There are a lot of opportunities online for anyone that wants to make a little extra money. From a part-time hustle to an all-out digital career, there are loads of ways that you can make money with an electronic device, and a connection to the internet.

Paid Surveys - Did you know that thousands of South Africans earn extra income by simply participating in online surveys to help local companies improve their products? Finally, now you have an opportunity to do this as well! You can find a list of the top survey sites for South Africa HERE
Selling Your Photos Online - Selling photos is a wonderful way to make money online if you have an aptitude for photography. Two popular platforms that you can try are Shutterlock and Unsplash. Every platform will have different requirements, but they will all pay you in hard cash. Though the photography market is quite hectic, it’s still a good method of gaining a passive income if you’re persistent and professional. Plus, the opportunity for additional sales is higher when your photos become popular. Many companies need photos of landscapes, and we all know that South Africa has some of the most amazing scenery in the world. In some cases, a smartphone is enough to get started, depending on the stock photo site you choose.
Be a Freelance Content Writer - Freelance writing is a serious online business. The internet enters most areas of our life, and the need for blog articles and various types of content is exploding. There are many kinds of online writing work, and many people need things like product descriptions or simple reviews. Before going further in this direction, you first need to set up a blog or website. This will be an amazing portfolio where you can demonstrate to potential clients or businesses that you can deliver great work. A LinkedIn profile can be created to function as an online portfolio as well. Don’t forget that many writing clients will want to see specialized work, so be sure to consider what area you would like to specialize in. The pay for online writing varies, but with some practice, you should be able to make a decent part-time income.
Sell Unwanted Goods - You can sell your unwanted stuff to people who want it and make your side business a real money maker. There’s plenty of options to use for sales such as Gumtree or Amazon. Don’t forget to do some research and see what assets have recently been sold so you have a target price. If you a business, you can sell other people’s goods as well. Many people don’t have the time or patience to sell goods online, and you can do it for them. If you charge a reasonable percentage of the sales, you can make a solid business out of selling used goods online.
Build a Personal blog/website - Not only can you write for companies to gain income but you’re also able to run your own blog to raise money as well. Set your expectations at a reasonable level because this job requires consistent practice and lots of patience. Bloggers make a profit, often through press coverage, advertising products, and writing sponsored guest posts. You will need to run the blog for a while before you can expect to see any profits, but it is very simple to get started. Check out some of the other ideas on this list for ways to leverage a blog for greater income, like selling drop shipped items.
Legitimate Remote Jobs can Pay Real Money - Many companies are heading to a work-from-home style of business since this type of model helps save money, and eliminates the risk of illnesses. People are completely flexible while working for a company and selecting where they decide to spend their time.CrowdSource, for example, hires remote writers, editors, and other jobs that can be done easily from anywhere. Companies like Fast Chart offer work-from-home options for medical transcriptionists. You can also try seeking opportunities at LiveOps, a call center staff. You might be surprised at how much time and money you save when you work at home. There is no transit, and you can cook for yourself. Think about it!
Become a Dropshipper - Dropshipping is not a strange term, especially when eCommerce is booming. Anyone can be a drop shipper since the work requires low investment at the beginning and also guarantees minimal risk. The system operates by purchasing the stock (goods) from a third party supplier or manufacturer, who then fulfills the customer’s request. You don’t have to shop or handle goods in advance because the product comes directly from the vendors whenever an order is placed by a customer. There are many dropshipping platforms out there, and some are basically free to use. You will need to figure out how to market the goods, which is where a blog or website comes in very handy.
Affiliate Marketing - Affiliate marketing is a popular method of making money online in South Africa and across the world. You can sell into a variety of markets with this business model, and make money almost anywhere. You can generate revenue from product sales. In other words, affiliate marketers will refer readers to a lot of products and get a small cut from them. Once a customereader buys products, you will earn a commission. A widely known approach is to start creating your own blog in a specific niche and to establish a trustworthy community that can purchase your promotions. Unlike dropshipping, you simply get a commission and have no other responsibilities. So easy! Check out SA’s leading affiliate network – https://www.affiliate.co.za/
Online Business with Etsy - Try selling DIY designs and crafts on Etsy if you’re a skilled maker. An Etsy shop is basically free to operate, and you can make real money with the platform. Once your registration is complete, you can start posting photos of your works, and people can purchase your products. There is really no limit to what can be sold on Etsy, but make sure that you are able to send your goods to other countries, as many buyers are likely to be in the EU or North America. A PayPal account is important to have and also a popular payment choice so that customers can pay you quickly. Take nice pictures of the items to help draw purchasers into a sale. Make sure that you have good customer service as well, or you won’t be selling on the platform for very long!
Forex Trading - You might have heard about trading FOREX or Contract For Difference (CFD) trading. The basics of this online money-making are simple. You will choose a currency pair, and bet on the direction of one currency vs. the other. For example, you could speculate that the EURO will appreciate vs. the RAND (or just about any currency). If you are correct, and then sell the contract, you will make profits. While this might sound easy, most people who do this lose money. In addition to currency, most retail FOREX brokers will allow you to trade in other markets, such as commodities, or shares. If you are looking for a reliable income, this probably isn’t right for you. On the other hand, if you don’t mind taking on risks, trading FOREX can be extremely profitable.

