Wednesday, October 31, 2012

how can one trade with delivery.

Hi everyone,

Few weeks before i had a look on this new function of moneycontrol where they show delivery and traded quantity of the stock and they also represent it in graph form which give us a better view. This help us to know  the psychology of mass, as when there is increase in delivery of the stock as compared to previous days we get an indication that traders are positive on the stock and there will be a positive movement in this stock. For example i was tracking the stock of Dish TV and price was falling from 1st week of october and delivery quantity was also increasing. I avoided the % of delivery to total quantity as it was same on an average but in term of volume it was increasing.



http://www.moneycontrol.com/deliverable-volumes/dishtv/DTV

Then i had a technical look at the chart of the stock and found that this stock can take  a support 70 according to Fibonacci retracement. after taking the support at 70.33 this stock made a change in the trend and turned bullish, even though the market sentiment was not so good but still this stock sustained the upside movement and made a high of 75.85 on 31/10/12. So if u are trading for short term this tool can be useful for trading tool.

This is just for educational purpose which i found worth sharing. I  would suggest to follow this tool and understand before using. Will be eager to understand more on this from your side if u get to know more about how to use this tool much better. Thanks!

Source: Moneycontrol.com
 

Monday, October 29, 2012

Why to use Delta, Gamma, Theta, Vega & Rho for Option.

The Greeks have given us feta cheese, philosophy, mathematics, and the Oedipal complex. They also tell us how much risk our option positions have.
There are ways of estimating the risks associated with options, such as the risk of the stock price moving up or down, implied volatility moving up or down, or how much money is made or lost as time passes. They are numbers generated by mathematical formulas. Collectively, they are known as the "greeks", because most use Greek letters as names. Each greek estimates the risk for one variable: delta measures the change in the option price due to a change in the stock price, gamma measures the change in the option delta due to a change in the stock price, theta measures the change in the option price due to time passing, vega measures the change in the option price due to volatility changing, and rho measures the change in the option price due to a change in interest rates.

Delta
The first and most commonly used greek is "delta". For the record, and contrary to what is frequently written and said about it, delta is NOT the probability that the option will expire ITM. Simply, delta is a number that measures how much the theoretical value of an option will change if the underlying stock moves up or down $1.00. Positive delta means that the option position will rise in value if the stock price rises, and drop in value if the stock price falls. Negative delta means that the option position will theoretically rise in value if the stock price falls, and theoretically drop in value if the stock price rises.
The delta of a call can range from 0.00 to 1.00; the delta of a put can range from 0.00 to –1.00. Long calls have positive delta; short calls have negative delta. Long puts have negative delta; short puts have positive delta. Long stock has positive delta; short stock has negative delta. The closer an option's delta is to 1.00 or –1.00, the more the price of the option responds like actual long or short stock when the stock price moves.
So, if the XYZ Aug 50 call has a value of $2.00 and a delta of +.45 with the price of XYZ at $48, if XYZ rises to $49, the value of the XYZ Aug 50 call will theoretically rise to $2.45. If XYZ falls to $47, the value of the XYZ Aug 50 call will theoretically drop to $1.55.
If the XYZ Aug 50 put has a value of $3.75 and a delta of -.55 with the price of XYZ at $48, if XYZ rises to $49, the value of the XYZ Aug 50 put will drop to $3.20. If XYZ falls to $47, the value of the XYZ Aug 50 put will rise to $4.30.
Now, these numbers assume that nothing else changes, such as a rise or fall in volatility or interest rates, or time passing. Changes in any one of these can change delta, even if the price of the stock doesn't change.
Note that the delta of the XYZ Aug 50 call is .45 and the delta of the Aug 50 put is -.55. The sum of their absolute values is 1.00 (|.45| + |-.55| = 1.00). This is true for every call and put at every strike. The intuition behind this is that long stock has a delta of +1.00. Synthetic long stock is long a call and short a put at the same strike in the same month. Therefore, the delta of a long call plus the delta of a short put must equal the delta of long stock. In the case of the XYZ Aug call and put, .45 + .55 = 1.00. Remember, a short put has a positive delta. (Note: delta can be calculated with different formulas, which won't be discussed here. Using the Black-Scholes model for European-style options, the sum of the absolute values of the call and put is 1.00. But using other models for American-style options and under certain circumstances, the sum of the absolute values of the call and put can be slightly less or slightly more than 1.00.)
You can add, subtract, and multiply deltas to calculate the delta of a position of options and stock. The position delta is a way to see the risk/reward characteristics of your position in terms of shares of stock, and it's how thinkorswim presents it to you on the Position Statement on the Monitor page. The calculation is very straightforward. Position delta = option theoretical delta * quantity of option contracts * number of shares of stock per option contract. (The number of shares of stock per option contract in the U.S. is usually 100 shares. But it can be more or less, due to stock splits or mergers.) thinkorswim performs this calculation for each option in your position, then adds them together for each stock.
So, if you are long 5 of the XYZ Aug 50 calls, each with a delta of +.45, and short 100 shares of XYZ stock, you will have a position delta of +125. (Short 100 shares of stock = -100 deltas, long 5 calls with delta +.45, with 100 shares of stock per contract = +225. –100 + 225 = +125)
A way to interpret this delta is that if the price of XYZ rises $1, you will theoretically make $125. If XYZ falls $1, you will theoretically lose $125. IMPORTANT: These numbers are theoretical. In reality, delta is accurate for only very small changes in the stock price. Nevertheless, it is still a very useful tool for a $1.00 change, and is a good way to evaluate your risk.
An ATM option has a delta close to .50. The more ITM an option is, the closer its delta is to 1.00 (for calls) or –1.00 (for puts). The more OTM and option is, the closer its delta is to 0.00.
Delta is sensitive to changes in volatility and time to expiration. The delta of ATM options is relatively immune to changes in time and volatility. This means an option with 120 days to expiration and an option with 20 days to expiration both have deltas close to .50. But the more ITM or OTM an option is, the more sensitive its delta is to changes in volatility or time to expiration. Fewer days to expiration or a decrease in volatility push the deltas of ITM calls closer to 1.00 (-1.00 for puts) and the deltas of OTM options closer to 0.00. So an ITM option with 120 days to expiration and a delta of .80 could see its delta grow to .99 with only a couple days to expiration without the stock moving at all.
The delta of an option depends largely on the price of the stock relative to the strike price. Therefore, when the stock price changes, the delta of the option changes. That's why gamma is important.

