Customised Proprietary Indicator template to identify Nifty Index reversals. The indicator looks at ratios of Highs and lows of specified candles and plot signals. In extreme volatility, there might be one bar repaint which is very rare. This indicator should be used for low volatility instruments only in the Daily charts. Fee Rs.2000 per Month with Datafeed and Template. Whatsapp: 7598155789
Wednesday, 28 September 2016
I havent posted any trading call for many days on MCX Crude oil:
It looks to me now one can short MCX CRUDE OIL around 3017-3025 with stoploss of 3090 target
2881, 2710 (reversal)
2881, 2710 (reversal)
VEDANTA
#3/10: VEDL;TGTs
43%BP-1@194.93
43%BP-2@197.38
TRAILSTOP@193.70
BP-3@197.91
EXIT@198.37
Exit all@Low/BP2/BP3/Exit
Likely reversal@202.37
TATA MOTORS
#2/10 : TATA MOTORS: Software results : BUY 533.30,Strong Buy 514.40, Buffer Buy 498.80 Targets: 43%@823.40, 57% @829.50 (55 % upside)
Tuesday, 27 September 2016
Pumping
Bitter enemies never agree on anything suspecting foul play.Every nation want to increase their market share.Crude oil unbalanced economies of oil producing nations and central banks of Industrialised Nations infused liquidity to keep their economies stable and ready to pump more.
So Pumping( Money into the system;pumping more oil for revenues) is the issue.
The common man still struggles to pump clean water.
The nations,UN / World bank should have the vision for next decade.
So Pumping( Money into the system;pumping more oil for revenues) is the issue.
The common man still struggles to pump clean water.
The nations,UN / World bank should have the vision for next decade.
Monday, 26 September 2016
In your trades, if you use STOPLOSS, excess LEVERAGE more than your affordability,it depends 0- 3 times, YOU WILL LOSE YOUR MONEY.
Greed and addition to excessive trades are qualities of LOSERS.
Sunday, 25 September 2016
If my plan on ADIDAS has to be executed,I have to cross check DAX INDEX high too. DAX EXITS as indicated by My Software are 11171.60, 11198.45
When both are in uptrend, the probability of hitting the target is very high.
Saturday, 24 September 2016
GERMANY: ADIDAS SHARE EXITS 158.50,161.00,162.22 Euro.
One can think of shorting @164.24 and 167.50 SL 172.47.
These are outcome of my software applied on low of 69.91
My request to OPEC and Oil producing countries:
No country anticipated the prices fall in my view and they are waging production /influential war to capture or stabilise their market share / kill other producers which will be of no use to the industry.They have to combine and form a research entity to find newer uses of petroleum to the common man that didnt spoil ecosystem.
Friday, 23 September 2016
JPMORGAN : My software results
LL | R1 | |
50.07 | 55.73 | |
11% | BUY | 58.46 |
19% | FOLLOW BUY | 57.77 |
11% | RT BUY 1 | 54.55 |
43% | RT BUY 2 | 53.64 |
26% | BF BUY | 51.49 |
11% | BP-1 | 76.45 |
19% | BP-2 | 77.23 |
TRAILSTOP | 75.79 | |
67%@Low of BP3/RE | BP-3 | 77.44 |
RE | 77.33 | |
3%@High of EXIT/RE | EXIT | 77.64 |
US OIL : FOR MANY MORE YEARS TO COME,US OIL WILL TRADE BETWEEN 38.99 - 60.42 AND IT WILL NEVER TRADE ABOVE 61$ TILL 2022.
38.99 |
40.60 |
42.24 |
43.91 |
45.61 |
47.35 |
49.12 |
50.92 |
52.76 |
54.63 |
56.53 |
58.46 |
60.42 |
Sunday, 18 September 2016
My software in full form; check
https://drive.google.com/file/d/0B6BH1nWa3iywVVV6bUxMTzJHNk0/view?usp=sharing
Thursday, 15 September 2016
New way of trading using Numbers and their inherent properties.
No Gann, No elliott wave principles. No reading of Fundamentals and technicals.
EV/EBITDA margins, focus on companies,their business models,
their growth stories,projections, blau, blau blau.
we define mass by units.Units are expressed by numbers.
The number study is called Mathematics.In MATHS, the numbers are grouped
by their properties.
I studied Maths purely on trading perspective.
I have identified three sets and have their own unique properties.
On combining these three sets, they converge and agree on certain points.
