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Adobe XD Portrait UI UX Design list

Adobe XD Portrait UI UX Design list:
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submitted by AdProfessional9918 to u/AdProfessional9918 [link] [comments]

on the fakeness of the internet

funny to see that subject pop up again. it was what drove me insane enough to find this sub in the first place.
at any rate, the problem is not the bots. I thought it was, but those are just part of the parasitic ecosystem.
but to get that, first we need to take a few steps back on web history, ad serving, UX, tracking technology and media advertising.
too lazy to gather links, but you know, do your googlin'.
I assume that most of you are fairly web literate here, but I'll try to go down into the bare bones as much as possible for those who aren't.
so let's start with a basic question - what is a web visitor anyway?
from the standpoint of a normal person, that would be a person browsing a given website or piece of content. from the standpoint of technology however all you know is that some device has downloaded content from your server using the http protocol. thanks to the wonderful technology of web browsers, you can plant browser cookies on a visitor - stuff that's used to remember if they logged in, what their preferences are, stuff that your service can read from the device. it also serves usually very basic telemetry like last visit time, session time, and so on.
this, over time has evolved in what we call browser fingerprinting, a convoluted bunch of technology that allows websites and web services to uniquely identify you.
it still doesn't know if you're a human or not, but from the standpoint of the web technology, you're a visitor.
now back in ye old days of the web, when the first banner ads were springing up, these were important questions. most consumers were still to be reached on traditional media channels, and ad spend would have to be justified somehow on the risky ventures of online business. so beyond traditional polls that would infer the value of visitors, websites would start tracking number of visitors, time on page and so on. these were used to milk the advertising cow so to speak, and it gave in to some funny developments like the creation of the popup ad - if I recon correctly on geocities, where they would just but the ads everywhere until some big auto company noticed that they're appearing on porn sites. so - put the ad in the popup, and you can claim it's not in the context of porn!
around this point in time the online ad business is still pretty low tech. you actually have to call a physical human being, they send you ppts and pdfs, you send back image files and excel sheets, you wire money, the ads run, and so on. this is called direct sales, and it's tracked again by counting a bunch of visitors, and telling you how much impressions and clicks your marvelous creatives and ad budget generated.
now enter google - or more precisely, a technology firm called doubleclick that was to be acquired by google. they developed a tool for automatic ad serving, later to be called programmatic advertising, that keeps the pesky sales dude out of the loop and achieves reasonable amounts of scale for a more hefty price - after all, if the sales are automated, you get a bidding war for attention between different advertisers, and you're paying for clicks.
so you can see how this was a strategic move for google - they already had the most valuable data available in this situation. they were seeing in real time what people were searching for, and using the programmatic ad serving system, you could effectively bid not just for general attention - but for attention with an intent to buy.
...and the way that google got this data is because they indexed the web, using bots. at least GoogleBot would identify itself as a site visitor, but in the meantime they developed a service for websites to comprehensively track their own visitors and where they were coming from and what they were doing on your website. incidentally, you could also put on google's ads on your webpage to earn quite a bit of money, as content relevant ads would be shown through the doubleclick system.
this kicked off two things:
one, the ability to classify your website visitors into different clusters and segments allowed businesses to start tailoring the appearance of the website or service to fit that specific audience segment, starting off the great fracture - segmentation of the web (in the sense that two people viewing the same website at the same time were not seeing the same thing)
two, it created a very strong financial incentive for people to trick google into thinking they were having actual human visitors that would click on ads, when in fact they were bots. in an even funnier twist, some of them were from browser hijackers, commonly known as malware at the time, which google cross-financed. look up download valley and crossrider.
at the cross section of the above two, you had one interesting twist: websites that would appear differently to the security bots or the compliance officers of Google as they would to fake visitors or malware jacked human beings. the former would get a benign looking website, while the latter would get bombarded with auto clicking ads.
this kicked off the billion dollar arms race called online advertising fraud.
I'm not here to shed a tear for big money corps bleeding money. the real fallout lay somewhere else, but for that you have to understand that you never really saw the real internet, you only saw your corner and the one that was personalized for you.
but if you ever had the pleasure of watching daytime TVs or off channels and witnessing the ads, you could kind of infer what kind of audience must be watching these shows generally. from quite clear rip offs to magic number lotteries and television fortune telling, these sorts of programming was aimed at the most gullible, bought for pennies, where the smallest audience portion had to be converted into a money making operation.
...and with audience segmentation and data gathering, that was now possible at unprecedented scale, automatically. so big was the scale in fact, that it gave birth to an entire new beast of an industry called affiliate marketing, where instead of a regular payroll, you'd get a cut of the sale should you figure out an angle on where to push whatever fucking bullshit the vendors were offering to whoever the fuck would be dumb enough to click on an ad and buy. (the funniest story I recall was someone pulling five figures a month because he figured out that if you buy ads on anime-hentai pages and sell PUA shit courses and e-books you'd make a killing)
at any rate, affiliate marketing brought with it the killer landing page, the thing that's supposed to hammer the nail in the coffin once you get through the banner ad. the earliest form of deceptiveness in memory comes from various pirate sites, that had fake download buttons as banner ads and virus alerts as the landing pages. but then at some point, some schmuck realized that for certain type of products, like diet pills or forex trading or whatever, the best lander is in fact a fake news page that comes packed with comments and all. that would convert like crazy, because it had the appearance of social proof.
until at least the lawsuits came raining down, and these sorts of landing pages and campaigns for being banned left right and centre on all platforms. which just launched a new arms race as the campaigns would be disguised for the bots doing the checkups, and aged facebook profiles would start selling for like 5K USD - these people were making 30-40k a day, they could afford to spend that much to continue running the shop.
speaking of facebook - it came just about the right time for the shit to brew max total. first they were unprecedented in the amount of data they were getting off of their users, and they came just in time to catch the full swing of what we call the 'responsive web' - that no user at the same time would see the same thing on their page, it was all allocated through an intricate web of recommendations, running real time, based on previously gathered and forecast behavioral data.
it also ran on one simple premise: take over the starting page position from google for most people, then they do not have to justify, ever, any ad spend that takes place on their platform, as long as it performs. furthermore, it was completely lacking any revenue share sort of scheme (save for the short period of facebook gaming, see Zynga), thus there was no incentive for the amount of bot traffic that the previous internet era had bred. instead, it came with an entirely different one - bots that would offer social proof in the way of shares and likes, but would not directly risk the business model, thus giving no incentive for facebook to fight them. (note that google didn't do much jack shit either besides indiscriminately penalizing websites it deemed suspicious when they reached critical payout thresholds)
the rest of the story you kind of sort of know. how the obama campaign was brilliant in using the new social media to inspire hope and blah blah blah, kicking the door open for big money politics who could hire the best snake oil salesmen in the market, who had the data and as you can see from the above, had the ethical standards of a shoe. at around 2014-2015 the press (the mainstream media) started to raise question about the duopoly, the buzzword of filter bubbles started appearing, not entirely unrelated to the fact that facebook by this time cannibalized their traffic with a fucking embedded share / like button and started charging money for them to reach their own audience. after 2016 the cries of fake news were everywhere, because there was no online space left which everyone was viewing the same way, and you had no way to verify what the person next to you was looking at.
since then, we've all become grandpa yelling at the television set, with nobody around us seeing what we're seeing on the screen, so we're being accused as bots and looking for bots under the carpet.
but it's been a long way coming, and the bots are honestly the least of our worries. trust me, I went bankrupt over that one. truth or fake doesn't even begin to describe the magnitude of the problem: more like we entered the phase where every word, event or picture is defined by who ever the fuck wins the auction over it, as the marketers of human attention grind the gears of the money mill without even understanding how fast they're digging towards hell.
don't believe me? look around the marketing and advertising related subs these days. the priests are eating the indulgences, and we're only now entering the period of deep fakes, good algo generated audio and good enough NLP. and in the meantime, the shadowrunners running up between two corp headquarter-highrises are skinning your belief systems.
so the best you can do is really, not litter the remnants of cyberspace which are not being mined, astroturfed or being pulled apart by the algos. no human connections on a nuclear trash heap mate.
submitted by gergo_v to sorceryofthespectacle [link] [comments]

Boyfriend (21M) is lazy, does nothing, doesn't even look for jobs which is sending me (21M) and him over the edge slowly.