Gamma
Gamma is an estimate of how much the delta of an option changes when the price of the stock moves $1.00. As a tool, gamma can tell you how "stable" your delta is. A big gamma means that your delta can start changing dramatically for even a small move in the stock price.
Long calls and long puts both always have positive gamma. Short calls and short puts both always have negative gamma. Stock has zero gamma because its delta is always 1.00 – it never changes. Positive gamma means that the delta of long calls will become more positive and move toward +1.00 when the stock prices rises, and less positive and move toward 0.00 when the stock price falls. It means that the delta of long puts will become more negative and move toward –1.00 when the stock price falls, and less negative and move toward 0.00 when the stock price rises. The reverse is true for short gamma.
For example, the XYZ Aug 50 call has a delta of +.45, and the XYZ Aug 50 put has a delta of -.55, with the price of XYZ at $48.00. The gamma for both the XYZ Aug 50 call and put is .07. If XYZ moves up $1.00 to $49.00, the delta of the XYZ Aug 50 call becomes +.52 (+.45 + ($1 * .07), and the delta of the XYZ Aug 50 put becomes -.48 (-.55 + ($1 * .07). If XYZ drops $1.00 to $47.00, the delta of the XYZ Aug 50 call becomes +.38 (+.45 + (-$1 * .07), and the delta of the XYZ Aug 50 put becomes -.62 (-.55 + (-$1 * .07).
Position gamma measures how much the delta of a position changes when the stock price moves $1.00. Position gamma is calculated much in the same way as position delta. In the Position Statement on the Monitor page, thinkorswim takes the gamma of each option in your position, multiplies it by the number of contracts and the number of shares of stock per option contract, then adds them together.
Just as delta changes, so does gamma. If you were to look at a graph of gamma versus the strike prices of the options, it would look like a hill, the top of which is very near the ATM strike. Gamma is highest for ATM options, and is progressively lower as options are ITM and OTM. This means that the delta of ATM options changes the most when the stock price moves up or down. Let's look at a deep ITM call option (delta near 1.00), an ATM call option (delta near .50), and an OTM call option (delta near .10). If the stock rises, the value of the ITM call will increase the most because it acts most like stock. Even though the ITM call has positive gamma, its delta really doesn't get much closer to 1.00 than before the stock rose. The value of the OTM call will also increase, and its delta will probably increase as well, but it will still be a long way from 1.00. The value of the ATM option increases, and its delta changes the most. That is, its delta is moving closer to 1.00 much quicker than the delta of the OTM call. Practically speaking, the ATM call can provide a good balance of potential profit if the stock rises versus loss if the stock falls. The OTM call will not make as much money if the stock rises, and the ITM will lose more money if the stock falls.
Judging how gamma changes as time passes and volatility changes depends on whether the option is ITM, ATM or OTM. Time passing or a decrease in volatility acts as if it's "pulling up" the top of the hill on the graph of gamma, and making the slope away from the top steeper. What happens is that the ATM gamma increases, but the ITM and OTM gamma decreases. The gamma of ATM options is higher when either volatility is lower or there are fewer days to expiration. But if an option is sufficiently OTM or ITM, the gamma is also lower when volatility is lower or there are fewer days to expiration.
What this all means to the option trader is that a position with positive gamma is relatively safe, that is, it will generate the deltas that benefit from an up or down move in the stock. But a position with negative gamma can be dangerous. It will generate deltas that will hurt you in an up or down move in the stock. But all positions that have negative gamma are not all dangerous. For example, a short straddle and a long ATM butterfly both have negative gamma. But the short straddle presents unlimited risk if the stock price moves up or down. The long ATM butterfly will lose money if the stock price moves up or down, but the losses are limited to the total cost of the butterfly.
Gamma is a good reason to look at a profit/loss graph of your position over a wide range of possible stock prices. The thinkorswim Analysis page will help you see how risky a negative gamma position might be.


