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ATO Australian tax treatment for options trades 🇦🇺

I am posting this as I hope it will help other Australian options traders trading in US options with their tax treatment for ATO (Australian Tax Office) purposes. The ATO provides very little guidance on tax treatment for options trading and I had to do a lot of digging to get to this point. I welcome any feedback on this post.

The Deloitte Report from 2011

My initial research led me to this comprehensive Deloitte report from 2011 which is hosted on the ASX website. I've been through this document about 20 times and although it's a great report to understand how different scenarios apply, it's still really hard to find out what's changed since 2011.
I am mainly relating myself to the scenario of being an individual and non-sole trader (no business set up) for my trading. I think this will apply to many others here too. According to that document, there isn't much guidance on what happens when you're an options premium seller and close positions before they expire.
Note that the ATO sometimes uses the term "ETO" (Exchange Traded Option) to discuss what we're talking about here with options trading.
Also note: The ATO discusses the separate Capital Gains Tax ("CGT") events that occur in each scenario in some of their documents. A CGT event will then determine what tax treatment gets applied if you don't know much about capital gains in Australia.

ATO Request for Advice

Since the Deloitte report didn't answer my questions, I eventually ended up contacting the ATO with a request for advice and tried to explain my scenario: I'm an Australian resident for tax purposes, I'm trading with tastyworks in $USD, I'm primarily a premium seller and I don't have it set up with any business/company/trust etc. In effect, I have a rough idea that I'm looking at capital gains tax but I wanted to fully understand how it worked.
Initially the ATO respondent didn't understand what I was talking about when I said that I was selling a position first and buying it to close. According to the laws, there is no example of this given anywhere because it is always assumed in ATO examples that you buy a position and sell it. Why? I have no idea.
I sent a follow up request with even more detail to the ATO. I think (hope) they understood what I meant now after explaining what an options premium seller is!

Currency Gains/Losses

First, I have to consider translating my $USD to Australian dollars. How do we treat that?
FX Translation
If the premium from selling the options contract is received in $USD, do I convert it to $AUD on that day it is received?
ATO response:
Subsection 960-50(6), Item 5 of the Income Tax Assessment Act 1997 (ITAA 1997) states the amount should be translated at the time of the transaction or event for the purposes of the Capital Gains Tax provisions. For the purpose of granting an option to an entity, the time of the event is when you grant the option (subsection 104-20(2) ITAA 1997).
This is a very detailed response which even refers to the level of which section in the law it is coming from. I now know that I need to translate my trades from $USD to $AUD according to the RBA's translation rates for every single trade.
But what about gains or losses on translation?
There is one major rule that overrides FX gains and losses after digging deeper. The ATO has a "$250k balance election". This will probably apply to a lot of people trading in balances below $250k a lot of the FX rules don't apply. It states:
However, the $250,000 balance election broadly enables you to disregard certain foreign currency gains and losses on certain foreign currency denominated bank accounts and credit card accounts (called qualifying forex accounts) with balances below a specified limit.
Therefore, I'm all good disregarding FX gains and losses! I just need to ensure I translate my trades on the day they occurred. It's a bit of extra admin to do unfortunately, but it is what it is.

Credit Trades

This is the scenario where we SELL a position first, collect premium, and close the position by making an opposite BUY order. Selling a naked PUT, for example.
What happens when you open the position? ATO Response:
The option is grantedCGT event D2 happens when a taxpayer grants an option. The time of the event is when the option is granted. The capital gain or loss arising is the difference between the capital proceeds and the expenditure incurred to grant the option.
This seems straight forward. We collect premium and record a capital gain.
What happens when you close the position? ATO Response:
Closing out an optionThe establishment of an ETO contract is referred to as opening a position (ASX Explanatory Booklet 'Understanding Options Trading'). A person who writes (sells) a call or put option may close out their position by taking (buying) an identical call or put option in the same series. This is referred to as the close-out of an option or the closing-out of an opening position.
CGT event C2 happens when a taxpayer's ownership of an intangible CGT asset ends. Paragraph 104-25(1)(a) of the ITAA 1997 provides that ownership of an intangible CGT asset ends by cancellation, surrender, or release or similar means.
CGT event C2 therefore happens to a taxpayer when their position under an ETO is closed out where the close-out results in the cancellation, release or discharge of the ETO.
Under subsection 104-25(3) of the ITAA 1997 you make a capital gain from CGT event C2 if the capital proceeds from the ending are more than the assets cost base. You make a capital loss if those capital proceeds are less than the assets reduced cost base.
Both CGT events (being D2 upon granting the option and C2 upon adopting the close out position) must be accounted for if applicable to a situation.
My take on this is that the BUY position that cancels out your SELL position will most often simply realise a capital loss (the entire portion of your BUY position). In effect, it 'cancels out' your original premium sold, but it's not recorded that way, it's recorded as two separate CGT events - your capital gain from CGT event D2 (SELL position), then, your capital loss from CGT event C2 (BUY position) is also recorded. In effect, they net each other out, but you don't record them as a 'netted out' number - you record them separately.
From what I understand, if you were trading as a sole tradecompany then you would record them as a netted out capital gain or loss, because the trades would be classified as trading stock but not in our case here as an individual person trading options. The example I've written below should hopefully make that clearer.
EXAMPLE:
Trade on 1 July 2020: Open position
Trade on 15 July 2020: Close position
We can see from this simple example that even though you made a gain on those trades, you still have to record the transactions separately, as first a gain, then as a loss. Note that it is not just a matter of netting off the value of the net profit collected and converting the profit to $AUD because the exchange rate will be different on the date of the opening trade and on the date of the closing trade we have to record them separately.

