Final project

PROFITING FROM
TECHNICAL ANALYSIS IN
NATIONAL STOCK
EXCHANGE IN INDIAN
EQUITY INDEX: USING
MOVING AVERAGES
By
D. Dhanasekar

CHAPTER
NO.
DISCRIPTIONS PAGE
NO.
ACKNOWLEDGEMENT
ABBREVIATION
LIST OF CHARTS
LIST OF TABLES
I
INTRODUCTION
1.1 History Of Technical Analysis
1.2 Technical Analysis
1.3 Technical Analysis Versus Fundamental Analysis
1.4 Stock Market
1.5 Introduction About Stock Market
1.6 Equity Shares
1.7 Moving Averages
1.8 Simple Moving Average
1.9 Introduction About National Stock Exchange
1.10 Equity Derivative
1.11 Portfolio
1.12 Security Analysis
1.13 Volatility
1.14 Line Chart
1.15 Bar Charts
1.16 Candlestick Charts
1.17 Point and Figure Charts
II
REVIEW OF LITERATURE AND DESIGN OF THE STUDY
2. Review of Literature
2.1.1. Statement of the Problem
2.1.2. Objectives of the Study
2.1.3. Hypothesis of the Study

2.2. Methodology Of The Study
a) 2.2.1. Sample Selection
b) 2.2.2. Sources and Data Collection of the Data
c) 2.2.3. Period of the Study
2.2.4 Tools Used For The Study
a) 3 Days Moving Averages
b) 5 Days Moving Averages
c) 10 Days Moving Averages
d) 50 Days Moving Averages
e) 200 Days Moving Averages
f) Line Chart
2.2.5. Limitations of the Study
2.2.6. Chapter scheme of the Study
III
ANALYSIS OF TECHNICAL ANALYSIS USING MOVING
AVERAGES IN NATIONAL STOCK EXCHANGES
IV
ANALYSIS OF PROFITING FROM TECHNICAL ANALYSIS
IN NATIONAL STOCK EXCHANGE IN INDIA EQUITY
INDEX: USING MOVING AVERAGES
V FINDING, SUGGESTION AND CONCLUSION
a) Finding of the Study
b) Suggestions of the Study
c) Conclusion
BIBILOGRAPHY

LIST OF CHARTS
CHART
NO
DISCRIPTIONS PAGE
NO
3.1.1 Opening Value of CNX NSE Nifty During 1-1-2015 to 31-12-2015 – Line
Chart.
3.1.2 Opening Value of CNX NSE Nifty During 1-1-2016 to 31-12-2016 – Line
Chart
3.1.3 3 Days Moving Averages Value of CNX NSE Nifty During
1-1-2015 to 31-12-2015 - Line Chart
1-1-2016 to 31-12-2016 – Line Chart
1-1-2015 to 31-12-2015 – Line Chart
1-1-2016 to 31-12-2016
1-1-2015 to 31-12-2015 – Line Chart
1-1-2016 to 31-12-2016 – Line Chart
1-1-2015 to 31-12-2015 – Line Chart
1-1-2016 to 31-12-2016 – Line Chart
1-1-2015 to 31-12-2015 – Line Chart
1-1-2016 to 31-12-2016 – Line Chart

4.1.1 Open Value and 3 Days Moving Averages Value of CNX NSE Nifty
During 1-1-2016 to 31-12-2016
During 1-1-2016 to 31-12-2016
During 1-1-2015 to 31-12-2015
During 1-1-2016 to 31-12-2016
During 1-1-2016 to 31-12-2016
During 1-1-2016 to 31-12-2016
During 1-1-2015 to 31-12-2015
During 1-1-2016 to 31-12-2016
During 1-1-2015 to 31-12-2015
During 1-1-2015 to 31-12-2015
4.1.11 Opening Value, 3 Day Moving Averages, 5 Day Moving Averages, 10 Day
Moving Averages, 50 Day Moving Averages and 200 Days Moving
Averages Value of CNX NSE Nifty During 1-1-2015 to 31-12-2015
4.1.12 Opening Value, 3 Day Moving Averages, 5 Day Moving Averages, 10 Day
Moving Averages, 50 Day Moving Averages and 200 Days Moving
Averages Value of CNX NSE Nifty During 1-1-2015 to 31-12-2015

LIST OF ANNEXURES
Annexure I Opening Value Of NSE On 2015
Annexure II 3 Day Moving Averages Value In NSE On 2015
Annexure III 5 Days Moving Averages In NSE On 2015
Annexure IV 10 Day Moving Averages Value In NSE On 2015
Annexure V 50 Day Moving Averages Value In NSE On 2015
Annexure VI 200 Day Moving Averages Value In NSE On 2015
Annexure VII Opening Value Of NSE On 2016
Annexure VIII 3 Day Moving Averages Value In NSE On 2016
Annexure IX 5 Days Moving Averages In NSE On 2016
Annexure X 10 Day Moving Averages Value In NSE On 2016
Annexure XI 50 Day Moving Averages Value In NSE On 2016
Annexure XII 200 Day Moving Averages Value In NSE On 2016
Annexure XIII 5 Days Moving Averages In NSE On 2016
Annexure XIV 10 Day Moving Averages Value In NSE On 2016

LIST OF ABBREVIATION USED
NSE National Stock Exchange
MA Moving Averages
SMA Simple Moving Averages
AMA Adoptive Moving Averages
TRB Trade Range Breakout
VMA Variable Moving Averages
FMA Fixed Moving Averages
TA Technical Analysis
3 MA 3 Days Moving Averages

1.1 HISTORY OF TECHNICAL ANALYSIS:
Technical Analysis is probably reasonable to assume that where commerce has flourished
in civilizations so have the traders who have paid close attention to prices and their movements.
However, rather than dwell upon the wonders of the Phoenician market for olive oil forwards, or
the ancient Japanese and Chinese history of rice trading, our story starts with one Charles Dow,
inventor of the first stock market index in1884. Charles Dow invented point and figure charting
after he noticed that by the time important corporate news entered the public domain, the share
price had already moved, due not least to insider trading. Therefore he watched the open outcry
curb market, writing down prices in a notebook, looking for clues to trending market action.
Finding a page of price changes confusing, not surprisingly, he decided to plot price action in
graphic form. Mr Dow also wrote a series of articles for the Wall Street Journal in the latter years
of the 19th century. This body of work became known as Dow Theory and formed the initial
basis for what we know as technical analysis today. While we will not dwell on the finer details
of Dow Theory in this section, the most important concepts that Mr Dow recognised were that
prices reflect the current balance of supply and demand (i.e. the hopes and fears of investor).
And most importantly, an imbalance of supply and demand causes prices to form
recognisable trends, up and down. Certainly, the concept of studying price action was fairly well
established by the early 20th century. By the 1940s to 1950s additional pioneers of technical
analysis such as Bill Jiler, Robert Edwares, John Magee, Alexander Wheelan and Abe Cohen
were making steady progress, not only in the types of charts used to depict trends, but also
techniques for analysing price action. However the acceleration in technical research techniques
commenced in the late 1970s with the introduction of computers. This made it possible for
hypotheses and indicators to be calculated and back tested as to their efficacy. While this has

greatly expanded the body of theoretical work available on price studies, many seasoned chart
readers maintain that at least 90 percent of what they need to know about prices is revealed by
the price action alone.
1.2 TECHNICAL ANALYSIS:
Quite simply, technical analysis is the study of investor behaviour and its effect on
the subsequent price action of financial instruments. The main data that we need to perform our
studies are the price histories of the instruments, together with time and volume information.
These enable us to form our views, based on objective facts.
1.3 TECHNICAL ANALYSIS VERSUS FUNDAMENTAL ANALYSIS:
Fundamental Analysis concerns itself with establishing the value of stocks and other
instruments. The fundamental analyst will concern himself with complex inter-relationships of
financial statements, demand forecasts, quality of management, earnings and growth, etc. He will
then make a judgment on the share, commodity, or other financial instrument, often relative to its
sector or market peers and form a judgment whether it is over-or under-valued. The majority of
stock research from brokers or investment banks will be based on company fundamentals. At
Investors Intelligence, while we admire much of this work we take a more pragmatic approach;
we monitor and analyse the ways in which investors interpret this mass of fundamental data and
how they then behave. This behaviour is collectively called sentiment. Our view is that investor
sentiment is the single most important factor in determining an instruments price. We believe
that technical analysis holds the key to monitoring investor sentiment. Some investors and
market experts believe that fundamental analysis and technical analysis are mutually exclusive.

We disagree. We think they are highly complementary and should work together to tell
you what to buy or sell and when to buy or sell. Many successful traders use a combination of
fundamental stock selection procedures and technical analysis timing filters with excellent
results.
1.4 STOCK MARKET:
The stock market refers to the collection of markets and exchanges where the issuing and
trading of equities (stocks of publicly held companies), bonds and other sorts of securities takes
place, either through formal exchanges or over-the-counter markets. Also known as the equity
market, the stock market is one of the most vital components of a free-market economy, as it
provides companies with access to capital in exchange for giving investors a slice of ownership.
1.5 INTRODUCTION ABOUT STOCK MARKET:
Most trading in the Indian stock market occurs through its two exchanges – the Bombay
Stock Exchange and the National Stock Exchange. The BSE has been in existence since 1875,
but the NSE was founded in 1992 and started trading in 1994. Both follow the same rules and
mechanisms, and both list most of India’s major firms. Trading takes place between 9:15 am and
3:30 pm, Monday through Friday, Indian Standard time. Trades are settled two business days
after they’re made. Trading at the exchanges takes place through an open electronic limit order
book in which the computer matches orders. The process is order-driven, meaning the best limit
orders are automatically matched with market orders, so buyers and sellers remain anonymous.
All orders take place through brokers. Sensex and the S&P CNX Nifty are India’s two main

market indexes. Sensex, the oldest for equities, includes 30 firms listed on the BSE that represent
about 45% of the index’s free float market capitalization. The Nifty has 50 shares listed on the
NSE, representing about 62% of its free-float market capitalization. The Securities & Exchange
Board of India regulates the country’s stock market.
India started allowing outside investments in the 1990s. Foreign investments are either foreign
direct investments or foreign portfolio investments. FDIs allow investors to participate in the
company’s day-to-day operations; FPIs do not. India’s government determines FDI limits, and
has set different ceilings over the years. Foreign investors must register as a foreign institutional
investor or as a sub-account for one of the FIIs. They can invest directly into any stock listed on
an exchange.
1.6 EQUITY SHARES:
Equity shares are the main source of finance of a firm. It is issued to the general public.
Equity shareholders do not enjoy any preferential rights with regard to repayment of capital and
dividend. They are entitled to residual income of the company, but they enjoy the right to control
the affairs of the business and all the shareholders collectively are the owners of the company.
1.7 MOVING AVERAGES:
Among the most popular technical indicators, moving averages are used to gauge the
direction of the current trend. Every type of moving average (commonly written in this tutorial as
MA) is a mathematical result that is calculated by averaging a number of past data points. Once
determined, the resulting average is then plotted onto a chart in order to allow traders to look at

smoothed data rather than focusing on the day-to-day price fluctuations that are inherent in all
financial markets. The simplest form of a moving average, appropriately known as a simple
moving average (SMA), is calculated by taking the arithmetic mean of a given set of values.
Technical analysis has been around for decades and through the years, traders have seen the
invention of hundreds of indicators. While some technical indicators are more popular than
others, few have proved to be as objective, reliable and useful as the moving average. Moving
averages come in various forms, but their underlying purpose remains the same: to help technical
traders track the trends of financial assets by smoothing out the day-to-day price fluctuations,
or noise. By identifying trends, moving averages allow traders to make those trends work in
their favor and increase the number of winning trades. We hope that by the end of this tutorial
you will have a clear understanding of why moving averages are important, how they are
calculated and how you can incorporate them into your trading strategies.
1.8 SIMPLE MOVING AVERAGE:
A simple moving average is customizable in that it can be calculated for a different
number of time periods, simply by adding the closing price of the security for a number of time
periods and then dividing this total by the number of time periods, which gives the average price
of the security over the time period. A simple moving average smoothes out volatility, and
makes it easier to view the price trend of a security. If the simple moving average points up, this
means that the security's price is increasing. If it is pointing down it means that the security's
price is decreasing. The longer the timeframe for the moving average, the smoother the simple
moving average. A shorter-term moving average is more volatile, but its reading is closer to the
source data.

1.9 NATIONAL STOCK EXCHANGE:
The National Stock Exchange (NSE) is the leading stock exchange in India and the fourth
largest in the world by equity trading volume in 2015, according to World Federation of
Exchanges (WFE).It began operations in 1994 and is ranked as the largest stock exchange in
India in terms of total and average daily turnover for equity shares every year since 1995, based
on annual reports of SEBI. NSE launched electronic screen-based trading in 1994, derivatives
trading (in the form of index futures) and internet trading in 2000, which were each the first of its
kind in India. NSE has a fully-integrated business model comprising our exchange listings,
trading services, clearing and settlement services, indices, market data feeds, technology
solutions and financial education offerings. NSE also oversees compliance by trading and
clearing members and listed companies with the rules and regulations of the exchange. NSE is a
pioneer in technology and ensures the reliability and performance of its systems through a
culture of innovation and investment in technology. NSE believes that the scale and breadth of
its products and services, sustained leadership positions across multiple asset classes in India and
globally enable it to be highly reactive to market demands and changes and deliver innovation in
both trading and non-trading businesses to provide high-quality data and services to market
participants and clients.
1.10 EQUITY DERIVATIVE:
Equity derivative is a class of derivatives whose value is at least partly derived from one
or more underlying equity securities. Options and futures are by far the most common equity
derivatives. This section provides you with an insight into the daily activities of the equity

derivatives market segment on NSE. Two major products under Equity derivatives are Futures
and Options, which are available on Indices and Stocks.
1.11 PORTFOLIO:
A portfolio is a grouping of financial assets such as stocks, bonds and cash equivalents,
as well as their funds counterparts, including mutual, exchange-traded and closed funds.
Portfolios are held directly by investors and/or managed by financial professionals. Prudence
suggests that investors should construct an investment portfolio in accordance with risk
tolerance and investing objectives.
Portfolio management is the art and science of making decisions about investment mix and
policy, matching investments to objectives, asset allocation for individuals and institutions, and
balancing risk against performance. Portfolio management is all about determining strengths,
weaknesses, opportunities and threats in the choice of debt vs. equity, domestic vs. international,
growth vs. safety, and many other trade-offs encountered in the attempt to maximize return at a
given appetite for risk.
1.12 SECURITY ANALYSIS:
Security analysis is the analysis of tradeable financial instruments called securities. These
can be classified into debt securities, equities, or some hybrid of the two. More broadly, futures
contracts and tradeable credit derivatives are sometimes included. Security analysis is typically
divided into fundamental analysis, which relies upon the examination of fundamental business

factors such as financial statements, and technical analysis, which focuses upon price trends and
moment.
1.13 VOLATILITY:
Volatility is a statistical measure of the dispersion of returns for a given security
or market index. Volatility can either be measured by using the standard deviation or variance
between returns from that same security or market index. Commonly, the higher the volatility,
the riskier the security. A variable in option pricing formulas showing the extent to which the
return of the underlying asset will fluctuate between now and the option's expiration. Volatility,
as expressed as a percentage coefficient within option-pricing formulas, arises from daily trading
activities. How volatility is measured will affect the value of the coefficient used.
1.14 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.
1.15 BAR CHARTS:
The bar chart expands on the line chart by adding several more key pieces of information
to each data point. The chart is made up of a series of vertical lines that represent each data point.
This vertical line represents the high and low for the trading period, along with the closing price.

The close and open are represented on the vertical line by a horizontal dash. The opening price
on a bar chart is illustrated by the dash that is located on the left side of the vertical bar.
Conversely, the close is represented by the dash on the right. Generally, if the left dash (open) is
lower than the right dash (close) then the bar will be shaded black, representing an up period for
the stock, which means it has gained value. A bar that is colored red signals that the stock has
gone down in value over that period. When this is the case, the dash on the right (close) is lower
than the dash on the left (open).
1.16 CANDLESTICK CHARTS:
The candlestick chart is similar to a bar chart, but it differs in the way that it is visually
constructed. Similar to the bar chart, the candlestick also has a thin vertical line showing the
period's trading range. The difference comes in the formation of a wide bar on the vertical line,
which illustrates the difference between the open and close. And, like bar charts, candlesticks
also rely heavily on the use of colors to explain what has happened during the trading period. A
major problem with the candlestick color configuration, however, is that different sites use
different standards; therefore, it is important to understand the candlestick configuration used at
the chart site you are working with. There are two color constructs for days up and one for days
that the price falls. When the price of the stock is up and closes above the opening trade, the
candlestick will usually be white or clear. If the stock has traded down for the period, then the
candlestick will usually be red or black, depending on the site. If the stock's price has closed
above the previous day's close but below the day's open, the candlestick will be black or filled
with the color that is used to indicate an up day.

1.17 POINT AND FIGURE CHARTS:
The point and figure chart is not well known or used by the average investor but it has had a long
history of use dating back to the first technical traders. This type of chart reflects price
movements and is not as concerned about time and volume in the formulation of the points. The
point and figure chart removes the noise, or insignificant price movements, in the stock, which
can distort traders' views of the price trends. These types of charts also try to neutralize
the skewing effect that time has on chart analysis.

