and resistance.
  • Support is the price level through which a stock or market seldom falls. Resistance is the price level that a stock or market seldom surpasses.
  • Volume is the number of shares or contracts that trade over a given period of time, usually a day. The higher the volume, the more active the security.
  • A chart is a graphical representation of a series of prices over a set time frame.
  • The time scale refers to the range of dates at the bottom of the chart, which can vary from decades to seconds. The most frequently used time scales are intraday, daily, weekly, monthly, quarterly and annually.
  • The price scale is on the right-hand side of the chart. It shows a stock's current price and compares it to past data points. It can be either linear or logarithmic.
  • There are four main types of charts used by investors and traders: line chartsbar chartscandlestick charts and point and figure charts.
  • A chart pattern is a distinct formation on a stock chart that creates a trading signal, or a sign of future price movements. There are two types: reversal and continuation.
  • head and shoulders pattern is reversal pattern that signals a security is likely to move against its previous trend.
  • cup and handle pattern is a bullish continuation pattern in which the upward trend has paused but will continue in an upward direction once the pattern is confirmed.
  • Double tops and double bottoms are formed after a sustained trend and signal to chartists that the trend is about to reverse. The pattern is created when a price movement tests support or resistance levels twice and is unable to break through.
  • triangle is a technical analysis pattern created by drawing trendlines along a price range that gets narrower over time because of lower tops and higher bottoms. Variations of a triangle include ascending and descending triangles.
  • Flags and pennants are short-term continuation patterns that are formed when there is a sharp price movement followed by a sideways price movement.
  • The wedge chart pattern can be either a continuation or reversal pattern. It is similar to a symmetrical triangle except that the wedge pattern slants in an upward or downward direction.
  • gap in a chart is an empty space between a trading period and the following trading period. This occurs when there is a large difference in prices between two sequential trading periods.
  • Triple tops and triple bottoms are reversal patterns that are formed when the price movement tests a level of support or resistance three times and is unable to break through, signaling a trend reversal.

  • rounding bottom (or saucer bottom) is a long-term reversal pattern that signals a shift from a downward trend to an upward trend.
  • moving average is the average price of a security over a set amount of time. There are three types: simple, linear and exponential.
  • Moving averages help technical traders smooth out some of the noise that is found in day-to-day price movements, giving traders a clearer view of the price trend.
  • Indicators are calculations based on the price and the volume of a security that measure such things as money flow, trends, volatility and momentum. There are two types: leading and lagging.
  • The accumulation/distribution line is a volume indicator that attempts to measure the ratio of buying to selling of a security.
  • The average directional index (ADX) is a trend indicator that is used to measure the strength of a current trend.
  • The Aroon indicator is a trending indicator used to measure whether a security is in an uptrend or downtrend and the magnitude of that trend.
  • The Aroon oscillator plots the difference between the Aroon up and down lines by subtracting the two lines.
  • The moving average convergence divergence (MACD) is comprised of two exponential moving averages, which help to measure a security's momentum.
  • The relative strength index (RSI) helps to signal overbought and oversold conditions in a security.
  • The on-balance volume (OBV) indicator is one of the most well-known technical indicators that reflects movements in volume.
  • The stochastic oscillator compares a security's closing price to its price range over a given time period.



Read more: http://www.investopedia.com/university/technical/techanalysis11.asp#ixzz1VeCBs6Nw

Technical Analysis: Indicators And Oscillators


By Cory JanssenChad Langager and Casey Murphy

Indicators are calculations based on the price and the volume of a security that measure such things as money flow, trends, volatility and momentum. Indicators are used as a secondary measure to the actual price movements and add additional information to the analysis of securities. Indicators are used in two main ways: to confirm price movement and the quality of chart patterns, and to form buy and sell signals.
 There are two main types of indicators: leading and lagging. A leading indicator precedes price movements, giving them a predictive quality, while a lagging indicator is a confirmation tool because it follows price movement. A leading indicator is thought to be the strongest during periods of sideways or non-trending trading ranges, while the lagging indicators are still useful during trending periods.

