Even more on news driven trading

News driven trading is even more in vogue today than when I last mentioned it, judging from the increasing number of vendors (e.g. Ravenpack, Sensobeat, Recorded Future, etc.) and researchers pitching their wares. Not only are traditional financial and economic news deemed important, but researchers have found even blog posts (at least those on Seeking Alpha) and Twitter (Hat tip: Satya and William) to be predictive of stock prices.

One key ingredient to success in this type of trading is of course the ability to gain access to breaking news ahead of other traders. On the macroeconomic news front, the MIT Billion Prices project has spun off a company called PriceStats to deliver daily consumer product price index to subscribers. PriceStats compiles this index by continuously scanning online retailers' websites, and hopefully provides a preview of the official CPI numbers. Whether this is useful for futures and currencies traders is of course subject to their rigorous backtests, though the chart displayed on their website does suggest that the daily price index is a leading indicator of the CPI.

There is an important caveat to using news trading: not all news are equal. So another key ingredient to success is to carefully differentiate between the different types of news and backtest their predictive abilities separately. For example, I recall some research has indicated that an analyst downgrade of a stock from a "hold" to a "sell" rating has more impact than from "buy" to "hold" rating.

My own experience with news driven trading is that for all this trouble, the trading opportunities are relatively few compared to pure price driven trading, the consistency of success is low, and finally the profitability lifespan is short. If you have better experience, do share it with us. 

Part 5: How To Annualise Standard Deviation

As mentioned earlier, Historical Volatility is actually a standard deviation. The standard deviation can be calculated using historical price data in terms of daily, weekly, monthly, quarterly or yearly.
Historical Volatility is then expressed in terms of annualised standard deviation of % price returns, so that it can be compared across different stocks, regardless of the stock price and period used for HV calculation.

The formula to annualise the Standard Deviation (that may be calculated using either daily, weekly, monthly, quarterly or yearly) is as follow:



Where:
HV = Historical Volatility (annualised)
Sigma = Standard Deviation for a particular time period
T = Number of times (count) of such time periods in a year

So, the value of T in the above formula will depend on the time period of the data used.

In the example used in Part 3, we use daily price returns to calculate standard deviation. Assuming there are 252 trading days in a year, the value of T = 252 / 1 day = 252, because there are 252 times of 1-day period in a year. Hence, we can annualise it by using the following formula:



Just for the sake of giving more examples for better understanding of the value of T.
Suppose that 3-day price return data (i.e. the closing prices for every 3 days) is used to calculate the standard deviation. In this case, the value of T = 252 / 3 days = 84, because there are 84 times of 3-day period in a year. Hence, the formula will be:



In the case of monthly data is used (i.e. using month-end closing prices), the value of T will be 12 because there are 12 months in a year. Hence, the formula to annualise the monthly data is as follow:


For example:
If it is known that the �monthly� standard deviation of Stock ABC�s price returns is 15%, its Historical Volatility will be:




Note:
In Wikipedia, the formula to annualise the standard deviation is as follow:
http://en.wikipedia.org/wiki/Volatility_(finance)



Where:
Sigma = Annualised Volatility
Sigma SD = Standard Deviation for a particular time period
P = Time period of returns (expressed in terms of year)

To annualise a daily (i.e. 1 day) standard deviation, the value of P will be 1/252 (i.e. 1 day expressed in terms of year). So, the formula will be:




This Formula (6) is actually the same as Formula (2), because:




I found some people had commented that the formula in Wikipedia is not right. Actually, the formula is right. But we should understand what the logic is and understand the �definition� for the variables. Do compare the definition for T and P, and notice when we should multiply or divide when we want to annualise from daily standard deviation or to convert the annualised standard deviation into daily standard deviation. Just choose one that can make more sense to you.

Part 4: Understanding Standard Deviation

As Historical Volatility (HV) is calculated using standard deviation, it might be good to understand better about the concept of standard deviation, so that we can interpret the meaning of HV better.

Standard deviation is a measure of data variability or dispersion (i.e. how spread out the data points from its mean).
When the standard deviation is low, that means the data points tend to be very close to its mean (i.e. the data is spread out over a small range of values).
When the standard deviation is high, that means the data points tend to be far away from its mean (i.e. the data is spread out over a large range of values).

This can be understood from the formula below as well:


The numerator in the formula is the summation of the difference between individual data point and the mean of the data set.

If the data points tend to be very close to its mean (less spread out from the mean value), the difference between each individual data point and the mean would be relatively small, and hence the summation of all differences and, in turn, the standard deviation will be small too.