CHAPTER II
REVIEW OF LITERATURE AND DESIGGN
OF THE STUDY

The Second Chapter is Divided into two Sections as follows:
Section A: Review of Litreature
Section B: Design of the Study
Section – A
2.0 Review of Literature:
Wai Mun Fong, Lawrence H.M. Yong (2003) Chasing trends: recursive moving
average trading rules and internet stocks The recent rise and fall of Internet stock prices has
led to popular impressions of a speculative bubble in the Internet sector. It examined whether
investors could have exploited the momentum in Internet stocks using simple moving average
(MA) trading rules. It simulate real time technical trading using a recursive trading strategy
applied to over 800 moving average rules. Statistical inference takes into account conditional
heteroscedasticity and joint dependencies. No evidence of significant trading profits is found.
Most Internet stocks behave as random walks; this, combined with high volatility, may be the
reason for the dismal performance of the moving average rules.1
Craig A. Ellis, Simon A. Parbery (2004), Is smarter better? A comparison of
adaptive, and simple moving average trading strategies It examined the comparative
performance of an Adaptive Moving Average (AMA) on the Australian All Ordinaries, Dow
Jones Industrial Average, and Standard and Poor’s 500 stock market indices. The theoretical
advantage of the Adaptive Moving Average over fixed length Simple Moving Average (SMA)
trading systems is its ability to automatically respond to changing market conditions dependent
upon the level of volatility in the market. While the strategy is confirmed to have some market
timing ability, the overall results show returns to the Adaptive Moving Average cannot
compensate for the cost of trade therefore lending support for the use of a long run passive
strategy.2
1
Wai Mun Fong, Lawrence H.M. Yong (2003) “Chasing trends: recursive moving average trading rules and
internet stocks”
2
Craig A. Ellis, Simon A. Parbery (2004), “Is smarter better? A comparison of adaptive, and simple moving
average trading strategies”

Lai Ming-Ming, Lau Siok-Hwa (2005), The profitability of the simple moving
averages and trading range breakout in the Asian stock markets It examined the
profitability of the applications of variable and fixed moving averages as well as trading range
breakout (TRB) on nine popular daily Asian market indices from 1st January 1988 to 31st
December 2003. The test results provided strong support for variable moving averages (VMAs),
in particular, and fixed moving averages (FMAs) in the China, Thailand, Taiwan, Malaysian,
Singaporean, Hong Kong, Korean, and Indonesian stock markets. The length of 20 days and 60
days appeared to be the most profitable for variable and fixed moving averages, respectively.
The technical attractiveness of trading rules offers many profit opportunities for market
participants.3
Shyam Sundhar and Ram Kumar Kakani (2006), Profiting from Technical Analysis
in Indian Equity Markets: Using Moving Averages It examined the Weak form efficiency is
one of the different degrees of efficient market hypothesis (EMH) as proposed by Fama (1965).
Technical analysis is a method of evaluating financial instruments by analyzing statistics
generated by market activity, past prices and volume. Having found that there have been not
many recent studies testing the weak form hypothesis, it decided to undertake one. Period of the
Study 1991-2005 (a 15 year period). Corporate finance text books state that if markets are weak-
form efficient then technically analysis may be a waste of time. The above results contradict the
existing work on Indian stock markets supporting weak form efficiency. The possible
explanations for the same could be: (a) Moving average based trading rules were not tested in
these studies.4
Abeyratna Gunasekarage, David M. Power (2006), The profitability of moving
average trading rules in South Asian stock markets It examined the performance of one group
of these trading rules using index data for four emerging South Asian capital markets the
Bombay Stock Exchange, the Colombo Stock Exchange, the Dhaka Stock Exchange and the
3
Lai Ming-Ming, Lau Siok-Hwa (2005), “The profitability of the simple moving averages and trading range
breakout in the Asian stock markets”
4
Shyam Sundhar and Ram Kumar Kakani (2006), “Profiting from Technical Analysis in Indian Equity
Markets: Using Moving Averages”

Karachi Stock Exchange and examines the implications of the results for the weak form of the
efficient market hypothesis.5
Geoffrey C. Friesen, Paul A. Weller,Lee M. Dunham (2008) Price trends and
patterns in technical analysis: A theoretical and empirical examination It examined the
while many technical trading rules are based upon patterns in asset prices, we lack convincing
explanations of how and why these patterns arise, and why trading rules based on technical
analysis are profitable. This paper provides a model that explains the success of certain trading
rules that are based on patterns in past prices. It pointed to the importance of confirmation bias,
which has been shown to play a key role in other types of decision making. Traders who acquire
information and trade on the basis of that information tend to bias their interpretation of
subsequent information in the direction of their original view. This produces autocorrelations and
patterns of price movement that can predict future prices, such as the ‘‘head-and-shoulders” and
‘‘double-top” patterns.6
Hao Yu, Gilbert V. Nartea, Christopher Gan, Lee J. Yao (2012), Predictive ability
and profitability of simple technical trading rules: Recent evidence from Southeast Asian
stock markets It examined the investigates whether the moving average and trading range
breakout rules can forecast stock price movements and outperform a simple buy-and-hold
strategy after adjusting for transaction costs over the period from January 1991 to December
2008. The empirical results show that the trading rules have stronger predictive power in the
emerging stock markets of Malaysia, Thailand, Indonesia, and the Philippines than in the more
developed stock market of Singapore consistent with earlier studies. In addition, the short-term
variants of the technical trading rules have better predictive ability than long-term variants.7
5
Abeyratna Gunasekarage, David M. Power (2006), “The profitability of moving average trading rules in South
Asian stock markets”
6
Geoffrey C. Friesen, Paul A. Weller,Lee M. Dunham (2008) “Price trends and patterns in technical analysis: A
theoretical and empirical examination”
7
Hao Yu, Gilbert V. Nartea, Christopher Gan, Lee J. Yao (2012), “Predictive ability and profitability of simple
technical trading rules: Recent evidence from Southeast Asian stock markets”

Paresh Kumar Narayan, Huson Ali Ahmed,Susan Sunila Sharma (2013),
Prabheesh K.P How profitable is the Indian stock market? It examined the using a range of
technical trading and momentum trading strategies, we show that the Indian stock market is
profitable and there is a evidence that investing in some sectors is relatively more profitable than
investing in others. It shows that sectoral heterogeneity with respect to profitability is a result of
the gradual diffusion of information from the market to the sectors. Specifically, we show that
while the market predicts returns of sectors, the magnitude of predictability varies with sectors.
Our results are robust to a range of trading strategies.8
M. Thenmozhi and Abhijeet Chandra (2013), India Volatility Index (India VIX) and
Risk Management in the Indian Stock Market it examined the asymmetric relationship
between the India Volatility Index (India VIX)3 and stock market returns, and demonstrates that
Nifty returns are negatively related to the changes in the India VIX levels; in the case of high
upward movements in the market, the returns on the two indices tend to move independently.
When the market takes a sharp downward turn, the relationship is not as significant for higher
quantities. This property of the India VIX makes it ideal as a risk management tool whereby
derivative products based on the volatility index can be used for portfolio insurance against bad
declines.9
Dr. S.D. Vashishtha, Dr. Umed Singh, Rajesh Kumar (2013), Prediction Of Buy And
Sell Signals Using A Moving average-Tool of Technical Analysis It examined the Prevailing
business environment is full of complexities and confusion which leads to investors in a great
dilemma while making strategic decision pertaining to buying and selling of securities. In this
empirical and analytical study, five automobile companies were taken by with the help moving
average to make tentative prediction about buying and selling of securities.10
8
Paresh Kumar Narayan, Huson Ali Ahmed,Susan Sunila Sharma (2013), Prabheesh K.P “How profitable is the
Indian stock market?”
9
M. Thenmozhi and Abhijeet Chandra (2013), “India Volatility Index (India VIX) and Risk Management in the
Indian Stock Market”
10
Dr. S.D. Vashishtha, Dr. Umed Singh, Rajesh Kumar (2013),“Prediction Of Buy And Sell Signals Using A
Moving average-Tool of Technical Analysis”

Asheesh Pandey, Sanjay Sehgal (2014), Volatility effect and the role of firm quality
factor in returns: Evidence from the Indian stock market it examined that there are volatility
patterns in stock returns in India. Data are employed for 493 companies that form part of BSE
500 index from March 2000 to November 2013. Unlike previous international evidence, no
volatility anomaly is observed. Consistent with theory, high volatility stocks significantly
outperform low volatility stocks. Alternative risk models fail to explain the volatility effect.
Consistent with prior research, if confirm the role of firm quality factor to explained these
volatility patterns. Cash flow variability seems to be a more appropriate measure of firm quality
compared to profitability.11
Vinicius Amorim Sobreiro, Thiago Raymon Cruz Cacique da Costa (2016) The
profitability of moving average trading rules in BRICS and emerging stock markets It
examined the Technical analysis and trading systems have been widely used by practitioners in
financial markets. Since some academic studies have highlighted that these tools can generate
positive alphas when compared with a buy-and-hold strategy, It examined the main stocks of the
BRICS and emerging markets and the period from 2000 to 2015 and observed different
combinations of moving average strategies and periods. The main results indicate that, for some
countries, there is a combination of periods for moving averages producing better outcomes.12
Aparna Nayak, M. M. Manohara Pai and Radhika M. Pai (2016) Prediction Models
for Indian Stock Market It examined the Stock market price data is generated in huge volume
and it changes every second. Stock market is a complex and challenging system where people
will either gain money or lose their entire life savings and attempted to made for predicted in
stock market trend. Two models are built one for daily prediction and the other one is for
monthly prediction. Supervised machine learning algorithms are used to build the models. As
part of the daily prediction model, historical prices are combined with sentiments. Up to 70% of
11
Asheesh Pandey, Sanjay Sehgal (2014), “Volatility effect and the role of firm quality factor in returns:
Evidence from the Indian stock market”
12
Vinicius Amorim Sobreiro, Thiago Raymon Cruz Cacique da Costa (2016) “The profitability of moving
average trading rules in BRICS and emerging stock markets”

accuracy is observed using supervised machine learning algorithms on daily prediction model.
Monthly prediction model tries to evaluate whether there is any similarity between any two
months trend. Evaluation proves that trend of one month is least correlated with the trend of
another month.13
Gourishankar S. Hiremath, Seema Narayan, (2016) Testing the adaptive market
hypothesis and its determinants for the Indian stock markets It examined the adaptive
market hypothesis using the Generalized Hurst exponent, derived using fixed and rolling
windows. We find that the Indian stock market is moving towards efficiency and also ascertain a
positive and significant link between the Indian market’s efficiency gap and financial crises,
other international shocks and major domestic policy and crisis-related events. Net foreign
institutional investment increases the efficiency gap, although the impact is less for international
events. Foreign institutional investment and market microstructure factors do not influence
efficiency in an emerging market. This evidence would benefit a stock market liberalization
policy review.14
13
Aparna Nayak, M. M. Manohara Pai and Radhika M. Pai (2016), “Prediction Models for Indian Stock Market”
14
Gourishankar S. Hiremath, Seema Narayan, (2016), “Testing the adaptive market hypothesis and its
determinants for the Indian stock markets”

Section – B
2.1 Design of the Study
2.1.1 Statement of the Problem
The major problem in the National Stock Exchange was to give technical advice to
investors based on technical analysis. The study will provide an insight into the different aspect
of technical analysis which will help to guide the investors. For this purpose various technical
tools like 3 days Moving Averages, 5 days Moving Averages, 10 days Moving averages, 50 days
moving averages, 200 days moving averages and Line chart. Technical analysis is the study of
price movement and trend in markets in order to forecast future prices. Investment timing plays a
crucial role for trading in stock market trading. The investors face difficulty while identifying the
opportunities. Technical analysis is based on the interaction between the supply and demand for
the stocks, which can be caused by the rational and irrational factors. Technical analysts believe
that prices move in trend and can persist for a long time until something happens to the stocks.
Even though technical analysts do not know all the factors that influence the buying or selling of
all stocks, they believe that investors are able to know the actual shifts in the supply and demand
of stocks by looking into their market price behavior. So this analysis is directed towards the use
of different tools of technical analysis. Which help the investor to identify and decide when to
buy or sell the securities.
2.1.2 Objective of the Study
 To gain the practical knowledge of technical analysis.
 To know how technical tools used to predict future behavior of the stocks.
 To summarize the findings, suggestion and conclusion of the study.
2.1.3 Hypotheses of the Study
 The following null hypothesis is used on Indian stock markets do not follow a random
walk.

2.2 Methodology of the Study
2.2.1 Sample Selection
For the purpose of this study, CNX Nifty was selected as It is popular broad brand index.
2.2.2 Sources of the Data
The study mainly depended on secondary data. The required information for the study
was the NSE historical prices and they were collected from the www.nseindia.com. The other
required data were collected from various books, journals and magazines.
2.2.3 Period of the Study
The study period covered for two years from 1st
January 2015 to 31st
December 2016 for
analyzing the Moving Averages.
2.2.4 Tools Used for Analysis
 Simple Moving Averages
 3 Days Moving Averages
 200 Days Moving Averages, and
 Line Chart
1. Simple Moving Averages
The simplest form of a moving average, appropriately known as a simple moving
average (SMA), is calculated by taking the arithmetic mean of a given set of values. The SMA
trading rule involves comparison of the current market value with an ‘n’ day moving average.
Buy (sell) signals are emitted when the stock prices exceeds (is less than) the moving average.

a. 3 Days Moving Averages:
A 3-days Moving Averages would average out the closing prices for the first 3
days as the first data point. The next data point would drop the earliest price, add the
price on day 4 and take the average.
y1 + y2 + y3
3
y1,y2 and y3 = is the number of value
3 = is the average of three days
b. 5 Days Moving Averages:
y1 + y2 + y3 + y4 + y5
5
y1,y2, y3,y4 and y5 = is the number of value
5 = is the average of five days

c. 10 Days Moving Averages:
price on day 11and take the average.
y1 + y2 + y3 + y4 + y5 … … + yn
10
yn = is the number of value
10 = is the average of ten days
d. 50 Days Moving Averages:
y1 + y2 + y3 + y4 + y5 … … … … + yn
50
50 = is the average of fifty days
e. 200 Days Moving Averages:
A 200-days Moving Averages would average out the closing prices for the first
200 days as the first data point. The next data point would drop the earliest price, add the
price on day 201and take the average.
y1 + y2 + y3 + y4 + y5 … … … … … … … . … + yn
200
200 = is the average of two hundred days

f. Line Chart:
A style of chart that is created by connecting a series of data points together with
a line. This is the most basic type of chart used in finance and it is generally created by
connecting a series of past prices together with a line.
2.2.5 Limitation of the Study
 The following are the major limitations of the study
 Analysis involves using of limited technical tools.
 The study is restricted only one index in capital market.
 The study depends more on secondary data, and
 One cannot predict the value of the indices for long term.

2.2.6 Chapter Scheme of the Study
The present study is organized into five chapters.
Chapter I – Introduction
The first chapter begins with the introduction of Technical analysis and Technical analysis versus
Fundamental Analysis, stock market, National Stock Exchange India Ltd., , Derivatives, Equity,
Volatility, Security Analysis, Portfolio, Bar chart, Candlestick Chart, Line Chart and Point and Figure
Chart.
Chapter II – Review of Literature and Design of the Study
This chapter deals with Statement of the Problem, Need of the Study, Objectives of the Study,
Hypotheses of the Study, sample Selection, sources and collection of Data, Period of the Study, Tools
used for analysis, Limitations of the study and Chapter Scheme.
Chapter III – Analysis of Technical Analysis Using Moving Averages in National Stock Exchanges
In this third chapter an analysis Covers Moving Averages like 3 Days Moving Averages, 5 Days
Moving Averages, 10 Days Moving Averages, 50 Days Moving Averages, 200 Days Moving Averages
and Line Chart.
Chapter IV – Analysis of Profiting from Technical Analysis in National Stock Exchange in India
Equity Index: Using Moving Averages
The fourth chapter focuses the analysis of impact of Technical analysis in National Stock
Exchanges in India Equity Index using Moving averages.
Chapter V – Summary of Finding and Suggestion and Conclusion
The last chapter covers the important Findings, Suggestion, and Conclusion of the study.

CHAPTER III
ANALYSIS OF TECHNICAL ANALYSIS USING
MOVING AVERAGES IN NATIONAL STOCK
EXCHANGES

The analysis of this chapter is divided into two sections as follows:
Section A: Analysis of Technical Analysis Using Moving Averages in National Stock Exchanges
India Ltd.,
3.1.1 Opening Value of CNX NSE Nifty During 1-1-2015 to 31-12-2015 – Line Chart.
3.1.2 Opening Value of CNX NSE Nifty During 1-1-2016 to 31-12-2016 – Line Chart.
3.1.3 3 Days Moving Averages Value of CNX NSE Nifty During 1-1-2015 to 31-12-2015
- Line Chart.
- Line Chart.
- Line Chart
- Line Chart
- Line Chart
- Line Chart
- Line Chart
- Line Chart
- Line Chart
- Line Chart
Chart 3.1.1

Interpretation:
Chart 4.1 shows opening value of CNX NSE Nifty during 1-1-2015 to 31-12-2015. It is clear
from the chart that the opening value of CNX Nifty ranged from 7500 to 9001 this shows the
normal volatility during 2015.
Opening Value of CNX NSE Nifty During 1-1-2015 to 31-12-2015 –
Line Chart
Source: Collected from www.nseindia.com and computed by using Excel.
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Opening Price on NSE

Chart 3.1.2
Interpretation:
Chart 4.2 shows opening value of CNX NSE Nifty during 1-1-2016 to 31-12-2016. It is clear
from the chart that the opening value of CNX Nifty ranged from 7000 to 9000 this shows the
normal volatility during 2016.
Opening Value of CNX NSE Nifty During 1-1-2016 to 31-12-2016–
Line Chart
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
NSE Opening Price on 2016

Chart 3.1.3
Interpretation:
Chart 4.3 shows 3 Days Moving Averages value of CNX NSE Nifty during 1-1-2015 to 31-12-
2016. It is clear from the chart that the 3 Days Moving Averages value of CNX Nifty ranged
from 7700 to 9000 this shows the high volatility during 2015.
3 Days Moving Averages Value of CNX NSE Nifty
During 1-1-2015 to 31-12-2015 – Line Chart
6500
7000
7500
8000
8500
9000
9500
3 Days Moving Averages

Chart 3.1.4
Interpretation:
from 7000 to 8920 this shows the normal volatility during 2016.
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
3 Days Moving Averages 2016

Chart 3.1.5
Interpretation:
6500
7000
7500
8000
8500
9000
9500

Chart 3.1.6
Interpretation:
During 1-1-2016 to 31-12-2016
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
5 Days Moving Averages in NSE 2016

Chart 3.1.7
Interpretation:
7000
7200
7400
7600
7800
8000
8200
8400
8600
8800
9000

Chart 3.1.8
Interpretation:
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000

Chart 3.1.9
Interpretation:
2015. It is clear from the chart that the 50 Days Moving Averages value of CNX Nifty is shows
the no volatility of during 2015.
7400
7600
7800
8000
8200
8400
8600
8800
9000

Chart 3.1.10
Interpretation:
Chart 4.10 shows 50 Days Moving Averages value of CNX NSE Nifty during 1-1-2016 to 31-
12-2016. It is clear from the chart that the 50 Days Moving Averages value of CNX Nifty is
shows the no volatility of during 2016.
6500
7000
7500
8000
8500
9000

Chart 3.1.11
Interpretation:
8100
8150
8200
8250
8300
8350
8400
8450

Chart 3.1.12
Interpretation:
7950
8000
8050
8100
8150
8200
8250
8300

CHAPTER IV
ANALYSIS OF PROFITING FROM TECHNICAL
ANALYSIS IN NATIONAL STOCK EXCHANGE IN
INDIA EQUITY INDEX: USING MOVING
AVERAGES

The analysis of this chapter is analysis of profiting from technical analysis in national stock
Exchange Indian Equity Index: Using Moving Averages.
4.1.1 Open Value and 3 Days Moving Averages Value of CNX NSE Nifty During 1-1-2016 to
31-12-2016 - Line Chart
31-12-2016 - Line Chart
31-12-2015 - Line Chart.
31-12-2016 - Line Chart.
4.1.5 Open Value and 10 Days Moving Averages Value of CNX NSE Nifty During 1-1-2016
to 31-12-2016 - Line Chart.

