| I find this data from www.nseindia.com.............. AS ON |
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| companyName |
Bank of
Maharashtra |
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| symbol |
MAHABANK |
|
closePrice |
0 |
|
| LastUpdateTime |
17-APR-2018
10:56:47 |
|
cm_ffm |
473.6 |
|
| Last Price |
14.35 |
|
css_status_desc |
Listed |
|
| change |
0.05 |
|
deliveryQuantity |
1,59,312 |
|
| pChange |
0.35 |
|
deliveryToTradedQuantity |
47.91 |
|
| dayHigh |
14.4 |
|
exDate |
08-JUN-17 |
|
| dayLow |
14.25 |
|
extremeLossMargin |
5 |
|
| cm_adj_high_dt |
04-MAY-17 |
|
faceValue |
10 |
|
| cm_adj_low_dt |
26-MAR-18 |
|
indexVar |
- |
|
| high52 |
40.75 |
|
isExDateFlag |
[] |
|
| low52 |
13.35 |
|
isinCode |
INE457A01014 |
|
| OPEN Price |
14.3 |
|
lastPrice |
14.35 |
|
| totalBuyQuantity |
4,03,455 |
|
marketType |
N |
|
| totalSellQuantity |
3,86,380 |
|
ndEndDate |
- |
|
| totalTradedValue |
17.68 |
|
ndStartDate |
- |
|
| totalTradedVolume |
[] |
|
purpose |
ANNUAL
GENERAL MEETING |
| quantityTraded |
3,32,504 |
|
recordDate |
- |
|
| priceBand |
20 |
|
secDate |
16APR2018 |
|
| pricebandlower |
11.45 |
|
securityVar |
7.92 |
|
| pricebandupper |
17.15 |
|
sellPrice1 |
14.35 |
|
| previousClose |
14.3 |
|
sellPrice2 |
14.4 |
|
| adhocMargin |
- |
|
sellPrice3 |
14.45 |
|
| applicableMargin |
12.92 |
|
sellPrice4 |
14.5 |
|
| averagePrice |
14.31 |
|
sellPrice5 |
14.55 |
|
| basePrice |
14.3 |
|
sellQuantity1 |
16647 |
|
| bcEndDatebcEndDate |
[] |
|
sellQuantity2 |
17454 |
|
| bcStartDate |
10-JUN-17 |
|
sellQuantity3 |
18844 |
|
| buyPrice1 |
14.25 |
|
sellQuantity4 |
16434 |
|
| buyPrice2 |
14.2 |
|
sellQuantity5 |
14930 |
|
| buyPrice3 |
14.15 |
|
series |
EQ |
|
| buyPrice4 |
14.1 |
|
surv_indicator |
- |
|
| buyPrice5 |
14.05 |
|
Todayopen |
14.3 |
|
| buyQuantity1 |
12139 |
|
tradedDate |
17APR2018 |
|
| buyQuantity2 |
8062 |
|
varMargin |
7.92 |
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| buyQuantity3 |
6230 |
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| buyQuantity4 |
26943 |
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| buyQuantity5 |
12658 |
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| DMA - Direct
market access |
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| 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. |
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| 50 DMA |
18.33 |
- |
17.65 |
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| 40 DMA |
18.33 |
- |
17.65 |
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| 30 DMA |
18.33 |
- |
17.65 |
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| 20 DMA |
18.15 |
- |
17.48 |
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| 10 DMA |
17.01 |
- |
16.34 |
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| 5 DMA |
16.97 |
- |
16.27 |
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| 3 DMA |
14.82 |
- |
14.23 |
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| Fraction - |
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| Result |
28.68 |
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| Support |
14.28 |
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| Resistance |
14.58 |
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| Possible |
14.38 |
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Buy |
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| If Possible
Buy is found nearer to Resistance sale it for intraday |
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| Pivot Point - |
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| 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. |
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| R3 |
14.73 |
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| R2 |
14.57 |
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| R1 |
14.43 |
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| S1 |
14.13 |
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| S2 |
13.97 |
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| S3 |
13.83 |
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| Elliott wave - |
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| 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 |
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| For Up side moves points are |
- |
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For Down side
moves points are |
- |
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| Wave1 |
14.1 - 14.4 |
|
Wave1 |
14.4 - 14.1 |
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| Wave2 |
14.4 - 14.2146 |
|
Wave2 |
14.1 - 14.2854 |
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| Wave3 |
14.2146 - 14.7 |
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Wave3 |
14.2854 - 13.8 |
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| Wave4 |
14.7 - 14.5854 |
|
Wave4 |
13.8 - 13.9146 |
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| Wave5 |
14.5854 - 14.8854 |
|
Wave5 |
13.9146 - 13.6146 |
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|
15.07 |
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|
13.43 |
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| WaveA |
14.8854 - 14.7708 |
|
WaveA |
13.6146 - 13.7292 |
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| WaveB |
14.7708 - 14.9562 |
|
WaveB |
13.7292 - 13.5438 |
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| WaveC |
14.9562 - 14.7708 |
|
WaveC |
13.5438 - 13.7292 |
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| FIBONACCI - |
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| 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 |
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| For Up side moves points are |
- |
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For Down side
moves points are |
- |
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| 5.57% |
14.38 |
|
5.57% |
14.12 |
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| 9.02% |
14.37 |
|
9.02% |
14.13 |
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| 14.60% |
14.36 |
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14.60% |
14.14 |
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| 23.60% |
14.33 |
|
23.60% |
14.17 |
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| 38.20% |
14.29 |
|
38.20% |
14.21 |
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| 50.00% |
14.25 |
|
50.00% |
14.25 |
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| 61.80% |
14.21 |
|
61.80% |
14.29 |
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| 76.40% |
14.17 |
|
76.40% |
14.33 |
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| 78.60% |
14.16 |
|
78.60% |
14.34 |
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| 85.40% |
14.14 |
|
85.40% |
14.36 |
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| 94.43% |
14.12 |
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94.43% |
14.38 |
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| 200.00% |
14.70 |
|
200.00% |
13.80 |
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| 194.43% |
14.68 |
|
194.43% |
13.82 |
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| 185.40% |
14.66 |
|
185.40% |
13.84 |
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| 178.60% |
14.64 |
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178.60% |
13.86 |
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| 176.40% |
14.63 |
|
176.40% |
13.87 |
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| 161.80% |
14.59 |
|
161.80% |
13.91 |
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| 150.57% |
14.55 |
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150.57% |
13.95 |
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| 138.20% |
14.51 |
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138.20% |
13.99 |
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| 127.20% |
14.48 |
|
127.20% |
14.02 |
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| 114.60% |
14.44 |
|
114.60% |
14.06 |
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| 105.57% |
14.42 |
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105.57% |
14.08 |
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| Williams %R - |
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| 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. |
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| %R={high_{Ndays}-close_{today} \over
high_{Ndays}-low_{Ndays}}\times -100} |
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| %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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