GSS Infotech Limited

I find this data from www.nseindia.com.............. AS ON
COMPANY_NAME	GSS Infotech Limited
SYMBOL	GSS		CLOSE_PRICE	0
LastUpdateTime	25-APR-2018 14:58:24		CM_FFM	58.83
LAST_PRICE	81.75		CSS_STATUS_DESC	Listed
CHANGE	7.85		DELIVERY_QUANTITY	6,20,074
P_CHANGE	10.62		DELIVERY_TO_TRADE_QUANTITY	11.54
DAY_HIGH	82.95		EX_DATE	21-SEP-17
DAY_LOW	72.5		EXTREME_LOSS_MARGIN	8.08
CM_ADJ_HIGH_DT	25-APR-18		FACE_VALUE	10
CM_ADJ_LOW_DT	14-AUG-17		INDEC_VAR	15
HIGH_52	82.95		ID_EX_DATE_FLAG	[]
LOW_52	18.75		IS_IN_CODE	INE871H01011
OPEN Price	74.7		LAST_PRICE	81.75
TODAY_BUY_QUANTITY	3,54,869		MARKET_TYPE	N
TODAY_SELL_QUANTITY	2,11,983		ND_END_DATE	-
TOTAL_TRADED_VALUE	3080.56		ND_START_DATE	-
TOTAL_TRADED_VOLUME	[]		PURPOSE	ANNUAL GENERAL MEETING
QUANTITY_TRADED	53,73,732		RECORD_DATE	-
PRICE_BAND	20		SEC_DATE	24APR2018
PRICE_BAND_LOWER	59.15		SECURITY_VAR	25.94
PRICE_BAND_UPPER	88.65		SELL_PRICE1	81.85
PREVIOUS_CLOSE	73.9		SELL_PRICE2	81.9
ADHOC_MARGIN	-		SELL_PRICE3	81.95
APPLICABLE_MARGIN	53.01		SELL_PRICE4	82
AVERAGE_PRICE	79.24		SELL_PRICE5	82.2
BASE_PRICE	73.9		SELL_QUANTITY1	5
BC_END_DATE	[]		SELL_QUANTITY2	1
BC_START_DATE	23-SEP-17		SELL_QUANTITY3	783
BUY_PRICE1	81.7		SELL_QUANTITY4	348
BUY_PRICE2	81.65		SELL_QUANTITY5	8977
BUY_PRICE3	81.55		SERIES	EQ
BUY_PRICE4	81.5		SURV_INDICATOR	-
BUY_PRICE5	81.25		TODAY_OPEN	74.7
BUY_QUANTITY1	200		TRADED_DATE	25APR2018
BUY_QUANTITY2	215		VAR_MARGIN	44.93
BUY_QUANTITY3	75
BUY_QUANTITY4	500
BUY_QUANTITY5	200
DMA - Direct market access
Direct market access (DMA) is a term used in financial markets to describe electronic trading facilities that give investors wishing to trade in financial instruments a way to interact with the order book of an exchange. Normally, trading on the order book is restricted to broker-dealers and market making firms that are members of the exchange. Using DMA, investment companies (also known as buy side firms) and other private traders use the information technology infrastructure of sell side firms such as investment banks and the market access that those firms possess, but control the way a trading transaction is managed themselves rather than passing the order over to the broker's own in-house traders for execution. Today, DMA is often combined with algorithmic trading giving access to many different trading strategies. Certain forms of DMA, most notably ''sponsored access'', have raised substantial regulatory concerns because of the possibility of a malfunction by an investor to cause widespread market disruption.
50 DMA	#REF!	-	#REF!
40 DMA	#REF!	-	#REF!
30 DMA	#REF!	-	#REF!
20 DMA	#REF!	-	#REF!
10 DMA	#REF!	-	#REF!
5 DMA	#REF!	-	#REF!
3 DMA	57.09	-	51.80
Fraction -
Result	148.24
Support	67.74
Resistance	81.24
Possible	74.49
	Buy
If Possible Buy  is found nearer to Resistance  sale it for intraday
Pivot Point -
Monthly pivot point chart of the Dow Jones Industrial Average for the first 8 months of 2009, showing sets of first and second levels of resistance (green) and support (red). The pivot point levels are highlighted in yellow. Trading below the pivot point, particularly at the beginning of a trading period sets a bearish market sentiment and often results in further price decline, while trading above it, bullish price action may continue for some time. In financial markets, a pivot point is a price level that is used by traders as a possible indicator of market movement. A pivot point is calculated as an average of significant prices (high, low, close) from the performance of a market in the prior trading period. If the market in the following period trades above the pivot point it is usually evaluated as a bullish sentiment, whereas trading below the pivot point is seen as bearish. It is customary to calculate additional levels of support and resistance, below and above the pivot point, respectively, by subtracting or adding price differentials calculated from previous trading ranges of the market.[citation needed] A pivot point and the associated support and resistance levels are often turning points for the direction of price movement in a market.[1][page needed] In an up-trending market, the pivot point and the resistance levels may represent a ceiling level in price above which the uptrend is no longer sustainable and a reversal may occur. In a declining market, a pivot point and the support levels may represent a low price level of stability or a resistance to further decline.
