Market-profile — TradingView

10 Ways to Make Money Online in South Africa

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.

  1. 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
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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!
  7. 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.
  8. 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/
  9. 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!
  10. 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.
submitted by MrPassiveIncome to beermoneysouthafrican [link] [comments]

2.5 years and 145 backtested trades later

I have a habit of backtesting every strategy I find as long as it makes sense. I find it fun, and even if the strategy ends up being underperforming, it gives me a good excuse to gain valuable chart experience that would normally take years to gather. After I backtest something, I compare it to my current methodology, and usually conclude that mine is better either because it has a better performance or the new method requires too much time to manage (Spoiler: until now, I like this better)
During the last two days, I have worked on backtesting ParallaxFx strategy, as it seemed promising and it seemed to fit my personality (a lazy fuck who will happily halve his yearly return if it means he can spend 10% less time in front of the screens). My backtesting is preliminary, and I didn't delve very deep in the data gathering. I usually track all sort of stuff, but for this first pass, I sticked to the main indicators of performance over a restricted sample size of markets.
Before I share my results with you, I always feel the need to make a preface that I know most people will ignore.
Strategy
I am not going to go into the strategy in this thread. If you haven't read the series of threads by the guy who shared it, go here.
As suggested by my mentioned personality type, I went with the passive management options of ParallaxFx's strategy. After a valid setup forms, I place two orders of half my risk. I add or remove 1 pip from each level to account for spread.
Sample
I tested this strategy over the seven major currency pairs: AUDUSD, USDCAD, NZDUSD, GBPUSD, USDJPY, EURUSD, USDCHF. The time period started on January 1th 2018 and ended on July 1th 2020, so a 2.5 years backtest. I tested over the D1 timeframe, and I plan on testing other timeframes.
My "protocol" for backtesting is that, if I like what I see during this phase, I will move to the second phase where I'll backtest over 5 years and 28 currency pairs.
Units of measure
I used R multiples to track my performance. If you don't know what they are, I'm too sleepy to explain right now. This article explains what they are. The gist is that the results you'll see do not take into consideration compounding and they normalize volatility (something pips don't do, and why pips are in my opinion a terrible unit of measure for performance) as well as percentage risk (you can attach variable risk profiles on your R values to optimize position sizing in order to maximize returns and minimize drawdowns, but I won't get into that).
Results
I am not going to link the spreadsheet directly, because it is in my GDrive folder and that would allow you to see my personal information. I will attach screenshots of both the results and the list of trades. In the latter, I have included the day of entry for each trade, so if you're up to the task, you can cross-reference all the trades I have placed to make sure I am not making things up.
Overall results: R Curve and Segmented performance.
List of trades: 1, 2, 3, 4, 5, 6, 7. Something to note: I treated every half position as an individual trade for the sake of simplicity. It should not mess with the results, but it simply means you will see huge streaks of wins and losses. This does not matter because I'm half risk in each of them, so a winstreak of 6 trades is just a winstreak of 3 trades.
For reference:
Thoughts
Nice. I'll keep testing. As of now it is vastly better than my current strategy.
submitted by Vanguer to Forex [link] [comments]

DIGITAL GOLD STABLE COIN, THE PREFERABLE STORE OF WEALTH

DIGITAL GOLD STABLE COIN, THE PREFERABLE STORE OF WEALTH
The price of gold has grown over time considering the fact that then, as with it, the demanding situations associated with getting access to, shopping, and securely storing it.

The relative balance in the charge of gold and how it is able to serve the cryptocurrency market

https://preview.redd.it/k5pv92f5cxa41.jpg?width=276&format=pjpg&auto=webp&s=16862330c0c104a41d362ed6eb4031ea7752f7af
Gold purchases nowadays for the sake of investing. One of the important features of gold within the forex market is to serve as a shop of wealth asides being actively traded. This can easily be seen by means of the appreciation inside the value of gold on every occasion the strength of the quote currency weakens as is the case with the US greenback.
This store of wealth and relative charge stability should easily serve the cryptocurrency marketplace which is susceptible to high volatility in prices.

A short comparison should effortlessly be proven the usage of the rate fluctuation of Bitcoin(BTC) and Gold inside the closing thirty days. Within this era, BTC has skilled fee depreciation of over $four 000 while gold has experienced handiest mild depreciation amid fluctuation of about $sixty two, this statistics is graphically shown under.

How Digital Gold makes gold an easy means of settlement
Why go through the hassles of holding physical gold and its related dangers whilst you may own digital tokens securely subsidized by way of bodily gold?

https://preview.redd.it/saq7qh36cxa41.jpg?width=299&format=pjpg&auto=webp&s=c786ca47ba7ae2e9d09b63abe008f806a339a1dd
Unless you live in Saudi Arabia or China, it's far distinctly not going so that it will make a withdrawal at the ATM in gold to make purchases or for settling a few other monetary obligation. This makes gold — even though a notable keep of value — beside the point for day-to-day prices.

DIGITAL GOLD employs blockchain technology within the tokenization of gold to create Ethereum-primarily based tokens that are compliant with the ERC20 protocol.
These tokens called the Digital Gold Token (GOLD) serve to offer liquidity for bodily gold of excessive purity(99% FINE gold) which can be effectively saved inside the organization’s vault.

https://preview.redd.it/6a9h6xbacxa41.jpg?width=275&format=pjpg&auto=webp&s=be0d06ed7f6da836d3c9eb4439f54097bc0b943c
In case you’re thinking whether or not or no longer the vault might be empty,(due to the fact I concept of it), the vault is audited via BullionStar with which the undertaking has entered right into a partnership. This is to make certain transparency and to affirm that tokenized gold is appropriately stored.
Whenever any gram of gold is tokenized, a corresponding quantity of gold is physically devoted to the organisation’s vault and the quantity of gold saved can be proven at any given time.

https://preview.redd.it/tyxxxs67cxa41.jpg?width=300&format=pjpg&auto=webp&s=57bf95526cae4b0c85ed0f07f251631ad155b5b7
Since the procedure of token purchase (which corresponds to the tokenization system) is controlled with the aid of smart contracts and securely saved at the decentralized infrastructure of the blockchain, transaction info cannot be altered, making sure in addition duty and transparency.


