548 Forex Trading Basics PPTs View free & download ...

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]

Six Days With iMarketsLive and what I think of what they have to offer- since I have not found anything more in my research than "they're an obvious scam- it's not worth your time" and no actual reviews of what they do.

First my expectations:
I've been looking at iML as a way to get a 'mentored start' with forex trading- As well as to get access to take a look at what kinds of trades some more experienced traders are making- in order to add that to my own fledgling market exposure. I had also hoped that if I could identify when one of their traders was making a very obvious good move I'd be able to mirror the trade, and make a bit of profit. I stepped in fully prepared to withstand all their bro-hype making it very clear that I would never involve myself in their bullshit pyramid recruiting. My two goals were to see if my education could be expedited, and to make enough to pay off the monthly fee.
Here's what I got: Immediately my "mentor" sent me a plan that I was to follow (without skipping ahead) listing my progression through their forex education program.
The first 30 days (which cost ~$220) was learning forex trading basics buy watching a series of 5-10 minute PPT presentation videos introducing you to forex trading for 1 hour each day. and it seems like good information, but as far as I can tell it doesn't seem like anything you couldn't learn for free. I fully expect babypips to have all the same information and probably presented in much clearer terms.)
The next 30 days (~$190) is tuning in to live or recorded videos to watch iML traders analyzing charts and trading, probably showing how they use stop losses, draw trendlines etc. At this point we are directed to consult our mentor to choose a non U.S. regulated broker that will let us use the leverages used in the strategies they employ, and then start a demo trading on metatrader.
The next 60 days (2 months x $190) is continuing to demo trade while subscribing ($15 monthly) to the swipetrades app (which seems to me like mirror trading (basically you look at trades other iML people [of your choice] have made and swipe left to reject, swipe right to copy all the trade info -entry points, stop losses etc- for pasting into MT4) and continuing to watch the iML TV traders. You are also supposed to subscribe to the super bro-powered harmonic analyzer at this point (another $15/month) which you hook up to your MT4 account and set up alerts or something, but apparently you have to leave it ruining on your PC at home all day? I'm seeing that a lot of new recruits keep complaining in the group chat that they can't get their computer to stay awake and ensure they get their mobile alerts. (Any chance having their "harmonic analyzer" running 24/7 while your away could be sketchy?)
After these 4 months of education and practice that cost you ($850-$910) you may fund your account and begin trading.
Observed cons: -Well... The whole thing is a con if you ask me. Can any of you tell me any one thing I've mentioned that you cannot access for free elsewhere? -You have to pay $190/month for the privilege of subscribing to a $60/month service. That's pretty well bullshit. -CONSTANT STREAMS OF BRO TALK, ENDLESS BRAINWASHING ABOUT HOW GREAT iML IS, AND THE iML "FAMILY." -generally no "negative" attitudes/messages are allowed in the iML Telegram chat rooms. This pretty much just means that they don't appreciate it much if you talk too much about any losing streaks you may be on, or (more probably) if you notice you're making consistent losses by following any particular iML trader. In my opinion the fact that this was mentioned at all is a huge strike against any potential transparency about how this all actually works out for the average recruit.
Pros: In actually digging the idea of a very active forex chatroom where people comment on their predictions for what's going to happen with which pairs, and how previous trades turned out for them where you get mobile notifications when traders post. If it was treated more professionally in a more mature crowd, without all the pretention of "family" (the truth is we're ALL competing here), and the bro talk, and with the disclaimer that you're responsible for your own risks, this could be a great learning tool. If there is something similar out there that I'm unaware of, if love to hear about it.
Anyhow that's my $0.02. Now I'm off to go cancel my account and get my refund. Cheers!
TL;DR: they're an obvious scam, not worth your time.
submitted by NOTtheSCMC to Forex [link] [comments]

Daily Trading Thread - Tuesday 2.27.18

Hi everyone! Thanks for joining. This sub is for active traders of crypto and stocks, those looking to make a fat YUGE profit. While all are welcome, we are more geared for traders with a serious mindset. Post your ideas for today here.
Follow us on StockTwits and chat live on our Discord: trader chat.
