Technical analysis a study on selected stocks conducted at religare securities limited, mysore

“Technical Analysis” - A Study On Selected Stocks
Executive Summary

Prices of securities in the stock market fluctuate daily on account of continuous
buying and selling. Stock prices move in trends and cycles and are never stable. An
investor in the stock market is interested in buying securities at a low price and selling
them at a high price so as to get a good return on his investment.

Technical Analysis is a method of evaluating securities by analyzing the statistics
generated by market activity, such as fast prices and volume. Technical analysis does not
give the intrinsic value of a security, but instead it includes charts and other tools to
identify patterns that can suggest future activity. The rationale behind the technical
analysis is that the share price behavior repeats itself over time and analysts attempt to
derive methods to predict this repetition. A technical analyst looks at the past share price
data to see if he can establish any patterns. He then looks at the current price data to see if
any of the established patterns are applicable and if so, extrapolations can be made to
predict the future price movements. Although past share prices are the major data used by
technical analysts, other statistics such as volume of trading and stock market indices are
also utilized to some extent.

Technical analysis studies supply and demand in a market in an attempt to
determine what direction or trend will continue in the future. In other words, technical
analysis attempts to understand the emotions in the market by studying the market itself
as opposed to its components.

H.R.Institute of Higher Education, Hassan. 1

INTRODUCTION

1.1. Technical Analysis

Technical Analysis is important to form a view on the likely trend of the overall
market, and it is helpful to have some idea of how to go about selecting individual stocks.
Naturally, all investors would like their investments to appreciate rapidly in price, but
stocks, which may satisfy this wish, tend to accompanied by a substantially greater amount
of risk then many investors are normally willing to accept. However, it is important to
understand that investors can be very conscious when it comes to stock ownership.

Technical analysis is the use of numerical series generated by market activity, such
as price and volume, to predict future price trends. The techniques applied to any market
with a comprehensive price history. Primarily, but not exclusively, technical analysis is
conducted by studying charts of past price movement. Many different methods and tools
are used in technical analysis, but they all rely on the assumption that price patterns and
trends exist in markets, and that they can be identified and exploited.

Technical analysis or charting is considered to be as a supplement to Fundamental
Analysis of securities. As an approach to investment analysis technical analysis is
radically different from fundamental analysis. While the fundamental analysts believe
that the market is 90% logical and 10% psychological, the technical analysis assumes that
its 90% psychological and 10% logical. Technical analysis can be applied to any market
with a comprehensive price history. The premises of technical analysis were derived from
empirical observations of financial markets over hundreds of years. Perhaps the oldest
branch of technical analysis is the use of candlestick techniques by Japanese traders at
least as early as the 18th century, and still very popular today.

Dow Theory its cornerstone

New tools and theories have been produced and existing tools have been enhanced
at a rapid rate in recent decades, with an increasing emphasis on computer-assisted
techniques. Technical analysis is not concerned with why a price is moving but rather
whether it is moving in a particular direction or in a particular chart pattern. Technical
analysts believe that profits can be made by "trend following." In other words if a
particular stock price is steadily rising (trending upward) then a technical analyst will look
for opportunities to buy this stock. Until the technical analyst is convinced this uptrend has
reversed or ended, all else equal, he will continue to own this security. Additionally,

technical analysts look for various price patterns to form on a price chart and will take
positions in anticipation of the expected move following that pattern. The various tools of
technical analysis assist the technician in determining when trends have formed, ended,
etc. and when particular patterns are unfolding.

One of the forecasting tools very popular among practitioners is technical
analysis. Technical analysis is the examination of past price movements in order to
forecast future price movements. Technical analysis is open to interpretation. Many times
two technicians will look at the same chart and paint two different scenarios or see
different patterns. Both would be able to come up with logical support to justify their
position.

In addition, even if stock prices completely followed a random walk, people would
be able to convince themselves that there are e patterns having a predictive value. It has
become more and more popular, as it offered an unlimited set of tools and signals and
seemed to be an interesting method of market analysis. It has been proven that stock prices
most of the time approximately follow a random walk pattern. Psychologists have
described a number of ways in which people deal with randomness. Additionally, market
participants may be subject to herd behavior.

Technical analysis is applicable to stocks, indices, commodities, futures or any
tradable instrument where the price is influenced by the forces of supply and demand.
Price refers to any combination of the open, high, low, or close for a given security over a
specific time frame. The time frame can be based on intraday (1-minute, 5-minutes, 10-
minutes, 15-minutes, 30-minutes or hourly), daily, weekly or monthly price data and last a
few hours or many years. In addition, some technical analysts include volume or open
interest figures with their study of price action.

Economists have traditionally been skeptical of the value of technical analysis,
affirming the theory of efficient markets that holds no strategy should allow investors and
traders to make unusual returns except by taking excessive risk.


1.2. Problem statement

The above study is undertaken to compare the selected technical analysis tools
available for forecasting. The study tries to capture the contradicting views of different
tools used in technical analysis. This study is aims to exploration of the topic
“TECHNICAL ANALYSIS.
Investment in the stock market and the process Portfolio management
encompassing many activities aimed at optimizing the investment of one’s funds. Five
Phases can be identified in this process:

1. Security analysis

2. Portfolio analysis

3. Portfolio selection

4. Portfolio revision

5. Portfolio evaluation

Each phase is an integral part of the whole process and the success of portfolio
management depends upon the efficiency in carrying out each of these phases.

The very first step consists of examining the risk –return characteristics of
individual securities. Security analysis is such a crucial activity because every investor
has to decide on the type, number and time timing of buying and selling of the shares.

Today, the thousands of securities available for an investor, he has to decide on ;

• Which stock to invest?

• What type of security to buy?

• When to sell the securities?

• Where to Invest?

• How to Invest?


• Whether hold, sell or buy securities?

All these questions need to be answered before the investment can take place and also
determining prospective benefits from the investment in a security. The risk associated
with that investment.


1.3. Objectives of the study
This study is aimed at undertaking technical analysis of selected companies
included in the CNX Nifty. I will also demonstrate how technical analysis can be of
invaluable use for the investors in marketing their investment decisions.

The following are the main objectives of this study.
 To analyze tools of technical analysis can be used in forecasting stock prices.
 To know the movements (upward or downward) of stock prices of selected company
stocks through Technical analysis.
 To know how best we can utilize these analyses to meet the financial goals.

1.4. Scope of the study

This study mainly focuses on investment decisions by predicting futures stock
price movements through the use of Technical analysis. This study is based on five
companies selected from those listed in National Stock Exchange and Bombay Stock
Exchange, belonging to Automobiles.

Following are the main scope of this study
 To help the investor in making decisions based on report
 Analysis of the shares of companies.
 Studying the stock price movement of the security market.
 Helps to identify trend reversals at an earlier stage to formulate the buying and
selling strategy.

The stocks so selected are as follows.