Your Pre Market Brief for 07/16/2020

Pre Market Brief for Thursday July 16th 2020

You can subscribe to the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily 4:00 AM Pre Market Brief in this sub.
Updated as of 4:45 AM EST
-----------------------------------------------
Stock Futures:

Premarket Trading
Dowfutures little changed as index tries for fifth straight day of gains
Asian markets retreat as coronavirus vaccine rally fades
European stocks retreat, shrugging off Chinese growth data that beat expectations
Global Markets: Asian shares fall despite China GDP beat as Sino-U.S. tensions, virus fears weigh
Treasuries yields edge lower with coronavirus spike, vaccine progress, economic data in focus

Wednesday 07/15/2020 News and Markets Recap:

Pre Market Brief for 07/15/2020
Market Recap: Wednesday, July 15

Thursday July 16th 2020 Economic Calendar (All times are in EST)
(JOBLESS CLAIMS TODAY)

08:30 AM US Retail Sales MoM JUN Previous: 17.7% Consensus: 4.8% Forecast: 4.5%
08:30 AM US Philadelphia Fed Manufacturing Index JUL Previous: 27.5 Consensus: 20 Forecast: 17
08:30 AM US Jobless Claims 4-Week Average 11/JUL Previous: 1437.25K Forecast: 1375K
08:30 AM US Retail Sales Ex Autos MoM JUN Previous: 12.4% Consensus: 4.5% Forecast: 4.2%
08:30 AM US Initial Jobless Claims 11/JUL Previous: 1314K Consensus: 1250K Forecast: 1290K
08:30 AM US Continuing Jobless Claims 04/JUL Previous: 18062K Forecast: 17600K
08:30 AM US Retail Sales YoY JUN Previous: -6.1% Forecast: -3%
10:00 AM US NAHB Housing Market Index JUL Previous: 58 Consensus: 59 Forecast: 58
10:00 AM US Business Inventories MoM MAY Previous: -1.3% Consensus: -2.1% Forecast: -1.8%
10:30 AM US EIA Natural Gas Stocks Change 10/JUL Previous: 56Bcf
11:30 AM US 4-Week Bill Auction Previous: 0.100%
11:30 AM US 8-Week Bill Auction Previous: 0.120%
01:30 PM Fed Evans Speech
04:00 PM US Overall Net Capital Flows MAY Previous: $125.3B Forecast: $200B
04:00 PM US Net Long-Term Tic Flows MAY Previous: $-128.4B
04:00 PM US Foreign Bond Investment MAY Previous: $-176.7B

News Heading into Thursday July 16th 2020:
NOTE: I USUALLY (TRY TO) POST MANY OF THE MOST PROMISING, DRAMATIC, OR BAD NEWS OVERNIGHT STORIES THAT ARE LIKELY IMPORTANT TO THE MEMBERS OF THIS SUB AT THE TOP OF THIS LIST. PLEASE DO NOT YOLO THE VARIOUS TICKERS WITHOUT DOING RESEARCH! THE TIME STAMPS ON THESE MAY BE LATER THAN OTHERS ON THE WEB.

