Point and Figure Charting download SourceForge.net

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]

Is Karatbit and Karatbars a scam?

On Tuesday 16th July, just a few weeks ago I was invited to attend a Karatbit, Karatbars/Karatbank presentation. The presentation was touting everything including a blockchain mobile phone. Someone had approached me over the weekend to investigate an investment, they had made with Karatbit/Karatbars. I attended the presentation with some research which, to be honest, was not that favourable to the company but nevertheless still went with an open mind.
KaratBank, a Singapore-based financial organization, has propelled another digital currency that it claims is bound to real physical gold. Is this a progressive thought – or a trick?
KaratBank, an organization located in Singapore, has quite recently declared the dispatch of KaratBank Coins (KBC), another digital currency it said is attached to gold. Be that as it may, not just the cost of gold, as different monetary forms — to real bits of gold: they're embedded in plastic cards or banknotes. In any event, that is the way it appears upon first sight.
KaratBank is a sister company of KaratBars International, located in Germany. KaratBars really sells gold in exceptionally small quantities (like 0.1g to 1g bullions), inserted into plastic cards (Karatbars) or money like notes (CashGold). The notes are famously overpriced: back when 1 gram of gold was $40, the 1g CashGold note cost $65.
As per KaratBank whitepaper, 10,000 KBC can be traded for 0.1g CashGold notes.
The initial coin offering kicked off earlier this year and proceeded until March 21, with the ICO starting March 22 (1 KBC = $0.05), Coin Telegraph reports.
Be that as it may, KaratBars International as an organization is emphatically connected with scams. A basic search for KaratBars on Google returns three connections with the word "scam" in them on the first page. KaratBars was prohibited in Canada in 2014 over an Autorité des marchés agents (AMF) with a Scam warning.
The Canadian government found that KaratBars executes some kind of multi-layered marketing (MLM), or "pyramid" scheme organisation that urged individuals to get new recruits and profit from their sales, promising a return of $15,000 to $136,000 every month.
In any case, Is KaratBank is a different story? All things considered, yes and no. Upon a more intensive look at the organization's whitepaper, one finds the following:
"United States of America citizens, residents (tax or otherwise) or green card holders, as well as residents of Canada, the People's Republic of China or the Republic of Singapore, are not qualified to partake in the KaratBank ICO."
As indicated by the Behind MLM site, the explanation behind this may lie in the way that those nations have actualized strict regulation on ICOs, and KaratBank does not have any desire to have anything to do with them.
"ICOs are not unlawful in the US or Canada. In the US, however, ICOs are ordinarily viewed as securities and require registration with the [Securities and Exchange Commission]," the site reads. "Singapore hasn't prohibited ICOs however it is one of the nations KaratBars International works in through the shell companies KaratPay and KaratBars Singapore. Singapore regulators closing those organizations down would cripple KaratBars International. The board most likely figure it's best not to take any risks."
To work lawfully in any purview, KaratBars International would need to register itself with the proper securities regulator in that jurisdiction, which the organization appears to need to abstain from, raising doubts.
From one's point of view what is disheartening is that blockchain is a great new technology and companies like this seem to mix their existing business with cryptocurrencies. Knowing full well that the general public does not really understand cryptocurrencies, let alone blockchain or Distributed Ledger Technology (DLT). As a blockchain consultant, one feels obligated to pose some questions anyone thinking of getting involved should be asking.
At the presentation, I heard the presenters say “ Karatbars is giving its members the opportunity to buy gold in small quantities. They also encourage you to save in gold instead of paper money. This can easily be done by buying as little as 0.1 gram of gold or 1 gram - 2.5 gram or 5 grams.”
They said members can keep their gold in Karatbars' vault or ask them to send it to you. Cash gold is the most popular form of buying gold as the gold is embedded in a banknote. 24kt gold 99.9% pure makes it easier for anyone to accumulate wealth.
Karatbars is also involved in cryptocurrency and got their own coins, namely KBC and KCB coins. I'm going to get very deep into this, but the main thing to remember is that they say, “these coins are increasing in value and that it is backed by gold”. whereas and another Cryptocurrency is backed by nothing.
