Top 10 BEST Forex Trading Strategies PDF

Everything You Always Wanted To Know About Swaps* (*But Were Afraid To Ask)

Hello, dummies
It's your old pal, Fuzzy.
As I'm sure you've all noticed, a lot of the stuff that gets posted here is - to put it delicately - fucking ridiculous. More backwards-ass shit gets posted to wallstreetbets than you'd see on a Westboro Baptist community message board. I mean, I had a look at the daily thread yesterday and..... yeesh. I know, I know. We all make like the divine Laura Dern circa 1992 on the daily and stick our hands deep into this steaming heap of shit to find the nuggets of valuable and/or hilarious information within (thanks for reading, BTW). I agree. I love it just the way it is too. That's what makes WSB great.
What I'm getting at is that a lot of the stuff that gets posted here - notwithstanding it being funny or interesting - is just... wrong. Like, fucking your cousin wrong. And to be clear, I mean the fucking your *first* cousin kinda wrong, before my Southerners in the back get all het up (simmer down, Billy Ray - I know Mabel's twice removed on your grand-sister's side). Truly, I try to let it slide. I do my bit to try and put you on the right path. Most of the time, I sleep easy no matter how badly I've seen someone explain what a bank liquidity crisis is. But out of all of those tens of thousands of misguided, autistic attempts at understanding the world of high finance, one thing gets so consistently - so *emphatically* - fucked up and misunderstood by you retards that last night I felt obligated at the end of a long work day to pull together this edition of Finance with Fuzzy just for you. It's so serious I'm not even going to make a u/pokimane gag. Have you guessed what it is yet? Here's a clue. It's in the title of the post.
That's right, friends. Today in the neighborhood we're going to talk all about hedging in financial markets - spots, swaps, collars, forwards, CDS, synthetic CDOs, all that fun shit. Don't worry; I'm going to explain what all the scary words mean and how they impact your OTM RH positions along the way.
We're going to break it down like this. (1) "What's a hedge, Fuzzy?" (2) Common Hedging Strategies and (3) All About ISDAs and Credit Default Swaps.
Before we begin. For the nerds and JV traders in the back (and anyone else who needs to hear this up front) - I am simplifying these descriptions for the purposes of this post. I am also obviously not going to try and cover every exotic form of hedge under the sun or give a detailed summation of what caused the financial crisis. If you are interested in something specific ask a question, but don't try and impress me with your Investopedia skills or technical points I didn't cover; I will just be forced to flex my years of IRL experience on you in the comments and you'll look like a big dummy.
TL;DR? Fuck you. There is no TL;DR. You've come this far already. What's a few more paragraphs? Put down the Cheetos and try to concentrate for the next 5-7 minutes. You'll learn something, and I promise I'll be gentle.
Ready? Let's get started.
1. The Tao of Risk: Hedging as a Way of Life
The simplest way to characterize what a hedge 'is' is to imagine every action having a binary outcome. One is bad, one is good. Red lines, green lines; uppie, downie. With me so far? Good. A 'hedge' is simply the employment of a strategy to mitigate the effect of your action having the wrong binary outcome. You wanted X, but you got Z! Frowny face. A hedge strategy introduces a third outcome. If you hedged against the possibility of Z happening, then you can wind up with Y instead. Not as good as X, but not as bad as Z. The technical definition I like to give my idiot juniors is as follows:
Utilization of a defensive strategy to mitigate risk, at a fraction of the cost to capital of the risk itself.
Congratulations. You just finished Hedging 101. "But Fuzzy, that's easy! I just sold a naked call against my 95% OTM put! I'm adequately hedged!". Spoiler alert: you're not (although good work on executing a collar, which I describe below). What I'm talking about here is what would be referred to as a 'perfect hedge'; a binary outcome where downside is totally mitigated by a risk management strategy. That's not how it works IRL. Pay attention; this is the tricky part.
You can't take a single position and conclude that you're adequately hedged because risks are fluid, not static. So you need to constantly adjust your position in order to maximize the value of the hedge and insure your position. You also need to consider exposure to more than one category of risk. There are micro (specific exposure) risks, and macro (trend exposure) risks, and both need to factor into the hedge calculus.
That's why, in the real world, the value of hedging depends entirely on the design of the hedging strategy itself. Here, when we say "value" of the hedge, we're not talking about cash money - we're talking about the intrinsic value of the hedge relative to the the risk profile of your underlying exposure. To achieve this, people hedge dynamically. In wallstreetbets terms, this means that as the value of your position changes, you need to change your hedges too. The idea is to efficiently and continuously distribute and rebalance risk across different states and periods, taking value from states in which the marginal cost of the hedge is low and putting it back into states where marginal cost of the hedge is high, until the shadow value of your underlying exposure is equalized across your positions. The punchline, I guess, is that one static position is a hedge in the same way that the finger paintings you make for your wife's boyfriend are art - it's technically correct, but you're only playing yourself by believing it.
Anyway. Obviously doing this as a small potatoes trader is hard but it's worth taking into account. Enough basic shit. So how does this work in markets?
2. A Hedging Taxonomy
The best place to start here is a practical question. What does a business need to hedge against? Think about the specific risk that an individual business faces. These are legion, so I'm just going to list a few of the key ones that apply to most corporates. (1) You have commodity risk for the shit you buy or the shit you use. (2) You have currency risk for the money you borrow. (3) You have rate risk on the debt you carry. (4) You have offtake risk for the shit you sell. Complicated, right? To help address the many and varied ways that shit can go wrong in a sophisticated market, smart operators like yours truly have devised a whole bundle of different instruments which can help you manage the risk. I might write about some of the more complicated ones in a later post if people are interested (CDO/CLOs, strip/stack hedges and bond swaps with option toggles come to mind) but let's stick to the basics for now.
(i) Swaps
A swap is one of the most common forms of hedge instrument, and they're used by pretty much everyone that can afford them. The language is complicated but the concept isn't, so pay attention and you'll be fine. This is the most important part of this section so it'll be the longest one.
Swaps are derivative contracts with two counterparties (before you ask, you can't trade 'em on an exchange - they're OTC instruments only). They're used to exchange one cash flow for another cash flow of equal expected value; doing this allows you to take speculative positions on certain financial prices or to alter the cash flows of existing assets or liabilities within a business. "Wait, Fuzz; slow down! What do you mean sets of cash flows?". Fear not, little autist. Ol' Fuzz has you covered.
The cash flows I'm talking about are referred to in swap-land as 'legs'. One leg is fixed - a set payment that's the same every time it gets paid - and the other is variable - it fluctuates (typically indexed off the price of the underlying risk that you are speculating on / protecting against). You set it up at the start so that they're notionally equal and the two legs net off; so at open, the swap is a zero NPV instrument. Here's where the fun starts. If the price that you based the variable leg of the swap on changes, the value of the swap will shift; the party on the wrong side of the move ponies up via the variable payment. It's a zero sum game.
I'll give you an example using the most vanilla swap around; an interest rate trade. Here's how it works. You borrow money from a bank, and they charge you a rate of interest. You lock the rate up front, because you're smart like that. But then - quelle surprise! - the rate gets better after you borrow. Now you're bagholding to the tune of, I don't know, 5 bps. Doesn't sound like much but on a billion dollar loan that's a lot of money (a classic example of the kind of 'small, deep hole' that's terrible for profits). Now, if you had a swap contract on the rate before you entered the trade, you're set; if the rate goes down, you get a payment under the swap. If it goes up, whatever payment you're making to the bank is netted off by the fact that you're borrowing at a sub-market rate. Win-win! Or, at least, Lose Less / Lose Less. That's the name of the game in hedging.
There are many different kinds of swaps, some of which are pretty exotic; but they're all different variations on the same theme. If your business has exposure to something which fluctuates in price, you trade swaps to hedge against the fluctuation. The valuation of swaps is also super interesting but I guarantee you that 99% of you won't understand it so I'm not going to try and explain it here although I encourage you to google it if you're interested.
Because they're OTC, none of them are filed publicly. Someeeeeetimes you see an ISDA (dsicussed below) but the confirms themselves (the individual swaps) are not filed. You can usually read about the hedging strategy in a 10-K, though. For what it's worth, most modern credit agreements ban speculative hedging. Top tip: This is occasionally something worth checking in credit agreements when you invest in businesses that are debt issuers - being able to do this increases the risk profile significantly and is particularly important in times of economic volatility (ctrl+f "non-speculative" in the credit agreement to be sure).
(ii) Forwards
A forward is a contract made today for the future delivery of an asset at a pre-agreed price. That's it. "But Fuzzy! That sounds just like a futures contract!". I know. Confusing, right? Just like a futures trade, forwards are generally used in commodity or forex land to protect against price fluctuations. The differences between forwards and futures are small but significant. I'm not going to go into super boring detail because I don't think many of you are commodities traders but it is still an important thing to understand even if you're just an RH jockey, so stick with me.
Just like swaps, forwards are OTC contracts - they're not publicly traded. This is distinct from futures, which are traded on exchanges (see The Ballad Of Big Dick Vick for some more color on this). In a forward, no money changes hands until the maturity date of the contract when delivery and receipt are carried out; price and quantity are locked in from day 1. As you now know having read about BDV, futures are marked to market daily, and normally people close them out with synthetic settlement using an inverse position. They're also liquid, and that makes them easier to unwind or close out in case shit goes sideways.
People use forwards when they absolutely have to get rid of the thing they made (or take delivery of the thing they need). If you're a miner, or a farmer, you use this shit to make sure that at the end of the production cycle, you can get rid of the shit you made (and you won't get fucked by someone taking cash settlement over delivery). If you're a buyer, you use them to guarantee that you'll get whatever the shit is that you'll need at a price agreed in advance. Because they're OTC, you can also exactly tailor them to the requirements of your particular circumstances.
These contracts are incredibly byzantine (and there are even crazier synthetic forwards you can see in money markets for the true degenerate fund managers). In my experience, only Texan oilfield magnates, commodities traders, and the weirdo forex crowd fuck with them. I (i) do not own a 10 gallon hat or a novelty size belt buckle (ii) do not wake up in the middle of the night freaking out about the price of pork fat and (iii) love greenbacks too much to care about other countries' monopoly money, so I don't fuck with them.
(iii) Collars
No, not the kind your wife is encouraging you to wear try out to 'spice things up' in the bedroom during quarantine. Collars are actually the hedging strategy most applicable to WSB. Collars deal with options! Hooray!
To execute a basic collar (also called a wrapper by tea-drinking Brits and people from the Antipodes), you buy an out of the money put while simultaneously writing a covered call on the same equity. The put protects your position against price drops and writing the call produces income that offsets the put premium. Doing this limits your tendies (you can only profit up to the strike price of the call) but also writes down your risk. If you screen large volume trades with a VOL/OI of more than 3 or 4x (and they're not bullshit biotech stocks), you can sometimes see these being constructed in real time as hedge funds protect themselves on their shorts.
(3) All About ISDAs, CDS and Synthetic CDOs
You may have heard about the mythical ISDA. Much like an indenture (discussed in my post on $F), it's a magic legal machine that lets you build swaps via trade confirms with a willing counterparty. They are very complicated legal documents and you need to be a true expert to fuck with them. Fortunately, I am, so I do. They're made of two parts; a Master (which is a form agreement that's always the same) and a Schedule (which amends the Master to include your specific terms). They are also the engine behind just about every major credit crunch of the last 10+ years.
First - a brief explainer. An ISDA is a not in and of itself a hedge - it's an umbrella contract that governs the terms of your swaps, which you use to construct your hedge position. You can trade commodities, forex, rates, whatever, all under the same ISDA.
Let me explain. Remember when we talked about swaps? Right. So. You can trade swaps on just about anything. In the late 90s and early 2000s, people had the smart idea of using other people's debt and or credit ratings as the variable leg of swap documentation. These are called credit default swaps. I was actually starting out at a bank during this time and, I gotta tell you, the only thing I can compare people's enthusiasm for this shit to was that moment in your early teens when you discover jerking off. Except, unlike your bathroom bound shame sessions to Mom's Sears catalogue, every single person you know felt that way too; and they're all doing it at once. It was a fiscal circlejerk of epic proportions, and the financial crisis was the inevitable bukkake finish. WSB autism is absolutely no comparison for the enthusiasm people had during this time for lighting each other's money on fire.
Here's how it works. You pick a company. Any company. Maybe even your own! And then you write a swap. In the swap, you define "Credit Event" with respect to that company's debt as the variable leg . And you write in... whatever you want. A ratings downgrade, default under the docs, failure to meet a leverage ratio or FCCR for a certain testing period... whatever. Now, this started out as a hedge position, just like we discussed above. The purest of intentions, of course. But then people realized - if bad shit happens, you make money. And banks... don't like calling in loans or forcing bankruptcies. Can you smell what the moral hazard is cooking?
Enter synthetic CDOs. CDOs are basically pools of asset backed securities that invest in debt (loans or bonds). They've been around for a minute but they got famous in the 2000s because a shitload of them containing subprime mortgage debt went belly up in 2008. This got a lot of publicity because a lot of sad looking rednecks got foreclosed on and were interviewed on CNBC. "OH!", the people cried. "Look at those big bad bankers buying up subprime loans! They caused this!". Wrong answer, America. The debt wasn't the problem. What a lot of people don't realize is that the real meat of the problem was not in regular way CDOs investing in bundles of shit mortgage debts in synthetic CDOs investing in CDS predicated on that debt. They're synthetic because they don't have a stake in the actual underlying debt; just the instruments riding on the coattails. The reason these are so popular (and remain so) is that smart structured attorneys and bankers like your faithful correspondent realized that an even more profitable and efficient way of building high yield products with limited downside was investing in instruments that profit from failure of debt and in instruments that rely on that debt and then hedging that exposure with other CDS instruments in paired trades, and on and on up the chain. The problem with doing this was that everyone wound up exposed to everybody else's books as a result, and when one went tits up, everybody did. Hence, recession, Basel III, etc. Thanks, Obama.
Heavy investment in CDS can also have a warping effect on the price of debt (something else that happened during the pre-financial crisis years and is starting to happen again now). This happens in three different ways. (1) Investors who previously were long on the debt hedge their position by selling CDS protection on the underlying, putting downward pressure on the debt price. (2) Investors who previously shorted the debt switch to buying CDS protection because the relatively illiquid debt (partic. when its a bond) trades at a discount below par compared to the CDS. The resulting reduction in short selling puts upward pressure on the bond price. (3) The delta in price and actual value of the debt tempts some investors to become NBTs (neg basis traders) who long the debt and purchase CDS protection. If traders can't take leverage, nothing happens to the price of the debt. If basis traders can take leverage (which is nearly always the case because they're holding a hedged position), they can push up or depress the debt price, goosing swap premiums etc. Anyway. Enough technical details.
I could keep going. This is a fascinating topic that is very poorly understood and explained, mainly because the people that caused it all still work on the street and use the same tactics today (it's also terribly taught at business schools because none of the teachers were actually around to see how this played out live). But it relates to the topic of today's lesson, so I thought I'd include it here.
Work depending, I'll be back next week with a covenant breakdown. Most upvoted ticker gets the post.
*EDIT 1\* In a total blowout, $PLAY won. So it's D&B time next week. Post will drop Monday at market open.
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The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