• Bajaj Auto limited
• Hero Honda Motors limited
• Maruti Udyog limited
• TVS Motors Company limited
• Tata Motors limited


Techniques of data analysis:
Technical tools used for the study are:

Chart patterns
 Line charts
 Japanese candlestick chart

Indicators of the study

Exponential Moving average (EMA) Rate of change Indicator (ROC)

Moving average, convergence and
Relative strength index (RSI)
divergence.(MACD)

On-Balance Volume Aroon Up and Down Oscillators

Money flow Index (MFI) TRIX

Bollinger band width William’s percent rate (W%R)

1.5. Research Design
Research design is a plan of action to be carried out in connection with a research
project. The research design use in this study is explanatory and descriptive research. It
involves the collection of data from both the primary and secondary sources. The data so
collected was subjected to analysis by using the necessary tools that are relevant and
idealistic.


1.6. Research Methodology
For the study, 5 companies were selected from CNX Nifty. There are following
steps in methodology:
• Use of technical tools i.e. Simple moving Average, Exponential Moving Average,
Relative Strength Index and Moving Average Convergence and Divergence.
• Identification of patterns and trends in the stock price movements.
• Preparation of stock chart, Line chart, Bar chart and candle stick chart showing
the price and volume of the stocks over the period of time and Interpret charts.

Source of Data

Primary data were collected through direct interactions with the clients of
Religare. Other data used in this study are publicly available data collected from
secondary source. The major source of the data is the website of NSE India. Text books
and Business journals and periodicals and news papers are also to collect some data and
information.

1.7. Limitations of the study

 The analysis is focused on five companies.

 The study is only for academic purpose

 Study restricted to a smaller sample size because of lack of time and resources.

 The recommendations made may not be a perfect prediction of the future as
technical analysis is not an absolutely accurate practice.-



LITERATURE REVIEW

2.1. Overview of Technical analysis

A method of evaluating securities by analyzing statistics generated by market
activity, such as past prices and volume, Technical analysts do not attempt to measure a
security’s intrinsic value, but instead use charts to identify patterns that can suggest future
activity. Technical analysts believe that the historical performance of stocks and markets
are indications of future performance.

Technical Analysis has become increasingly popular over the past several years,
as more and more people believe that the historical performance of a stock is a strong
indication of future performance. People using fundamental analysis have always looked
at the past performance of companies by comparing fiscal data from previous quarters
and years to determine future growth. The difference lies in the technical analyst’s belief
that securities move according to very predictable trends and patterns. These trends
continue until something happens to change the trend, and until this change occurs, Price
levels are predictable.

Investors successfully trade securities using only their knowledge of the security’s
chart, without even understanding what the company does. Although technical analysis is
a terrific tool, most agree it is much more effective when used in combination with
fundamental analysis.

2.1.1 DOW THEORY

The ideas of Charles Dow, the first editor of the Wall Street Journal, form the
basis of technical analysis today. Charles Dow created the Industrial Average, of top blue
chip stocks, and a second average of top railroad stocks (now the Transport Average). He
believed that the behavior of the averages reflected the hopes and fears of the entire
market. The behavior patterns that he observed apply to markets throughout the world.


Markets fluctuate in more than one time frame at the same time

 The first is the daily variation due to local causes and the balance of buying and
selling at that particular time (Ripple).

 The secondary movement covers a period ranging from days to weeks, averaging
probably between six to eight weeks (Wave).

 The third move is the great swing covering anything from months to years,
averaging between 6 to 48 months. (Tide).

 Bull markets are broad upward movements of the market that may last several
years, interrupted by secondary reactions. Bear markets are long declines
interrupted by secondary rallies. These movements are referred to as the primary
trend.

Primary Phases of Movements

Secondary movements normally retrace from one-third to two thirds of the primary
trend since the previous secondary movement.

Daily fluctuations are important for short-term trading, but are unimportant in analysis
of broad market movements.


Primary Movements have Three Phases

Bull markets
Bull markets commence with reviving confidence as business conditions improve.
Prices rise as the market responds to improved earnings Rampant speculation dominates
the market and price advances are based on hopes and expectations rather than actual
result.

Bear markets
Bear markets start with abandonment of the hopes and expectations that sustained
inflated prices.
Prices decline in response to disappointing earnings.

Distress selling follows as speculators attempt to close out their positions and
securities are sold without regard to their true value.

Ranging Markets
A secondary reaction may take the form of a ‘line’, which may endure for several weeks.

Price fluctuates within a narrow range of about five percent.

Breakouts from a range can occur in either direction.
Advances above the upper limit of the line signal accumulation and higher prices;
Declines below the lower limit indicate distribution and lower prices;
Volume is used to confirm price breakouts.

Bull Trends
A bull trend is identified by a series of rallies where each rally exceeds the highest
point of the previous rally. The decline, between rallies, ends above the lowest point of
the previous decline.


Successive higher highs and higher lows

The start of an up trend is signaled when price makes a higher low (trough), followed
by a rally above the previous high (peak):

Start = higher Low + break above previous High.

The end is signaled by a lower high (peak), followed by a decline below the previous low
(trough):

End = lower High + break below previous Low.


Bear Trends

A bear trend starts at the end of a bull trend: when a rally ends with a lower peak
and then retreats below the previous low. The end of a bear trend is identical to the start
of a bull trend. Each successive rally fails to penetrate the high point of the previous
rally. Each decline terminates at a lower point than the preceding decline.

Successive lower highs and lower lows

Large Corrections

A large correction occurs when price falls below the previous low (during a bull
trend) or where price rises above the previous high (in a bear trend).

A bull trend starts when price rallies above the previous high,

A bull trend ends when price declines below the previous low,

A bear trend starts at the end of a bull trend (and vice versa).


2.2 How technical analysis is done
Technical analysis done by identifying the trend from past movements and then
using it as a tool to predict future price movements of the stock with the use of the tools
of technical analysis

2.3 Assumptions of technical analysis

1. The Market Discounts Everything

A major criticism of technical analysis is that it only considers price movement,
ignoring the fundamental factors of the company. However, technical analysis assumes
that, at any given time, a stock's price reflects everything that has or could affect the
company - including fundamental factors. Technical analysts believe that the company's
fundamentals, along with broader economic factors and market psychology, are all priced
into the stock, removing the need to actually consider these factors separately. This only
leaves the analysis of price movement, which technical theory views as a product of the
supply and demand for a particular stock in the market.

2. Price Moves in Trends

In technical analysis, price movements are believed to follow trends. This
means that after a trend has been established, the future price movement is more likely
to be in the same direction as the trend than to be against it. Most technical trading
strategies are based on this assumption.