Hi all.
This is the 4th time I've tried to write this, and I $ you not, I've been writing for the last hour.
So I work full time, earning approx. £24k per year which is a bit over minimum wage.
My boyfriend used to have a job in another area around 100 miles away when he lived back at home however when we moved in together 5 months into the relationship he came with me.
3 month after moving in, he got a job at a local supermarket working 16hrs per week and said it's not somewhere he wants to stay forever, and it was okay for the start as he was getting plenty of overtime. Eventually he wanted to be working full time somewhere.
He has dreams and ambitions of having his own business, like a tattoo parlour, or a pub, or something like that. He has plans to travel the world and wants to do this all with me.
He does want to go to Uni, and for this he needs to resit a few of his exams which he keeps mentioning he wants to do.
Issue is, that around Feb/March 2019 he had to leave his job on medical grounds (couldn't lift heavy items anymore and this was his job).
Since then I started helping him apply for new jobs, at first he got a few interviews (video, phone and in person). The video interview he never did saying that the camera inverts the way he looks so he doesn't want to do it, the phone interviews he did all of them however he missed some as he slept through the day to stay up at night watching GoT etc., he had some in person interviews as well of which he went to one, and was unsuccessful, and since then hasn't been to one. He's had invites for a few more since but still hasn't gone to any.
I have even resorted asking my managers to put in a good work to recruitment to get him working where I am.
He really does want a full time sustainable job and is avoiding jobs such as cleaning, takeaways (McDonalds, KFC etc) which is fair enough, I don't have an issue with that.
When I say I helped him apply for jobs, I mean that I was doing all the applying for him, again which did not bother me at all at first.
It's not been 6 months going on 7 since he was unemployed. As mentioned I get around £24k per year which does leave us really short after bills, repayments on a few of my debts, food etc. is paid for. We're living from payday to payday and one month's wage will only last us 4 weeks, so the 5 week months we have to go a few days pretty much without food and rely on leftovers.
We agreed from day one of moving in to split the bills, which we initially did whilst he was working in the supermarket however eventually when things got difficult and he was stuck doing his part time contracted hours I told him I'd cover all the bills - again - didn't bother me. I see it as our money, not my money his money type of thing.
I am fortunate however that recently my parents have been paying for my shopping and also giving me some homemade food, so that's a monthly expense saved however most of that goes to the bills that I fell into arrears with (i.e. I'm in arrears with gas, electric, water, council tax, his phone bill is in arrears which I'm paying off). After all bills go out, we're left with pretty much £50-£80 emergency money (depending if TV license is due etc).
So, I'm fortunate that I'm able to keep the house afloat with the help of my parents for the nutritional aspect. The only thing food-wise I pay for is dog food as I don't want my parents to be feeding my dogs (makes me feel like a bit of a failure lol). As long as my dogs and my boyfriend are eating, I'm happy.
There's been days where we've been short on food with a day to go until the weekly shopping with my parents, I've lied to my boyfriend and said I've already eaten at work as there was a free buffet on (which work never have), just so he has the last bit of food as if I said to him I was hungry he would never agree to eat it.
Going back to the topic, it's been now 7 months since he's been unemployed. Total jobs applied for are around 100 (even though I was trying to aim for 5 jobs per day for me to apply for him, we all know that's hard whilst working full time as well).
He complains that I'm tired and want to sleep all the time, he complains that we never do anything fun, he stays up all night watching TV and playing video games whilst I'm asleep alone in bed (I don't think I've slept with him in the same bed for a few months now) with one of the dogs whilst he tends to the other.
He wants to be successful but I feel like he's honestly not doing anything about it? A few months ago I put my foot down and said that I'm not going to be helping him anymore as all the jobs I apply for there is some type of problem, and it won't feel the same because it's me doing it and not him so he won't even know what job it is if they ring him back! I told him to try and aim for 5 jobs per day. This was around 2-3 months ago I think. Since I told him this, he's probably applied for around 15-20 jobs in total (I'm thinking more around 10). When I ask him how the job hunt is going he gets defensive, saying that I'm putting him under a lot of pressure that he needs to find a job and he doesn't want any pressure.
I'm starting to think he's not the hard-working individual he proclaimed to be at the start of the relationship.
My week generally consists of waking up around 5am daily, studying the financial markets (search on Google for Forex) until around 7am. Then I start work between 8am-12pm and finish between 4pm-8pm depending on the shift I'm on (it's 7 hour shifts). After I get home, I do tend to carry on studying, reading books, researching on the financial markets as this is what I aspire to be in the future (a full time private currency trader).
He knows all this and sees me working all the time and he says that I work hard and he's proud of me however it makes me feel selfish, and guilty in fact, that I don't feel the same back to him? I've told him even if he volunteered somewhere that's a start as at least he wouldn't be home all day.
He suffers with some mental health issues and so do I in fact. Mine are financially related, struggling to provide for my own household sends me under. We used to have a car and went for daily adventures when things were good. We both miss this.
I miss him.
Again... I'm going off of topic!!! Let's get back to the job situation. He had one response from a job application around a week ago that gave him an in person interview after a successful telephone interview however they withdrew the a few days before his in person interview. I told him not to worry and that there was going to plenty more, he didn't sound too bothered by it but I do think he was upset as he liked the sound of the job.
I want him to get a job and I sometimes feel like grabbing his head and shaking it to put it right lol! I don't want him to feel under pressure but at the same time I want him to understand that he needs to find one as we're relying on other people for essentials at the minute. He wants a good life and I want to be able to start saving money so I can start my Forex trading career as well eventually.
That's the money side of things.
The other side of things is the emotional side. He's deteriorating emotionally and he won't accept this. He's losing the plot and I've told him this. He'll go angry over the smallest things. For example if I was to accidentally slam the door shut (i.e. put more force onto it when not needed because I'm thinking the window is shut when it's open) he'll comment on it. He never used to do this. Same door, same window. He won't leave the house for weeks at times. I have to force him to sometimes. When he wants something (i.e. a snack or a soft-drink) he'll ask me to go across the road (literally 10 steps away) to get it. Leaving it my choice to decide what he eats and drinks. When I tell him he should go and get some fresh air at the same time, he doesn't want to as he's not confident in his own body (he tans, and I've told him not to put as much on whilst we can't afford to buy new ones whenever he needs it, more-so when we can). He'll get a bit annoyed over small things like the pillow on the sofa not being in the right place after I've sat on it and just got off - or if I was in a rush in the morning and left the ironing board out, or had not done the bed up or accidentally left the foot towel on the floor without moving it onto the radiator after I've had a shower. He'll wake up around 4-5-6pm, and then complain that I don't see him or speak to him when I get home and go back to studying and reading what I am doing, even though I'm sat right next to him. I tend to try and sleep as late as I can so I can at least get some time with him even if it's 30-45 mins. Sometimes this is as late as 1:30am, of which you can understand if I wake up at 5am including weekends I'm getting lack of sleep, but I'm used to it so it doesn't bother me really.
All I want is for him to be happy, and for him not to go insane. Even right now, the last time he left the house was.... I can't remember. Perhaps weekend before last weekend when he walked the dog (which I had to practically force him to do).
Props to him he does do most of the housework. He hoovers the most, does the dishes the most, does the washing up the most, lets the dogs out to the toilet the most. I do the money-making, feeding the dogs, the cooking and the ironing. But these aren't limited, we can swap or one of us can do it all one time at the agreement the other will do it all or whatever surplus there was next time.
He's getting settled for this life, a life that we're both not used to but he's settling for it. And I don't want him to. It's killing him on the inside.
I've even tried to explain that if we ever have an unexpected bill, god forbid, how will we afford it? I've sold everything in the house that I could possibly sell to make some extra money. We've literally got a TV, sofa, Xbox, bed, kitchen appliances and two laptops (one that I do my studies one and the other that used to be my brother's that he [boyfriend] uses to play games and watch Netflix - doesn't use to apply for jobs as doesn't have Word on it for CV which is fair enough). I leave my laptop at home all day and have everything logged on for him overnight so he can apply for jobs either whilst he's awake whilst I'm asleep or whilst I'm at work.
So my question/advice is... how should I motivate him to apply for jobs, how should I go about it whilst keeping into account everything that he doesn't want to feel (under pressure etc.)? How do I explain to him that it will actually give us a better life that we're both used to? How can I explain to him that without him having a job, all of our plans, our ambitions, our goals, our travelling will never happen?
Please, if anything else needs explaining or I've not covered anything do not hesitate to ask. I do not take offence to anything whatsoever.
Thank you guys in advance, I hope some ideas can come to light for myself and anyone else in my situation.
Best regards,
X
submitted by stayinganonymous17 to relationship_advice [link] [comments]

Get ready for the trading week of March 4th, 2019!