There are also two types of indicator constructions: those that fall in a bounded range and those that do not. The ones that are bound within a range are called oscillators - these are the most common type of indicators. Oscillator indicators have a range, for example between zero and 100, and signal periods where the security is overbought (near 100) or oversold (near zero). Non-bounded indicators still form buy and sell signals along with displaying strength or weakness, but they vary in the way they do this.

The two main ways that indicators are used to form buy and sell signals in technical analysis is through crossovers and divergence. Crossovers are the most popular and are reflected when either the price moves through the moving average, or when two different moving averages cross over each other.The second way indicators are used is through divergence, which happens when the direction of the price trend and the direction of the indicator trend are moving in the opposite direction. This signals to indicator users that the direction of the price trend is weakening.

Indicators that are used in technical analysis provide an extremely useful source of additional information. These indicators help identify momentum, trends, volatility and various other aspects in a security to aid in the technical analysis of trends. It is important to note that while some traders use a single indicator solely for buy and sell signals, they are best used in conjunction with price movement, chart patterns and other indicators.

Accumulation/Distribution Line
The accumulation/distribution line is one of the more popular volume indicators that measures money flows in a security. This indicator attempts to measure the ratio of buying to selling by comparing the price movement of a period to the volume of that period.

Calculated:



Acc/Dist = ((Close - Low) - (High - Close)) / (High - Low) * Period's Volume




This is a non-bounded indicator that simply keeps a running sum over the period of the security. Traders look for trends in this indicator to gain insight on the amount of purchasing compared to selling of a security. If a security has an accumulation/distribution line that is trending upward, it is a sign that there is more buying than selling.

Average Directional Index
The average directional index (ADX) is a trend indicator that is used to measure the strength of a current trend. The indicator is seldom used to identify the direction of the current trend, but can identify the momentum behind trends.

The ADX is a combination of two price movement measures: the positive directional indicator (+DI) and the negative directional indicator (-DI). The ADX measures the strength of a trend but not the direction. The +DI measures the strength of the upward trend while the -DI measures the strength of the downward trend. These two measures are also plotted along with the ADX line. Measured on a scale between zero and 100, readings below 20 signal a weak trend while readings above 40 signal a strong trend.

Aroon
The Aroon indicator is a relatively new technical indicator that was created in 1995. The Aroon is a trending indicator used to measure whether a security is in an uptrend or downtrend and the magnitude of that trend. The indicator is also used to predict when a new trend is beginning.

The indicator is comprised of two lines, an "Aroon up" line (blue line) and an "Aroon down" line (red dotted line). The Aroon up line measures the amount of time it has been since the highest price during the time period. The Aroon down line, on the other hand, measures the amount of time since the lowest price during the time period. The number of periods that are used in the calculation is dependent on the time frame that the user wants to analyze.



Figure 1
Aroon Oscillator
An expansion of the Aroon is the Aroon oscillator, which simply plots the difference between the Aroon up and down lines by subtracting the two lines. This line is then plotted between a range of -100 and 100. The centerline at zero in the oscillator is considered to be a major signal line determining the trend. The higher the value of the oscillator from the centerline point, the more upward strength there is in the security; the lower the oscillator's value is from the centerline, the more downward pressure. A trend reversal is signaled when the oscillator crosses through the centerline. For example, when the oscillator goes from positive to negative, a downward trend is confirmed. Divergence is also used in the oscillator to predict trend reversals. A reversal warning is formed when the oscillator and the price trend are moving in an opposite direction.

The Aroon lines and Aroon oscillators are fairly simple concepts to understand but yield powerful information about trends. This is another great indicator to add to any technical trader's arsenal.

Moving Average Convergence
The moving average convergence divergence (MACD) is one of the most well known and used indicators in technical analysis. This indicator is comprised of two exponential moving averages, which help to measure momentum in the security. The MACD is simply the difference between these two moving averages plotted against a centerline. The centerline is the point at which the two moving averages are equal. Along with the MACD and the centerline, an exponential moving average of the MACD itself is plotted on the chart. The idea behind this momentum indicator is to measure short-term momentum compared to longer term momentum to help signal the current direction of momentum.




