September 30, 2016
Monthly charts NIFTY
This month has ended so let us how the charts look like.
- after 6 consecutive months of closing in positive, NF closes first time in negative
- formation of higher high higher low on monthly charts is intact
- support 8500
- stiff resistance around 9000 levels
- option writers do not expect 9000 to be crossed
- after 6 consecutive months of closing in positive, NF closes first time in negative
- formation of higher high higher low on monthly charts is intact
- support 8500
- stiff resistance around 9000 levels
- option writers do not expect 9000 to be crossed
How Goldman Sachs Lost $1.2 Billion of Libya’s Money
When Wall Street’s most aggressive bank took on the world’s most incendiary client, someone was going to make a killing.
On July 23, 2008, Kabbaj was in his room at the Corinthia, waiting anxiously for his mobile phone to ring. It finally did around 9 a.m., and he grabbed a pen and paper to take notes. On the line was Michael Daffey, a senior Goldman executive in London.
On July 23, 2008, Kabbaj was in his room at the Corinthia, waiting anxiously for his mobile phone to ring. It finally did around 9 a.m., and he grabbed a pen and paper to take notes. On the line was Michael Daffey, a senior Goldman executive in London.
Daffey praised Kabbaj’s work in Libya and said that after some negotiation, the bank was willing to guarantee him $9 million in pay. It was an astonishing sum, even at Goldman.
Kabbaj immediately asked for more. He knew he’d been instrumental in extracting an unusual amount of money from a highly unusual client. Who else on the planet could sell a billion dollars of derivatives to a regime whose theatrical despot slept in a tent under an all-female warrior guard?
Kabbaj immediately asked for more. He knew he’d been instrumental in extracting an unusual amount of money from a highly unusual client. Who else on the planet could sell a billion dollars of derivatives to a regime whose theatrical despot slept in a tent under an all-female warrior guard?
Read complete article at https://www.bloomberg.com/features/2016-goldman-sachs-libya
September 29, 2016
Market outlook
Daily charts
- trend is up on daily charts
- my reversal level for this trend is 8500 levels
- note today's 2% drop is big move
- VIX up 30%
- option writers do not expect 9000 to be crossed next series.
5 min charts
- break of initial range was sell signal
- cover on close
- those who shorted on break of 10am low and covered at close would have earned excellent profits
- trend is up on daily charts
- my reversal level for this trend is 8500 levels
- note today's 2% drop is big move
- VIX up 30%
- option writers do not expect 9000 to be crossed next series.
5 min charts
- break of initial range was sell signal
- cover on close
- those who shorted on break of 10am low and covered at close would have earned excellent profits
September 28, 2016
Market outlook
Daily charts
- trend is up on daily charts
- markets continue to trade in a big range
- immediate support 8700 and then 8500
- below 8500, I would consider trend reversal.
- trend is up on daily charts
- markets continue to trade in a big range
- immediate support 8700 and then 8500
- below 8500, I would consider trend reversal.
Hackers take control of TESLA car from miles away
With several months of in-depth research on Tesla Cars, we have discovered multiple security vulnerabilities and successfully implemented remote, aka none physical contact, control on Tesla Model S in both Parking and Driving Mode.
It is worth to note that we used an unmodified car with latest firmware to demonstrate the attack.
Where are the jobs? Welcome to jobless growth
Why is an economy apparently on the upswing not being able to generate enough new jobs? Welcome to jobless growth.
Every month, a million Indians become age-eligible to join the workforce, but the growth in jobs has not kept pace with the rising number of aspirants. The result: unemployment has been on the rise, despite India supposedly being one of the brighter spots in a slowing global economy.
The situation has only worsened since, thanks to weak industrial growth, a struggling agriculture sector with widespread drought, cost rationalisations in several sectors and the knock-on effect of a global slowdown. Also, traditionally labour-intensive industries are beginning to increasingly mechanise their operations. While it makes them more productive and profitable, it also shrinks job opportunities.
Many wonder why an economy supposedly growing at a rate of over 7 per cent is not creating enough jobs. Economists say this is because more work is now being done with fewer employees. "The economy is generating less jobs per unit of GDP," says D.K. Joshi, chief economist at ratings and research firm Crisil. Illustratively, in manufacturing, if 11 people were needed to execute a piece of work that generated Rs 1 million worth of industrial GDP a decade ago, today only six are needed. Joshi's verdict: "The economy has become less labour-absorbent."
Source: http://indiatoday.intoday.in/story/employment-scenario-job-crunch-jobless-growth-economy/1/647573.html
Decoding India’s jobless growth
Decoding India’s jobless growth
September 27, 2016
We are in a Big Fat Ugly Bubble
Now, look, we have the worst revival of an economy since the Great Depression. And believe me: We’re in a bubble right now. And the only thing that looks good is the stock market, but if you raise interest rates even a little bit, that’s going to come crashing down.
We are in a big, fat, ugly bubble. And we better be awfully careful. And we have a Fed that’s doing political things. This Janet Yellen of the Fed. The Fed is doing political — by keeping the interest rates at this level.
And believe me: The day Obama goes off, and he leaves, and goes out to the golf course for the rest of his life to play golf, when they raise interest rates, you’re going to see some very bad things happen, because the Fed is not doing their job.
The Fed is being more political than Secretary Clinton-said Donald Trump in the first Presidential Debate
Source: http://alphaideas.in/2016/09/27/big-fat-ugly-bubble/
We are in a big, fat, ugly bubble. And we better be awfully careful. And we have a Fed that’s doing political things. This Janet Yellen of the Fed. The Fed is doing political — by keeping the interest rates at this level.
