Advanced Candlestick Patterns

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Candlestick patterns provide insight into price action at a glance. While the basic candlestick patterns may provide some insight into what the market is thinking, these simpler patterns often generate false signals because they are so common.

Below, we will look at more advanced candlestick patterns that offer a higher degree of reliability. These include the island reversal, hook reversal, three gaps and kicker patterns.

Island Reversal Pattern

Island reversals are strong short-term trend reversal signals. They are identified by a gap between a reversal candlestick and two candles on either side of it. Here is a bullish example. The price is moving down, gaps lower, then gaps up and continues higher.

Image by Julie Bang © Investopedia 2020

Below is a bearish example of the same pattern.

Image by Julie Bang © Investopedia 2020

Entry: The island reversal shows indecision and a battle between bulls and bears. This is often characterized by a long-ended doji candle that has high volume occurring after an extended trend. It is after the gap and move in the opposite direction that a trade is taken. For the bearish pattern, enter short after the gap and move in the opposite direction. For the bullish pattern, enter long after the gap and move in the opposite direction.

Exit: An exit refers to both the target and stop-loss. With this pattern, you want to capture the thrust in price that follows that pattern, but once that thrust starts to weaken, it is time to get out. If the price moves back to fill the gap, then the reversal pattern is invalidated, and you should exit right away. Therefore, a stop-loss can be placed in the gap or near the “island” candle.

Hook Reversal Pattern

Hook reversals are short- to medium-term reversal patterns. They are identified by a higher low and a lower high compared with the previous day. Here are bullish and bearish examples of the patterns.

Image by Julie Bang © Investopedia 2020

Below is a bearish example of the same pattern.

Image by Julie Bang © Investopedia 2020

Entry: On the bullish pattern, there is downtrend, followed by two up days. The first or second up day breaks the high of the last down day. It is the second up day when a long trade should be taken, as the pattern indicates that the price could continue to rally. For the bearish pattern, there is an uptrend, followed by two down days, and either the first or second down day breaks the low of the last up day. It is the second down day on which a short trade should be taken, as the pattern indicates the price could slide lower.

Exit: Know your exit points before trading this pattern. In most cases, you will see a sharp reversal, as shown in the chart above. Anything to the contrary indicates that the pattern is not working, so exit immediately. Therefore, a stop-loss can be placed above the recent high for a bearish pattern, or below the recent low for the bullish pattern. We can’t know how long the reversal will last based on the pattern alone. Therefore, maintain the trade for as long as the price is moving in the expected direction. When the move weakens or a pattern in the opposite direction occurs, take your profit.

San-Ku (Three Gaps) Pattern

The San-ku pattern is an anticipatory trend reversal signal. The pattern does not indicate an exact point of reversal. Rather, it indicates that a reversal is likely to occur in the near future. The pattern is created by three trading sessions in a row with gaps in between. While each candle doesn’t necessarily have to be large, usually at least two or three of the candles are. 

Here is a three gaps pattern that signaled the end of an uptrend. The price is accelerating higher. There are three gaps higher in a row. Since such momentum can’t last forever, the buyers are eventually exhausted and price moves the other way.

Image by Julie Bang © Investopedia 2020

Entry: This pattern operates on the premise that the price is likely to retreat after a sharp move because traders will start taking profits. For additional evidence of the possibility of a reversal, look for extremes in the relative strength index (RSI) or await a crossover of the moving average convergence divergence (MACD).

Exit: This pattern anticipates a reversal. If it doesn’t happen, get out of any trade that was taken because of this pattern. Price must follow through in the anticipated direction in order for the signal to be valid. Stop-loss orders can be placed above the high of the pattern if going short. Ride the downward momentum while it lasts. Since it is unknown how long the sell-off will last, take profits when you see a reversal signal in the opposite direction or when the selling momentum slows.

Kicker Pattern

The kicker pattern is one of the strongest and most reliable candlestick patterns. It is characterized by a very sharp reversal in price during the span of two candlesticks. In this example, the price is moving lower, and then the trend is reversed by a gap and large candle in the opposite direction. The first large green candle is the kicker candle. The second strong green candle shows the follow through of the powerful pattern and helps confirm that a reversal is in place.