MACD= shorter term moving average - longer term moving average







When the MACD is positive, it signals that the shorter term moving average is above the longer term moving average and suggests upward momentum. The opposite holds true when the MACD is negative - this signals that the shorter term is below the longer and suggest downward momentum. When the MACD line crosses over the centerline, it signals a crossing in the moving averages. The most common moving average values used in the calculation are the 26-day and 12-day exponential moving averages. The signal line is commonly created by using a nine-day exponential moving average of the MACD values. These values can be adjusted to meet the needs of the technician and the security. For more volatile securities, shorter term averages are used while less volatile securities should have longer averages.

Another aspect to the MACD indicator that is often found on charts is the MACD histogram. The histogram is plotted on the centerline and represented by bars. Each bar is the difference between the MACD and the signal line or, in most cases, the nine-day exponential moving average. The higher the bars are in either direction, the more momentum behind the direction in which the bars point. (For more on this, see Moving Average Convergence Divergence - Part 1 and Part 2, and Trading The MACD Divergence.)

As you can see in Figure 2, one of the most common buy signals is generated when the MACD crosses above the signal line (blue dotted line), while sell signals often occur when the MACD crosses below the signal.


Figure 2

Relative Strength Index The relative strength index (RSI) is another one of the most used and well-known momentum indicators in technical analysis. RSI helps to signal overbought and oversold conditions in a security. The indicator is plotted in a range between zero and 100. A reading above 70 is used to suggest that a security is overbought, while a reading below 30 is used to suggest that it is oversold. This indicator helps traders to identify whether a security’s price has been unreasonably pushed to current levels and whether a reversal may be on the way.

Figure 3

The standard calculation for RSI uses 14 trading days as the basis, which can be adjusted to meet the needs of the user. If the trading period is adjusted to use fewer days, the RSI will be more volatile and will be used for shorter term trades. (To read more, see Momentum And The Relative Strength IndexRelative Strength Index And Its Failure-Swing Points and Getting To Know Oscillators - Part 1 and Part 2.)

On-Balance Volume The on-balance volume (OBV) indicator is a well-known technical indicator that reflect movements in volume. It is also one of the simplest volume indicators to compute and understand.

The OBV is calculated by taking the total volume for the trading period and assigning it a positive or negative value depending on whether the price is up or down during the trading period. When price is up during the trading period, the volume is assigned a positive value, while a negative value is assigned when the price is down for the period. The positive or negative volume total for the period is then added to a total that is accumulated from the start of the measure.

It is important to focus on the trend in the OBV - this is more important than the actual value of the OBV measure. This measure expands on the basic volume measure by combining volume and price movement. (For more insight, see Introduction To On-Balance Volume.)


Stochastic Oscillator
The stochastic oscillator is one of the most recognized momentum indicators used in technical analysis. The idea behind this indicator is that in an uptrend, the price should be closing near the highs of the trading range, signaling upward momentum in the security. In downtrends, the price should be closing near the lows of the trading range, signaling downward momentum.

The stochastic oscillator is plotted within a range of zero and 100 and signals overbought conditions above 80 and oversold conditions below 20. The stochastic oscillator contains two lines. The first line is the %K, which is essentially the raw measure used to formulate the idea of momentum behind the oscillator. The second line is the %D, which is simply a moving average of the %K. The %D line is considered to be the more important of the two lines as it is seen to produce better signals. The stochastic oscillator generally uses the past 14 trading periods in its calculation but can be adjusted to meet the needs of the user. (To read more, check out Getting To Know Oscillators - Part 3.)


Figure 4


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Technical Analysis: Moving Averages

By Cory JanssenChad Langager and Casey Murphy

Most chart patterns show a lot of variation in price movement. This can make it difficult for traders to get an idea of a security's overall trend. One simple method traders use to combat this is to apply moving averages. A moving average is the average price of a security over a set amount of time. By plotting a security's average price, the price movement is smoothed out. Once the day-to-day fluctuations are removed, traders are better able to identify the true trend and increase the probability that it will work in their favor. (To learn more, read the Moving Averages tutorial.)


Types of Moving Averages 
There are a number of different types of moving averages that vary in the way they are calculated, but how each average is interpreted remains the same. The calculations only differ in regards to the weighting that they place on the price data, shifting from equal weighting of each price point to more weight being placed on recent data. The three most common types of moving averages are simple, linear and exponential.