Author: Christian Hsieh, CEO of Tokenomy
This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets.
The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1.
However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.

Demand for U.S. Dollars

Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4.

https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6

https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f
This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate.

https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69
Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions.

Source: Bloomberg
Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.

The Rise of Crypto Dollars

Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13.

https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1
An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.

Institutional Developments

In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero.
J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications.
Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19.

https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0
These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.

Future Opportunities

There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation. Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry.
There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish.
In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world.
Thank you.

Reference:
[1] How the US dollar became the world’s reserve currency, Investopedia
[2] The dollar is in high demand, prone to dangerous appreciation, The Economist
[3] Dollar dominance in trade and finance, Gita Gopinath
[4] Global trades dependence on dollars, The Economist & IMF working papers
[5] Total credit to non-bank borrowers by currency of denomination, BIS
[6] Biggest stock exchanges in the world, Business Insider
[7] McKinsey Global Private Market Review 2020, McKinsey & Company
[8] Central banks current interest rates, Global Rates
[9] Venezuela hyperinflation hits 10 million percent, CNBC
[10] Lebanon inflation crisis, Reuters
[11] Venezuela cryptocurrency market, Chainalysis
[12] The most used cryptocurrency isn’t Bitcoin, Bloomberg
[13] Trading volume of all crypto assets, coinmarketcap.com
[14] Tether US dollar peg is no longer credible, Forbes
[15] New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk
[16] Remittance Price Worldwide, The World Bank
[17] Interbank Information Network, J.P. Morgan
[18] Jamie Dimon interview, CBS News
[19] Rise of the central bank digital currency, BIS
[20] Speech by Andrew Bailey, 3 September 2020, Bank of England
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Immediate Aftermath : The more data we collect and analyze, the clearer the picture becomes.