Wiki: resources
FINVIZ HEATMAP - FINVIZ FUTURES - FOREX - NEWS FEED
FEB 27th TUE Fear & Greed Index
Economic Calendar: Results & More
Time Release For Actual Expected Prior
8:30:00 AM Durable Orders Jan -3.70% -2.00% 2.60%
8:30:00 AM Durable Goods –ex transportation Jan -0.30% 0.50% 0.70%
8:30:00 AM International Trade in Goods Jan -$74.4B -$72.2B -$72.3B
9:00:00 AM S&P Case-Shiller Home Price Index Dec 6.30% 6.40% 6.40%
9:00:00 AM FHFA Housing Price Index Dec 0.30% 0.40% 0.50%
10:00:00 AM Consumer Confidence Feb - 127.50 126.50
Ex-Dividend: Calendar
Ex- Div Company Amt Yield
AGN Allergan Rg 0.72 0.02
AGNC AGNC Investment Rg 0.18 0.11
AYR Aircastle Rg 0.28 0.05
BLKB BLACKBAUD 0.12 0.00
BMI Badger Meter Rg 0.13 0.01
BOH Bank Of Hawaii Rg 0.52 0.02
CAKE Cheesecake Facto Rg 0.29 0.02
CFR Cullen/Frost Ban Rg 0.57 0.02
CLDT Chath L REIT-SBI Rg 0.11 0.07
COTY Coty Rg-A 0.13 0.03
CPF Central Pacific Rg 0.19 0.02
CR Crane Co Rg 0.35 0.01
CTT CatchMark REIT Rg-A 0.14 0.04
DOV Dover Corp Rg 0.47 0.02
EBIX Ebix Rg 0.08 0.00
EL Estee Lauder Rg-A 0.38 0.01
EPR EPR PROPERTIES 0.36 0.07
FDS FactSet Resh Sys Rg 0.56 0.01
GLW Corning Inc Rg 0.18 0.02
HFC HollyFrontier Rg 0.33 0.04
HUBB Hubbell Rg 0.77 0.02
KINS Kingstone Cos Rg 0.10 0.01
KNSL Kinsale Capital Rg 0.07 0.00
L Loews Rg 0.06 0.00
LBY Libbey Rg 0.12 0.08
MBCN Middlefield Banc Rg 0.33 0.02
MDP Meredith Rg 0.55 0.04
MINI Mobile Mini Rg 0.25 0.02
MLAB Mesa Laboratorie Rg 0.16 0.00
NWL Newell Brands Rg 0.23 0.03
OPOF Old Point Financ Rg 0.11 0.02
ORC Orcd Isl Cl REIT Rg 0.11 0.22
PBF PBF Ener Rg-A 0.30 0.04
PBNC PARAGON COMMERCIAL 0.34 0.00
PFIS Peoples Fin Serv Rg 0.32 0.03
POWI Power Integratio Rg 0.16 0.01
PVH PVH Rg 0.04 0.00
QCOM Qualcomm Rg 0.57 0.03
RLI RLI Rg 0.21 0.04
SNI Scripps Ntwks Rg-A 0.30 0.03
SON Sonoco Products Rg 0.39 0.03
STAG Stag Industr REI Rg 0.12 0.07
STE STERIS Rg 0.31 0.01
STI Suntrust Banks I Rg 0.40 0.02
TNC Tennant Co Rg 0.21 0.01
UNP Union Pacific Rg 0.73 0.02
UVE Universal Ins Hl Rg 0.14 0.02
VOYA Voya Financial Rg 0.01 0.00
YORW York Water Rg 0.17 0.02
YUMC Yum China Hld-WI Rg 0.10 0.00
Earnings Reports: Morningstar Earnings Calendar & Results
Company Release Est. EPS Company Release Est. EPS
AAON (AAON) Morning 0.24 Juno Therapeutics (JUNO) Afternoon -1.01
ACADIA Pharmaceuticals (ACAD) Afternoon -0.58 Kaman (KAMN) Afternoon 0.98
Acceleron Pharma (XLRN) Morning -0.60 Keane Group (FRAC) Morning 0.27
AES (AES) Morning 0.32 Kewaunee Scientific (KEQU) Afternoon N/A
Albemarle (ALB) Afternoon 1.21 Kindred Biosciences (KIN) Afternoon -0.33
Alimera Sciences (ALIM) Afternoon -0.03 Koppers (KOP) Morning 0.49
Amarin (AMRN) Morning -0.05 Ladder Capital (LADR) Afternoon 0.40
Amedisys (AMED) Afternoon 0.58 Lamar Advertising (LAMR) Morning 1.25
American Tower (AMT) Morning 1.63 Lexington Realty Trust (LXP) Morning 0.25
Amicus Therapeutics (FOLD) Morning -0.29 LGI Homes (LGIH) Morning 1.36
ANI Pharmaceuticals (ANIP) Morning 1.07 Lowe's Companies (LOW) Morning 0.86
Atara Biotherapeutics (ATRA) Morning -1.14 Lumber Liquidators (LL) Morning 0.09
AveXis (AVXS) Afternoon -1.64 Macy's (M) Morning 2.50
B&G Foods (BGS) Afternoon 0.56 Magellan Health (MGLN) Morning 2.29