6:13 PM yesterday: Mallinckrodt (MNK) Announces U.S. Food and Drug Administration (FDA) Advisory Committee Voted to Recommend Terlipressin for Approval to Treat Patients with Hepatorenal Syndrome Type 1 (HRS-1)
UK Car insurance premiums in second-quarter show largest quarterly drop since 2018 (WLTW)
Postal Realty Trust (PSTL) Announces Pricing of Follow-On Offering (Second offering back to back)
California Resources files for Chapter 11 (CRC)
California Resources Corporation Agrees on Comprehensive Balance Sheet Restructuring with Key Creditors (CRC)
ServiceSource to Hold Second Quarter 2020 Financial Results Call on July 30, 2020 (SREV)
Tricida Receives FDA Notice On Deficiencies In Veverimer NDA; Stock Slumps (TCDA) {CICERO COMMENT: NEW GUYS TAKE NOTICE; THIS IS WHAT FDA TROUBLE LOOKS LIKE}
The Law Offices of Frank R. Cruz Continues Investigation of Kirby Corporation (KEX) on Behalf of Investors (KEX)
Weil Gotshal lawyer inks four mergers in a day amid deal wave (ADI, MXIM, SIRI, SSP)
Neptune Wellness Solutions Inc. Closes US$12.65 Million Registered Direct Offering (NEPT)
Fifth Third/MB Financial (FITB) Alert: Johnson Fistel Launches Investigation into the Fifth Third Acquisition of MB Financial; MB Financial Investors Receiving Fifth Third Shares Encouraged to Contact Firm (FITB)
Home Sales Exceed Pre-Pandemic Levels for the First Time (RDFN)
Aptose Announces Pricing of Public Offering of Common Shares (APTO)
The Law Offices of Frank R. Cruz Announces Investigation of Wells Fargo &amp;amp;amp;amp;amp; Company (WFC) on Behalf of Investors
Twitter Stock Slides 3% After Hackers Target High-Profile Accounts
Tesla registrations in California nearly halve in second quarter: data
FOREX-Dollar nurses losses as investors wait for China data (MRNA)
Relay Therapeutics Announces Pricing of Initial Public Offering (RLAY)
HPX Corp. Announces Pricing of Upsized $220,000,000 Initial Public Offering (HPX)
Adaptive Biotechnologies (ADPT) Announces Pricing of Public Offering of Common Stock
Nabriva Therapeutics Enters into Exclusive Agreement to Promote and Distribute SIVEXTRO® (tedizolid phosphate) in the U.S. (NBRV)
EU Court Invalidates Data-Sharing Pact With US (FB)
EU Court Bans Privacy Shield Data-Transfer Pact (FB)
Corporación América Airports S.A. Reports June 2020 Passenger Traffic (CAAP)
China buys more soybeans as its U.S. crop buying spree continues
Coronavirus vaccine hopes rise after strong trial results (AZN)
Dell Confirms It’s Considering Spinning Off VMware. Here’s How It Would Work. (DELL, VMW)
BBBY reported 10 new insider trades (small buys) to the SEC yesterday evening
American Airlines sending 25,000 furlough notices as U.S. demand sags (AAL, DAL, UAL, LUV)
U.S. Judge confirms Berkshire Hathaway unit's 643 million euro award against German pipemaker
Carnival to raise $1.26 billion in debt to deal with COVID-19 impact (CCL)
Chevron restarts Pasadena, Texas, refinery: sources (CVX)
American Air Sees 25,000 Jobs at Risk When U.S. Aid Expires (AAL, UAL)
Alcoa Says Cost Cuts Drove Cash Increase in ‘Challenging’ Market (AA)
Average Earnings Are Falling, Prices Are Rising: Economic Numbers Indicate Hard Times For Consumers (KR, TGT)
FCPT Announces Acquisition of a Caliber Collision Property for $1.8 Million
Tencent launches new online shopping feature in WeChat app, in a challenge to rivals Alibaba and JD
Boyd Gaming Corporation Commences Exchange Offer For 4.750% Senior Notes Due 2027 (BYD)
Valaris Skips $13.3M Interest Payment (VAL)
Stewart and Stevenson’s Apollo ABVM Receives Emergency Use Authorization from U.S. Food and Drug Administration (KEX)
AdaptHealth Announces Pricing of Upsized $350.0 Million Senior Notes Due 2028(AHCO)
Atreca , Inc. Announces Pricing of Underwritten Public Offering of Common Stock (BCEL)
US Department of Defense awards new contracts to (GD, NOC)
Joseph T. Ryerson and Son, Inc. Announces Pricing of Private Offering of Senior Secured Notes (RYI)
Orchid Island Capital increases dividend by 9%
White House says Trump has not ruled out sanctions on Chinese officials
CNBC’s Jim Cramer uses this chart to predict the exact date the stock market could hit the skids
Needham boosts Apple’s price target on strength of services and wearables
Stocks making the biggest moves after hours: Virgin Galactic, Twitter, Norwegian Cruise Line and more
Twitter blocked tweets from verified accounts after a massive security breach
Singapore’s economic situation is ‘dire’ as global coronavirus resurgence looms, central bank says

