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Thursday, January 10, 2008

Wipro Infotech bags Aircel outsourcing order

In one of the largest IT outsourcing deals in the area of telecom, Wipro Infotech - the domestic, Middle East and Asia Pacific IT services business of Wipro Technologies - has bagged a multi-year outsourcing contract from telecom services provider Aircel, a Maxis group company. The contract will be executed over a period of nine years, sources in Aircel said.

As per the contract, Wipro will be responsible for delivering the next generation business transformation to Aircel through business-IT alignment, implementation of future-ready IT architecture and deployment of tools to sustain comprehensive IT operations over the life of the contract.

"We found a great partner in Wipro. Although we had been working with them earlier, it was in a much smaller scale. We are now taking this into a much intense partnership, where they will be our partner in long-term business transformation as we are set to expand our pan-India presence. The partnership will also provide us the scalability in our IT operation," Rohit Chandra, executive director, Aircel, told Business Standard.

Aircel, which started its operations in Tamil Nadu, today boasts of 9.5 million subscribers with presence in 10 circle across the country including Assam, Bihar, Himachal Pradesh, Jammu & Kashmir, Orissa and West Bengal. The company has also applied to launch its services in the remaining 13 circles, which will be executed once the spectrum is available.

Chandra said the company was handling its IT infrastructure internally, but as it was growing up in size and scale, and ready to launch some next generation of services such as MobileTV, WiMax and 3G, Wipro would be playing a major role in providing these services.

During the last two years, Wipro Infotech has won 10 total outsourcing deals including the Dena Bank and HDFC Bank deals. However this would be the company's first total outsourcing deal in the area of telecom, said Anil Jain, VP (corporate business unit), Wipro Infotech.

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Understanding Short Term Trading

Before I begin, this blog is not for intraday traders. My definition of short term implies duration of around 2 to 3 months.

Short Term stock picking is no rocket science, but rather a visual interpretation of technical charts. A basic moving average on a time frame chart will show the direction of the securities movement.

Moving averages is a mathematical results calculated by averaging a number of past data points. Moving averages (MA) in it's basic form is calculated by taking the arithmetic mean of a given set of values on a rolling window of timeframe. Once the value of MA has been calculated, they are plotted onto a chart and then connected to create a moving average line. Typical moving averages used for short term trading are 50 MA and 100 MA.

Types of Moving Averages

1) Simple Moving Average (SMA)

SMA is calculated by taking the arithmetic mean of a given set of values on a rolling window of timeframe. The usefulness of the SMA is limited because each point in the data series is weighted the same, regardless of where it occurs in the sequence. Critics argue that the most recent data is more significant than the older data and should have a greater influence on the final result.

2) Exponential Moving Average (EMA)

EMA overcomes the limits of SMA, where more weight is given to the recent prices in an attempt to make it more responsive to new information. When calculating the first point of the EMA, we may notice that there is no value available to use as the previous EMA. This small problem can be solved by starting the calculation with a simple moving average and continuing on with calculating the EMA.

The primary functions of a moving average is to identify trends and reversals, measure the strength of an asset's momentum and determine potential areas where an asset will find support or resistance. Moving averages are lagging indicator, which means they do not predict new trend, but confirm trends once they have been established.

A stock is deemed to be in an uptrend when the price is above a moving average and the average is sloping upward. Conversely, a trader will use a price below a downward sloping average to confirm a downtrend. Many traders will only consider holding a long position in an asset when the price is trading above a moving average.

In general, short-term momentum can be gauged by looking at moving averages that focus on time periods of 50 days or less. Looking at moving averages that are created with a period of 50 to 100 days is generally regarded as a good measure of medium-term momentum. Finally, any moving average that uses 100 days or more in the calculation can be used as a measure of long-term momentum.

Support, resistence and stoploss can be infered by referring the closet MA below or above the market price. The other factor that is used in short term momentum is the trading volume. The moving averages along with the trading volume can provide a better insight to short term movement.

Markets are moved by their largest participants - I believe this is the single most important principle in short-term trading. Accordingly, I track the presence of large traders by determining how much volume is in the market and how that compares to average. Because volume correlates very highly with volatility, the market's relative volume helps you determine the amount of movement likely at any given time frame--and it helps you handicap the odds of trending vs. remaining slow and range bound.