As a self-proclaimed proponent of blockchain and a graduate of Digital Forensics, I feel obligated to say a few words about this presentation on Karatbit or at least as a conscious citizen of this global world of technology users. Blockchain is a magnificent emerging technology that can be harnessed to do so many things. But most importantly it is a technology that provides one single source of truth. If groups are using this single source of truth technology to spread untruths, someone concerned must come out to say something. Blockchain is a technology that can put everyone on an even playing field but it seems very few understand it. The individuals with even the fleeting basic understanding can influence the general public perception of cryptocurrencies. This leads me to ask a great quote from a book called Richest Man in Babylon …. “if you want advice on investing in expensive jewels, why would you go to a butcher?”
The following is what the masses are being manipulated to attach their hopes and dreams. It is that “a further drop in the value of Bitcoin and other cryptocurrencies has recently left investors nursing heavy losses. Many proponents are holding out for a new breakout “if their digital assets can go mainstream.”
The most important part of that statement is “if their digital assets can go mainstream”. This made me ask some questions about Karatbit and this is what I came up with.
Something is fishy!! Can someone clarify the following?
Claim 1: Gold mine worth $900 million provides security.
Can’t find any official source as proof.
Reference: https://www.youtube.com/watch?v=TyKQIckXyIU
Claim 2: Backed by a gold mine in Africa
Can’t find any official source as proof.
Reference: https://www.youtube.com/watch?v=d5Q3ZvR4b04
Claim 3: Audit report by MM Revisors for a gold mine in Madagascar
Can’t find proof that MM Revisors exists. Not sure if this report was published by Karatbars Int (can’t find it on their official website), but this is being circulated by some investors as if it were.
Reference: https://karatbars-me.webnode.es/\_files/200000070-01d6002d18/audit.pdf
Claim 4: Karatcoin Bank is a fully licensed crypto bank and is situated in Miami
Can’t find proof that they are registered as a licensed financial institute in Miami, Florida.
Can’t find Karatcoin Bank as a registered corporation, but found Karat Coin Corp.
Reference: http://search.sunbiz.org/Inquiry/CorporationSearch/SearchResults?inquiryType=EntityName&searchNameOrder=KARATBANK&searchTerm=Karatbank
Reference: https://www.youtube.com/watch?v=YXip2Fizz5U&t=152s
Claim 5: Not a pyramid scheme
Karatbit describes this as an affiliate program but clearly is a pyramid scheme at best, see links below;
Canada: https://www.newswire.ca/news-releases/karatbars-quebec-activities-covered-by-prohibition-orders-514201571.html
Namibia: https://economist.com.na/43874/extra/karatbars-international-is-a-scamsays-central-bank/
Netherlands: https://www.afm.nl/en/nieuws/2014/mei/waarschuwing-karatbars
Claim 6: 100KBC = 1g of Gold at $40 per gram (1 KBC = $0.40) (guaranteed)
Total supply = 12,000,000,000 KBC (can’t find figures of circulating, so using supply instead)
Total gold needed to cover buy back of all coins:
12,000,000,000 / 100 = 120 000 000g = 120 tons (South Africa as a whole produced 139.9 tons of Gold in 2017).
Total money needed to buy back all the coins:
120 000 000g x $40 = $4.8 Billion
Can’t find proof that they have 120 tons of gold in storage (or backed up by the mines as claimed) or that they are at least worth $4.8 Billion to buy the gold?
Taking a more conservative approach:
According to icobench.com, they raised $100 000 000 with their ICO from 60% of the total supply.
Let’s assume the 60% of 12,000,000,000 is in circulation. This equals to 7,200,000,000 KBC.
Total gold needed for the buyback of 7,200,000,000 KBC:
7,200,000,000 / 100 = 72 000 000g = 72 tons
Total money needed to buy back all coins:
72 000 000g x $40 = $2.88 Billion
Loss for buying back the KBC that were sold during the ICO:
$100,000,000 - $2,880,000,000 = - $2,780,000,000
A potential loss of $2,78 Billion!!! Or am I taking crazy pills?