Image by Julie Bang © Investopedia 2020

Entry: This kind of price action tells you that one group of traders has overpowered the other and that a new trend is being established. Ideally, you should look for a gap between the first and second candles, along with high volume. Enter near the close of the kicker candle (first green candle in chart above) or near the open of the second candle.

Exit: Place a stop-loss below the low of the kicker candle. Because kicker candles can be so large, this may mean your stop-loss is a sizable distance away from your entry point. As for a target, this pattern often results in a strong trend change, which means that traders can ride the momentum of the kicker for a short-term trade, or even potentially a medium-term one, as the price could continue in the direction for some time.

Why These Patterns Work

All of these patterns are characterized by the price moving one way, and then candles in the opposite direction appear that significantly thrust into the prior trend. Such occurrences rattle the traders who were betting on the prior trend continuing, often forcing them out of their positions as their stop-loss levels are hit. This helps fuel a continued move in the new direction. This idea comes from a simpler candlestick concept called thrusting lines. For example, if there is an uptrend, if a down candle forms but stays within the upper half of the last upward candle, little damage is done to the trend. But if the down candle moves more than halfway down the last upward candle, then more than half the people who bought during that upward day are in a losing position, and that could lead to further selling.

The patterns above are even more powerful because the sharp change in direction leaves many people in losing positions that they need to get out of. Also, as traders spot the reversal, they jump into trades in the new direction. Both these factors – prior traders getting out and new traders getting in – help propel the price in the new direction.

All that said, attempting to trade reversals can be risky in any situation because you are trading against the prevailing trend. Keep the larger picture in mind. For example, during a strong multi-year uptrend, a reversal signal may indicate only a few days of selling before the bigger uptrend starts up again.

The Bottom Line

These advanced candlesticks are associated with strong price moves, and often gaps, which cause sharp shifts in direction. Traders can participate by noticing these patterns and acting quickly to get in as the price moves in the new direction. Candlestick patterns do not have price targets, which means traders shouldn’t get greedy. Ride the momentum for as long as it lasts, but get out if signs of trouble occur. Utilize stop-loss orders or a trailing stop-loss.

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The iPath S&P 500 VIX Futures

Written by admin. Posted in Technical Analysis

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The iPath S&P 500 VIX Short-Term Futures (VXX) is an exchange-traded note (ETN) designed to provide investors with exposure to equity market volatility. Shares of an ETN, which is structured as a debt instrument, can be bought and sold like shares of stock.

During times of high volatility in the stock market, the value of VXX shares will typically increase. On the other hand, quiet periods for the market will likely keep shares trending lower. Here’s why.

Understanding VXX

The iPath S&P 500 VIX Short-Term Futures ETN is legally structured as an exchange-traded note (ETN), which is similar in nature to an exchange-traded fund (ETF). The main difference between an ETF and an ETN is that, while the exchange-traded fund represents ownership in a basket of securities—stocks, bonds, or commodities—within the fund’s portfolio, the exchange-traded note is an uncollateralized debt instrument and has bond-like characteristics: investors can hold shares until maturity (which is Jan. 23, 2048, for the VXX ETN launched Jan. 19, 2018) and buy and sell before maturity.

Key Takeaways

  • The iPath S&P 500 VIX Short-Term Futures ETN is an investment security that provides exposure to the volatility of the U.S. stock market.
  • An ETN is like an ETF, but rather than holding a basket of stocks, bonds, or commodities, the exchange-traded note is a debt instrument with a maturity date.
  • VXX is designed to track the value of futures contracts on Cboe Volatility Index, which is a gauge of current volatility that is priced into S&P 500 index options.
  • VXX continuously rolls VIX futures contracts at each expiration, which can detract from performance.
  • VXX shares will typically increase in value when market volatility increases, but trend lower when volatility is muted.

Managed by Barclays Capital Incorporated, the iPath S&P 500 VIX Short-Term Futures ETN is linked to the daily price changes in Cboe Volatility Index, but in a complicated way. VIX is sometimes called the market’s “fear gauge” because it tends to rise during periods of market uncertainty and spike in times of panic. The index tracks changes in the expected volatility priced into S&P 500 Index options and is computed using an options-pricing formula.