Hey what's happening wallstreetbets! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market last week, and are ready for the new trading week ahead! :)
Here is everything you need to know to get you ready for the trading week beginning March 4th, 2019.

The week ahead: Jobs report needs to silence rising worries about the economy - (Source)

Job growth has remained vibrant despite the slow-growing economy,and that's a trend investors are anxious to see confirmed in the February employment report on Friday.
Even with some economists expecting growth around 1 percent for the first quarter, the labor market has been strong, and economists expect to see 185,000 jobs added in February. The economy is widely expected to bounce back in the second quarter to a pace well above 2 percent, after the temporary headwinds from the government shutdown and polar vortex abate.
The jobs data tops the list of important economic news in the week ahead, particularly after a string of disappointing reports showing that both consumers and businesses have pulled back.
The stock market will pass a major milestone on Wednesday—the tenth anniversary of the day the market bottomed in 2009, when the S&P 500 hit 666. The S&P has gained more than 312 percent since that low of the financial crisis, and some analysts see the bull market continuing for at least another year.
"We think there's further upside for this bull market to go. The age of the bull does not matter. What really matters is how healthy it is," said Patrick Palfrey, U.S. equity strategist at Credit Suisse. "Whatever the concerns, around trade tariffs, or decelerating corporate profits, we believe this bull market remains very healthy."
The S&P 500 is taking aim at the 2,800 level, an important milestone that it has struggled to surpass in the past week. The 2,800 marker was an important level for the stock market four times in past several months, and holding above it could signal the rally could drive stocks to fresh highs.
Palfrey said investors first and foremost are looking at any information that can help them gauge how the economy is doing. "We're looking for confirmation in the jobs report. We think the economy is doing okay. Labor participation is improving. We're going to see that continuing to inch back up," he said.
The Citigroup economic surprise index fell to a new 18-month low Friday, following a recent rash of disappointing reports. When economic reports come in below economists' expectations, the surprise index falls and a low number for the index is reflecting the economic slowdown.
Source: Citigroup
Goldman Sachs economists Friday said they were expecting first quarter growth of just 0.9 percent, but they raised second quarter growth to 2.9 percent.

New home sales

In addition to the jobs report, there is the Fed's beige book on the economy Wednesday and new home sales Tuesday. But after delayed and weaker data, it's the jobs report that matters most. The employment report is one data point that has been released as normal through the shutdown, and in the January data, there was a huge upside surprise of 304,000 nonfarm payrolls.
"All eyes are on the job market. If businesses lose faith and they stop hiring, and job growth starts slowing, then we do have problems," said Mark Zandi, chief economist at Moody's Analytics. Economists expect wages to rise by 0.3 percent and unemployment to fall a tenth to 3.9 percent, according to Refinitiv.
"I think companies should stay steadfast in their hiring," Zandi said. He expects job growth of about 200,000 but notes there could be a payback for the huge amount of hires in January.
"I think the economy is fragile, growth is below trend. It's very vulnerable. The only thing that will keep it together is if businesses keep hiring and the job market holds up, and I think it will unless the president doesn't settle with the Chinese on trade, or there's a hard Brexit or some other geopolitical event," said Zandi.
The Federal Reserve has paused in its interest rate hiking because of the slowing economy and concerns about financial conditions. But the Fed could move forward on rates again, if inflation begins to pick up, and for that reason the wage data in the jobs report would also be key were it to show new wage pressures.
There are a few speeches by Fed officials, including Fed Chairman Jerome Powell who speaks at Stanford University Friday night at an economic conference.
Market focus will also be on the European Central Bank which meets Thursday.
"I think people are expecting some detail about a long-term loan operation," said Marc Chandler, chief market strategist at Bannockburn Global Forex. The ECB is expected to allow European banks to extend the duration of some short-term loans. Chandler said the ECB could also push back on its time frame on raising interest rates, which it has said would not be until after the summer.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR CHART LINK #1!)
(CLICK HERE FOR CHART LINK #2!)
(CLICK HERE FOR CHART LINK #3!)

Typical March Trading: Mid-Month Surge and Flat

Over the recent 21 years March has been a solid performing month for the market. Average gains over the period range from a low of 1.29% by NASDAQ to a respectable 2.0% by Russell 2000. March has also been the #1 performing month by average performance for S&P 500 and Russell 2000 over the last 21 years. First trading day of March gains typically kick of the month, followed by choppy to slightly higher trading until around the tenth or eleventh trading day when the market tends to surge higher until around the fifteenth trading day. At this point the market tends to cool and can succumb to some end-of-quarter selling pressure.
(CLICK HERE FOR THE CHART!)

Bad Q4 Not A Bad Sign

Now that the 4th quarter market debacle is behind us and solid gains have been logged in 2019 year-to-date we have taken a deeper dive into market action following Q4 losses for the three main U.S. market indices. DJIA and S&P 500 have been solid over the next for the next four quarters and the next year when Q1 is positive, but also good following all but three subsequent Q1 losses. On average up about 80% of the time for the full year with average gains around 8%. NASDAQ’s record is choppier.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for March 1st, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 3.3.19 - A Hanging Man at the Top of the Box

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $CRM
  • $NIO
  • $TGT
  • $WB
  • $PLUG
  • $KSS
  • $MGIC
  • $YY
  • $CIEN
  • $IPAR
  • $KR
  • $BZUN
  • $OKTA
  • $BCRX
  • $COST
  • $SINA
  • $SESN
  • $DLTR
  • $LUNA
  • $CTRP
  • $ANF
  • $MEET
  • $ACRX
  • $GDP
  • $SPKE
  • $ADMS
  • $URBN
  • $GNC
  • $GMS
  • $BURL
  • $LJPC
  • $BJ
  • $ADUS
  • $THO
  • $VNET
  • $MRVL
  • $GSKY
  • $GAIA
  • $ROST
  • $AEO
  • $TPB
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 4 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 3.4.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 3.4.19 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 3.5.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 3.5.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 3.6.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 3.6.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 3.7.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 3.7.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Friday 3.8.19 Before Market Open:

(CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Friday 3.8.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Salesforce $164.53

Salesforce (CRM) is confirmed to report earnings at approximately 4:05 PM ET on Monday, March 4, 2019. The consensus earnings estimate is $0.55 per share on revenue of $3.56 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 84% expecting an earnings beat The company's guidance was for earnings of $0.54 to $0.55 per share. Consensus estimates are for year-over-year earnings growth of 48.65% with revenue increasing by 24.87%. Short interest has increased by 18.5% since the company's last earnings release while the stock has drifted higher by 18.8% from its open following the earnings release to be 15.4% above its 200 day moving average of $142.59. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, February 27, 2019 there was some notable buying of 5,030 contracts of the $165.00 call expiring on Friday, June 21, 2019. Option traders are pricing in a 7.0% move on earnings and the stock has averaged a 3.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

NIO Inc. $10.06

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, March 5, 2019. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for revenue of $418.00 million to $436.00 million. The stock has drifted higher by 39.3% from its open following the earnings release. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, February 25, 2019 there was some notable buying of 40,151 contracts of the $9.00 call expiring on Friday, March 15, 2019. Option traders are pricing in a 11.9% move on earnings and the stock has averaged a 4.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Target Corp. $72.94

Target Corp. (TGT) is confirmed to report earnings at approximately 6:30 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $1.53 per share on revenue of $23.15 billion and the Earnings Whisper ® number is $1.55 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 11.68% with revenue increasing by 1.69%. Short interest has decreased by 7.7% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 5.5% below its 200 day moving average of $77.16. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 19, 2019 there was some notable buying of 43,529 contracts of the $80.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 6.7% move on earnings and the stock has averaged a 6.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Weibo Corporation $72.07

Weibo Corporation (WB) is confirmed to report earnings at approximately 5:00 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $0.75 per share on revenue of $481.53 million and the Earnings Whisper ® number is $0.78 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat The company's guidance was for revenue of $480.00 million to $490.00 million. Consensus estimates are for year-over-year earnings growth of 19.05% with revenue increasing by 27.58%. Short interest has increased by 20.4% since the company's last earnings release while the stock has drifted higher by 16.9% from its open following the earnings release to be 2.0% below its 200 day moving average of $73.57. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 12, 2019 there was some notable buying of 1,610 contracts of the $75.00 call expiring on Friday, July 19, 2019. Option traders are pricing in a 9.4% move on earnings and the stock has averaged a 5.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Plug Power, Inc. $1.80