This is the updated first part of the list that has recorded the notable events as the world deals with the COVID-19 pandemic. [2nd Part] ― The LINKS to events and sources are placed throughout the timeline.
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The More Data We Collect and Analyze, the Clearer the Picture Becomes.
Someone threw a stone in a pond a long way away. And we're only just feeling the ripples. — Fukuhara from Giri/Haji, Netflix series
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On Jan 30, Italian PM announced that Italy had blocked all flights to and from China. While Italy has banned people from air-travelling to China, however according to IATA data, there's no measurement implemented for air-travellers from China into Italy till the Mar 07. Especially for Chinese people who have EU passports.
On Jan 31, the US announced the category-I travel restrictions, barring all foreigners who have been in China for the past 14 days, with measures including the refusal of visas and mandatory quarantine.
• "Because the US focused on China and didn't expect the infected people's entry from Europe and the Middle East, the Maginot Line was breached from behind. And so little of credible data at the beginning made the US government to miscalculate its strategic response to the virus." — Dr. Zhang Lun, currently a visiting scholar at Harvard (economics & sociology), during the interview with ICPC on Mar 29.
Also on Jan 31, the WHO changed its tune and declared the coronavirus outbreak a Global Public Health Emergency of international concern (PHEIC).
Decisions on a PHEIC always involve politics .... West African countries discouraged a declaration in 2014 after they were hit by the largest Ebola virus outbreak on record, mainly because of concern about the economic impact.
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On Feb 02, regarding the US category-I travel restrictions, Kamala Harris, the former Democratic presidential candidate, declared on Twitter:
Since 2017, Trump’s travel bans have never been rooted in national security—they’re about discriminating against people of color. They are, without a doubt, rooted in anti-immigrant, white supremacist ideologies. This travel ban is no different.
On Feb 03, criticizing Trump for his travel restrictions continues. Chinese foreign ministry spokeswoman Hua Chunying (华春莹), a Peking University professors James Liang (梁建章), New York Times, the Nation, OBSERVER, the Boston Globe, Yahoo, and Daily Kos were saying,
it's a "panicky" decision and "racist" or it's "cruel and callous," he's stoking fear for political gains, and the president is "inappropriately overreacting." And professors Liang even said the US ban "will hurt goodwill and cooperation [with China] in the future." [1] [2] [3] [4] [5] [6] [7] [8] [9]
Also on Feb 03, Mr. Tedros of the WHO said there's no need for travel ban measure that "unnecessarily interfere with international travel and trade" trying to halt the spread of the virus.
China's delegate took the floor ... and denounced measures by "some countries" that have denied entry to people holding passports issued in Hubei province - at the centre of the outbreak - and to deny visas and cancel flights.
Also on Feb 03, China is expected to gradually implement a larger stimulus packages (in total) than a USD $572 billion from 2008. — We'd never find out but my guess is that the fund will probably go to Shanghai clique.
On Feb 04, The FDA has given emergency authorization to a new test kit by the CDC that promises to help public health labs meet a potential surge in cases.
The speed ... pushing through a new diagnostic test shows just how seriously they’re taking the potentially pandemic threat of 2019-nCoV. It’s also a sign that the world is starting to learn how to deal with an onslaught of new pathogens.
Also on Feb 04, the Wuhan Institute of Virology and China's Academy of Military Medical Sciences (AMMS, Chief Chen Wei belongs to) have jointly applied to patent the use of Remdesivir. Scientists from both institutes said in a paper published in Nature’s Cell Research that they found both Remdesivir and Chloroquine to be an effective way to inhibit the coronavirus.
On Feb 06, Jamestown Foundation, a Washington-based research & analysis unit, noted that with State Council of PRC praising his performance of containing the pandemic situation, the council expanded Li Keqiang's political control over Politburo Standing Committee of CCP. (Li Keqiang = Communist Youth League = Shanghai clique)
Also, on Feb 06, as the US evacuation planes leave China, the wave of the US evacuees have arrived who are met by the CDC personnel at the quarantine sites for screening, and those who were suspected of infection will be placed under quarantine for 14 days.
Also, on Feb 06, a CDC-developed lab test kit to detect the new coronavirus began shipping to qualified US laboratories and international ones. — However, on Feb 12, the CDC said some of the testing kits have flaws and do not work properly. The CDC finally ended up shipping the working test kits for mass testings on Feb 27. This was three weeks later than originally planned.
On Feb 07, China National Petroleum has recently declared Force Majeure on gas imports. They are trying to create a breathing room for their foreign exchange reserves shortage. China's foreign exchange reserves fell to mere USD $3.1 trillion in Oct. 2019.
On the same day, Bloomberg reported that PetroChina has directed employees in 20 countries to buy N95 face masks and send them home in China. The goal is to get 2 million masks shipped back. You can also find YouTube videos that show Overseas Chinese are scouring the masks at the Home Depot to ship them to China (the video in Korean). Also Chris Smith is pissed.
On Feb 09, Trump renews his national emergency on its southern border, and Elizabeth Goitein from the Brennan Center for Justice, published an opinion article on New York Times titled "Trump Has Abused This Power. And He Will Again if He’s Not Stopped."
On Feb 10, Dr. Tedros said that an advance three-person team of the WHO arrived in Beijing for a joint mission to discuss with Chinese officials the agenda and questions. Then, the joint mission of about 10 international experts will soon follow, he said. — Those WHO experts ended up visiting Chinese epicentre for the first time on Feb 24.
On Feb 12, the US targets Russian oil company for helping Venezuela skirt sanctions. The US admin seemingly tried to secure leverage against Russia after noticing something suspicious was up.
On the same day, Trump told Reuters "I hope this outbreak or this event (for the US) may be over in something like April." — Dr. Zhong Nanshan (钟南山), China's top tier SARS-hero doctor, also said "the peak of the virus (for China) should come in mid to late February, followed by a plateau or decrease," adding that his forecast was based on on mathematical modelling and data from recent events and government action.
On Feb 13, Tom Frieden who is a former US CDC chief and currently the head of public health nonprofit Resolve to Save Lives, said:
As countries are trying to develop their own control strategies, they are looking for evidence of whether the situation in China is getting worse or better. [But] We still don't have very basic information. [since the WHO just entered China] We hope that information will be coming out.
On the same day, the CDC reports that the 15th case in the US was confirmed. The patient was a part of group who were under a federal quarantine order at the JBSA-Lackland base because of a recent trip to Hubei Province, China.
By Feb 13, China hasn't accepted the US CDC's offer to send top experts, and they haven't released the "disaggregated" data (specific figures broken out from the overall numbers) even though repeatedly been asked.
On Feb 14, CCP's United Front posted an article on its official website, saying (Eng. text by Google Translation):
Fast! There is no time difference to raise urgently needed materials! Some Overseas Chinese have used their professions in the field of medicine in order to purchase relevant materials Hubei province in short of supply (to send them to China). .... Some Overseas Chinese took advantage of the connection resources, opened green transportation channels through our embassies and consulates abroad, and their related enterprises, and quickly sent large quantities of medical supplies (to China), making this love relay link and cooperation seamless.
On Feb 18, Reuters reports that 3M is on the list of firms eligible for China loans to ease coronavirus crisis.
There is no indication from the list that loans offered will necessarily be sought, or that such firms are in any financial need. The Bank of Shanghai told Reuters it will lend 5.5 billion yuan ($786 million) to 57 firms on its list.
On Feb 21, Xi Jinping writes a thank-you letter to Bill Gates for his foundation’s support to China regarding COVID-19 outbreak.
On Feb 24, China was rumoured on Twitter to delay the phase one trade deal implementation indefinitely which includes the increase of China's purchasing American products & services by at least $200 billion over the next two years.
Also on Feb 24, S&P 500 Index started to drop. Opened with 3225.9 and closed 3128.2. By the Mar 23, it dropped to 2208.9.
Also on Feb 24, China's National Health Commission says the WHO experts have visited Wuhan city for the first time, the locked-down central Chinese city at the epicentre, inspecting two hospitals and a makeshift one at a sports centre.
On Feb 26, IF the picture that has been circulated on Twitter were real, then chief Chen Wei and her team have developed the first batch of COVID-19 vaccine within time frame of a month.
On the same day, the CDC's latest figures displays 59 people in the US who have tested positive for COVID-19.
Also on Feb 26, the Washington Post published an article that says:
.... the WHO said it has repeatedly asked Chinese officials for "disaggregated" data — meaning specific figures broken out from the overall numbers — that could shed light on hospital transmission and help assess the level of risk front-line workers face. "We received disaggregated information at intervals, though not details about health care workers," said Tarik Jasarevic of the WHO. — The comment, in an email on Feb 22 to the Post, was one of the first instances that the WHO had directly addressed shortcomings in China's reporting or handling of the coronavirus crisis.
On Feb 27, after missteps, the CDC says its test kit is ready and the US started to expand testing.
On Feb 28, China transferred more than 80,000 Uighurs to factories used by global brands such as Apple, Nike, & Volkswagen & among others.
Also on Feb 28, the WHO published the official report of the WHO-China joint mission on coronavirus disease 2019. (PDF)
On Feb 29, quoting Caixin media's investigation published on the same day, Lianhe Zaobao, the largest Singapore-based Chinese-language newspaper, published an article reporting the following:
Dr. Li Wenliang said in the interview with Caixin media; [in Dec 2019] another doctor (later turned out to be Dr. Ai Fen) examined and tried to treat a patient who exhibited SARS-like symptoms which akin to influenza resistant to conventional treatment methods. And "the family members who took care of her (the patient) that night also had a fever, and her other daughter also had a fever. This is obviously from person to person" Dr. Li said in the interview."
------------------------
On Mar 01, China's State Council super tighten up their already draconian internet law.
On the same day, Princelings published an propaganda called "A Battle Against Epidemic: China Combating COVID-19 in 2020" which compiles numerous state media accounts on the heroic leadership of Xi Jinping, the vital role of the Communist Party, and the superiority of the Chinese system in fighting the virus.
Starting on Mar 03, the US Fed has taken two significant measures to provide monetary stimulus. It's going to be no use as if a group of people with serious means are manipulating the markets to make sure MM will have liquidity concerns when they need it most.
On Mar 04, Xinhua News, China's official state-run press agency posted an article "Be bold: the world should thank China" which states that
If China retaliates against the US at this time, it will also announce strategic control over medical products, and ban exports of said products to the US. ... If China declares today that its drugs are for domestic use only, the US will fall into the hell of new coronavirus epidemic.
On Mar 05, Shanghai Index has recovered the coronavirus loss almost completely.
On Mar 07, Saudi's Ahmed bin Abdulaziz and Muhammad bin Nayef were arrested on the claims of plotting to overthrow King Salman. — Ahmed bin Abdulaziz is known to have very tight investment-interest relationship with Bill Gates, Bill Browder, Blackstone, & BlackRock: One common factor that connects these people is China.
On Mar 08, the Russia–Saudi oil price war has begun. The ostensible reason was simple: China, the biggest importer of oil from Saudi and Russia, was turning back tankers while claiming that the outbreak forced its economy to a standstill.
On Mar 10, the Washington Post published the article saying that the trade group for manufacturers of personal protective equipment urged in 2009 "immediate action" to restock the national stockpile including N95 masks, but it hasn't been replenished since.
On Mar 11, the gentleman at the WHO declares the coronavirus outbreak a "Global Pandemic." He called on governments to change the course of the outbreak by taking "urgent and aggressive action." This was a full twelve days after the organization published the official report regarding the situation in China.
On Mar 13, the US admin declared a National Emergency and announced the plan to release $50 billion in federal resources amid COVID-19.
Also on Mar 13, China's Ministry of Commerce states that China is now the best region for global investment hedging.
On Mar 15, Business Insider reports that Trump tried to poach German scientists working on a coronavirus vaccine and offered cash so it would be exclusive to the US. The problem is the official CureVac (the German company) twitter account, on Mar 16, 2020, tweeted the following:
To make it clear again on coronavirus: CureVac has not received from the US government or related entities an offer before, during and since the Task Force meeting in the White House on March 2. CureVac rejects all allegations from press.
On Mar 16, the fan club of European globalists has published a piece titled, "China and Coronavirus: From Home-Made Disaster to Global Mega-Opportunity." The piece says:
The Chinese method is the only method that has proved successful [in fighting the virus], is a message spread online in China by influencers, including many essentially promoting propaganda. ... it is certainly a message that seems to be resonating with opinion leaders around the world.
On the same day, unlike China that had one epicentre, Wuhan city, the US now overtakes China with most cases reporting multiple epicentres simultaneously.
Also on Mar 16, the US stocks ended sharply lower with the Dow posting its worst point drop in history. But some showed a faint hint of uncertain hope.
On Mar 17, according to an article on Chinese version of Quora, Zhihu, chief Chen Wei and her team with CanSino Biologics officially initiated a Phase-1 clinical trial for COVID-19 vaccine at the Wuhan lab, Hubei China, which Bloomberg News confirmed. — Click HERE, then set its time period as 1 year, and see when the graph has started to move up.
Also on Mar 17, China's state media, China Global TV Network (CGTN), has produced YouTube videos for Middle Eastern audiences to spread the opinion that the US has engineered COVID-19 events.
Also on Mar 17, Al Jazeera reported that the US President has been criticized for repeatedly referring to the coronavirus as the "Chinese Virus" as critics saying Trump is "fueling bigotry."
• China's Xinhua News tweeted "Racism is not the right tool to cover your own incompetence."
• Tucker Carlson asked: "Why would America's media take China's side amid coronavirus pandemic?"
• Also, Mr. Bill Gates: "We should not call this the Chinese virus."
On Mar 19, for the first time, China reports zero local infections.
Also on Mar 19, Al Jazeera published an analysis report, titled "Coronavirus erodes Trump's re-election prospects."
On Mar 22, Bloomberg reports that China's mobile carriers lost 21 million users during this pandemic event. It's said to be the first net decline since starting to report monthly data in 2000.
On Mar 26, EURACTV reports that China cashes in off coronavirus, selling Spain $466 million in supplies. However, Spain returns 9,000 "quick result" test kits to China, because they were deemed substandard. — Especially the sensibility of the test was around 30 percent, when it should be higher than 80 percent.
------------------------
On Apr 03, Germany and other governments are bolstering corporate defenses to address worries that coronavirus-weakened companies could be easy prey for bargain hunting by China's state owned businesses.
On Apr 05, New York Times says "Trump Again Promotes Use of Unproven Anti-Malaria Drug (hydroxychloroquine)."
On Apr 06, a Democratic State Rep. Karen Whitsett from Detroit credits hydroxychloroquine and President Trump for "saving her in her battle with the coronavirus."
On Apr 07, the US CDC removed the following part from its website.
Although optimal dosing and duration of hydroxychloroquine for treatment of COVID-19 are unknown, some U.S. clinicians have reported anecdotally different hydroxychloroquine dosing such as: 400mg BID on day one, then daily for 5 days; 400 mg BID on day one, then 200mg BID for 4 days; 600 mg BID on day one, then 400mg daily on days 2-5.
------------------------
☞ If there were ever a time for people not to be partisan and tribal, the time has come: We need to be ever vigilant and attentive to all kinds of disinformation & misinformation to see it better as well as to be sharp in our lives. — We really do need to come together.
☞ At first, I was going to draw up a conspiracy theory-oriented list focused on Team-Z, especially Mr. Gates. However, although it's nothing new tbh, recently many chats and discussions seem overflowing with disinformation & misinformation which is, in my opinion, particularly painful at a time like this. Hence, this post became a vanilla list that's just recorded the notable events. — We all are subject to misinformation, miscalculation, and misjudgment. But the clearer the picture becomes the better we can identify Funkspiel.
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Immediate Aftermath pt.2.a
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Feasible Timeline of the Operation
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☞ Go Back to the Short Story.
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submitted by vanillabluesea to conspiracy [link] [comments]