Futures contracts are listed on Cboe Volatility Index, and VXX is an ETN that tracks the S&P 500 VIX Short-Term Futures Total Return Index, which is designed to offer exposure to long positions in Cboe Volatility Index futures contracts. Therefore, VXX does not track VIX itself (spot VIX), but the futures on VIX, which often trade at very different price levels depending on the time to maturity.

Risks

Since VXX must roll its futures contracts to rebalance the fund to the later contract, the fund manager is forced to sell the futures contracts that are closest to their expiration dates and buy the next dated contracts, which is a process called rolling. Since longer-dated futures contracts are often at higher levels than shorter-dated ones (during normal market conditions), the rolling activity can result in losses (as the ETN is forced to sell the lower-valued contracts and buy the higher-priced contracts).

In extreme market conditions, when volatility spikes, short-term VIX futures contracts can trade at higher levels compared to longer-term ones and the situation is called backwardation. More often, however, VIX futures are in contango and longer-term contracts trade at higher prices compared to short-term ones.

The iPath S&P 500 VIX Short-Term Futures ETN can be influenced by many unpredictable factors, and the price of VXX can fluctuate substantially between now and the maturity date. Influential factors include prevailing market prices of the U.S. stock market, S&P 500 Index options prices, supply and demand for VXX, as well as economic, political, regulatory or judicial events, or changes to interest rate policies. Basically, anything that affects stock prices can also affect volatility and VXX shares.

The Bottom Line

An investment in VXX might be suitable for investors who want to hedge their portfolios against a market downturn and speculators who have a high risk tolerance. However, since the iPath S&P 500 VIX Short-Term Futures ETN is only composed of derivative contracts, individuals should understand the Cboe Volatility Index and VIX futures before investing or trading the exchange-traded note.

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What Is T-Distribution in Probability? How Do You Use It?

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What Is a T-Distribution?

The t-distribution, also known as the Student’s t-distribution, is a type of probability distribution that is similar to the normal distribution with its bell shape but has heavier tails. It is used for estimating population parameters for small sample sizes or unknown variances. T-distributions have a greater chance for extreme values than normal distributions, and as a result have fatter tails.

The t-distribution is the basis for computing t-tests in statistics.

Key Takeaways

  • The t-distribution is a continuous probability distribution of the z-score when the estimated standard deviation is used in the denominator rather than the true standard deviation.
  • The t-distribution, like the normal distribution, is bell-shaped and symmetric, but it has heavier tails, which means that it tends to produce values that fall far from its mean.
  • T-tests are used in statistics to estimate significance.

What Does a T-Distribution Tell You? 

Tail heaviness is determined by a parameter of the t-distribution called degrees of freedom, with smaller values giving heavier tails, and with higher values making the t-distribution resemble a standard normal distribution with a mean of 0 and a standard deviation of 1.

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When a sample of n observations is taken from a normally distributed population having mean M and standard deviation D, the sample mean, m, and the sample standard deviation, d, will differ from M and D because of the randomness of the sample.

A z-score can be calculated with the population standard deviation as Z = (x – M)/D, and this value has the normal distribution with mean 0 and standard deviation 1. But when using the estimated standard deviation, a t-score is calculated as T = (m – M)/{d/sqrt(n)}, and the difference between d and D makes the distribution a t-distribution with (n – 1) degrees of freedom rather than the normal distribution with mean 0 and standard deviation 1. 

Example of How to Use a T-Distribution

Take the following example for how t-distributions are put to use in statistical analysis. First, remember that a confidence interval for the mean is a range of values, calculated from the data, meant to capture a “population” mean. This interval is m +- t*d/sqrt(n), where t is a critical value from the t-distribution.

For instance, a 95% confidence interval for the mean return of the Dow Jones Industrial Average (DJIA) in the 27 trading days prior to Sept. 11, 2001, is -0.33%, (+/- 2.055) * 1.07 / sqrt(27), giving a (persistent) mean return as some number between -0.75% and +0.09%. The number 2.055, the amount of standard errors to adjust by, is found from the t-distribution.