The Digital Gold Marketplace
To facilitate further liquidity, the Digital Gold platform has developed its marketplace for the smooth purchase, sales, and the replacing of the Digital Gold token for other cryptocurrencies like BTC or Ether. Relevant facts at the fees of gold and other cryptocurrencies like real-time costs and charts can easily be accessed to enable users to make informed transaction choices.

https://preview.redd.it/ha971o78cxa41.jpg?width=259&format=pjpg&auto=webp&s=2dd6df11daf3cb6075ca1ddcefa98beeb07357f1
Conclusion
A display of proper confidence and proof of price; a completely evolved platform completely self-funded.

It is important to word that within the blockchain space wherein most projects input into the crypto currency marketplace via a few form of crowdfunding (ICO, IEO, STO), Digital Gold is a completely self-funded venture. Most initiatives improve price range through crowdfunding proceeding to create or increase a few service or generation that can or won't be of cost to the cryptocurrency ecosystem, ultimately, now not to mention tasks that come into the space proceeding to defraud investors.

Exchange charge as at the time of publishing

Cryptex Exchange
Catex Exchange
Consbit Exchange
Livecoin Exchange
Bitforex Exchange

GOLD provides the cryptocurrency area with the precise gateway into the gold marketplace even as additionally imparting similarly liquidity for the gold marketplace via making it available to the short-growing cryptocurrency market, offering enormous fee to each markets.
As technology continues to increase, the tokenization of physical assets will continue to experience in addition adoption due to the reduced dangers related to purchasing and proudly owning tokenized belongings which are subsidized via physical property, their ease of use, the excessive liquidity of the cryptocurrency markets and its income capability.

https://preview.redd.it/395kdv59cxa41.jpg?width=275&format=pjpg&auto=webp&s=da8935e6666e28aaefcbd7c2357cc0c08b4bdf12
Interested in turning into the beneficiary of the virtual technology and benefitting from the lengthy-term appreciation within the price of gold? Or do you want to guard your funds invested inside the cryptocurrency market from doubtlessly negative market conditions? Why no longer become a pioneer of the destiny of bodily property by means of shopping GOLD these days!

Official Website: https://gold.Storage/
White paper: https://gold.Storage/wp.Pdf
Telegram: https://t.Me/digitalgoldcoin
Twitter: https://twitter.Com/gold_erc20
Medium: https://medium.Com/@digitalgoldcoin

Author: ifemini
https://bitcointalk.org/index.php?action=profile;u=2385091
submitted by phinnylizz to CryptoCurrencyChat [link] [comments]

【翻译Quora上一篇问答】中国是否正在面临一次银行危机(谈到房地产) by phoebeDD on 2016-10-04

Is China really facing a banking crisis? What are its origins?
(中国是否正在面对一次银行危机?其根源又是什么?)



According to a recent article titled China facing full-blown banking crisis, world's top financial watchdog war
ns published in the Telegraph:
(根据近期电讯文章报道:“世界顶级金融观察者发出警告:中国正在面临全面的银行危机”)
China has failed to curb excesses in its credit system and faces mounting risks of a full-blown banking crisis
(中国已对债务违约失去控制,他们正在面对随之而来的全面性银行危机)
(中国债务/GDP 占比图)


Financial Crises

International Economics

The Economy

China

Answer
Request
Follow187
Comment1
Share
Downvote


9 Answers
以下为回答部分:





Robin Daverman, Dealmaker
Written Sep 27


Ah, but maybe you want to look around a bit and see how China’s total debt is compared with other economies, like this?
(你可能想看看其他经济体与中国的债务情况相比是怎么样的,如下图)