Plug Power, Inc. (PLUG) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, March 7, 2019. The consensus estimate is for a loss of $0.05 per share on revenue of $58.78 million and the Earnings Whisper ® number is ($0.05) per share. Investor sentiment going into the company's earnings release has 55% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 44.44% with revenue increasing by 84.42%. Short interest has increased by 6.8% since the company's last earnings release while the stock has drifted lower by 8.2% from its open following the earnings release to be 12.6% below its 200 day moving average of $2.06. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 20.0% move on earnings and the stock has averaged a 7.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Kohl's Corporation $68.10

Kohl's Corporation (KSS) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $2.17 per share on revenue of $6.79 billion and the Earnings Whisper ® number is $2.19 per share. Investor sentiment going into the company's earnings release has 55% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.04% with revenue increasing by 0.21%. Short interest has decreased by 12.0% since the company's last earnings release while the stock has drifted higher by 8.3% from its open following the earnings release to be 4.3% below its 200 day moving average of $71.15. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, February 27, 2019 there was some notable buying of 3,138 contracts of the $75.00 put expiring on Friday, March 15, 2019. Option traders are pricing in a 8.3% move on earnings and the stock has averaged a 5.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Magic Software Enterprises, Ltd. $9.15

Magic Software Enterprises, Ltd. (MGIC) is confirmed to report earnings at approximately 7:30 AM ET on Monday, March 4, 2019. The consensus earnings estimate is $0.14 per share on revenue of $73.75 million. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 27.27% with revenue increasing by 11.59%. Short interest has decreased by 80.9% since the company's last earnings release while the stock has drifted higher by 8.0% from its open following the earnings release. Overall earnings estimates have been revised lower since the company's last earnings release.

(CLICK HERE FOR THE CHART!)

YY Inc. $70.88

YY Inc. (YY) is confirmed to report earnings at approximately 5:30 PM ET on Monday, March 4, 2019. The consensus earnings estimate is $1.86 per share on revenue of $641.65 million and the Earnings Whisper ® number is $1.91 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for revenue of $630.00 million to $652.00 million. Consensus estimates are for earnings to decline year-over-year by 0.53% with revenue increasing by 15.12%. Short interest has decreased by 13.8% since the company's last earnings release while the stock has drifted higher by 13.9% from its open following the earnings release to be 10.4% below its 200 day moving average of $79.10. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, February 20, 2019 there was some notable buying of 1,504 contracts of the $75.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 9.0% move on earnings and the stock has averaged a 10.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Ciena Corporation $42.76

Ciena Corporation (CIEN) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $0.30 per share on revenue of $757.37 million and the Earnings Whisper ® number is $0.34 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat The company's guidance was for revenue of $745.00 million to $775.00 million. Consensus estimates are for year-over-year earnings growth of 130.77% with revenue increasing by 17.22%. Short interest has decreased by 7.2% since the company's last earnings release while the stock has drifted higher by 19.6% from its open following the earnings release to be 39.2% above its 200 day moving average of $30.72. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, March 1, 2019 there was some notable buying of 1,235 contracts of the $28.00 put expiring on Friday, July 19, 2019. Option traders are pricing in a 9.9% move on earnings and the stock has averaged a 8.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Inter Parfums Inc. $75.24

Inter Parfums Inc. (IPAR) is confirmed to report earnings at approximately 7:45 AM ET on Monday, March 4, 2019. The consensus earnings estimate is $0.19 per share on revenue of $177.22 million and the Earnings Whisper ® number is $0.21 per share. Investor sentiment going into the company's earnings release has 53% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 35.71% with revenue increasing by 18.52%. Short interest has increased by 27.9% since the company's last earnings release while the stock has drifted higher by 20.0% from its open following the earnings release to be 24.1% above its 200 day moving average of $60.61. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 2.8% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
Have a fantastic weekend and a great trading week ahead to everyone here on wallstreetbets! :)
submitted by bigbear0083 to wallstreetbets [link] [comments]

Hiring People to Learn and Trade Strategies.

I am interested in hiring anyone who can learn and then trade my strategies to a highly efficient level.

I design my strategies to meet the metrics I know large Forex investors are looking for. More and more I aim to remove subjectivity from my strategies, and thus more and more I feel they become more duplicable.

I think based just on resources I have provided to you already here, a person should b able to trade in such a way that meets the metrics for large investors to invest several hundred thousand with, and much more as time goes by. If anyone is able to meet the same metrics as I am with my strategies (traded based on the information I have provided), I can provide a path for you into professional asset management.

The minimum requirement for this will be 8-12 months track record (perhaps with smaller investment after 6 months).

For you to be considered, you will have to keep a log of each and every one of your trades. This is for me to assess your aptitude and discipline in following the strategy.

If you show self determination and intuition, I will then begin to work more closely with you to take you from using the strategies well, to using them the best you can. However, for the first months I will be expecting to see you try things on your own. It is impractical for me to spent one on one time with a lot of people, so the first few months are a filter.

Determination is the most important thing to me. So even if someone loses for 3 months, but still keeps trying; you will get a lot more of my time and help. I know mental toughness is more important than technical skill in trading, because I can not give you mental toughness. Skill can always be learned, by the determined.

I am working on training materials for different strategies. The first one is ready, though. I already wrote a book on it than gives you enough information to be highly profitable in a trending market.

Here is my benchmark. This is what I can do based on just the rules I have given you, and using a set 1% risk per trade.
http://fxcopy.boards.net/thread/3/extreme-edge-strategy-trend-journal

The most important metric we are tracking is the average monthly gain vrs the maximum draw-down. I need you to be able to produce at least 1% average monthly gain for each 2% maximum draw-down (5% for 10% is a good ratio to aim for). If you can do that, you can be a pro. Legit, it is that "easy" (psych, it is hard as fuck, but I done a lot of the leg work for you already, you just need the mental stamina now).

You should be aiming to match or beat my results. That will be possible for you based upon the information provided.

I will post more updates on this soon.
submitted by inweedwetrust to Forexnoobs [link] [comments]

Get ready for the trading week of March 4th, 2019!

Hey what's happening StockMarket! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market last week, and are ready for the new trading week ahead! :)
Here is everything you need to know to get you ready for the trading week beginning March 4th, 2019.

The week ahead: Jobs report needs to silence rising worries about the economy - (Source)

Job growth has remained vibrant despite the slow-growing economy,and that's a trend investors are anxious to see confirmed in the February employment report on Friday.
Even with some economists expecting growth around 1 percent for the first quarter, the labor market has been strong, and economists expect to see 185,000 jobs added in February. The economy is widely expected to bounce back in the second quarter to a pace well above 2 percent, after the temporary headwinds from the government shutdown and polar vortex abate.
The jobs data tops the list of important economic news in the week ahead, particularly after a string of disappointing reports showing that both consumers and businesses have pulled back.
The stock market will pass a major milestone on Wednesday—the tenth anniversary of the day the market bottomed in 2009, when the S&P 500 hit 666. The S&P has gained more than 312 percent since that low of the financial crisis, and some analysts see the bull market continuing for at least another year.
"We think there's further upside for this bull market to go. The age of the bull does not matter. What really matters is how healthy it is," said Patrick Palfrey, U.S. equity strategist at Credit Suisse. "Whatever the concerns, around trade tariffs, or decelerating corporate profits, we believe this bull market remains very healthy."
The S&P 500 is taking aim at the 2,800 level, an important milestone that it has struggled to surpass in the past week. The 2,800 marker was an important level for the stock market four times in past several months, and holding above it could signal the rally could drive stocks to fresh highs.
Palfrey said investors first and foremost are looking at any information that can help them gauge how the economy is doing. "We're looking for confirmation in the jobs report. We think the economy is doing okay. Labor participation is improving. We're going to see that continuing to inch back up," he said.
The Citigroup economic surprise index fell to a new 18-month low Friday, following a recent rash of disappointing reports. When economic reports come in below economists' expectations, the surprise index falls and a low number for the index is reflecting the economic slowdown.
Source: Citigroup
Goldman Sachs economists Friday said they were expecting first quarter growth of just 0.9 percent, but they raised second quarter growth to 2.9 percent.

