Aditya Birla Money Limited


I find this data from www.nseindia.com.............. AS ON
companyName Aditya Birla Money Limited
symbol BIRLAMONEY closePrice 0
LastUpdateTime 17-APR-2018 11:06:17 cm_ffm 108.85
Last Price 75.6 css_status_desc Listed
change 1 deliveryQuantity -
pChange 1.34 deliveryToTradedQuantity -
dayHigh 76.9 exDate 20-JUN-17
dayLow 73.2 extremeLossMargin -
cm_adj_high_dt 26-JUL-17 faceValue 1
cm_adj_low_dt 24-APR-17 indexVar -
high52 164.9 isExDateFlag []
low52 49.05 isinCode INE865C01022
OPEN Price 74.8 lastPrice 75.6
totalBuyQuantity 15162 marketType N
totalSellQuantity 20430 ndEndDate -
totalTradedValue 19.51 ndStartDate -
totalTradedVolume [] purpose ANNUAL GENERAL MEETING
quantityTraded - recordDate -
priceBand 5 secDate -
pricebandlower 70.9 securityVar -
pricebandupper 78.3 sellPrice1 75.65
previousClose 74.6 sellPrice2 76.3
adhocMargin - sellPrice3 76.45
applicableMargin 100 sellPrice4 76.5
averagePrice 75.04 sellPrice5 76.6
basePrice 74.6 sellQuantity1 1
bcEndDatebcEndDate [] sellQuantity2 35
bcStartDate 22-JUN-17 sellQuantity3 50
buyPrice1 75.6 sellQuantity4 960
buyPrice2 75.3 sellQuantity5 240
buyPrice3 75.25 series BE
buyPrice4 75.15 surv_indicator -
buyPrice5 75.1 Todayopen 74.8
buyQuantity1 67 tradedDate 17APR2018
buyQuantity2 151 varMargin 100
buyQuantity3 25
buyQuantity4 100
buyQuantity5 50
5 Days
Volume
30 Days Chart
Volume
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 77.11 - 73.22
40 DMA 77.11 - 73.22
30 DMA 77.11 - 73.22
20 DMA 77.11 - 73.22
10 DMA 77.65 - 74.38
5 DMA 76.72 - 74.01
3 DMA 71.00 - 66.60
Fraction -
Result 150.85
Support 73.85
Resistance 77.50
Possible 76.05
Sell
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 80.40
R2 78.70
R1 76.75
S1 73.10
S2 71.40
S3 69.45
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 73.35 - 77 Wave1 77 - 73.35
Wave2 77 - 74.7443 Wave2 73.35 - 75.6057
Wave3 74.7443 - 80.65 Wave3 75.6057 - 69.7
Wave4 80.65 - 79.2557 Wave4 69.7 - 71.0943
Wave5 79.2557 - 82.9057 Wave5 71.0943 - 67.4443
85.16 65.19
WaveA 82.9057 - 81.5114 WaveA 67.4443 - 68.8386
WaveB 81.5114 - 83.7671 WaveB 68.8386 - 66.5829
WaveC 83.7671 - 81.5114 WaveC 66.5829 - 68.8386
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% 76.80 5.57% 73.55
9.02% 76.67 9.02% 73.68
14.60% 76.47 14.60% 73.88
23.60% 76.14 23.60% 74.21
38.20% 75.61 38.20% 74.74
50.00% 75.18 50.00% 75.18
61.80% 74.74 61.80% 75.61
76.40% 74.21 76.40% 76.14
78.60% 74.13 78.60% 76.22
85.40% 73.88 85.40% 76.47
94.43% 73.55 94.43% 76.80
200.00% 80.65 200.00% 69.70
194.43% 80.45 194.43% 69.90
185.40% 80.12 185.40% 70.23
178.60% 79.87 178.60% 70.48
176.40% 79.79 176.40% 70.56
161.80% 79.26 161.80% 71.09
150.57% 78.85 150.57% 71.50
138.20% 78.39 138.20% 71.96
127.20% 77.99 127.20% 72.36
114.60% 77.53 114.60% 72.82
105.57% 77.20 105.57% 73.15
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.)

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