On the other hand, if the data points tend to be far away from its mean (more spread out from the mean value), the difference between each individual data point and the mean would be bigger, and hence the summation of all differences and, in turn, the standard deviation will be big too.

In denominator, �n � 1� is used instead of �n� to get an unbiased estimator, because this standard deviation is derived based on sample, not population. (If the population is used, then the dominator will be �n�).
Since the standard deviation is estimated based on sample, using �n � 1� as the denominator will �inflate� the standard deviation value to �capture more risks� due to estimating the standard deviation based on sample only instead of population. (Remember that to estimate HV, we�ll never be able to use �population�).
This adjustment is particularly essential when we estimate the standard deviation based on a small number of observations (i.e. when n is relatively small). However, when n is big, the difference between using �n � 1� or �n� is not very significant.

Standard Deviation of Normal Distribution
One important attribute of the standard deviation is that in a Normal Distribution, about 66.8% (two third) of the data are within one standard deviation of the mean, and about 95% of the data are within two standard deviations of the mean.

In Historical Volatility, price returns are assumed to be normally distributed, like shown in the picture below.


Source of picture: http://www.russell.com/us/glossary/analytics/standard_deviation.htm

Therefore, about two-third of the time, an individual return would fall within one standard deviation of the mean, and about 95% of the time, an individual return would fall within two standard deviation of the mean.

Part 3: Steps to Calculate HV using MS Excel (with Example)

Example for HV Calculation:
Suppose we have the daily stock price data and would want to calculate HV for 10-day period (10-day HV).
The daily stock price data is in the first two column of the table below:



Note:
Step 1, 2 and 3 in the table will be described below.

Steps to calculate Historical Volatility (using MS Excel):

Step 1: Calculate the Price Returns.
In this case for the above example, we use formula (4) mentioned in the earlier part (Part 2).
However, when the price change is quite small, the price returns calculated using formula (3) or (4) is quite similar.

Step 2: Calculate the Standard Deviation of the Price Returns, which will result in �Daily� Standard Deviation.
In MS Excel, formula �=STDDEV� can be used to calculate Standard Deviation as in formula (1) mentioned in Part 2.

If the period used for calculation is 10 days (like in the example), we�ll use the formula �=STDDEV� for a �rolling 10 days�.
Hence, the Standard Deviation for Day 11 will use Price Return data from Day 2 to Day 11; for Day 12 will be from Day 3 to Day 12; for Day 13 will be from Day 4 to Day 13, and so on.

Step 3: Annualise the �Daily� Standard Deviation in order to obtain the HV.
Since standard deviation is in daily and assuming there are 252 trading days in a year, we can annualise the �Daily� Standard Deviation by using the following formula:



Note:
Different number of days in a year may be used by different site, such as 254 days or 256 days.
252 days is the number of days used in ivolatility.com.


Here is the screen capture of the MS Excel formula used for the calculation in the table above.




Since HV is actually a standard deviation, in order to be able to interpret and use HV data better, it is good if we could have a better understanding on the concept of standard deviation, which will be discussed in the next part.

Continue to: Part 4: Understanding Standard Deviation

To view the list of all the series on �Historical Volatility�, please refer to:

Part 2: Formula to Calculate HV

As mentioned in Part 1, to obtain Historical Volatility, we need to calculate the standard deviation of the price returns using historical data (which can be in terms of daily, weekly, monthly, quarterly or yearly) over a certain period.
Commonly, the daily price data for the period of 10 days, 20 days, or 30 days are used.

Theoretically, the formula to calculate Historical Volatility (i.e. standard deviation of % stock�s returns) is as follow:

































After the standard deviation is calculated, we then need to annualize it.
To annualise the Standard Deviation resulted from formula (1) in order to get Historical Volatility (HV):









The formula above may look complicated. However, they are actually quite simple with the help of MS Excel to calculate it.
We�ll discuss it further along with the example in the next part.

Continue to Part 3: Steps to Calculate HV using MS Excel (with Example).

Part 1: Definition

Historical Volatility (HV) is a measure of the fluctuations of the stock price (i.e. how volatile the prices had fluctuated) over a certain period of time in the past.

Suppose the daily closing prices of Stock X and Y for the past 10 days are shown as follows:


As can be seen from the data above, regardless of the direction (up or down), the closing prices of Stock X in the past 10 days have fluctuated / changed by $2 to $5, whereas Stock Y by $1 to $3.
Since given the same initial stock price of $100, Stock X has shown bigger fluctuation in terms of dollar, Stock X is said to be more volatile than Stock Y.