Upcoming Earnings:

Earnings Calendar
Earnings Calendar II
Earnings season kicks off with big banks, Netflix: What to know in the week ahead
Notable earnings after Thursday's close (FNB, JBHT, MRTN, NFLX, PPG, WAL)

Commodities:

COVID-19 Stats and News:

Macro Considerations:

Most Recent SEC Filings

SEC Form 10-K
SEC Form 10-Q (Quarterly Performance)
SEC Form 8-K (Information of Shareholder Interest)
SEC Form DEFA14A (Upcoming Shareholder Meeting)
SEC Form 4 (Insider Trading)
SEC Form 144 (Insider Selling)
SEC Form 13F (Institutional Investment)

Other

-----------------------------------------------
Morning Research and Trading Prep Tool Kit
Other Useful Resources:
The Ultimate Quick Resource For the Amateur Trader.
Subscribe to This Brief and the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily brief in this sub

Forex Trend Indicator Setup, Forex Mobile App – BOTH FREE!

Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023

Why Genesis Vision (GVT) Should Be on Your Watch-List

In light of the recent shills regarding GVT, I thought it would be the perfect time to give some of you a quick look on what GVT is and why it has been getting so much attention as of late. As a disclaimer, I am invested in GVT and I would like to also point out that although I am fairly active on the GVT sub reddit, I have not shilled it whatsoever on /r crypto. I mention this because I know there will be those that say "oh great, another shill post/comment" and had I been trying to shill, I would be all over this sub spamming people about it. I will try to make this post as unbiased as possible. In return, I simply ask that any FUD, and shills as well, include some substance so that we may have a nice discussion.

What is Genesis Vision?

Genesis Vision, from the site, is "the first platform for the private trust management market, built on Blockchain technology and Smart Contracts". Simply put, they are creating an easy-to-use app where people who do not know how to invest their money can give it to someone who does on a trustless platform. Think of it like a trust-less brokerage firm that is backed by blockchain technology and smart contracts. From the white-paper, there are 3 types of people on the platform:

Managers: Management funds/traders are companies/individuals with a proven trading history, ready to acquire investors' money for management. The profit, received as a result of management of the total funds, is shared proportionally between the managers and investors. Managers receive a commission for management and a commission from the profit (success fee).
Investors: Investors do not trade in the market directly. Instead, investors transfer their funds to experienced traders who manage the funds for them. Investors get their shares from their managers’ profits.
Brokers: Brokers are companies that have the appropriate licenses to carry out brokerage activities. Through brokers, traders have access to trading financial instruments on exchange and over-the-counter markets.

The final GVT platform will have the forex, stock and crypto market all integrated onto one app. GVT's alpha release on April 1st will only include the forex market. Q4 of this year will then integrate crypto for their beta release. Finally, on their final product release, stocks will be added.

How is the platform trust-less?

First ask yourself this, why can people trust traditional brokers with their money? They can't. Who's not to say any given broker won't run away or make awful investments and lose your money? The only thing people like you and me can go off of when investing with any given broker is their track record - and that’s something that could be tampered with too. How long has this person/brokerage firm been in the market? How reliable are they? Stuff like this isn't going to be an issue on Genesis Vision. The time a person has been investing on the platform is all public on the blockchain. Every good investment and every bad investment will be publicly listed. Smart contracts will ensure that no manager can close shop and run with your money. At the end of the trading period, funds are released to the original investor and the manager is given a cut - all safely and securely using smart contracts. This completely eliminates the trust factor as everyone will simply base investments on a manager’s track record.