(G10债务分布图)
If you put China’s data on this chart, it will be somewhere around Canada and New Zealand. Guess Which Country Has Debt Of Nearly 1000% Of GDP... Shocking, isn’t it?
如果你将中国的数据插入上图进行比较的话,中国的数据大约会在加拿大和新西兰之间。猜猜看哪个国家债务大约是自己GDP的10倍....(英国)非常震惊吧
UK has almost 1000% Debt-to-GDP ratio, compared with China’s < 300% Debt-to-GDP ratio, mostly because of that over-sized financial debt - at the end of the day, the government must stand behind it. On top of that, the UK has no resource to sell, hardly any industry left, going through a divorce with EU, and almost never ever meets her fiscal targets. And yet, UK, with its near 1000% debt-to-GDP ratio, is still viewed as the gold standard among safe havens. PRESENTING: The Rosetta Stone Of The Entire Sovereign Debt Crisis Why? Because UK issues debt in her own currency. And who prints the pound? The UK government.
英国的债务/GDP占比将近1000%而中国只是小于300%,其原因是其过于庞大的金融债务——政府最终将不得不为之站台。在此之上,英国没用可出售的资源,没有任何本国工业,正在脱离欧盟,而且英国基本上从来没有达成其财务目标。即使如此,英国仍然被某些传媒视为安全经济体的黄金标准。其原因就是英债都以英镑的方式结算。那么是谁印英镑的呢?英国政府。
Then you take a look at Japan, wow that’s 600%+ debt-to-GDP ratio! But - Japan’s debt is not only mostly internal, in Japanese Yen, but also with 0% or even negative interest. You can roll this kind of debt over practically forever. That’s why people have been yelling about Japanese debt for the last 20 years, and nothing happens.
然后你看看日本,将近600%的债务/GDP占比!但是,日本的债务几乎都是内部的,以日元的形式出售的债务,而且日本是0利率甚至是负利率。实际上这种债务你可以无限积累下去(经济常识:如果是负利率,政府只要保持债务不变,多出来的部分会自行消失)。这就是为啥人们对日债担心了20年但屁事没有发生。
Then you take a look at those economies that have blown up on debt:
Argentina: Government/Sovereign debt in USD, with jurisdiction in New York!Greece: Government/Sovereign debt in Euro, with jurisdiction in Brussels!Iceland: External financial debt → nationalized into Government/Sovereign debt in USD and Euro alone was 700%+ GDP in 2008, with jurisdiction in New York and Brussels.
然后你看看那些因债务问题毁掉的经济体:
阿根廷:政府/主权债务以美元形式结算,其裁判权在纽约!希腊:政府/主权债务以欧元方式结算,其裁判权在布鲁塞尔!冰岛:外部金融债务→债务国有化后2008年政府/主权债务以美元和欧元的形式达到GDP的700%,其裁判权在纽约和布鲁塞尔
Then you look at China, with her debt almost entirely internal, in Chinese RMB to Chinese citizens, government debt at 55%, lower than the US, Japan, and EU average, in her own currency. China’s external debt is about 9% of GDP, globally ranked 184th (less than North Korea, similar to Kosovo) - anyway you look at it, it’s hardly the kind of material to make a banking crisis. China is borrowing a little bit from her own piggy bank. Argentina/Greece/Iceland were borrowing a lot from the Mafia.
然后你看看中国,中国的债务基本都是内部以人民币结算的。中国政府债务只占总债务的55%,比美国,日本和欧盟都要低,再次强调,其债务以人民币结算。中国外部债务只占GDP的9%,全球排行184位(比朝鲜低,比科索沃高)。无论怎么看,你都不会看到中国有任何银行危机的迹象。中国只是向其国内贪心的银行借钱。阿根廷/希腊/冰岛可是像美国欧盟这些黑手党借钱。
PS: The most significant increase in China’s debt is in the financial sector, driven by rising real estate price (which means higher value of housing loans). Right now, the Chinese government is basically using it as a tool to do macro-economic engineering. The goal is to cap urban growth in top tier cities (Beijing, Shanghai, etc.) and push the economic growth to second- and third- tier cities (Hangzhou, the city that just hosted G20, is an example.http://www.g20.org/English/Hangzhou/About/index.html Now you can look back and see why the Chinese government decided to host G20 in a city nobody has ever heard of). This is clearly stated by the Chinese government like 100 times since last year in the official news channels. The reason? Top tier Chinese cities like Shanghai (25 million) already have more city residents than the whole nation of Australia! The metropolitan area of Shanghai (44 million) has more people than the entire population of Canada! In one city! Beijing’s population grew by 8 million within the last decade! The place is simply full.List of cities in China by population and built-up area
PS: 中国最显著的债务增长是在其金融领域内不断升高的房价造成的(不断增高的房贷造成债务问题)。现在中国政府正在利用房价作为宏观经济调控的工具。其目的是限制一线城市的城市化进程和加速二三线城市的发展(刚刚举办了G20的杭州就是个例子,现在你就能知道为啥中国政府将G20放在一个没人听说过的城市举行了)。这些政策中国政府已经在官媒上宣布了无数次。原因就是一线城市,例如上海(2500万人口),其居民数量比阿根廷全国人口还要多!上海都市圈(4400万人口)的人口数量比加拿大全国还要多!北京人口数量在过去的10年内增长了800万!这些城市的人口数量已经饱和了。
In addition to real estate prices, the Chinese government is also doing stuff like restricting residents permits, disallowing second or third homes, even restricting jobs to local residents, everything to say “this place is full. We have these other nice choices, with lower housing prices. Go there.” Young people complaining about housing prices in tier-one cities? But that’s the whole point. The debt you have to take on to live in tier-one cities SHOULD SCARE YOU OFF. The Chinese government is trying to stop the influx of people pouring into tier-one cities, and get these smart and energetic youths to go build two, three, four, five. … more Shanghai’s in other parts of China. 1.4 billion people can’t all fit into tier-one cities.
除了以房地产为手段,中国政府也加强控制了居住证的发放,禁止第二/三套房买入甚至对本地居民的工作种类进行限制,这些都是为了表达一个意思:这些地方都人满为患了。二三线城市有更低的房价和更好的生活条件,快点去那里吧!年轻人都在抱怨一线城市的高房价?但这就是中国政府想要的。你在一线城市生存需要的代价会把你吓退。中国政府正在尝试控制一线城市的人口流入而让有技术和充满活力的年轻人去建设二三四五线城市——让更多的上海出现在国家的其他地方。14亿人口是没可能全部都聚集在一线城市的。
5.9k Views · View Upvotes
Upvote91Downvote
Comments4+

Share





Paul Denlinger, Involved in China economics study
Written Sep 27


There is too much debt, and a lot of it is likely to turn into bad debt, but that does not equal a banking crisis.
是因为中国贷款太多了,而这些贷款大多数会变成不良贷款,但这些都不等银行危机
Banking crisis may be a nice term to bandy around and get clicks and headlines, but does not really explain what is going on.
银行危机或许是一个十分吸引眼球的头条,但是根本就不能解释实际的情况
There was a lot of debt financing, especially after the 2008 subprime mortgage crisis in the US. In order to keep the economy on a steady keel, the Chinese government, through its banks, pumped money to Chinese state-owned enterprises, in order to keep high employment and maintain an image of “growth”. A lot of this money then found its way into the underground banking system through “wealth management products” and other means. A lot of this has turned into bad debt.
中国政府有过很多次债务融资,特别是08年美国次贷危机之后。为了稳住经济增长,中国政府通过银行将大量人民币注入到国企内以维持就业率和高增长的形象。但这些钱最终大都以理财产品和其他形式流进了地下钱庄。这些大部分都变成了不良贷款。
Another problem area, which frequently overlaps with the “wealth management products” is the local government financing vehicle used to fund local property development, which I have discussed here: Paul Denlinger's answer to Why does China have so many ghost towns?
另一个有问题的领域,和“理财产品”有莫大关联的,就是地方政府为当地基础建设所采用的金融工具(我在这个地方有详细的分析:https://www.quora.com/Why-does-China-have-so-many-ghost-towns/answePaul-Denlinger?srid=tR&share=22b99cfc
What is likely to happen in China is that growth will slow down in some areas, while there will be certain newer parts of the economy which will continue to grow. If the Chinese government is able to support the newer parts of the economy and help them to grow, while cutting back on loans to the weaker parts of the economy, it may be able to handle this transition better.
最可能发生的情况就是中国的经济增长将会放缓,但是肯定会用新的增站点。如果中国政府能支持新的增长点而且能减低夕阳工业的不良贷款率,那么或许能更好地度过过渡期。
This is exactly what the Chinese government is trying to do and you can read about it here:Here is how China is going to quietly save its economy
这些正是中国政府正在尝试去做的,你可以读读这个文章了解一下:http://www.scmp.com/news/china/economy/article/2022491/china-deploys-policy-banks-stealth-mission-stimulate-growth
So, if you are expecting there to be a dramatic run on the banks, and the Chinese people to take to the streets and overthrow the Chinese Communist Party, and become a full-blown democracy like Taiwan, Japan or South Korea, you are very likely to be disappointed.
所以,如果你是期待一次强烈的bank run(自行百度啥是bank run),然后中国人民上街推翻TG,中国大陆变成与台湾,日本韩国一样的政体,那么你要失望了。
4.3k Views · View Upvotes
Upvote62Downvote
Comments2+

Share





Nikhil Ambhorkar, Self studied Finance.
Written Sep 26


Is China facing a Banking crisis?
中国是在面临一个银行危机吗?
Yes.