4.1.11 Opening Value, 3 Day Moving Averages, 5 Day Moving Averages, 10 Day Moving
Averages, 50 Day Moving Averages and 200 Days Moving Averages Value of CNX
NSE Nifty During 1-1-2015 to 31-12-2015
4.1.12 Opening Value, 3 Day Moving Averages, 5 Day Moving Averages, 10 Day Moving
Averages, 50 Day Moving Averages and 200 Days Moving Averages Value of CNX
NSE Nifty During 1-1-2015 to 31-12-2015

Chart 4.1.1
Interpretation:
Chart 4.13 shows Opening value and 3Days Moving Averages value of CNX NSE Nifty during
1-1-2015 to 31-12-2015. It is clear from the chart that the opening value and 3Days Moving
Averages value of CNX Nifty range from shows the normal volatility during 2015. The Opening
value and 3 Days Moving Averages value of CNX Nifty is the blue line above the red line we
have to sell the shares and blue line below the red line we have to buy the shares.
Open Value and 3 Days Moving Averages Value of CNX NSE Nifty
During 1-1-2016 to 31-12-2016
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
NSE Open Price 2015 3 Days Moving Average for NSE 2015

Chart 4.1.2
Interpretation:
Chart 4.14 shows Opening value and 3Days Moving Averages value of CNX NSE Nifty during
1-1-2016 to 31-12-2016. It is clear from the chart that the opening value and 3Days Moving
During 1-1-2016 to 31-12-2016
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
opening price of NSE 2016 3 Days Moving Averages

Chart 4.1.3
Interpretation:
Chart 4.14 shows Opening value and 5 Days Moving Averages value of CNX NSE Nifty during
1-1-2016 to 31-12-2016. It is clear from the chart that the opening value and 5 Days Moving
During 1-1-2015 to 31-12-2015
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Open Price in NSE 5 Days Moving Averages for NSE

Chart 4.1.4
Interpretation:
Averages value of CNX Nifty range from shows the high volatility during 2015. The Opening
During 1-1-2016 to 31-12-2016
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Opening Price 5 Days Moving Averages 2016

Chart 4.1.5
Interpretation:
During 1-1-2016 to 31-12-2016
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Open Price in NSE 10 Days Moving Averages in NSE 2015

Chart 4.1.6
Interpretation:
During 1-1-2016 to 31-12-2016
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Open Price in NSE 2016 10 Days Moving Averages in NSE 2016

Chart 4.1.7
Interpretation:
Averages value of CNX Nifty range from shows the no volatility during 2015. The Opening
value and 50 Days Moving Averages value of CNX Nifty is the red line no volatility in the NSE
index.
During 1-1-2015 to 31-12-2015
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Opening Price on NSE 2015 50 Days Moving Averages in NSE 2015

Chart 4.1.8
Interpretation:
Averages value of CNX Nifty range from shows the no volatility during 2016. The Opening
value and 50 Days Moving Averages value of CNX Nifty is the red line no volatility in the NSE
index.
During 1-1-2016 to 31-12-2016
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00

Chart 4.1.9
Interpretation:
Chart 4.21 shows Opening value and 200 Days Moving Averages value of CNX NSE Nifty
during 1-1-2015 to 31-12-2015. It is clear from the chart that the opening value and 200 Days
Moving Averages value of CNX Nifty range from shows the no volatility during 2015. The
Opening value and 200 Days Moving Averages value of CNX Nifty is the red line no volatility
in the NSE index.
During 1-1-2015 to 31-12-2015
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00

Chart 4.1.10
Interpretation:
Chart 4.22 shows Opening value and 200 Days Moving Averages value of CNX NSE Nifty
during 1-1-2016 to 31-12-2016. It is clear from the chart that the opening value and 200 Days
Moving Averages value of CNX Nifty range from shows the no volatility during 2016. The
Opening value and 200 Days Moving Averages value of CNX Nifty is the red line no volatility
in the NSE index.
During 1-1-2015 to 31-12-2015
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00

Chart 4.1.11
Interpretation:
Chart 4.23 shows Opening Value, 3 Day Moving Averages, 5 Day Moving Averages, 10 Day
Moving Averages, 50 Day Moving Averages and 200 Days Moving Averages Value of CNX
NSE Nifty During 1-1-2015 to 31-12-2015. It is clear from the chart that the opening value, 3
Day Moving Averages, 5 Day Moving Averages and 10 Moving Averages are normal, normal
and high volatility. The 50 Day Moving Averages and 200 Day Moving Averages values are no
volatility.
Opening Value, 3 Day Moving Averages, 5 Day Moving Averages, 10 Day Moving
Averages, 50 Day Moving Averages and 200 Days Moving Averages Value of CNX NSE
Nifty During 1-1-2015 to 31-12-2015
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Opening Price in NSE
2015
3 Days Moving
Averages in NSE 2015
5 Days Moving
10 Days Moving
50 Days Moving
200 Days Moving

Chart 4.1.12
Interpretation:
Chart 4.23 shows Opening Value, 3 Day Moving Averages, 5 Day Moving Averages, 10 Day
Moving Averages, 50 Day Moving Averages and 200 Days Moving Averages Value of CNX
NSE Nifty During 1-1-2015 to 31-12-2015. It is clear from the chart that the opening value, 3
Day Moving Averages, 5 Day Moving Averages and 10 Moving Averages are normal, normal
and high volatility. The 50 Day Moving Averages and 200 Day Moving Averages values are no
volatility.
Opening Value, 3 Day Moving Averages, 5 Day Moving Averages, 10 Day Moving
Averages, 50 Day Moving Averages and 200 Days Moving Averages Value of CNX NSE
Nifty During 1-1-2016 to 31-12-2016
0.00
1000.00
2000.00
3000.00
4000.00
5000.00
6000.00
7000.00
8000.00
9000.00
10000.00
Open Price in NSE
2016
3 Days Moving
Averages in NSE
2016
5 Days Moving
Averages in NSE
2016
10 Days Moving
Averages in NSE
2016
50 Days Moving
Averages in NSE
2016
200 Days Moving
Averages in NSE
2016

CHAPTER V
SUMMARY OF FINDING, SUGGESTION
AND CONCLUSION

5.0 Findings of the Study:
 The analysis has been done mainly by the use of one the Technical tool called Moving
averages, which are the leading indicator in technical analysis.
 After analysis of National Stock Exchange India Ltd, it has been proved that by the use of
moving averages.
 An investor can identify oversold, overbought and trend reversals to take right investment
decisions at minimum level of risk.
 According to Moving averages indications it is better to take long position when there is
bullish divergend. On the other hand, it is better to take short position when there is
bearish divergence.
 Apart from these indicators, even an investor can identify popular chart patterns like
support and resistance. The line chart and other charts that helps an investor to take
investment decisions.
 An investor should be very careful in identifying the primary trend.
 The investor should not hesitate in increasing his position on identifying the strength and
hold on to his position until the trend gives a reverse signal.
 An investor is supposed to follow the principles laid down with total clarity and in good
faith, which will help him in reducing the psychological strain, stretch and pressures. This
will also help him in protecting from false roomers/wrong information and protecting
from market manipulation.

5.1 suggestion of the Study:
 An investor before going to invest, an investor should have clear knowledge of capital
market so it is the part of the company to educate the investor with relate to all the types
of investment alternatives available.
 As the long term investment is more favour to the index as it can enjoy the benefit of long
term cash reserve the marketer should try to push and pull more longer term inverstmetn
from the investors.
 Also it is necessary to keep in mind that only maintaining more and more fund reserve
only should not be the sole objective of the index, it should predicted the future changes
in the value of money, by changing its mind set the index should also play the role of
fund creator.
 Investors perceive that the stock market activities are risky and they hesitate to come
forward to invest in stock market, so the index has to execute such programs that train
and educate the investors about the benefits part of stock market investment and return
they get from it.

5.2 Conclusion:
Technical analysis is one of the advanced technique which is used to analyze securities
by analyzing the historical and other statistics which are generated by market activity. Technical
analysis is mainly based on three assumptions namely market discounts everything, Price moves
in trends. History tends to repeat itself. The Technical analysts states that all fundamentals of the
index or company are discounted by the market at any point of time, also they consider short
term approach to analyze the market than the long term analysis. Trend is the one of the
important concept in technical analysis which actually refers to a direction in which a security is
headed. Moving average is one of the important mathematical indicator, which is used to show
the average price movements of a security over a period.

BOOKS
Prasanna Chandra (2015), “Investment analysis and Portfolio Management” IV - Edition
Articles:
Wai Mun Fong*, Lawrence H.M. Yong (2003) “Chasing trends: recursive moving
average trading rules and internet stocks”
Craig A. Ellis, Simon A. Parbery (2004), “Is smarter better? A comparison of adaptive,
and simple moving average trading strategies”
Lai Ming-Ming, Lau Siok-Hwa (2005), “The profitability of the simple moving averages
and trading range breakout in the Asian stock markets”
Shyam Sundhar and Ram Kumar Kakani (2006), “Profiting from Technical Analysis in
Indian Equity Markets: Using Moving Averages”
Abeyratna Gunasekarage, David M. Power (2006), “The profitability of moving average
trading rules in South Asian stock markets”
Geoffrey C. Friesen, Paul A. Weller,Lee M. Dunham (2008) “Price trends and patterns in
technical analysis: A theoretical and empirical examination”
Hao Yu, Gilbert V. Nartea, Christopher Gan, Lee J. Yao (2012), “Predictive ability and
profitability of simple technical trading rules: Recent evidence from Southeast Asian
stock markets”
Paresh Kumar Narayan, Huson Ali Ahmed,Susan Sunila Sharma (2013), Prabheesh K.P
“How profitable is the Indian stock market?”
Dr. S.D. Vashishtha, Dr. Umed Singh, Rajesh Kumar (2013),“Prediction Of Buy And Sell
Signals Using A Moving average-Tool of Technical Analysis”
M. Thenmozhi and Abhijeet Chandra (2013), “India Volatility Index (India VIX) and Risk
Management in the Indian Stock Market”

Asheesh Pandey, Sanjay Sehgal (2014), “Volatility effect and the role of firm quality
factor in returns: Evidence from the Indian stock market”
Vinicius Amorim Sobreiro, Thiago Raymon Cruz Cacique da Costa (2016) “The
profitability of moving average trading rules in BRICS and emerging stock markets”
Aparna Nayak, M. M. Manohara Pai and Radhika M. Pai (2016), “Prediction Models for
Indian Stock Market”
Gourishankar S. Hiremath, Seema Narayan, (2016), “Testing the adaptive market
hypothesis and its determinants for the Indian stock markets”
Websites:
www.google.com
www.nseindia.com
www.moneycontrol.com
www.investment.com
www.yahoofinance.com
www.sciencedirect.com
www.ssrn.com
www.googlescholar.com

ANNEXURE I
OPENING VALUE OF NSE ON 2015
Sl.
No.
Dates
in
NSE
Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE
Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE
Index
Open
Price in
NSE
Index
1 1-Jan-15 8272.80 31 13-Feb-15 8741.50 61 30-Mar-15 8390.95
2 2-Jan-15 8288.70 32 16-Feb-15 8831.40 62 31-Mar-15 8527.60
3 5-Jan-15 8407.95 33 18-Feb-15 8811.55 63 1-Apr-15 8483.70
4 6-Jan-15 8325.30 34 19-Feb-15 8883.05 64 6-Apr-15 8615.80
5 7-Jan-15 8118.65 35 20-Feb-15 8895.50 65 7-Apr-15 8684.45
6 8-Jan-15 8191.40 36 23-Feb-15 8856.85 66 8-Apr-15 8698.95
7 9-Jan-15 8285.45 37 24-Feb-15 8772.90 67 9-Apr-15 8756.20
8 12-Jan-15 8291.35 38 25-Feb-15 8801.90 68 10-Apr-15 8774.35
9 13-Jan-15 8346.15 39 26-Feb-15 8779.00 69 13-Apr-15 8801.75
10 14-Jan-15 8307.25 40 27-Feb-15 8729.50 70 15-Apr-15 8844.75
11 15-Jan-15 8424.50 41 28-Feb-15 8913.05 71 16-Apr-15 8757.05
12 16-Jan-15 8504.05 42 2-Mar-15 8953.85 72 17-Apr-15 8698.05
13 19-Jan-15 8550.05 43 3-Mar-15 8962.85 73 20-Apr-15 8618.80
14 20-Jan-15 8575.10 44 4-Mar-15 9109.15 74 21-Apr-15 8416.10
15 21-Jan-15 8719.65 45 5-Mar-15 8929.40 75 22-Apr-15 8400.40
16 22-Jan-15 8745.85 46 9-Mar-15 8891.15 76 23-Apr-15 8478.20
17 23-Jan-15 8827.95 47 10-Mar-15 8769.75 77 24-Apr-15 8405.70
18 27-Jan-15 8871.35 48 11-Mar-15 8728.75 78 27-Apr-15 8330.55
19 28-Jan-15 8902.75 49 12-Mar-15 8740.65 79 28-Apr-15 8215.55
20 29-Jan-15 8901.50 50 13-Mar-15 8844.05 80 29-Apr-15 8274.80
21 30-Jan-15 8996.60 51 16-Mar-15 8656.75 81 30-Apr-15 8224.50
22 2-Feb-15 8802.50 52 17-Mar-15 8689.10 82 4-May-15 8230.05
23 3-Feb-15 8823.15 53 18-Mar-15 8742.90 83 5-May-15 8338.40
24 4-Feb-15 8789.15 54 19-Mar-15 8749.45 84 6-May-15 8316.60
25 5-Feb-15 8733.10 55 20-Mar-15 8627.90 85 7-May-15 8077.00
26 6-Feb-15 8696.85 56 23-Mar-15 8591.55 86 8-May-15 8131.50
27 9-Feb-15 8584.40 57 24-Mar-15 8537.05 87 11-May-15 8243.20
28 10-Feb-15 8478.10 58 25-Mar-15 8568.90 88 12-May-15 8326.15
29 11-Feb-15 8603.30 59 26-Mar-15 8474.95 89 13-May-15 8181.55
30 12-Feb-15 8676.95 60 27-Mar-15 8396.00 90 14-May-15 8232.45

ANNEXURE I
Sl.
No.
Dates
in
NSE
Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE
Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE Index
Open
Price in
NSE
Index
91 15-May-15 8240.30 121 26-Jun-15 8393.95 151 7-Aug-15 8580.80
92 18-May-15 8284.95 122 29-Jun-15 8247.05 152 10-Aug-15 8577.00
93 19-May-15 8356.20 123 30-Jun-15 8316.35 153 11-Aug-15 8548.45
94 20-May-15 8392.65 124 1-Jul-15 8376.25 154 12-Aug-15 8445.70
95 21-May-15 8434.50 125 2-Jul-15 8471.95 155 13-Aug-15 8384.45
96 22-May-15 8432.50 126 3-Jul-15 8440.10 156 14-Aug-15 8402.35
97 25-May-15 8438.15 127 6-Jul-15 8386.15 157 17-Aug-15 8530.50
98 26-May-15 8377.10 128 7-Jul-15 8525.50 158 18-Aug-15 8505.85
99 27-May-15 8302.75 129 8-Jul-15 8439.20 159 19-Aug-15 8468.05
100 28-May-15 8345.70 130 9-Jul-15 8364.85 160 20-Aug-15 8471.05
101 29-May-15 8327.10 131 10-Jul-15 8365.70 161 21-Aug-15 8305.40
102 1-Jun-15 8417.25 132 13-Jul-15 8397.25 162 24-Aug-15 8055.95
103 2-Jun-15 8442.80 133 14-Jul-15 8470.60 163 25-Aug-15 7895.40
104 3-Jun-15 8232.45 134 15-Jul-15 8463.40 164 26-Aug-15 7865.25
105 4-Jun-15 8155.15 135 16-Jul-15 8546.15 165 27-Aug-15 7921.60
106 5-Jun-15 8119.15 136 17-Jul-15 8623.65 166 28-Aug-15 8053.70
107 8-Jun-15 8124.35 137 20-Jul-15 8623.90 167 31-Aug-15 8009.25
108 9-Jun-15 8026.50 138 21-Jul-15 8601.50 168 1-Sep-15 7907.95
109 10-Jun-15 8024.15 139 22-Jul-15 8512.25 169 2-Sep-15 7856.65
110 11-Jun-15 8157.30 140 23-Jul-15 8643.95 170 3-Sep-15 7774.45
111 12-Jun-15 7959.85 141 24-Jul-15 8588.15 171 4-Sep-15 7803.40
112 15-Jun-15 7986.60 142 27-Jul-15 8492.10 172 7-Sep-15 7685.85
113 16-Jun-15 8004.20 143 28-Jul-15 8371.10 173 8-Sep-15 7587.70
114 17-Jun-15 8084.20 144 29-Jul-15 8365.60 174 9-Sep-15 7805.85
115 18-Jun-15 8113.70 145 30-Jul-15 8417.00 175 10-Sep-15 7729.05
116 19-Jun-15 8201.15 146 31-Jul-15 8456.10 176 11-Sep-15 7833.80
117 22-Jun-15 8259.30 147 3-Aug-15 8510.65 177 14-Sep-15 7811.10
118 23-Jun-15 8377.45 148 4-Aug-15 8564.10 178 15-Sep-15 7867.35
119 24-Jun-15 8399.40 149 5-Aug-15 8547.45 179 16-Sep-15 7886.85
120 25-Jun-15 8336.25 150 6-Aug-15 8585.80 180 18-Sep-15 7967.45

ANNEXURE I
Sl.
No.
Dates
in
NSE
Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE
Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE
Index
Open
Price in
NSE
Index
181 21-Sep-15 7911.50 211 5-Nov-15 8030.35 241 21-Dec-15 7745.65
182 22-Sep-15 8014.80 212 6-Nov-15 7956.55 242 22-Dec-15 7829.40
183 23-Sep-15 7737.35 213 9-Nov-15 7788.25 243 23-Dec-15 7830.45
184 24-Sep-15 7838.40 214 10-Nov-15 7877.60 244 24-Dec-15 7888.75
185 28-Sep-15 7892.80 215 11-Nov-15 7838.80 245 28-Dec-15 7863.20
186 29-Sep-15 7725.70 216 13-Nov-15 7762.45 246 29-Dec-15 7929.20
187 30-Sep-15 7924.25 217 16-Nov-15 7732.95 247 30-Dec-15 7938.60
188 1-Oct-15 7992.05 218 17-Nov-15 7848.75 248 31-Dec-15 7897.80
189 5-Oct-15 8005.10 219 18-Nov-15 7823.15
190 6-Oct-15 8180.45 220 19-Nov-15 7788.50
191 7-Oct-15 8146.20 221 20-Nov-15 7841.90
192 8-Oct-15 8196.75 222 23-Nov-15 7869.50
193 9-Oct-15 8186.35 223 24-Nov-15 7837.00
194 12-Oct-15 8231.50 224 26-Nov-15 7837.15
195 13-Oct-15 8121.95 225 27-Nov-15 7910.60
196 14-Oct-15 8102.40 226 30-Nov-15 7936.25
197 15-Oct-15 8134.35 227 1-Dec-15 7958.15
198 16-Oct-15 8193.65 228 2-Dec-15 7976.70
199 19-Oct-15 8262.55 229 3-Dec-15 7902.30
200 20-Oct-15 8280.30 230 4-Dec-15 7817.60
201 21-Oct-15 8258.35 231 7-Dec-15 7816.55
202 23-Oct-15 8308.25 232 8-Dec-15 7738.50
203 26-Oct-15 8333.65 233 9-Dec-15 7695.50
204 27-Oct-15 8230.35 234 10-Dec-15 7643.30
205 28-Oct-15 8188.90 235 11-Dec-15 7699.60
206 29-Oct-15 8175.45 236 14-Dec-15 7558.20
207 30-Oct-15 8123.55 237 15-Dec-15 7659.15
208 2-Nov-15 8054.55 238 16-Dec-15 7725.25
209 3-Nov-15 8086.35 239 17-Dec-15 7783.05
210 4-Nov-15 8104.90 240 18-Dec-15 7828.90