How does it work?

On the platform, each manager will have their own token. You invest into said manager by buying their token. The manager can then utilize the various markets available to invest and hopefully grow your money. Managers will have levels that are based on their ability to make consistent and reliable gains. The lowest level a manager can be is level 1 while the highest is 7. Your level basically determines how much money you can handle - the max level being able to handle roughly $1m. New people can apply to become a manager after they have developed a track record by trading a minimum of $1,000 over a given period of time.

How GVT is creating its own ecosystem.

To make it easier to understand how the platform will work, ask yourself how the current crypto market works. No matter how many trades you do or what coins you hold, the end goal is to have your portfolio be worth more satoshis/gwei than what you started with. You can either hold BTC, OR you can invest in various altcoins in hopes that it will grow faster than BTC. The reason people research low cap “undiscovered” cryptos is to hopefully catch a rocketship before it takes off. Times have since changed, but everything used to have to go through BTC. Buying alts? Exchange from BTC. Selling alts? Exchange to BTC. BTC falls, everyone falls. BTC grows, everyone grows (sometimes). Some alts will fall harder than BTC, and some won't. Some alts will grow faster than BTC and some won't. Because of BTC's dominance over the market, it is why many crypto veterans hold a big portion of their portfolio in BTC and why they often recommend it to others.
This is akin to how the GVT platform will work. GVT is BTC and the managers on the platform are the altcoins. You could either hold GVT or put it into a manager that will hopefully get you better returns. Much like how people right now look for “undervalued” and “undiscovered” altcoins, there will be talks and similar conversation about undiscovered managers with potential. Now remember, this is how it’s going to be for the intermediate to advanced people, but for newer or more busy people, GVT can become a fantastic tool for side-income.
The platform’s main goal is mass adoption. People like me and you would be more inclined to simply hold GVT since we’d be able to spot out good short, mid and long holds ourselves. Also, since as the platform grows, the coin itself will naturally grow with it. However, what GVT is aiming to do is build a platform similar to Robinhood. Just like how they made investing in stocks - and now cryptos - more appealing and easier to all audiences (especially younger ones), GVT is trying to do this but with a broker-like app instead. Also, keep in mind I’m just talking about crypto. The platform is going to utilize the forex market and the stock market as well.
The takeaway of all this is that because GVT will have its own platform where you can buy/sell GVT straight off of, down the line GVT could possibly part ways with Bitcoin and in a sense create its own ecosystem where GVT is the driving force of its own market.

Why invest with a manager?

So now, I’m again talking exclusively crypto (since I’m not the most knowledgeable on the forex/stock market), but why would any of us want to invest with a manager? Technical analysis and day-trading is an incredibly taboo subject on this subreddit, but that’s because people don’t understand that TA is a tool. It’s not a fact that it’s going to pan out exactly as it’s written and there are many different things to look at when doing technical analysis on a chart. Any investment in this market is speculation and TA is very useful with helping you make educated guesses for the short, mid and long term. With that said, there are some really good day-traders out there. I’m not sure how this subreddits sentiment is towards Philakone (an exclusive day trader on twitteyoutube/steemit), but the dude makes a good amount of consistent money on a daily basis, whether it be a bull or bear market, and keeps his followers up to date by the minute - for free. Imagine if he were to get on the GVT platform and instead of people trying to copy/paste or follow what he does on Twitter, they can just give him money on the GV platform and have him do the work? Down the line if he becomes a level 7 manager and as a result is given a cut of the $1m he is allowed to work with, the literal TON of money he’d be making would certainly appeal to others looking to do the same. They would no doubt have their eyes on GVT and from there, the platform’s growth would be exponential once more and more managebrokers hop on.
I’m not saying that this is exactly how everything will turn out, but still imagine being able to make money in a bear market? And aside from that, there is the forex and stock market to utilize and if any of us ever become serious investors, it would important not to just diversify in crypto, but in different markets altogether and being familiar with GVT would greatly help. Again, this is purely talk on the potential of the platform so take it with a grain of salt and DYOR!

