By the numbers: Stock market collapses on Christmas Eve, heads for worst December ever

Image result for By the numbers: Stock market collapses on Christmas Eve, heads for worst December everThe stock market is ending the year on quite the ugly note. Here is where we stand statistically:

MAJOR INDEXES:

  • S&P 500 closed down -2.71% Monday for its seventh negative day in 8 and its worst day since Dec. 4, when the S&P lost -3.24%
  • Until Monday, the Dow & S&P 500’s worst Christmas Eve ever was back in 1985, when they fell 0.63% and 0.69%, respectively
  • S&P hit a new 52-week low Friday of 2,351.10, its lowest level back to April 2017
  • MTD: S&P is down -14.82% on pace for its worst December ever back to back-tested inception in 1928, with the next worst December in 1931 when the S&P lost -14.53%, and its worst month since October 2008 when the S&P lost -16.94%
  • YTD: S&P is down -12.06% in 2018 on pace for its worst year since 2008 when the S&P lost -38.49%
  • Since Record: S&P is 20.06% below its intraday all-time high of 2,940.91 from Sept. 21 closing in bear market levels
  • The CBOE Volatility Index VIX hit a high so far today of 36.10, its highest level since Feb. 9, when the VIX hit a high of 41.06
  • Russell 2K small caps closed down -1.95% today for their 13th negative day in 14, hitting a new 52-week low today of 1,266.92
  • MTD: Small caps are down -17.37% MTD on pace for their worst month since October 2008, when small caps lost -20.90%
  • YTD: Small caps are down -17.49% YTD on pace for their worst year since 2008, when small caps lost -34.8%
  • Since Record: Small caps are 27.28% below their intraday all-time high of 1,742.09 from Aug. 31, closing in bear market levels
  • Dow closed down -2.91% today for its sixth negative day in 7 and its worst day since Dec. 4, when the Dow lost -3.1%
  • MTD: Dow is down -14.67% MTD, on pace for its worst month since Oct. 10, 2008, when the Dow lost -18.15% and on pace for its worst December performance since 1931, when the Dow lost -17.01%
  • YTD: Dow is down -11.84% in 2018, on pace for its worst year since 2008 when the Dow lost -33.84%
  • The Dow hit a new 52-week low today of 21,792.20, its lowest level since September 2017
  • Since Record: Dow is 19.14% below its intraday all-time high of 26,951.81 from Oct. 3, closing in correction levels
  • NASDAQ closed down -2.21% today for its seventh negative day in 8
  • MTD: NASDAQ is down -15.52% on pace for its worst month since October 2008, when the NASDAQ lost -17.73%
  • YTD: NASDAQ is down -10.29% YTD, on pace for its worst year since 2008, when the NASDAQ lost -40.54%
  • The NASDAQ hit a new 52-wk low today of 6,190.17, its lowest level back to August 2017
  • Since Record: NASDAQ is 23.9% below its intraday all-time high of 8,133.3 from Aug. 30, closing in bear market levels

SECTORS:

  • Sectors: 11 out of 11 sectors were negative today, led by Utilities down -4.27%, turning in their worst day since Aug. 8, 2011, when the sector lost -5.47%
  • 10 out of 11 sectors closed in correction levels or worse today:
  • Energy — 31.24% below their May 21 52-week high, closing in bear market levels
  • Materials — 26.15% below their Jan. 26 record close, closing in bear market levels
  • Financials — down 26.09% from their Jan. 26 52-week high, closing in bear market levels
  • Industrials — 25.23% below their Jan. 26 record close, closing in bear market levels
  • Tech — 24.13% below their Oct. 3 record close, closing in bear market levels
  • Consumer Discretionary — 22.99% below their Sept. 27 record close, closing in bear market levels
  • Communication Services — 22.61% below their Feb. 1 52-week high, closing in bear market levels
  • Consumer Staples — down 17.29% from their Jan. 26 52-week high close
  • Health Care — down 15.63% from its Oct. 1 record close
  • Real Estate — down -12.76% from its 52-week closing high
  • The least negative sector today was Communication Services — down -2.02% today
  • Sectors MTD: 11 out of 11 sectors are negative MTD, led by Energy down -18.1% on pace for its worst month ever through our history back to 1998, the next worst month is October 2008, when Energy lost -18.01%
  • The least negative sector MTD is Utilities, down -6.76%
  • Sectors YTD: 11 out of 11 sectors are negative YTD, led by Energy, down -25.31% YTD
  • Note all the S&P sectors have not closed in negative territory for the year since 200
  • The most positive sector YTD is Utilities, down -2.1%, closely followed by Health Care, down -2.31%

OTHER MARKETS:

  • Gold (FEB) has hit a high so far today of 1,273, its highest level since Jun. 25, when gold traded as high as 1,274.4
  • WTI (FEB) has hit a low so far today of 44.10, its lowest level since July 11, 2017, when WTI traded as low as 43.83
  • MTD: WTI is down -13.37%, on pace for its third straight negative month for the first time since June 2017 and its 4-month losing streak
  • QTD: WTI is down -39.82%, on pace for its worst quarter since Q4 2014, when WTI lost -41.56%
  • YTD: WTI is down -27.06% on pace for its worst year since 2015, when WTI lost -30.47%
  • Brent (FEB) has hit a low so far today of 51.83, its lowest level since Aug. 31, 2017, when Brent traded as low as 50.56
  • Dollar index is trading down -0.48%, on pace for its third negative day in 4
  • MTD: Dollar index is down -0.80%, on pace for its first negative month in 3
  • YTD: Dollar index is up 4.74%, on pace for its fifth positive year in 6
  • US 2-year note yielding 2.5927% vs last Friday’s close of 2.643%, hitting a low today of 2.589%, its lowest level since Aug, 22, when the 2-year yielded as low as 2.587%
  • US 5-yr note yielding 2.5927%, yielding about equal to the 2-year at 2.5927%

[“source-cnbc”]

The worst gadgets of 2016

016 was a year in which the fates seemingly asked, “Oh, you think that’s bad? Here, hold my beer.” We lost a Prince but gained a nacho-cheese-flavored, would-be king. We saw drones that couldn’t stop falling out of the sky, Snapchat filters that only a racist uncle could love and more poorly executed gadget gimmicks than you can shake a selfie stick at. Here are some of the cringe-worthiest consumer products we had the misfortune of covering this year.