3. History Tends To Repeat Itself

Another important idea in technical analysis is that history tends to repeat itself,
mainly in terms of price movement. The repetitive nature of price movements is attributed
to market psychology; in other words, market participants tend to provide a consistent
reaction to similar market stimuli over time. Technical analysis uses chart patterns to
analyze market movements and understand trends. Although many of these charts have
been used for more than 100 years, they are still believed to be relevant because they
illustrate patterns in price movements that often repeat themselves



2.4 Chart Pattern

2.4.1 Candlestick charting

Candlestick charts have been around for hundreds of years. They are often
referred to as “Japanese candles” because the Japanese would use them to analyze the
price of rice contracts.

Similar to a bar chart, candlestick charts also display the open, close, daily high and
daily low. The difference is the use of color to show if the stock went up or down over
the day.

The chart below is an example of a candlestick chart for AT&T (T). Green bars indicate
the stock price rose, red indicates a decline:

Figure 2.4.1 Candlestick charting


Investors seem to have a "love/hate" relationship with candlestick charts. People
either love them and use them frequently or they are completely turned off by them.
There are several patterns to look for with candlestick charts - here are a few of the
popular ones and what they mean.

.

This is a bullish pattern - the stock opened at (or near) its low and closed near its high

The opposite of the pattern above, this is a bearish pattern. It indicates that the
stock opened at (or near) its high and dropped substantially to close near its low.

Known as "the hammer", this is a bullish pattern only if it occurs after the stock
price has dropped for several days. A small body along with a large range identifies a
hammer. This pattern indicates that a reversal in the downtrend is in the works.

Known as a "star”. For the most part, stars typically indicate a reversal and or
indecision. There is a possibility that after seeing a star there will be a
reversal or change in the current trend.

2.4.2 Line Chart
The most basic of the four charts is the line chart because it represents only the
closing prices over a set period of time. The line is formed by connecting the closing
prices over the time frame. Line charts do not provide visual information of the trading
range for the individual points such as the high, low and opening prices. However, the
closing price is often considered to be the most important price in stock data compared to
the high and low for the day and this is why it is the only value used in line charts.



Figure 2.4.2 Line Chart

2.4.3 Support and resistance

Support and resistance are price levels at which movement should stop and
reverse direction. Think of support/resistance (S/R) as levels that act as a floor or a ceiling
to future price movements.

Support - A price level below the current market price, at which buying interest should
be able to overcome selling pressure and thus keep the price from going any lower.

Resistance - A price level above the current market price, at which selling pressure
should be strong enough to overcome buying pressure and thus keep the price from going
any higher. One of two things can happen when a stock price approaches a
support/resistance level. On the one hand, it can act as a reversal point: in other words,
when a stock price drops to a support level, it will go back up. On the other hand, S/R
levels may reverse roles once they are penetrated.

For example - When the market price falls below a support level, that former support
level will then become a resistance level when the market later trades back up to that
level.



Figure 2.4.3 Support and resistance

This chart shows an excellent example of support and resistance levels for General
Electric (GE). Notice that once the stock price penetrated below the support level in
December, it became the resistance level. You also need to understand that S/R levels
vary in strength, leading to certain price levels being designated as major or minor S/R
levels. For example -- A five-year high on a bar chart would be a much more significant
and useful resistance level than a one-month resistance level.

2.4.4 Cup and Handle

This is a pattern on a bar chart that can be as short as seven weeks and as long as
65 weeks. The cup is in the shape of a "U". The handle has a slight downward drift. The
right-hand side of the pattern has low trading volume. As the stock comes up to test the
old highs, the stock will incur selling pressure by the people who bought at or near the old
high. This selling pressure will make the stock price trade sideways with a tendency
towards a downtrend for anywhere from four days to four weeks, then it will take off.

This pattern looks like a pot with a handle. It is one of the easier patterns to detect;
and investors have made a lot of money using it.



Figure2.4.4 Cup and Handle

2.4.5 Head and Shoulders
This is a chart formation resembling an "M" in which a stock's price:

- Rises to a peak and then declines, then

-Rises above the former peak and again declines, and then

-Rises again but not to the second peak and again declines.

The first and third peaks are shoulders, and the second peak forms the head. This pattern is
considered a very bearish indicator.

Figure 2.4.5 Head and Shoulders


2.4.6 Double Bottom

This pattern resembles a "W" and occurs when a stock price drops to a similar
price level twice within a few weeks or months. You should buy when the price passes
the highest point in the handle. In a perfect double bottom, the second decline should
normally go slightly lower than the first decline to create a shakeout of jittery investors.
The middle point of the "W" should not go into new high ground. This is a very bullish
indicator.

Figure 2.4.6 Double Bottoms

The belief is that, after two drops in the stock price, the jittery investors will be out and
the long-term investors will still be holding on.

2.4.7 Double Tops

Double tops point out a weakness of the uptrend and warn for a change of trend
generally a selling crazy starts when this formation is indicates.

Figure 2.4.7 Double Tops

2.4.8 Falling wedges


Falling wedges are opposite of the rising wedges and pull back reactions during the up
trends. Sellers continue to believe the securities in their hand do not want to sell so, volume
decreases significantly. When the upper line is broken, generally a rally starts. So this formation
is a chance to buy security available prices in an uptrend.

Figure 2.4.8 Falling wedges

2.4.9 Symmetrical Triangles
All triangles formations are consolidation formations. In symmetrical triangle
direction of the trend is not known. It is only can be identified after one of the line
broken. Prices go up if upper line broken. And go down if lower line broken. Volume is
very important for triangle formations. Volume should decrease during the formations.

Figure 2.4.9 Symmetrical Triangles


2.4.10 Descending triangles
It is a signal for down trend. Price target can be found approximately by drawing a
parallel line to descending line.

Figure.2.4.10 descending triangles

2.4.11 Ascending Triangles
It is a signal for uptrend. By drawing a parallel line to descending line, price target can be
calculated approximately.

Figure 2.4.11 Ascending triangle

2.5 INDICATORS OF THE STUDY

2.5.1 Exponential Moving Average (EMA)
Are calculated by applying a percentage of today’s closing price to yesterday’s
moving average value. Use an exponential moving average to place more weight on
recent prices.
This moving average calculation uses a smoothing factor to place a higher weight
on recent data points and is regarded as much more efficient than the linear weighted
average. Having an understanding of the calculation is not generally required for most
traders because most charting packages do the calculation for you.
The most important thing to remember about the exponential moving average is
that it is more responsive to new information relative to the simple moving average.


This responsiveness is one of the key factors of why this is the moving average of choice
among many technical traders. As you can see in Figure 2, a 15-period EMA raises and
falls faster than a 15-period SMA. This slight difference doesn’t seem like much, but it is
an important factor to be aware of since it can affect returns.

Figure 2.5.1 Exponential Moving Averages (EMA)

2.5.2 Moving Average Convergence Divergence (MACD)

Common, the “MACD” is a trend following, momentum indicator that shows the
relationship between two moving averages of prices. To Calculate the MACD subtract
the 26-day EMA from a 12-day EMA. A 9-day dotted EMA of the MACD called the
signal line is then plotted on top of the MACD. There are 3 common methods to interpret
the MACD:

Crossover – When the MACD falls below the signal line it is a signal to sell. Vice versa
when the MACD rises above the signal line.