Balchem (BCPC) Morning 0.62 Mallinckrodt (MNK) Morning 1.69
Bank of Montreal (BMO) Morning 1.63 MannKind (MNKD) Afternoon -0.29
Bank of Nova Scotia (BNS) Morning 1.31 Marriott Vacations Worldwide (VAC) Morning 1.16
Best Buy (BBY) Morning 1.99 Masimo (MASI) Afternoon 0.61
Big 5 Sporting Goods (BGFV) Afternoon 0.23 MasTec (MTZ) Afternoon 0.37
Bill Barrett (BBG) Afternoon -0.07 McGrath RentCorp (MGRC) Afternoon 0.51
Bitauto (BITA) Morning 0.25 Merrimack Pharmaceuticals (MACK) Morning -0.28
Blackhawk Network (HAWK) Afternoon 1.28 MoSys (MOSY) Morning -0.09
BMC Stock (BMCH) Morning 0.26 Nabors Industries (NBR) Afternoon -0.33
Booking (PCLN) Afternoon 14.08 NanoString Technologies (NSTG) Afternoon -0.44
BOX (BOX) Afternoon -0.08 Nexstar Media Group (NXST) Morning 1.36
Broadcom (AVGO) Afternoon 4.40 NN (NNBR) Afternoon 0.31
Broadwind Energy (BWEN) Morning -0.33 Noodles & Co (NDLS) Afternoon -0.01
Callon Petroleum (CPE) Afternoon 0.13 Oasis Midstream Partners (OMP) Afternoon 0.41
Camping World (CWH) Afternoon 0.23 Oasis Petroleum (OAS) Afternoon 0.05
Capital Senior Living (CSU) Afternoon -0.23 Office Depot (ODP) Morning 0.07
Capitala Finance (CPTA) Afternoon 0.27 Omega Protein (OME) Afternoon 0.24
Care.com (CRCM) Morning 0.17 Ophthotech (OPHT) Morning -0.55
Caretrust REIT (CTRE) Afternoon 0.18 Opko Health (OPK) Afternoon -0.08
Casella Waste Systems (CWST) Afternoon 0.09 Outfront Media (OUT) Afternoon 0.27
Catasys (CATS) N/A -0.13 Oxford Immunotec Global (OXFD) Morning -0.36
China Yuchai International (CYD) Morning N/A Pacira Pharmaceuticals (PCRX) Morning 0.11
Coca-Cola Bottling Co Consolidated (COKE) Afternoon 1.13 Papa John's Int'l (PZZA) N/A 0.67
Community Health Systems (CYH) Afternoon -0.34 Performant Financial (PFMT) Afternoon -0.03
Core-Mark (CORE) Morning 0.49 Perrigo (PRGO) Morning 1.23
Corenergy Infrastructure Trust (CORR) Afternoon 0.48 PHH (PHH) Afternoon -1.02
Crocs (CROX) Morning -0.39 Platform Specialty Products (PAH) Morning 0.24
Cross Country Healthcare (CCRN) Afternoon 0.19 PNM Resources (PNM) Morning 0.19
CSI Compressco (CCLP) Morning -0.26 Pointer Telocation (PNTR) Morning 0.22
Darling Ingredients (DAR) Afternoon 0.15 Premier Financial Bancorp (PFBI) N/A N/A
Depomed (DEPO) Afternoon 0.10 Primoris Services (PRIM) Morning 0.23
Dillard's (DDS) Morning 1.77 Puma Biotechnology (PBYI) Afternoon -1.97
Discovery Communications (DISCB) Morning N/A Pure Storage (PSTG) Afternoon 0.07
Discovery Communications (DISCK) Morning N/A Range Resources (RRC) Afternoon 0.16
Discovery Communications (DISCA) Morning 0.43 Realogy (RLGY) Morning 0.23
Dycom Industries (DY) Morning 0.35 Recro Pharma (REPH) Morning -0.90
e.l.f. Beauty (ELF) Afternoon 0.13 Rice Midstream Partners (RMP) Afternoon 0.44
Eaton Vance (EV) Morning 0.70 RLJ Lodging Trust (RLJ) Afternoon 0.13
Ecopetrol (EC) Afternoon 0.30 Rogers (ROG) Afternoon 1.41
El Paso Electric (EE) Morning 0.21 RR Donnelley & Sons (RRD) Afternoon 0.70
Endo International (ENDP) Morning 0.61 Seaspan (SSW) Afternoon 0.20
Envision Healthcare (EVHC) Afternoon 0.44 SeaWorld Entertainment (SEAS) Morning -0.19
EP Energy (EPE) Afternoon N/A Sempra Energy (SRE) Afternoon 1.40