What if you don't close the position and the options are exercised? ATO Response:
The option is granted and then the option is exercisedUnder subsection 104-40(5) of the Income Tax Assessment Act 1997 (ITAA 1997) the capital gain or loss from the CGT event D2 is disregarded if the option is exercised. Subsection 134-1(1), item 1, of the ITAA 1997 refers to the consequences for the grantor of the exercise of the option.
Where the option binds the grantor to dispose of a CGT asset section 116-65 of the ITAA 1997 applies to the transaction.
Subsection 116-65(2) of the ITAA 1997 provides that the capital proceeds from the grant or disposal of the shares (CGT asset) include any payment received for granting the option. The disposal of the shares is a CGT event A1 which occurs under subsection 104-10(3) of the ITAA 1997 when the contract for disposal is entered into.
You would still make a capital gain at the happening of the CGT event D2 in the year the event occurs (the time the option is granted). That capital gain is disregarded when the option is exercised. Where the option is exercised in the subsequent tax year, the CGT event D2 gain is disregarded at that point. An amendment may be necessary to remove the gain previously included in taxable income for the year in which the CGT event D2 occurred.
This scenario is pretty unlikely - for me personally I never hold positions to expiration, but it is nice to know what happens with the tax treatment if it ultimately does come to that.

Debit Trades

What about the scenario when you want to BUY some options first, then SELL that position and close it later? Buying a CALL, for example. This case is what the ATO originally thought my request was about before I clarified with them. They stated:
When you buy an ETO, you acquire an asset (the ETO) for the amount paid for it (that is, the premium) plus any additional costs such as brokerage fees and the Australian Clearing House (ACH) fee. These costs together form the cost base of the ETO (section 109-5 of the ITAA 1997). On the close out of the position, you make a capital gain or loss equal to the difference between the cost base of the ETO and the amount received on its expiry or termination (subsection 104-25(3) of the ITAA 1997). The capital gain or loss is calculated on each parcel of options.
So it seems it is far easier to record debit trades for tax purposes. It is easier for the tax office to see that you open a position by buying it, and close it by selling it. And in that case you net off the total after selling it. This is very similar to a trading shares and the CGT treatment is in effect very similar (the main difference is that it is not coming under CGT event A1 because there is no asset to dispose of, like in a shares or property trade).

Other ATO Info (FYI)

The ATO also referred me to the following documents. They relate to some 'decisions' that they made from super funds but the same principles apply to individuals they said.
The ATO’s Interpretative Decision in relation to the tax treatment of premiums payable and receivable for exchange traded options can be found on the links below. Please note that the interpretative decisions below are in relation to self-managed superannuation funds but the same principles would apply in your situation [as an individual taxpayer, not as a super fund].
Premiums Receivable: ATO ID 2009/110

Some tips

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ASIC Regulation Thread - Regarding the proposed changes ( Australians effected the most )