ANNEXURE II
3 DAY MOVING AVERAGES VALUE IN NSE ON 2015
Sl.
No.
Dates
in
NSE
Index
3 Days
MA
Sl.
No.
Dates
in
NSE Index
3 Days
MA
Sl.
No.
Dates
in
NSE Index
3 Days
MA
1 1-Jan-15 31 13-Feb-15 8586.12 61 30-Mar-15 8479.95
2 2-Jan-15 32 16-Feb-15 8673.92 62 31-Mar-15 8420.63
3 5-Jan-15 33 18-Feb-15 8749.95 63 1-Apr-15 8438.18
4 6-Jan-15 8323.15 34 19-Feb-15 8794.82 64 6-Apr-15 8467.42
5 7-Jan-15 8340.65 35 20-Feb-15 8842.00 65 7-Apr-15 8542.37
6 8-Jan-15 8283.97 36 23-Feb-15 8863.37 66 8-Apr-15 8594.65
7 9-Jan-15 8211.78 37 24-Feb-15 8878.47 67 9-Apr-15 8666.40
8 12-Jan-15 8198.50 38 25-Feb-15 8841.75 68 10-Apr-15 8713.20
9 13-Jan-15 8256.07 39 26-Feb-15 8810.55 69 13-Apr-15 8743.17
10 14-Jan-15 8307.65 40 27-Feb-15 8784.60 70 15-Apr-15 8777.43
11 15-Jan-15 8314.92 41 28-Feb-15 8770.13 71 16-Apr-15 8806.95
12 16-Jan-15 8359.30 42 2-Mar-15 8807.18 72 17-Apr-15 8801.18
13 19-Jan-15 8411.93 43 3-Mar-15 8865.47 73 20-Apr-15 8766.62
14 20-Jan-15 8492.87 44 4-Mar-15 8943.25 74 21-Apr-15 8691.30
15 21-Jan-15 8543.07 45 5-Mar-15 9008.62 75 22-Apr-15 8577.65
16 22-Jan-15 8614.93 46 9-Mar-15 9000.47 76 23-Apr-15 8478.43
17 23-Jan-15 8680.20 47 10-Mar-15 8976.57 77 24-Apr-15 8431.57
18 27-Jan-15 8764.48 48 11-Mar-15 8863.43 78 27-Apr-15 8428.10
19 28-Jan-15 8815.05 49 12-Mar-15 8796.55 79 28-Apr-15 8404.82
20 29-Jan-15 8867.35 50 13-Mar-15 8746.38 80 29-Apr-15 8317.27
21 30-Jan-15 8891.87 51 16-Mar-15 8771.15 81 30-Apr-15 8273.63
22 2-Feb-15 8933.62 52 17-Mar-15 8747.15 82 4-May-15 8238.28
23 3-Feb-15 8900.20 53 18-Mar-15 8729.97 83 5-May-15 8243.12
24 4-Feb-15 8874.08 54 19-Mar-15 8696.25 84 6-May-15 8264.32
25 5-Feb-15 8804.93 55 20-Mar-15 8727.15 85 7-May-15 8295.02
26 6-Feb-15 8781.80 56 23-Mar-15 8706.75 86 8-May-15 8244.00
27 9-Feb-15 8739.70 57 24-Mar-15 8656.30 87 11-May-15 8175.03
28 10-Feb-15 8671.45 58 25-Mar-15 8585.50 88 12-May-15 8150.57
29 11-Feb-15 8586.45 59 26-Mar-15 8565.83 89 13-May-15 8233.62
30 12-Feb-15 8555.27 60 27-Mar-15 8526.97 90 14-May-15 8250.30

ANNEXURE II
Sl.
No.
Dates
in
NSE Index
3 Days
MA
Sl.
No.
Dates
in
NSE Index
3 Days
MA
Sl.
No.
Dates
in
NSE Index
3 Days
MA
91 15-May-15 8246.72 121 26-Jun-15 8371.03 151 7-Aug-15 8565.78
92 18-May-15 8218.10 122 29-Jun-15 8376.53 152 10-Aug-15 8571.35
93 19-May-15 8252.57 123 30-Jun-15 8325.75 153 11-Aug-15 8581.20
94 20-May-15 8293.82 124 1-Jul-15 8319.12 154 12-Aug-15 8568.75
95 21-May-15 8344.60 125 2-Jul-15 8313.22 155 13-Aug-15 8523.72
96 22-May-15 8394.45 126 3-Jul-15 8388.18 156 14-Aug-15 8459.53
97 25-May-15 8419.88 127 6-Jul-15 8429.43 157 17-Aug-15 8410.83
98 26-May-15 8435.05 128 7-Jul-15 8432.73 158 18-Aug-15 8439.10
99 27-May-15 8415.92 129 8-Jul-15 8450.58 159 19-Aug-15 8479.57
100 28-May-15 8372.67 130 9-Jul-15 8450.28 160 20-Aug-15 8501.47
101 29-May-15 8341.85 131 10-Jul-15 8443.18 161 21-Aug-15 8481.65
102 1-Jun-15 8325.18 132 13-Jul-15 8389.92 162 24-Aug-15 8414.83
103 2-Jun-15 8363.35 133 14-Jul-15 8375.93 163 25-Aug-15 8277.47
104 3-Jun-15 8395.72 134 15-Jul-15 8411.18 164 26-Aug-15 8085.58
105 4-Jun-15 8364.17 135 16-Jul-15 8443.75 165 27-Aug-15 7938.87
106 5-Jun-15 8276.80 136 17-Jul-15 8493.38 166 28-Aug-15 7894.08
107 8-Jun-15 8168.92 137 20-Jul-15 8544.40 167 31-Aug-15 7946.85
108 9-Jun-15 8132.88 138 21-Jul-15 8597.90 168 1-Sep-15 7994.85
109 10-Jun-15 8090.00 139 22-Jul-15 8616.35 169 2-Sep-15 7990.30
110 11-Jun-15 8058.33 140 23-Jul-15 8579.22 170 3-Sep-15 7924.62
111 12-Jun-15 8069.32 141 24-Jul-15 8585.90 171 4-Sep-15 7846.35
112 15-Jun-15 8047.10 142 27-Jul-15 8581.45 172 7-Sep-15 7811.50
113 16-Jun-15 8034.58 143 28-Jul-15 8574.73 173 8-Sep-15 7754.57
114 17-Jun-15 7983.55 144 29-Jul-15 8483.78 174 9-Sep-15 7692.32
115 18-Jun-15 8025.00 145 30-Jul-15 8409.60 175 10-Sep-15 7693.13
116 19-Jun-15 8067.37 146 31-Jul-15 8384.57 176 11-Sep-15 7707.53
117 22-Jun-15 8133.02 147 3-Aug-15 8412.90 177 14-Sep-15 7789.57
118 23-Jun-15 8191.38 148 4-Aug-15 8461.25 178 15-Sep-15 7791.32
119 24-Jun-15 8279.30 149 5-Aug-15 8510.28 179 16-Sep-15 7837.42
120 25-Jun-15 8345.38 150 6-Aug-15 8540.73 180 18-Sep-15 7855.10

ANNEXURE II
Sl.
No.
Dates
in
NSE Index
3 Days
MA
Sl.
No.
Dates
in
NSE Index
3 Days
MA
Sl.
No.
Dates
in
NSE Index
3 Days
MA
181 21-Sep-15 7907.22 211 5-Nov-15 8081.93 241 21-Dec-15 7779.07
182 22-Sep-15 7921.93 212 6-Nov-15 8073.87 242 22-Dec-15 7785.87
183 23-Sep-15 7964.58 213 9-Nov-15 8030.60 243 23-Dec-15 7801.32
184 24-Sep-15 7887.88 214 10-Nov-15 7925.05 244 24-Dec-15 7801.83
185 28-Sep-15 7863.52 215 11-Nov-15 7874.13 245 28-Dec-15 7849.53
186 29-Sep-15 7822.85 216 13-Nov-15 7834.88 246 29-Dec-15 7860.80
187 30-Sep-15 7818.97 217 16-Nov-15 7826.28 247 30-Dec-15 7893.72
188 1-Oct-15 7847.58 218 17-Nov-15 7778.07 248 31-Dec-15 7910.33
189 5-Oct-15 7880.67 219 18-Nov-15 7781.38
190 6-Oct-15 7973.80 220 19-Nov-15 7801.62
191 7-Oct-15 8059.20 221 20-Nov-15 7820.13
192 8-Oct-15 8110.58 222 23-Nov-15 7817.85
193 9-Oct-15 8174.47 223 24-Nov-15 7833.30
194 12-Oct-15 8176.43 224 26-Nov-15 7849.47
195 13-Oct-15 8204.87 225 27-Nov-15 7847.88
196 14-Oct-15 8179.93 226 30-Nov-15 7861.58
197 15-Oct-15 8151.95 227 1-Dec-15 7894.67
198 16-Oct-15 8119.57 228 2-Dec-15 7935.00
199 19-Oct-15 8143.47 229 3-Dec-15 7957.03
200 20-Oct-15 8196.85 230 4-Dec-15 7945.72
201 21-Oct-15 8245.50 231 7-Dec-15 7898.87
202 23-Oct-15 8267.07 232 8-Dec-15 7845.48
203 26-Oct-15 8282.30 233 9-Dec-15 7790.88
204 27-Oct-15 8300.08 234 10-Dec-15 7750.18
205 28-Oct-15 8290.75 235 11-Dec-15 7692.43
206 29-Oct-15 8250.97 236 14-Dec-15 7679.47
207 30-Oct-15 8198.23 237 15-Dec-15 7633.70
208 2-Nov-15 8162.63 238 16-Dec-15 7638.98
209 3-Nov-15 8117.85 239 17-Dec-15 7647.53
210 4-Nov-15 8088.15 240 18-Dec-15 7722.48

ANNEXURE III
5 DAYS MOVING AVERAGES IN NSE ON 2015
Sl.
No.
Dates
in
NSE
Index
5 Days
MA
Sl.
No.
Dates
in
NSE Index
5 Days
MA
Sl.
No.
Dates
in
NSE Index
5 Days
MA
1 1-Jan-15 31 13-Feb-15 8607.92 61 30-Mar-15 8513.69
2 2-Jan-15 32 16-Feb-15 8616.85 62 31-Mar-15 8473.57
3 5-Jan-15 33 18-Feb-15 8666.25 63 1-Apr-15 8471.68
4 6-Jan-15 34 19-Feb-15 8732.94 64 6-Apr-15 8454.64
5 7-Jan-15 35 20-Feb-15 8788.89 65 7-Apr-15 8482.81
6 8-Jan-15 8282.68 36 23-Feb-15 8832.60 66 8-Apr-15 8540.50
7 9-Jan-15 8266.40 37 24-Feb-15 8855.67 67 9-Apr-15 8602.10
8 12-Jan-15 8265.75 38 25-Feb-15 8843.97 68 10-Apr-15 8647.82
9 13-Jan-15 8242.43 39 26-Feb-15 8842.04 69 13-Apr-15 8705.95
10 14-Jan-15 8246.60 40 27-Feb-15 8821.23 70 15-Apr-15 8743.14
11 15-Jan-15 8284.32 41 28-Feb-15 8788.03 71 16-Apr-15 8775.20
12 16-Jan-15 8330.94 42 2-Mar-15 8799.27 72 17-Apr-15 8786.82
13 19-Jan-15 8374.66 43 3-Mar-15 8835.46 73 20-Apr-15 8775.19
14 20-Jan-15 8426.40 44 4-Mar-15 8867.65 74 21-Apr-15 8744.08
15 21-Jan-15 8472.19 45 5-Mar-15 8933.68 75 22-Apr-15 8666.95
16 22-Jan-15 8554.67 46 9-Mar-15 8973.66 76 23-Apr-15 8578.08
17 23-Jan-15 8618.94 47 10-Mar-15 8969.28 77 24-Apr-15 8522.31
18 27-Jan-15 8683.72 48 11-Mar-15 8932.46 78 27-Apr-15 8463.84
19 28-Jan-15 8747.98 49 12-Mar-15 8885.64 79 28-Apr-15 8406.19
20 29-Jan-15 8813.51 50 13-Mar-15 8811.94 80 29-Apr-15 8366.08
21 30-Jan-15 8849.88 51 16-Mar-15 8794.87 81 30-Apr-15 8340.96
22 2-Feb-15 8900.03 52 17-Mar-15 8747.99 82 4-May-15 8290.22
23 3-Feb-15 8894.94 53 18-Mar-15 8731.86 83 5-May-15 8255.09
24 4-Feb-15 8885.30 54 19-Mar-15 8734.69 84 6-May-15 8256.66
25 5-Feb-15 8862.58 55 20-Mar-15 8736.45 85 7-May-15 8276.87
26 6-Feb-15 8828.90 56 23-Mar-15 8693.22 86 8-May-15 8237.31
27 9-Feb-15 8768.95 57 24-Mar-15 8680.18 87 11-May-15 8218.71
28 10-Feb-15 8725.33 58 25-Mar-15 8649.77 88 12-May-15 8221.34
29 11-Feb-15 8656.32 59 26-Mar-15 8614.97 89 13-May-15 8218.89
30 12-Feb-15 8619.15 60 27-Mar-15 8560.07 90 14-May-15 8191.88

ANNEXURE III
Sl.
No.
Dates
in
NSE Index
5 Days
MA
Sl.
No.
Dates
in
NSE Index
5 Days
MA
Sl.
No.
Dates
in
NSE Index
5 Days
MA
91 15-May-15 8222.97 121 26-Jun-15 8314.71 151 7-Aug-15 8532.82
92 18-May-15 8244.73 122 29-Jun-15 8353.27 152 10-Aug-15 8557.76
93 19-May-15 8253.08 123 30-Jun-15 8350.82 153 11-Aug-15 8571.03
94 20-May-15 8259.09 124 1-Jul-15 8338.60 154 12-Aug-15 8567.90
95 21-May-15 8301.31 125 2-Jul-15 8333.97 155 13-Aug-15 8547.55
96 22-May-15 8341.72 126 3-Jul-15 8361.11 156 14-Aug-15 8507.28
97 25-May-15 8380.16 127 6-Jul-15 8370.34 157 17-Aug-15 8471.59
98 26-May-15 8410.80 128 7-Jul-15 8398.16 158 18-Aug-15 8462.29
99 27-May-15 8414.98 129 8-Jul-15 8439.99 159 19-Aug-15 8453.77
100 28-May-15 8397.00 130 9-Jul-15 8452.58 160 20-Aug-15 8458.24
101 29-May-15 8379.24 131 10-Jul-15 8431.16 161 21-Aug-15 8475.56
102 1-Jun-15 8358.16 132 13-Jul-15 8416.28 162 24-Aug-15 8456.17
103 2-Jun-15 8353.98 133 14-Jul-15 8418.50 163 25-Aug-15 8361.26
104 3-Jun-15 8367.12 134 15-Jul-15 8407.52 164 26-Aug-15 8239.17
105 4-Jun-15 8353.06 135 16-Jul-15 8412.36 165 27-Aug-15 8118.61
106 5-Jun-15 8314.95 136 17-Jul-15 8448.62 166 28-Aug-15 8008.72
107 8-Jun-15 8273.36 137 20-Jul-15 8500.21 167 31-Aug-15 7958.38
108 9-Jun-15 8214.78 138 21-Jul-15 8545.54 168 1-Sep-15 7949.04
109 10-Jun-15 8131.52 139 22-Jul-15 8571.72 169 2-Sep-15 7951.55
110 11-Jun-15 8089.86 140 23-Jul-15 8581.49 170 3-Sep-15 7949.83
111 12-Jun-15 8090.29 141 24-Jul-15 8601.05 171 4-Sep-15 7920.40
112 15-Jun-15 8058.43 142 27-Jul-15 8593.95 172 7-Sep-15 7870.34
113 16-Jun-15 8030.88 143 28-Jul-15 8567.59 173 8-Sep-15 7805.66
114 17-Jun-15 8026.42 144 29-Jul-15 8521.51 174 9-Sep-15 7741.61
115 18-Jun-15 8038.43 145 30-Jul-15 8492.18 175 10-Sep-15 7731.45
116 19-Jun-15 8029.71 146 31-Jul-15 8446.79 176 11-Sep-15 7722.37
117 22-Jun-15 8077.97 147 3-Aug-15 8420.38 177 14-Sep-15 7728.45
118 23-Jun-15 8132.51 148 4-Aug-15 8424.09 178 15-Sep-15 7753.50
119 24-Jun-15 8207.16 149 5-Aug-15 8462.69 179 16-Sep-15 7809.43
120 25-Jun-15 8270.20 150 6-Aug-15 8499.06 180 18-Sep-15 7825.63

ANNEXURE III
Sl.
No.
Dates
in
NSE Index
5 Days
MA
Sl.
No.
Dates
in
NSE Index
5 Days
MA
Sl.
No.
Dates
in
NSE Index
5 Days
MA
181 21-Sep-15 7873.31 211 5-Nov-15 8108.96 241 21-Dec-15 7710.91
182 22-Sep-15 7888.85 212 6-Nov-15 8079.94 242 22-Dec-15 7748.40
183 23-Sep-15 7929.59 213 9-Nov-15 8046.54 243 23-Dec-15 7782.45
184 24-Sep-15 7903.59 214 10-Nov-15 7993.28 244 24-Dec-15 7803.49
185 28-Sep-15 7893.90 215 11-Nov-15 7951.53 245 28-Dec-15 7824.63
186 29-Sep-15 7878.97 216 13-Nov-15 7898.31 246 29-Dec-15 7831.49
187 30-Sep-15 7841.81 217 16-Nov-15 7844.73 247 30-Dec-15 7868.20
188 1-Oct-15 7823.70 218 17-Nov-15 7800.01 248 31-Dec-15 7890.04
189 5-Oct-15 7874.64 219 18-Nov-15 7812.11
190 6-Oct-15 7907.98 220 19-Nov-15 7801.22
191 7-Oct-15 7965.51 221 20-Nov-15 7791.16
192 8-Oct-15 8049.61 222 23-Nov-15 7807.05
193 9-Oct-15 8104.11 223 24-Nov-15 7834.36
194 12-Oct-15 8142.97 224 26-Nov-15 7832.01
195 13-Oct-15 8188.25 225 27-Nov-15 7834.81
196 14-Oct-15 8176.55 226 30-Nov-15 7859.23
197 15-Oct-15 8167.79 227 1-Dec-15 7878.10
198 16-Oct-15 8155.31 228 2-Dec-15 7895.83
199 19-Oct-15 8156.77 229 3-Dec-15 7923.77
200 20-Oct-15 8162.98 230 4-Dec-15 7936.80
201 21-Oct-15 8194.65 231 7-Dec-15 7918.20
202 23-Oct-15 8225.84 232 8-Dec-15 7894.26
203 26-Oct-15 8260.62 233 9-Dec-15 7850.33
204 27-Oct-15 8288.62 234 10-Dec-15 7794.09
205 28-Oct-15 8282.18 235 11-Dec-15 7742.29
206 29-Oct-15 8263.90 236 14-Dec-15 7718.69
207 30-Oct-15 8247.32 237 15-Dec-15 7667.02
208 2-Nov-15 8210.38 238 16-Dec-15 7651.15
209 3-Nov-15 8154.56 239 17-Dec-15 7657.10
210 4-Nov-15 8125.76 240 18-Dec-15 7685.05