Divergence – When the security diverges from the MACD it signals the end of the
current trend.

Overbought/Oversold – When the MACD rises dramatically (shorter moving average
pulling away from longer term moving average) it is a signal the security is overbought
and will soon return to normal levels.


Other less common moving averages include triangular, variable, and weighted
moving average. All of them being slight deviations from the++ ones above and are used
to detect different characteristics such as volatility, and weighting different time spans.

One of the easiest indicators to understand, the moving average, shows the
average value of a security’s price over a period of time. To find the 50-day moving
average, you would add up the closing prices (but not always – explain later) from the
past 50 days and divide them by 50. Because prices are constantly changing, the moving
average will move as well. It should also be noted that moving averages are most as well.
It should also be noted that moving averages are most often used then compared or used
in conjunction with other indicators such as moving average convergence divergence
(MACD) and exponential moving (E M A).

The most commonly used moving averages are 20, 30, 50,100 and 200 days. Each
moving average provides a different interpretation on what the stock will do-there is not
one right time frame. The longer the time spans, the less sensitive the moving average
will be to daily price changes. Moving averages are used to emphasize the direction of a
trend and smooth out price and volume fluctuations that can confuse interpretation.

Here is a visual example using stock price

Figure 2.5.2 Moving Average Convergence Divergences (MACD)

Notice that back, in September the stock price dropped well below its 50-day
average (the green line) there has been a steady downward trend since then and no really
strong divergence until the end of December when it rose above its 50-days average and
continued to rise for several weeks.


Typically, when a stock price moves below its moving average it is a bad sign
because the stock is moving on a negative trend. The opposite is true for stock that exceed
their moving average-in this case, hold on for the ride.

2.5.3 BOLLINGER BANDS WIDTH
Developed by John Bollinger, Bollinger Bands are an indicator that allows users
to compare volatility and relative price levels over a period time. The indicator consists of
three bands designed to encompass the majority of a security's price action. The purpose
of Bollinger Bands is to provide a relative definition of high and low. By definition prices
are high at the upper band and low at the lower band. This definition can aid in rigorous
pattern recognition and is useful in comparing price action to the action of indicators to
arrive at systematic trading decisions.
Bollinger Bands consist of a set of three curves drawn in relation to securities
prices. The middle band is a measure of the intermediate-term trend, usually a simple
moving average that serves as the base for the upper and lower bands. The interval
between the upper and lower bands and the middle band is determined by volatility,
typically the standard deviation of the same data that were used for the average. The
default parameters, 20 periods and two standard deviations, may be adjusted to suit your
purposes:

Middle Bollinger Band = 20-period simple moving average

Upper Bollinger Band = Middle Bollinger Band + 2 * 20-period standard deviation

Lower Bollinger Band = Middle Bollinger Band - 2 * 20-period standard deviation

Standard deviation is a statistical unit of measure that provides a good assessment
of a price plot's volatility. Using the standard deviation ensures that the bands will react
quickly to price movements and reflect periods of high and low volatility. Sharp price
increases (or decreases), and hence volatility, will lead to a widening of the bands.



Figure 2.5.3 Bollinger Bands Width

The center band is the 20-day simple moving average. The upper band is the 20-
day simple moving average plus 2 standard deviations. The lower band is the 20-day
simple moving average less 2 standard deviations.

2.5.4 On-Balance Volume

The on-balance volume (OBV) indicator is well-known technical indicators that
reflect movements in volume. It is also one of the simplest volume indicators to compute
and understand. Joe Granville introduced the On Balance Volume (OBV) indicator in his
1963 book, Granville's New Key to Stock Market Profits. This was one of the first and
most popular indicators to measure positive and negative volume flow. The concept
behind the indicator: volume precedes price. OBV is a simple indicator that adds a
period's volume when the close is up and subtracts the period's volume when the close is
down. A cumulative total of the volume additions and subtractions forms the OBV line.
This line can then be compared with the price chart of the underlying security to look for
divergences or confirmation.


Calculation

As stated above, OBV is calculated by adding the day's volume to a running cumulative
total when the security's price closes up, and subtracts the volume when it closes down.

For example, if today the closing price is greater than yesterday's closing price, then the
new

OBV = Yesterday's OBV + Today's Volume

If today the closing price is less than yesterday's closing price, then the new

OBV = Yesterday's OBV - Today's Volume

If today the closing price is equal to yesterday's closing price, then the new

OBV = Yesterday's OBV

Use

The idea behind the OBV indicator is that changes in the OBV will precede price
changes. A rising volume can indicate the presence of smart money flowing into a
security. Then once the public follows suit, the security's price will likewise rise.

Like other indicators, the OBV indicator will take a direction. A rising (bullish)
OBV line indicates that the volume is heavier on up days. If the price is likewise rising,
then the OBV can serve as a confirmation of the price uptrend. In such a case, the rising
price is the result of an increased demand for the security, which is a requirement of a
healthy uptrend.

However, if prices are moving higher while the volume line is dropping, a
negative divergence is present. This divergence suggests that the uptrend is not healthy
and should be taken as a warning signal that the trend will not persist.

The numerical value of OBV is not important, but rather the direction of the line.
A user should concentrate on the OBV trend and its relationship with the security's price.



Figure 2.5.4 On-Balance Volumes

This chart shows how the OBV line can be used as confirmation of a price trend.
The peak in September was followed by lower price movements that corresponded
with volume spikes, thus implying that the downtrend was going to continue.

2.5.5 Aroon Oscillators
The Aroon indicator is a relatively new technical indicator that was created in
1995. The Aroon is a trending indicator used to measure whether a security is in an
uptrend or downtrend and the magnitude of that trend. The indicator is also used to
predict when a new trend is beginning.

The indicator is comprised of two lines, an "Aroon up" line (blue line) and an
"Aroon down" line (red dotted line). The Aroon up line measures the amount of time it
has been since the highest price during the time period. The Aroon down line, on the
other hand, measures the amount of time since the lowest price during the time period.
The number of periods that are used in the calculation is dependent on the time frame that
the user wants to analyze.



Figure 2.5.5 Aroon Up And Down Oscillator

An expansion of the Aroon is the Aroon oscillator, which simply plots the
difference between the Aroon up and down lines by subtracting the two lines. This line is
then plotted between a range of -100 and 100. The centerline at zero in the oscillator is
considered to be a major signal line determining the trend. The higher the value of the
oscillator from the centerline point, the more upward strength there is in the security; the
lower the oscillator's value is from the centerline, the more downward pressure. A trend
reversal is signaled when the oscillator crosses through the centerline. For example, when
the oscillator goes from positive to negative, a downward trend is confirmed. Divergence
is also used in the oscillator to predict trend reversals. A reversal warning is formed when
the oscillator and the price trend are moving in an opposite direction.