Reference: https://www.youtube.com/watch?v=KgeHjhlMfn0
Reference: https://icobench.com/ico/karatgold-coin
Claim 7: This Forbes.com article gives credibility to the KBC coin
This article was written by a Contributor.
Reference: https://www.forbes.com/sites/joresablount/2019/05/31/10-blockchain-companies-to-watch-in-2019/#308b507e543f
There is no traditional editing of contributors’ copy, at least not prior to publishing. If a story gets hot or makes the homepage, a producer will “check it more carefully,” DVorkin said.
Reference: https://www.poynter.org/reporting-editing/2012/what-the-forbes-model-of-contributed-content-means-for-journalism/
“Blogging for Forbes requires being what is commonly referred to as a "self-starter."
So far, nobody has said, "Um, you can't do that," or, "Oh, my God, no!"
Reference: https://www.forbes.com/sites/susannahbreslin/2011/04/06/how-to-become-a-forbes-blogge#231bb9972862
“Warning over 'scammers paradise' as watchdog reveals victims lost £27m to bitcoin, cryptocurrency and forex frauds last year”
• Some 1,850 cases were reported to Action Fraud, a 250% increase on 2017-18
• Victims lost an average of £14,600 - with fewer than 1 in 20 getting money back
• Investors are often initially told they've made a profit
• They are then encouraged to put in more money - at which point the fraudsters run off with their cash
Potential victims have been warned over bogus online 'get rich quick' schemes as it emerged people lost more than £27million to cryptocurrency and foreign exchange scams last year.
Fraudsters promise high returns to those who invest, according to Action Fraud and the Financial Conduct Authority.
Victims lost an average of £14,600 in 2018-19 and stand little chance of getting their money back.
Reports of cryptocurrency and forex investment scams increased by nearly 250 per cent in 2017-18, from 530 to nearly 1,850.
The scams work by criminals promoting get-rich-quick online trading platforms through social media. Posts often use fake celebrity endorsements and images of luxury items like expensive watches and cars.
Beat the scammers:
These then link to professional-looking websites where consumers are persuaded to invest.
Often investors are led to believe their first investment has successfully returned a profit, and are then enticed to invest more money or introduce friends in return for greater profits.
But the returns stop, the customer account is closed, and the scammer disappears with no further contact.
'Anyone handing over their hard-earned cash should make sure they understand what they're getting into, they've checked it's a legitimate investment, and not rely on hype and excitement from friends or social media.
'Investing isn't a get-rich-quick scheme - and anything that uses fear of missing out or requires you to invest before thinking is best to be avoided.'
Those considering an investment to check the following for tips on how to avoid investment fraud at www.fca.org.uk/scamsmart.
Scammers can be very convincing so always do your own research into any firm you are considering investing with, to make sure that they are the real deal.
'It's vital that people carry out the necessary checks to ensure that an investment they're considering is legitimate.
UK consumers are being increasingly targeted by crypto asset-related investment scams.
Certain crypto assets, like Bitcoin and Ether (also known as cryptocurrencies), are not regulated in the UK. This means that buying, selling or transferring these crypto-assets falls outside FCA remit. The same is true for the operation of a cryptocurrency exchange.
However, some types of crypto-asset products may be or may involve regulated investments depending on their nature and how they are structured. For example, firms that sell regulated investments with an underlying crypto asset element may need to be authorised by the FCA to do so.
In recent months, the FCA claims it has received an increasing number of reports about crypto-asset investment scams. Some of them may involve regulated activities, others don’t, but all use similar tactics.
How crypto-asset investment scams work
Cryptoasset fraudsters tend to advertise on social media – often using the images of celebrities or well-known individuals to promote cryptocurrency investments. In this case, laughably they said KaratBit was endorsed by Barak Obama’s sister. Who is she and what does she know about cryptocurrencies and blockchain? The ads then link to professional-looking websites. Consumers are then persuaded to make investments with the firm using cryptocurrencies or traditional currencies.
The firms operating the scams are usually based outside the UK but will claim to have a UK presence, often a prestigious City of London address.