ANNEXURE IV
Sl.
No.
Dates
in
NSE
Index
10 Days
MA
Sl.
No.
Dates
in
NSE
Index
10 Days
MA
Sl.
No.
Dates
in
NSE
Index
10 Days
MA
1 1-Jan-15 31 13-Feb-15 8718.41 61 30-Mar-15 8603.46
2 2-Jan-15 32 16-Feb-15 8692.90 62 31-Mar-15 8576.88
3 5-Jan-15 33 18-Feb-15 8695.79 63 1-Apr-15 8560.73
4 6-Jan-15 34 19-Feb-15 8694.63 64 6-Apr-15 8534.81
5 7-Jan-15 35 20-Feb-15 8704.02 65 7-Apr-15 8521.44
6 8-Jan-15 36 23-Feb-15 8720.26 66 8-Apr-15 8527.10
7 9-Jan-15 37 24-Feb-15 8736.26 67 9-Apr-15 8537.84
8 12-Jan-15 38 25-Feb-15 8755.11 68 10-Apr-15 8559.75
9 13-Jan-15 39 26-Feb-15 8787.49 69 13-Apr-15 8580.30
10 14-Jan-15 40 27-Feb-15 8805.06 70 15-Apr-15 8612.98
11 15-Jan-15 8283.50 41 28-Feb-15 8810.32 71 16-Apr-15 8657.85
12 16-Jan-15 8298.67 42 2-Mar-15 8827.47 72 17-Apr-15 8694.46
13 19-Jan-15 8320.21 43 3-Mar-15 8839.72 73 20-Apr-15 8711.51
14 20-Jan-15 8334.42 44 4-Mar-15 8854.85 74 21-Apr-15 8725.02
15 21-Jan-15 8359.40 45 5-Mar-15 8877.46 75 22-Apr-15 8705.05
16 22-Jan-15 8419.50 46 9-Mar-15 8880.85 76 23-Apr-15 8676.64
17 23-Jan-15 8474.94 47 10-Mar-15 8884.28 77 24-Apr-15 8654.57
18 27-Jan-15 8529.19 48 11-Mar-15 8883.96 78 27-Apr-15 8619.52
19 28-Jan-15 8587.19 49 12-Mar-15 8876.65 79 28-Apr-15 8575.14
20 29-Jan-15 8642.85 50 13-Mar-15 8872.81 80 29-Apr-15 8516.52
21 30-Jan-15 8702.28 51 16-Mar-15 8884.27 81 30-Apr-15 8459.52
22 2-Feb-15 8759.49 52 17-Mar-15 8858.64 82 4-May-15 8406.27
23 3-Feb-15 8789.33 53 18-Mar-15 8832.16 83 5-May-15 8359.47
24 4-Feb-15 8816.64 54 19-Mar-15 8810.17 84 6-May-15 8331.43
25 5-Feb-15 8838.05 55 20-Mar-15 8774.20 85 7-May-15 8321.48
26 6-Feb-15 8839.39 56 23-Mar-15 8744.05 86 8-May-15 8289.14
27 9-Feb-15 8834.49 57 24-Mar-15 8714.09 87 11-May-15 8254.47
28 10-Feb-15 8810.14 58 25-Mar-15 8690.82 88 12-May-15 8238.22
29 11-Feb-15 8770.81 59 26-Mar-15 8674.83 89 13-May-15 8237.78
30 12-Feb-15 8740.87 60 27-Mar-15 8648.26 90 14-May-15 8234.38

ANNEXURE IV
Sl.
No.
Dates
in
NSE Index
10 Days
MA
Sl.
No.
Dates
in
NSE
Index
10 Days
MA
Sl.
No.
Dates
in
NSE Index
10 Days
MA
91 15-May-15 8230.14 121 26-Jun-15 8172.21 151 7-Aug-15 8489.81
92 18-May-15 8231.72 122 29-Jun-15 8215.62 152 10-Aug-15 8489.07
93 19-May-15 8237.21 123 30-Jun-15 8241.67 153 11-Aug-15 8497.56
94 20-May-15 8238.99 124 1-Jul-15 8272.88 154 12-Aug-15 8515.30
95 21-May-15 8246.60 125 2-Jul-15 8302.09 155 13-Aug-15 8523.31
96 22-May-15 8282.35 126 3-Jul-15 8337.91 156 14-Aug-15 8520.05
97 25-May-15 8312.45 127 6-Jul-15 8361.81 157 17-Aug-15 8514.68
98 26-May-15 8331.94 128 7-Jul-15 8374.49 158 18-Aug-15 8516.66
99 27-May-15 8337.04 129 8-Jul-15 8389.30 159 19-Aug-15 8510.84
100 28-May-15 8349.16 130 9-Jul-15 8393.28 160 20-Aug-15 8502.90
101 29-May-15 8360.48 131 10-Jul-15 8396.14 161 21-Aug-15 8491.42
102 1-Jun-15 8369.16 132 13-Jul-15 8393.31 162 24-Aug-15 8463.88
103 2-Jun-15 8382.39 133 14-Jul-15 8408.33 163 25-Aug-15 8411.78
104 3-Jun-15 8391.05 134 15-Jul-15 8423.76 164 26-Aug-15 8346.47
105 4-Jun-15 8375.03 135 16-Jul-15 8432.47 165 27-Aug-15 8288.43
106 5-Jun-15 8347.10 136 17-Jul-15 8439.89 166 28-Aug-15 8242.14
107 8-Jun-15 8315.76 137 20-Jul-15 8458.25 167 31-Aug-15 8207.28
108 9-Jun-15 8284.38 138 21-Jul-15 8482.02 168 1-Sep-15 8155.15
109 10-Jun-15 8249.32 139 22-Jul-15 8489.62 169 2-Sep-15 8095.36
110 11-Jun-15 8221.46 140 23-Jul-15 8496.93 170 3-Sep-15 8034.22
111 12-Jun-15 8202.62 141 24-Jul-15 8524.84 171 4-Sep-15 7964.56
112 15-Jun-15 8165.90 142 27-Jul-15 8547.08 172 7-Sep-15 7914.36
113 16-Jun-15 8122.83 143 28-Jul-15 8556.57 173 8-Sep-15 7877.35
114 17-Jun-15 8078.97 144 29-Jul-15 8546.62 174 9-Sep-15 7846.58
115 18-Jun-15 8064.15 145 30-Jul-15 8536.84 175 10-Sep-15 7840.64
116 19-Jun-15 8060.00 146 31-Jul-15 8523.92 176 11-Sep-15 7821.39
117 22-Jun-15 8068.20 147 3-Aug-15 8507.17 177 14-Sep-15 7799.40
118 23-Jun-15 8081.70 148 4-Aug-15 8495.84 178 15-Sep-15 7779.58
119 24-Jun-15 8116.79 149 5-Aug-15 8492.10 179 16-Sep-15 7775.52
120 25-Jun-15 8154.32 150 6-Aug-15 8495.62 180 18-Sep-15 7778.54

ANNEXURE IV
Sl.
No.
Dates
in
NSE
Index
10 Days
MA
Sl.
No.
Dates
in
NSE Index
10 Days
MA
Sl.
No.
Dates
in
NSE Index
10 Days
MA
181 21-Sep-15 7797.84 211 5-Nov-15 8186.43 241 21-Dec-15 7714.80
182 22-Sep-15 7808.65 212 6-Nov-15 8163.63 242 22-Dec-15 7707.71
183 23-Sep-15 7841.55 213 9-Nov-15 8128.46 243 23-Dec-15 7716.80
184 24-Sep-15 7856.51 214 10-Nov-15 8073.92 244 24-Dec-15 7730.30
185 28-Sep-15 7859.77 215 11-Nov-15 8038.65 245 28-Dec-15 7754.84
186 29-Sep-15 7876.14 216 13-Nov-15 8003.64 246 29-Dec-15 7771.20
187 30-Sep-15 7865.33 217 16-Nov-15 7962.34 247 30-Dec-15 7808.30
188 1-Oct-15 7876.65 218 17-Nov-15 7923.28 248 31-Dec-15 7836.25
189 5-Oct-15 7889.12 219 18-Nov-15 7902.70
190 6-Oct-15 7900.94 220 19-Nov-15 7876.38
191 7-Oct-15 7922.24 221 20-Nov-15 7844.74
192 8-Oct-15 7945.71 222 23-Nov-15 7825.89
193 9-Oct-15 7963.91 223 24-Nov-15 7817.19
194 12-Oct-15 8008.81 224 26-Nov-15 7822.06
195 13-Oct-15 8048.12 225 27-Nov-15 7818.02
196 14-Oct-15 8071.03 226 30-Nov-15 7825.20
197 15-Oct-15 8108.70 227 1-Dec-15 7842.58
198 16-Oct-15 8129.71 228 2-Dec-15 7865.10
199 19-Oct-15 8149.87 229 3-Dec-15 7877.89
200 20-Oct-15 8175.62 230 4-Dec-15 7885.81
201 21-Oct-15 8185.60 231 7-Dec-15 7888.72
202 23-Oct-15 8196.82 232 8-Dec-15 7886.18
203 26-Oct-15 8207.97 233 9-Dec-15 7873.08
204 27-Oct-15 8222.70 234 10-Dec-15 7858.93
205 28-Oct-15 8222.58 235 11-Dec-15 7839.55
206 29-Oct-15 8229.28 236 14-Dec-15 7818.45
207 30-Oct-15 8236.58 237 15-Dec-15 7780.64
208 2-Nov-15 8235.50 238 16-Dec-15 7750.74
209 3-Nov-15 8221.59 239 17-Dec-15 7725.60
210 4-Nov-15 8203.97 240 18-Dec-15 7713.67

ANNEXURE V
50 DAYS MOVING AVERAGES VALUE IN NSE ON 2015
Sl.
No.
Dates
in
NSE
Index
50 Days
MA
Sl.
No.
Dates
in
NSE Index
50 Days
MA
Sl.
No.
Dates
in
NSE Index
50 Days
MA
1 1-Jan-15 31 13-Feb-15 61 30-Mar-15 8743.74
2 2-Jan-15 32 16-Feb-15 62 31-Mar-15 8743.07
3 5-Jan-15 33 18-Feb-15 63 1-Apr-15 8743.54
4 6-Jan-15 34 19-Feb-15 64 6-Apr-15 8742.22
5 7-Jan-15 35 20-Feb-15 65 7-Apr-15 8743.03
6 8-Jan-15 36 23-Feb-15 66 8-Apr-15 8742.33
7 9-Jan-15 37 24-Feb-15 67 9-Apr-15 8741.39
8 12-Jan-15 38 25-Feb-15 68 10-Apr-15 8739.95
9 13-Jan-15 39 26-Feb-15 69 13-Apr-15 8738.01
10 14-Jan-15 40 27-Feb-15 70 15-Apr-15 8735.99
11 15-Jan-15 41 28-Feb-15 71 16-Apr-15 8734.86
12 16-Jan-15 42 2-Mar-15 72 17-Apr-15 8730.07
13 19-Jan-15 43 3-Mar-15 73 20-Apr-15 8727.98
14 20-Jan-15 44 4-Mar-15 74 21-Apr-15 8723.89
15 21-Jan-15 45 5-Mar-15 75 22-Apr-15 8716.43
16 22-Jan-15 46 9-Mar-15 76 23-Apr-15 8709.78
17 23-Jan-15 47 10-Mar-15 77 24-Apr-15 8705.40
18 27-Jan-15 48 11-Mar-15 78 27-Apr-15 8701.83
19 28-Jan-15 49 12-Mar-15 79 28-Apr-15 8698.88
20 29-Jan-15 50 13-Mar-15 80 29-Apr-15 8691.12
21 30-Jan-15 51 16-Mar-15 8679.75 81 30-Apr-15 8683.08
22 2-Feb-15 52 17-Mar-15 8687.43 82 4-May-15 8672.74
23 3-Feb-15 53 18-Mar-15 8695.44 83 5-May-15 8660.71
24 4-Feb-15 54 19-Mar-15 8702.14 84 6-May-15 8651.25
25 5-Feb-15 55 20-Mar-15 8710.62 85 7-May-15 8639.92
26 6-Feb-15 56 23-Mar-15 8720.81 86 8-May-15 8623.55
27 9-Feb-15 57 24-Mar-15 8728.81 87 11-May-15 8609.05
28 10-Feb-15 58 25-Mar-15 8733.84 88 12-May-15 8598.45
29 11-Feb-15 59 26-Mar-15 8739.39 89 13-May-15 8588.94
30 12-Feb-15 60 27-Mar-15 8741.97 90 14-May-15 8576.99

ANNEXURE V
Sl.
No.
Dates
in
NSE
Index
50 Days
MA
Sl.
No.
Dates
in
NSE
Index
50 Days
MA
Sl.
No.
Dates
in
NSE Index
50 Days
MA
91 15-May-15 8567.05 121 26-Jun-15 8284.99 151 7-Aug-15 8357.12
92 18-May-15 8553.59 122 29-Jun-15 8277.73 152 10-Aug-15 8362.20
93 19-May-15 8540.21 123 30-Jun-15 8268.71 153 11-Aug-15 8365.39
94 20-May-15 8528.08 124 1-Jul-15 8262.66 154 12-Aug-15 8367.50
95 21-May-15 8513.75 125 2-Jul-15 8261.87 155 13-Aug-15 8371.77
96 22-May-15 8503.85 126 3-Jul-15 8263.30 156 14-Aug-15 8376.35
97 25-May-15 8494.68 127 6-Jul-15 8262.54 157 17-Aug-15 8382.02
98 26-May-15 8488.05 128 7-Jul-15 8262.14 158 18-Aug-15 8390.14
99 27-May-15 8481.01 129 8-Jul-15 8266.04 159 19-Aug-15 8399.73
100 28-May-15 8472.26 130 9-Jul-15 8270.52 160 20-Aug-15 8408.61
101 29-May-15 8462.29 131 10-Jul-15 8272.32 161 21-Aug-15 8414.88
102 1-Jun-15 8455.70 132 13-Jul-15 8275.14 162 24-Aug-15 8421.79
103 2-Jun-15 8450.26 133 14-Jul-15 8278.49 163 25-Aug-15 8423.18
104 3-Jun-15 8444.26 134 15-Jul-15 8281.13 164 26-Aug-15 8421.00
105 4-Jun-15 8433.92 135 16-Jul-15 8284.07 165 27-Aug-15 8416.62
106 5-Jun-15 8424.46 136 17-Jul-15 8293.45 166 28-Aug-15 8412.78
107 8-Jun-15 8415.01 137 20-Jul-15 8303.29 167 31-Aug-15 8409.83
108 9-Jun-15 8406.76 138 21-Jul-15 8310.91 168 1-Sep-15 8404.83
109 10-Jun-15 8395.91 139 22-Jul-15 8316.41 169 2-Sep-15 8395.44
110 11-Jun-15 8386.90 140 23-Jul-15 8323.03 170 3-Sep-15 8384.59
111 12-Jun-15 8382.12 141 24-Jul-15 8331.26 171 4-Sep-15 8373.35
112 15-Jun-15 8373.50 142 27-Jul-15 8338.21 172 7-Sep-15 8361.54
113 16-Jun-15 8362.68 143 28-Jul-15 8342.36 173 8-Sep-15 8350.32
114 17-Jun-15 8353.09 144 29-Jul-15 8342.65 174 9-Sep-15 8335.74
115 18-Jun-15 8342.46 145 30-Jul-15 8342.11 175 10-Sep-15 8324.34
116 19-Jun-15 8331.04 146 31-Jul-15 8341.76 176 11-Sep-15 8309.48
117 22-Jun-15 8321.09 147 3-Aug-15 8342.24 177 14-Sep-15 8297.35
118 23-Jun-15 8311.15 148 4-Aug-15 8343.69 178 15-Sep-15 8285.85
119 24-Jun-15 8303.21 149 5-Aug-15 8347.43 179 16-Sep-15 8272.69
120 25-Jun-15 8295.16 150 6-Aug-15 8352.32 180 18-Sep-15 8261.64

ANNEXURE V
Sl.
No.
Dates
in
NSE
Index
50 Days
MA
Sl.
No.
Dates
in
NSE
Index
50
Days
MA
Sl.
No.
Dates
in
NSE Index
50
Days
MA
181 21-Sep-15 8253.69 211 5-Nov-15 8011.33 241 21-Dec-15 7964.06
182 22-Sep-15 8244.61 212 6-Nov-15 8005.83 242 22-Dec-15 7956.05
183 23-Sep-15 8236.96 213 9-Nov-15 8003.85 243 23-Dec-15 7948.70
184 24-Sep-15 8222.29 214 10-Nov-15 8001.70 244 24-Dec-15 7941.58
185 28-Sep-15 8209.79 215 11-Nov-15 8001.95 245 28-Dec-15 7934.73
186 29-Sep-15 8196.73 216 13-Nov-15 8000.29 246 29-Dec-15 7929.55
187 30-Sep-15 8178.77 217 16-Nov-15 7994.47 247 30-Dec-15 7926.09
188 1-Oct-15 8164.78 218 17-Nov-15 7988.94 248 31-Dec-15 7922.17
189 5-Oct-15 8152.59 219 18-Nov-15 7987.76
190 6-Oct-15 8142.44 220 19-Nov-15 7987.09
191 7-Oct-15 8133.17 221 20-Nov-15 7987.37
192 8-Oct-15 8124.33 222 23-Nov-15 7988.14
193 9-Oct-15 8118.43 223 24-Nov-15 7991.81
194 12-Oct-15 8114.73 224 26-Nov-15 7996.80
195 13-Oct-15 8112.05 225 27-Nov-15 7997.42
196 14-Oct-15 8106.15 226 30-Nov-15 8001.06
197 15-Oct-15 8099.08 227 1-Dec-15 8003.10
198 16-Oct-15 8091.55 228 2-Dec-15 8006.05
199 19-Oct-15 8084.14 229 3-Dec-15 8008.23
200 20-Oct-15 8078.44 230 4-Dec-15 8008.54
201 21-Oct-15 8072.33 231 7-Dec-15 8005.54
202 23-Oct-15 8065.88 232 8-Dec-15 8003.65
203 26-Oct-15 8060.51 233 9-Dec-15 7998.12
204 27-Oct-15 8056.21 234 10-Dec-15 7997.28
205 28-Oct-15 8051.91 235 11-Dec-15 7993.38
206 29-Oct-15 8047.99 236 14-Dec-15 7989.52
207 30-Oct-15 8043.46 237 15-Dec-15 7986.17
208 2-Nov-15 8035.32 238 16-Dec-15 7980.86
209 3-Nov-15 8026.29 239 17-Dec-15 7975.53
210 4-Nov-15 8018.66 240 18-Dec-15 7971.09

ANNEXURE VI
Sl.
No.
Dates
in
NSE Index
200
Days
MA
Sl.
No.
Dates
in
NSE Index
200
Days
MA
Sl.
No.
Dates
in
NSE Index
200
Days
MA
1 1-Jan-15 31 13-Feb-15 61 30-Mar-15
2 2-Jan-15 32 16-Feb-15 62 31-Mar-15
3 5-Jan-15 33 18-Feb-15 63 1-Apr-15
4 6-Jan-15 34 19-Feb-15 64 6-Apr-15
5 7-Jan-15 35 20-Feb-15 65 7-Apr-15
6 8-Jan-15 36 23-Feb-15 66 8-Apr-15
7 9-Jan-15 37 24-Feb-15 67 9-Apr-15
8 12-Jan-15 38 25-Feb-15 68 10-Apr-15
9 13-Jan-15 39 26-Feb-15 69 13-Apr-15
10 14-Jan-15 40 27-Feb-15 70 15-Apr-15
11 15-Jan-15 41 28-Feb-15 71 16-Apr-15
12 16-Jan-15 42 2-Mar-15 72 17-Apr-15
13 19-Jan-15 43 3-Mar-15 73 20-Apr-15
14 20-Jan-15 44 4-Mar-15 74 21-Apr-15
15 21-Jan-15 45 5-Mar-15 75 22-Apr-15
16 22-Jan-15 46 9-Mar-15 76 23-Apr-15
17 23-Jan-15 47 10-Mar-15 77 24-Apr-15
18 27-Jan-15 48 11-Mar-15 78 27-Apr-15
19 28-Jan-15 49 12-Mar-15 79 28-Apr-15
20 29-Jan-15 50 13-Mar-15 80 29-Apr-15
21 30-Jan-15 51 16-Mar-15 81 30-Apr-15
22 2-Feb-15 52 17-Mar-15 82 4-May-15
23 3-Feb-15 53 18-Mar-15 83 5-May-15
24 4-Feb-15 54 19-Mar-15 84 6-May-15
25 5-Feb-15 55 20-Mar-15 85 7-May-15
26 6-Feb-15 56 23-Mar-15 86 8-May-15
27 9-Feb-15 57 24-Mar-15 87 11-May-15
28 10-Feb-15 58 25-Mar-15 88 12-May-15
29 11-Feb-15 59 26-Mar-15 89 13-May-15
30 12-Feb-15 60 27-Mar-15 90 14-May-15