Simple Moving Average (SMA) This is the most common method used to calculate the moving average of prices. It simply takes the sum of all of the past closing prices over the time period and divides the result by the number of prices used in the calculation. For example, in a 10-day moving average, the last 10 closing prices are added together and then divided by 10. As you can see in Figure 1, a trader is able to make the average less responsive to changing prices by increasing the number of periods used in the calculation. Increasing the number of time periods in the calculation is one of the best ways to gauge the strength of the long-term trend and the likelihood that it will reverse.


Figure 1

Many individuals argue that the usefulness of this type of average is limited because each point in the data series has the same impact on the result regardless of where it occurs in the sequence. The critics argue that the most recent data is more important and, therefore, it should also have a higher weighting. This type of criticism has been one of the main factors leading to the invention of other forms of moving averages.

Linear Weighted Average This moving average indicator is the least common out of the three and is used to address the problem of the equal weighting. The linear weighted moving average is calculated by taking the sum of all the closing prices over a certain time period and multiplying them by the position of the data point and then dividing by the sum of the number of periods. For example, in a five-day linear weighted average, today's closing price is multiplied by five, yesterday's by four and so on until the first day in the period range is reached. These numbers are then added together and divided by the sum of the multipliers.

Exponential Moving Average (EMA) This moving average calculation uses a smoothing factor to place a higher weight on recent data points and is regarded as much more efficient than the linear weighted average. Having an understanding of the calculation is not generally required for most traders because most charting packages do the calculation for you. The most important thing to remember about the exponential moving average is that it is more responsive to new information relative to the simple moving average. This responsiveness is one of the key factors of why this is the moving average of choice among many technical traders. As you can see in Figure 2, a 15-period EMA rises and falls faster than a 15-period SMA. This slight difference doesn’t seem like much, but it is an important factor to be aware of since it can affect returns.

Figure 2

Major Uses of Moving Averages Moving averages are used to identify current trends and trend reversals as well as to set up support and resistance levels.

Moving averages can be used to quickly identify whether a security is moving in an uptrend or a downtrend depending on the direction of the moving average. As you can see in Figure 3, when a moving average is heading upward and the price is above it, the security is in an uptrend. Conversely, a downward sloping moving average with the price below can be used to signal a downtrend.

Figure 3

Another method of determining momentum is to look at the order of a pair of moving averages. When a short-term average is above a longer-term average, the trend is up. On the other hand, a long-term average above a shorter-term average signals a downward movement in the trend.

Moving average trend reversals are formed in two main ways: when the price moves through a moving average and when it moves through moving average crossovers. The first common signal is when the price moves through an important moving average. For example, when the price of a security that was in an uptrend falls below a 50-period moving average, like in Figure 4, it is a sign that the uptrend may be reversing.

Figure 4

The other signal of a trend reversal is when one moving average crosses through another. For example, as you can see in Figure 5, if the 15-day moving average crosses above the 50-day moving average, it is a positive sign that the price will start to increase.

Figure 5

If the periods used in the calculation are relatively short, for example 15 and 35, this could signal a short-term trend reversal. On the other hand, when two averages with relatively long time frames cross over (50 and 200, for example), this is used to suggest a long-term shift in trend.




Another major way moving averages are used is to identify support and resistance levels. It is not uncommon to see a stock that has been falling stop its decline and reverse direction once it hits the support of a major moving average. A move through a major moving average is often used as a signal by technical traders that the trend is reversing. For example, if the price breaks through the 200-day moving average in a downward direction, it is a signal that the uptrend is reversing.

Figure 6

Moving averages are a powerful tool for analyzing the trend in a security. They provide useful support and resistance points and are very easy to use. The most common time frames that are used when creating moving averages are the 200-day, 100-day, 50-day, 20-day and 10-day. The 200-day average is thought to be a good measure of a trading year, a 100-day average of a half a year, a 50-day average of a quarter of a year, a 20-day average of a month and 10-day average of two weeks.

Moving averages help technical traders smooth out some of the noise that is found in day-to-day price movements, giving traders a clearer view of the price trend. So far we have been focused on price movement, through charts and averages. In the next section, we'll look at some other techniques used to confirm price movement and patterns. 

Read more: http://www.investopedia.com/university/technical/techanalysis9.asp#ixzz1Ve8ezKLc