Scam firms can manipulate software to distort prices and investment returns. They may scam people into buying the non-existent crypto asset. They are also known to suddenly close consumers’ online accounts and refuse to transfer the funds to them or ask for more money before the funds can be transferred.
Action Fraud has also issued a warning on cryptocurrency scams.
How to protect yourself
Be wary of adverts online and on social media promising high returns on investments in a crypto asset or crypto asset-related products.
Most firms advertising and selling investments in crypto-assets are not authorised by the FCA. This means that if you invest in certain crypto assets you will not have access to the Financial Ombudsman Service or the Financial Services Compensation Scheme if things go wrong.
The FCA doesn’t regulate crypto assets like Bitcoin or Ether which are vastly the most recognized cryptocurrencies, let alone KBC, they do regulate certain crypto-asset derivatives (such as futures contracts, CFDs and options), as well as those crypto assets I would consider securities. A firm must be authorised by FCA to advertise or sell these products in the UK – check FCA Register to make sure the firm is authorised. You can also check the FCA Warning List of firms to avoid.
You should do further research on the product you are considering and the firm you are considering investing with. Check with Companies House to see if the firm is registered as a UK company and for directors' names. To see if others have posted any concerns, search online for the firm's name, directors' names and the product you are considering.
If you’ve already decided you want to invest in gold, this might not be a bad company to side with. But if you’re just looking for an opportunity to earn a sustainable income and become financially independent, there are better options out there.
submitted by fourfingaz to u/fourfingaz [link] [comments]

Dive Bar Pub Crawl - Third Six

I'm doing a tribute to the 24 days of Christmas by going over the financial statements of 24 companies that are considered downrange, speculative, and just plain high risk.
Our first six stops is fondly captured here, the second one is here.
All opinions are my own, and certainly not a recommendation for or against any of them, or to buy or sell.
Many are companies I've never looked at before. In some cases, I'd never even heard of them. I limited myself to 45mins to each, and kept mainly to most recent financial statements and MD&A's. You'll likely know more about the company than me if you're following them. This is only my reactions with a brief commentary about what I saw in the financial statements.
QCC - Quadron Cannatech Corp
If one wants exposure to peripherals, this is one way. Financials aren’t bad, but manufacturers won’t drive the same margins demanded by share price levels, and only indirectly connected to cannabis. Cheap foreign goods an ever present threat.
CMM - Canabo Medical Inc.
I think recreational is going to kill these guys. Research might be the only thing they’re doing in a couple of years. Someone somewhere will disagree. They’re going to run out of granny’s fast. Even if there is alot of granny’s, they’re gonna be in competition with everyone to get their annual Christmas baking.
ISOL - Isodiol International (in USD unless noted)
Ok. They’ve got assets, revenues, and margin. They’ve also got a shit ton of balance sheet leverage. Capital structure is detailed, but without a super-computer and Stephen Hawking sitting beside me, it’s hard to get a handle. Good apparent disclosure, but simply shifts onus of risk onto reader to unwind. There’s a business in here underneath all of the shit. They also have excellent ‘pot-in-coffee’ and really (really) nice furniture. Whether the business can pay for it all, I can’t tell. Needlessly busy in financials.
IMH - Invictus MD
A brusque 17 pages. This one could use more time. Decent underlying business - while speculative - it has real assets. Capital structure has some plug ins and a few moving parts that beg questions. All a quick scan did was increase curiosity. If the elves had time, they’d want to look at the frame on this one and check for corrosion. Theres alot not said here.
MDM - Marapharm Ventures
Way too much going on in the ass end of this one. US exposure is one thing, growing and selling dope is alot simpler than this is though. A 31 page effort. Industry average ffs. These guys though have potential to be at 70 pages. Get a straight answer if you can.
ATT - Abattis Biocuetical Corp.
This dog don’t hunt. That said, I can’t attest to it being a ‘dog’, or that it even knows what ‘hunt’ even means. Who the fuck suggested this one? Why did I listen? All I have now is unruly elves, sadist. I hope you are proud.
And now, we’re short 5 companies to complete the Dive Bar Pub Crawl before Christmas.