I concentrated on those points and tweaked to stock trading.
Based on the inputs a software is developed to identify inflection points or numbers.
They were evaluated and posted in this blog. The xpert money management system
has been worked out and installed.The main aspects are in the previous post.
The system is found to be effective when applied to stock of any country be it America,India,
China.Germany etc.
Hiring a CFA charter holder is unwanted as it looks to me.
EV/EBITDA margins, focus on companies,their business models,
their growth stories,projections, blau, blau blau.
we define mass by units.Units are expressed by numbers.
The number study is called Mathematics.In MATHS, the numbers are grouped
by their properties.
I studied Maths purely on trading perspective.
I have identified three sets and have their own unique properties.
On combining these three sets, they converge and agree on certain points.
I concentrated on those points and tweaked to stock trading.
Based on the inputs a software is developed to identify inflection points or numbers.
They were evaluated and posted in this blog. The xpert money management system
has been worked out and installed.The main aspects are in the previous post.
The system is found to be effective when applied to stock of any country be it America,India,
China.Germany etc.
Hiring a CFA charter holder is unwanted as it looks to me.
Xpert money management incorporated in the software. Evaluation done and looks better.
Aspects:
No stoploss
Periodic buying at lower levels.
Buying ends at previous strong support
Profit booking at periodic intervals.
95% profit booked before the actual target:
only 5% earmarked for actual target.
Leverage planned carefully without stretching to its full limit.
Broker will not call for margin support as own funds and leverage funds are complemented.
There are no long targets, min.10% and max. 100 %.
The trades are planned that there wont be booked loss at any point of time.
Financial instruments traded are quality companies with good growth.
No interest in commodities and forex.
No stoploss
Periodic buying at lower levels.
Buying ends at previous strong support
Profit booking at periodic intervals.
95% profit booked before the actual target:
only 5% earmarked for actual target.
Leverage planned carefully without stretching to its full limit.
Broker will not call for margin support as own funds and leverage funds are complemented.
There are no long targets, min.10% and max. 100 %.
The trades are planned that there wont be booked loss at any point of time.
Financial instruments traded are quality companies with good growth.
No interest in commodities and forex.
Wednesday, 14 September 2016
AAPL : BUY triggered 102.68 as per my post on 12th Sep, now bounced and trading above 111, patiently wait for 191 to book profits and exit at 196.76
APPLE INC | Recommend | |||||
Buy support | 102.68 | |||||
99.00 | ||||||
Target | 191.3232 | |||||
192.595 | ||||||
194.0451 | ||||||
196.7644 |
INDIA: YES BANK : My software results
5%
|
My software results on ; ALIBABA GROUP HLDG LTD
LL | R1 | R2 | R3 | R4 | R5 | R5 | R6 | R7 | |
57.25 | 63.50 | 86.53 | 104.52 | 118.29 | 142.43 | 200.41 | 249.09 | 413.32 | |
30% | BUY ABV | 65.67 | 92.06 | 107.31 | 122.59 | 149.33 | 207.12 | 255.83 | 427.78 |
20% | RT BUY 1 | 62.03 | 87.07 | 101.86 | 116.69 | 139.09 | 197.23 | 242.31 | |
20% | RT BUY 2 | 61.06 | 84.35 | 96.09 | 114.18 | 133.78 | 190.63 | 234.17 | |
30% | BF BUY | 58.77 | 80.08 | 91.64 | 111.65 | 128.35 | 184.05 | 230.53 | |
10% | TGT 1 | 83.95 | 101.40 | 114.76 | 138.18 | 194.43 | 241.66 | 400.99 | |
45% | TGT 2 | 84.70 | 102.31 | 115.79 | 139.41 | 196.16 | 243.81 | 404.56 | |
TRAILSTOP | 83.95 | 101.40 | 114.76 | 138.18 | 194.43 | 241.66 | 400.99 | ||
40% | EXIT | 85.34 | 103.08 | 116.66 | 140.46 | 197.64 | 245.65 | 407.61 | |
5% | RESIST | 86.53 | 104.52 | 118.29 | 142.43 | 200.41 | 249.09 | 413.32 |
INDIA: LIC HOUSING FINANCE - My software results
LL | R1 | R2 | R3 | R4 | R5 | |
389.50 | 533.43 | 582.82 | 693.09 | 780.97 | 1058.10 | |
30% | BUY ABV | 541.64 | 596.75 | 707.40 | 795.24 | 1079.27 |
20% | RT BUY 1 | 527.38 | 574.80 | 687.13 | 769.27 | |
20% | RT BUY 2 | 522.45 | 563.39 | 674.77 | 755.74 | |
30% | BF BUY | 517.36 | 551.71 | 662.33 | 748.17 | |
10% | TGT 1 | 565.44 | 672.42 | 757.67 | 1026.54 | |
45% | TGT 2 | 570.47 | 678.40 | 764.42 | 1035.68 | |
TRAILSTOP | 565.44 | 672.42 | 757.67 | 1026.54 | ||
35% | EXIT | 574.77 | 683.51 | 770.17 | 1043.48 | |
10% | RESIST | 582.82 | 693.09 | 780.97 | 1058.10 |
Tuesday, 13 September 2016
FB: My software results: All targets defined,Nice set up for a profitable ride to 152.65 and 168.22 as it stays above double resistance of 117.