EV Energy Partners (EVEP) Morning N/A Senior Housing Properties Trust (SNH) Morning 0.28
Express Scripts (ESRX) Afternoon 2.08 Seritage Growth Properties (SRG) Afternoon 0.49
Extraction Oil & Gas (XOG) Afternoon 0.02 Servicemaster Global (SERV) Morning 0.34
Federated National (FNHC) Afternoon 0.48 Ship Finance International (SFL) Morning 0.30
FibroGen (FGEN) Afternoon -0.25 Sierra Oncology (SRRA) Morning -0.22
First Trust High Income Long/short Fund (FSD) N/A N/A Sonic Automotive (SAH) Morning 0.81
Foamix Pharmaceuticals (FOMX) Afternoon -0.47 Sotherly Hotels (SOHO) Morning -0.08
Fomento Economico Mexicano SAB (FMX) Afternoon 1.08 Southwest Gas (SWX) Afternoon 1.50
Foresight Energy (FELP) Morning -0.12 Spok (SPOK) Afternoon N/A
Forestar Group (FOR) N/A N/A Star Bulk Carriers (SBLK) Morning 0.10
Fortress Transprtn and Infr Investrs (FTAI) Afternoon 0.11 Steven Madden (SHOO) Morning 0.46
Foundation Building Materials (FBM) Morning 0.03 SunOpta (STKL) Morning -0.04
Fox Factory (FOXF) Afternoon 0.33 Systemax (SYX) Afternoon 0.34
Franks International (FI) Morning -0.10 TCP Capital (TCPC) Morning 0.38
Fresenius Medical Care AG & Co. (FMS) Morning 0.61 TETRA Technologies (TTI) Morning -0.02
Frontier Communications (FTR) Afternoon -1.03 TiVo (TIVO) Afternoon 0.26
GCP Applied Technologies (GCP) Morning 0.23 Toll Brothers (TOL) Morning 0.54
Genco Shipping & Trading Limited Ordinary Shares New (Marshall Islands) (GNK) Afternoon -0.03 TopBuild (BLD) Morning 0.81
General Communication (GNCMA) Afternoon N/A TriMas (TRS) Morning 0.32
Gray Television (GTN) Morning 0.25 TriNet Group (TNET) Afternoon 0.47
Great Ajax (AJX) Afternoon 0.42 Tutor Perini (TPC) Afternoon 0.50
Health Insurance Innovations (HIIQ) Afternoon 0.34 Universal Health Realty Income Trust (UHT) N/A N/A
Heico (HEI) Afternoon 0.52 Universal Health Services (UHS) Afternoon 1.84
Heico (HEI.A) Afternoon N/A Vale (VALE) Afternoon 0.24
Heritage-Crystal Clean (HCCI) Afternoon 0.21 Veeva Systems (VEEV) Afternoon 0.20
Huron Consulting Group (HURN) Afternoon 0.75 Verona Pharma plc - American Depositary Share (VRNA) Morning -0.83
ICU Medical (ICUI) Afternoon 1.04 Vitamin Shoppe (VSI) Morning -0.20
Imax (IMAX) Morning 0.40 W&T Offshore (WTI) Afternoon 0.07
Impax Laboratories (IPXL) Morning 0.12 Weight Watchers International (WTW) Afternoon 0.31
Integra Lifesciences (IART) Morning 0.56 Winmark (WINA) N/A N/A
InterXion (INXN) N/A 0.20 Wright Medical Group (WMGI) Afternoon 0.05
Ituran Location and Control Ltd. (US) (ITRN) Morning N/A Xcerra (XCRA) Morning 0.17
Jazz Pharmaceuticals (JAZZ) Afternoon 2.98 Zosano Pharma (ZSAN) N/A -0.24
PRE-MARKET MOVERS: $MNK $M $PANW $DGAZ $ESV $DBVT $KSS $UVXY $VXX $DWT $FEYE
ROCKET BOT - FINVIZ TOP GAINERS - FINVIZ TOP LOSERS
Crypto Watch List: XRB BTC XLM LTC ETH WTC ETC OMG POE ICX FUN STEEM VEN GAS NEO XRP PPT SALT LEND XVG EOS SC ZCL
COIN MARKET CAP - COINDESK NEWS - RISING/FALLING - COIN 360 HEATMAP
Disclaimer: The opinions in this thread and forum are solely the opinions of the individual account holders and contributors. The info should not be regarded as investment advice or as a recommendation of any particular security. All investments entail risks. As with most things in life, caveat emptor.