[educational] Technical analysis, patterns, and charts analysis for the day trader

[educational] Technical analysis, patterns, and charts analysis for the day trader
Chart patterns form a key part of day trading. Candlestick and other charts produce frequent signals that cut through price action “noise”.
The best patterns will be those that can form the backbone of a profitable day trading strategy, whether trading stocks, cryptocurrency of forex pairs.
Every day you have to choose between hundreds of trading opportunities. This is a result of a wide range of factors influencing the market. Day trading patterns enable you to decipher the multitude of options and motivations – from hope of gain and fear of loss, to short-covering, stop-loss triggers, hedging, tax consequences and plenty more.
Candlestick patterns help by painting a clear picture, and flagging up trading signals and signs of future price movements. Whilst it’s said you’ll need to use technical analysis to succeed day trading with candlestick and other patterns, it’s important to note utilizing them to your advantage is more of an art form than a rigid science.
You have to learn the power of chart patterns and the theory that governs them in order to identify the best patterns to supplement your trading style and strategies.

Use In Day Trading

Used correctly trading patterns can add a powerful tool to your arsenal. This is because history has a habit of repeating itself and the financial markets are no exception. This repetition can help you identify opportunities and anticipate potential pitfalls.
RSI, volume, plus support and resistance levels all aide your technical analysis when you’re trading. But crypto chart patterns play a crucial role in identifying breakouts and trend reversals. Mastering the art of reading these patterns will help you make smarter trades and bolster your profits, as highlighted in the highly regarded, ‘stock patterns for day trading’, by Barry Rudd.

Breakouts & Reversals

In the patterns and charts below you’ll see two recurring themes, breakouts and reversals.
  • Breakout – A breakout is simply when the price clears a specified critical level on your chart. This level could by any number of things, from a Fibonacci level, to support, resistance or trend lines.
  • Reversal – A reversal is simply a change in direction of a price trend. That change could be either positive or negative against the prevailing trend. You may also hear it called a ‘rally’, ‘correction’, or ‘trend reversal’.

Candlestick Charts

Candlestick charts are a technical tool at your disposal. They consolidate data within given time frames into single bars. Not only are the patterns relatively straightforward to interpret, but trading with candle patterns can help you attain that competitive edge over the rest of the market.
They first originated in the 18th century where they were used by Japanese rice traders. Since Steve Nison introduced them to the West with his 1991 book ‘Japanese Candlestick Charting Techniques’, their popularity has surged.
Below is a break down of three of the most popular candlestick patterns used for day trading.

Shooting Star Candlestick

This is often one of the first you see when you open a chart with candlestick patterns. This bearish reversal candlestick suggests a peak. It is precisely the opposite of a hammer candle. It won’t form until at least three subsequent green candles have materialized. This will indicate an increase in price and demand. Usually, buyers lose their cool and clamber for the price to increasing highs before they realize they’ve overpaid.
The upper shadow is usually twice the size of the body. This tells you the last frantic buyers have entered trading just as those that have turned a profit have off-loaded their positions. Short-sellers then usually force the price down to the close of the candle either near or below the open. This traps the late arrivals who pushed the price high. Panic often kicks in at this point as those late arrivals swiftly exit their positions.

https://preview.redd.it/gf5dwjhbrdh31.png?width=300&format=png&auto=webp&s=437ff856bfd6ebc95da34528462ba224d964f01f

Doji Candlestick

One of the most popular candlestick patterns for trading forex is the doji candlestick (doji signifies indecision). This reversal pattern is either bearish or bullish depending on the previous candles. It will have nearly, or the same open and closing price with long shadows. It may look like a cross, but it can have an extremely small body. You will often get an indicator as to which way the reversal will head from the previous candles.
If you see previous candles are bullish, you can anticipate the next one near the underneath of the body low will trigger a short/sell signal when the doji lows break. You’ll then see trail stops above the doji highs.
Alternatively, if the previous candles are bearish then the doji will probably form a bullish reversal. Above the candlestick high, long triggers usually form with a trail stop directly under the doji low.
These candlestick patterns could be used for intraday trading with forex, stocks, cryptocurrencies and any number of other assets. But using candlestick patterns for trading interpretations requires experience, so practice on a demo account before you put real money on the line.

https://preview.redd.it/4yo650lcrdh31.png?width=300&format=png&auto=webp&s=b2aa3cdeef23e44e1e3e3047bbe2604fce0a4768

Hammer Candlestick

This is a bullish reversal candlestick. You can use this candlestick to establish capitulation bottoms. These are then normally followed by a price bump, allowing you to enter a long position.
The hammer candlestick forms at the end of a downtrend and suggests a near-term price bottom. The lower shadow is made by a new low in the downtrend pattern that then closes back near the open. The tail (lower shadow), must be a minimum of twice the size of the actual body.
The tails are those that stopped out as shorts started to cover their positions and those looking for a bargain decided to feast. Volume can also help hammer home the candle. To be certain it is a hammer candle, check where the next candle closes. It must close above the hammer candle low.
Trading with Japanese candlestick patterns has become increasingly popular in recent decades, as a result of the easy to glean and detailed information they provide. This makes them ideal for charts for beginners to get familiar with.

https://preview.redd.it/7snzz8qdrdh31.png?width=300&format=png&auto=webp&s=f83ff82f0980dd30c33bc6886ae7e7ed3a98b72f

More Popular Day Trading Patterns

Using Price Action

Many strategies using simple price action patterns are mistakenly thought to be too basic to yield significant profits. Yet price action strategies are often straightforward to employ and effective, making them ideal for both beginners and experienced traders.
Put simply, price action is how the price is likely to respond at certain levels of resistance or support. Using price action patterns from pdfs and charts will help you identify both swings and trendlines.
Whether you’re day trading stocks or forex or crypto with price patterns, these easy to follow strategies can be applied across the board.