Is it facing a full blown Banking crisis?
中国正在面临一个全面性的银行危机吗?
No.

Combined debt of China is almost 300% of its GDP. But the the categorized in 4 parts as it is shown in the image with the question too.
中国的总债务大概是GDP的300%。但是分在了如图所示的4个领域内。
The corporate debt has the lion's portion of the total debt. The household debt and non corporate debt are nothing to worry about because it is less many other developed countries and has some room to grow.
公司债务在总债务中占了大头。个人债务和非公司债务根本没啥可担心的因为这些比大多数发达国家还要低所以还有增长的空间。
Government Debt is not too big when compared to standards set by many global institutions like IMF, World Bank, etc.
政府债务以多数国际组织,例如世行和IMF,设定得标准来看其实不高。
The only major concern which is of a serious magnitude is the corporate debt. This is also reiterated by many economists.
最主要的关注点就是公司债务了。许多经济学家都重申了这点无数次了。
Now the problem with China is that data that comes out of major Chinese institutions is murky so their are many different types of estimates by many different institutions but the common theme in it is corporate debt and its size.
中国最大的问题就是中国国内组织公布的数据来源不清晰所以不同的国际组织对中国经济的实际情况估算会不一样。但所有组织最关心的都是中国的公司债务与其规模。
Corporate debt consists of debt owned by state owned corporations and private corporations. Private corporations in China are generally crowded out by the state owned corporations because of connections and political agenda.
公司债务又分成了国企和私企的债务。中国私企大多数收到国企排挤,这是有政体造成的。
Many state owned corporations have invested into unproductive projects as a result of excess boost given by government after 2008 to prop up the economy. This has resulted in a huge amount of NPAs. So, in all the major problem is state owned corporations piling up huge amount of debt. To solve this problem, the government tried to convert the debt into shares which the bank owns and can recover money through profit dividends but this was one of the causes for last year's stock market crash.
在08年过度的经济刺激政策下,很多国企在许多无效益项目上投了许多钱。这造成了大量的无效能资产。所以,最大的问题是国企堆积了大量债务。为了解决这个问题,政府正在尝试将国企的债务转化为股份,那么银行就能将债务转化为红利而最终将债务收回了。但这造成了上年的股灾.....
Hence, it is a big crisis but not the one government cannot handle with so much trade surplus and forex reserves. But actions are definitely needed to stop it from growing into a bigger problem.
所以,这是一个危机但仍然是政府能控制的,毕竟中国政府有大量贸易顺差和外汇储备。但是仍然需要实际行动来防止事态的扩展。
906 Views · View Upvotes
Upvote18Downvote
Comments1+

Share



submitted by robot301_01 to kfq [link] [comments]

Grinding Out Gains - Weekly Recap #1

In Monday's Daily Discussion thread I asked if anyone was interested in me doing a weekly recap of my experiences trading a new strategy that I've been working on for a couple of months now. There was interest, so here it is. I'm not here to sell anything, or to hold your hand and teach you how to trade. I don't really know why I'm here to be honest. I'm also not a pro trader (yet).

The Strategy:

A little about the strategy - it revolves around the use of volume profile. A trade-able set up essentially boils down to 3 key steps:
1 - Find a strong directional move.
2 - Find a stall in price either before or within the strong move.
3 - Find a relatively high volume node within that stall. Set a limit order there and wait for a retest.
There's a bunch more nuance to it but that's the general idea.

My week:

Chart of the Week:

This was the trade I took on Friday. Who says you can't pick up pennies in front of a steamroller?

Myfxbook link:

As promised.
See you next week. I'll be a better trader by then. Will you?
submitted by confluencefx to Forex [link] [comments]

Crypto exchange trade. Remember psychology!