submitted by theprofitgod to The_Profit [link] [comments]

Daily Trading Thread - Thursday 2.22.18

Hi everyone! Thanks for joining. This sub is for active traders of crypto and stocks, those looking to make a fat YUGE profit. While all are welcome, we are more geared for traders with a serious mindset. Post your ideas for today here.
Follow us on StockTwits and chat live on our Discord: trader chat.
Wiki: resources
FINVIZ HEATMAP - FINVIZ FUTURES - FOREX - NEWS FEED
FEB 22nd THU Fear & Greed Index
Economic Calendar: Results & More
Time Release For Actual Expected Prior
8:30:00 AM Initial Claims 17-Feb-18 222K 233K 229K
8:30:00 AM Continuing Claims 10-Feb-18 1875K NA 1948K
10:00:00 AM Leading Indicators Jan - 1.00% 0.80%
10:30:00 AM Natural Gas Inventories 17-Feb-18 - NA NA
11:00:00 AM Crude Inventories 17-Feb-18 - NA NA
Ex-Dividend: Calendar
Ex- Div Company Amt Yield
AHL Aspen Insurance Rg 0.24 0.03
AVA Avista Rg 0.37 0.03
AVX Avx Rg 0.12 0.02
B Barnes Group Rg 0.14 0.01
BWINB BALDWIN&LYONS -B- 0.28 0.00
CBT Cabot Corp Rg 0.32 0.02
CCL Carnival 0.45 0.02
CMI Cummins Rg 1.08 0.03
DAL Delta Air Lines Rg 0.31 0.02
DHI D R Horton Rg 0.13 0.01
EVR Evercore-A Rg 0.40 0.01
FBHS Fortn Brnd Hom S Rg 0.20 0.01
FLIR FLIR Systems Rg 0.16 0.01
FTV Fortive Rg 0.07 0.00
GBNK Guaranty Bancorp Rg 0.16 0.02
GPRE Green Plains Rg 0.12 0.04
HCC Warrior Met Coal Rg 0.05 0.49
HII Huntgtn Ingls In Rg 0.72 0.01
HON Honeywell Intl Rg 0.75 0.02
HR Healthcare RltyR Rg 0.30 0.04
HSY Hershey Rg 0.66 0.03
LB L Brands Rg 0.60 0.05
MAR Marriott Intl Rg-A 0.33 0.01
NBHC Natl Bank Hldg Rg-A 0.09 0.01
NVDA NVIDIA Rg 0.15 0.00
OGS ONE Gas Rg 0.46 0.02
PDM Piedmont REIT Rg-A 0.21 0.05
RHI Robert Half Intl Rg 0.28 0.02
SMG Scotts Miracle-A- 0.53 0.02
TER Teradyne Rg 0.09 0.01
USLM US Lime & Minera Rg 0.14 0.01
VALU Value Line Inc Rg 0.20 0.00
VMC Vulcan Materials Rg 0.28 0.01
WD Walker & Dunlop Rg 0.25 0.00
Earnings Reports: Morningstar Earnings Calendar & Results
Company Release Est. EPS Company Release Est. EPS
Achillion Pharmaceuticals (ACHN) Morning -0.16 Iridium Communications (IRDM) Morning 0.11
ACI Worldwide (ACIW) Morning 0.48 KBR (KBR) Morning 0.30
Acorn International (ATV) Morning N/A Kennedy-Wilson (KW) Afternoon -0.16
ADMA Biologics (ADMA) N/A -0.33 Leidos (LDOS) Morning 0.85
Advanced Disposal Services (ADSW) Afternoon 0.14 LKQ (LKQ) Morning 0.42
Agree Realty (ADC) Afternoon 0.41 LSC Communications (LKSD) Morning 0.66
Air Lease (AL) Afternoon 0.87 Magellan Health (MGLN) Morning 2.30
Alamos Gold Inc (US) (AGI) Morning 0.05 Magna International (MGA) Morning 1.56
AllianceBernstein Global Hgh Incm Fd (AWF) N/A N/A Main Street Capital (MAIN) Afternoon 0.59
Alliant Energy (LNT) Afternoon 0.34 Marcus (MCS) Morning 0.38