Zone Strategy

So, how do you start day trading with short-term price patterns? you will likely employ a ‘zone strategy’. One obvious bonus to this system is it creates straightforward charts, free from complex indicators and distractions.

https://preview.redd.it/7e5x37zerdh31.png?width=300&format=png&auto=webp&s=2098a4c9df4a4556c3024cec1c176ce50c9806c0

Dead Zone

This empty zone tells you that the price action isn’t headed anywhere. There is no clear up or down trend, the market is at a standoff. If you want big profits, avoid the dead zone completely. No indicator will help you makes thousands of pips here.

The Red Zone

This is where things start to get a little interesting. Once you’re in the red zone the end goal is in sight, and that one hundred pip winner within reach. For example, if the price hits the red zone and continues to the upside, you might want to make a buy trade. It could be giving you higher highs and an indication that it will become an uptrend.
This will be likely when the sellers take hold. If the price hits the red zone and continues to the downside, a sell trade may be on the cards. You’d have new lower lows and a suggestion that it will become a downtrend.

The End Zone

This is where the magic happens. With this strategy, you want to consistently get from the red zone to the end zone. Draw rectangles on your charts like the ones found in the example. Then only trade the zones. If you draw the red zones anywhere from 10-20 pips wide, you’ll have room for the price action to do its usual retracement before heading to the downside or upside.

Outside Bar At Resistance Or Support

You’ll see a bullish outside bar if today’s low exceeded yesterdays, but the stock still rallies and closes above yesterday’s high. If the complete opposite price action took place, you’d have yourself the perfect bearish example.
Unfortunately, it isn’t as straightforward as identifying an outside candlestick and then just placing a trade. It’s prudent to find an outside day after a major break of a trend.

https://preview.redd.it/egb0lp6grdh31.png?width=300&format=png&auto=webp&s=b0170eceea5006464e5832bc3a9083c72ee677ad

Spring At Support

The spring is when the stock tests the low of a range, but then swiftly comes back into trading zone and sets off a new trend. One common mistake traders make is waiting for the last swing low to be reached. However, as you’ve probably realized already, trading setups don’t usually meet your precise requirements so don’t stress about a few pennies.

https://preview.redd.it/q82lap2hrdh31.png?width=300&format=png&auto=webp&s=9e40f0bc25c2df06a1d93edb68b293c858a32592

Little To No Price Retracement

Put simply, less retracement is proof the primary trend is robust and probably going to continue. Forget about coughing up on the numerous Fibonacci retracement levels. The main thing to remember is that you want the retracement to be less than 38.2%. This means even when today’s asset tests the previous swing, you’ll have a greater chance that the breakout will either hold or continue towards the direction of the primary trend.

https://preview.redd.it/ey997b2irdh31.png?width=300&format=png&auto=webp&s=c938aac51e3b3bbf1f45a11c46f4ae3dfd1b6dd4
Trading with price patterns to hand enables you to try any of these strategies. Find the one that fits in with your individual trading style. Remember, you’ll often find the best trading chart patterns aren’t overly complex, instead they paint a clear picture using minimal indicators, reducing the likelihood of mistakes and distraction.

Consider Time Frames

When you start trading with your short term price patterns pdf to hand, it’s essential you also consider time frames in your calculations. In your market, you’ll find a number of time frames simultaneously co-existing. This means you can find conflicting trends within the particular asset your trading. Your stock could be in a primary downtrend whilst also being in an intermediate short-term uptrend.
Many traders make the mistake of focusing on a specific time frame and ignoring the underlying influential primary trend. Usually, the longer the time frame the more reliable the signals. When you reduce your time frames you’ll be distracted by false moves and noise.
Many traders download examples of short-term price patterns but overlook the underlying primary trend, do not make this mistake. You should trade-off 15-minute charts, but utilize 60-minute charts to define the primary trend and 5-minute charts to establish the short-term trend.

Wrapping Up

Our understanding of chart patterns has come along way since the initial 1932 work of Richard Schabacker in ‘Technical Analysis and Stock Market Profits’. Schabacker asserted then, ‘any general stock chart is a combination of countless different patterns and its accurate analysis depends upon constant study, long experience and knowledge of all the fine points, both technical and fundamental…’ So whilst there is an abundance of patterns out there, remember accurate analysis and sustained practice is required to fully reap their benefits.

The source : https://www.daytrading.com/patterns
submitted by JalelTounsi to ethfinance [link] [comments]