Please, if you are reading this, send help. The elves need 5 more stocks. Anything but ICC - Luis Suárez has already tipped then off, they’re on it.
submitted by mollytime to TheCannalysts [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)

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DOWNLOAD FREE Pips Wizard Pro generate $5,000 $8,000 $13,000 daily

Pips Wizard Pro Review – Lots of the reviews created here might undoubtedly be of excellent assist to you within your efforts to remain away from scams! This Pips Wizard Pro might supply you with information on what it is, everything you ought to anticipate as well as the way it works out. Our own website is knowledgeable and skilled critiques and we’ve got acquired all sided reviews on Pips Wizard Pro for you to get any detailed crucial details. Our work is to aid consumers such as you who have confidence in us and regard our responsibility to create a smart selection. Each of the evaluations published here might certainly be of great help for you inside your time to remain away from scams! The secret approach will decrease your working period of time in half and obtain better final results!
Features of Pips Wizard Pro:
*Pips Wizard Pro is the most accurate indicator of the point, is so profitable in every possible aspect. *This unique tool “, an independent broker,” and thus more enjoyable trading experience and now any broker can use your discretion. *A new, unique and amazingly lucrative Pips Wizard Pro with index points, you now have a very simple and user-friendly way to be able to track the movement of any future in the market. It is a miracle to be able to turn your life around! *You do not need to see the need to continue in the market. Now you have your e-mail and / or mobile phone right from the time of trading can get immediate notification. You always know when a new trading signal! *It focuses on the logical stop-loss account – a few points away from the price – but not so strong that reducing your risk and increases the chance of profit and stop loss.
How To Use Pips Wizard Pro
Installing the system is very simple, you will simply place the file into your MetaTrader 4 and start dropping it on the charts. Using it however, isn’t as simple.
One of the most difficult elements when dealing with Karl Dittman products is figuring out how to use it properly. While the sales page makes it seem like you can purchase the software and start profiting immediately, this isn’t truly the case. In order to succeed using a Forex indicator with no specific guidelines like this one traders need to develop their own strategy.
The Pips Wizard Pro has the potential of being a great software, but the trader plays a large role in determining this. Since the system can work on any time frame from M15 to D1 and works with every single pair available there are a plenitude of options. To truly win long-term with a software like this traders will have to determine which pairs and what timeframes work well together over a long sample size.
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It is entirely possible to make a profit on Forex trading. However, most successful Forex traders spend an inordinate amount of time studying and following the markets, and usually do not rely upon an automated trade signaling software to provide guidance on which currency pairs are destined to gain value versus which are going do lose value.
This is a common criticism of trade signal programs; markets are simply too complex and volatile to be predicted by current algorithms, no matter claims to their accuracy.
Many other signaling software programs are available over the internet – some of which are free, provided you use a specific broker, while others need to be purchased – and almost all of them offer outlandish (and unsubstantiated) claims of accuracy and success.
Pips Wizard Pro is, sadly, no different. There's no indications that this Forex trade signal algorithm is superior to any other out there.
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If Pips Wizard Pro was being offered for sale from a reputable source, this might change our tune, but Karl Dittman is anything but reputable; in fact the truth is that there is no “Karl Dittman.” The name is a pseudonym that has been used for years – a fact that is buried deep in the Disclaimer boilerplate of the Pips Wizard Pro website.
Pips Wizard Pro review is going to be scored one of the highest quality products in this region. The income and profits can certainly be fairly significant, that document precisely how effectively-needed Pips Wizard Pro Pdf file is not to mention simply how much it is actually merely staying needed in this particular program customers. Nevertheless, you can expect entirely cash back guarantee pertaining to this program recommendation legality, there is undoubtedly however no returning rate. If you feel you want an most up-to-date release of Pips Wizard Pro testimonial, it is effortless to get it because of this web site website. We offer excellent deals in addition to quite a lot of benefits to enhance the program. Added to that, our via the internet topic site regularly continues dynamic. From the moment you get access to our correlate site, it is achievable to visit experience reassured, you will find adjacent to practically nothing complicated. Mastering or developing the most effective from get the program critiques is surely an important please for any who website link on top of us. When the terrific quantity of factors included in this particular system is a one that frightens you against seeking Pips Wizard Pro, you actually are totally incorrectly diagnosed frequently. This system legitimate requires joy in the impressive good popularity currently in the marketplace. If to start with it breaks down to fulfill the needs you might have, simply send in a return request for and make it easy for item turning into a story of history.