The Aroon lines and Aroon oscillators are fairly simple concepts to understand but
yield powerful information about trends. This is another great indicator to add to any
technical trader's arsenal.

2.5.6 Money Flow Index

The Money Flow Index (MFI) is a momentum indicator that is similar to the
Relative Strength Index (RSI) in both interpretation and calculation. However, MFI is a
more rigid indicator in that it is volume-weighted, and is therefore a good measure of the
strength of money flowing in and out of a security. It compares "positive money flow" to
"negative money flow" to create an indicator that can be compared to price in order to
identify the strength or weakness of a trend. Like the RSI, the MFI is measured on a 0 -
100 scale and is often calculated using a 14 day period.

The "flow" of money is the product of price and volume and shows the demand
for a security and a certain price. The money flow is not the same as the Money Flow
Index but rather is a component of calculating it. So when calculating the money flow, we
first need to find the average price for a period. Since we are often looking at a 14-day

period, we will calculate the typical price for a day and use that to create a 14-day
average.

Typical Price = (Day high + Day low + Day close) / 3

Money Flow = (Typical Price) X Volume

The MFI compares the ratio of "positive" money flow and "negative" money
flow. If typical price today is greater than yesterday, it is considered positive money. For
a 14-day average, the sum of all positive money for those 14 days is the positive money
flow. The MFI is based on the ratio of positive/negative money flow (Money Ratio).

Money Ratio = positive money flow / Negative money flow

Finally, the MFI can be calculated using this ratio:

Money Flow Index- 100-(100 / (1 + money ratio))

The fewer number of days used to calculate the MFI, the more volatile it will be.

The MFI can be interpreted much like the RSI in that it can signal divergences
and overbought/oversold conditions.

Positive and negative divergences between the stock and the MFI can be used as
buy and sell signals respectively, for they often indicate the imminent reversal of a trend.
If the stock price is falling, but positive money flow tends to be greater than negative
money flow, then there is more volume associated with daily price rises than with the
price drops. This suggests a weak downtrend that threatens to reverse as money flowing
into the security is "stronger" than money flowing out of it.

As with the RSI, the MFI can be used to determine if there is too much or too
little volume associated with a security. A stock is considered "overbought" if the MFI
indicator reaches 80 and above (a bearish reading). On the other end of the spectrum, a
bullish reading of 20 and below suggests a stock is "oversold".



Figure 2.5.6 Money Flow Index

2.5.7 Rate of change indicators (ROC)

It is a very popular oscillator which measures the rate of change of the current
price as compared to the price a certain number of days or weeks back. The ROC has to
be used along with price chart. The buying and selling signals indicated by the ROC
should also be confirmed by the price chart.



Figure 2.5.7 Rate of change

2.5.8 Relative strength index (RSI)

There are a few different tools that can be used to interpret the strength of a stock.
One of these is the Relative Strength Index (RSI), which is a comparison between the
days that a stock finishes up and the days it finishes down. This indicator is a big tool
in momentum trading.

The RSI is a reasonably simple model that anyone can use. It is calculated using the
following formula.

RSI = 100 - [100/(1 + RS)]

RS = (Avg. of n-day up closes)/(Avg. of n-day down closes)

n = days (most analysts use 9 - 15 day RSI)

The RSI ranges from 0 to 100. At around the 70 levels, a stock is considered
overbought and you should consider selling. In a bull market some believe that 80 is a
better level to indicate an overbought stock since stocks often trade at higher valuations
during bull markets. Likewise, if the RSI approaches 30, a stock is considered oversold
and you should consider buying. Again, make the adjustment to 20 in a bear market.

The smaller the number of days used, the more volatile the RSI is and the more
often it will hit extremes. A longer term RSI is more rolling, fluctuating a lot less.
Different sectors and industries have varying threshold levels when it comes to the RSI.


Stocks in some industries will go as high as 75-80 before dropping back, while others
have a tough time breaking past 70. A good rule is to watch the RSI over the long term
(one year or more) to determine at what level the historical RSI has traded and how the
stock reacted when it reached those levels.

The RSI is a great indicator that can help you make some serious money. Be
aware that big surges and drops in stocks will dramatically affect the RSI, resulting in
false buy or sell signals. Most investors agree that the RSI is most effective in "backing
up" or increasing confidence before making an investment decision - don't invest simply
based on the RSI numbers.

Figure 2.5.8Relative Strength Index (RSI)

Above, we have an RSI chart for AT&T. The RSI is the green line, and its scale is
the numbers on the right hand side that go from 0 to 100. Notice the RSI was approaching
the 60-70 level in December and January, and then the stock (blue line) sold off. Also,
notice that when the RSI dropped to 25 around October the stock climbed up nearly 30%
in just a couple of weeks.

Using the moving averages, trend lines divergence, support and resistance lines along
with the RSI chart can be very useful. Rising bottoms on the RSI chart can produce the
same positive trend results as they would on the stock chart. Should the general trend of
the stock price tangent from the RSI, it might spark a warning that the stock is either
over- or under bought.


2.5.9 Momentum
The momentum is certainly the easiest one to compute. The momentum is the difference
between today's price and the one of n days before.
With: Pt today's price. Pt-n the price at the date t-n
The momentum is: MOt = Pt - Pt-n
2.5.10 TRIX (Triple exponential)

"Trix (or TRIX) is a technical analysis oscillator developed in the 1980s by Jack Huston,
editor of Technical Analysis of Stocks and Commodities magazine. It shows the slope
(i.e. derivative) of a triple-smoothed exponential moving average. The name Trix is from
"triple exponential

Trix is calculated with a given N-day period as follows:

• Smooth prices (often closing prices) using an N-day exponential moving average

• Smooth a third time, using a further N-day EMA

• Calculate the percentage difference between today's and yesterday's value in that
final smoothed series

Like any moving average, the triple EMA is just a smoothing of price data and
therefore is trend-following. A rising or falling line is an uptrend or downtrend and Trix
shows the slope of that line, so it's positive for a steady uptrend, negative for a downtrend,
and a crossing through zero is a trend-change, i.e. a peak or trough in the underlying
average.

The triple-smoothed EMA is very different from a plain EMA. In a plain EMA the
latest few days dominate and the EMA follows recent prices quite closely; however,
applying it three times results in weightings spread much more broadly, and the weights
for the latest few days are in fact smaller than those of day’s further past. The following
graph shows the weightings for an N=10 triple EMA (most recent days at the left).

Graph shows the weightings for an N=10 triple EMA (most recent days at the left).



Figure 2.5.10 TRIX (Triple exponential)

Triple exponential moving average weightings, N=10 (percentage versus days ago)

Note that the distribution's mode will lie with pN-2's weight, i.e. in the graph above p8
carries the highest weighting. An N of 1 is invalid.