Some thoughts + moonboy talk

Okay this is going to be pure moon-talk since I know that’s what drives most of you. To start, the team is most familiar with the forex market - which has a LOT of money in it - and that is what they will be implementing first on their Alpha launch on April 1st. Crypto implementation in Q4 2018 on beta release and then stock implementation in Q1 2019 on the full release.
Remember that REAL adoption comes when people are using applications built on the blockchain without knowing - something GVT will be doing. Look at Steemit. It is the most active blockchain by far - beating out Ethereum AND Bitcoin ( http://blocktivity.info ). Why? Because it’s smooth and functions like a normal website, despite its use of blockchain technology. I’m not saying GVT will automatically shoot up to the top, but actual use is what will determine any crypto’s success and Genesis Vision is looking like a really solid candidate right now.
On top of this, GVT’s CBDO (Chief Business Development Officer) was the founder of tools4brokers ( http://www.t4b.com ) so they have someone on the team with experience with a successful and working product. I’m not going to take a deep-dive on the rest of the team, but I highly suggest checking out the roadmap and the team (all but a few have linkdin profiles).
Now for the money. First, do NOT be fooled about GVT’s USD price. The price is so high because its token supply is very limited. It is roughly 1/6th the supply of Bitcoin’s meaning we would just have to get to 1/6th of Bitcoin’s market cap (around $25b) in order for 1 GVT to equal 1 BTC. It’s a stretch, sure, but it’s more possible than you think. To put it plain and simple, the forex, stock and crypto market altogether amount to upwards of almost $100 trillion.
GVT is a $100m market cap crypto trying to disrupt a $100 trillion~ industry with an easy-to-use, innovative and game-changing app

.001% of this market = $1 billion market cap (1,000% gains from now)
.01% of this market = $10 billion market cap (10,000% gains from now)
.1% of this market = $100 billion market cap (100,000% gains from now)

Huge disclaimer that just because we could reach these numbers, does not necessarily mean we will, but I see no reason why can’t hit a billion or even 10 down the line.

Conclusion

That’s pretty much it from me. Genesis Vision is a project I, and many others, are extremely excited about. It has a lot going for itself and with such a low market cap, it’s definitely something to at least throw on your watch- list. Hopefully this post didn’t come off as too much of a shill (aside from the last portion) and instead opened some people up to why GVT isn’t just “another shitcoin”. If I missed anything, don't be afraid to chip in! And I’d also be more than happy to try and answer any questions some of you may have but I simply ask that you take a look at the white-paper ( https://genesis.vision/white-paper-eng.pdf ) first as it is very user-friendly and would answer some of your questions better than I could.
Links
Website: https://genesis.vision/
Whitepaper: https://genesis.vision/white-paper-eng.pdf

1.5 Months In: 6300 Views, 50 Subscribers (Write-Up)

On the 24th January 2018 I published my first blog post. Inspired by a few on here, I decided to tell the story of my first 1.5 months.
My blog is about trading financial markets (stocks, forex, crypto), as this is my full-time job. I wouldn't say that it's an oversaturated niche, but it certainly isn't empty. I have somewhat of a sub-niche, in that I have a maths degree and am known for being very statistics oriented.
Statistics:

6306 Pageviews:
- Google Analytics (Wasn't connected for the first few days so the stats don't show): https://imgur.com/a/4mMVW
- Jetpack Pageviews: https://imgur.com/a/gCXqv
24 Posts:
- 8 evergreen long-form posts
- 16 daily posts outlining markets for that day
50 Subscribers: https://imgur.com/a/G6noP

Backend Stuff:

One.com for hosting
Wordpress.org for blogging platform
Plugins I use:
- Jetpack - for quick look at stats
- Mailchimp - email list building (more on this later)
- Yoast SEO - great SEO plugin which tells you if your article need tinkering. Also tells you how good your readability is
- WP Super Cache - caching
- Redirection - to manage broken links
- Really Simple SSL - makes the site secure and SSL proof
- JM Twitter Cards - to preview what a twitter share will look like
- Insert Headers and Footers - for google search console code
- Google Analytics - analytics and statistics
- Front Page Category - so that my from page feed only shows certain post categories. (I do minor daily posts and don't want to ruin social proof of my more evergreen topics)
- Featured Images in RSS - to make sure my images are correctly sized in email newsletter