Theta
Theta, a.k.a. time decay, is an estimate of how much the theoretical value of an option decreases when 1 day passes and there is no move in either the stock price or volatility. Theta is used to estimate how much an option's extrinsic value is whittled away by the always-constant passage of time. The theta for a call and put at the same strike price and the same expiration month are not equal. Without going into detail, the difference in theta between calls and puts depends on the cost of carry for the underlying stock. When the cost of carry for the stock is positive (i.e. dividend yield is less than the interest rate) theta for the call is higher than the put. When the cost of carry for the stock is negative (i.e. dividend yield is greater than the interest rate) theta for the call is lower than the put.
Long calls and long puts always have negative theta. Short calls and short puts always have positive theta. Stock has zero theta – its value is not eroded by time. All other things being equal, an option with more days to expiration will have more extrinsic value than an option with fewer days to expiration. The difference between the extrinsic value of the option with more days to expiration and the option with fewer days to expiration is due to theta. Therefore, it makes sense that long options have negative theta and short options have positive theta. If options are continuously losing their extrinsic value, a long option position will lose money because of theta, while a short option position will make money because of theta.
But theta doesn't reduce an option's value in an even rate. Theta has much more impact on an option with fewer days to expiration than an option with more days to expiration. For example, the XYZ Oct 75 put is worth $3.00, has 20 days until expiration and has a theta of -.15. The XYZ Dec 75 put is worth $4.75, has 80 days until expiration and has a theta of -.03. If one day passes, and the price of XYZ stock doesn't change, and there is no change in the implied volatility of either option, the value of the XYZ Oct 75 put will drop by $0.15 to $2.85, and the value of the XYZ Dec 75 put will drop by $0.03 to $4.72.
Theta is highest for ATM options, and is progressively lower as options are ITM and OTM. This makes sense because ATM options have the highest extrinsic value, so they have more extrinsic value to lose over time than an ITM or OTM option. The theta of options is higher when either volatility is lower or there are fewer days to expiration. If you think about gamma in relation to theta, a position of long options that has the highest positive gamma also has the highest negative theta. There is a trade-off between gamma and theta. Think of long gamma as the stuff that provides the power to a position to make money if the stock price starts to move big (think of a long straddle). But theta is the price you pay for all that power. The longer the stock price does not move big, the more theta will hurt your position.
Position theta measures how much the value of a position changes when one day passes. Position theta is calculated much in the same way as position delta, but instead of using the number of shares of stock per option contract, theta uses the dollar value of 1 point for the option contract. (The dollar value of 1 point in an option contract for U.S. equities is usually $100, but can be different due to stock splits.) thinkorswim takes the theta of each option in your position, multiplies it by the number of contracts and the value of 1 point for the option contract, then adds them together.