I'm hopeless at formatting text, so if you think you can structure this post better take everything i write and put it into an easy to digest way. I'm just going to type out everything i know in text as fast as possible. I'm not a legal expert, I'm not somehow who understands every bit of information in the PDF's below, but i know I'm a retail trader that uses leverage to make profit which is why I'm posting this, in the hope that someone who can run a charge better than me, will.
Some of you are already aware of what might be happening, this is just a post to educate retail traders on changes that might be coming to certain brokers. This effects Australian Customers the most, but also effects those living in other countries that use Australian brokers, such as Pepperstone and others.
Last year in August 2019, ASIC ( Australian Securities and Investments Commission ) was concerned about retail traders going into Forex and Binary options without understanding these instruments properly and started sticking their noses in for tough regulation.
ASIC asked brokers and anyone with interest in the industry to write to them and explain what should and should not change from the changes they proposed, some of the proposed changes are very misguided and come from a lack of understanding exactly how OTC derivatives actually work.
I will provide the link to the paper further down so you can read it yourself and i will provide a link to all the submission made by all parties that sent submissions to ASIC, however the 2 main points of debate are:
1, To reduce the overall leverage available to retail traders to either 20:1 or 30:1. This means people who currently use leverage such as 100:1 to 500:1 and everything in between will be effected the most, even more so are those traders with relatively small accounts, meaning in order to get your foot in the door to trading you will need more capital for it to be viable.
^^ This point above is very important.
2, The removing of Binary options trading, which basically includes products like "Bet if gold will rise to this price in the next 30 seconds" This sort of stuff. So far from all the submissions from brokers and individuals nobody really cares if this changes as far as i know, though if you have concerns about this i would start voicing your disapproval. Though i would not waste your time here, all is pointing to this being eradicated completely with brokers also supporting the changes, I've never used such a product and know very little about them.
^^ This point above isn't very important and will probably be enforced in the future.
Still to this day i see retail traders not understanding leverage, they think of it as "dangerous and scary", it's not, position size is the real danger, not leverage. So ASIC is aiming to limit retail traders access to high leverage, they are claiming it is a way to protect traders who don't really understand what they are getting into by attacking leverage and not the real problem which is position size relative to your capital.
If it was truly about protecting retail traders from blowing up their accounts, they would look for ways to educate traders on "understanding position sizes and why it's important" rather than attacking leverage, but their goal is misguided or has an ulterior motive . I will give you a small example below.
EXAMPLE - We will use 2 demo accounts for demonstration purposes. If you don't understand my example, i suggest you try it for yourself. - Skip if not interested in examples.
Lets say we open 2 demo accounts with $1000 in both, one with 20:1 leverage and one with 500:1 leverage and we open an identical position on both accounts ( say a micro lot '0.01' on EURUSD ). You are safer on the 500:1 account as you don't need to put up as much margin as collateral as you would on the 20:1. If the trade we just opened goes against us and continues against us, the account with 20:1 leverage will run out of free margin a lot faster than the 500:1 account. In this simple example is shows you that leverage is not dangerous but safer and gives you a lot more breathing room. This trade was a small micro lot, so it would take hundreds of pips movements to get margin called and blow up that $1000 on each account. Lets now use a different position size to truly understand why retail traders blow up accounts and is the reason why trading can be dangerous.
This time instead of opening a micro lot of '0.01' on our $1000 dollar demo accounts, lets open a position size much larger, 5 lots. Remember we only have $1000 and we are about to open a position much larger relative to our capital ( which we should never do because we can't afford to do that ) the 20:1 probably wont even let you place that trade if you don't have enough margin as collateral or if you could open the position you would have a very tiny amount of free margin left over, meaning a small pip movement against you will instantly blow up your $1000 account. On the 500:1 account you wouldn't need to put up as much margin as collateral with more free margin if the trade goes bad, but again a small movement could blow up your account. In this example, both accounts were dangerous because the lack of understanding position sizes, opening a position you can't afford to open. This is what the true danger is, not the leverage.