How Does Pips Wizard Pro Works?
Pips Wizard Pro is one of a kind and once you experience its simple, powerful functionality and amazingly unique features will blow you away. It is the new most powerful technology is being with the unique indicator tool accurately predict all price movements. All you need to sit and wait while Pips Wizard Pro analyzes the markets for you and gives you select signals. It also alerts you when a signal is occurring, so you do not even need to sit in front of a computer in which it does great as an income side.
With Pips Wizard Pro Indicator there is no reason to learn anything. This is another great benefit as this indicator can be used by all traders, novices, and professionals. It does not matter what you know or does not know about the currency. This indicator tool makes accurate predictions of market movement before they even occur. It works on M15-D1 in all currency pairs where you will be able to make correct trading decisions based on the flag signal lines drawn right on the chart. This is a new trade sign and job alerts for all deadlines from M15 to D1. In all Forex pairs. Here’s how the indicator works:
*Step 1: Open a currency pair or stock you would like to trade.
*Step 2: Choose your calendar: M15, M30, 1H, 4H or D1.
*Step 3: Whenever you receive a pop-up alert with buy or sell signals
*Step 4: The exit point and stop loss will be printed in the alert window!
VISIT PIPS WIZARD PRO OFFICIAL WEBSITE
*All you need is Pc with an internet connection and this system for trading. So, without an internet connection, you can’t get the best result at desired time. Pips Wizard Pro Guide
*It doesn’t make any promise to make you rich at overnight, it takes a little time to increase your income level. Pi
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Inserting PDF and Images in AutoCAD as drawing file - YouTube Learn Point & Figure charts and know how to trade them ... SIMPLE and PROFITABLE Forex Scalping Strategy! - YouTube Cute Point and Figure indicator v1.1 for MT4 installation(+customizing) instructional video How to Convert PDF Document into PPT 2018  Convert PDF to ... The Best Candlestick Patterns to Profit in Forex and ... Better Know An Indicator: Point And Figure Charts - YouTube How to Insert a PDF Document in a PowerPoint Slide - YouTube Using Point and Figure Charts График крестики нолики - YouTube How to Save an Excel File as PDF - Tutorial - YouTube

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Inserting PDF and Images in AutoCAD as drawing file - YouTube

Know how P&F charts are constructed and how to trade basic patterns. A Video by Prashant Shah. -----... BTC Tipjar 12EAXwhbT6JaC2DvGY875SWFMtrzJi8vF1 Follow me on Twitter! https://twitter.com/CarpeNoctom Referral Links Trezor Hardware Wallet - https://buytrezor... This video is about "How to Convert PDF Document into PPT 2018 Convert PDF to PowerPoint Simple Method" Hi... This video is about "How to Convert PDF Document into PPT 2018 Convert PDF to ... Learn how to convert an Excel file to PDF format. Saving an Excel file as a PDF takes only a moment. And knowing how to do this is great for instances when a... This video will show you how to set up your Cute Point and Figure v1.1indicator for MT4 in right way. Some examples of indicator's customizing are shown at the 2nd piece of the video. Использование графиков крестики нолики Looking for great a PDF Editing software to edit your PDFs on Mac?. You want to Read, Annotate and Edit PDFs, Change Text and Images, Fill forms and Sign Con... The Best Candlestick Patterns to Profit in Forex and binary - For Beginners trading forex, forex strategy, forex,Online Trading Strategy #Candlestick_Pattern... In this video, I will essentially tell you about converting a PDF into a DWG file. Using this method you can convert scanned PDF files into AutoCAD drawing f... Learn our Other Scalping Strategy: https://bit.ly/2xol8aS In this video, I will walk you through a simple forex scalping strategy I've been using successfull...

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