The easiest way to calculate the triple EMA based on successive values is just to
apply the EMA three times, creating single-, then double-, then triple-smoothed series.
The triple EMA can also be expressed directly in terms of the prices as below, with p0
today's close, p1 yesterday's, etc, and with (as for a plain EMA).

The coefficients are the triangle numbers, n (n+1)/2. In theory, the sum is infinite,
using all past data, but as f is less than 1 the powers fn become smaller as the series
progresses, and they decrease faster than the coefficients increase, so beyond a certain
point the terms are negligible.


2.5.11 Williams %R

Developed by Larry Williams, Williams % R is a momentum indicator that works
much like the Stochastic Oscillator. It is especially popular for measuring overbought and
oversold levels. The scale ranges from 0 to -100 with readings from 0 to -20 considered
overbought, and readings from -80 to -100 considered oversold.

William %R, sometimes referred to as %R, shows the relationship of the close
relative to the high-low range over a set period of time. The nearer the close is to the top
of the range, the nearer to zero (higher) the indicator will be. The nearer the close is to the
bottom of the range, the nearer to -100 (lower) the indicator will be. If the close equals
the high of the high-low range, then the indicator will show 0 (the highest reading). If the
close equals the low of the high-low range, then the result will be -100 (the lowest
reading).

Calculation

%R = [(highest high over? periods - close) / (highest high over? periods - lowest low
over? periods)] * -100

Typically, Williams % R is calculated using 14 periods and can be used on
intraday, daily, weekly or monthly data. The time frame and number of periods will likely
vary according to desired sensitivity and the characteristics of the individual security.

Use

It is important to remember that overbought does not necessarily imply time to
sell and oversold does not necessarily imply time to buy. A security can be in a
downtrend, become oversold and remain oversold as the price continues to trend lower.
Once a security becomes overbought or oversold, traders should wait for a signal that a
price reversal has occurred. One method might be to wait for Williams %R to cross above
or below -50 for confirmation.

Price reversal confirmation can also be accomplished by using other indicators or aspects
of technical analysis in conjunction with Williams %R.

One method of using Williams %R might be to identify the underlying trend and
then look for trading opportunities in the direction of the trend. In an uptrend, traders may


look to oversold readings to establish long positions. In a downtrend, traders may look to
overbought readings to establish short positions.

Figure 2.5.11 Williams % R

The chart of Weyerhaeuser with a 14-day and 28-day Williams % R illustrates some key
points:

• 14-day %R appears quite choppy and prone to false signals.
• 28-day %R smoothed the data series and the signals became less frequent and
more reliable.
• When the 28-day %R moved to overbought or oversold levels, it typically
remained there for an extended period and the stock continued its trend.
• Some good entry signals were given with the 28-day %R by waiting for a move
above or below -50 for confirmation.

2.6 Evaluation of technical analysis:

Technical analysis appears to be a highly controversial approach to security
analysis. It has its ardent votaries: it has its severe critics. The advocates of technical
analysis offer the following interrelated arguments in support of their position:


1. Under the influence of crowed psychology, trend persists for quite some time.
Tools of technical analysis that help in identifying these trends early are helpful
aids in investment decision making.
2. Shift in demand and supply are gradual rather than instantaneous. Technical
analysis helps in detecting these shifts rather early and hence provides clues to
future price movement.
3. Fundamental information about a company is absorbed and assimilated by the
market over a period. Hence, the price movement tends to continue in more or less
the same direction until the information is assimilated in the stock price.
4. Charts provide what has happened in the past and hence give a sense of volatility
that can be expected from the stock. Future, the information on trading volume
which is ordinarily provide at the bottom of a bar chart gives a fair idea of the
extent of the public interest in the stock

The detractors of technical analysis believe that the technical analysis is a useless
exercise. Their arguments run as follows:

• Most technical analyst are not able to offer convincing explanation for the tools
employed by them
• Empirical evidence in support of the random-walk hypothesis casts its shadow
over the usefulness of technical analysis.
• By the time an uptrend or down may have been signaled by technical analysis, it
already have taken place.
• Ultimately, technical analysis must be a self-defeating proposition as more and
more people employ the value of such analysis tends to decline.



3.1 About Religare Enterprise Limited

Religare Enterprises Limited (REL) is a global
financial services group with a presence across Asia, Africa, Middle East, Europe and the
Americas. In India, REL’s largest market, the group offers a wide array of products and
services ranging from insurance, asset management, broking and lending solutions to
investment banking and wealth management. The group has also pioneered the concept of
investments in alternative asset classes such as arts and films. With 10,000 plus
employees across multiple geographies, REL serves over a million clients, including
corporates and institutions, high net worth families and individuals, and retail investors.

BSE Book
Industry : Finance - General 532915 25/09/2009
Code : Closure :

NSE Market Rs. 5,340.49
Group : Religare RELIGARE
Code : Cap : Cr.

Market Face
ISIN No : INE621H01010 1 Rs. 10.00
Lot : Value :

Religare Enterprises Limited (REL) is a diversified financial services group of
India. REL's businesses are broadly clubbed across three key verticals, the Retail,
Institutional and Wealth spectrums, catering to a diverse and wide base of clients.

The vision is to build Religare as a globally trusted brand in the financial services
domain and present it as the 'Investment Gateway of India'. All employees of the group
guided by an experienced and professional management team are committed to providing
financial care, backed by the core values of diligence and transparency.

REL offers a multitude of investment options and a diverse bouquet of financial
services with its pan India reach in 1837* locations across 498* cities and towns. REL
also currently operates from nine international locations following its acquisition of
London's brokerage & investment firm, Hichens, Harrison & Co. plc.


With a view to expand, diversify and introduce offerings benchmarked against
global best practices, Religare operates its Life Insurance business in partnership with the
global major - Aegon. For its wealth management business Religare has partnered with
Australia based financial services major-Macquarie. Religare has also partnered with
Vistaar Entertainment to launch India's first SEBI approved Film Fund offering a unique
alternative asset class of investments.
3.2 Name

Religare is a Latin word that translates as 'to bind together'. This name has been chosen to
reflect the integrated nature of the financial services the company offers.

3.3 Symbol

The Religare name is paired with the symbol of a four-leaf clover. Traditionally, it
is considered good fortune to find a four-leaf clover as there is only one four-leaf clover
for every 10,000 three-leaf clovers found.

For us, each leaf of the clover has a special meaning. It is a symbol of Hope. Trust, Care.
Good Fortune.



For the world, it is the symbol of Religare.

The first leaf of the clover represents Hope. The aspirations to succeed. The
dream of becoming. Of new possibilities. It is the beginning of every step
and the foundation on which a person reaches for the stars.

The second leaf of the clover represents Trust. The ability to place one’s
own faith in another. To have a relationship as partners in a team. To
accomplish a given goal with the balance that brings satisfaction to all, not
in the binding, but in the bond that is built.