Now, suppose Stock Z has an initial stock price of $50 and has also fluctuated by $2 to $5 like Stock X. In this case, given the same fluctuation in terms of dollar but lower stock price than Stock X, Stock Z will be considered to be more volatile than Stock X.
Hence, to get relative measurement of volatility and to compare volatilities among stocks with different prices, it is more accurate to reflect the price change in terms of percentage of the stock price, which is known as �Price Returns�.

Historical Volatility (HV) is therefore obtained by calculating the standard deviation of historical price changes (i.e. price returns) over a specified period in the past.

In Statistics, Standard Deviation measures the dispersion (spread) of a set of data points from its mean (average).
The more disperse (spread out) the data points from its mean, the higher the standard deviation. This deviation is referred by traders as �volatility�.
(Note: Further understanding about standard deviation will be discussed in the future article).

The higher the historical volatility, the bigger fluctuation the stock has experienced. As such, theoretically, the more likely the stock may make big movement in the future too, although this does not give any insight about the trend / which direction it will move to.

Depending of its uses/purposes or data availability, for calculation of HV, we can use historical price data in terms of daily, weekly, monthly, quarterly or yearly.
The common period used to calculate HV is 10 days, 20 days, or 30 days (using daily data).
To allow comparison between volatilities that are calculated using different period, the HV would be annualized.

By expressing HV using annualised standard deviation of % price returns, the figures can be used to compare the volatility across different stocks, regardless of the stock price and the period used for HV calculation.

In conclusion, Historical Volatility can be defined as follow:

Historical Volatility (HV) is the annualised standard deviation of historical price changes (i.e. returns) over a specified period in the past.

In the next posts, we will discuss:
* Formula to calculate HV
* Steps to calculate HV using MS Excel (with example)
* Further understanding about Standard Deviation

Market Analysis Video: This Reliable S&P Formation Could Make You Money

THREE BLACK CROWS - Bearish Candlestick Pattern









Three Black Crows (Bearish)

Three Black Crows is a top reversal / bearish reversal formation.
It could occur at the end of an uptrend, or during a bounce within a downtrend, or at the resistance.

This pattern consists of 3 consecutive long black candlesticks that appear in an upward price trend.
The opening price of Candles 2 and 3 of the pattern should be higher than the previous day's closing price (i.e. The prices open within the previous day�s body).
And all the 3 candles should close near or at their lows, and make new lows in each day.

Since all the 3 candles should close near or at their lows, the lower shadows of the Three Black Crows formation are normally short, or even no shadow in some cases.

This pattern is formed when the prices are in overbought condition, and indicate a sign that the bulls might have lack of conviction in the current uptrend. This uptrend has now reached levels where the bears have started to short the market.
On 1st day, due to increasing selling pressure, the price closes below its opening price.
On 2nd and 3rd days, it seems that as if the price wants to regain its former strength, as the price opens higher than the previous day�s close. However, by the end of each day, the sellers would regain control, causing the price to fall to a new closing low (i.e. the price closes at lower levels than previous day�s closing price).

The Three Black Crows pattern does not occur very frequently. However, when it does occur, traders / investors should be very alert, because their appearance indicates a period of strong selling pressure, and hence the reliability of this pattern is likely to be very high. If on the 4th day the stock is not able to show strength, then lower prices may potentially continue.

The reliability of this pattern tends to increase in the following conditions:
1) Longer black candlesticks� body.
However, it should not be too long as well because if the black candlesticks are too long (over-extended), traders / investors would worry that the market could be oversold by now and hence may pause accordingly.
2) Shorter lower shadow of the candles.
3) The opening prices of the 2nd and 3rd days can be anywhere within the previous day's body. However, it is better to see the opening prices to be below the middle of the previous day's body.
4) Increase in trading volume.

Although the reliability of this pattern is likely to be very high, but it is always better to substantiate this signal with other technical indicators to confirm that the momentum is actually changing.

Analysis Tool:
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Other Learning Resources:
* FREE Trading Educational Videos with Special Feature
* FREE Trading Educational Videos from Trading Experts

Related Posts:
* Learning Candlestick Charts
* Learning Charts Patterns
* Options Trading Basic � Part 1
* Options Trading Basic � Part 2
* Understanding Implied Volatility (IV)
* Option Greeks

One-Cancels-Other (OCO) & One-Cancels-All (OCA) Orders

One-Cancels-Other (OCO) Order is a group of orders that consists of two individual orders; if one of the orders is executed, then the other order will be automatically canceled.