And believe me: The day Obama goes off, and he leaves, and goes out to the golf course for the rest of his life to play golf, when they raise interest rates, you’re going to see some very bad things happen, because the Fed is not doing their job.
The Fed is being more political than Secretary Clinton-said Donald Trump in the first Presidential Debate
Source: http://alphaideas.in/2016/09/27/big-fat-ugly-bubble/
Market outlook
Daily charts
- trend is up on daily charts
- lower swing high formed around 8900
- immediate support 8700 and then 8500
- I am expecting rangebound movement for some more time
- option writings levels for next month 8700-9000 (tentative)
- trend is up on daily charts
- lower swing high formed around 8900
- immediate support 8700 and then 8500
- I am expecting rangebound movement for some more time
- option writings levels for next month 8700-9000 (tentative)
What if an alien looked like this?
How will you say hello or shake hands?
Relax... this is not an alien but a species from our own planet.
The individual above is called Tardigrade and is 0.5mm in length. But it is notable for some other reasons.
Tardigrades are some of the most resilient animals: they can survive extreme conditions that would be rapidly fatal to nearly all other known life forms. They can withstand temperature ranges from −272 °C to 150 °C, pressures about six times greater than those found in the deepest ocean trenches, ionizing radiation at doses hundreds of times higher than the lethal dose for a human, and the vacuum of outer space. They can go without food or water for more than 30 years, drying out to the point where they are 3% or less water, only to rehydrate, forage, and reproduce.
Read more about tardigrades here.
Song of creation / Nasadiya Sukta
Something I (an atheist) like reading every now and then... This is a translation. The original song is called Nasadiya Sukta (Hymn of Creation)... you can read the wiki post here.
Then even nothingness was not, nor existence,
There was no air then, nor the heavens beyond it.
What covered it? Where was it? In whose keeping?
Was there then cosmic water, in depths unfathomed?
Then there was neither death nor immortality
nor was there then the torch of night and day.
The One breathed windlessly and self-sustaining.
There was that One then, and there was no other.
Then even nothingness was not, nor existence,
There was no air then, nor the heavens beyond it.
What covered it? Where was it? In whose keeping?
Was there then cosmic water, in depths unfathomed?
Then there was neither death nor immortality
nor was there then the torch of night and day.
The One breathed windlessly and self-sustaining.
There was that One then, and there was no other.
September 26, 2016
Market outlook
Daily charts
- trend is up on daily charts
- today, markets closed 1.2% in negative
- AD was negative, VIX up 9%
- I am expecting rangebound movement for some more time
- support around 8500 is expected to hold this series
- trend is up on daily charts
- today, markets closed 1.2% in negative
- AD was negative, VIX up 9%
- I am expecting rangebound movement for some more time
- support around 8500 is expected to hold this series
Neowave analysis of NIFTY
....
As we argued, “c” can continue to develop as long as it holds above the 0-b line. Break below it, followed by full retracement of c leg of a-b-c, i.e. drop below 28462 (Nifty 8757), would mean the upward “c” leg is over, and a downward “d” leg has opened.
If “d” confirms, then it would be a downward leg which should be a “smaller” fall compared to “b”, i.e. it should not break the bottom of “b” at 28251 (Nifty 8688), to justify “Contracting” Triangle in the 3rd Corrective.
Remember, 3rd Corrective is always the last Corrective of any Complex Corrective development involving x-waves. We marked the larger move as “D” leg from Feb’16.
We are into 3rd leg or “c” leg of the last Corrective. Therefore, 2 or 4 more legs, depending on whether a Diametric or Triangle will ultimately develop inside the 3rd, are still pending. In a “contracting” environment, moves could be “tricky”.
We have already shown since a month ago, that the Nifty PE ratio is into a “Bubble Territory”. Under the circumstances, it would be better to be choosy, and avoid large commitments, and try to play what it available for the short term.
...
Read complete article at http://content.icicidirect.com/ULFiles/UploadFile_201692610468.asp
As we argued, “c” can continue to develop as long as it holds above the 0-b line. Break below it, followed by full retracement of c leg of a-b-c, i.e. drop below 28462 (Nifty 8757), would mean the upward “c” leg is over, and a downward “d” leg has opened.
If “d” confirms, then it would be a downward leg which should be a “smaller” fall compared to “b”, i.e. it should not break the bottom of “b” at 28251 (Nifty 8688), to justify “Contracting” Triangle in the 3rd Corrective.
Remember, 3rd Corrective is always the last Corrective of any Complex Corrective development involving x-waves. We marked the larger move as “D” leg from Feb’16.
We are into 3rd leg or “c” leg of the last Corrective. Therefore, 2 or 4 more legs, depending on whether a Diametric or Triangle will ultimately develop inside the 3rd, are still pending. In a “contracting” environment, moves could be “tricky”.
We have already shown since a month ago, that the Nifty PE ratio is into a “Bubble Territory”. Under the circumstances, it would be better to be choosy, and avoid large commitments, and try to play what it available for the short term.
...
Read complete article at http://content.icicidirect.com/ULFiles/UploadFile_201692610468.asp
ISRO scripts space history, successfully launches 8 satellites into orbit
In its longest-ever flight, the PSLV C-35, carrying India’s SCATSAT-1 meant for ocean and weather studies and seven other satellites including from the United States and Canada, on Monday lifted off from the spaceport in Sriharikota.