FAQ ー Telcoin

FAQ ー Telcoin

FAQ | White Paper

https://preview.redd.it/m3ryzxz5cts11.jpg?width=5000&format=pjpg&auto=webp&s=28e45d995ae9eb85ae9e3800f12e1986cc8e098f
What is Telcoin?
Telcoin is a new currency distributed and accepted by mobile operators, aiming to facilitate financial inclusion via payments, remittances, credit, and various financial services on the blockchain.
How does Telcoin work?
Mobile money subscribers will have the ability to buy/sell/send Telcoin to other mobile wallets using their mobile operators as an intermediary. Telcoin will be distributing a predetermined number of tokens to telecom partners, based on their level of adoption (see Issuance Model in the whitepaper).
How does one acquire Telcoin?
Telcoin ICO is over and can be acquired by purchasing on exchanges or from your mobile operator (Q1 2019). Please refer to Coinmarketcap to view which exchanged Telcoin is currently listed on.
What value does Telcoin provide?
Financial Inclusion - providing a way for unbanked/underbanked mobile users to send/receive money instantly across the globe.
Reduced Rates - when subscribers purchase/sell Telcoin to/from mobile money, Telcoin will only charge a fee for the conversion of Telcoin to mobile money.
No bank? No Problem! - Subscribers do not need a bank account in order to buy/sell/send Telcoin as all transactions are done through their respective telecom service. All that is needed is a mobile wallet and a mobile provider subscription.
Why partner with Telecoms?
Telecoms are integral to our entire strategy of promoting financial inclusion. They alleviate the key points of friction that have plagued other regular cryptocurrencies: Trust, Reach, and KYC.
How are they chosen?
We carefully screen each telecom we choose to partner with and focus on its number of subscribers, geographical region, security, credibility, and more.
Will telecoms use their own wallet?
Telcoin will be partnering with leading wallet providers to be used by Telcoin holders. If telecoms already have their own wallet and want to offer Telcoin, we will work with them to integrate it into their current offering.
How will the coins be distributed to telecoms?
Telcoin has created an issuance model to support the adoption, promotion, and integrity of our token and distribution will depend on stages of Telcoin integration. Half of all Telcoin supply will be set aside for mobile network issuance at a linear rate of 5% annually based on the following model:
Connect with Telcoin (10%)
Validate network size (10%)
Telcoin exchange volume (50%)
Compliance maturity (30%)
How will you demonstrate proof of concept (POC)?
We will incentivize operations to integrate with Telcoin in a staged manner starting with a POC trial agreement. These include:
Exchange Demonstration: Conversion to and from Telcoin and partner mobile money
Remittance Demonstration: Remittance to/from up to four (4) foreign mobile networks
Roaming Demonstration: inbound and/or outbound roaming payment with four (4) partners
In connection with the preparation of the POC, Telcoin shall conduct a survey of regulatory feasibility for Exchange Capability in the Partner’s market. In doing so the partner will provide Telcoin with reasonable assistance in connection with interactions with any Regulatory Authorities;
With that, Telcoin and partners will cooperate in exploring the business case for providing Exchange Capability to the Partner’s subscribers, in accordance with any requirements stipulated by Regulatory Authorities.
How will you regulate their use of Telcoin?
Established agreements between Telcoin and telecoms will ensure that there are no irregularities in their use of Telcoin, and will also ensure proper liquidity and regulatory compliance. Telcoin’s held by partner operators will be an asset of the company itself - technically a Telcoin wallet that belongs to the operator but is managed by Telcoin. Therefore, we will have complete transparency in Telcoin usage and issuance.
Can existing mobile operators infrastructure handle this new technology?
Telcoin will be primarily responsible for the integration and oversight of the Telcoin API that partner operators will use. We will do all of due diligence during our POC stage in order to identify any incompatibilities before tokens are distributed.
Who will monitor compliance on both the Telcoin and the telecom sides?
As for regulations, we will be hiring compliance officers to make sure that, as we traverse regions, Telcoin is compliant with local regulations. On the telecom side, we will be monitoring the supply/demand/security via our Telcoin API and other complementary software that will provide us with real time oversight.
What if the telecoms decide to just sell all their Telcoin on an exchange?
Albeit being theoretically possible, we feel that this would not be the case with the partnerships that we will establish. As per our stipulations, if a telecom were to dump their coins, we would restrict their supply by 50%.
How will you ensure that telecoms maintain a healthy level of liquidity?
Using our issuance model we believe that the liquidity pressure should be alleviated as telecoms should have enough Telcoin in their own wallet to be able to buy and sell to their subscribers, especially when early adopters will receive an outsized share of initial issuance.
Is Telcoin a Security?
Telcoin is NOT a security! Our token is a cryptocurrency and is meant to be used as another currency by the end user. Telcoin is not meant to be used as any sort of investment. We are simply providing a currency to telecoms and will not generate profits though the activity of its issuing company. We are fully compliant and we are not considered a security based on the Securities Exchange Act 1934 (US).
How many Telcoins will be issued?
Total Volume: 100,000,000,000
Isn't speculation and volatility a problem for Telcoin?
As it is with any cryptocurrency. With Telcoin however, the user will not be encumbered by the volatility as we do not require users to hold Telcoin at all times. Moreover, they can also change their tokens to mobile money instantly when they choose. We will also offer risk mitigating financial products at an additional fee (currency spot forward contracts).
How will you mitigate the risk of currency fluctuations along remittance corridors?
We will analyze each corridor and then perform basic forex hedging to mitigate the fiat currency exchange risk.
How will Telcoin deal with potential liquidity issues?
Liquidity management is a broad topic that can’t be entirely addressed in a FAQ answer. Our advisor Chris Suh helped us setup a proper treasury management strategy for us to make sure our model works. Telcoin will set aside 5% of supply as a liquidity fund to be available for sale to telecoms with demand for Telcoin that exceeds their issuance supply.
How will you prevent larger current incumbents from copying your idea?
In the long run, there is never any certainty that larger established organizations couldn’t. But, given our first mover advantage, our team’s deep experience in the telecom space, and intimate knowledge/relationships with the telecoms, we feel that the barriers to entry for current incumbents would prevent then from entering quickly.
How do remittances work?
It takes a while to explain, but here's a video :D
What is mobile money?
Mobile Money is an electronic wallet service that lets users store, send, receive and make payments using local currency money via their mobile device. Mobile money can be sent using smartphone apps or USSD on feature phones ("#123..."). Mobile money essentially amounts to a limited-use bank account that is tied to a mobile phone user's phone number, administered by their mobile operator, and typically backed by a local bank.
What is a mobile wallet and do I have control over it?
Of course you do, it’s yours! A mobile wallet is simply a secure wallet on your phone that is used in place of cash/plastic in a traditional tangible wallet to purchase everyday goods/services.
How difficult is it to make a Telcoin remittance?
Making a Telcoin remittance is super easy, just as any remittance should be! You can send your Telcoin to another mobile wallet quickly and easily using our provided wallet and our telcoin API’s. All you have to do is convert the Telcoin to mobile money (fiat, prepaid or postpaid balance too) and you’re done! Once received, the Telcoin can be converted into mobile money (fiat, prepaid or postpaid balance).
How much will the transaction fee be?
Telcoin charges a 0.5% transaction fee for conversions between Telcoin and mobile money.
Can I mine Telcoin?
No. According to our issuance model, all coins are mined at the beginning and distributed over time.
What happens if my phone is stolen with my mobile wallet on it?
Your default mobile wallet will be a two out of three multi-signature wallet, with keys stored by your telecom operator and by Telcoin. By default, if a suspicious transfer happens, you will have to authenticate in order to obtain another key, which will protect you against stolen or lost phones.
As described in your white paper, what is your “risk mitigating financial products” you offer?
Spot-forward for remittances is an example of a risk-mitigating financial product. Hedging you against the volatility of Telcoin when you’re sending money abroad.
Where should I store my Telcoin?
Telcoin is supported by the following wallets:BRD, Ethos, Nano Ledger S, MyEtherWallet, MyCrypto, IMToken and any other wallet that supports ERC20 tokens.
Will Telcoin ever consider moving TEL off of the Etherum blockchain?
Telcoin will develop a blockchain research and development plan for long term scalability and security.
Why does Telcoin use a private Github repo?
As a company we choose to protect our intellectual property. Although we plan on publishing certain components, Telcoin does not plan on being fully open source. No one will be able to go to github, take our code and replicate our product.
I'd like to learn more. Where can I get help or who do I speak to?
Join our Telegram
submitted by kevin_telcoin to Telcoin [link] [comments]

The XTRD Megathread

What is XTRD?

XTRD is a technology company that are introducing a new infrastructure that would allow banks, hedge funds, and large institutional traders to easily access cryptocurrency markets.
XTRD is launching three separate products in sequential stages to solve the ongoing problems caused by having so many disparate markets. Firstly a unified FIX API followed by XTRD Dark Pools and finally the XTRD Single Point of Access or SPA.
Our goal is to build trading infrastructure in the cyptospace and become one of the first full service shops in the cryptocurrency markets for large traders and funds.

How does XTRD work?

Step 1 - XTRD's universal low latency FIX based API connecting to all crypto exchanges to make it easy for major institutions, hedge funds, and algorithmic traders to access all cryptocurrency markets by coding to just one FIX application - in one format - with which they are already intimately familiar.
This communications bridge will allow large market participants to easily add multi exchange crypto execution to their existing transaction systems, jumpstarting universal crypto trading adoption among the institutional sector.
Step 2 - XTRD will launch XTRD Pro in 2018 - a highly robust, multi-exchange standalone trading platform for active traders. The platform will include, among other features, advanced consolidated order books, hotkey order entry, and custom order types, with 24x7 uptime.
Step 3 - XTRD creates a single unified point of access to aggregate liquidity across exchanges for traders. This aggregation allows traders to clear at the best possible prices while delivering the lowest possible transaction costs as well as atomic swap capability all with just one client-side account.

XTRD - Token Model

Who is XTRD intended for?

XTRD is mainly aimed at major institutions, hedge funds, algorithmic traders who are currently unable to enter the crypto markets.
These firms include companies such as Divisa Capital run by XTRD Advisor Mushegh Tovmasyan.

XTRD Weekly Updates

Upcoming Events

AMA's

Further AMA's will be coming soon!

XTRD In The Media

Resources

More information will be added to this thread as the project develops.
We are currently looking for key community members to assist in building out this thread.
If you are interested please email [[email protected]](mailto:[email protected])
submitted by I3erzurker to XtradeIO [link] [comments]

The XTRD Megathread

What is XTRD?

XTRD is a technology company that are introducing a new infrastructure that would allow banks, hedge funds, and large institutional traders to easily access cryptocurrency markets.
XTRD is launching three separate products in sequential stages to solve the ongoing problems caused by having so many disparate markets. Firstly a unified FIX API followed by XTRD Dark Pools and finally the XTRD Single Point of Access or SPA.
Our goal is to build trading infrastructure in the cyptospace and become one of the first full service shops in the cryptocurrency markets for large traders and funds.

What are the industry issues?

COMPLEX WEB OF EXCHANGES. A combination of differing KYC policies, means of funding, interfaces and APIs results in a fragmented patchwork of liquidity for cryptocurrencies. Trading in an automated fashion with full awareness of best pricing and current liquidity necessitates the opening and use of accounts on multiple exchanges, coding to multiple API’s, following varying funding and withdrawal procedures. Once those hurdles are cleared, market participants must convert fiat currency to BTC or ETH and then forward the ETH on to an exchange that may not accept fiat, necessitating yet another transaction to convert back to fiat. Major concerns for market participants range from unmitigated slippage and counterparty risk to hacking prevention and liquidity.
HIGH FEES. Execution costs are even more of a factor. Typical exchange commissions are in the 0.1% – 0.25% range per transaction (10 to 25 basis points), but the effective fees are much higher when taking into bid and ask spreads maintained by the exchanges. As most exchanges are unregulated, there is generally no central authority or regulator to examine internal exchange orders that separate proprietary activity from customer activity and ensure fair pricing.
THIN LIQUIDITY. A large institutional order, representing a sizable percentage of daily volume can move the market for a product, and related products in an exchange by a factor of 5-10%. That means a single order to buy $1,000,000 worth of bitcoin can cost an extra $50,000-$100,000 per transaction given a lack of liquidity if not managed correctly and executed on only one exchange. By way of comparison, similar trades on FX exchanges barely move markets a fraction of a percent; those price changes cost traders money, and deter investment.

What are the XTRD solutions?