ANNEXURE VI
Sl.
No.
Dates
in
NSE Index
200
Days
MA
Sl.
No.
Dates
in
NSE
Index
200
Days
MA
Sl.
No.
Dates
in
NSE Index
200
Days
MA
91 15-May-15 121 26-Jun-15 151 7-Aug-15
92 18-May-15 122 29-Jun-15 152 10-Aug-15
93 19-May-15 123 30-Jun-15 153 11-Aug-15
94 20-May-15 124 1-Jul-15 154 12-Aug-15
95 21-May-15 125 2-Jul-15 155 13-Aug-15
96 22-May-15 126 3-Jul-15 156 14-Aug-15
97 25-May-15 127 6-Jul-15 157 17-Aug-15
98 26-May-15 128 7-Jul-15 158 18-Aug-15
99 27-May-15 129 8-Jul-15 159 19-Aug-15
100 28-May-15 130 9-Jul-15 160 20-Aug-15
101 29-May-15 131 10-Jul-15 161 21-Aug-15
102 1-Jun-15 132 13-Jul-15 162 24-Aug-15
103 2-Jun-15 133 14-Jul-15 163 25-Aug-15
104 3-Jun-15 134 15-Jul-15 164 26-Aug-15
105 4-Jun-15 135 16-Jul-15 165 27-Aug-15
106 5-Jun-15 136 17-Jul-15 166 28-Aug-15
107 8-Jun-15 137 20-Jul-15 167 31-Aug-15
108 9-Jun-15 138 21-Jul-15 168 1-Sep-15
109 10-Jun-15 139 22-Jul-15 169 2-Sep-15
110 11-Jun-15 140 23-Jul-15 170 3-Sep-15
111 12-Jun-15 141 24-Jul-15 171 4-Sep-15
112 15-Jun-15 142 27-Jul-15 172 7-Sep-15
113 16-Jun-15 143 28-Jul-15 173 8-Sep-15
114 17-Jun-15 144 29-Jul-15 174 9-Sep-15
115 18-Jun-15 145 30-Jul-15 175 10-Sep-15
116 19-Jun-15 146 31-Jul-15 176 11-Sep-15
117 22-Jun-15 147 3-Aug-15 177 14-Sep-15
118 23-Jun-15 148 4-Aug-15 178 15-Sep-15
119 24-Jun-15 149 5-Aug-15 179 16-Sep-15
120 25-Jun-15 150 6-Aug-15 180 18-Sep-15

ANNEXURE VI
Sl.
No.
Dates
in
NSE
Index
200
Days
MA
Sl.
No.
Dates
in
NSE
Index
200
Days
MA
Sl.
No.
Dates
in
NSE
Index
200
Days
MA
181 21-Sep-15 211 5-Nov-15 8388.02 241 21-Dec-15 8248.88
182 22-Sep-15 212 6-Nov-15 8386.05 242 22-Dec-15 8243.05
183 23-Sep-15 213 9-Nov-15 8383.31 243 23-Dec-15 8237.42
184 24-Sep-15 214 10-Nov-15 8379.50 244 24-Dec-15 8231.76
185 28-Sep-15 215 11-Nov-15 8376.02 245 28-Dec-15 8225.66
186 29-Sep-15 216 13-Nov-15 8371.61 246 29-Dec-15 8220.33
187 30-Sep-15 217 16-Nov-15 8366.69 247 30-Dec-15 8215.52
188 1-Oct-15 218 17-Nov-15 8361.22 248 31-Dec-15 8211.36
189 5-Oct-15 219 18-Nov-15 8356.11
190 6-Oct-15 220 19-Nov-15 8350.71
191 7-Oct-15 221 20-Nov-15 8345.14
192 8-Oct-15 222 23-Nov-15 8339.37
193 9-Oct-15 223 24-Nov-15 8334.70
194 12-Oct-15 224 26-Nov-15 8329.77
195 13-Oct-15 225 27-Nov-15 8325.01
196 14-Oct-15 226 30-Nov-15 8320.90
197 15-Oct-15 227 1-Dec-15 8317.10
198 16-Oct-15 228 2-Dec-15 8313.97
199 19-Oct-15 229 3-Dec-15 8311.46
200 20-Oct-15 230 4-Dec-15 8307.96
201 21-Oct-15 8392.87 231 7-Dec-15 8303.66
202 23-Oct-15 8392.80 232 8-Dec-15 8299.03
203 26-Oct-15 8392.90 233 9-Dec-15 8293.57
204 27-Oct-15 8392.53 234 10-Dec-15 8287.99
205 28-Oct-15 8392.05 235 11-Dec-15 8281.79
206 29-Oct-15 8392.40 236 14-Dec-15 8275.81
207 30-Oct-15 8392.32 237 15-Dec-15 8269.32
208 2-Nov-15 8391.52 238 16-Dec-15 8263.75
209 3-Nov-15 8390.33 239 17-Dec-15 8258.37
210 4-Nov-15 8389.03 240 18-Dec-15 8253.39

ANNEXURE VII
Sl.
No
.
Dates
in
NSE Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE Index
Open
Price in
NSE
Index
1 1-Jan-16 7897.80 31 15-Feb-16 7057.35 61 31-Mar-16 7727.65
2 4-Jan-16 7924.55 32 16-Feb-16 7201.25 62 1-Apr-16 7718.05
3 5-Jan-16 7828.40 33 17-Feb-16 7058.85 63 4-Apr-16 7733.15
4 6-Jan-16 7788.05 34 18-Feb-16 7177.40 64 5-Apr-16 7736.30
5 7-Jan-16 7673.35 35 19-Feb-16 7170.55 65 6-Apr-16 7636.05
6 8-Jan-16 7611.65 36 22-Feb-16 7208.85 66 7-Apr-16 7630.40
7 11-Jan-16 7527.45 37 23-Feb-16 7240.30 67 8-Apr-16 7542.35
8 12-Jan-16 7587.20 38 24-Feb-16 7075.00 68 11-Apr-16 7577.80
9 13-Jan-16 7557.90 39 25-Feb-16 7029.85 69 12-Apr-16 7669.25
10 14-Jan-16 7467.40 40 26-Feb-16 7039.30 70 13-Apr-16 7777.15
11 15-Jan-16 7561.65 41 29-Feb-16 7050.45 71 18-Apr-16 7908.15
12 18-Jan-16 7420.35 42 1-Mar-16 7038.25 72 20-Apr-16 7950.05
13 19-Jan-16 7381.80 43 2-Mar-16 7321.70 73 21-Apr-16 7953.65
14 20-Jan-16 7357.00 44 3-Mar-16 7429.55 74 22-Apr-16 7891.80
15 21-Jan-16 7376.65 45 4-Mar-16 7505.40 75 25-Apr-16 7894.80
16 22-Jan-16 7355.70 46 8-Mar-16 7486.40 76 26-Apr-16 7828.15
17 25-Jan-16 7468.75 47 9-Mar-16 7436.10 77 27-Apr-16 7942.00
18 27-Jan-16 7469.60 48 10-Mar-16 7545.35 78 28-Apr-16 7967.40
19 28-Jan-16 7426.50 49 11-Mar-16 7484.85 79 29-Apr-16 7844.25
20 29-Jan-16 7413.35 50 14-Mar-16 7542.60 80 2-May-16 7822.70
21 1-Feb-16 7589.50 51 15-Mar-16 7535.85 81 3-May-16 7824.80
22 2-Feb-16 7566.65 52 16-Mar-16 7457.05 82 4-May-16 7724.15
23 3-Feb-16 7392.45 53 17-Mar-16 7557.40 83 5-May-16 7731.00
24 4-Feb-16 7411.45 54 18-Mar-16 7534.65 84 6-May-16 7717.65
25 5-Feb-16 7418.25 55 21-Mar-16 7619.20 85 9-May-16 7755.25
26 8-Feb-16 7489.70 56 22-Mar-16 7695.55 86 10-May-16 7873.55
27 9-Feb-16 7303.95 57 23-Mar-16 7717.45 87 11-May-16 7804.65
28 10-Feb-16 7264.30 58 28-Mar-16 7741.00 88 12-May-16 7871.45
29 11-Feb-16 7203.60 59 29-Mar-16 7606.55 89 13-May-16 7881.00
30 12-Feb-16 7023.65 60 30-Mar-16 7651.10 90 16-May-16 7831.20

ANNEXURE VII
Sl.
No.
Dates
in
NSE Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE Index
Open
Price in
NSE
Index
91 17-May-16 7896.85 121 28-Jun-16 8096.05 151 10-Aug-16 8686.70
92 18-May-16 7846.75 122 29-Jun-16 8173.10 152 11-Aug-16 8572.80
93 19-May-16 7875.50 123 30-Jun-16 8260.25 153 12-Aug-16 8605.45
94 20-May-16 7792.20 124 1-Jul-16 8313.05 154 16-Aug-16 8670.25
95 23-May-16 7813.95 125 4-Jul-16 8376.75 155 17-Aug-16 8639.80
96 24-May-16 7738.05 126 5-Jul-16 8379.30 156 18-Aug-16 8648.85
97 25-May-16 7811.80 127 7-Jul-16 8342.00 157 19-Aug-16 8694.30
98 26-May-16 7974.45 128 8-Jul-16 8350.00 158 22-Aug-16 8667.00
99 27-May-16 8081.95 129 11-Jul-16 8413.35 159 23-Aug-16 8628.35
100 30-May-16 8166.50 130 12-Jul-16 8502.60 160 24-Aug-16 8648.50
101 31-May-16 8209.85 131 13-Jul-16 8540.45 161 25-Aug-16 8668.85
102 1-Jun-16 8179.20 132 14-Jul-16 8515.75 162 26-Aug-16 8614.35
103 2-Jun-16 8156.90 133 15-Jul-16 8565.45 163 29-Aug-16 8583.75
104 3-Jun-16 8246.20 134 18-Jul-16 8564.05 164 30-Aug-16 8646.75
105 6-Jun-16 8228.75 135 19-Jul-16 8514.30 165 31-Aug-16 8754.05
106 7-Jun-16 8235.55 136 20-Jul-16 8515.45 166 1-Sep-16 8793.60
107 8-Jun-16 8285.50 137 21-Jul-16 8582.70 167 2-Sep-16 8796.35
108 9-Jun-16 8273.35 138 22-Jul-16 8519.65 168 6-Sep-16 8852.70
109 10-Jun-16 8180.25 139 25-Jul-16 8519.95 169 7-Sep-16 8968.70
110 13-Jun-16 8102.25 140 26-Jul-16 8633.75 170 8-Sep-16 8915.50
111 14-Jun-16 8134.40 141 27-Jul-16 8599.40 171 9-Sep-16 8934.30
112 15-Jun-16 8139.40 142 28-Jul-16 8636.95 172 12-Sep-16 8732.95
113 16-Jun-16 8180.65 143 29-Jul-16 8668.30 173 14-Sep-16 8710.65
114 17-Jun-16 8176.65 144 1-Aug-16 8654.30 174 15-Sep-16 8743.85
115 20-Jun-16 8115.75 145 2-Aug-16 8647.45 175 16-Sep-16 8780.85
116 21-Jun-16 8255.40 146 3-Aug-16 8635.20 176 19-Sep-16 8788.45
117 22-Jun-16 8213.65 147 4-Aug-16 8599.95 177 20-Sep-16 8816.10
118 23-Jun-16 8201.15 148 5-Aug-16 8600.20 178 21-Sep-16 8790.30
119 24-Jun-16 8029.10 149 8-Aug-16 8712.85 179 22-Sep-16 8873.35
120 27-Jun-16 8039.35 150 9-Aug-16 8727.80 180 23-Sep-16 8880.75

ANNEXURE VII
Sl.
No.
Dates
in
NSE Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE Index
Open
Price in
NSE
Index
Sl.
No.
Dates
in
NSE Index
Open
Price in
NSE
Index
181 26-Sep-16 8807.90 211 9-Nov-16 8067.50 241 22-Dec-16 8043.85
182 27-Sep-16 8748.90 212 10-Nov-16 8555.60 242 23-Dec-16 7972.50
183 28-Sep-16 8711.20 213 11-Nov-16 8456.65 243 26-Dec-16 7965.10
184 29-Sep-16 8792.70 214 15-Nov-16 8284.85 244 27-Dec-16 7915.05
185 30-Sep-16 8581.50 215 16-Nov-16 8205.65 245 28-Dec-16 8047.55
186 3-Oct-16 8666.15 216 17-Nov-16 8105.10 246 29-Dec-16 8030.60
187 4-Oct-16 8770.00 217 18-Nov-16 8097.55 247 30-Dec-16 8119.65
188 5-Oct-16 8806.35 218 21-Nov-16 8102.10
189 6-Oct-16 8768.70 219 22-Nov-16 7989.15
190 7-Oct-16 8721.70 220 23-Nov-16 8051.20
191 10-Oct-16 8735.35 221 24-Nov-16 8011.80
192 13-Oct-16 8671.50 222 25-Nov-16 8007.95
193 14-Oct-16 8594.00 223 28-Nov-16 8080.65
194 17-Oct-16 8612.95 224 29-Nov-16 8131.55
195 18-Oct-16 8556.05 225 30-Nov-16 8172.15
196 19-Oct-16 8697.50 226 1-Dec-16 8244.00
197 20-Oct-16 8693.35 227 2-Dec-16 8153.55
198 21-Oct-16 8708.60 228 5-Dec-16 8088.75
199 24-Oct-16 8709.85 229 6-Dec-16 8153.15
200 25-Oct-16 8721.70 230 7-Dec-16 8168.40
201 26-Oct-16 8657.30 231 8-Dec-16 8152.10
202 27-Oct-16 8607.10 232 9-Dec-16 8271.70
203 28-Oct-16 8625.00 233 12-Dec-16 8230.65
204 30-Oct-16 8672.35 234 13-Dec-16 8196.15
205 1-Nov-16 8653.15 235 14-Dec-16 8229.35
206 2-Nov-16 8542.80 236 15-Dec-16 8128.40
207 3-Nov-16 8499.85 237 16-Dec-16 8178.20
208 4-Nov-16 8503.60 238 19-Dec-16 8126.00
209 7-Nov-16 8535.75 239 20-Dec-16 8110.60
210 8-Nov-16 8540.00 240 21-Dec-16 8105.85

ANNEXURE VIII
Sl.
No.
Dates
in
NSE Index
3 Day
MA
Sl.
No.
Dates
in
NSE Index
3 Day
MA
Sl.
No.
Dates
in
NSE Index
3 Day
MA
1 1-Jan-16 31 15-Feb-16 7163.85 61 31-Mar-16 7666.22
2 4-Jan-16 32 16-Feb-16 7094.87 62 1-Apr-16 7661.77
3 5-Jan-16 33 17-Feb-16 7094.08 63 4-Apr-16 7698.93
4 6-Jan-16 7883.58 34 18-Feb-16 7105.82 64 5-Apr-16 7726.28
5 7-Jan-16 7847.00 35 19-Feb-16 7145.83 65 6-Apr-16 7729.17
6 8-Jan-16 7763.27 36 22-Feb-16 7135.60 66 7-Apr-16 7701.83
7 11-Jan-16 7691.02 37 23-Feb-16 7185.60 67 8-Apr-16 7667.58
8 12-Jan-16 7604.15 38 24-Feb-16 7206.57 68 11-Apr-16 7602.93
9 13-Jan-16 7575.43 39 25-Feb-16 7174.72 69 12-Apr-16 7583.52
10 14-Jan-16 7557.52 40 26-Feb-16 7115.05 70 13-Apr-16 7596.47
11 15-Jan-16 7537.50 41 29-Feb-16 7048.05 71 18-Apr-16 7674.73
12 18-Jan-16 7528.98 42 1-Mar-16 7039.87 72 20-Apr-16 7784.85
13 19-Jan-16 7483.13 43 2-Mar-16 7042.67 73 21-Apr-16 7878.45
14 20-Jan-16 7454.60 44 3-Mar-16 7136.80 74 22-Apr-16 7937.28
15 21-Jan-16 7386.38 45 4-Mar-16 7263.17 75 25-Apr-16 7931.83
16 22-Jan-16 7371.82 46 8-Mar-16 7418.88 76 26-Apr-16 7913.42
17 25-Jan-16 7363.12 47 9-Mar-16 7473.78 77 27-Apr-16 7871.58
18 27-Jan-16 7400.37 48 10-Mar-16 7475.97 78 28-Apr-16 7888.32
19 28-Jan-16 7431.35 49 11-Mar-16 7489.28 79 29-Apr-16 7912.52
20 29-Jan-16 7454.95 50 14-Mar-16 7488.77 80 2-May-16 7917.88
21 1-Feb-16 7436.48 51 15-Mar-16 7524.27 81 3-May-16 7878.12
22 2-Feb-16 7476.45 52 16-Mar-16 7521.10 82 4-May-16 7830.58
23 3-Feb-16 7523.17 53 17-Mar-16 7511.83 83 5-May-16 7790.55
24 4-Feb-16 7516.20 54 18-Mar-16 7516.77 84 6-May-16 7759.98
25 5-Feb-16 7456.85 55 21-Mar-16 7516.37 85 9-May-16 7724.27
26 8-Feb-16 7407.38 56 22-Mar-16 7570.42 86 10-May-16 7734.63
27 9-Feb-16 7439.80 57 23-Mar-16 7616.47 87 11-May-16 7782.15
28 10-Feb-16 7403.97 58 28-Mar-16 7677.40 88 12-May-16 7811.15
29 11-Feb-16 7352.65 59 29-Mar-16 7718.00 89 13-May-16 7849.88
30 12-Feb-16 7257.28 60 30-Mar-16 7688.33 90 16-May-16 7852.37