New home sales

In addition to the jobs report, there is the Fed's beige book on the economy Wednesday and new home sales Tuesday. But after delayed and weaker data, it's the jobs report that matters most. The employment report is one data point that has been released as normal through the shutdown, and in the January data, there was a huge upside surprise of 304,000 nonfarm payrolls.
"All eyes are on the job market. If businesses lose faith and they stop hiring, and job growth starts slowing, then we do have problems," said Mark Zandi, chief economist at Moody's Analytics. Economists expect wages to rise by 0.3 percent and unemployment to fall a tenth to 3.9 percent, according to Refinitiv.
"I think companies should stay steadfast in their hiring," Zandi said. He expects job growth of about 200,000 but notes there could be a payback for the huge amount of hires in January.
"I think the economy is fragile, growth is below trend. It's very vulnerable. The only thing that will keep it together is if businesses keep hiring and the job market holds up, and I think it will unless the president doesn't settle with the Chinese on trade, or there's a hard Brexit or some other geopolitical event," said Zandi.
The Federal Reserve has paused in its interest rate hiking because of the slowing economy and concerns about financial conditions. But the Fed could move forward on rates again, if inflation begins to pick up, and for that reason the wage data in the jobs report would also be key were it to show new wage pressures.
There are a few speeches by Fed officials, including Fed Chairman Jerome Powell who speaks at Stanford University Friday night at an economic conference.
Market focus will also be on the European Central Bank which meets Thursday.
"I think people are expecting some detail about a long-term loan operation," said Marc Chandler, chief market strategist at Bannockburn Global Forex. The ECB is expected to allow European banks to extend the duration of some short-term loans. Chandler said the ECB could also push back on its time frame on raising interest rates, which it has said would not be until after the summer.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR CHART LINK #1!)
(CLICK HERE FOR CHART LINK #2!)
(CLICK HERE FOR CHART LINK #3!)

Typical March Trading: Mid-Month Surge and Flat

Over the recent 21 years March has been a solid performing month for the market. Average gains over the period range from a low of 1.29% by NASDAQ to a respectable 2.0% by Russell 2000. March has also been the #1 performing month by average performance for S&P 500 and Russell 2000 over the last 21 years. First trading day of March gains typically kick of the month, followed by choppy to slightly higher trading until around the tenth or eleventh trading day when the market tends to surge higher until around the fifteenth trading day. At this point the market tends to cool and can succumb to some end-of-quarter selling pressure.
(CLICK HERE FOR THE CHART!)

Bad Q4 Not A Bad Sign

Now that the 4th quarter market debacle is behind us and solid gains have been logged in 2019 year-to-date we have taken a deeper dive into market action following Q4 losses for the three main U.S. market indices. DJIA and S&P 500 have been solid over the next for the next four quarters and the next year when Q1 is positive, but also good following all but three subsequent Q1 losses. On average up about 80% of the time for the full year with average gains around 8%. NASDAQ’s record is choppier.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for March 1st, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 3.3.19 - A Hanging Man at the Top of the Box

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $CRM
  • $NIO
  • $TGT
  • $WB
  • $PLUG
  • $KSS
  • $MGIC
  • $YY
  • $CIEN
  • $IPAR
  • $KR
  • $BZUN
  • $OKTA
  • $BCRX
  • $COST
  • $SINA
  • $SESN
  • $DLTR
  • $LUNA
  • $CTRP
  • $ANF
  • $MEET
  • $ACRX
  • $GDP
  • $SPKE
  • $ADMS
  • $URBN
  • $GNC
  • $GMS
  • $BURL
  • $LJPC
  • $BJ
  • $ADUS
  • $THO
  • $VNET
  • $MRVL
  • $GSKY
  • $GAIA
  • $ROST
  • $AEO
  • $TPB
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 4 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 3.4.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 3.4.19 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 3.5.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 3.5.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 3.6.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 3.6.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 3.7.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 3.7.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Friday 3.8.19 Before Market Open:

(CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Friday 3.8.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Salesforce $164.53

Salesforce (CRM) is confirmed to report earnings at approximately 4:05 PM ET on Monday, March 4, 2019. The consensus earnings estimate is $0.55 per share on revenue of $3.56 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 84% expecting an earnings beat The company's guidance was for earnings of $0.54 to $0.55 per share. Consensus estimates are for year-over-year earnings growth of 48.65% with revenue increasing by 24.87%. Short interest has increased by 18.5% since the company's last earnings release while the stock has drifted higher by 18.8% from its open following the earnings release to be 15.4% above its 200 day moving average of $142.59. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, February 27, 2019 there was some notable buying of 5,030 contracts of the $165.00 call expiring on Friday, June 21, 2019. Option traders are pricing in a 7.0% move on earnings and the stock has averaged a 3.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

NIO Inc. $10.06

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, March 5, 2019. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for revenue of $418.00 million to $436.00 million. The stock has drifted higher by 39.3% from its open following the earnings release. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, February 25, 2019 there was some notable buying of 40,151 contracts of the $9.00 call expiring on Friday, March 15, 2019. Option traders are pricing in a 11.9% move on earnings and the stock has averaged a 4.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Target Corp. $72.94

Target Corp. (TGT) is confirmed to report earnings at approximately 6:30 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $1.53 per share on revenue of $23.15 billion and the Earnings Whisper ® number is $1.55 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 11.68% with revenue increasing by 1.69%. Short interest has decreased by 7.7% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 5.5% below its 200 day moving average of $77.16. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 19, 2019 there was some notable buying of 43,529 contracts of the $80.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 6.7% move on earnings and the stock has averaged a 6.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Weibo Corporation $72.07

Weibo Corporation (WB) is confirmed to report earnings at approximately 5:00 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $0.75 per share on revenue of $481.53 million and the Earnings Whisper ® number is $0.78 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat The company's guidance was for revenue of $480.00 million to $490.00 million. Consensus estimates are for year-over-year earnings growth of 19.05% with revenue increasing by 27.58%. Short interest has increased by 20.4% since the company's last earnings release while the stock has drifted higher by 16.9% from its open following the earnings release to be 2.0% below its 200 day moving average of $73.57. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 12, 2019 there was some notable buying of 1,610 contracts of the $75.00 call expiring on Friday, July 19, 2019. Option traders are pricing in a 9.4% move on earnings and the stock has averaged a 5.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Plug Power, Inc. $1.80

Plug Power, Inc. (PLUG) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, March 7, 2019. The consensus estimate is for a loss of $0.05 per share on revenue of $58.78 million and the Earnings Whisper ® number is ($0.05) per share. Investor sentiment going into the company's earnings release has 55% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 44.44% with revenue increasing by 84.42%. Short interest has increased by 6.8% since the company's last earnings release while the stock has drifted lower by 8.2% from its open following the earnings release to be 12.6% below its 200 day moving average of $2.06. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 20.0% move on earnings and the stock has averaged a 7.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Kohl's Corporation $68.10

Kohl's Corporation (KSS) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $2.17 per share on revenue of $6.79 billion and the Earnings Whisper ® number is $2.19 per share. Investor sentiment going into the company's earnings release has 55% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.04% with revenue increasing by 0.21%. Short interest has decreased by 12.0% since the company's last earnings release while the stock has drifted higher by 8.3% from its open following the earnings release to be 4.3% below its 200 day moving average of $71.15. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, February 27, 2019 there was some notable buying of 3,138 contracts of the $75.00 put expiring on Friday, March 15, 2019. Option traders are pricing in a 8.3% move on earnings and the stock has averaged a 5.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Magic Software Enterprises, Ltd. $9.15

Magic Software Enterprises, Ltd. (MGIC) is confirmed to report earnings at approximately 7:30 AM ET on Monday, March 4, 2019. The consensus earnings estimate is $0.14 per share on revenue of $73.75 million. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 27.27% with revenue increasing by 11.59%. Short interest has decreased by 80.9% since the company's last earnings release while the stock has drifted higher by 8.0% from its open following the earnings release. Overall earnings estimates have been revised lower since the company's last earnings release.

(CLICK HERE FOR THE CHART!)