Vega

Vega (the only greek that isn't represented by a real Greek letter) is an estimate of how much the theoretical value of an option changes when volatility changes 1.00%. Higher volatility means higher option prices. The reason for this is that higher volatility means a greater price swings in the stock price, which translates into a greater likelihood for an option to make money by expiration.
Long calls and long puts both always have positive vega. Short calls and short puts both always have negative vega. Stock has zero vega – it's value is not affected by volatility. Positive vega means that the value of an option position increases when volatility increases, and decreases when volatility decreases. Negative vega means that the value of an option position decreases when volatility increases, and increases when volatility decreases.
Let's look at the XYZ Aug 50 call again. It has a value of $2.00 and a vega of +.20 with the volatility of XYZ stock at 30.00%. If the volatility of XYZ rises to 31.00%, the value of the XYZ Aug 50 call will rise to $2.20. If the volatility of XYZ falls to 29.00%, the value of the XYZ Aug 50 call will drop to $1.80.
Vega is highest for ATM options, and is progressively lower as options are ITM and OTM. This means that the value of ATM options changes the most when the volatility changes. The vega of ATM options is higher when either volatility is higher or there are more days to expiration.
Position vega measures how much the value of a position changes when volatility changes 1.00%. Position vega is calculated much in the same way as position theta. thinkorswim takes the vega of each option in your position, multiplies it by the number of contracts and the dollar value of 1 point for the option contract, then adds them together.


Rho
Rho is an estimate of how much the theoretical value of an option changes when interest rates move 1.00%. The rho for a call and put at the same strike price and the same expiration month are not equal. Rho is one of the least used greeks. When interest rates in an economy are relatively stable, the chance that the value of an option position will change dramatically because of a drop or rise in interest rates is pretty low. Nevertheless, we'll describe it here for your edification.
Long calls and short puts have positive rho. Short calls and long puts have negative rho. How does this happen? The cost to hold a stock position is built into the value of an option. It all has to do with the idea of an option being a substitute of sorts for a stock position. For example, if you think the stock of XYZ is going to rise, you could buy 100 shares of XYZ for $4800, or you could buy 2 of the XYZ Aug 50 calls for $400. (2 XYZ Aug 50 calls would give me a position delta of +90 — pretty close to the XYZ stock position delta of +100.) As you can see, you would have to spend about 12X the amount spent on the options that you would spend on the stock. That means that you would have to borrow money or take cash out of an interest-bearing account to buy the stock. That interest cost is built into the call option's value.
The more expensive it is to hold a stock position, the more expensive the call option. An increase in interest rates increases the value of calls and decreases the value of puts. A decrease in interest rates decreases the value of calls and increases the value of puts.
Back to the XYZ Aug 50 calls. They have a value of $2.00 and a rho of +.02 with XYZ at $48.00 and interest rates at 5.00%. If interest rates increase to 6.00%, the value of the XYZ Aug 50 calls would increase to $2.02. If interest rates decrease to 4.00%, the value of the XYZ Aug 50 calls would decrease to $1.98.


Source :  https://www.thinkorswim.com

Sunday, October 21, 2012

Moving Average Convergence-Divergence (MACD)

Introduction




Developed by Gerald Appel in the late seventies, the Moving Average Convergence-Divergence (MACD) indicator is one of the simplest and most effective momentum indicators available. The MACD turns two trend-following indicators, moving averages, into a momentum oscillator by subtracting the longer moving average from the shorter moving average. As a result, the MACD offers the best of both worlds: trend following and momentum. The MACD fluctuates above and below the zero line as the moving averages converge, cross and diverge. Traders can look for signal line crossovers, centerline crossovers and divergences to generate signals. Because the MACD is unbounded, it is not particularly useful for identifying overbought and oversold levels.
Note: MACD can be pronounced as either "MAC-DEE" or "M-A-C-D".
Here is an example chart with the MACD indicator in the lower panel:

MACD - Chart Example

Calculation


MACD Line: (12-day EMA - 26-day EMA) 