The third leaf of the clover represents Care. The secret ingredient that is the
cement in every relationship. The truth of feeling that underlines sincerity
and the triumph of diligence in every aspect. From it springs true warmth of
service and the ability to adapt to evolving environments with consideration
to all.

The fourth and final leaf of the clover represents Good Fortune. Signifying
that rare ability to meld opportunity and planning with circumstance to
generate those often looked for remunerative moments of success.

Hope. Trust. Care. Good Fortune. All elements perfectly combine in the
emblematic and rare, four-leaf clover to visually symbolize the values that
bind together and form the core of the Religare vision.

Accent usage

The diacritical tilde mark (˜) over the letter A in the Religare typeface indicates a palatal
emphasis sound of the letter A.



3.4 PRODUCT PROFILE

3.4.1 Retail Spectrum

• Life Insurance
• Asset Management
• Equity Trading
• Commodities Trading
• Online Investment Portal
• Health Insurance
• Insurance Solutions
• Loans

3.4.2 Wealth Spectrum

• Wealth Management
• Private Equity Fund
• Arts Initiative
• Film Fund

3.4.3 Institutional Spectrum

• Institutional Broking Services
• Investment Banking
• Insurance Advisory



4.1. BAJAJ AUTO LIMITED
4.1.1 Bollinger band width:-
It indicates Bajaj auto ltd. For the period 1 May 2009 to 30 April 2010

Graph: 4.1.1

As shown in the above Bollinger band which indicates the buying and selling
signals which is got by using 20 day simple moving average and 2 period standard
deviation lead the Bollinger band width to 121.7.

Here the price touches the upper band in the month of October 2009 and April
2010 indicating the security over bought implying the sell signal. It touches the lower
band in the month of July and in the month of November 2009.


4.1.2 Moving average convergence and divergence (MACD):-

Graph: 4.1.2

At the end of September 2009 the Bajaj auto ltd stocks had a bull phase as shown.
This bull line crosses 0 in the month of Dec 2009 and Apr 2010 it indicates the selling
signal to the investors. It shows the buying signal in the month of July 2009 and Nov
2009.


4.1.3 Relative Strength index:-


Graph: 4.1.3.

When the RSI has crossed the 30 line from below to above and is rising, a buying
opportunity is indicated. When it has crossed the 70 line from above to below and is
falling, a sell signal is indicated. In the month of Sept 2009 and Dec 2009 shows the sell
signal. In the month of Nov 2009 and in the month of Feb 2010 it indicates the buying
signal.


4.1.4 Rate of change indicators:-


Graph: 4.1.4

When the ROC line is above the zero line, the price is rising and when it is below
the zero line the price is falling. At the end of June, Aug and Nov 2009 we have the buy
signal and at the end of july 2009, oct 2009 and Apr 2010.


4.1.5 TRIX:-


Graph: 4.1.5

The movement of slope in the trix line indicates the corresponding movement in
price of stock which can be observed from the above chart clearly. The chart indicates the
buying signal in the month of July 2009 and Sept 2009. It also indicates the sell signal in
the month of Aug 2009 and Sept 2009.


4.2 HERO HONDA

It indicates Hero Honda motors ltd. For the period 1 May 2009 to 30 April 2010

Graph: 4.2.1

deviation lead the Bollinger band width to 309.7

Here the price touches the upper band in the month of Aug 2009 and April 2010
indicating the security over bought implying the sell signal. It touches the lower band in
the month of Oct 2009 and in the month of Jan 2010 signaling buy.



Graph: 4.2.2

Hero Honda motors ltd stocks had a bull phase in Sep 2009 and Mar 2010. This
bull line crosses 0 in the month of Sept 2009 and Mar 2010 it indicates the selling signal
to the investors. It shows the buying signal in the month of Aug 2009 and Apr 2010


4.2.3. Relative Strength index:-


Graph: 4.2.3

falling, a sell signal is indicated. In the month of Aug 2009 and Mar 2010 shows the sell
signal.




Graph: 4.2.4

the zero line the price is falling. At the end of May, Aug and Nov 2009 we have the buy
signal and during Dec 2009 and Mar 2010 we have sell signal.


4.2.5 TRIX:-


Graph: 4.2.5

buying signal in the month of Sept 2009 and Nov 2009. It also indicates the sell signal in
the month of Aug 2009 and Mar 2010.


4.3. MARUTI UDYOG LTD.

It indicates Maruti Udyog ltd. For the period 1 May 2009 to 30 April 2010

Graph: 4.3.1


Here the price touches the upper band in the month of Aug 2009 indicating the
security over bought implying the sell signal. It touches the lower band in the month of
July 2009 and Mar 2010



Graph: 4.3.2

Hero Honda motors ltd stocks had a bull phase in Aug 2009 and Mar 2010. This
bull line crosses 0 in the month of Aug 2009 and Mar 2010 it indicates the selling signal
to the investors. It shows the buying signal in the month of Oct 2009 and Jan 2010.




Graph: 4.3.3

falling, a sell signal is indicated. In the month of Aug 2009 and Oct 2009 shows the sell
signal.




Graph: 4.3.4

the zero line the price is falling. At the end of Aug 2009 and Oct 2009 we have the buy
signal and during the start of Aug 2009 and Sept 2009 we have sell signal.


4.3.5 TRIX:-


Graph: 4.3.5

buying signal in the month of Nov 2009 and Feb 2010. It also indicates the sell signal in
the month of Aug 2009 and Mar 2010.


4.4. TVS MOTOR COMPANY
It indicates TVS Motor company ltd. For the period 1 May 2009 to 30 April 2010

Graph: 4.4.1

deviation lead the Bollinger band width to 17.74.

Here the price touches the upper band in the month of Aug 2009 and Jan 2010
indicating the security over bought implying the sell signal. It touches the lower band in
the month of Sept 2009 and Dec 2009.




Graph: 4.4.2

Hero Honda motors ltd stocks had a bull phase in Aug 2009 and Jan 2010. This
bull line crosses 0 in the month of Aug 2009 and Jan 2010 it indicates the selling signal to
the investors. It shows the buying signal in the month of July 2009 and Feb 2010.




Graph: 4.4.3

falling, a sell signal is indicated. In the month of Aug 2009 and Jan 2010 shows the sell
signal. It indicates the buying signal in the month of Nov 2009 and in the end of Feb
2010.




Graph: 4.4.4

the zero line the price is falling. At the end of Aug 2009 we have the buy signal and
during the start of Aug 2009, Jan 2010 and Mar 2010 we have sell signal.


4.4.5 TRIX:-


Graph: 4.4.5

buying signal in the month of Mar 2010. It also indicates the sell signal in the month of
Aug 2009 and Jan 2010.


4.5. TATA MOTORS LTD.
4.5.1 Bollinger Band width:-

Figure depicts the Bollinger Band width indicator of Tata Motors, for the period may 1 st
2009 to April 30th 2010.