LL | R1 | R2 | R3 | R4 | R5 | HL | R1 | R2 | R3 | R4 | R5 | |||
17.80 | 57.45 | 73.62 | 116.98 | 154.79 | 288.47 | 43.55 | 96.45 | 117.18 | 170.58 | 216.52 | 374.09 | |||
15% | BUY ABV | 59.11 | 77.78 | 120.83 | 158.59 | 300.52 | 15% | BUY ABV | 101.37 | 122.60 | 174.90 | 224.21 | 384.13 | |
25% | RT BUY 1 | 55.47 | 71.54 | 114.41 | 149.30 | 25% | RT BUY 1 | 94.49 | 114.91 | 164.86 | 213.14 | |||
25% | RT BUY 2 | 54.16 | 67.55 | 109.40 | 143.38 | 25% | RT BUY 2 | 89.51 | 109.47 | 158.74 | 206.04 | |||
35% | BF BUY | 52.26 | 63.55 | 104.43 | 140.09 | 35% | BF BUY | 85.42 | 104.26 | 154.80 | 198.55 | |||
10% | TGT 1 | 71.42 | 113.49 | 150.17 | 279.87 | 10% | TGT 1 | 113.69 | 165.49 | 210.07 | 362.93 | |||
45% | TGT 2 | 72.06 | 114.50 | 151.51 | 282.36 | 45% | TGT 2 | 114.70 | 166.97 | 211.93 | 366.16 | |||
TRAILSTOP | 71.42 | 113.49 | 150.17 | 279.87 | TRAILSTOP | 113.69 | 165.49 | 210.07 | 362.93 | |||||
35% | EXIT | 72.60 | 115.37 | 152.65 | 284.49 | 35% | EXIT | 115.57 | 168.22 | 213.53 | 368.92 | |||
10% | RESIST | 73.62 | 116.98 | 154.79 | 288.47 | 10% | RESIST | 117.18 | 170.58 | 216.52 | 374.09 |
Monday, 12 September 2016
My software results: INDIA TATA MOTORS
LL | R1 | R2 | R3 | R4 | R5 | HL | R1 | R2 | R3 | R4 | R5 | |||
137.00 | 227.04 | 258.62 | 334.83 | 396.52 | 597.70 | 266.00 | 381.52 | 421.96 | 518.69 | 596.17 | 843.84 | |||
15% | BUY ABV | 230.24 | 265.85 | 341.43 | 403.17 | 616.09 | 15% | BUY ABV | 391.19 | 431.92 | 526.02 | 609.29 | 859.05 | |
25% | RT BUY 1 | 223.02 | 254.21 | 330.59 | 388.28 | 25% | RT BUY 1 | 377.56 | 417.39 | 508.50 | 590.95 | |||
25% | RT BUY 2 | 220.37 | 246.64 | 322.03 | 378.68 | 25% | RT BUY 2 | 367.54 | 406.95 | 497.71 | 579.10 | |||
35% | BF BUY | 216.52 | 238.94 | 313.46 | 373.32 | 35% | BF BUY | 359.20 | 396.86 | 490.71 | 566.50 | |||
10% | TGT 1 | 250.70 | 326.02 | 382.91 | 584.16 | 10% | TGT 1 | 409.37 | 503.22 | 578.39 | 818.68 | |||
45% | TGT 2 | 253.14 | 327.73 | 388.12 | 585.04 | 45% | TGT 2 | 413.02 | 507.70 | 583.54 | 825.96 | |||
TRAILSTOP | 250.70 | 326.02 | 382.91 | 584.16 | TRAILSTOP | 409.37 | 503.22 | 578.39 | 818.68 | |||||
35% | EXIT | 255.05 | 330.20 | 391.04 | 589.44 | 35% | EXIT | 416.13 | 511.52 | 587.93 | 832.18 | |||
10% | RESIST | 258.62 | 334.83 | 396.52 | 597.70 | 10% | RESIST | 421.96 | 518.69 | 596.17 | 843.84 |
My Software results on TESLA MOTORS INC
LL | R1 | R2 | R3 | R4 | R5 | HL | R1 | R2 | R3 | R4 | R5 | |||