Altisource Portfolio Solutions (ASPS) Morning 0.61 Marin Software (MRIN) Afternoon N/A
American Homes 4 Rent (AMH) Afternoon 0.26 Materialise (MTLS) N/A 0.02
American Railcar Industries (ARII) Morning 0.50 Maxar Technologies (MAXR) Afternoon 1.10
Apache (APA) Morning 0.11 MDC Partners (MDCA) Afternoon 0.22
Appian (APPN) Afternoon -0.18 Mercadolibre (MELI) Afternoon 0.51
Ardagh Group (ARD) Morning 0.33 MGE Energy (MGEE) N/A N/A
Assured Guaranty (AGO) Afternoon 0.71 Microvision (MVIS) Afternoon -0.07
Atlas Air Worldwide (AAWW) Morning 2.16 Mitel Networks (MITL) Morning 0.27
Barclays (BCS) Afternoon 0.13 National Bankshares (NKSH) N/A 0.56
Bel Fuse (BELFA) Morning N/A Nevro (NVRO) Afternoon -0.14
Bel Fuse (BELFB) Morning N/A Newmont Mining (NEM) Morning 0.37
Bioblast Pharma (ORPN) N/A N/A Nordson (NDSN) Afternoon 1.12
BioMarin Pharmaceutical (BMRN) Afternoon -0.27 Norwegian Cruise Line (NCLH) Morning 0.63
Bloomin' Brands (BLMN) Morning 0.39 Novocure (NVCR) Morning -0.14
Boise Cascade (BCC) Morning 0.30 Oceaneering International (OII) Afternoon -0.10
Brady (BRC) Morning 0.44 OGE Energy (OGE) Morning 0.28
BRF (BRFS) Afternoon 0.06 Orbital ATK (OA) Morning 1.79
Brightcove (BCOV) Afternoon -0.03 Orion Engineered Carbons (OEC) Afternoon 0.42
Brookdale Senior Living (BKD) Morning -0.25 Pebblebrook Hotel Trust (PEB) Afternoon 0.07
C&J Energy Services (CJ) Morning 0.25 Pembina Pipeline (PBA) Afternoon 0.42
Calgon Carbon (CCC) Morning 0.17 PharMerica (PMC) N/A 0.55
Canadian Imperial Bank of Commerce (CM) Morning 2.23 PPL (PPL) Morning 0.48
CenterPoint Energy (CNP) Morning 0.29 PPL (PPL) Morning 0.48
Century Aluminum (CENX) Afternoon 0.29 Quanta Services (PWR) Morning 0.44
Chart Industries (GTLS) Morning 0.31 Redfin (RDFN) Afternoon -0.04
Chesapeake Energy (CHK) Morning 0.25 RedHill Biopharma (RDHL) Morning -0.65
Civeo (CVEO) Morning -0.13 Repligen (RGEN) Morning 0.12
Coca-Cola FEMSA (KOF) Morning 0.98 SAGE Therapeutics (SAGE) Morning -1.98
Cogent Communications (CCOI) Morning 0.12 SCANA (SCG) Morning 0.98
Community Healthcare Trust (CHCT) Afternoon 0.36 Seadrill (SDRL) N/A N/A
Comstock Resources (CRK) Morning -0.91 Seadrill Partners (SDLP) Morning 0.04
Constellium (CSTM) Morning 0.10 Select Medical (SEM) Afternoon 0.19
Corcept Therapeutics (CORT) Afternoon 0.18 Shutterstock (SSTK) Morning 0.34
Covanta (CVA) Afternoon 0.21 Sibanye Gold (SBGL) Afternoon N/A
CVR Energy (CVI) Morning 0.12 Solar Capital (SLRC) Afternoon 0.42
CVR Refining (CVRR) Morning 0.20 Solar Senior Capital (SUNS) Afternoon 0.35
Data I/O (DAIO) Afternoon 0.14 SSR Mining (SSRM) Afternoon 0.14
Del Frisco's Restaurant Group (DFRG) Morning 0.42 Stantec (STN) Morning 0.36
Denbury Resources (DNR) Morning 0.07 Stepan (SCL) Morning 0.74
Diana Shipping (DSX) Morning -0.16 Store Capital (STOR) Morning 0.41
