FMCG major Reckitt and Benckiser India has moved the Delhi High Court seeking restraint on the television commercial of Hindustan Unilever (HUL), which, the company alleged, has brought discredit to its cleaning product Harpic.
Advocate Chander Lall, appearing for Reckitt and Benckiser, contended before Justice B D Ahmed that it came to be known in January that Hindustan Unilever was showing an advertisement that puts Harpic in bad light by claiming that HUL's Domex kills germs better than the blue-coloured liquid.
Reckitt and Benckiser said the advertisement by HUL features a toilet bowl being cleaned with a blue colour liquid and proceeds to show how blue colour cleaners are ineffective against fighting germs compared to HUL's Domex that is white in colour.
The petitioner contended that its blue colour liquid cleaner Harpic has been around for 80 years and its colour is synonymous with its product in this category. It further claimed that Harpic is a household name and commands a marketshare of 80%.
Reckitt and Benckiser further alleged that the commercial was telecast intentionally and deliberately to disparage the entire class of blue liquid toilet cleaners and in particular Harpic. The petitioner has sought compensation of Rs 20 lakh from HUL for causing irreparable harm and injury to its reputation.
Denying all the allegations, senior advocate Rajiv Nayar, appearing for HUL, said there was no direct attack on Harpic in the advertisement as Reckitt and Benckiser was selling its product under other colour combination also apart from blue.
The court, after hearing both parties, reserved judgement.
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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