The launch marked PSLV’s longest mission spread over two hours and it is the first time that the rocket is putting its payloads in two different orbits.
The 44.4 metre tall PSLV rocket blasted off at 9.12 am and 17 minutes later injected SCATSAT-1 in orbit.
“SCATSAT-1 has been successfully injected in orbit,” Indian Space Research Organisation said.
The 371 kg SCATSAT, the primary satellite meant for weather forecasting, cyclone detection and tracking, was first injected in a Polar Sunsynchronous Orbit orbit while the seven others will be injected in a lower orbit after over two hours, the first time the rocket is putting its payloads in two different orbits.
The total weight of all the eight satellites onboard is about 675 kg.
Read more at http://www.rediff.com/news/report/isro-pslvc35-carrying-8-satellites-launched/20160926.htm
The launch marked PSLV’s longest mission spread over two hours and it is the first time that the rocket is putting its payloads in two different orbits.
The 44.4 metre tall PSLV rocket blasted off at 9.12 am and 17 minutes later injected SCATSAT-1 in orbit.
“SCATSAT-1 has been successfully injected in orbit,” Indian Space Research Organisation said.
The 371 kg SCATSAT, the primary satellite meant for weather forecasting, cyclone detection and tracking, was first injected in a Polar Sunsynchronous Orbit orbit while the seven others will be injected in a lower orbit after over two hours, the first time the rocket is putting its payloads in two different orbits.
The total weight of all the eight satellites onboard is about 675 kg.
Read more at http://www.rediff.com/news/report/isro-pslvc35-carrying-8-satellites-launched/20160926.htm
Hourly swing trading strategy for day traders
This is a simple strategy for day traders and is an adaptation of my monthly hi/lo swing strategy.
It uses no indicators - all trading is a game of probabilities; more analysis does not lead to better results.
Strategy: trade long on breakout above first hour's high with previous hour low as trailing SL.
Risk mgmt: Position sizing takes care of the risk and I recommend a risk per trade of 0.5%.
If you cannot control the risk in a trade, stay away from trading/ take up some other occupation.
Guidelines:
- use 5 min candlestick charts
- wait for completion of first hour candlestick i.e. 10 am
- mark the range formed so far (high low)
- these are your buy above / sell below levels.
- for a long trade, breakout bar close should be near the candlestick high.
- if long, SL is your previous hour's low and vice versa.
- trades to be closed by 3.30 or when your trailing stoploss is hit.
Note:
- sometimes, markets tend to trade within the first hour hi / lo range. In this case, take the first hour hi/ lo levels as breakout levels for the day.
- when a breakout happens, wait for completion of candlestick.
- above is important as a bar in progress can eventually form an hammer/ inverted hammer in which case trade should be ignored.
- this strategy can be used for cash and futures chart... just ensure liquidity is excellent.
- expect half the trades to fail (statistically).
Sample chart
It uses no indicators - all trading is a game of probabilities; more analysis does not lead to better results.
Strategy: trade long on breakout above first hour's high with previous hour low as trailing SL.
Risk mgmt: Position sizing takes care of the risk and I recommend a risk per trade of 0.5%.
If you cannot control the risk in a trade, stay away from trading/ take up some other occupation.
Guidelines:
- use 5 min candlestick charts
- wait for completion of first hour candlestick i.e. 10 am
- mark the range formed so far (high low)
- these are your buy above / sell below levels.
- for a long trade, breakout bar close should be near the candlestick high.
- if long, SL is your previous hour's low and vice versa.
- trades to be closed by 3.30 or when your trailing stoploss is hit.
Note:
- sometimes, markets tend to trade within the first hour hi / lo range. In this case, take the first hour hi/ lo levels as breakout levels for the day.
- when a breakout happens, wait for completion of candlestick.
- above is important as a bar in progress can eventually form an hammer/ inverted hammer in which case trade should be ignored.
- this strategy can be used for cash and futures chart... just ensure liquidity is excellent.
- expect half the trades to fail (statistically).
Sample chart
September 25, 2016
Rise of the machines: Boston Dynamics (owned by Google)
From their website:
Boston Dynamics builds advanced robots with remarkable behavior: mobility, agility, dexterity and speed. We use sensor-based controls and computation to unlock the capabilities of complex mechanisms. Our world-class development teams take projects from initial concept to proof-of-principle prototyping to build-test-build engineering, to field testing and low-rate production.
Organizations worldwide, from DARPA, the US Army, Navy and Marine Corps to Sony Corporation turn to Boston Dynamics for advice and for help creating the most advanced robots on Earth.
Boston Dynamics is a wholly owned subsidiary of Google, Inc.
Now some of their products... amazing technology / amazing videos
Boston Dynamics builds advanced robots with remarkable behavior: mobility, agility, dexterity and speed. We use sensor-based controls and computation to unlock the capabilities of complex mechanisms. Our world-class development teams take projects from initial concept to proof-of-principle prototyping to build-test-build engineering, to field testing and low-rate production.
Organizations worldwide, from DARPA, the US Army, Navy and Marine Corps to Sony Corporation turn to Boston Dynamics for advice and for help creating the most advanced robots on Earth.
Boston Dynamics is a wholly owned subsidiary of Google, Inc.
Now some of their products... amazing technology / amazing videos
September 24, 2016
Get Ready for Freeways That Ban Human Drivers
New rules of the road for robot cars coming out of Washington this week could lead to the eventual extinction of one of the defining archetypes of the past century: the human driver.
