To jointly build buses for Q1 2008 launch.
Daimler AG of Germany has taken a call option to buy 26 per cent in Jalandhar-based bus body builder Sutlej Motors.
The proposal was recently cleared by the Foreign Investment Promotion Board (FIPB).
The Indian company had signed an agreement with Daimler last year to jointly make fully-built buses from Daimler’s Chakan facility based in Pune.
Under the agreement, Daimler will produce and supply bus chassis and Sutlej Motors will attach the body.
Daimler India, which is a 100 per cent subsidiary of Daimler AG, will also handle sales and after-sales services of the coaches, which are expected to be launched in India in the first quarter of 2008.
SML, which started making bus bodies in 1965, is one of the country’s biggest coach manufacturers.
Daimler is the world’s biggest bus manufacturer. Daimler India already makes chassis in the country.
A Daimler delegation from Germany headed by Wolfgang Diez, head of the Daimler buses and coaches business unit, visited India last year to assess the market.
The German company expects the demand for high-end buses to grow as a result of India’s improving road network and the increasing need for efficient public transport systems.
Other companies that are working on developing luxury inter-city buses for Indian and global markets are Tatra Vectra, Asia Motor Works (AMW), Man-Force and Scania.
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.
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