One-Cancels-All (OCA) Order is a group of orders that consists of 2 or 3 individual orders. When any one of the orders in the group fulfils a trigger condition, the triggered order will be sent to the market for execution, whereas the other order(s) will be automatically canceled.
Basically, One-Cancels-Other (OCO) Order and One-Cancels-All (OCA) Order are similar. The difference may be that OCO Order consists of two individual orders in a group, while OCA Order can be made up of 2 or more individual orders in a group.

Generally, the following are some characteristics of One-Cancels-All (OCA) Order:
* Individual orders in one OCA group order can be either stocks or options, and the security type does not need to be consistent across all individual orders in the group. That means you can mix the orders for stocks or options in one OCA group order.
* Once one of order is triggered, the other remaining order(s) in the group will be canceled. The triggered order does not need to be executed for other remaining order(s) to be canceled.
* All orders in an OCA group order will be are held at the brokerage until triggered. Once triggered, the triggered order will be sent to the market as either Market Order or Limit Order as set by the trader/investor.
* If one order is partially filled, the remaining order(s) will be reduced proportionately to the remaining quantity of the unfilled order.
* If one order is canceled by the trader/investor before it gets triggered & executed, all the remaining order(s) will automatically be canceled as well.
* However, if one of the orders is rejected or canceled by the system, the remaining order(s) will NOT be canceled automatically.

Some examples of how you can make use of OCA order:

Example 1:
You want to enter into a long position in either a particular stock or an option in that stock.
You can place a One-Cancels-All (OCA) order that consists of the following orders:
a) Order 1 � Buy stock DEF with Limit Price of $30.00.
At the time you�re placing the order, stock DEF is trading at $32 / share.
b) Order 2 � Buy option DEFJKL of stock DEF with Limit Price of $1.60.
At the time you�re placing the order, Option DEFJKL is trading at $1.80 / contract.

If the price of stock DEF drops to $30.00 before option DEFJKL hits $1.60, Order 1 will be triggered and sent to the market as Buy Limit Order to buy stock DEF at $30.00 or lower. At the same time, Order 2 will be canceled automatically.
On the other hand, if the price of option DEFJKL drops to $1.60 before stock DEF hits $30, Order 2 will be triggered and sent to the market as Buy Limit Order to buy option DEFJKL at $1.60 or lower. At the same time, Order 1 will be canceled automatically.

Example 2:
You�ve own stock OPQ that is currently trading at $25.00. In order to manage the position without having to constantly monitor the market, you want to place Sell Limit Order at $32.00 to lock in profit when the price has reached your Profit Target Price, and Sell Stop Order at $20.00 to limit your losses in case the price moves against your expected direction. When one of the orders is triggered & executed and your position is closed as a result, the other order will be automatically canceled.
Note:
The purpose of the order in this example is actually similar to that of Bracketed Order, which is to allow you lock in profit and limit your losses.
The difference is that in this case, you place the above two opposite orders when you�ve already own the stock; whereas for a Bracketed Order, the above two opposite orders are submitted together with the buy order for opening the position.

Disclaimer:
This order is a more complicated order, not all brokerages can accept this order.
Even the procedures, rules, terms and/or how to place this order may vary from one to another brokerage. Hence, you need to check with your own brokers specifically for the details before placing such order.

For the list of other types of order, go to: Types of Orders in Trading.

Related Topics:
* Free Trading Educational Video: Learn Technical Tips from Dan Gramza
* Option Greek
* Understanding Implied Volatility (IV)
* Understanding Option�s Time Value
* Learning Candlestick Charts
* Learning Charts Patterns

FALLING WEDGE PATTERN � Part 2: Important Characteristics

Go back to Part 1: Falling Wedge Formation

Important Characteristics of Falling Wedge Pattern

Existing Trend:
There should be an established existing trend (either uptrend or downtrend). As mentioned before, Falling Wedge, which has a bullish bias, can be categorised as a reversal or continuation pattern.
As a reversal pattern, Falling Wedge normally occurs after an established downtrend. The slope of Falling Wedge will be downward, which is in the same direction as the prevailing trend.
As a continuation pattern, Falling Wedge occurs after following an uptrend. The slope of Falling Wedge will still be downward, but this slope will be against the prevailing uptrend.