Even in the second example, the higher leverage would "margin call" you out later. So i would go as far to say that lower leverage is more dangerous for you because it margin calls you out faster and just by having a lower leverage doesn't stop you from opening big positions that can blow you up in a 5 pip movement anymore, any leverage size is dangerous if you're opening positions you can't afford to open. This is also taking into consideration that no risk management is being used, with risk management higher leverage is even more powerful.
ASIC believes lowering leverage will stop people opening positions that they can't afford. When the reality is no matter how much capital you have $500, $1000, $5000, $50,000, $500,000, $5,000,000. You don't open position sizes that will blow that capital up completely with small movements. The same thing can happen on a 20:1 or 500:1 account.
Leverage is a tool, use it, if your on a lower leverage already such as 20:1, 30:1 it means your country has been regulated and you already have harder trading conditions. Just remember higher leverage allows you to open larger position sizes in total for the amount of money you own, but the issue is NOT that your using the higher leverage but because you are opening positions you can't afford, for what ever reason that is, the only fix for this is education and will not be fixed by simply lowing leverage, since you can just as easy blow up your account on low leverage just as fast or if not faster.
So what is going on?
There might ( get your tinfoil hats on ) be more that is involved here, deeper than you think, other agendas to try and stop small time retail traders from making money via OTC products, theories such as governments not wanting their citizens to be traders, rather would prefer you to get out there and work a 9 to 5 instead. Effective ways to do this would be making conditions harder with a much larger barrier of entry and the best way to increase the barrier of entry for retail traders is to limit leverage, lower leverage means you need to put up more money, less breathing room for trades, lower potential. They are limiting your upside potential and the downside stays the same, a blown account is a blow account.
Think of leverage as a weapon, a person wielding a butchers knife can probably destroy a person wielding a steak knife, but both knifes can prove fatal. They want to make sure your holding the butter knife then tell you to butcher a cow with it. 30:1 leverage is still workable and can still be profitable, but not as profitable as 500:1 accounts. This is why they are allowing professionals to use high leverage, this gives them another edge over successful retail traders who will still be trying to butcher a cow with a butter knife, while they are slaying limbs off the cow with machetes.
It's a way to hamstring you and keep you away rather than trying to "protect" you. The real danger is not leverage, they are barking up the wrong tree, how convenient to be barking up the very tree most retail traders don't fully understand ( leverage) , pass legislation to make trading conditions harder and at the same time push the narrative that trading is dangerous by making it even harder. A full circle strategy to make your trading conditions worse, so you don't succeed.
Listen carefully especially if you trade with any of the brokers that have provided their submissions to ASIC. Brokers want to seem like they are on your side and so far some of the submissions ( i haven't read them all ) have brokers willing to drop their leverage down to 30:1 because they know by dropping the leverage down it will start margin calling out their clients at a much faster rate, causing more blown up accounts / abandoned accounts with residual margin called funds, but they also know that if they make trading environments too hard less people will trade or even worse move their funds elsewhere offshore to unregulated brokers that offer higher leverage.
Right now it's all just a proposal, but as governments expand and continue to gain more control over it's citizens, it's just a matter of time till it's law, it's up to you to be vocal about it, let your broker know that if they drop their leverage, you're out, force them to fight for you.
If you have any more information related to this, or have anything to add, post below. I'm not an expert at this technical law talk, i know that i do well with 500:1 leverage and turn profits with it, it would be harder for me to do on a lower leverage, this is the reason for my post.
All related documents HERE
CP-322 ( Consultation paper 322 ) & Submissions from brokers and others.
https://asic.gov.au/regulatory-resources/find-a-document/consultation-papers/cp-322-product-intervention-otc-binary-options-and-cfds/
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No, the British did not steal $45 trillion from India