https://medium.com/@sergiygolubyev/crypto-exchange-trade-remember-psychology-6d4433569d9d
Crypto Exchange is a high-tech platform in which all trade transactions are conducted using modern software created based on the latest IT solutions. The emergence of new types of currencies, in particular cryptocurrencies, gives a chance for the rapid development of the world economy as a whole. In turn, structural changes in the international economic system gave impetus to the emergence and development of new types of exchange technologies. Thus, crypto exchanges appeared which allowed its participants anywhere in the world to buy, sell and exchange one cryptocurrency for others, or for fiat of other countries. Each crypto exchange tries to offer customers convenient ways to convert financial instruments, and provides the ability to conduct transactions on its own terms. The high rates of development and distribution of cryptocurrencies, which are based on Blockchain, as well as the gradual wide recognition by the world community and leading economists, ensure the further improvement of exchange technologies. This means that in an effort to provide the most comfortable conditions for its customers, each crypto exchange will take them to an ever-higher quality level of service with innovative nuances. But at the same time, within the framework of the technological process of stock trading, which is available to users (from professional traders to amateurs), the question of psychology and its role in the decision making has not been canceled. Successful trading depends on 70% primarily on the psychology of a trader and only 30% on the trading scheme/strategy.
Trading on the exchange, it is necessary to develop discipline, self-control and be able to respond quickly to changing stock charts. All this will allow you to earn and minimize your losses more effectively. Everyone should remember, from the amateur to the professional, that in the financial markets you can not only earn money, but also lose money. Cryptocurrency rates are still subject to political and regulatory influences; their value is influenced by the reputation of the company's founders, informational insertions about blockchain projects and plans for their further development, scandals and disclosures. Nevertheless, there are simple rules for successful trading from the field of psychology, which will reduce the risks when trying to make money on cryptocurrency and not only. There are a number of problems that always hinder every beginner - amateur:
· Excitement
· Fear
· Greed
· Unwillingness to learn new things
· Imaginary visualization of results
All these problems have psychological aspects. Emotions, feelings and desires significantly influence the trading decisions made by the trader. This happens all the time, not only on traditional exchanges, but also in the cryptocurrency sphere as well. Excitement is an emotional state when it seems to a person that he is lucky, and as the series of successful transactions continues, he performs larger by volume financial transactions. Often, the excitement motivates to turn away from long-term transactions and trends, and look towards short-term operations. After all, it seems that the more often you successfully complete operations, the more capital you earn. Not at all! The more often you make mistakes, leading to a default on your account. Money only is earned on long-term trends and operations. Traders are often worried, fearing an unsuccessful deal closing.
Of course, a loss is bad, but sometimes it is better to close a position in minus than to lose a large amount only because of the hope of a quick price reversal. Therefore, fear often pushes for the wrong strategic decisions. Fear of loss as a result becomes a sentence for your positioning in profit. On the same face with fear, if not strange, is the factor of greed. Having essentially a different source of inspiration, greed, like fear, leads to a generally pitiable result — to the default of your trading account. The reluctance to learn new strategies, technologies, and denial of forecasting also leads to failure. Successful is who always strives to learn new things, and perceives the fact and necessity of continuous learning. Since learning is a process of striving for the progress of its results and professional qualities. Another scourge - Wish list or visualization. Everyone wants to see the price move in the right direction. This is pretty dangerous. By visualizing the price jump in the right direction, you can dream and invest too much in cryptocurrency. This will lead to losses. Here you should always remember to diversify your investments. Remember your psychological portrait even when you program your trading strategies, algorithms and bots. After all, your algorithm is essentially your psychological portrait. Finally, the above-mentioned flaws, especially in the strategy can dominate and damage your deposit and reputation. The main signs of competent crypto-trade are the same as on other exchanges (such as FOREX). This is a kind of algorithm for a sustainable profit strategy:
· Risk no more than 10% of the deposit
· Use risk per trade of 5% or less
· Do not close profitable deals too early
· Do not accumulate losing trades
· Fix quick speculative profit
· Respect the trend
· Pay more attention to liquid assets (cryptocurrency)
· Set your personal entry and exit rules for trades and stick to them
· Long-term trading strategy gives you maximum steady profits
· Do not use the principles of Martingale tactics if there is no experience. You cannot double the volume of the transaction, if it closed in the red zone. If a loss was incurred, then the cryptocurrency market situation was predicted incorrectly and it was necessary to work on improving the analytical skills, and not to conclude a larger deal, which probably also closes in the negative
It is obvious that the psychology of trading significantly affects the performance of stock speculation both in the traditional market and in the field of cryptocurrency. It is important to remember that the success of a person in any field of activity depends on the emotional component, namely the internal balance. Exchange trading is a nervous activity, and if you do not learn to take emotions under control, the results can be disastrous. The basis for achieving success in stock trading, in my opinion, are two fundamental factors. The first factor relates to the field of formulation of the trading idea, and the second - to the area of ​​its implementation.
To formulate a trading idea, on the one hand, methods of technical and fundamental analysis are used to select an exchange instrument and determine the moment of opening and closing a position on it. On the other hand, capital management methods are used to determine the optimal size of the position being opened. As you know, without these two crucial moments it is impossible to achieve stable success in stock trading. As experience shows, for the most part, people have enough intelligence to master all the necessary theoretical knowledge of technical and fundamental analysis in a few months of intensive training. There are no special intellectual difficulties. But, as the same experience shows, this is clearly not enough for successful exchange trading, since all knowledge may turn out to be a useless load if the second success factor is not sufficiently present - the practical implementation of trading ideas, which is no longer based on the intellectual sphere, and psycho-emotional. It is within this area that the main problem arises for many traders, which prevents the receipt of stable profits. As a rule, this is due to the psycho-emotional profile of a person. It depends on how the trader will behave in the psychologically stressful situations that the exchange trading is full of. Inherent in all human emotions and feelings - fear, greed, excitement, envy, hope, etc. very often have a decisive influence on the behavior of traders, not allowing them to follow strictly the trading strategy and plan, even if they have one. From a psychological point of view, the process of stock exchange activity can be divided into stages, after which the trader can return to the starting point. The above scenarios and risk factors are one of the options for the behavior of an exchange speculator; however, it often happens exactly the opposite. Having suffered losses from his first transactions in the market, the trader loses interest in exchange trading, he gives up and he falls into despair. In this case, the first step to victory is the admission of defeat. It would seem silly and ridiculous, but it works. After that, there are two options: either the trader leaves the exchange forever, or returns to the battlefield. Such “returns” may occur more than once. In addition, at some other time, after repeated analysis of his actions, mistakes made and their consequences, a person from a beginner begins to turn into an experienced trader, which is marked by the stability of his activity and, perhaps, by slow, but surely growth of his deposit and profit. The psychological basis for success in trading, which leads to victory and the absence of which is equivalent to defeat, are as follows:
· It is not only the lack of self-control, discipline and focus on the process that causes the defeat
· Self-control, discipline and ability to concentrate is not enough to achieve success
· To achieve success, it is equally important to be able to adapt to changes
In principle, one can consider the idea that traditional approaches to the psychology of trading are limited. In the majority of benefits for traders, the key qualities necessary for successful exchange trading are only self-control and discipline. Of course, these qualities are necessary in any field of business activities. Trading is not an exception, especially considering that it is in the risk zone. But self-control and discipline are not enough to achieve success. Trading is a business. Moreover, any business does not stand still. You cannot find a formula for success and use it forever. You will need to monitor trends and constantly look for new successful solutions.
The main feature of a successful trader is adaptability to changes. The lack of development leads to defeat, large monetary losses. Many technology companies continued to produce stationary computers when laptops became popular. The same companies continued to produce laptops when tablets appeared and became popular. The products of these companies were of high quality, and their employees organized pre-set tasks in an organized manner. But they lost large sums due to the fact that they could not adapt to changes in demand. If we draw a parallel with the sphere of investment, the similarities will become noticeable. The stock market, like any other subject to change. One period is replaced by another. Those methods that allowed achieving success in the previous period can lead to failure in the current. The key concept in stock trading is volatility. The change in this indicates the onset of a new period. When volatility increases, trade becomes more risky. Accordingly, with a decrease in this indicator, the degree of risk during trading operations decreases. With a high level of volatility, trends most often unfold. Strong and weak positions can be swapped out. With a high level of volatility, trends continue for some time. From the foregoing, it should be concluded that market processes and methods during periods of high and low volatility differ strongly. You cannot use the same methods during changing market trends. Often it is the adherence to the previous methods, excessive discipline leads to collapse as well. The fact that the investor was defeated does not mean that he suddenly became morally unstable, unorganized. Trading is trading.
Therefore, we have every right to assert that under the psychology of trade in the markets is meant human preparedness for the risks that inevitably accompany any activity. Trading on the stock exchange is based on the interaction of the three most important components: capital management, analysis, and the psychology of trading (which cannot be considered in conjunction with the other aspects of trading). The psychology of human behavior is a source for understanding what is happening in financial markets. The source for understanding the events occurring in the financial markets and the behavior of traders during exchange trading is the psychology of the human person. Emotions — greed, fear, doubt, hope, a sense of self-preservation — are peculiar to any person in life — are clearly manifested in the hard rhythm of decision-making during the dynamic course of exchange trading (which was partially considered above). Knowledge of the human psychology and their behavioral characteristics must be used to achieve success. The psychology of a trader is formed from a multitude of grains - it is a belief in what one does in the stock market, in one’s actions, in own system of one’s decisions, in trading method. In addition, the psychology of a trader is that one can unload oneself emotionally, one does not accept the intellectual challenge that the stock market carries. On the contrary, becomes restrained, calm when making decisions on operations in the stock market. There are many situations where a trader expresses his attention and focus; he does not disperse it on the tracking of news factors or on the receipt of stimuli from the news agencies. Consequently, the crowd psychology is the factor that makes prices move, therefore, in addition to assessing one's own psychological state, one must be sensitive to changes in the mood of other market participants, move in the flow, not against it, and then success will not take long.
Of course, you can argue that why do I need this psychology? After all, besides creating your own strategies and individual work, some exchanges (including crypto exchanges) allow minimizing risks by following the strategies of experienced traders; this service is called a PAMM account. PAMM provides an opportunity for clients (Subscribers) to follow the trading strategy of experienced and professional traders (Providers). Provider's trading results are publicly available. With the help of the rating of accounts, graphs of profitability and reviews of other traders, you can choose the most suitable Provider and begin to follow his strategy. Again, in this case, the provider is a human with all the ensuing consequences. And psychological aspects are not foreign to professionals as well, including victories and mistakes. The financial market attracts people the possibility of obtaining independence, including financial. A successful trader can live and work in any country in the world without having either a boss or subordinates. The motivation of people on the exchanges can be different: from getting a higher percentage than from a bank to making several thousand dollars a day. At the same time, there are two main categories of people in the financial market (including cryptocurrencies): investors who acquire assets or currency for a relatively long period, and speculators who profit from changes in the prices of certain assets for short periods. Many believe, an easy way to make money is not for everybody. First, the skillful use and manipulation of the psychological aspects of a human make it possible to become a speculator. And this, of course, in addition to knowledge and analytical skills. Experience shows that successful speculation is the right state of mind. It would seem that this is the simplest thing that can be acquired by human. But in fact, this self-tuning is available to very few. It is also necessary to distinguish the psychology of the market and the personal psychology of the trader. The behavior of the market as a whole depends on people, since it is the stock market crowd that determines its direction. However, quite often traders lose sight of the most important component of victory - managing their personal emotions, that is, their psychology. Without control over oneself, there can be no control over one’s trading capital. If a trader is not tuned to the trend range of the stock crowd, if he does not pay attention to changes in her psychology, then he will also not achieve significant success in trading. To succeed on the exchange, one needs to take a sober look at exchange trading, recognize its trends and their changes, and not waste time on dreams or lamenting about failures.
Any price of a financial instrument is a momentary agreement on its value, reached by a market crowd and expressed in the fact of a transaction, i.e. it is the equilibrium point between the players for a rise and a fall, or the "equilibrium" price. Crowds of traders create asset prices: buyers, sellers and fluctuating market watchers. Charts of prices and trading volumes reflect the psychology of the exchange. In addition, this is always worth remembering! After all, the main purpose of the presence of the analysis of psychology in stock trading is not the quantity, but the quality of transactions. A person striving to become a good trader needs to remember the words of DiNapoli, a well-known stock exchange trader: “The most important trading tool is not a computer, not a service for supplying information, or even methods developed by a trader. It is he himself! If a trader is not suitable for this - he should not trade at all”! Therefore, before pushing orders on the trading platform, think about whether you are suitable for this role.
Join chat — https://t.me/joinchat/AAAAAE84vCXg5PK-VpHADg
Sergiy Golubyev (Сергей Голубев)
EU structural funds, ICO projects, NGO & investment projects, project management, comprehensive support of business
submitted by Golubyev_Sergiy to u/Golubyev_Sergiy [link] [comments]