Shape of Falling Wedge:
* There should be at least 4 reversal points to draw two converging lines, i.e. two successively lower peaks (highs) forming a downward sloping upper line and two successively lower troughs (lows) forming a downward sloping lower line. The descending upper line acts as resistance, while the descending lower line as support.
The more times the price tests each level, particularly on the upper side (resistance), the higher quality the wedge pattern is thought to be.
* The upper line (resistance) should have a sharper slope (more negative slope) than the lower line (support). If the lines were extended to the right, both lines would converge and slanted in a downward direction.
* There should be some distance between the two peaks as well as the two troughs.
In other words, prices should increase and hit the descending upper line then decline for at least twice (forming at least two peaks). Prices should drop and hit the descending lower line then bounce up for at least twice (forming at least two troughs).

Volume:
Volume should be diminishing; heavy at the beginning and contracts as the pattern develops.
However, when breakout occurs, there should be a significant increase in volume.
Monitoring the existence of significantly higher volume to confirm a valid breakout for Falling Wedge is more crucial than for Rising Wedge.
Without a significant surge in volume, the upward breakout above the resistance of Falling Wedge would lack conviction and be more vulnerable to failure.

Duration:
This pattern is generally a longer term pattern. It takes from about 3 to 6 months to form.
If the pattern duration is less than 3 weeks, it can be considered as a pennant.

Breakout Direction:
For Falling Wedge, the breakout usually happens to the upside, hence it is considered as a bullish pattern. However, the breakout might also occur to the downside.

Breakout Confirmation:
Sometimes, the price may also make a deceptive/invalid breakout whereby it touches above the upper (resistance), but then it moves back down again & resumes downtrend.
One possible way to prevent this is by having certain criteria to confirm if the breakout is a valid one.
A minimum penetration criteria for a breakout should be the price closes ABOVE the upper (resistance) line, not just an intraday penetration.
Some traders may apply certain price criteria (e.g. 3% - 5% break from the upper (resistance) line depending on the stock�s volatility) or time criteria (e.g. the breakout is sustained for 3 days) to confirm the validity of the breakout.

Potential Price Target:
For Wedge pattern, there is no price target, as it is difficult to project specific potential price target in this pattern.

Return to Breakout Level:
After the breakout occurs, the price may sometimes return to the breakout level for an immediate test of this new resistance before continuing their moves in the direction of the breakout. (Remember that the support now has turned into new resistance level).
However, the prices should not re-enter the wedge and move outside the opposite line of the breakout line. When this happens, it means the pattern has failed or considered in invalid.

To find out more about other Chart Patterns, please refer to:
Learning Charts Patterns

Analysis Tool:
Get Free Trend Analysis for your favorite symbols

Other Learning Resources:
* FREE Trading Educational Videos with Special Feature
Free Trading Videos:
* FREE Trading Educational Videos from Trading Experts

Related Topics:
* Learning Candlestick Charts
* Options Trading Basic � Part 1
* Options Trading Basic � Part 2
* Understanding Option Greek
* Understanding Implied Volatility (IV)
* Understanding Option�s Time Value

FALLING WEDGE � Part 1: Formation

Falling Wedge is generally regarded as a bullish pattern. The breakout usually occurs upwards through the wedge and then move on into upward trend.
Falling Wedge can be categorised as a reversal or continuation pattern.

As a reversal pattern, Falling Wedge normally occurs after an established downtrend. The slope of Falling Wedge will be downward, which is in the same direction as the prevailing trend.

As a continuation pattern, Falling Wedge occurs after following an uptrend. The slope of Falling Wedge will still be downward, but this slope will be against the prevailing uptrend.

Regardless of whether it occurs as reversal or continuation pattern, Falling Wedge is regarded as bullish pattern.

However, Falling Wedge is not seen as a popular pattern, as the failure rate of this pattern is quite high and more difficult to trade.

The Formation of Falling Wedge



Falling Wedge Pattern contains at least two lower highs (peaks) and two lower lows (troughs). When the peak as well as trough points are connected by separate lines and then extended to the right, they would respectively form a descending upper line and a descending lower line, whereby the upper line should have a sharper slope than the lower line. As such, both lines would converge and look slanted in a downward direction, creating a pattern that looks like a Falling Wedge.
In this case, the descending upper line acts as resistance, whereas the descending lower line as support.
When the lower line (support) is noticeably flatter as the pattern develops, it indicates that selling pressure is weakening, as sellers are not really able to push the price down further each time the price is under pressure.