Signal Line: 9-day EMA of MACD Line

MACD Histogram: MACD Line - Signal Line 
 
The MACD Line is the 12-day Exponential Moving Average (EMA) less the 26-day EMA. Closing prices are used for these moving averages. A 9-day EMA of the MACD Line is plotted with the indicator to act as a signal line and identify turns. The MACD Histogram represents the difference between MACD and its 9-day EMA, the Signal line. The histogram is positive when the MACD Line is above its Signal line and negative when the MACD Line is below its Signal line.
The values of 12, 26 and 9 are the typical setting used with the MACD, however other values can be substituted depending on your trading style and goals.

Interpretation

As its name implies, the MACD is all about the convergence and divergence of the two moving averages. Convergence occurs when the moving averages move towards each other. Divergence occurs when the moving averages move away from each other. The shorter moving average (12-day) is faster and responsible for most MACD movements. The longer moving average (26-day) is slower and less reactive to price changes in the underlying security.
The MACD Line oscillates above and below the zero line, which is also known as the centerline. These crossovers signal that the 12-day EMA has crossed the 26-day EMA. The direction, of course, depends on the direction of the moving average cross. Positive MACD indicates that the 12-day EMA is above the 26-day EMA. Positive values increase as the shorter EMA diverges further from the longer EMA. This means upside momentum is increasing. Negative MACD values indicates that the 12-day EMA is below the 26-day EMA. Negative values increase as the shorter EMA diverges further below the longer EMA. This means downside momentum is increasing.

MACD - Chart 1 

In the example above, the yellow area shows the MACD Line in negative territory as the 12-day EMA trades below the 26-day EMA. The initial cross occurred at the end of September (black arrow) and the MACD moved further into negative territory as the 12-day EMA diverged further from the 26-day EMA. The orange area highlights a period of positive MACD values, which is when the 12-day EMA was above the 26-day EMA. Notice that the MACD Line remained below 1 during this period (red dotted line). This means the distance between the 12-day EMA and 26-day EMA was less than 1 point, which is not a big difference.

Signal Line Crossovers

Signal line crossovers are the most common MACD signals. The signal line is a 9-day EMA of the MACD Line. As a moving average of the indicator, it trails the MACD and makes it easier to spot MACD turns. A bullish crossover occurs when the MACD turns up and crosses above the signal line. A bearish crossover occurs when the MACD turns down and crosses below the signal line. Crossovers can last a few days or a few weeks, it all depends on the strength of the move.
Due diligence is required before relying on these common signals. Signal line crossovers at positive or negative extremes should be viewed with caution. Even though the MACD does not have upper and lower limits, chartists can estimate historical extremes with a simple visual assessment. It takes a strong move in the underlying security to push momentum to an extreme. Even though the move may continue, momentum is likely to slow and this will usually produce a signal line crossover at the extremities. Volatility in the underlying security can also increase the number of crossovers.
The chart below shows IBM with its 12-day EMA (green), 26-day EMA (red) and the 12,26,9 MACD in the indicator window. There were eight signal line crossovers in six months: four up and four down. There were some good signals and some bad signals. The yellow area highlights a period when the MACD Line surged above 2 to reach a positive extreme. There were two bearish signal line crossovers in April and May, but IBM continued trending higher. Even though upward momentum slowed after the surge, upward momentum was still stronger than downside momentum in April-May. The third bearish signal line crossover in May resulted in a good signal.
MACD - Chart 2

Centerline Crossovers

Centerline crossovers are the next most common MACD signals. A bullish centerline crossover occurs when the MACD Line moves above the zero line to turn positive. This happens when the 12-day EMA of the underlying security moves above the 26-day EMA. A bearish centerline crossover occurs when the MACD moves below the zero line to turn negative. This happens when the 12-day EMA moves below the 26-day EMA.
Centerline crossovers can last a few days or a few months. It all depends on the strength of the trend. The MACD will remain positive as long as there is a sustained uptrend. The MACD will remain negative when there is a sustained downtrend. The next chart shows Pulte Homes (PHM) with at least four centerline crosses in nine months. The resulting signals worked well because strong trends emerged with these centerline crossovers.
MACD - PHM
Below is a chart of Cummins Inc (CMI) with seven centerline crossovers in five months. In contrast to Pulte Homes, these signals would have resulted in numerous whipsaws because strong trends did not materialize after the crossovers.
MACD - CMI
The next chart shows 3M (MMM) with a bullish centerline crossover in late March 2009 and a bearish centerline crossover in early February 2010. This signal lasted 10 months. In other words, the 12-day EMA was above the 26-day EMA for 10 months. This was one strong trend.
MACD - MMM