Because the t-distribution has fatter tails than a normal distribution, it can be used as a model for financial returns that exhibit excess kurtosis, which will allow for a more realistic calculation of Value at Risk (VaR) in such cases.

T-Distribution vs. Normal Distribution 

Normal distributions are used when the population distribution is assumed to be normal. The t-distribution is similar to the normal distribution, just with fatter tails. Both assume a normally distributed population. T-distributions thus have higher kurtosis than normal distributions. The probability of getting values very far from the mean is larger with a t-distribution than a normal distribution.

Normal vs. t-distribution.

Limitations of Using a T-Distribution 

The t-distribution can skew exactness relative to the normal distribution. Its shortcoming only arises when there’s a need for perfect normality. The t-distribution should only be used when the population standard deviation is not known. If the population standard deviation is known and the sample size is large enough, the normal distribution should be used for better results.

What is the t-distribution in statistics?

The t-distribution is used in statistics to estimate the population parameters for small sample sizes or undetermined variances. It is also referred to as the Student’s t-distribution.

When should the t-distribution be used?

The t-distribution should be used if the population sample size is small and the standard deviation is unknown. If not, then the normal distribution should be used.

What does normal distribution mean?

The Bottom Line

The t-distribution is used in statistics to estimate the significance of population parameters for small sample sizes or unknown variations. Like the normal distribution, it is bell-shaped and symmetric. Unlike normal distributions, it has heavier tails, which result in a greater chance for extreme values.

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What Technical Tools Can I Use to Measure Momentum?

Written by admin. Posted in Technical Analysis

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One of the main goals of every trader using technical analysis is to measure the strength of an asset’s momentum and the likelihood that it will continue. Momentum measures the speed at which the price of a security is moving, and there are a variety of indicators one can look at to measure this.

Most of the indicators used to measure momentum are interpreted by using certain values that suggest the asset may be getting overbought or oversold, which is a weakening of momentum, and would signal a reversal in the trend.

Momentum indicators are bound between two extreme levels. This is important because a cross through the center line of the indicator is interpreted to mean that momentum is either increasing or decreasing and that acts as an indicator to buy or sell.

Some of the main tools to measure momentum are the moving average convergence divergence (MACD), stochastics oscillator, price rate of change (ROC), and the relative strength index (RSI).

Moving Average Convergence Divergence (MACD)

The MACD depicts the relationship between two moving averages of a security’s price. It is calculated by subtracting the 26-period exponential moving average from the 12-period exponential moving average. When this is calculated, a MACD line is created and a nine-period MACD line, known as the “signal line,” is transposed over the MACD line. This then functions as a trigger to buy or sell depending on where the MACD crosses the signal line.

Rate of Change

The rate of change is the speed at which a variable changes over a specific period of time. It is expressed as a ratio between a change in one variable relative to a corresponding change in another. Graphically, the rate of change is represented by the slope of a line and mathematically as the percentage change in value over a specific period of time and represents the momentum of a variable.

To calculate the ROC, one takes the current value of a stock and divides it by the value from a previous period, then subtracts one and multiplies by 100 for the percentage figure.

Rate of Change = [(Current Value of Stock/Previous Value of Stock) – 1]*100

A security with a high momentum has a positive ROC and outperforms the market in the short term whereas a low momentum security has a negative ROC and is likely to decline in value, which can be seen as an indicator to sell.

Stochastic Oscillator

The stochastic oscillator seeks to measure the closing price of a security to a range of its historical prices over a defined period of time. It is used to generate overbought and oversold trading signals using a 0–100 bounded range of values. Values over 80 are considered to be in the overbought range and values below 20 are considered to be in the oversold range. When values reach these points, they typically indicate a reversal of the trend.

Relative Strength Index (RSI)

The RSI measures the magnitude of recent price changes. The RSI looks at average gains or losses over 14 trading periods. Much like the stochastic oscillator, it uses a bounded range value of 0 to 100 to mark overbought or oversold conditions in the price of an asset. Values that are 70 or above indicate an overbought security, whereas values of 30 and below indicate an oversold condition.

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