Human error is the cause of 94 percent of roadway fatalities, U.S. safety regulators say, and robot drivers never get drunk, sleepy or distracted.
Autonomous cars already have “superhuman intelligence” that allows them to see around corners and avoid crashes, said Danny Shapiro, senior director of automotive at Nvidia Corp., a maker of high-speed processors for self-driving cars.
“Long term, these vehicles will drive better than any human possibly can,” Shapiro said. “We’re not there yet, but we will get there sooner than we believe.”
Within five years, human driving could be outlawed in congested city centers like London, on college campuses and at airports.
The first driver-free zones will be well-defined and digitally mapped, giving autonomous cars long-range vision and a 360-degree view of their surroundings, Schondorf said. The I-5 proposal would start with self-driving vehicles using car-pool lanes and expand over a decade to robot rides taking over the road during peak driving times.“
“Problems with drivers not paying attention or getting sleepy or getting drunk are really ripe for autonomous to do a better job than humans,” said Ron Medford, director of safety at Google’s self-driving car program and former deputy administrator of the NHTSA.
With mobile devices an added distraction, U.S. highway fatalities rose 8 percent last year, the biggest increase in 50 years.
“Behind the wheel, we are only human and we are expected to screw up,” said Raj Rajkumar, co-director of the General Motors-Carnegie Mellon Autonomous Driving Collaborative Research Lab in Pittsburgh. “There will come a point in time where we should not be allowed to drive.”
Human error is the cause of 94 percent of roadway fatalities, U.S. safety regulators say, and robot drivers never get drunk, sleepy or distracted.
Autonomous cars already have “superhuman intelligence” that allows them to see around corners and avoid crashes, said Danny Shapiro, senior director of automotive at Nvidia Corp., a maker of high-speed processors for self-driving cars.
“Long term, these vehicles will drive better than any human possibly can,” Shapiro said. “We’re not there yet, but we will get there sooner than we believe.”
Within five years, human driving could be outlawed in congested city centers like London, on college campuses and at airports.
The first driver-free zones will be well-defined and digitally mapped, giving autonomous cars long-range vision and a 360-degree view of their surroundings, Schondorf said. The I-5 proposal would start with self-driving vehicles using car-pool lanes and expand over a decade to robot rides taking over the road during peak driving times.“
“Problems with drivers not paying attention or getting sleepy or getting drunk are really ripe for autonomous to do a better job than humans,” said Ron Medford, director of safety at Google’s self-driving car program and former deputy administrator of the NHTSA.
With mobile devices an added distraction, U.S. highway fatalities rose 8 percent last year, the biggest increase in 50 years.
“Behind the wheel, we are only human and we are expected to screw up,” said Raj Rajkumar, co-director of the General Motors-Carnegie Mellon Autonomous Driving Collaborative Research Lab in Pittsburgh. “There will come a point in time where we should not be allowed to drive.”
September 23, 2016
Smallcap Indices in All Time Highs and Outperforming Nifty!! Time to be Cautious and Selective !!
Nifty has done a strong move since the bottom in February 2016 at 6850-7000 where a lot of people on the street were sure about 6400.
We did expect a sharp bounce like it did in 2012. Some old posts mentioning it.
Although i expected a lot of resistance to come in at 8000-8300 but we have taken that out with ease and even digested events like Brexit.
Technically there is no reason to doubt the trend till 8540 is taken out. But the previous top at 9000-9100 should be a stiff resistance. Also a correction after such a rally is fine and it could also be timewise where markets remain sideways in a range for quite a few months.
Conclusion - Nifty is in a strong trend but a timewise correction is possible in coming months. Price wise can be confirmed post a dip below 8540.
Now comes the part which is a bit uncomforting is the solid rally by smallcaps/midcaps and micro caps. Also being focused on smallcaps/midcaps it has been a good enough time. But the moves have now shifted to stocks which are highly illiquid and seeing sudden bursts of 20-50% moves.
One of the reasons there has been not much update is I have been busy trading/recommending the microcaps/smallcaps as well as any mention of an illiquid name can make the stocks go dizzy in such conditions. Hopefully the action shifts to liquid large caps or midcaps and i ll get to update more. Focusing on Pharma/Fmcg sector.
Whenever I find myself trading a lot of microcaps i do get a bit uneasy making that quick money. The last time I got this uneasy did not end well for the markets in next 2 months. Was just a lucky timing as I did not act enough myself but luckily discipline helped.
Read more at http://www.nooreshtech.co.in/2016/09/smallcap-indices-in-all-time-highs-and-outperforming-nifty-time-to-be-cautious-and-selective.html
We did expect a sharp bounce like it did in 2012. Some old posts mentioning it.
Although i expected a lot of resistance to come in at 8000-8300 but we have taken that out with ease and even digested events like Brexit.
Technically there is no reason to doubt the trend till 8540 is taken out. But the previous top at 9000-9100 should be a stiff resistance. Also a correction after such a rally is fine and it could also be timewise where markets remain sideways in a range for quite a few months.
Conclusion - Nifty is in a strong trend but a timewise correction is possible in coming months. Price wise can be confirmed post a dip below 8540.
Now comes the part which is a bit uncomforting is the solid rally by smallcaps/midcaps and micro caps. Also being focused on smallcaps/midcaps it has been a good enough time. But the moves have now shifted to stocks which are highly illiquid and seeing sudden bursts of 20-50% moves.