The completion of the pattern occurs when prices break out through the upper line (i.e. breakout to the upside) with a high volume.

Continue to Part 2: Important Characteristics of Falling Wedge pattern.

To find out more about other Chart Patterns, please refer to:
Learning Charts Patterns

Analysis Tool:
Get Free Trend Analysis for your favorite symbols

Other Learning Resources:
* FREE Trading Educational Videos with Special Feature

Related Topics:
* Learning Candlestick Charts
* Options Trading Basic � Part 1
* Options Trading Basic � Part 2
* Understanding Option Greek
* Understanding Implied Volatility (IV)
* Understanding Option�s Time Value

Market Analysis Video: Updates on Dow and Nasdaq Markets

Watch the following videos to see what�s happening in both of the markets:
* Updates on Dow market
If nothing else, watch this video as this could be one of the most important weeks for the DOW and its future. This 3-minute video will share both interesting and educational analysis from both a Fibonacci and Japanese candlestick point of view.
The weekly chart on the DOW is flashing the same Japanese candlestick signal that it had earlier in April of this year. Back then the DOW dropped from 11,200 to 9,700 in the space of just 10 weeks!

* Updates on Nasdaq market
This video shows an eerily similar pattern in the NASDAQ. If the pattern repeats, then it certainly is going to be a rough 3rd and 4th quarter for most investors.
The video would also give you exact points and the formation that could make a huge difference to most people's portfolios.

Other Learning Resources:
* FREE Trading Educational Videos with Special Feature
* FREE Trading Educational Videos: Learn Technical Analysis from Award Winning Author John Murphy

Related Topics:
* Options Trading Basic � Part 1
* Options Trading Basic � Part 2
* Understanding Implied Volatility (IV)
* Option Greeks
* Understanding Option�s Time Value
* Learning Charts Patterns
* Learning Candlestick Charts

Market Analysis Video: Make or Break in the S&P Market

Bracketed Order

Bracketed Order allows traders/investors to manage the trade/position by �bracketing" an order for opening a position (i.e. the �main order�) with two opposite �side orders� for closing the position in order to limit losses and lock in profits, without having to constantly follow the position.
The order quantity for the �side orders� matches the original order quantity of the �main order�.

When the Bracketed Order is placed, the trader/investor must determine the corresponding prices for all the 3 component of the Bracketed Order (One �main order� for opening position and two opposite �side orders� that bracketed the �main order� for closing the position).
When one of the side orders is being executed, the other side of the order will automatically be cancelled.

Depending on the �main order� for opening a position, there are 2 types of Bracketed Orders:

1) BUY ORDER
The Buy Order will open the position by buying a security.
The price for the Buy Order can be set as a Market Order (to buy at the market price) or Limit Order (to buy at the Limit Price or lower).
The Buy Order will then be bracketed by:
a) Sell Limit Order: The Limit Price to sell should be above the Buy Order�s Price.
This Sell Limit Price serves as Profit Target in order to lock in profits.
b) Sell Stop Order: The Stop Price should be below the Buy Order�s Price.
This order serves to limit losses.
Other than Sell Stop Order, you can also use Sell Stop Limit Order or Sell Trailing Stop Order for this purpose.

2) SELL ORDER
The Sell Order will open the position by selling a security.
The price for the Sell Order can be set as a Market Order (to sell at the market price) or Limit Order (to sell at the Limit Price or higher).
The Sell Order will then be bracketed by:
a) Buy Limit Order: The Limit Price to buy should be lower the Sell Order�s Price.
This Buy Limit Price serves as Profit Target in order to lock in profits.
b) Buy Stop Order: The Stop Price should be above the Sell Order�s Price.
This order serves to limit losses.
Other than Buy Stop Order, you can also use Buy Stop Limit Order or Buy Trailing Stop Order for this purpose.

Example 1:
You place a Sell Order for Stock STU at the price of $20, along with a Buy Limit Order with Limit Price of $15 and a Buy Stop Order with Stop Price of $25.

If the price falls to $15 or lower (and never go up touching the Stop Price at $25), the Buy Limit Order will be triggered and sent to market to buy back the shares at $15 or lower. You will then realize at least $5 profit. In this case, the Buy Stop Order at $25 will automatically be cancelled.

If the price increases to $25 or higher (and never go down touching the Sell Limit Price at $15), the Buy Stop Order will be triggered and sent to market to buy back the shares at the market price. You will then realize at least $5 losses. In this case, the Buy Limit Order at $15 will automatically be cancelled.