GALLERY: THE WORST GADGETS OF 2016 | 8 PHOTOS

  • +4

Check out all of Engadget’s year-in-review coverage right here.

In this article: apple, av, bestworst2016, gadgetry, gadgets, gear, lenovo, losers2016, mobile,personal computing, personalcomputing, services, wearables, year-in-review, yir2016
By Andrew Tarantola@terrortola
Andrew Tarantola has lived in San Francisco since 1982 and has been writing clever things about technology since 2011. When not arguing the finer points of portable vaporizers and military defense systems with strangers on the Internet, he enjoys tooling around his garden, knitting, and binge watching anime.
[“source-ndtv”]

The 7 Worst site visitors Bottlenecks in India, in line with Ola

The 7 Worst Traffic Bottlenecks in India, According to Ola

An Olympic long-distance runner achieves quicker speeds than any our cars do in an Indian metro, taxi aggregator Ola’s research data derived out of its vehicular fleet well-knownshows.

Ola has extrapolated records collected over the past six months on metropolis transportation stylesthroughout the u . s . to expose the seven worst site visitors bottlenecks inside the united states of america.

between 9am and 12 noon, whilst most of the people travel to their places of work, the common speedstays at 19kmph Ola stated. the lowest common speed stands at just 18kmph, while commuters go backhome, between 6pm and 9pm. The pleasant time to travel is between 3am and 6am, while the topaverage pace of Indian visitors is 33kmph.

throughout the seven metros, the worst visitors bottlenecks are faced in Domulur and Silk Board in Bengaluru, Park road and Shyambazaar in Kolkata, Charminar in Hyderabad, and Powai and Saki Naka in Mumbai.

The fastest average vehicular movement across the top seven metros is witnessed in Delhi and Pune, withan average velocity of 23kmph – slower than Ethiopian lengthy distance runner Kenenisa Bekele’s 5,000 metre run in 2004.

Chennai, Mumbai, and Hyderabad have common speeds of 21, 20 and 19kmph respectively, even asBengaluru and Kolkata have the slowest average speeds, at 18 and 17kmph respectively.

Ola’s vehicle fleet, gift across 100 towns, relays rich records in actual-time, supporting it demand and plan inventory higher, stated Pranay Jivrajka, COO at Ola.

Ola_trafficinsights_body.jpgOla Insights can be useful in addressing vital issues like de-congestion, citymaking plans, and visitors control, he delivered.

we’re running with the government at multiple tiers to put this rich information to use over the long time for improving the state of mobility within the towns we stay in.”

Ola had currently launched its ‘CarPool’ feature in Delhi NCR, allowing citizens to pool rides the usage oftheir non-public cars via the mobile app.

download the devices 360 app for Android and iOS to live up to date with the trendy tech news, productreviews, and different offers on the popular mobiles.

Tags: Apps, Bengaluru, Chennai, Delhi, Hyderabad, India, net, Kolkata, Metros, Mumbai, Ola, Ola Insights, Pune, research, traffic

Researchers advocate concept on why touchscreen controls in cell video games are the worst

I know we’re purported to be all performed talking approximately Flappy fowl, but I think it’s justified tocarry it up whilst it seems in a research paper approximately why video games like Flappy hen are sotough — and so irritating. seems the controls are fundamentally horrific.

That won’t come as a surprise to — well, all and sundry. irritated Birds and Neko Atsume worksatisfactory, however action games on cell have a tendency to suffer from unresponsive controls. And itturns out you can best blame the developer so much.

Researchers at Aalto college in Finland, probably after demise for the ten millionth time in Flappy chookand pledging to find a manner to justify their failure scientifically, show in a brand new paper that more than a few of things integrate to make controls unreliable.

we are able to ultimately provide an explanation for why games that require correct timing are annoyingly difficult on touchscreens,” stated co-author Antti Oulasvirta in a news launch accompanying the paper.

touchmax

First: “customers can not precisely manipulate how excessive they maintain their finger,” which isn’t the case with a bodily button, some thing you maintain physical contact with. This introduces variability in timing.

second: “the timing of the sensor event is uncertain.” A participant can’t reliably inform whilst the touchscreen will truly sign up a hint. Is it whilst the finger makes the slightest contact? Is it whilst it passesa few different threshold? further variability is delivered.

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1/3: latency is unpredictable within video games and apps. every now and then a registered contact will take impact quickly, every so often now notdepending on a number of things, only a few of which can be underneath the manipulate of the game dressmaker. more variability!
There are a few solutions: minimizing and regularizing latency, for one component, is always an awesomepractice. And through making touch occasions simplest take location at a suretouchmaximum” threshold, reliability and accuracy have been improved and mistakes charges dropped by means of ninepercentage. As for finger heightregrettably, there doesn’t seem like an answer for that.

as a minimum we’ve got a higher deal with on the problem. For now, keep on with real buttons whileyou can.

The paper, by means of Oulasvirta and Byungjoo Lee, can be presented at the affiliation for Computingequipment’s pc-Human interplay conference subsequent month.