Bitcoin price forecast, using BCG matrix

Bitcoin price forecast, using BCG matrix
BTCUSD analysis: Bitcoin forecast

Experimental analysis of BTCUSD trends by means of Boston Consulting Group matrix

Telegram channel — trading signals btc, eth, xrp
Today, I’ll go on to analyze the BTCUSD pair, as all the other altcoins depend on it.
A couple of days ago, there was quite and important fundamental event that was hardly responded by the crypto market. It is about the G20 meeting that was held in Argentina.
One of the most important agenda items was digital economy. As you know, they were discussing cryptocurrencies and the future of the crypto market. Following up on this meeting there was drafted a declaration. At first sight, it doesn’t seem to present any sensational solutions. However, the leaders of G-20 member-countries have admitted that cryptocurrencies and blockchain technology has a huge potential and its development is important for global economy. On the other hand, they have again emphasized the officials’ concern about poor regulation of the cryptocurrency market. Here, a particular emphasis is put on the risks, associated with money laundering and the development of illegal markets, as well as terrorist financing.
What does it mean?
It is a good signal for alarmists, who have been already disappointed in cryptocurrencies and dumped their deposits. Nobody will ruin the crypto market. Cryptocurrencies, as a type of investment assets will always exist in one form or another. What’s the point in killing the goose that lays golden eggs?! The hype around the crypto market turned into investors those, who had never thought about investing in any assets. Economic participation of people has sharply increased. There appeared whole industrial sector that became almost national idea for particular countries. It is far easier to legalize cryptocurrency and impose taxation, rather than to fight with the products of digital economy. The Group of 20 were discussing the issue of developing a taxation system for international digital services. It means only one thing - one way or another, the whole cryptocurrency market will be split into two parts; the first one will be completely transparent not only for users but for public authorities as well. There will be institutional investors and banks, along with corporations. There, the cryptocurrency will be completely integrated into banking services and become publicly available and user-friendly. Everything will be legalized and regulated. The second part will become a part of shadow economy and will be under continuous pressure from regulators and governmental authorities. The users of such cryptocurrencies will be automatically recognized as financiers of terrorism and accomplices in money laundering. The users of such cryptocurrencies will face potential imprisonment and international prosecution.
Even if it sounds unreal now, but if the G-20 are seriously discussing the cryptocurrency matter, I’m sure that the country leaders will join their efforts to bring this scenario into reality. So, I won’t be surprised if, in a few years, there will be another bitcoin fork that will be recognized by the Group of 20, included into gold and forex reserve and will become a new payment means; and the old bitcoin will become illegal and will be traded secretly.
But now, it is still an assumption and won’t come true in the new future.
I’d like to perform technical analysis of the current bitcoin market sentiment to find out what is going to be in the near future.
https://preview.redd.it/7jfpz6euou221.png?width=1954&format=png&auto=webp&s=ed0798ef8938d6da6be3e33392b32d20054fa5b2
In my previous analysis a week ago, I offered a long-term forecast for the next 10 months, suggesting the major target at 2000 USD to be reached around October, 2019.
I still believe that the bottom at 2000 USD looks quite justified, in terms of both fundamental and technical analysis.
This scenario can be real in fact, if bitcoin will be moving in the downward channel with a corridor of about 3000 USD. Previously, BTC could be moving faster in a few days, but in the current crypto market situation, such a narrow range looks reasonable. However, Bitcoin has never moved as it was expected by the majority of traders.
I compared in detail the current market situation with the Bitcoin drop in 2014 and noticed some regularities that I emphasized in the last forecast for bitcoin future price.

https://preview.redd.it/ut5jhcpvou221.png?width=1954&format=png&auto=webp&s=a1f0582387490922b0b9aebd34a93a8cc7703948
If you look closer, you’ll see from the chart above that the bullish trend had been speeding up since August, 2014, and reached its peak in December.
I wouldn’t try to fit this into particular dates or months, but if I try to draw a direct parallel with the Bitcoin current fall, it should start falling faster.

https://preview.redd.it/rlixmzkwou221.png?width=1954&format=png&auto=webp&s=a6086ecddee8770675fdc62dafb726f544e15bad
To better explain my idea, I suggest you look at the chart above.
Many of you are likely to be familiar with the BCG matrix, is a corporate planning tool created by Boston Consulting Group. Long story short, the matrix describes the life-cycle of a product and its position in the market.
I won’t describe it in detail here. I just had an idea to analyze the price trend like a product. A trend is traded in the market like an idea, and each trader votes for it by means of their money, supporting or opposing the idea.
Based on this assumption, a trend, like a product, will pass through four stages:
  1. Entering the market - “Problem child”
  2. Developing stage - “Star”
  3. Developed stage - “Cash cow”
  4. Recession - “Poor dog”
The stage of problem child (also known as “question mark”) is the initial step. The product is just entering the market, but consumers don’t trust it, and so, it needs a large amount of investments. I marked this stage with the yellow circle in the chart above. There are two big dumps. The financial supporters of the drop were investing quite much in their bearish trend, but the buyers didn’t trust that idea and didn’t support it. Next, the product has been accepted by buyers, whose market share was quite high in the market, as well as the rate of sales, starting next. There, comes the stage of growth, the Star!
In the given example, it is the green box that highlights the zone of the steady bearish trend. It was accepted and admitted by the market, and everybody supports the idea of Bitcoin drop. Everybody likes it and thumbs it up. The next stage is the developed stage, or Cash cow. That is when investors begin to gain the yield from their product and the investment is paying off. It the blue circle in the chart above. There, it is clear that manipulators are starting to buy out and get the cheap biotin, making up their funds spent on dumps.
A sure sign of this stage is incredibly high trade volumes.
The last stage is recession, or Poor dog. Such a dog is weak and won’t live for long. The product at this stage is not appealing or demanded. Interpreting this idea, there is a clear red circle in the chart above. Market participants don’t believe in the bearish trend any longer and don’t support the idea by their money. The funders are not interested in promoting this idea as its development costs exceed the potential profit, or it may at all generate negative cash return.
Therefore, the Bitcoin bearish trend, like a product, is leaving the market, being replaced by a different idea.
https://preview.redd.it/ppki39lxou221.png?width=1954&format=png&auto=webp&s=1edcc6d841c3d623a78ac615323620868e52a605
Drawing the same parallel with the ongoing bearish trend, you see that the Problem child stage has been already finished. Due to the strong bearish trend, this stage was lasting for a particularly long time, despite the price drop from 20 000 USD down to 6000 USD. The candlesticks clearly display strong volatility and the buyers’ resistance.
Eventually, following the long fight, market gave up and the bearish entered the stage of Star. It is clear that, due to the longtime resisting, the bulls stepped back, having lost quite much; and each crypto market participant believed in the bearish idea. The stage was developing very fast, and so, it ended quite soon. And it is clear that the BTCUSD downtrend trend is entering the Cash cow stage now.
As I’ve already said, at this stage, manipulators take an advantage of the market inertia and start “milking” the cow, as the marketing specialists call it; traders would say, trick out of hamsters’ money.
https://preview.redd.it/abdwsiizou221.png?width=1954&format=png&auto=webp&s=fa8f3648a3f2a1f755f42f6e2d2deb7c640cab95
It is clear from the 15-minute BTCUSD price chart above that there are frequent buyouts; that is investors are gaining profits from the invested cash. Currently, while weak hands are losing their positions, the whales are buying out cheap bitcoins. It will go on until it becomes clear that the idea of the Bitcoin drop has been finished, and the bears don't have any more power to press the market down.
Most likely, at this stage, manipulators will repeat the same trick and start selling the bitcoins, they’ve already bought, to create stronger panic. People are extremely nervous, and so, manipulators won’t have to dump much.
https://preview.redd.it/itl4gyr0pu221.png?width=1954&format=png&auto=webp&s=7c6943a6a2bd554f1e9e7b44db7fb599c9abe263
If you gain look at the monthly BTCUSD price chart above, you see that the next wave is likely to start in February, 2019. Based on the depth of the plunge, the level at 2000 USD is such an irresistible barrier, which many will start from. I assume that manipulators anticipate this situation and will make their final buyout not going as low as this level. In the volume profile chart, it will look like a hump that I outlined by the red ark. After that, the bearish trend will start exhausting, amid trading flat and weak attempts to draw the price up to 4000 USD. The Bitcoin downtrend will enter the stage of Poor dog.