One of the reasons there has been not much update is I have been busy trading/recommending the microcaps/smallcaps as well as any mention of an illiquid name can make the stocks go dizzy in such conditions. Hopefully the action shifts to liquid large caps or midcaps and i ll get to update more. Focusing on Pharma/Fmcg sector.
Whenever I find myself trading a lot of microcaps i do get a bit uneasy making that quick money. The last time I got this uneasy did not end well for the markets in next 2 months. Was just a lucky timing as I did not act enough myself but luckily discipline helped.
Read more at http://www.nooreshtech.co.in/2016/09/smallcap-indices-in-all-time-highs-and-outperforming-nifty-time-to-be-cautious-and-selective.html
September 22, 2016
September 21, 2016
Most engineers in India are unfit for employment
83% of Indian engineering graduates unfit for employment ... - LinkedIn
https://www.linkedin.com/.../20140727170657-92981527-83-of-indian-engineering-gra...
Jul 27, 2014 - According to my competency builder , an employee assessment service ... about 85 % of engineering graduates are unfit for employment.September 20, 2016
Market outlook
Daily charts
- trend is up on daily charts
- support formed around 8500
- fast break of 8500 will confirm reversal
- resistance 9000
- trend is up on daily charts
- support formed around 8500
- fast break of 8500 will confirm reversal
- resistance 9000
September 19, 2016
Market outlook
Daily charts
- trend is up on daily charts
- support 8500
- area between 8500-8600 to offer good support
- today, markets closed in positive, AD was flat.
- trend is up on daily charts
- support 8500
- area between 8500-8600 to offer good support
- today, markets closed in positive, AD was flat.
Neowave outlook on markets by Vivek Patil
....
Generally speaking, whenever there is a huge gap-down action, we cannot rule out some attempt to cover the gap-down area. Such attempt is normally expected within 3-4 days of the gap-down, and same was seen in the latter part of the week.
Last week we feared if gap-down area remains uncovered by the end of the week, then it could form into an “Island Reversal” pattern on the weekly chart, which has -ve implications.
While on Sensex the gap-down area was fully covered, both Nifty & Nifty Future could not fully cover their respective gap-down area. So, on Nifty/NF the Weekly Gap-down and Island remained intact.
....
Remember, we are still keeping both options, Diametric as well as Triangle as a pattern inside the 3rd Corrective. Triangle is generally tricky pattern to trade, as the legs begin to “contract” from “a” leg to “e”.
For rejecting the Triangle pattern, in favor of Diametric, Index should not only close confidently above last Monday’s gap-down area, but also move to a new high for the post Feb’16 “D” leg.
Under the circumstances, as we keep both options open, roughly watch the high-low of last week, at 28251-28779 (Nifty 8688-8848) as crucial levels for the fresh week.
...
Read more at http://content.icicidirect.com/ULFiles/UploadFile_2016919111249.asp
Generally speaking, whenever there is a huge gap-down action, we cannot rule out some attempt to cover the gap-down area. Such attempt is normally expected within 3-4 days of the gap-down, and same was seen in the latter part of the week.
Last week we feared if gap-down area remains uncovered by the end of the week, then it could form into an “Island Reversal” pattern on the weekly chart, which has -ve implications.
While on Sensex the gap-down area was fully covered, both Nifty & Nifty Future could not fully cover their respective gap-down area. So, on Nifty/NF the Weekly Gap-down and Island remained intact.
....
Remember, we are still keeping both options, Diametric as well as Triangle as a pattern inside the 3rd Corrective. Triangle is generally tricky pattern to trade, as the legs begin to “contract” from “a” leg to “e”.
For rejecting the Triangle pattern, in favor of Diametric, Index should not only close confidently above last Monday’s gap-down area, but also move to a new high for the post Feb’16 “D” leg.
Under the circumstances, as we keep both options open, roughly watch the high-low of last week, at 28251-28779 (Nifty 8688-8848) as crucial levels for the fresh week.
...
Read more at http://content.icicidirect.com/ULFiles/UploadFile_2016919111249.asp
Should the Government Devalue Rupee?
The commerce ministry is concerned over the continuous slowdown in exports. Contracting for the second month in a row, India's merchandise exports fell 0.3% to USD 23.5 billion in August on persistent weak demand in developed markets and subdued prices.
In a draft Cabinet note circulated earlier to seek views of different ministries, it has suggested that a mechanism be formulated to ensure the rupee-dollar exchange rate reflect the realistic value of the domestic currency. The ministry has argued that adjustments in exchange rate policy are needed as it is important to increase the competitiveness of the products.
Currently, Indian currency's real effective exchange rate (REER) is viewed as overvalued compared to several countries like Mexico, South Africa, Argentina and Brazil. The REER is the weighted average of a country's currency relative to an index or basket of other major currencies, adjusted for the effects of inflation. The weights are determined by comparing the relative trade balance of a country's currency against each country within the index. By this yardstick, the Indian rupee is overvalued.
Read more at https://www.equitymaster.com/tm/tm.asp?date=09/19/2016&title=Should-the-Government-Devalue-Rupee
In a draft Cabinet note circulated earlier to seek views of different ministries, it has suggested that a mechanism be formulated to ensure the rupee-dollar exchange rate reflect the realistic value of the domestic currency. The ministry has argued that adjustments in exchange rate policy are needed as it is important to increase the competitiveness of the products.