YY Inc. $70.88

YY Inc. (YY) is confirmed to report earnings at approximately 5:30 PM ET on Monday, March 4, 2019. The consensus earnings estimate is $1.86 per share on revenue of $641.65 million and the Earnings Whisper ® number is $1.91 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for revenue of $630.00 million to $652.00 million. Consensus estimates are for earnings to decline year-over-year by 0.53% with revenue increasing by 15.12%. Short interest has decreased by 13.8% since the company's last earnings release while the stock has drifted higher by 13.9% from its open following the earnings release to be 10.4% below its 200 day moving average of $79.10. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, February 20, 2019 there was some notable buying of 1,504 contracts of the $75.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 9.0% move on earnings and the stock has averaged a 10.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Ciena Corporation $42.76

Ciena Corporation (CIEN) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $0.30 per share on revenue of $757.37 million and the Earnings Whisper ® number is $0.34 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat The company's guidance was for revenue of $745.00 million to $775.00 million. Consensus estimates are for year-over-year earnings growth of 130.77% with revenue increasing by 17.22%. Short interest has decreased by 7.2% since the company's last earnings release while the stock has drifted higher by 19.6% from its open following the earnings release to be 39.2% above its 200 day moving average of $30.72. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, March 1, 2019 there was some notable buying of 1,235 contracts of the $28.00 put expiring on Friday, July 19, 2019. Option traders are pricing in a 9.9% move on earnings and the stock has averaged a 8.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Inter Parfums Inc. $75.24

Inter Parfums Inc. (IPAR) is confirmed to report earnings at approximately 7:45 AM ET on Monday, March 4, 2019. The consensus earnings estimate is $0.19 per share on revenue of $177.22 million and the Earnings Whisper ® number is $0.21 per share. Investor sentiment going into the company's earnings release has 53% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 35.71% with revenue increasing by 18.52%. Short interest has increased by 27.9% since the company's last earnings release while the stock has drifted higher by 20.0% from its open following the earnings release to be 24.1% above its 200 day moving average of $60.61. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 2.8% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
Have a fantastic weekend and a great trading week ahead to everyone here on StockMarket! :)
submitted by bigbear0083 to StockMarket [link] [comments]

[uncensored-r/CryptoCurrency] Stop-loss hunting: An incredibly common way that "whales" steal your coins, and how to prevent it

The following post by CaffeineIsMyHeroin is being replicated because some comments within the post(but not the post itself) have been openly removed.
The original post can be found(in censored form) at this link:
np.reddit.com/ CryptoCurrency/comments/7y8aiq
The original post's content was as follows:

INTRO

I've been investing in crypto for a few months now. I've certainly made some mistakes by applying trading strategies from my stock trading days to crypto, when crypto has a vastly different environment. One of the things I learned early on was how rampant and widespread stop-loss hunting is. This post is meant to give a brief explanation on what stop-loss hunting is, how to identify it, and how to avoid being hunted yourself. You may have heard that stop-hunting is not a big thing in the stock market or forex. This is true, but I assure you its very real in crypto.

Stop-loss hunting is the act of intentionally pushing the price down through a major support level to trigger stop-loss orders, creating a flash-crash which can then be used to buy coins on the cheap.

It is incredibly easy to do with anything that has low volume at any point during the day, which is a vast majority of cryptos outside the top 15.

Example

Scenario:

Let's say you're a whale with a large amount of BTC and you have reason to believe there's some awesome news coming out for coin ABC which will generate a nice pump, so you have been accumulating this coin over the past week and are sitting on about 50BTC worth. The volume on the coin is currently very low and so you can't purchase any without driving up the price, which you don't want to do.

The setup:

First you look at the price, order book, and volume, and note the following:
  • It's currently trading at 105K satoshi.
  • The order book is very thin - there's only about 6 BTC worth of buy orders between 105K and 100K
  • There's only another 2BTC of buy orders just below 100K.
  • anything below 95K you don't care about.
  • You know that 100K is a major psychological level and there are bound to be stop-loss orders below it.

Time to go hunting and pick up some more coins for cheap!

  1. You place several market sell orders totaling 5 BTC, driving the price down to 101K.
  2. You then place some massive sell walls of 4-5BTC at 101.5BTC, hoping to trigger panic.
  3. If panic doesn't follow, you make a few more market sells and the price collapses down to 100K.
  4. A few more sells and you push the price to 99K.
  5. Now the fun begins. You have sold off about 10BTC of your 50BTC position, now sitting on 40BTC.
  6. Plenty of retail investors had their stop-losses placed at 99.5K, and their orders are triggered. They begin placing limit sell orders (without even knowing) and driving the price down further.
  7. The price has now collapsed to 96K, almost a 10% drop, in just a few minutes.
  8. There are now 30BTC of stop-loss orders for sale between 96K and 105K, and you buy them all.
  9. Price returns to the previous 105K and you now own 70BTC worth of coin ABC.
In short, by selling 10BTC of your position for an average of 101K you created a short-lived 10% price collapse which you then took advantage of to buy up a bunch of cheap coins from stop-loss orders for an average of 99K. Not only do you now own 20BTC more of your coin, but you got them at a discount. Awesome for you, sucks for the poor holders who you hunted and now no longer have their coins.

Visual

What does stop-loss hunting look like on a graph? As you might expect, it looks like a massive spike down followed by significant bull action and a return to norm. Often whales do stop-loss hunting right before pumping it themselves, so you may even see stop-loss hunting followed by a huge run up.

Avoiding being Hunted

How do you prevent getting "hunted"? There are really two ways.
Use price alerts instead of stop-losses.
By the time you get the alert and check the price, the hunt will probably be over. The downsides to this are that it requires a strong ability to remain unemotional - something most people don't have (and why people use stops in the first place). You still have to honor your mental stop-losses, you just also allow them a bit of time to ensure that the move was authentic. In trading circles you'll here this referred to as "letting the candle complete."
Place smarter stop-losses.
As you can see from the previous graph, price fluctuations and volatility in this market is significant. The best way to do this is to look at the average order book size, calculate volume and how many sells it would take to crash the price a given amount, and ensure your stop-loss is below that. You should also place stop-losses away from major psychological levels, such as 100K satoshi or even 99K. Place them either higher (106K) or lower (94K) depending on the market.
I personally roll with option 1 (assuming I even have coins on an exchange, which is rare), but there's nothing wrong with either choice.

Conclusion

I hope this has helped at least one or two people understand what stop-loss hunting is, why it's important, and how to avoid being "hunted" and having your coins stolen from you.
I also have suspicions that binance has bots that chase stop-loss orders.
As an experiment I placed a stop about 5% below the current price on a coin and with only about 1BTC of buy orders between my stop and the price. Within 5 minutes my coins had been stopped out and the price had returned to its previous level.
TL/DR
If volume is low enough, a whale can push the price down through a major support and trigger your stop loss orders and then take your coins from you.
Other references - note, none are about crypto so some assumptions they make do not apply such as stop-hunting not being a thing in forex (it's definitely a thing in crypto).
Edit: some grammar and a few numbers which I fudged
submitted by censorship_notifier to noncensored_bitcoin [link] [comments]

Get ready for the trading week of March 4th, 2019!

Hey what's happening stocks! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market last week, and are ready for the new trading week ahead! :)
Here is everything you need to know to get you ready for the trading week beginning March 4th, 2019.

The week ahead: Jobs report needs to silence rising worries about the economy - (Source)

Job growth has remained vibrant despite the slow-growing economy,and that's a trend investors are anxious to see confirmed in the February employment report on Friday.
Even with some economists expecting growth around 1 percent for the first quarter, the labor market has been strong, and economists expect to see 185,000 jobs added in February. The economy is widely expected to bounce back in the second quarter to a pace well above 2 percent, after the temporary headwinds from the government shutdown and polar vortex abate.
The jobs data tops the list of important economic news in the week ahead, particularly after a string of disappointing reports showing that both consumers and businesses have pulled back.
The stock market will pass a major milestone on Wednesday—the tenth anniversary of the day the market bottomed in 2009, when the S&P 500 hit 666. The S&P has gained more than 312 percent since that low of the financial crisis, and some analysts see the bull market continuing for at least another year.
"We think there's further upside for this bull market to go. The age of the bull does not matter. What really matters is how healthy it is," said Patrick Palfrey, U.S. equity strategist at Credit Suisse. "Whatever the concerns, around trade tariffs, or decelerating corporate profits, we believe this bull market remains very healthy."
The S&P 500 is taking aim at the 2,800 level, an important milestone that it has struggled to surpass in the past week. The 2,800 marker was an important level for the stock market four times in past several months, and holding above it could signal the rally could drive stocks to fresh highs.
Palfrey said investors first and foremost are looking at any information that can help them gauge how the economy is doing. "We're looking for confirmation in the jobs report. We think the economy is doing okay. Labor participation is improving. We're going to see that continuing to inch back up," he said.
The Citigroup economic surprise index fell to a new 18-month low Friday, following a recent rash of disappointing reports. When economic reports come in below economists' expectations, the surprise index falls and a low number for the index is reflecting the economic slowdown.
Source: Citigroup
Goldman Sachs economists Friday said they were expecting first quarter growth of just 0.9 percent, but they raised second quarter growth to 2.9 percent.