Example 2:
You place a Buy Order Call Options of DEF at the price of $3.00, along with a Sell Limit Order with Limit Price of $4.00, and a Sell Trailing Stop Order with Trailing Amount of $0.50.
Since the current option premium is $3.00, the Initial Stop Price will be $2.50 (= $3.00 - $0.50).

If the option premium increases to $4.00 or higher, the Sell Limit Order will be triggered and sent to market to sell the options at $4.00 or higher. You will then realize at least $1.00 profit. In this case, the Trailing Stop Order will automatically be cancelled.

If the option premium increases to $3.20 first, that it starts to fall. In this case, the Stop Price would reset to $2.70 (= $3.20 - $0.50). It the premium continues to drop and pass $2.70 (the new Stop Price), the Sell Stop Order will be triggered and sent to market to sell the shares at the market price. You will then realize at least $0.30 losses. In this case, the Sell Limit Order at $4.00 will automatically be cancelled.

Advantage & Disadvantage of Bracketed Order:
The advantage of Bracketed Order is that it allows the trader/investor to manage the trade without having to constantly follow the position. They also can control how much they�re willing to lose and determine what the Profit Target Price is, based on their planned risk/reward ratio. Hence, this can help take some emotions out of your trading decision.

However, the disadvantage of Bracketed Order is that since you place a limit on how much profit you want to make, you might potentially �lose money� should the price continues to move to your expected direction. In order words, you could not let the profits run using this kind of order.

Disclaimer:
This order is a more complicated order, not all brokerages can accept this order.
Even the procedures, rules, terms and/or how to place this order may vary from one to another brokerage. Hence, you need to check with your own brokers specifically for the details before placing such order.

For the list of other types of order, go to: Types of Orders in Trading.

Market Analysis Video: Intense Bull vs Bear Battle in the Current S&P Market

The battle between the bulls and the bears continues in the S&P 500 with neither side able to gain the upper hand. This choppy trading action will eventually lead to a large move one way or the other. The bulls are betting that we are headed higher and the bears are betting that the economy is going to tank.

This new video shares some of the key technical points that are still in play and where the market needs to go in order to break out of the current logjam that it's in.

Other Learning Resources:
* FREE Trading Educational Videos with Special Feature
* FREE Trading Educational Videos: Learn Technical Analysis from Award Winning Author John Murphy

Related Topics:

* Options Trading Basic � Part 1
* Options Trading Basic � Part 2
* Understanding Implied Volatility (IV)
* Option Greeks
* Understanding Option�s Time Value
* Learning Charts Patterns
* Learning Candlestick Charts
* Getting Started Trading

THREE WHITE SOLDIERS - Bullish Candlestick Pattern


Three White Soldiers is a 3-day bottom reversal / bullish reversal formation.
It could occur at the end of a downtrend, or during a pullback within an uptrend, or at the support.

The appearance of Three White Soldiers pattern signals that higher prices are likely ahead.
This pattern is more powerful particularly when it appears after an extended decline followed by sideways movement.

Three White Soldiers pattern consists of 3 consecutive long white candlesticks that occur during a downward price trend.
The opening price of Candles 2 and 3 of the pattern should be lower than the previous day's closing price (i.e. The prices open within the previous day�s body).
And all the 3 candles should close near or at their highs, and make new highs in each day.

Since all the 3 candles should close near or at their highs, the upper shadows of the Three White Soldiers formation are normally short, or even no shadow in some cases.

This pattern is formed when the prices are in oversold condition, and indicate a sign that the bears might have lack of conviction in the current downtrend.
On 1st day, due to increasing buying pressure, the price closes above its opening price.
On 2nd and 3rd days, it seems that as if the bears want to regain controls, as the price opens lower than the previous day�s close. However, by the end of each day, the buyers� strength overcomes the earlier bears, causing the price to move up to a new closing high (i.e. the price closes at higher levels than the previous day�s closing price).

The Three White Soldiers pattern does not occur very frequently. However, when it does occur, traders / investors should be very alert, because their appearance indicates a period of strong buying pressure, and hence the reliability of this pattern is likely to be very high.

The reliability of this pattern tends to increase in the following conditions:
1) Longer white candlesticks� body.
However, it should not be too long as well because if the white candlesticks are too long (over-extended), traders / investors would worry that the market could be overbought by now and hence may pause accordingly.
2) Shorter upper shadow of the candles.
3) The opening prices of the 2nd and 3rd days can be anywhere within the previous day's body. However, it is better to see the opening prices to be above the middle of the previous day's body. The higher a candle opens compared to the prior candle, the stronger the chance of a continued reversal.
4) Increase in trading volume.