Currently, Indian currency's real effective exchange rate (REER) is viewed as overvalued compared to several countries like Mexico, South Africa, Argentina and Brazil. The REER is the weighted average of a country's currency relative to an index or basket of other major currencies, adjusted for the effects of inflation. The weights are determined by comparing the relative trade balance of a country's currency against each country within the index. By this yardstick, the Indian rupee is overvalued.
Read more at https://www.equitymaster.com/tm/tm.asp?date=09/19/2016&title=Should-the-Government-Devalue-Rupee
Elliott Wave Outlook of Nifty for 19 Sep 2016 Onward
Nifty opened huge gap up on Friday at 8780 and bounced sharply by 100 points to register day’s high 8847 but failed to sustain at higher levels and declined back by 100 points before closing 37 points up at 8779.
Friday, trading strategy was to buy 8900 if get in 8760-8778 range with 30 points stoploss expecting targets below 8688 but further advised to avoid this trade if Nifty opens above 8778. Nifty opened above 8778 and trade for the day was negated. Let’s have a fresh look at latest charts for further scenario.
Today I am covering move from 29 Feb 2016 low 6825 and previous waves counts are explained in my all time frames report Elliott Wave Counts of Nifty for All Time Frames as on 18 July 2016.
Read more at http://sweeglu.com/elliott-wave-outlook-of-nifty-for-19-sep-2016-onward/
Friday, trading strategy was to buy 8900 if get in 8760-8778 range with 30 points stoploss expecting targets below 8688 but further advised to avoid this trade if Nifty opens above 8778. Nifty opened above 8778 and trade for the day was negated. Let’s have a fresh look at latest charts for further scenario.
Today I am covering move from 29 Feb 2016 low 6825 and previous waves counts are explained in my all time frames report Elliott Wave Counts of Nifty for All Time Frames as on 18 July 2016.
Read more at http://sweeglu.com/elliott-wave-outlook-of-nifty-for-19-sep-2016-onward/
September 18, 2016
X47B - world's first autonomous military jet
The X-47B is a tailless jet-powered blended-wing-body aircraft capable of semi-autonomous operation and aerial refuelling.
The X-47B first flew in 2011, and as of 2015, its two active demonstrators have undergone extensive flight and operational integration testing, having successfully performed a series of land- and carrier-based demonstrations.
The X-47B was designed by Northrop Grumman for the US Navy.
Some important features:
- the plane is not a drone there being no pilot either on board or on ground. All decisions are taken by the on-board computer
- the plane can takeoff and land autonomously from a moving aircraft carrier
- the plane can manage touch and go landing on a moving aircraft carrier
- the plane is capable of autonomous mid air refuelling
- the plan can decide which airport to land if a particular strip is not available.
- the plane can understand human hand gestures (important in aircraft carriers).
Some videos... amazing:
The X-47B first flew in 2011, and as of 2015, its two active demonstrators have undergone extensive flight and operational integration testing, having successfully performed a series of land- and carrier-based demonstrations.
The X-47B was designed by Northrop Grumman for the US Navy.
Some important features:
- the plane is not a drone there being no pilot either on board or on ground. All decisions are taken by the on-board computer
- the plane can takeoff and land autonomously from a moving aircraft carrier
- the plane can manage touch and go landing on a moving aircraft carrier
- the plane is capable of autonomous mid air refuelling
- the plan can decide which airport to land if a particular strip is not available.
- the plane can understand human hand gestures (important in aircraft carriers).
Some videos... amazing:
Motivational video for those who aspire to be physically fit
How many "monkey bar" pull ups can you do? Most people can barely do one.
Remember, this is one of the most natural ways of building your arm muscles.
On a different note, monkeys and chimpanzees do this hundred times a day effortlessly.
Remember, this is one of the most natural ways of building your arm muscles.
On a different note, monkeys and chimpanzees do this hundred times a day effortlessly.
Some futures stocks analysed on 15 min charts
I will be studying and posting my analysis on 4 futures stocks 2-3 times a week. This is for your study and you can do similar study for whatever stocks you trade in.
RELCAPITAL - trend is down and will revert to buy on close above 580.
RELCAPITAL - trend is down and will revert to buy on close above 580.
What is Liquidity hunt? and stop hunting?
....... say you are from ABC institutional desk and you have goals to acquire 10,000,000 shares of Nifty Futures by today at a better net execution price. However market is bullish and there is no enough demand from the sellers as the market sentiment is highly bullish and buyers are dominating and it is practically impossible to get instant liquidity from the sellers.
One way is to acquire slowly and steadily from the market but the problem is you may not get a better effective net price. Alternatively one has to identify where could be the possible maximum sellers liquidity so that big players can drive the market towards the zone (also called as stop hunting) to and get the liquidity.
How by driving the Market Lower you get sellers liquidity?
There are various ways to manipulate liquidity. One of the easiest way is most of the intraday players/positional players have a habit of placing their stop loss at days low, days high, prev day high/low, weekly high/low zones. Possibly the buyers who entered in the market at the market open and the one who entered late seeing the breakout rally would believed that Current Day’s low or Prev Days High or 3 Day high as a potential support zone.
More over many participants those who are watching from outside who wants to enter shorts are the ones who wants markets to break those support zones........
Read complete article at http://www.marketcalls.in/trading-lessons/institutional-trader-gets-large-pool-liquidity.html
One way is to acquire slowly and steadily from the market but the problem is you may not get a better effective net price. Alternatively one has to identify where could be the possible maximum sellers liquidity so that big players can drive the market towards the zone (also called as stop hunting) to and get the liquidity.
How by driving the Market Lower you get sellers liquidity?