15.74 | 53.64 | 69.66 | 111.80 | 148.69 | 280.96 | 116.1 | 195.65 | 225.54 | 296.67 | 356.33 | 552.73 | |||
15% | BUY ABV | 55.30 | 73.41 | 115.36 | 152.32 | 291.86 | 15% | BUY ABV | 202.89 | 151.88 | 302.78 | 259.45 | 570.80 | |
25% | RT BUY 1 | 51.79 | 67.35 | 109.09 | 143.22 | 25% | RT BUY 1 | 121.66 | 143.63 | 289.53 | 247.86 | |||
25% | RT BUY 2 | 50.52 | 63.48 | 104.20 | 137.41 | 25% | RT BUY 2 | 116.25 | 137.74 | 281.40 | 137.41 | |||
35% | BF BUY | 48.68 | 59.60 | 99.35 | 134.19 | 35% | BF BUY | 111.70 | 132.25 | 276.14 | 131.31 | |||
10% | TGT 1 | 66.42 | 107.58 | 141.24 | 271.78 | 10% | TGT 1 | 218.52 | 289.53 | 347.91 | 539.95 | |||
60% | TGT 2 | 68.18 | 109.44 | 145.54 | 275.01 | 60% | TGT 2 | 220.76 | 290.39 | 348.78 | 541.02 | |||
TRAILSTOP | 66.42 | 107.58 | 141.24 | 271.78 | TRAILSTOP | 218.52 | 289.53 | 347.91 | 539.95 | |||||
20% | EXIT | 68.69 | 110.26 | 146.64 | 277.08 | 20% | EXIT | 222.42 | 292.57 | 351.40 | 545.09 | |||
10% | RESIST | 69.66 | 111.80 | 148.69 | 280.96 | 10% | RESIST | 225.54 | 296.67 | 356.33 | 552.73 |
APPLE INC: My software results and Recommend.
R1 | R2 | R3 | R4 | R5 | ||
11.29 | 45.07 | 59.61 | 99.00 | 134.22 | 259.78 | |
0.15 | BUY ABV | 46.64 | 63.37 | 102.68 | 137.70 | Buy abv |
0.25 | RT BUY 1 | 43.42 | 57.75 | 96.78 | 129.05 | |
0.25 | RT BUY 2 | 42.25 | 54.17 | 92.17 | 123.54 | |
0.35 | BF BUY | 40.58 | 50.59 | 87.61 | 120.49 | |
0.10 | TGT 1 | 56.95 | 95.44 | 127.27 | 252.26 | |
0.60 | TGT 2 | 58.35 | 96.90 | 131.38 | 254.28 | |
TRAILSTOP | 56.95 | 95.44 | 127.27 | 252.26 | ||
0.20 | EXIT | 58.79 | 97.63 | 132.37 | 256.19 | |
0.10 | RESIST | 59.61 | 99.00 | 134.22 | 259.78 | |
R1 | R2 | R3 | R4 | R5 | ||
55.52 | 116.93 | 139.46 | 196.76 | 244.93 | 407.65 | |
0.15 | BUY ABV | 119.25 | 145.24 | 202.33 | 250.45 | Buy abv |
0.25 | RT BUY 1 | 114.07 | 136.67 | 194.00 | 238.74 | |
0.25 | RT BUY 2 | 112.18 | 131.13 | 187.46 | 231.23 | |
0.35 | BF BUY | 109.43 | 125.53 | 180.93 | 227.05 | |
0.10 | TGT 1 | 134.78 | 191.32 | 235.44 | 397.82 | |
0.60 | TGT 2 | 136.50 | 192.59 | 239.74 | 399.01 | |
TRAILSTOP | 134.78 | 191.32 | 235.44 | 397.82 | ||
0.20 | EXIT | 137.53 | 194.05 | 241.55 | 402.02 | |
0.10 | RESIST | 139.46 | 196.76 | 244.93 | 407.65 | |
APPLE INC | Recommend | |||||
Buy support | 102.68 | |||||
99.00 | ||||||
Target | 191.3232 | |||||
192.595 | ||||||
194.0451 | ||||||
196.7644 |
Sunday, 11 September 2016
APPLE INC: My Software results.