ANNEXURE VIII
Sl.
No.
Dates
in
NSE Index
3 Day
MA
Sl.
No.
Dates
in
NSE Index
3 Day
MA
Sl.
No.
Dates
in
NSE Index
3 Day
MA
91 17-May-16 7861.22 121 17-May-16 8089.87 151 17-May-16 8680.28
92 18-May-16 7869.68 122 18-May-16 8054.83 152 18-May-16 8709.12
93 19-May-16 7858.27 123 19-May-16 8102.83 153 19-May-16 8662.43
94 20-May-16 7873.03 124 20-May-16 8176.47 154 20-May-16 8621.65
95 23-May-16 7838.15 125 23-May-16 8248.80 155 23-May-16 8616.17
96 24-May-16 7827.22 126 24-May-16 8316.68 156 24-May-16 8638.50
97 25-May-16 7781.40 127 25-May-16 8356.37 157 25-May-16 8652.97
98 26-May-16 7787.93 128 26-May-16 8366.02 158 26-May-16 8660.98
99 27-May-16 7841.43 129 27-May-16 8357.10 159 27-May-16 8670.05
100 30-May-16 7956.07 130 30-May-16 8368.45 160 30-May-16 8663.22
101 31-May-16 8074.30 131 31-May-16 8421.98 161 31-May-16 8647.95
102 1-Jun-16 8152.77 132 1-Jun-16 8485.47 162 1-Jun-16 8648.57
103 2-Jun-16 8185.18 133 2-Jun-16 8519.60 163 2-Jun-16 8643.90
104 3-Jun-16 8181.98 134 3-Jun-16 8540.55 164 3-Jun-16 8622.32
105 6-Jun-16 8194.10 135 6-Jun-16 8548.42 165 6-Jun-16 8614.95
106 7-Jun-16 8210.62 136 7-Jun-16 8547.93 166 7-Jun-16 8661.52
107 8-Jun-16 8236.83 137 8-Jun-16 8531.27 167 8-Jun-16 8731.47
108 9-Jun-16 8249.93 138 9-Jun-16 8537.48 168 9-Jun-16 8781.33
109 10-Jun-16 8264.80 139 10-Jun-16 8539.27 169 10-Jun-16 8814.22
110 13-Jun-16 8246.37 140 13-Jun-16 8540.77 170 13-Jun-16 8872.58
111 14-Jun-16 8185.28 141 14-Jun-16 8557.78 171 14-Jun-16 8912.30
112 15-Jun-16 8138.97 142 15-Jun-16 8584.37 172 15-Jun-16 8939.50
113 16-Jun-16 8125.35 143 16-Jun-16 8623.37 173 16-Jun-16 8860.92
114 17-Jun-16 8151.48 144 17-Jun-16 8634.88 174 17-Jun-16 8792.63
115 20-Jun-16 8165.57 145 20-Jun-16 8653.18 175 20-Jun-16 8729.15
116 21-Jun-16 8157.68 146 21-Jun-16 8656.68 176 21-Jun-16 8745.12
117 22-Jun-16 8182.60 147 22-Jun-16 8645.65 177 22-Jun-16 8771.05
118 23-Jun-16 8194.93 148 23-Jun-16 8627.53 178 23-Jun-16 8795.13
119 24-Jun-16 8223.40 149 24-Jun-16 8611.78 179 24-Jun-16 8798.28
120 27-Jun-16 8147.97 150 27-Jun-16 8637.67 180 27-Jun-16 8826.58

ANNEXURE II Continue
Sl.
No.
Dates
in
NSE Index
3 Day
MA
Sl.
No.
Dates
in
NSE Index
3 Day
MA
Sl.
No.
Dates
in
NSE Index
3 Day
MA
181 26-Sep-16 8848.13 211 9-Nov-16 8526.45 241 22-Dec-16 8114.15
182 27-Sep-16 8854.00 212 10-Nov-16 8381.08 242 23-Dec-16 8086.77
183 28-Sep-16 8812.52 213 11-Nov-16 8387.70 243 26-Dec-16 8040.73
184 29-Sep-16 8756.00 214 15-Nov-16 8359.92 244 27-Dec-16 7993.82
185 30-Sep-16 8750.93 215 16-Nov-16 8432.37 245 28-Dec-16 7950.88
186 3-Oct-16 8695.13 216 17-Nov-16 8315.72 246 29-Dec-16 7975.90
187 4-Oct-16 8680.12 217 18-Nov-16 8198.53 247 30-Dec-16 7997.73
188 5-Oct-16 8672.55 218 21-Nov-16 8136.10
189 6-Oct-16 8747.50 219 22-Nov-16 8101.58
190 7-Oct-16 8781.68 220 23-Nov-16 8062.93
191 10-Oct-16 8765.58 221 24-Nov-16 8047.48
192 13-Oct-16 8741.92 222 25-Nov-16 8017.38
193 14-Oct-16 8709.52 223 28-Nov-16 8023.65
194 17-Oct-16 8666.95 224 29-Nov-16 8033.47
195 18-Oct-16 8626.15 225 30-Nov-16 8073.38
196 19-Oct-16 8587.67 226 1-Dec-16 8128.12
197 20-Oct-16 8622.17 227 2-Dec-16 8182.57
198 21-Oct-16 8648.97 228 5-Dec-16 8189.90
199 24-Oct-16 8699.82 229 6-Dec-16 8162.10
200 25-Oct-16 8703.93 230 7-Dec-16 8131.82
201 26-Oct-16 8713.38 231 8-Dec-16 8136.77
202 27-Oct-16 8696.28 232 9-Dec-16 8157.88
203 28-Oct-16 8662.03 233 12-Dec-16 8197.40
204 30-Oct-16 8629.80 234 13-Dec-16 8218.15
205 1-Nov-16 8634.82 235 14-Dec-16 8232.83
206 2-Nov-16 8650.17 236 15-Dec-16 8218.72
207 3-Nov-16 8622.77 237 16-Dec-16 8184.63
208 4-Nov-16 8565.27 238 19-Dec-16 8178.65
209 7-Nov-16 8515.42 239 20-Dec-16 8144.20
210 8-Nov-16 8513.07 240 21-Dec-16 8138.27

ANNEXURE II
Sl.
No.
Dates
in
NSE Index
5 Day
MA
Sl.
No.
Dates
in
NSE Index
5 Day
MA
Sl.
No.
Dates
in
NSE Index
5 Day
MA
1 1-Jan-16 31 15-Feb-16 7257.04 61 31-Mar-16 7682.33
2 4-Jan-16 32 16-Feb-16 7170.57 62 1-Apr-16 7688.75
3 5-Jan-16 33 17-Feb-16 7150.03 63 4-Apr-16 7688.87
4 6-Jan-16 34 18-Feb-16 7108.94 64 5-Apr-16 7687.30
5 7-Jan-16 35 19-Feb-16 7103.70 65 6-Apr-16 7713.25
6 8-Jan-16 7822.43 36 22-Feb-16 7133.08 66 7-Apr-16 7710.24
7 11-Jan-16 7765.20 37 23-Feb-16 7163.38 67 8-Apr-16 7690.79
8 12-Jan-16 7685.78 38 24-Feb-16 7171.19 68 11-Apr-16 7655.65
9 13-Jan-16 7637.54 39 25-Feb-16 7174.42 69 12-Apr-16 7624.58
10 14-Jan-16 7591.51 40 26-Feb-16 7144.91 70 13-Apr-16 7611.17
11 15-Jan-16 7550.32 41 29-Feb-16 7118.66 71 18-Apr-16 7639.39
12 18-Jan-16 7540.32 42 1-Mar-16 7086.98 72 20-Apr-16 7694.94
13 19-Jan-16 7518.90 43 2-Mar-16 7046.57 73 21-Apr-16 7776.48
14 20-Jan-16 7477.82 44 3-Mar-16 7095.91 74 22-Apr-16 7851.65
15 21-Jan-16 7437.64 45 4-Mar-16 7175.85 75 25-Apr-16 7896.16
16 22-Jan-16 7419.49 46 8-Mar-16 7269.07 76 26-Apr-16 7919.69
17 25-Jan-16 7378.30 47 9-Mar-16 7356.26 77 27-Apr-16 7903.69
18 27-Jan-16 7387.98 48 10-Mar-16 7435.83 78 28-Apr-16 7902.08
19 28-Jan-16 7405.54 49 11-Mar-16 7480.56 79 29-Apr-16 7904.83
20 29-Jan-16 7419.44 50 14-Mar-16 7491.62 80 2-May-16 7895.32
21 1-Feb-16 7426.78 51 15-Mar-16 7499.06 81 3-May-16 7880.90
22 2-Feb-16 7473.54 52 16-Mar-16 7508.95 82 4-May-16 7880.23
23 3-Feb-16 7493.12 53 17-Mar-16 7513.14 83 5-May-16 7836.66
24 4-Feb-16 7477.69 54 18-Mar-16 7515.55 84 6-May-16 7789.38
25 5-Feb-16 7474.68 55 21-Mar-16 7525.51 85 9-May-16 7764.06
26 8-Feb-16 7475.66 56 22-Mar-16 7540.83 86 10-May-16 7750.57
27 9-Feb-16 7455.70 57 23-Mar-16 7572.77 87 11-May-16 7760.32
28 10-Feb-16 7403.16 58 28-Mar-16 7624.85 88 12-May-16 7776.42
29 11-Feb-16 7377.53 59 29-Mar-16 7661.57 89 13-May-16 7804.51
30 12-Feb-16 7335.96 60 30-Mar-16 7675.95 90 16-May-16 7837.18

Sl.
No.
Dates
in
NSE Index
5 Day
MA
Sl.
No.
Dates
in
NSE Index
5 Day
MA
Sl.
No.
Dates
in
NSE Index
5 Day
MA
91 17-May-16 7852.37 121 17-May-16 8147.73 151 17-May-16 8655.20
92 18-May-16 7857.03 122 18-May-16 8115.86 152 18-May-16 8665.50
93 19-May-16 7865.45 123 19-May-16 8107.75 153 19-May-16 8660.07
94 20-May-16 7866.26 124 20-May-16 8119.57 154 20-May-16 8661.12
95 23-May-16 7848.50 125 23-May-16 8176.36 155 23-May-16 8652.60
96 24-May-16 7845.05 126 24-May-16 8243.84 156 24-May-16 8635.00
97 25-May-16 7813.29 127 25-May-16 8300.49 157 25-May-16 8627.43
98 26-May-16 7806.30 128 26-May-16 8334.27 158 26-May-16 8651.73
99 27-May-16 7826.09 129 27-May-16 8352.22 159 27-May-16 8664.04
100 30-May-16 7884.04 130 30-May-16 8372.28 160 30-May-16 8655.66
101 31-May-16 7954.55 131 31-May-16 8397.45 161 31-May-16 8657.40
102 1-Jun-16 8048.91 132 1-Jun-16 8429.68 162 1-Jun-16 8661.40
103 2-Jun-16 8122.39 133 2-Jun-16 8464.43 163 2-Jun-16 8645.41
104 3-Jun-16 8158.88 134 3-Jun-16 8507.52 164 3-Jun-16 8628.76
105 6-Jun-16 8191.73 135 6-Jun-16 8537.66 165 6-Jun-16 8632.44
106 7-Jun-16 8204.18 136 7-Jun-16 8540.00 166 7-Jun-16 8653.55
107 8-Jun-16 8209.32 137 8-Jun-16 8535.00 167 8-Jun-16 8678.50
108 9-Jun-16 8230.58 138 9-Jun-16 8548.39 168 9-Jun-16 8714.90
109 10-Jun-16 8253.87 139 10-Jun-16 8539.23 169 10-Jun-16 8768.69
110 13-Jun-16 8240.68 140 13-Jun-16 8530.41 170 13-Jun-16 8833.08
111 14-Jun-16 8215.38 141 14-Jun-16 8554.30 171 14-Jun-16 8865.37
112 15-Jun-16 8195.15 142 15-Jun-16 8571.09 172 15-Jun-16 8893.51
113 16-Jun-16 8165.93 143 16-Jun-16 8581.94 173 16-Jun-16 8880.83
114 17-Jun-16 8147.39 144 17-Jun-16 8611.67 174 17-Jun-16 8852.42
115 20-Jun-16 8146.67 145 20-Jun-16 8638.54 175 20-Jun-16 8807.45
116 21-Jun-16 8149.37 146 21-Jun-16 8641.28 176 21-Jun-16 8780.52
117 22-Jun-16 8173.57 147 22-Jun-16 8648.44 177 22-Jun-16 8751.35
118 23-Jun-16 8188.42 148 23-Jun-16 8641.04 178 23-Jun-16 8767.98
119 24-Jun-16 8192.52 149 24-Jun-16 8627.42 179 24-Jun-16 8783.91
120 27-Jun-16 8163.01 150 27-Jun-16 8639.13 180 27-Jun-16 8809.81

Sl.
No.
Dates
in
NSE Index
5 Day
MA
Sl.
No.
Dates
in
NSE Index
5 Day
MA
Sl.
No.
Dates
in
NSE Index
5 Day
MA
181 26-Sep-16 8829.79 211 9-Nov-16 8524.40 241 22-Dec-16 8129.81
182 27-Sep-16 8833.68 212 10-Nov-16 8429.34 242 23-Dec-16 8112.90
183 28-Sep-16 8820.24 213 11-Nov-16 8440.49 243 26-Dec-16 8071.76
184 29-Sep-16 8804.42 214 15-Nov-16 8431.10 244 27-Dec-16 8039.58
185 30-Sep-16 8788.29 215 16-Nov-16 8380.92 245 28-Dec-16 8000.47
186 3-Oct-16 8728.44 216 17-Nov-16 8314.05 246 29-Dec-16 7988.81
187 4-Oct-16 8700.09 217 18-Nov-16 8321.57 247 30-Dec-16 7986.16
188 5-Oct-16 8704.31 218 21-Nov-16 8229.96
189 6-Oct-16 8723.34 219 22-Nov-16 8159.05
190 7-Oct-16 8718.54 220 23-Nov-16 8099.91
191 10-Oct-16 8746.58 221 24-Nov-16 8069.02
192 13-Oct-16 8760.42 222 25-Nov-16 8050.36
193 14-Oct-16 8740.72 223 28-Nov-16 8032.44
194 17-Oct-16 8698.25 224 29-Nov-16 8028.15
195 18-Oct-16 8667.10 225 30-Nov-16 8056.63
196 19-Oct-16 8633.97 226 1-Dec-16 8080.82
197 20-Oct-16 8626.40 227 2-Dec-16 8127.26
198 21-Oct-16 8630.77 228 5-Dec-16 8156.38
199 24-Oct-16 8653.69 229 6-Dec-16 8158.00
200 25-Oct-16 8673.07 230 7-Dec-16 8162.32
201 26-Oct-16 8706.20 231 8-Dec-16 8161.57
202 27-Oct-16 8698.16 232 9-Dec-16 8143.19
203 28-Oct-16 8680.91 233 12-Dec-16 8166.82
204 30-Oct-16 8664.19 234 13-Dec-16 8195.20
205 1-Nov-16 8656.69 235 14-Dec-16 8203.80
206 2-Nov-16 8642.98 236 15-Dec-16 8215.99
207 3-Nov-16 8620.08 237 16-Dec-16 8211.25
208 4-Nov-16 8598.63 238 19-Dec-16 8192.55
209 7-Nov-16 8574.35 239 20-Dec-16 8171.62
210 8-Nov-16 8547.03 240 21-Dec-16 8154.51

ANNEXURE II
Sl.
No.
Dates
in
NSE Index
10 Day
MA
Sl.
No.
Dates
in
NSE Index
10 Day
MA
Sl.
No.
Dates
in
NSE Index
10 Day
MA
1 1-Jan-16 31 15-Feb-16 7366.35 61 31-Mar-16 7611.58
2 4-Jan-16 32 16-Feb-16 7313.14 62 1-Apr-16 7630.76
3 5-Jan-16 33 17-Feb-16 7276.60 63 4-Apr-16 7656.86
4 6-Jan-16 34 18-Feb-16 7243.24 64 5-Apr-16 7674.44
5 7-Jan-16 35 19-Feb-16 7219.83 65 6-Apr-16 7694.60
6 8-Jan-16 36 22-Feb-16 7195.06 66 7-Apr-16 7696.29
7 11-Jan-16 37 23-Feb-16 7166.98 67 8-Apr-16 7689.77
8 12-Jan-16 38 24-Feb-16 7160.61 68 11-Apr-16 7672.26
9 13-Jan-16 39 25-Feb-16 7141.68 69 12-Apr-16 7655.94
10 14-Jan-16 40 26-Feb-16 7124.31 70 13-Apr-16 7662.21
11 15-Jan-16 7686.38 41 29-Feb-16 7125.87 71 18-Apr-16 7674.82
12 18-Jan-16 7652.76 42 1-Mar-16 7125.18 72 20-Apr-16 7692.87
13 19-Jan-16 7602.34 43 2-Mar-16 7108.88 73 21-Apr-16 7716.07
14 20-Jan-16 7557.68 44 3-Mar-16 7135.17 74 22-Apr-16 7738.12
15 21-Jan-16 7514.58 45 4-Mar-16 7160.38 75 25-Apr-16 7753.67
16 22-Jan-16 7484.91 46 8-Mar-16 7193.87 76 26-Apr-16 7779.54
17 25-Jan-16 7459.31 47 9-Mar-16 7221.62 77 27-Apr-16 7799.32
18 27-Jan-16 7453.44 48 10-Mar-16 7241.20 78 28-Apr-16 7839.28
19 28-Jan-16 7441.68 49 11-Mar-16 7288.24 79 29-Apr-16 7878.24
20 29-Jan-16 7428.54 50 14-Mar-16 7333.74 80 2-May-16 7895.74
21 1-Feb-16 7423.14 51 15-Mar-16 7384.07 81 3-May-16 7900.30
22 2-Feb-16 7425.92 52 16-Mar-16 7432.61 82 4-May-16 7891.96
23 3-Feb-16 7440.55 53 17-Mar-16 7474.49 83 5-May-16 7869.37
24 4-Feb-16 7441.62 54 18-Mar-16 7498.06 84 6-May-16 7847.11
25 5-Feb-16 7447.06 55 21-Mar-16 7508.57 85 9-May-16 7829.69
26 8-Feb-16 7451.22 56 22-Mar-16 7519.95 86 10-May-16 7815.74
27 9-Feb-16 7464.62 57 23-Mar-16 7540.86 87 11-May-16 7820.28
28 10-Feb-16 7448.14 58 28-Mar-16 7569.00 88 12-May-16 7806.54
29 11-Feb-16 7427.61 59 29-Mar-16 7588.56 89 13-May-16 7796.95
30 12-Feb-16 7405.32 60 30-Mar-16 7600.73 90 16-May-16 7800.62

Sl.
No.
Dates
in
NSE Index
10 Day
MA
Sl.
No.
Dates
in
NSE Index
10 Day
MA
Sl.
No.
Dates
in
NSE Index
10 Day
MA
91 17-May-16 7801.47 121 17-May-16 8148.55 151 17-May-16 8648.24
92 18-May-16 7808.68 122 18-May-16 8144.72 152 18-May-16 8656.97
93 19-May-16 7820.94 123 19-May-16 8148.09 153 19-May-16 8650.56
94 20-May-16 7835.39 124 20-May-16 8156.05 154 20-May-16 8644.27
95 23-May-16 7842.84 125 23-May-16 8169.69 155 23-May-16 8645.87
96 24-May-16 7848.71 126 24-May-16 8195.79 156 24-May-16 8645.10
97 25-May-16 7835.16 127 25-May-16 8208.18 157 25-May-16 8646.47
98 26-May-16 7835.88 128 26-May-16 8221.01 158 26-May-16 8655.90
99 27-May-16 7846.18 129 27-May-16 8235.90 159 27-May-16 8662.58
100 30-May-16 7866.27 130 30-May-16 8274.32 160 30-May-16 8654.13
101 31-May-16 7899.80 131 31-May-16 8320.65 161 31-May-16 8646.20
102 1-Jun-16 7931.10 132 1-Jun-16 8365.09 162 1-Jun-16 8644.42
103 2-Jun-16 7964.35 133 2-Jun-16 8399.35 163 2-Jun-16 8648.57
104 3-Jun-16 7992.49 134 3-Jun-16 8429.87 164 3-Jun-16 8646.40
105 6-Jun-16 8037.89 135 6-Jun-16 8454.97 165 6-Jun-16 8644.05
106 7-Jun-16 8079.37 136 7-Jun-16 8468.73 166 7-Jun-16 8655.48
107 8-Jun-16 8129.12 137 8-Jun-16 8482.34 167 8-Jun-16 8669.95
108 9-Jun-16 8176.49 138 9-Jun-16 8506.41 168 9-Jun-16 8680.16
109 10-Jun-16 8206.38 139 10-Jun-16 8523.38 169 10-Jun-16 8698.73
110 13-Jun-16 8216.21 140 13-Jun-16 8534.04 170 13-Jun-16 8732.76
111 14-Jun-16 8209.78 141 14-Jun-16 8547.15 171 14-Jun-16 8759.46
112 15-Jun-16 8202.24 142 15-Jun-16 8553.05 172 15-Jun-16 8786.01
113 16-Jun-16 8198.26 143 16-Jun-16 8565.17 173 16-Jun-16 8797.87
114 17-Jun-16 8200.63 144 17-Jun-16 8575.45 174 17-Jun-16 8810.56
115 20-Jun-16 8193.68 145 20-Jun-16 8584.48 175 20-Jun-16 8820.27
116 21-Jun-16 8182.38 146 21-Jun-16 8597.79 176 21-Jun-16 8822.95
117 22-Jun-16 8184.36 147 22-Jun-16 8609.77 177 22-Jun-16 8822.43
118 23-Jun-16 8177.18 148 23-Jun-16 8611.49 178 23-Jun-16 8824.41
119 24-Jun-16 8169.96 149 24-Jun-16 8619.55 179 24-Jun-16 8818.17
120 27-Jun-16 8154.84 150 27-Jun-16 8638.84 180 27-Jun-16 8808.63