New home sales

In addition to the jobs report, there is the Fed's beige book on the economy Wednesday and new home sales Tuesday. But after delayed and weaker data, it's the jobs report that matters most. The employment report is one data point that has been released as normal through the shutdown, and in the January data, there was a huge upside surprise of 304,000 nonfarm payrolls.
"All eyes are on the job market. If businesses lose faith and they stop hiring, and job growth starts slowing, then we do have problems," said Mark Zandi, chief economist at Moody's Analytics. Economists expect wages to rise by 0.3 percent and unemployment to fall a tenth to 3.9 percent, according to Refinitiv.
"I think companies should stay steadfast in their hiring," Zandi said. He expects job growth of about 200,000 but notes there could be a payback for the huge amount of hires in January.
"I think the economy is fragile, growth is below trend. It's very vulnerable. The only thing that will keep it together is if businesses keep hiring and the job market holds up, and I think it will unless the president doesn't settle with the Chinese on trade, or there's a hard Brexit or some other geopolitical event," said Zandi.
The Federal Reserve has paused in its interest rate hiking because of the slowing economy and concerns about financial conditions. But the Fed could move forward on rates again, if inflation begins to pick up, and for that reason the wage data in the jobs report would also be key were it to show new wage pressures.
There are a few speeches by Fed officials, including Fed Chairman Jerome Powell who speaks at Stanford University Friday night at an economic conference.
Market focus will also be on the European Central Bank which meets Thursday.
"I think people are expecting some detail about a long-term loan operation," said Marc Chandler, chief market strategist at Bannockburn Global Forex. The ECB is expected to allow European banks to extend the duration of some short-term loans. Chandler said the ECB could also push back on its time frame on raising interest rates, which it has said would not be until after the summer.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR CHART LINK #1!)
(CLICK HERE FOR CHART LINK #2!)
(CLICK HERE FOR CHART LINK #3!)

Typical March Trading: Mid-Month Surge and Flat

Over the recent 21 years March has been a solid performing month for the market. Average gains over the period range from a low of 1.29% by NASDAQ to a respectable 2.0% by Russell 2000. March has also been the #1 performing month by average performance for S&P 500 and Russell 2000 over the last 21 years. First trading day of March gains typically kick of the month, followed by choppy to slightly higher trading until around the tenth or eleventh trading day when the market tends to surge higher until around the fifteenth trading day. At this point the market tends to cool and can succumb to some end-of-quarter selling pressure.
(CLICK HERE FOR THE CHART!)

Bad Q4 Not A Bad Sign

Now that the 4th quarter market debacle is behind us and solid gains have been logged in 2019 year-to-date we have taken a deeper dive into market action following Q4 losses for the three main U.S. market indices. DJIA and S&P 500 have been solid over the next for the next four quarters and the next year when Q1 is positive, but also good following all but three subsequent Q1 losses. On average up about 80% of the time for the full year with average gains around 8%. NASDAQ’s record is choppier.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for March 1st, 2019

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 3.3.19 - A Hanging Man at the Top of the Box

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $CRM
  • $NIO
  • $TGT
  • $WB
  • $PLUG
  • $KSS
  • $MGIC
  • $YY
  • $CIEN
  • $IPAR
  • $KR
  • $BZUN
  • $OKTA
  • $BCRX
  • $COST
  • $SINA
  • $SESN
  • $DLTR
  • $LUNA
  • $CTRP
  • $ANF
  • $MEET
  • $ACRX
  • $GDP
  • $SPKE
  • $ADMS
  • $URBN
  • $GNC
  • $GMS
  • $BURL
  • $LJPC
  • $BJ
  • $ADUS
  • $THO
  • $VNET
  • $MRVL
  • $GSKY
  • $GAIA
  • $ROST
  • $AEO
  • $TPB
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 4 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 3.4.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 3.4.19 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 3.5.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 3.5.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 3.6.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 3.6.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 3.7.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 3.7.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Friday 3.8.19 Before Market Open:

(CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Friday 3.8.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Salesforce $164.53

Salesforce (CRM) is confirmed to report earnings at approximately 4:05 PM ET on Monday, March 4, 2019. The consensus earnings estimate is $0.55 per share on revenue of $3.56 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 84% expecting an earnings beat The company's guidance was for earnings of $0.54 to $0.55 per share. Consensus estimates are for year-over-year earnings growth of 48.65% with revenue increasing by 24.87%. Short interest has increased by 18.5% since the company's last earnings release while the stock has drifted higher by 18.8% from its open following the earnings release to be 15.4% above its 200 day moving average of $142.59. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, February 27, 2019 there was some notable buying of 5,030 contracts of the $165.00 call expiring on Friday, June 21, 2019. Option traders are pricing in a 7.0% move on earnings and the stock has averaged a 3.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

NIO Inc. $10.06

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, March 5, 2019. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for revenue of $418.00 million to $436.00 million. The stock has drifted higher by 39.3% from its open following the earnings release. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, February 25, 2019 there was some notable buying of 40,151 contracts of the $9.00 call expiring on Friday, March 15, 2019. Option traders are pricing in a 11.9% move on earnings and the stock has averaged a 4.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Target Corp. $72.94

Target Corp. (TGT) is confirmed to report earnings at approximately 6:30 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $1.53 per share on revenue of $23.15 billion and the Earnings Whisper ® number is $1.55 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 11.68% with revenue increasing by 1.69%. Short interest has decreased by 7.7% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 5.5% below its 200 day moving average of $77.16. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 19, 2019 there was some notable buying of 43,529 contracts of the $80.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 6.7% move on earnings and the stock has averaged a 6.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Weibo Corporation $72.07

Weibo Corporation (WB) is confirmed to report earnings at approximately 5:00 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $0.75 per share on revenue of $481.53 million and the Earnings Whisper ® number is $0.78 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat The company's guidance was for revenue of $480.00 million to $490.00 million. Consensus estimates are for year-over-year earnings growth of 19.05% with revenue increasing by 27.58%. Short interest has increased by 20.4% since the company's last earnings release while the stock has drifted higher by 16.9% from its open following the earnings release to be 2.0% below its 200 day moving average of $73.57. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 12, 2019 there was some notable buying of 1,610 contracts of the $75.00 call expiring on Friday, July 19, 2019. Option traders are pricing in a 9.4% move on earnings and the stock has averaged a 5.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Plug Power, Inc. $1.80

Plug Power, Inc. (PLUG) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, March 7, 2019. The consensus estimate is for a loss of $0.05 per share on revenue of $58.78 million and the Earnings Whisper ® number is ($0.05) per share. Investor sentiment going into the company's earnings release has 55% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 44.44% with revenue increasing by 84.42%. Short interest has increased by 6.8% since the company's last earnings release while the stock has drifted lower by 8.2% from its open following the earnings release to be 12.6% below its 200 day moving average of $2.06. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 20.0% move on earnings and the stock has averaged a 7.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Kohl's Corporation $68.10

Kohl's Corporation (KSS) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $2.17 per share on revenue of $6.79 billion and the Earnings Whisper ® number is $2.19 per share. Investor sentiment going into the company's earnings release has 55% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.04% with revenue increasing by 0.21%. Short interest has decreased by 12.0% since the company's last earnings release while the stock has drifted higher by 8.3% from its open following the earnings release to be 4.3% below its 200 day moving average of $71.15. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, February 27, 2019 there was some notable buying of 3,138 contracts of the $75.00 put expiring on Friday, March 15, 2019. Option traders are pricing in a 8.3% move on earnings and the stock has averaged a 5.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Magic Software Enterprises, Ltd. $9.15

Magic Software Enterprises, Ltd. (MGIC) is confirmed to report earnings at approximately 7:30 AM ET on Monday, March 4, 2019. The consensus earnings estimate is $0.14 per share on revenue of $73.75 million. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 27.27% with revenue increasing by 11.59%. Short interest has decreased by 80.9% since the company's last earnings release while the stock has drifted higher by 8.0% from its open following the earnings release. Overall earnings estimates have been revised lower since the company's last earnings release.

(CLICK HERE FOR THE CHART!)

YY Inc. $70.88

YY Inc. (YY) is confirmed to report earnings at approximately 5:30 PM ET on Monday, March 4, 2019. The consensus earnings estimate is $1.86 per share on revenue of $641.65 million and the Earnings Whisper ® number is $1.91 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for revenue of $630.00 million to $652.00 million. Consensus estimates are for earnings to decline year-over-year by 0.53% with revenue increasing by 15.12%. Short interest has decreased by 13.8% since the company's last earnings release while the stock has drifted higher by 13.9% from its open following the earnings release to be 10.4% below its 200 day moving average of $79.10. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, February 20, 2019 there was some notable buying of 1,504 contracts of the $75.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 9.0% move on earnings and the stock has averaged a 10.9% move in recent quarters.