Graph: 4.5.1


Here the price touches the upper band in the month of august 2009 and in the month of
March 2010 indicating the security over bought implying sell signal. And touches the
lower band in the month of June 2009 and February 2010 indicating it to be over sold and
a buy signal is indicated.



Figure the following chart depicts the MACD indicator of Tata motors, for the
period may 1st 2009 to April 30th 2010. The MACD is calculated by subtracting a 200 day
moving average of its price. The MACD’s trigger (the blue line) is a 200 days exponential
moving average of the MACD indicator.

Graph: 4.5.2

From beginning of august 2009 to the end of January 2010 the Tata Motors’s
stocks had a bullish trend as show i9n the fig. in the month of July 2009 and in end of
February the fig shows there is bearish trend. In the month of April 2010 there is increase
in the market, the bullish phase picked up. The MACD line reaches highest point in the
month of October 2009.



Figure depicts the ROC indicator of Tata Motors, for the period may10st 2009 to April
30th 2010.

Graph: 4.5.3

the zero line, the price is falling. There are a lot of fluctuations in the ROC implying the
market is volatile. The greatest fall in the price is in the month of July 2009and the
highest peak in the price in the 1 year period is in the month of august 2009, ideally one
should buy a share that is oversold and sell a share that is overbought. Hence it was ideal
to buy the shares of Tata Motors ltd in July 2009 and February 2010 and sell it in the
august 2010 or middle of March 2010.


4.5.4 Relative strength index:-

Figure the following chart the RSI compares the magnitude of a stock’s recent
gains to the magnitude of its recent losses and turns that information into a number that
ranges from 0 to 100. It is considered that a security is overbought if it reached the 70
level, meaning that the speculator should consider selling. Or conversely oversold at the
30 level.

Graph: 4.5.4

When the RSI has crossed the 30 line from below to above and is rising, a
buying opportunity is indicated. When it has crossed the 70line from above to below and
is falling, a sell signal is indicated. In this case it has crossed 70 indicating a selling
opportunity .and it has crossed the 30 line indicating a buying opportunity. But we can
clearly see that the Buying signal is more dominant than the Selling signal. Which lasted
the selling opportunity is seems to be in the month of July end 2009 and September 2009
to January end 2010.and also the Buying indicators seems several times between the
month of may 2009 to April 2010.


4.5.5 TRIX:-


Graph: 4.5.5

buying signal in the month of Aug 2009 it also indicates the sell signal in the month of
Aug 2009 and September 2009.


5.1 FINDINGS

The study focused on five companies that operate in five completely different
industries. Even though many different charting techniques are available, one method is
not necessarily better than the other. The data may be the same, but each method will
provide its own unique interpretation, with its own benefits and drawbacks. The choice of
charting methods, to use will depend on personal preferences and trading or investing
styles. Once you have chosen a particular charting methodology, it is probably best to
stick with it and learn how best to read the signals. Switching back and forth may cause
confusion and undermine the focus of your analysis.

5.1.1 BAJAJ AUTO LIMITED

TECHNICAL INDICATOR BUY SIGNAL SELLING SIGNAL
Bollinger Bands Width July, November October, April

MACD July, November December, April

RSI November, February September, December
ROC June, November July, October
TRIX July, September August, September

5.1.2 HERO HONDA MOTORS LTD.
Bollinger Bands Width October, January August, April

MACD August, April September, March

RSI November, February August, March
ROC August, November December, March
TRIX September, November August, March


5.1.3 MARUTI UDYOG LTD.

Bollinger Bands Width July, March August
MACD October, January August, March
RSI
Bollinger Bands Width November, February
September, December August, October
August, January
MACD
ROC July, February
August, October August, January
August, September
RSI
TRIX November, February January
August, March

ROC August August, March
TRIX November, February August, January

5.1.4 TVS MOTOR COMPANY

5.1.5 TATA MOTORS LTD.

Bollinger Bands Width June, February August, March

MACD July, February April

RSI May, April July, September

ROC July, February August, March

TRIX August September


5.2 SUGGESTIONS

Technical analysis will improve the investment decision.

 Technical analysis is simple and more reliable then fundamental analysis because
the information required for technical analysis is free available as compared to
fundamental analysis

 Investor should have knowledge regarding the market terms so that they can take
maximum return from maximum investment

 In case a trader entering in a new industries first he has to select stock to buy in
new industries after making careful study prospects and charts of the stock

 Even though technical analysis is enough for making decision In stock market,
simultaneous usage of both fundamental and technical analysis will reduce errors
in forecasting future prices


CONCLUSION

Technical analysis is a useful technique in guiding investment decisions. In light
of our study on five companies, we have seen how technical analysis can be used to
predict the possible futures swings of stock prices. After analyzing the companies, the
following conclusion was drawn.

According to RSI as the Gain increases, there is increase in the RSI value, which
indicates that there is increase in the share price. This states to the investor that it is a
strong sell signal. Whenever there is decrease in the share price value, RSI value
decreases which indicates the investor that it is a strong buy signal. In general, we can
conclude from the result that technical indicators can play useful role in the timing stock
market entry and exit. By applying technical indicators brokers or investors enjoy
substantial profit. Technical analysis cannot be answer for the questions faced by analyst.
It has to be in combination with fundamental analysis to have maximum effect.

It can be said that some tools of technical analysis are more useful than others.
However, none of them can be termed an analysts panacea. The stock price movements
are influenced by various fundamental factors and the economy as a whole. Even though
there are some universal principles and rules that can be applied, it must be remembered
that technical analysis is more an art form than a science. As an art form, it is subject to
interpretation. However, it is also flexible in its approach and each investor should use
only that which suits his or her style. Developing a style takes time, effort and dedication,
but the rewards can be significant.

Analysis can offer great insight but if used improperly, they can also produce false
signals. While trend lines have become a very popular aspect of technical analysis, they
are merely one tool for establishing, analyzing, and confirming a trend. Trend lines
should not be the final arbiter, but should serve merely as a warning that a change in trend
may be very useful. In some situation, this principle is violated. By studying four sectors,
it can be stated that technical analysis does not provide 100% accuracy to the investor. As
the stock prices are dynamic in nature, combination of Fundamental analysis and
technical analysis will increases the percentage of accuracy and thus giving an idea to the
investor to invest in that stock which will yield him good returns.



Bibliography

BOOKS:

Prasanna Chandra, Investment Analysis & Portfolio Management. 3rd edition, 2008

Bodie & Kane, Securities Analysis & Portfolio Management. 6th edition, 2004

Donald E Fischer, Securities Analysis & Portfolio Management, 6th edition, 2001

JOURNALS, MAGAZINES AND NEWSPAPERS:

A. Economics Times
B. Business line

Websites

www.nseindia.com
www.in.yahoo.finance.com

www.bseindia.com
www.icharts.com
www.stockcharts.com


Technical analysis a study on selected stocks conducted at religare securities limited, mysore

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