Content Generation:
This is the base of the blogging pyramid for me. If you don't have content, you don't have blog. Here is how I generate ideas:

Original ideas: topics I've thought of, on my own. These have come from my general observations about markets and trading.
Quora: this is a huge resource for any blogger. It allows you to answer questions from others, simultaneously providing you with ideas and letting you know what people want to read about. Probably slightly more useful for informational based bloggers rather than lifestyle, but I'm sure there are plenty of questions for all. Doubles up as a traffic source (more on this later).
Skyscraper technique: u/ThisOnlineWorldBlog put a name on it for me. This is where you find the most viewed/shared posts from your niche, and write a better version. You already know the idea is popular, which is a huge advantage. Youtube is a great resource for this - simply go onto biggest channels in your niche and filter their most viewed videos. You need to be aware of what the original post/video was missing and make sure it is better than theirs.
Debunking myths/clichés: if there are annoying clichés in your niche which have serious drawbacks, write about them. Go against the grain and challenge the standard thinking. People will enjoy reading fresh perspectives and it will encourage conversation.
Daily Charts: Quite specific to trading, but I post one chart per day of what I believe to be the best trade. This is a way of showing that I don't just write about the subject and put my money where my mouth is.

Traffic Generation

My main source of traffic is Twitter: I have over 1700 followers and post all of my blog links there. I ask for RT's on my evergreen content, which helps to get quite a few impressions from people in and around my niche.
Second source of traffic is Quora: in just over a month I have 3.5k views, all of whom have seen my website URL in my name/profile. This can really help you grow your authority and drive traffic towards your blog.
I have been cross-posting to Instagram - my following has grown from around 60 to 200 in just over a month. Not a huge traffic generator but good to be building a profile on there.
All of my articles have been cross-posted to Medium too - had hardly any views on there as I haven't promoted at all nor got involved in the community. I simply don't have the time between all other avenues and my day job.
I haven't set up a Facebook as it would be real ground floor - again I don't have time and feel that Quora is more suited to my niche.
I have applied for an account on SteemIt, where I plan to cross-post to and add more daily content. This is a very new social media / blogging platform, so I hope to be getting in near the ground floor. The community upvote you and you get paid depending on votes/likes.
Made 3 YouTube videos which have around 90 views between them - I plan to make more YouTube content, however, it's very time-consuming to make slides, transcript and record. All of this on top my work and blog posts means it will take time.
Not yet gaining much search traffic - possibly because there isn't yet too much SEO on the site. Should increase as I publish more long form evergreen content.

Subscription Generation:

A full-screen pop-up on my landing page, which you need to click around to read articles
Standard subscription form in the sidebar
Recently added a floating footer - made this a bright colour to gain attention and make it more obvious
Will potentially add a subscription lock to some content in future, but want more traffic before I start to do this

Going Forward:

I have 22 drafts currently, all at various stages of being written - some finished, some aren't even started
Plenty of ideas written in my notepad (50+)
Will continue posting one long-form article per week - gives time for social proof + writing + not appearing spammy
Have written the first two posts of a 10-part beginners series - extremely long form. Not sure whether to put this behind a free subscription wall yet or not
Link to more external sources - realised it seems to generate views even if they don't backlink to you + probably helps with Google search

I will probably do another update in a couple of months.
For now, I'm really happy with how it is going. My main takeaway is that I have discovered how cathartic writing can be, in amongst my incredibly stressful job. I hope you enjoyed the write-up! Feel free to ask any questions and any critiques!

Useful Metatrader 4 Hotkeys and Shortcuts

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

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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
53 points, 1 submission: agifft3_omscs
1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
23 points, 1 submission: gong6
1. Is manual strategy ready? (23 points, 6 comments)
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)
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)
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)
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)
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)
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)
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)
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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[Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
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Proper git workflow by jan-laszlo (43 points, 19 comments)
Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
defeat_learner test case by swamijay (34 points, 38 comments)
Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
Deadline extension? by johannes_92 (26 points, 40 comments)

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19 points: yokh_cs7646's comment in For online students: Participation check #2
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Market Profile - ProRealTime

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