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Ciena Corporation $42.76

Ciena Corporation (CIEN) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, March 5, 2019. The consensus earnings estimate is $0.30 per share on revenue of $757.37 million and the Earnings Whisper ® number is $0.34 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat The company's guidance was for revenue of $745.00 million to $775.00 million. Consensus estimates are for year-over-year earnings growth of 130.77% with revenue increasing by 17.22%. Short interest has decreased by 7.2% since the company's last earnings release while the stock has drifted higher by 19.6% from its open following the earnings release to be 39.2% above its 200 day moving average of $30.72. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, March 1, 2019 there was some notable buying of 1,235 contracts of the $28.00 put expiring on Friday, July 19, 2019. Option traders are pricing in a 9.9% move on earnings and the stock has averaged a 8.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Inter Parfums Inc. $75.24

Inter Parfums Inc. (IPAR) is confirmed to report earnings at approximately 7:45 AM ET on Monday, March 4, 2019. The consensus earnings estimate is $0.19 per share on revenue of $177.22 million and the Earnings Whisper ® number is $0.21 per share. Investor sentiment going into the company's earnings release has 53% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 35.71% with revenue increasing by 18.52%. Short interest has increased by 27.9% since the company's last earnings release while the stock has drifted higher by 20.0% from its open following the earnings release to be 24.1% above its 200 day moving average of $60.61. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 2.8% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
Have a fantastic weekend and a great trading week ahead to everyone here on stocks! :)
submitted by bigbear0083 to stocks [link] [comments]

Seeking honest career advice! Airline pilot, stick with development, or what? What should I do?

Hello everyone so I need some real world advice. I'm young at 26yrs old and have a wife and kids and need a stable income to support my family. No I'm not talking about $10hr because honestly we all know that's not going to pay the bills.
My background is lawn care/horticulture as I owned my own business and worked at a few lawn treatment companies. My last venture was my own business and I brought on a business partner and he was a friend and ended up taking advantage of me and I ended up going out of business as I was honestly tired of it and the instability that comes with owning a lawn treatment business.
I wanted a career that would benefit myself as well as my family. I really liked doing my own website and my wife's business site and I made the jump and went to a coding boot camp that verbally agreed to help me get a job after and well they haven't helped. They got my money and that's it. I was one of the best in my class and still almost a year later jobless. Partly because there's too many fish in the sea that do have tons of experience and partly because I'm having to focus a lot on applying to jobs instead of working on my skills. I have a family to support so I can't just sit for months trying to learn more with hopes of finding a job.
I'm asking for real advice. Please don't sugar coat it. I've been told these coding boot camps are what they are and I fell for it. No guarantee of a job as they just want my money and honestly I fell for it as do many others. I have class mates that are still jobless as well so it's not just me. I don't have Years to build a portfolio and do free or cheap projects to increase my chances.
I don't want to go back to lawn care as I have my reasons such as I can't afford to work for $12hr which is the going rate for a lawn tech and really don't want to be outside all of my life working for pennies.
I've thought about going to a flight school such as atp flight school to become an airline pilot. They guarantee a cfi job that pays $40k yr roughly and seem to be transparent with the process of getting hired at an airline (takes 2yrs of being a cfi) which id be okay with. But I'll also be $70k in debt but I'll have a log book to show my skills and proficiency and have some real world skills. Before you ask yes I've flown before. I have 32hrs towards my private license ppl but couldn't afford to finish at the time. I do know it would be stable as everyone travels and once I make it to an airline I'd be set. At first things would be tough with scheduling and all but like I said once I get a year in at a regional I'd be set.
I've also considered doing forex trading. I have a few people in my network that do it and make good money. Well great money and have given me access to over 40 videos to take me from not knowing anything to apparently a very good trader. Of course there would be no benefits and not a stable income. But something I have considered.
Other than them two options I'm out of ideas. I can't really afford to attend college to get a BS computer science degree as the college itself would be pricey as well as I'd have to probably take an extra year to catch up on classes to qualify for the computer science track. So realistically 5yrs of college and no income. Just doesn't seem logical for my situation. I know the atp flight school course is 180 days and I'd be a cfi making money and I've talked to a few smaller airports locally and they are always hiring cfis as most work there for a year or so then transition to an airline.
Once again these are just my ideas and I'm seeking brutally honest input. I'm okay with taking out a student loan to learn if that's what it'll take to get a real job making more than $12hr.
submitted by xoibsurferx to careerguidance [link] [comments]

Subreddit Stats: cs7646_fall2017 top posts from 2017-08-23 to 2017-12-10 22:43 PDT

Period: 108.98 days
Submissions Comments
Total 999 10425
Rate (per day) 9.17 95.73
Unique Redditors 361 695
Combined Score 4162 17424

Top Submitters' Top Submissions

  1. 296 points, 24 submissions: tuckerbalch
    1. Project 2 Megathread (optimize_something) (33 points, 475 comments)
    2. project 3 megathread (assess_learners) (27 points, 1130 comments)
    3. For online students: Participation check #2 (23 points, 47 comments)
    4. ML / Data Scientist internship and full time job opportunities (20 points, 36 comments)
    5. Advance information on Project 3 (19 points, 22 comments)
    6. participation check #3 (19 points, 29 comments)
    7. manual_strategy project megathread (17 points, 825 comments)
    8. project 4 megathread (defeat_learners) (15 points, 209 comments)
    9. project 5 megathread (marketsim) (15 points, 484 comments)
    10. QLearning Robot project megathread (12 points, 691 comments)
  2. 278 points, 17 submissions: davebyrd
    1. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes (37 points, 10 comments)
    2. Project 1 Megathread (assess_portfolio) (34 points, 466 comments)
    3. marketsim grades are up (25 points, 28 comments)
    4. Midterm stats (24 points, 32 comments)
    5. Welcome to CS 7646 MLT! (23 points, 132 comments)
    6. How to interact with TAs, discuss grades, performance, request exceptions... (18 points, 31 comments)
    7. assess_portfolio grades have been released (18 points, 34 comments)
    8. Midterm grades posted to T-Square (15 points, 30 comments)
    9. Removed posts (15 points, 2 comments)
    10. assess_portfolio IMPORTANT README: about sample frequency (13 points, 26 comments)
  3. 118 points, 17 submissions: yokh_cs7646
    1. Exam 2 Information (39 points, 40 comments)
    2. Reformat Assignment Pages? (14 points, 2 comments)
    3. What did the real-life Michael Burry have to say? (13 points, 2 comments)
    4. PSA: Read the Rubric carefully and ahead-of-time (8 points, 15 comments)
    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

Top Commenters

  1. tuckerbalch (2296 points, 1185 comments)
  2. davebyrd (1033 points, 466 comments)
  3. yokh_cs7646 (320 points, 177 comments)
  4. rgraziano3 (266 points, 147 comments)
  5. j0shj0nes (264 points, 148 comments)
  6. i__want__piazza (236 points, 127 comments)
  7. swamijay (227 points, 116 comments)
  8. _ant0n_ (205 points, 149 comments)
  9. ml4tstudent (204 points, 117 comments)
  10. gatechben (179 points, 107 comments)
  11. BNielson (176 points, 108 comments)
  12. jameschanx (176 points, 94 comments)
  13. Artmageddon (167 points, 83 comments)
  14. htrajan (162 points, 81 comments)
  15. boyko11 (154 points, 99 comments)
  16. alyssa_p_hacker (146 points, 80 comments)
  17. log_base_pi (141 points, 80 comments)
  18. Ran__Ran (139 points, 99 comments)
  19. johnsmarion (136 points, 86 comments)
  20. jgorman30_gatech (135 points, 102 comments)
  21. dyllll (125 points, 91 comments)
  22. MikeLachmayr (123 points, 95 comments)
  23. awhoof (113 points, 72 comments)
  24. SharjeelHanif (106 points, 59 comments)
  25. larrva (101 points, 69 comments)
  26. augustinius (100 points, 52 comments)
  27. oimesbcs (99 points, 67 comments)
  28. vansh21k (98 points, 62 comments)
  29. W1redgh0st (97 points, 70 comments)
  30. ybai67 (96 points, 41 comments)
  31. JuanCarlosKuriPinto (95 points, 54 comments)
  32. acschwabe (93 points, 58 comments)
  33. pharmerino (92 points, 47 comments)
  34. jgeiger (91 points, 28 comments)
  35. Zapurza (88 points, 70 comments)
  36. jyoms (87 points, 55 comments)
  37. omscs_zenan (87 points, 44 comments)
  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
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