There are various ways to manipulate liquidity. One of the easiest way is most of the intraday players/positional players have a habit of placing their stop loss at days low, days high, prev day high/low, weekly high/low zones. Possibly the buyers who entered in the market at the market open and the one who entered late seeing the breakout rally would believed that Current Day’s low or Prev Days High or 3 Day high as a potential support zone.
More over many participants those who are watching from outside who wants to enter shorts are the ones who wants markets to break those support zones........
Read complete article at http://www.marketcalls.in/trading-lessons/institutional-trader-gets-large-pool-liquidity.html
Welcome to the dark net - real life thriller
Some excerpts
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Opsec is a fast talker when he’s onto a subject. His mind seems to race most of the time. Currently he is designing an autonomous system for detecting network attacks and taking action in response. The system is based on machine learning and artificial intelligence. In a typical burst of words, he said, “But the automation itself might be hacked. Is the A.I. being gamed? Are you teaching the computer, or is it learning on its own? If it’s learning on its own, it can be gamed. If you are teaching it, then how clean is your data set? Are you pulling it off a network that has already been compromised? Because if I’m an attacker and I’m coming in against an A.I.-defended system, if I can get into the baseline and insert attacker traffic into the learning phase, then the computer begins to think that those things are normal and accepted. I’m teaching a robot that ‘It’s O.K.! I’m not really an attacker, even though I’m carrying an AK-47 and firing on the troops.’ And what happens when a machine becomes so smart it decides to betray you and switch sides?”
*************************
When Opsec got to the campus, the details filled in. The system administrator—a friend of his—had been going through event logs of the previous week. Event logs are lines on a screen showing summaries of each new task given to a computer network, with a time stamp and a green or red dot indicating success or failure. Seeing a red dot, the administrator had zoomed in for more information. The failed task turned out to be an attempt from within the Company to deploy a piece of software companywide. Deployment of software throughout the entire network did sometimes occur—for instance, to install updates—but it was rare, and sufficiently important that the sender did not often make a mistake. In this case, the sender had omitted a single letter in the domain name to which the job was addressed—hence the failure. The associated software package was unlike anything the system administrator had seen before. He alerted the operations manager.
*************************
Here was the situation Opsec faced. The package no longer mattered, but the hack most certainly did. Someone had emerged from the Internet, slithered into the Company’s heart, and then disappeared. The specific vulnerability the attacker had exploited was still unknown, and was likely to be used again: he had established a back door, a way in. Some back doors are permanent, but most are short-lived. Possibly this one was already for sale on the black markets that exist for such information in obscure recesses of the Internet. Until Opsec could find and lock it, the back door constituted a serious threat. Opsec reviewed the basics with the Company’s managers. He said, Look, we’re in the Internet business. We know we’re going to get hacked. We have to assume, always, that our network is already owned. It is important to go slowly and stay calm. We will soon know how and when to lock the door. We will have to decide later if we should do more.
To me he said, “Also, relax. In the long run, the chance of survival always drops to zero anyway.” He did not say this to his client. It was not an insight the Company would have valued at the time. Even in the short run, as it turned out, the news would be alarming enough.
*************************
They knew exactly where they were going. First, using “bounce points” within the network to further obscure their presence, they went after the central domain controller, where they acquired their own administrative account, effectively compromising 100 million user names and passwords and gaining the ability to push software packages throughout the network. Second, and more important, the Chinese headed into the network’s “build” system, a part of the network where software changes are compiled and then uploaded to a content-distribution network for the downloading of updates to customers. In that position they acquired the ability to bundle their own software packages and insert them into the regular flow, potentially reaching 70 million personal computers or more. But, for the moment, they did none of that. Instead they installed three empty callback Trojans on three separate network computers and left them standing there to await future instructions. Opsec and his team concluded that the purpose was to lay the groundwork for the rapid construction of a giant botnet.
The botnet it could have created would have been huge. If the Chinese had breached other large Internet companies via the same payment-center route—and it seemed likely they had—the combined effect would have been the creation of by far the largest botnet ever seen, an Internet robot consisting of perhaps 200 million computers, all controlled by one small Chinese hacking team. Opsec had stumbled onto a very big thing. And its lack of use was the key. The only possible purpose, Opsec concluded, was that of a sleeper cell, lying in wait as a pre-positioned asset to be used as a last resort, like a nuclear weapon, in the event of an all-out cyber-war. The world certainly seems to be moving in that direction.
*************************
Read more at http://www.vanityfair.com/news/2016/09/welcome-to-the-dark-net
*************************
When Opsec got to the campus, the details filled in. The system administrator—a friend of his—had been going through event logs of the previous week. Event logs are lines on a screen showing summaries of each new task given to a computer network, with a time stamp and a green or red dot indicating success or failure. Seeing a red dot, the administrator had zoomed in for more information. The failed task turned out to be an attempt from within the Company to deploy a piece of software companywide. Deployment of software throughout the entire network did sometimes occur—for instance, to install updates—but it was rare, and sufficiently important that the sender did not often make a mistake. In this case, the sender had omitted a single letter in the domain name to which the job was addressed—hence the failure. The associated software package was unlike anything the system administrator had seen before. He alerted the operations manager.