Although the reliability of this pattern is likely to be very high, but it is always better to substantiate this signal with other technical indicators to confirm that the momentum is actually changing.

To learn about other major candlestick patterns, please refer to the following:
Learning Candlestick Charts

Other Learning Resources:
* FREE Trading Educational Videos with Special Feature
* FREE Trading Educational Videos: Learn Technical Analysis from Award Winning Author John Murphy

Related Topics:
* Options Trading Basic � Part 1
* Options Trading Basic � Part 2
* Understanding Implied Volatility (IV)
* Option Greeks
* Understanding Option�s Time Value
* Learning Charts Patterns
* Getting Started Trading

Market Analysis Video: Determining Potential Downside Target for S&P Market

This new video shows how to use the combined analysis of Moving Average Crossover, Fibonacci Retracement, RSI (Overbought/Oversold), and Chart Pattern (i.e. Head and Shoulder pattern) in trying to predict where the market is moving to and the potential target price.

Other Learning Resources:
* FREE Trading Educational Videos: Learn Technical Analysis from Award Winning Author John Murphy
* FREE Trading Educational Videos with Special Feature

Related Topics:
* Learning Charts Patterns
* Learning Candlestick Charts
* Options Trading Basic � Part 1
* Options Trading Basic � Part 2
* Option Greeks
* Understanding Implied Volatility (IV)
* Understanding Option�s Time Value

Trading Educational Video: BEARISH ENGULFING Candlestick Pattern

Japanese Candlestick patterns have been popular and widely used by traders. There are several major Candlestick Patterns which most technical traders should be familiar with, such as: Bullish vs. Bearish Engulfing, Harami Bullish vs. Bearish, Piercing Line vs. Dark Cloud Cover, Hammer vs. Hanging Man, Inverted Hammer vs. Shooting Star, etc.

This video shows the real current example for BEARISH ENGULFING Candlestick Pattern in the Nasdaq market. Do watch it to see the more detail analysis and why you should pay attention to this pattern when it appears in the chart.

You may want to read this previous article to find out more about Bullish & Bearish Engulfing Candlestick Pattern.

To learn about other Japanese Candlestick pattern, please refer to the following:
Learning Candlestick Charts

Other Learning Resources:
* FREE Trading Educational Videos with Special Feature
* FREE Trading Educational Videos: Learn Technical Analysis from Award Winning Author John Murphy

Related Topics:
* Learning Charts Patterns
* Options Trading Basic � Part 1
* Options Trading Basic � Part 2
* Option Greeks
* Understanding Implied Volatility (IV)
* Understanding Option�s Time Value

Trading Educational Video: How To Use FIBONACCI RETRACEMENT and MARKET DIVERGENCE in Your Trading

Some of the powerful tools in the technical analysis which many traders use to help them in their trading are Fibonacci Retracement and Market Divergences.

How to make use of these two powerful tools in your trading?
The following are two videos that discuss and explain in very detail about how to use Fibonacci Retracement and Market Divergence to help in your trading analysis.

* Fibonacci Retracements Explained
* Market divergences Explained

I believe the explanation in the videos will be very useful & educational, along with the real examples from the current markets.
Happy learning!

Other Learning Resources:
* FREE Trading Educational Videos with Special Feature
* FREE Trading Educational Videos: Learn Technical Analysis from Award Winning Author John Murphy

Related Topics:
* Options Trading Basic � Part 1
* Options Trading Basic � Part 2
* Understanding Implied Volatility (IV)
* Option Greeks
* Understanding Option�s Time Value
* Learning Candlestick Charts
* Learning Charts Patterns
* Getting Started Trading

The Battle of the Bull and Bears in S&P 500 market

The battle between the Bulls and Bears continues with very choppy trading action. The rally from a potential double bottom is a cause for concern for the Bears. However, the Bulls are in a similar situation as they have to prove their case with sustained market action.

This video shares some of important key levels in the S&P 500 market. Volume continues to be light and that is why the markets are moving around and are so volatile at the moment.

Analysis Tool:
Get Free Trend Analysis for your favorite symbols

Other Learning Resources:
* FREE Trading Educational Videos with Special Feature
* FREE Trading Educational Videos: Learn Technical Analysis from Award Winning Author John Murphy