Suzlon Energy (Tianjin) Limited (SETL), the Chinese subsidiary of the Pune based wind energy equipment manufacturer Suzlon Energy Limited, has secured orders totaling nearly 200 Mw of capacity for wind farm projects in China, worth over Rs1000 crore.
The first order from Ao Lu Jia New Energy Development, a Sino-Norwegian joint venture and partially owned by Norway’s NBT AS, is to deliver 148.5 Mw of wind turbine capacity through 99 units of 1.5 Mw turbines for use in three wind farms. NBT AS plans to develop 588 Mw of capacity by the end of 2010 in Jilin, Heilongjiang, and Inner Mongolia provinces.
Deliveries for the first wind farm are scheduled for shipment during the second quarter of 2008-09, said a Suzlon press release.
Another order from Beifang Longyuan (North Union), part of China’s North Union Group which develops power projects in Inner Mongolia, is to supply 50 Mw of wind turbine capacity through 40 units of 1.25 Mw turbine capacity.
China is an extremely important market for Suzlon. With our integrated manufacturing facility in Tianjin, Suzlon is poised to be a key player in this rapidly growing market," said Paulo Fernando Soares, chief executive officer of SETL.
China the second largest wind energy market with nearly 17 per cent of the global market, behind the United States. China’s wind energy market grew at a rate of 127 per cent in 2006-07 and with a three-year-average of 97 per cent. It added 3,287 Mw in wind capacity in 2007, a major increase over 2006 installations of 1,334 Mw, taking the cumulative installed capacity for the market to 5,875 Mw, said the release.
The Chinese wind energy market is expected to install another 36,500 Mw projected between 2008 and 2012.
Suzlon is ranked as the world’s fifth leading wind turbine manufacturer with over 10.5 per cent of global market share in 2007. It has a combined manufacturing base of 2,700 mw of annual capacity, and is undertaking an expansion program to expand its base to 5,700 Mw of capacity in 2008-09.
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Friday, April 18, 2008
Suzlon gets Rs 1000 crore order
Posted by Srivatsan at 9:50 AM
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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.
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.
2 comments:
I was waiting for this type article and I have gained some useful information from this site. Thanks for sharing this information. Keep blogging.
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In today's Commodity market
gold silver are moving on a range bound movement ..may expect a heavy downfall in the prices..
will suggest you this is not the right to invest here...
commodity tips
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