R1 R2 R3 R4
11.34 45.18 59.75 99.18 133.71
15% BUY ABV 46.74 63.49 102.83 137.87
25% RT BUY 1 43.51 57.86 96.92 129.22
25% RT BUY 2 42.35 54.28 92.31 123.71
35% BF BUY 40.67 50.70 87.75 120.66
20% TGT 1 57.06 95.58 127.43 252.50
60% TGT 2 58.48 97.08 130.87 254.61
TRAILSTOP 57.06 95.58 127.43 252.50
20% EXIT 58.92 97.81 131.86 256.52
RESIST 59.75 99.18 133.71 260.12
11.34 45.18 59.75 99.18 133.71
15% BUY ABV 46.74 63.49 102.83 137.87
25% RT BUY 1 43.51 57.86 96.92 129.22
25% RT BUY 2 42.35 54.28 92.31 123.71
35% BF BUY 40.67 50.70 87.75 120.66
20% TGT 1 57.06 95.58 127.43 252.50
60% TGT 2 58.48 97.08 130.87 254.61
TRAILSTOP 57.06 95.58 127.43 252.50
20% EXIT 58.92 97.81 131.86 256.52
RESIST 59.75 99.18 133.71 260.12
Out of curiosity,I checked my Software with the prices of AAPL:
R1 R2
54.27 114.33 137.30
15% BUY ABV 117.42 143.21
25% RT BUY 1 112.27 134.70
25% RT BUY 2 110.40 129.20
35% BF BUY 107.67 123.65
20% TGT 1 132.84 189.01
60% TGT 2 134.39 190.00
TRAILSTOP 132.84 189.01
20% EXIT 135.40 191.43
Saturday, 10 September 2016
My predictive software:
When I was checking my software on NSE Nifty shares ,I wanted to check for Gold.
I was impressed on its results. PFB.
I was impressed on its results. PFB.
1048.00 1344.16 1512.18
15% BUY ABV 1367.01 1532.41
25% RT BUY 1 1340.45 1509.34
25% RT BUY 2 1322.98 1490.99
35% BF BUY 1305.06 1472.47
65% TGT1 1509.34 1629.97
35% EXIT 1512.18 1636.91.
1327.66 - Avg Buy price
1510.33 - Avg Sell price
182.67 - Profit
13.75 - Profit %
RT is price retrace,
BF is buffer.
Position sizing as % of total investment incorporated in the software.
As I use this tool for short term 1-3 month investment in High quality companies,I dont require a stoploss,in fact I dont want my money disappear.
I work on retracement after a breakout which I have seen( bull/bear fight), on breakout I buy small, on RT, I buy every stage RT 1,RT 2, BF.
Exits are planned carefully, I want to book profit before the price reach its saturation point.Here there are two stages below the target..
Case study:GOLD:
Here I can see the buy around 1367 and the software recommends RT buys at 1340,1322 and BF buy at 1305.Actually the price retraced to 1302.
Now the software says exit 65% at 1509.34 and 35% at 1512.18.
This software is designed for longs only no short trades as Cash market Shares, no need to start,just exit and wait for good buys,stay with cash.
Case study: AXIS BANK.(India)
364.00 546.64
15% BUY ABV 560.70
25% RT BUY 1 543.73
25% RT BUY 2 532.63
35% BF BUY 521.28
65% TGT1 653.12
35% EXIT 655.20.
Here it shows a buy abv 560.70 and asks us to buy RT-1,2 and BF. After start buying 560.70, the price retraced to 543,532,and 521. The low it made was 518.60.It brilliantly captured lows.
Now wait for targets to achieve.
535.65 : buy avg
653.85 : sell avg
118.20 : profit per share
22% : profit in percentage
I will come up with new case studies whenever required.
Friday, 9 September 2016
COMMODITIES: RANGE BOUND PRICES
OIL has to break above 54$ and Gold has to go below 1298 for any new ideas.