https://preview.redd.it/n8lplvt1pu221.png?width=1954&format=png&auto=webp&s=955ff6e177191986710e731e2c5158de87b115ac
This period will be dangerous because of extremely low trade volumes, allowing the manipulators to perform various tricks and attempts to crash the market in order to buy more bitcoins at the lowest price level. There is likely to be another slide down before the bearish trend of 2018-2019 will finally end. The final drop is likely to be followed by a new idea, supporting the BTCUSD growth.
The whole cycle will start from the beginning. First, funders will heat the market up, selling the idea to hamsters. Next, supported by the market natural growth, they will launch the rocket up rather high, where they’ll start gaining cash. But that is another story; it is called Bitcoin uptrend of 2019-20??
Unfortunately, the manipulators haven’t yet finished developing their bearish trend, and we’ll have to wait.
That is my updated BTCUSD global scenario.
I wish you good luck and good profits!

Follow us to read important crypto news first!
Telegram
VK
Twitter
submitted by Nick_Kiros to u/Nick_Kiros [link] [comments]

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

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

Top Submitters' Top Submissions

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

Top Commenters

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

Top Submissions

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

Top Comments

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

FREE!!! Market profile for all - Don't waste money on ... Forex Trading the Daily Chart: How to Catch BIG Moves ... Trading Forex with Market Profile (2015) - YouTube How To Trade Forex Chart Patterns Part 1 & LIVE ... - YouTube FOREX: JANUARY 2020 LIVE CHARTS - LIVE TRADES - LIVE PROFITS How to analyse Forex trading charts - Technical Analysis ... How to Mark Up a Forex Chart - for Beginners - YouTube Trading with market profile - Part1 How I Scalp The Forex Market - YouTube Forex chart & Market profile - YouTube

Market Profile Chart Reading has become popular in India after NiftyWizard, a twitter user has profited 50+ lakhs and doubled his trading funds in 2 months during the Market correction of SEPT-OCT, 2018.He credits this success to the Market Profile Chart reading technique and years of practical experience interpreting the price action on these charts. Live Forex Chart Our comprehensive and easy-to-use live Forex chart will help you keep tracks of movements of thousands of currency pairs in the global Forex market. Charts include news and ... Currencies are traded on the Foreign Exchange market, also known as Forex. This is a decentralized market that spans the globe and is considered the largest by trading volume and the most liquid worldwide. Exchange rates fluctuate continuously due to the ever changing market forces of supply and demand. Forex traders buy a currency pair if they think the exchange rate will rise and sell it if ... market-profile — Check out the trading ideas, strategies, opinions, analytics at absolutely no cost! Market Profile And Volume Profile MT5 0 replies. Playing with Market Profile charts 6 replies. Charts, Charts, Charts! 1 reply. Market profile trader-Merged profile 0 replies. Market Profile Charts 1 reply Entstehung des Market Profile. Das Market Profile wurde in den achtziger Jahren von Peter Steidlmayer entwickelt. Steidlmayer war ein Trader an der Chicago Board of Trade (CBOT).. Er suchte nach einer Möglichkeit, einen tieferen Einblick in die Märkte zu bekommen, als man das bislang mit normalen Charts erhielt. Get access to our complete market data and live charts - watch the dynamics of quotations and develop your own trading strategies. Trade currency pairs, precious metals, the major world indices, stocks and commodities. Open long and short positions with favorable conditions (low spreads, preferential swaps).

[index] [24380] [9152] [19520] [12807] [7990] [24125] [21094] [24876] [23122] [11865]

FREE!!! Market profile for all - Don't waste money on ...

#marketprofile #freesoftware #figfortraders Follow us in ----- Telegram :https://t.me/volumeprofiletradesecrets Front page : https://front.page... This webinar goes over the concepts of Market Profile and how you can use these concepts for trading Forex. Learn how to read the market direction and identi... In this video Jay Wayne will teach you how to find popular forex chart patterns such as double tops and double bottoms and how to trade them. Join My Team: h... Have questions, please comment on this video and we will answer them! Join BK Forex Academy: https://bit.ly/2HY2qeN Daily Coaching, Tips, & Trade Ideas - Bri... LIVE FOREX TRADING (LONDON Session) Free Education SEAD FX 306 watching Live now LIVE TRADE OVER $9K IN PROFIT (Do this if you work full time to make money) - Duration: 15:32. #forex #forexlifestyle #forextrader Want to join the A1 Trading Team? See trades taken by our top trading analysts, join our live trading chatroom, and acces... CONTACT: EMAIL 👉[email protected] MENTORSHIP 👉 www.trendtrading.academy INSTAGRAM: JayTakeProfits 👉 https://www.instagram.com/jaytakeprofits/ (... For more information on Enigma Strategies platform please see here: https://www.enigmastrategy.com/enigma-platform This video shows how simple it is to analyse a Forex chart, with a USDJPY example we execute a top down analysis using strictly tools and price action. This ... Market profile was brought to general public by Peter Steidlmayer in 1980s, first it was used mostly for trading futures on stock indices. The main difference between conventional charts and ...

http://binary-optiontrade.progunrisdenerip.tk