Echostar (SATS) Morning 0.11 Teekay (TK) Morning -0.04
Edison International (EIX) Afternoon 0.93 Teekay LNG Partners (TGP) Morning 0.32
eHealth (EHTH) Afternoon -1.21 Teekay Offshore Partners (TOO) Morning 0.10
Emerald Expositions Events (EEX) Morning -0.06 Teekay Tankers (TNK) Morning -0.06
Emergent Biosolutions (EBS) Afternoon 0.64 Teleflex (TFX) Morning 2.40
Envestnet (ENV) Afternoon 0.39 Telefonica Brasil (VIV) Afternoon 0.25
Enviva Partners (EVA) Morning 0.31 Telefonica (TEF) Morning 0.29
Erie Indemnity (ERIE) Afternoon 0.76 Telephone & Data Systems (TDS) Morning -0.08
Eversource Energy (ES) Afternoon 0.76 Tempur Sealy International (TPX) Morning 0.82
EXACT Sciences (EXAS) Afternoon -0.29 Tennant (TNC) Morning 0.34
First Solar (FSLR) Afternoon -0.32 Toro (TTC) Morning 0.44
Foot Locker (FL) Morning 1.21 Tower Semiconductor (TSEM) Morning 0.56
Galapagos (GLPG) Afternoon -0.71 Trade Desk (TTD) Afternoon 0.42
Gildan Activewear (GIL) Morning 0.31 Tremont Mortgage Trust (TRMT) Morning N/A
Godaddy (GDDY) Afternoon 0.10 Triton International (TRTN) Afternoon 0.80
Gogo (GOGO) Morning -0.48 Unit (UNT) Morning 0.19
Goldman Sachs BDC (GSBD) Afternoon 0.47 United States Cellular (USM) Morning -0.08
Graham (GHC) Morning N/A Universal Display (OLED) Afternoon 0.84
Harsco (HSC) Morning 0.14 Universal Electronics (UEIC) Afternoon 0.60
Herbalife (HLF) Afternoon 0.95 Vereit (VER) Morning 0.17
Hercules Capital (HTGC) Afternoon 0.29 Vicor (VICR) Afternoon N/A
Hewlett Packard Enterprise (HPE) Afternoon 0.24 Visteon (VC) Morning 1.73
Hormel Foods (HRL) Morning 0.44 Wayfair (W) Morning -0.53
Houghton Mifflin Harcourt (HMHC) Morning -0.90 Welltower (HCN) Morning 1.04
HP (HPQ) Afternoon 0.42 Wingstop (WING) Afternoon 0.16
Immersion (IMMR) Afternoon -0.18 Workiva (WK) Afternoon -0.37
Integer (ITGR) Afternoon 0.77 World Fuel Services (INT) Afternoon 0.61
Intuit (INTU) Afternoon 0.33 Zebra Technologies (ZBRA) Morning 2.12
Iridium Communications (IRDM) Morning 0.11 ZIX (ZIXI) Afternoon 0.08
PRE-MARKET MOVERS: $CHK $SPY $HMNY $QQQ $ROKU $TVIX $BAC $UVXY $NOK $DB $MIC $IWM $RAD $P $SGMO $CTRV $SQQQ $AAPL
ROCKET BOT - FINVIZ TOP GAINERS - FINVIZ TOP LOSERS
Crypto Watch List: XRB BTC PPT SALT LEND XVG OMG POE ICX FUN STEEM VEN GAS NEO XRP EOS SC ZCL XLM LTC ETH WTC ETC
COIN MARKET CAP - COINDESK NEWS - RISING/FALLING - COIN 360 HEATMAP
Disclaimer: The opinions in this thread and forum are solely the opinions of the individual account holders and contributors. The info should not be regarded as investment advice or as a recommendation of any particular security. All investments entail risks. As with most things in life, caveat emptor.
submitted by theprofitgod to The_Profit [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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