Until then I am looking at new bottom for Oil and new high for Gold
Until then I am looking at new bottom for Oil and new high for Gold
Thursday, 8 September 2016
In this bull market, I had given Sell Idea of INFY Aug last week
Infosys Technologies: My calculator shows 965
My New calculator for price projections:TATA MOTORS.It displays the average of the values obtained from three different high end formulas.
426.33 | 426.93 | 517.26 | 522.62 | 594.45 | 599.70 | 842.61 | 845.10 | |||||||
265.80 | 265.80 | 265.80 | 265.80 | |||||||||||
427.88 | 427.05 | 525.39 | 521.75 | 596.40 | 596.85 | 836.45 | 841.38 | |||||||
R1 | R2 | R3 | R4 | |||||||||||
265.80 | 427.05 | 521.75 | 596.85 | 841.38 |
Wednesday, 7 September 2016
My equation on DOW INDEX
R-BAND:
HIGH:18725
LOW: 18663
If DJIA moves above 18725, the next:
R-BAND:
HIGH:19492
LOW: 19434.
The DJIA
S-BAND;
HIGH :17523
LOW:17472
HIGH:18725
LOW: 18663
If DJIA moves above 18725, the next:
R-BAND:
HIGH:19492
LOW: 19434.
The DJIA
S-BAND;
HIGH :17523
LOW:17472
Tuesday, 6 September 2016
I am astonished to see the pattern in 52 week low prices of NIFTY 50 (so far I have checked 10 companies)
It didnt matter which companies they are? which sectors they belong to ?
Say let it be Banks( Axis,Yes bank) Autos (TATA Motors,Maruti Suzuki),Manufacturing ( BHEL,Hindalco) or Commodities (GOLD).
I have checked this pattern and I have derived an equation which gives 2 numbers which could be the high and low of strong BUYs or a Strong SELLs.
I will give a clear example on one index and one commodity.
INDIA NIFTY;
9069-9097 strong sell shows a strong buy at 6886-6829 which in turn shows (intermediate Buy /Sell ignored) 11689 -11873.
GOLD:
BUYs 1044 - 1055 shows strong sell at 1636-1666 ( ignoring intermediate Buy/Sell).
6825 is low of India Nifty.
1666 is the expected high of Gold as of now.
My equation shows 6824 is related to 1666.
1055 is upper buy of Gold
9110 was the lifetime high of India Nifty.
My equation shows 1055 is related to 9034.
I am right now working on the possible highs of Nifty 50 stocks.
Say let it be Banks( Axis,Yes bank) Autos (TATA Motors,Maruti Suzuki),Manufacturing ( BHEL,Hindalco) or Commodities (GOLD).
I have checked this pattern and I have derived an equation which gives 2 numbers which could be the high and low of strong BUYs or a Strong SELLs.
I will give a clear example on one index and one commodity.
INDIA NIFTY;
9069-9097 strong sell shows a strong buy at 6886-6829 which in turn shows (intermediate Buy /Sell ignored) 11689 -11873.
GOLD:
BUYs 1044 - 1055 shows strong sell at 1636-1666 ( ignoring intermediate Buy/Sell).
6825 is low of India Nifty.
1666 is the expected high of Gold as of now.
My equation shows 6824 is related to 1666.
1055 is upper buy of Gold
9110 was the lifetime high of India Nifty.
My equation shows 1055 is related to 9034.
I am right now working on the possible highs of Nifty 50 stocks.
Monday, 5 September 2016
Sunday, 4 September 2016
Saturday, 3 September 2016
AXIS BANK; Buy on dips till 592 SL575 TGT 683
1:5 Leve: 5.00 L :836 Sh: 683-598(avg pr)=85*836=71k- (brkg+tax+Int)17K=54K prft on 1 L inv.
Friday, 2 September 2016
TATA MOTORS: BUY hold for 3 months for 15 % return ; target price : 626
https://www.tradingview.com/i/dwfD11QK/
Thursday, 1 September 2016
XAUUSD: TREND-LINES ; It could be 1302 and not 1298.
Hedging held and the same quantity bought @ 1310. Little nervous.
While 1367 - 1298 was my idea, it could be 1302, drawing lines may not be precise by
hand.While the Sell reaches my buy level,hedging will be released, while my LT TGT intact.
While 1367 - 1298 was my idea, it could be 1302, drawing lines may not be precise by
hand.While the Sell reaches my buy level,hedging will be released, while my LT TGT intact.
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