R3	94.00
R2	87.25
R1	80.50
S1	67.00
S2	60.25
S3	53.50
Elliott wave -
The Elliott wave principle is a form of technical analysis that finance traders use to analyze financial market cycles and forecast market trends by identifying extremes in investor psychology, highs and lows in prices, and other collective factors. Ralph Nelson Elliott (1871–1948), a professional accountant, discovered the underlying social principles and developed the analytical tools in the 1930s. He proposed that market prices unfold in specific patterns, which practitioners today call ''Elliott waves'', or simply waves. Elliott published his theory of market behavior in the book The Wave Principle in 1938, summarized it in a series of articles in Financial World magazine in 1939, and covered it most comprehensively in his final major work, Nature's Laws
For Up side moves points are	-		For Down side moves points are	-
Wave1	67 - 80.5		Wave1	80.5 - 67
Wave2	80.5 - 72.157		Wave2	67 - 75.343
Wave3	72.157 - 94		Wave3	75.343 - 53.5
Wave4	94 - 88.843		Wave4	53.5 - 58.657
Wave5	88.843 - 102.343		Wave5	58.657 - 45.157
	110.69			36.81
WaveA	102.343 - 97.186		WaveA	45.157 - 50.314
WaveB	97.186 - 105.529		WaveB	50.314 - 41.971
WaveC	105.529 - 97.186		WaveC	41.971 - 50.314
FIBONACCI -
Fibonacci retracement is a method of technical analysis for determining support and resistance levels.[1] They are named after their use of the Fibonacci sequence.[1] Fibonacci retracement is based on the idea that markets will retrace a predictable portion of a move, after which they will continue to move in the original direction. The appearance of retracement can be ascribed to ordinary price volatility as described by Burton Malkiel, a Princeton economist in his book A Random Walk Down Wall Street, who found no reliable predictions in technical analysis methods taken as a whole. Malkiel argues that asset prices typically exhibit signs of random walk and that one cannot consistently outperform market averages. Fibonacci retracement is created by taking two extreme points on a chart and dividing the vertical distance by the key Fibonacci ratios. 0.0% is considered to be the start of the retracement, while 100.0% is a complete reversal to the original part of the move. Once these levels are identified, horizontal lines are drawn and used to identify possible support and resistance levels (see trend line). The significance of such levels, however, could not be confirmed by examining the data.[2] Arthur Merrill in Filtered Waves determined there is no reliably standard retracement
For Up side moves points are	-		For Down side moves points are	-
5.57%	79.75		5.57%	67.75
9.02%	79.28		9.02%	68.22
14.60%	78.53		14.60%	68.97
23.60%	77.31		23.60%	70.19
38.20%	75.34		38.20%	72.16
50.00%	73.75		50.00%	73.75
61.80%	72.16		61.80%	75.34
76.40%	70.19		76.40%	77.31
78.60%	69.89		78.60%	77.61
85.40%	68.97		85.40%	78.53
94.43%	67.75		94.43%	79.75
200.00%	94.00		200.00%	53.50
194.43%	93.25		194.43%	54.25
185.40%	92.03		185.40%	55.47
178.60%	91.11		178.60%	56.39
176.40%	90.81		176.40%	56.69
161.80%	88.84		161.80%	58.66
150.57%	87.33		150.57%	60.17
138.20%	85.66		138.20%	61.84
127.20%	84.17		127.20%	63.33
114.60%	82.47		114.60%	65.03
105.57%	81.25		105.57%	66.25
Williams %R -
Williams %R, or just %R, is a technical analysis oscillator showing the current closing price in relation to the high and low of the past N days (for a given N). It was developed by a publisher and promoter of trading materials, Larry Williams. Its purpose is to tell whether a stock or commodity market is trading near the high or the low, or somewhere in between, of its recent trading range.
%R={high_{Ndays}-close_{today} \over high_{Ndays}-low_{Ndays}}\times -100}
%R = { high_{Ndays} - close_{today} \over high_{Ndays} - low_{Ndays} } \times -100 [1]
The oscillator is on a negative scale, from −100 (lowest) up to 0 (highest), obverse of the more common 0 to 100 scale found in many Technical Analysis oscillators. A value of −100 means the close today was the lowest low of the past N days, and 0 means today's close was the highest high of the past N days. (Although sometimes the %R is adjusted by adding 100.)