FIX API
An API is an “Application Programming Interface”, a set of rules that computer programs use to communicate. FIX stands for “Financial Information eXchange”, the API standard used by most financial organizations as the intermediary protocol to communicate amongst disparate systems such as market data, execution, trade reporting, and order entry for the past 25 years.XTRD is fixing the problem of having 100 different APIs for 100 exchanges by creating a single FIX based API for market data and execution – the same FIX API that all current financial institutions utilize.XTRD will leverage our data center presences in DC3 Chicago and NY4 New Jersey to host FIX trading clients and reduce their trading latencies to single milliseconds, a time acceleration of 100x when it comes to execution vs internet. More infrastructure and private worldwide internet lines will be added in 2018 and beyond to enable secure, low latency execution for all XTRD clients, FIX and PRO.
XTRD PRO
XTRD PRO is a professional trading platform that will fix the basic problems with trading across crypto exchanges – the need to open multiple web pages, having to click around multiple windows, only being able to use basic order types, and not seeing all your positions, trades, and market data in one place.XTRD PRO will be standalone, downloadable, robust end-to-end encrypted software that will consolidate all market data from exchanges visually into one order book, provide a consolidated position and order view across all your exchange accounts, and enable client side orders not available on exchanges – keyboard macro shortcuts, VWAP/TWAP, shaving the bid and offer, hit through 1% of the inside, reserve orders that bid 100 but show 1, SMART order routing to best exchange and intelligent order splicing across exchanges based on execution costs net of fees, OCO and OTO, many others.
XTRD SPA
XTRD SPA is the solution to bridge cross-exchange liquidity issues. XTRD is creating Joint Venture partnerships with trusted cryptocurrency exchanges to provide clients on those exchanges execution across other exchanges where they do not have accounts by leveraging XTRD’s liquidity pools.An order placed by a client at CEX.IO, XTRD’s first JV partner, can be executed by XTRD at a different exchange where there may be a better price or higher liquidity for a digital asset. Subsequently, XTRD will deliver the position to CEX.IO and then CEX.IO will deliver the execution to the client, with XTRD acting as just another market participant at the CEX.IO exchange.XTRD does not take custody of funds, we are a technology partner with exchanges. All local exchange rules, procedures, and AML/KYC policies apply.
XTRD DARK
Institutions and large market participants who have large orders of 100 BTC or more generally must execute across multiple markets, increasing their counterparty risk, paying enormous commissions and spreads, and generally having to deal with the vagaries of the crypto space. Alternatives are OTC brokers that charge multiple percents or private peer-to-peer swaps which are difficult to effectuate unless one is deeply in the space.XTRD is launching XTRD DARK – a dark liquidity pool to trade crypto vs fiat that matches buyers and sellers of large orders, discreetly and anonymously, at a much lower cost. Liquidity is not displayed so large orders do not move thin markets as they would publicly. The liquidity will come from direct XTRD DARK participants as well as aggregation of retail order flow into block orders, XTRD’s own liquidity pools, connections with decentralized exchanges to effectuate liquidity swaps, and OTC broker order flow.XTRD is partnering with a fiat banking providebroker dealer to onboard all XTRD DARK participants for the fiat currency custody side with full KYC/AML procedures.

XTRD Tokenomics

Who is XTRD intended for?

XTRD is mainly aimed at major institutions, hedge funds, algorithmic traders who are currently unable to enter the crypto markets.
These firms include companies such as Divisa Capital run by XTRD Advisor Mushegh Tovmasyan.

XTRD Weekly Updates

Upcoming Events

AMA's

Further AMA's will be coming soon!

XTRD In The Media

Resources

More information will be added to this thread as the project develops.
We are currently looking for key community members to assist in building out this thread.
If you are interested please email [[email protected]](mailto:[email protected])
submitted by tylerbro77 to XtradeIO [link] [comments]

STOCK MARKET TRADING

STOCK MARKET TRADING
Come Into My Trading Room - Alexander Elder.pdf
Currency Strategy A Practitioner's Guide To Currency Trading, Hedging And Forecasting.pdf
Currency Trading For Dummies - 2nd Edition by Brian Dolan.pdf
Day trading & Swing trading the currency market_Technical and fundamental strategies to profit from market moves-Kathy Lien.pdf
Elder Alexander - Trading For A Living.pdf
J. Person - A Complete Guide to Technical Trading Tactics(2004).pdf
Long-Term Secrets to Short-Term Trading.pdf
Millionaire Traders How Everyday people are beating Wall Street at its own game.pdf
Naked Forex High-Probability Techniques for Trading Without Indicators -Wiley Trading.pdf
reminiscences of a stock operator - edwin lefevre.pdf
Technical Analysis of the Financial Markets A Comprehensive Guide to Trading.pdf
The Disciplined Trader-Developing Winning Attitudes.pdf
The New Market Wizards.pdf
Trade_Your_Way_to_Financial_Freedom.mabroke.blogspot.com.pdf
submitted by Jimmycrackerson to Arcave [link] [comments]

The Bloomberg Finance Lab

The Bloomberg Terminal (aka Bloomberg Professional Services) connects finance professionals to a dynamic network of information, people, and ideas. At the core of this network is the ability to deliver real-time data to finance professionals around the world.
The main value added services provided by Bloomberg Terminal are:
  1. Data
  2. News
  3. Analytics
These services are provided through innovative, proprietary technology, that quickly and accurately provides financial information to individuals and across enterprises around the world.
A world leader in providing market data information across the globe through its websites, apps and dedicated feeds and software products, Bloomberg offers a variety of tools available on free and paid basis, allowing finance professionals to use them in their research, analysis and related trading activities. Bloomberg’s coverage includes all possible financial securities ranging from equities, fixed income, derivatives, commodities, forex and OTC products, across the globe.

Bloomberg website:

The official Bloomberg website offers a wealth of free and subscription based tools and utilities, most offering customized views as per regions/markets.

Symbol Lookup Service:

Introduced couple of years back, Bloomberg Open Symbology tool offers Symbol lookup service and mapping of different symbols (SEDOL, CUSIP, ISIN, Stock exchange ticker, etc.) at global level. Individual traders as well as large investment firms having a need to consolidate data sourced from multiple sources with different symbols use this service. For e.g. a mutual fund company may take 2 different data feeds – one from Bloomberg containing Bloomberg symbol and other from Stock exchange containing local ticker. Symbology service enables cross referencing to validate data across two sources with different tickers.
Apart from the generic Open Symbology service, the widely followed Bloomberg symbols can be accessed through its dedicated symbol search tool.

Bloomberg Professional Products & Services:

The paid professional products and tools available from Bloomberg offer coverage across 360+ exchanges, 24000+ companies, global currency markets, and includes recently launched bitcoin coverage. These products and tools today are used by more than 315,000 subscribers across 175 countries, demonstrating the depth and variety of offerings from Bloomberg.
Bloomberg Market data terminal remains the most saleable product for both individual and enterprise use. A good 2 pager Getting Started Guide is available for introduction to financial analysis tools available within the Bloomberg Terminal. Apart from usual charts, graphs, technical indicators and market data coverage, one of the key selling points of Bloomberg Terminals is its instant messaging feature which enables easy communication across individuals, dedicated workgroups and even Bloomberg representatives for assistance.
Bloomberg Briefs: A dedicated service in the form of digital newsletters for the global financial markets, Bloomberg Brief offers insights into sector or region specific areas in PDF format.
Briefs for following categories are published daily – Bankruptcy & Restructuring, Economics, Economics Asia, Economics Europe, London, Municipal Market and Oil. Publication for other categories is weekly – China, Clean Energy & Carbon, Financial Regulation, Hedge Funds Europe, Hedge Funds, Leveraged Finance, Mergers, Private Equity, Structured Notes and Technical Strategies.
Such wide varieties of tools offered by Bloomberg come with lots of portability. All website based functionality can be accessed through standard browsers on mobiles and tablets, and even professional products offer portability for mobile and remote access through desktops, laptops, tablets and smartphones.

Bloomberg Enterprise Solutions

At the enterprise level, Bloomberg offers dedicated data feeds, pricing, reference and market data, news and information services to meet the needs of large financial enterprises employing financial analysts, traders and researchers. The Bloomberg trading solutions, offer connectivity and integration for buy side and sell side institutional clients. These find usage in complementing the OMS (Order management system), and recent EMS (Execution management system), for trade execution.
N L Dalmia has set up Mumbai’s first Bloomberg Finance Lab with 12 Bloomberg terminals, offering students extremely focused and high end knowledge programs with a high degree of practical learning and on-the-job applicability. Learning mba in mumbai from N L Dalmia is a step towards boosting one's career.
submitted by dipika20 to MBAinIndiaExplained [link] [comments]

The Bloomberg Finance Lab Launched at N L Dalmia Campus Mumbai

The Bloomberg Terminal (aka Bloomberg Professional Services) connects finance professionals to a dynamic network of information, people, and ideas. At the core of this network is the ability to deliver real-time data to finance professionals around the world.
The main value added services provided by Bloomberg Terminal are:
  1. Data
  2. News
  3. Analytics
These services are provided through innovative, proprietary technology, that quickly and accurately provides financial information to individuals and across enterprises around the world.
A world leader in providing market data information across the globe through its websites, apps and dedicated feeds and software products, Bloomberg offers a variety of tools available on free and paid basis, allowing finance professionals to use them in their research, analysis and related trading activities. Bloomberg’s coverage includes all possible financial securities ranging from equities, fixed income, derivatives, commodities, forex and OTC products, across the globe.

Bloomberg website:

The official Bloomberg website offers a wealth of free and subscription based tools and utilities, most offering customized views as per regions/markets.

Symbol Lookup Service:

Introduced couple of years back, Bloomberg Open Symbology tool offers Symbol lookup service and mapping of different symbols (SEDOL, CUSIP, ISIN, Stock exchange ticker, etc.) at global level. Individual traders as well as large investment firms having a need to consolidate data sourced from multiple sources with different symbols use this service. For e.g. a mutual fund company may take 2 different data feeds – one from Bloomberg containing Bloomberg symbol and other from Stock exchange containing local ticker. Symbology service enables cross referencing to validate data across two sources with different tickers.
Apart from the generic Open Symbology service, the widely followed Bloomberg symbols can be accessed through its dedicated symbol search tool.