*************************
Here was the situation Opsec faced. The package no longer mattered, but the hack most certainly did. Someone had emerged from the Internet, slithered into the Company’s heart, and then disappeared. The specific vulnerability the attacker had exploited was still unknown, and was likely to be used again: he had established a back door, a way in. Some back doors are permanent, but most are short-lived. Possibly this one was already for sale on the black markets that exist for such information in obscure recesses of the Internet. Until Opsec could find and lock it, the back door constituted a serious threat. Opsec reviewed the basics with the Company’s managers. He said, Look, we’re in the Internet business. We know we’re going to get hacked. We have to assume, always, that our network is already owned. It is important to go slowly and stay calm. We will soon know how and when to lock the door. We will have to decide later if we should do more.
To me he said, “Also, relax. In the long run, the chance of survival always drops to zero anyway.” He did not say this to his client. It was not an insight the Company would have valued at the time. Even in the short run, as it turned out, the news would be alarming enough.
*************************
They knew exactly where they were going. First, using “bounce points” within the network to further obscure their presence, they went after the central domain controller, where they acquired their own administrative account, effectively compromising 100 million user names and passwords and gaining the ability to push software packages throughout the network. Second, and more important, the Chinese headed into the network’s “build” system, a part of the network where software changes are compiled and then uploaded to a content-distribution network for the downloading of updates to customers. In that position they acquired the ability to bundle their own software packages and insert them into the regular flow, potentially reaching 70 million personal computers or more. But, for the moment, they did none of that. Instead they installed three empty callback Trojans on three separate network computers and left them standing there to await future instructions. Opsec and his team concluded that the purpose was to lay the groundwork for the rapid construction of a giant botnet.
The botnet it could have created would have been huge. If the Chinese had breached other large Internet companies via the same payment-center route—and it seemed likely they had—the combined effect would have been the creation of by far the largest botnet ever seen, an Internet robot consisting of perhaps 200 million computers, all controlled by one small Chinese hacking team. Opsec had stumbled onto a very big thing. And its lack of use was the key. The only possible purpose, Opsec concluded, was that of a sleeper cell, lying in wait as a pre-positioned asset to be used as a last resort, like a nuclear weapon, in the event of an all-out cyber-war. The world certainly seems to be moving in that direction.
*************************
Read more at http://www.vanityfair.com/news/2016/09/welcome-to-the-dark-net
September 16, 2016
Market outlook
Daily charts
- trend is up on daily charts
- today, markets rallied but eventually sold off
- so the gap has been filled
- immediate support 8600-8500
- for trend reversal, 8480 must break
- trend is up on daily charts
- today, markets rallied but eventually sold off
- so the gap has been filled
- immediate support 8600-8500
- for trend reversal, 8480 must break
September 15, 2016
Market outlook
Daily charts:
- trend is up on daily charts
- high chances of reversal
- immediate support 8600-8500
- price behaviour at above levels important
- trend is up on daily charts
- high chances of reversal
- immediate support 8600-8500
- price behaviour at above levels important
UPI - India lays foundation for a fintech revolution
India is setting a new global standard in fintech. A new instant online payments system, tied to national biometric identity data, launched in recent weeks. Together with an explosion in smartphone usage, this could help the world’s fastest-growing large economy skip traditional financial infrastructure like cash machines, debit cards and point-of-sales machines – speeding up a move to a cashless economy.
The so-called “Unified Payment Interface” is unlike anything available in China or the United States. It enables secure, real-time transfers from one person to another, or to a company. UPI enables individuals and businesses to manage money held across multiple accounts at various banks through a single mobile application – and not one that necessarily belongs to the customer’s own bank. Already 29 big lenders have signed up.
UPI has the power to turn every smartphone into a bank. It enables a user to pay for vegetables at a market stall and settle dues for goods bought online. It can also facilitate domestic remittances, allowing users to both send and receive money from friends and family within the country. The platform caps single transactions at 100,000 rupees – around $1,500 – but the limit on the number of transactions a user can make is up to the bank.
Read more at http://blogs.reuters.com/breakingviews/2016/09/14/india-lays-foundation-for-a-fintech-revolution
The so-called “Unified Payment Interface” is unlike anything available in China or the United States. It enables secure, real-time transfers from one person to another, or to a company. UPI enables individuals and businesses to manage money held across multiple accounts at various banks through a single mobile application – and not one that necessarily belongs to the customer’s own bank. Already 29 big lenders have signed up.
UPI has the power to turn every smartphone into a bank. It enables a user to pay for vegetables at a market stall and settle dues for goods bought online. It can also facilitate domestic remittances, allowing users to both send and receive money from friends and family within the country. The platform caps single transactions at 100,000 rupees – around $1,500 – but the limit on the number of transactions a user can make is up to the bank.
Read more at http://blogs.reuters.com/breakingviews/2016/09/14/india-lays-foundation-for-a-fintech-revolution
UBER launches driverless cars
What’s most striking about the effort, though, is that it is probably the first time that Uber will actually own physical assets.
Before beginning to deploy its self-driving cars, Uber neither employed drivers nor owned any cars, operating in a completely virtual manner. That doesn’t necessarily mean Uber’s operating costs were low — they spend money on everything from research and development to discounting worldwide to hiring lobbyists — but it did mean that Uber figured out a way to avoid adding drivers’ employee benefits and car ownership, maintenance and insurance to those costs.
That’s clearly all about to change.
Before beginning to deploy its self-driving cars, Uber neither employed drivers nor owned any cars, operating in a completely virtual manner. That doesn’t necessarily mean Uber’s operating costs were low — they spend money on everything from research and development to discounting worldwide to hiring lobbyists — but it did mean that Uber figured out a way to avoid adding drivers’ employee benefits and car ownership, maintenance and insurance to those costs.
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