Divergences

Divergences form when the MACD diverges from the price action of the underlying security. A bullish divergence forms when a security records a lower low and the MACD forms a higher low. The lower low in the security affirms the current downtrend, but the higher low in the MACD shows less downside momentum. Despite less downside momentum, downside momentum is still outpacing upside momentum as long as the MACD remains in negative territory. Slowing downside momentum can sometimes foreshadows a trend reversal or a sizable rally.
The next chart shows Google (GOOG) with a bullish divergence in October-November 2008. First, notice that we are using closing prices to identify the divergence. The MACD's moving averages are based on closing prices and we should consider closing prices in the security as well. Second, notice that there were clear reaction lows (troughs) as both Google and its MACD Line bounced in October and late November. Third, notice that the MACD formed a higher low as Google formed a lower low in November. The MACD turned up with a bullish divergence with a signal line crossover in early December. Google confirmed a reversal with resistance breakout.
MACD - GOOG
A bearish divergence forms when a security records a higher high and the MACD Line forms a lower high. The higher high in the security is normal for an uptrend, but the lower high in the MACD shows less upside momentum. Even though upside momentum may be less, upside momentum is still outpacing downside momentum as long as the MACD is positive. Waning upward momentum can sometimes foreshadow a trend reversal or sizable decline.
Below we see Gamestop (GME) with a large bearish divergence from August to October. The stock forged a higher high above 28, but the MACD Line fell short of its prior high and formed a lower high. The subsequent signal line crossover and support break in the MACD were bearish. On the price chart, notice how broken support turned into resistance on the throwback bounce in November (red dotted line). This throwback provided a second chance to sell or sell short.
MACD - GME
Divergences should be taken with caution. Bearish divergences are commonplace in a strong uptrend, while bullish divergences occur often in a strong downtrend. Yes, you read that right. Uptrends often start with a strong advance that produces a surge in upside momentum (MACD). Even though the uptrend continues, it continues at a slower pace that causes the MACD to decline from its highs. Upside momentum may not be as strong, but upside momentum is still outpacing downside momentum as long as the MACD Line is above zero. The opposite occurs at the beginning of a strong downtrend.
The next chart shows the S&P 500 ETF (SPY) with four bearish divergences from August to November 2009. Despite less upside momentum, the ETF continued higher because the uptrend was strong. Notice how SPY continued its series of higher highs and higher lows. Remember, upside momentum is stronger than downside momentum as long as its MACD is positive. Its MACD (momentum) may have been less positive (strong) as the advance extended, but it was still largely positive.
MACD - SPY

Conclusions

The MACD indicator is special because it brings together momentum and trend in one indicator. This unique blend of trend and momentum can be applied to daily, weekly or monthly charts. The standard setting for MACD is the difference between the 12 and 26-period EMAs. Chartists looking for more sensitivity may try a shorter short-term moving average and a longer long-term moving average. MACD(5,35,5) is more sensitive than MACD(12,26,9) and might be better suited for weekly charts. Chartists looking for less sensitivity may consider lengthening the moving averages. A less sensitive MACD will still oscillate above/below zero, but the centerline crossovers and signal line crossovers will be less frequent.
The MACD is not particularly good for identifying overbought and oversold levels. Even though it is possible to identify levels that are historically overbought or oversold, the MACD does not have any upper or lower limits to bind its movement. During sharp moves, the MACD can continue to over-extend beyond its historical extremes.
Finally, remember that the MACD Line is calculated using the actual difference between two moving averages. This means MACD values are dependent on the price of the underlying security. The MACD values for a $20 stocks may range from -1.5 to 1.5, while the MACD values for a $100 may range from -10 to +10. It is not possible to compare MACD values for a group of securities with varying prices. If you want to compare momentum readings, you should use the Percentage Price Oscillator (PPO), instead of the MACD.

Source: www.stockcharts.com