Bloomberg Professional Products & Services:

The paid professional products and tools available from Bloomberg offer coverage across 360+ exchanges, 24000+ companies, global currency markets, and includes recently launched bitcoin coverage. These products and tools today are used by more than 315,000 subscribers across 175 countries, demonstrating the depth and variety of offerings from Bloomberg.
Bloomberg Market data terminal remains the most saleable product for both individual and enterprise use. A good 2 pager Getting Started Guide is available for introduction to financial analysis tools available within the Bloomberg Terminal. Apart from usual charts, graphs, technical indicators and market data coverage, one of the key selling points of Bloomberg Terminals is its instant messaging feature which enables easy communication across individuals, dedicated workgroups and even Bloomberg representatives for assistance.
Bloomberg Briefs: A dedicated service in the form of digital newsletters for the global financial markets, Bloomberg Brief offers insights into sector or region specific areas in PDF format.
Briefs for following categories are published daily – Bankruptcy & Restructuring, Economics, Economics Asia, Economics Europe, London, Municipal Market and Oil. Publication for other categories is weekly – China, Clean Energy & Carbon, Financial Regulation, Hedge Funds Europe, Hedge Funds, Leveraged Finance, Mergers, Private Equity, Structured Notes and Technical Strategies.
Such wide varieties of tools offered by Bloomberg come with lots of portability. All website based functionality can be accessed through standard browsers on mobiles and tablets, and even professional products offer portability for mobile and remote access through desktops, laptops, tablets and smartphones.

Bloomberg Enterprise Solutions

At the enterprise level, Bloomberg offers dedicated data feeds, pricing, reference and market data, news and information services to meet the needs of large financial enterprises employing financial analysts, traders and researchers. The Bloomberg trading solutions, offer connectivity and integration for buy side and sell side institutional clients. These find usage in complementing the OMS (Order management system), and recent EMS (Execution management system), for trade execution.
NLDIMSR has set up Mumbai’s first Bloomberg Finance Lab with 12 Bloomberg terminals, offering students extremely focused and high end knowledge programs with a high degree of practical learning and on-the-job applicability.
submitted by dipika20 to MBAIndia [link] [comments]

[uncensored-r/CryptoCurrency] Genesis Vision and why this is one of the most promising projects of 2018 that no one is talking ...

The following post by IAmThe_ParTY is being replicated because some comments within the post(but not the post itself) have been openly removed.
The original post can be found(in censored form) at this link:
np.reddit.com/ CryptoCurrency/comments/7ra59m
The original post's content was as follows:
Genesis Vision, the platform with a spectacular team and advisory board, low coin supply, entering a market valued over 70 trillion dollars adding full transparency for investors!
Current price: $ 21.14 USD Market cap: $ 78 million USD Circulating supply: 3.7 million GVT Total supply: 4.4 million GVT
Exchanges:
Binance Kucoin HitBTC Ether delta
More being added soon
Basic information (1) Genesis Vision is going after an industry that has never been transparent; asset/trust management. Traditional trust management systems are a black box to potential investors. In any event, investors transfer money to a financial manager and then wait to receive profits. They receive a statistic on the use of their assets and the financial manager's performance, but investors have essentially no way to verify this information. Too often, the real situation is understood when the money can no longer be returned. A large number of fraudulent conducts in the trust management market was detected in recent years.
(2) The natural reaction for this situation was tightening the regulations in this sphere. This leads to serious limitations on the potential of market participants and lack of usability. However the global asset market is growing, the amount of funds in management was more than 71 trillion dollars in 2015.
(3) Genesis Vision is a platform (GVP) for the private trust management market, built on blockchain technology and smart contracts. It unites exchanges, brokers, traders, and investors into a decentralized network, making the financial market more global and transparent. They believe that implementation of blockchain will allow the trust management market to achieve transparency and efficiency on the technological level.
In the trust management there are three participants in the market:
  • The Investor, transfers funds to experienced traders who manage their funds.
  • The Manager, a trader or company who trades for investors. They receive a commision from the profit.
  • The Brokers, companies that have the appropriate licenses to carry out brokerage activities. Through brokers, traders have access to trading financial instruments on exchange and over-the-counter markets.
The GVP works as follows; Each manager in the Genesis Vision network has his own cryptocurrency. The process of transferring funds to the manager is carried out by buying a manager's cryptocurrency on the internal exchange. From the manager’s point of view, the trade process will not change. The trader will continue to operate on the exchange or through a broker. Genesis Vision, in turn, represents a common open source of reliable information about the statistics of the network participants' activities and a transparent system of investment and profit distribution, built on smart contracts.
Some advantages for Investors: Investors have access to managers from all over the world; Profit distribution is completely transparent and open; There is better availability of investment portfolios(high-risk, low-risk, etc.); All managers have a real trading history that cannot be faked.
Some advantages for managers: Attract investors from any country; Transparency and fairness of report construction guarantees fair competition between all managers; There is increased investor confidence; Opportunities for promoting your own trading strategy to attract more investors; Managers issue their own branded cryptocurrency.
Some advantages for brokers: Brokers have an opportunity to attract investors from all over the world; Brokers have the right to do any marketing; The system does not require any information about the broker's client base.
Use of Genesis Vision Token (GVT) GVT is a currency of the Genesis Vision Platform and will be used for all investment operations and profit distributions. The platform is the place where investors can purchase and sell managers’ coins. Managers have a limited amount of coins, which depends on their level. Initially, these coins can only be purchased directly from the manager for a fixed price. Afterwards, they can be freely traded among the investors on the internal exchange. In this case, investors determine the price based on supply and demand.
The cost of these coins will depend on the success of a manager’s trading because the manager’s profitable trading makes his/her coins "profitable." So investors want to get a higher price for the coin. This method has several advantages over the traditional scheme of transferring money to a manager’s account: The manager's coin itself is an asset; At any time, the investor can transfesell this cryptocurrency on the internal exchange; The user buys “tangible” coins and can be cashed at any time. When investors purchase coins, GVTs are transferred to a broker's account, where they are converted to required currency and transferred to a manager's trading account. Coin holders receive part of the manager's profits, according to their share, minus the manager's commission and fee. The GVT will be used for all investment operations, profit distributions, and managers’ token trading on the internal exchange.
Token distribution 40%: Development, Support; 30%: Marketing; 15%: Integration, servers, connectivity, auditing; 10%: Legal 5%: Other.
Connecting a Broker The owner of the trading platform needs to install the Genesis Vision software, which is free and distributed with an open license.
Company, Team & Investors The project started on November 20, 2016, when Ruslan Kamenskiy and Dmitry Nazarov won the HackRussia hackathon in the nomination “Finance and Blockchain” with the Genesis Vision project.
At the beginning of 2017, Alexey Kutsenko, CEO of Tools For Brokers joined the team. His fintech company has been operating on the market for eight years and has more than 300 brokers as clients. Alexey helps elaborate strategy for entering the market and manages details of Genesis Vision’s trust management solution.
(4) In total, the project has 10 team members and 14 advisors.
CEO: Ruslan Kamenskiy, 7+ years financial software developer. He developed a trading system for the stock exchange “Saint Petersburg”, was head of the software department of a financial broker company, and implemented HFT strategies for the hedge fund.
(5) CTO: Dmitry Nazarov, 6+ years software developer in international financial organizations, among them are a brokerage company, a stock exchange, and an UK-based foreign exchange company.
(6)Technical lead: Casimir Compaore, 10+ years of development experience, especially in the field of data science. He worked as an Information Technology Officer at African Union Commission and has experience in ASP.NET, Agile/Lean development and is a Microsoft Certified Professional Developer.
(7)Partnerships Tools for Brokers Inc, develops technological solutions for Forex brokers operating on the stock and currency markets since 2009. (8)
Roadmap (1) - 2018 M4: Genesis Vision Alpha finished: Blockchain platform, Integration MetaTrader 4, Client App Alpha, Marketing for attracting partners’ brokers - 2018 M5: Integration MetaTrader 5 - 2018 M7: Integration Fix/Fast - 2018 M9: Genesis Vision Beta finished: Blockchain platform, Integration Crypto Exchange, Client App web - 2018 M11: Client App Mobile Beta - 2019 M1: Genesis Vision V 1.0: Blockchain platform, Stock exchange integration, Mobile and web app, Campaign to attract brokers. - 2019 M2: Campaign to attract managers and investors. - 2019 M7: Client app backoffice for brokers - 2020 M1: Genesis Vision V2.0: Blockchain platform, Bank integration, Mobile and web app
Sources (1): https://genesis.vision/white-paper-eng.pdf (2): http://www.financemagnates.com/forex/regulation/30-million-forex-ponzi-scheme-unveiled/ (3): http://www.agefi.fsites/agefi.ffiles/fichiers/2016/07/bcg-doubling-down-on-data-july-2016_tcm80-2113701.pdf (4): https://www.linkedin.com/in/alexey-kutsenko-59237b78/ (5): https://www.linkedin.com/in/ruslan-kamenskiy/ (6): https://www.linkedin.com/in/dmitry-nazarov-01b382105/ (7): https://www.linkedin.com/in/casimircompaore/ (8): http://www.t4b.com/
Source: Wolfpack research group
Edit: community built website for added information
GVT community
submitted by censorship_notifier to noncensored_bitcoin [link] [comments]

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

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

Top Submitters' Top Submissions

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

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  89. urider (42 points, 33 comments)
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  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
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  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
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