Sl.
No.
Dates
in
NSE Index
10 Day
MA
Sl.
No.
Dates
in
NSE Index
10 Day
MA
Sl.
No.
Dates
in
NSE Index
10 Day
MA
181 26-Sep-16 8805.16 211 9-Nov-16 8583.69 241 22-Dec-16 8172.90
182 27-Sep-16 8792.52 212 10-Nov-16 8524.71 242 23-Dec-16 8162.08
183 28-Sep-16 8794.11 213 11-Nov-16 8519.56 243 26-Dec-16 8132.16
184 29-Sep-16 8794.17 214 15-Nov-16 8502.73 244 27-Dec-16 8105.60
185 30-Sep-16 8799.05 215 16-Nov-16 8463.98 245 28-Dec-16 8077.49
186 3-Oct-16 8779.12 216 17-Nov-16 8419.23 246 29-Dec-16 8059.31
187 4-Oct-16 8766.89 217 18-Nov-16 8375.46 247 30-Dec-16 8049.53
188 5-Oct-16 8762.28 218 21-Nov-16 8335.23
189 6-Oct-16 8763.88 219 22-Nov-16 8295.08
190 7-Oct-16 8753.42 220 23-Nov-16 8240.42
191 10-Oct-16 8737.51 221 24-Nov-16 8191.54
192 13-Oct-16 8730.26 222 25-Nov-16 8185.97
193 14-Oct-16 8722.52 223 28-Nov-16 8131.20
194 17-Oct-16 8710.80 224 29-Nov-16 8093.60
195 18-Oct-16 8692.82 225 30-Nov-16 8078.27
196 19-Oct-16 8690.28 226 1-Dec-16 8074.92
197 20-Oct-16 8693.41 227 2-Dec-16 8088.81
198 21-Oct-16 8685.75 228 5-Dec-16 8094.41
199 24-Oct-16 8675.97 229 6-Dec-16 8093.08
200 25-Oct-16 8670.09 230 7-Dec-16 8109.48
201 26-Oct-16 8670.09 231 8-Dec-16 8121.20
202 27-Oct-16 8662.28 232 9-Dec-16 8135.23
203 28-Oct-16 8655.84 233 12-Dec-16 8161.60
204 30-Oct-16 8658.94 234 13-Dec-16 8176.60
205 1-Nov-16 8664.88 235 14-Dec-16 8183.06
206 2-Nov-16 8674.59 236 15-Dec-16 8188.78
207 3-Nov-16 8659.12 237 16-Dec-16 8177.22
208 4-Nov-16 8639.77 238 19-Dec-16 8179.69
209 7-Nov-16 8619.27 239 20-Dec-16 8183.41
210 8-Nov-16 8601.86 240 21-Dec-16 8179.16

ANNEXURE V
Sl.
No.
Dates
in
NSE Index
50 Day
MA
Sl.
No.
Dates
in
NSE Index
50 Day
MA
Sl.
No.
Dates
in
NSE Index
50 Day
MA
1 1-Jan-16 31 15-Feb-16 61 31-Mar-16 7382.20
2 4-Jan-16 32 16-Feb-16 62 1-Apr-16 7385.52
3 5-Jan-16 33 17-Feb-16 63 4-Apr-16 7391.47
4 6-Jan-16 34 18-Feb-16 64 5-Apr-16 7398.50
5 7-Jan-16 35 19-Feb-16 65 6-Apr-16 7406.09
6 8-Jan-16 36 22-Feb-16 66 7-Apr-16 7411.28
7 11-Jan-16 37 23-Feb-16 67 8-Apr-16 7416.77
8 12-Jan-16 38 24-Feb-16 68 11-Apr-16 7418.24
9 13-Jan-16 39 25-Feb-16 69 12-Apr-16 7420.41
10 14-Jan-16 40 26-Feb-16 70 13-Apr-16 7425.26
11 15-Jan-16 41 29-Feb-16 71 18-Apr-16 7432.54
12 18-Jan-16 42 1-Mar-16 72 20-Apr-16 7438.91
13 19-Jan-16 43 2-Mar-16 73 21-Apr-16 7446.58
14 20-Jan-16 44 3-Mar-16 74 22-Apr-16 7457.80
15 21-Jan-16 45 4-Mar-16 75 25-Apr-16 7467.41
16 22-Jan-16 46 8-Mar-16 76 26-Apr-16 7476.94
17 25-Jan-16 47 9-Mar-16 77 27-Apr-16 7483.71
18 27-Jan-16 48 10-Mar-16 78 28-Apr-16 7496.47
19 28-Jan-16 49 11-Mar-16 79 29-Apr-16 7510.53
20 29-Jan-16 50 14-Mar-16 80 2-May-16 7523.34
21 1-Feb-16 51 15-Mar-16 7397.16 81 3-May-16 7539.33
22 2-Feb-16 52 16-Mar-16 7389.92 82 4-May-16 7554.67
23 3-Feb-16 53 17-Mar-16 7380.57 83 5-May-16 7565.13
24 4-Feb-16 54 18-Mar-16 7375.15 84 6-May-16 7578.58
25 5-Feb-16 55 21-Mar-16 7370.08 85 9-May-16 7589.38
26 8-Feb-16 56 22-Mar-16 7369.00 86 10-May-16 7601.07
27 9-Feb-16 57 23-Mar-16 7370.68 87 11-May-16 7614.37
28 10-Feb-16 58 28-Mar-16 7374.48 88 12-May-16 7625.66
29 11-Feb-16 59 29-Mar-16 7377.55 89 13-May-16 7641.58
30 12-Feb-16 60 30-Mar-16 7378.53 90 16-May-16 7658.61

ANNEXURE V Continue
Sl.
No.
Dates
in
NSE Index
50 Day
MA
Sl.
No.
Dates
in
NSE Index
50 Day
MA
Sl.
No.
Dates
in
NSE Index
50 Day
MA
91 17-May-16 7674.45 121 17-May-16 7991.98 151 17-May-16 8374.87
92 18-May-16 7691.37 122 18-May-16 7995.74 152 18-May-16 8384.41
93 19-May-16 7707.54 123 19-May-16 8000.20 153 19-May-16 8392.28
94 20-May-16 7718.62 124 20-May-16 8006.33 154 20-May-16 8401.25
95 23-May-16 7725.87 125 23-May-16 8014.76 155 23-May-16 8409.73
96 24-May-16 7732.04 126 24-May-16 8024.39 156 24-May-16 8417.96
97 25-May-16 7737.08 127 25-May-16 8035.42 157 25-May-16 8426.22
98 26-May-16 7744.59 128 26-May-16 8043.42 158 26-May-16 8434.40
99 27-May-16 7753.17 129 27-May-16 8051.07 159 27-May-16 8442.27
100 30-May-16 7765.11 130 30-May-16 8062.45 160 30-May-16 8451.23
101 31-May-16 7777.59 131 31-May-16 8076.05 161 31-May-16 8462.16
102 1-Jun-16 7791.07 132 1-Jun-16 8090.36 162 1-Jun-16 8472.85
103 2-Jun-16 7805.52 133 2-Jun-16 8106.19 163 2-Jun-16 8482.35
104 3-Jun-16 7817.51 134 3-Jun-16 8122.88 164 3-Jun-16 8490.41
105 6-Jun-16 7831.74 135 6-Jun-16 8139.81 165 6-Jun-16 8499.81
106 7-Jun-16 7843.93 136 7-Jun-16 8154.99 166 7-Jun-16 8512.58
107 8-Jun-16 7854.73 137 8-Jun-16 8167.83 167 8-Jun-16 8523.34
108 9-Jun-16 7866.09 138 9-Jun-16 8183.39 168 9-Jun-16 8534.99
109 10-Jun-16 7876.74 139 10-Jun-16 8196.36 169 10-Jun-16 8548.02
110 13-Jun-16 7888.21 140 13-Jun-16 8209.13 170 13-Jun-16 8566.82
111 14-Jun-16 7897.23 141 14-Jun-16 8225.19 171 14-Jun-16 8584.34
112 15-Jun-16 7905.37 142 15-Jun-16 8239.24 172 15-Jun-16 8601.10
113 16-Jun-16 7913.79 143 16-Jun-16 8255.04 173 16-Jun-16 8612.30
114 17-Jun-16 7922.74 144 17-Jun-16 8270.90 174 17-Jun-16 8621.31
115 20-Jun-16 7931.55 145 20-Jun-16 8288.14 175 20-Jun-16 8629.93
116 21-Jun-16 7941.15 146 21-Jun-16 8304.81 176 21-Jun-16 8638.01
117 22-Jun-16 7953.65 147 22-Jun-16 8322.75 177 22-Jun-16 8646.19
118 23-Jun-16 7967.07 148 23-Jun-16 8338.51 178 23-Jun-16 8655.67
119 24-Jun-16 7979.54 149 24-Jun-16 8351.03 179 24-Jun-16 8664.48
120 27-Jun-16 7986.74 150 27-Jun-16 8363.65 180 27-Jun-16 8673.68

ANNEXURE V Continue
Sl.
No.
Dates
in
NSE Index
50 Day
MA
Sl.
No.
Dates
in
NSE Index
50 Day
MA
Sl.
No.
Dates
in
NSE Index
50 Day
MA
181 26-Sep-16 8681.24 211 9-Nov-16 8711.18 241 22-Dec-16 8347.88
182 27-Sep-16 8686.59 212 10-Nov-16 8699.15 242 23-Dec-16 8334.05
183 28-Sep-16 8691.25 213 11-Nov-16 8697.98 243 26-Dec-16 8320.07
184 29-Sep-16 8694.17 214 15-Nov-16 8695.44 244 27-Dec-16 8307.49
185 30-Sep-16 8698.74 215 16-Nov-16 8688.20 245 28-Dec-16 8293.54
186 3-Oct-16 8700.09 216 17-Nov-16 8677.23 246 29-Dec-16 8283.37
187 4-Oct-16 8703.10 217 18-Nov-16 8663.46 247 30-Dec-16 8270.03
188 5-Oct-16 8706.85 218 21-Nov-16 8649.48
189 6-Oct-16 8712.58 219 22-Nov-16 8634.47
190 7-Oct-16 8717.55 220 23-Nov-16 8614.88
191 10-Oct-16 8719.31 221 24-Nov-16 8597.60
192 13-Oct-16 8722.03 222 25-Nov-16 8579.15
193 14-Oct-16 8722.72 223 28-Nov-16 8564.65
194 17-Oct-16 8721.24 224 29-Nov-16 8552.05
195 18-Oct-16 8720.41 225 30-Nov-16 8539.80
196 19-Oct-16 8718.58 226 1-Dec-16 8527.63
197 20-Oct-16 8719.83 227 2-Dec-16 8516.74
198 21-Oct-16 8721.70 228 5-Dec-16 8503.49
199 24-Oct-16 8723.86 229 6-Dec-16 8489.45
200 25-Oct-16 8723.80 230 7-Dec-16 8475.05
201 26-Oct-16 8723.68 231 8-Dec-16 8460.80
202 27-Oct-16 8723.09 232 9-Dec-16 8447.69
203 28-Oct-16 8723.78 233 12-Dec-16 8438.14
204 30-Oct-16 8724.17 234 13-Dec-16 8428.53
205 1-Nov-16 8724.21 235 14-Dec-16 8416.60
206 2-Nov-16 8724.48 236 15-Dec-16 8409.56
207 3-Nov-16 8722.36 237 16-Dec-16 8398.80
208 4-Nov-16 8718.47 238 19-Dec-16 8386.97
209 7-Nov-16 8715.20 239 20-Dec-16 8373.36
210 8-Nov-16 8713.35 240 21-Dec-16 8360.20

ANNEXURE V
Sl.
No.
Dates
in
NSE Index
200
Day
MA
Sl.
No.
Dates
in
NSE Index
200
Day
MA
Sl.
No.
Dates
in
NSE Index
200
Day
MA
1 1-Jan-16 31 15-Feb-16 61 31-Mar-16
2 4-Jan-16 32 16-Feb-16 62 1-Apr-16
3 5-Jan-16 33 17-Feb-16 63 4-Apr-16
4 6-Jan-16 34 18-Feb-16 64 5-Apr-16
5 7-Jan-16 35 19-Feb-16 65 6-Apr-16
6 8-Jan-16 36 22-Feb-16 66 7-Apr-16
7 11-Jan-16 37 23-Feb-16 67 8-Apr-16
8 12-Jan-16 38 24-Feb-16 68 11-Apr-16
9 13-Jan-16 39 25-Feb-16 69 12-Apr-16
10 14-Jan-16 40 26-Feb-16 70 13-Apr-16
11 15-Jan-16 41 29-Feb-16 71 18-Apr-16
12 18-Jan-16 42 1-Mar-16 72 20-Apr-16
13 19-Jan-16 43 2-Mar-16 73 21-Apr-16
14 20-Jan-16 44 3-Mar-16 74 22-Apr-16
15 21-Jan-16 45 4-Mar-16 75 25-Apr-16
16 22-Jan-16 46 8-Mar-16 76 26-Apr-16
17 25-Jan-16 47 9-Mar-16 77 27-Apr-16
18 27-Jan-16 48 10-Mar-16 78 28-Apr-16
19 28-Jan-16 49 11-Mar-16 79 29-Apr-16
20 29-Jan-16 50 14-Mar-16 80 2-May-16
21 1-Feb-16 51 15-Mar-16 81 3-May-16
22 2-Feb-16 52 16-Mar-16 82 4-May-16
23 3-Feb-16 53 17-Mar-16 83 5-May-16
24 4-Feb-16 54 18-Mar-16 84 6-May-16
25 5-Feb-16 55 21-Mar-16 85 9-May-16
26 8-Feb-16 56 22-Mar-16 86 10-May-16
27 9-Feb-16 57 23-Mar-16 87 11-May-16
28 10-Feb-16 58 28-Mar-16 88 12-May-16
29 11-Feb-16 59 29-Mar-16 89 13-May-16
30 12-Feb-16 60 30-Mar-16 90 16-May-16

ANNEXURE V Continue
Sl.
No.
Dates
in
NSE Index
200
Day
MA
Sl.
No.
Dates
in
NSE Index
200
Day
MA
Sl.
No.
Dates
in
NSE Index
200
Day
MA
91 17-May-16 121 17-May-16 151 17-May-16
92 18-May-16 122 18-May-16 152 18-May-16
93 19-May-16 123 19-May-16 153 19-May-16
94 20-May-16 124 20-May-16 154 20-May-16
95 23-May-16 125 23-May-16 155 23-May-16
96 24-May-16 126 24-May-16 156 24-May-16
97 25-May-16 127 25-May-16 157 25-May-16
98 26-May-16 128 26-May-16 158 26-May-16
99 27-May-16 129 27-May-16 159 27-May-16
100 30-May-16 130 30-May-16 160 30-May-16
101 31-May-16 131 31-May-16 161 31-May-16
102 1-Jun-16 132 1-Jun-16 162 1-Jun-16
103 2-Jun-16 133 2-Jun-16 163 2-Jun-16
104 3-Jun-16 134 3-Jun-16 164 3-Jun-16
105 6-Jun-16 135 6-Jun-16 165 6-Jun-16
106 7-Jun-16 136 7-Jun-16 166 7-Jun-16
107 8-Jun-16 137 8-Jun-16 167 8-Jun-16
108 9-Jun-16 138 9-Jun-16 168 9-Jun-16
109 10-Jun-16 139 10-Jun-16 169 10-Jun-16
110 13-Jun-16 140 13-Jun-16 170 13-Jun-16
111 14-Jun-16 141 14-Jun-16 171 14-Jun-16
112 15-Jun-16 142 15-Jun-16 172 15-Jun-16
113 16-Jun-16 143 16-Jun-16 173 16-Jun-16
114 17-Jun-16 144 17-Jun-16 174 17-Jun-16
115 20-Jun-16 145 20-Jun-16 175 20-Jun-16
116 21-Jun-16 146 21-Jun-16 176 21-Jun-16
117 22-Jun-16 147 22-Jun-16 177 22-Jun-16
118 23-Jun-16 148 23-Jun-16 178 23-Jun-16
119 24-Jun-16 149 24-Jun-16 179 24-Jun-16
120 27-Jun-16 150 27-Jun-16 180 27-Jun-16

ANNEXURE V Continue
Sl.
No.
Dates
in
NSE Index
200 Day
MA
Sl.
No.
Dates
in
NSE Index
200 Day
MA
Sl.
No.
Dates
in
NSE Index
200 Day
MA
181 26-Sep-16 211 9-Nov-16 8113.19 241 22-Dec-16 8241.71
182 27-Sep-16 212 10-Nov-16 8115.72 242 23-Dec-16 8246.67
183 28-Sep-16 213 11-Nov-16 8121.40 243 26-Dec-16 8251.34
184 29-Sep-16 214 15-Nov-16 8126.77 244 27-Dec-16 8254.56
185 30-Sep-16 215 16-Nov-16 8131.41 245 28-Dec-16 8256.99
186 3-Oct-16 216 17-Nov-16 8135.56 246 29-Dec-16 8259.70
187 4-Oct-16 217 18-Nov-16 8139.30 247 30-Dec-16 8262.42
188 5-Oct-16 218 21-Nov-16 8142.45
189 6-Oct-16 219 22-Nov-16 8145.61
190 7-Oct-16 220 23-Nov-16 8148.42
191 10-Oct-16 221 24-Nov-16 8151.61
192 13-Oct-16 222 25-Nov-16 8153.72
193 14-Oct-16 223 28-Nov-16 8155.93
194 17-Oct-16 224 29-Nov-16 8159.37
195 18-Oct-16 225 30-Nov-16 8162.97
196 19-Oct-16 226 1-Dec-16 8166.74
197 20-Oct-16 227 2-Dec-16 8170.51
198 21-Oct-16 228 5-Dec-16 8174.76
199 24-Oct-16 229 6-Dec-16 8178.88
200 25-Oct-16 230 7-Dec-16 8183.63
201 26-Oct-16 8068.33 231 8-Dec-16 8189.35
202 27-Oct-16 8072.12 232 9-Dec-16 8194.83
203 28-Oct-16 8075.54 233 12-Dec-16 8200.18
204 30-Oct-16 8079.52 234 13-Dec-16 8206.04
205 1-Nov-16 8083.94 235 14-Dec-16 8211.13
206 2-Nov-16 8088.84 236 15-Dec-16 8216.43
207 3-Nov-16 8093.50 237 16-Dec-16 8221.03
208 4-Nov-16 8098.36 238 19-Dec-16 8225.71
209 7-Nov-16 8102.94 239 20-Dec-16 8230.97
210 8-Nov-16 8107.83 240 21-Dec-16 8236.37

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