This is an updated copy of the version on BadHistory. I plan to update it in accordance with the feedback I got.
I'd like to thank two people who will remain anonymous for helping me greatly with this post (you know who you are)
Three years ago a festschrift for Binay Bhushan Chaudhuri was published by Shubhra Chakrabarti, a history teacher at the University of Delhi and Utsa Patnaik, a Marxist economist who taught at JNU until 2010.
One of the essays in the festschirt by Utsa Patnaik was an attempt to quantify the "drain" undergone by India during British Rule. Her conclusion? Britain robbed India of $45 trillion (or £9.2 trillion) during their 200 or so years of rule. This figure was immensely popular, and got republished in several major news outlets (here, here, here, here (they get the number wrong) and more recently here), got a mention from the Minister of External Affairs & returns 29,100 results on Google. There's also plenty of references to it here on Reddit.
Patnaik is not the first to calculate such a figure. Angus Maddison thought it was £100 million, Simon Digby said £1 billion, Javier Estaban said £40 million see Roy (2019). The huge range of figures should set off some alarm bells.
So how did Patnaik calculate this (shockingly large) figure? Well, even though I don't have access to the festschrift, she conveniently has written an article detailing her methodology here. Let's have a look.
How exactly did the British manage to diddle us and drain our wealth’ ? was the question that Basudev Chatterjee (later editor of a volume in the Towards Freedom project) had posed to me 50 years ago when we were fellow-students abroad.
This is begging the question.
After decades of research I find that using India’s commodity export surplus as the measure and applying an interest rate of 5%, the total drain from 1765 to 1938, compounded up to 2016, comes to £9.2 trillion; since $4.86 exchanged for £1 those days, this sum equals about $45 trillion.
This is completely meaningless. To understand why it's meaningless consider India's annual coconut exports. These are almost certainly a surplus but the surplus in trade is countered by the other country buying the product (indeed, by definition, trade surpluses contribute to the GDP of a nation which hardly plays into intuitive conceptualisations of drain).
Furthermore, Dewey (2019) critiques the 5% interest rate.
She [Patnaik] consistently adopts statistical assumptions (such as compound interest at a rate of 5% per annum over centuries) that exaggerate the magnitude of the drain
Moving on:
The exact mechanism of drain, or transfers from India to Britain was quite simple.
Convenient.
Drain theory possessed the political merit of being easily grasped by a nation of peasants. [...] No other idea could arouse people than the thought that they were being taxed so that others in far off lands might live in comfort. [...] It was, therefore, inevitable that the drain theory became the main staple of nationalist political agitation during the Gandhian era.
- Chandra et al. (1989)
The key factor was Britain’s control over our taxation revenues combined with control over India’s financial gold and forex earnings from its booming commodity export surplus with the world. Simply put, Britain used locally raised rupee tax revenues to pay for its net import of goods, a highly abnormal use of budgetary funds not seen in any sovereign country.
The issue with figures like these is they all make certain methodological assumptions that are impossible to prove. From Roy in Frankema et al. (2019):
the "drain theory" of Indian poverty cannot be tested with evidence, for several reasons. First, it rests on the counterfactual that any money saved on account of factor payments abroad would translate into domestic investment, which can never be proved. Second, it rests on "the primitive notion that all payments to foreigners are "drain"", that is, on the assumption that these payments did not contribute to domestic national income to the equivalent extent (Kumar 1985, 384; see also Chaudhuri 1968). Again, this cannot be tested. [...] Fourth, while British officers serving India did receive salaries that were many times that of the average income in India, a paper using cross-country data shows that colonies with better paid officers were governed better (Jones 2013).
Indeed, drain theory rests on some very weak foundations. This, in of itself, should be enough to dismiss any of the other figures that get thrown out. Nonetheless, I felt it would be a useful exercise to continue exploring Patnaik's take on drain theory.
The East India Company from 1765 onwards allocated every year up to one-third of Indian budgetary revenues net of collection costs, to buy a large volume of goods for direct import into Britain, far in excess of that country’s own needs.
So what's going on here? Well Roy (2019) explains it better:
Colonial India ran an export surplus, which, together with foreign investment, was used to pay for services purchased from Britain. These payments included interest on public debt, salaries, and pensions paid to government offcers who had come from Britain, salaries of managers and engineers, guaranteed profts paid to railway companies, and repatriated business profts. How do we know that any of these payments involved paying too much? The answer is we do not.
So what was really happening is the government was paying its workers for services (as well as guaranteeing profits - to promote investment - something the GoI does today Dalal (2019), and promoting business in India), and those workers were remitting some of that money to Britain. This is hardly a drain (unless, of course, Indian diaspora around the world today are "draining" it). In some cases, the remittances would take the form of goods (as described) see Chaudhuri (1983):
It is obvious that these debit items were financed through the export surplus on merchandise account, and later, when railway construction started on a large scale in India, through capital import. Until 1833 the East India Company followed a cumbersome method in remitting the annual home charges. This was to purchase export commodities in India out of revenue, which were then shipped to London and the proceeds from their sale handed over to the home treasury.
While Roy's earlier point argues better paid officers governed better, it is honestly impossible to say what part of the repatriated export surplus was a drain, and what was not. However calling all of it a drain is definitely misguided.
It's worth noting that Patnaik seems to make no attempt to quantify the benefits of the Raj either, Dewey (2019)'s 2nd criticism:
she [Patnaik] consistently ignores research that would tend to cut the economic impact of the drain down to size, such as the work on the sources of investment during the industrial revolution (which shows that industrialisation was financed by the ploughed-back profits of industrialists) or the costs of empire school (which stresses the high price of imperial defence)

Since tropical goods were highly prized in other cold temperate countries which could never produce them, in effect these free goods represented international purchasing power for Britain which kept a part for its own use and re-exported the balance to other countries in Europe and North America against import of food grains, iron and other goods in which it was deficient.
Re-exports necessarily adds value to goods when the goods are processed and when the goods are transported. The country with the largest navy at the time would presumably be in very good stead to do the latter.
The British historians Phyllis Deane and WA Cole presented an incorrect estimate of Britain’s 18th-19th century trade volume, by leaving out re-exports completely. I found that by 1800 Britain’s total trade was 62% higher than their estimate, on applying the correct definition of trade including re-exports, that is used by the United Nations and by all other international organisations.
While interesting, and certainly expected for such an old book, re-exporting necessarily adds value to goods.
When the Crown took over from the Company, from 1861 a clever system was developed under which all of India’s financial gold and forex earnings from its fast-rising commodity export surplus with the world, was intercepted and appropriated by Britain. As before up to a third of India’s rising budgetary revenues was not spent domestically but was set aside as ‘expenditure abroad’.
So, what does this mean? Britain appropriated all of India's earnings, and then spent a third of it aboard? Not exactly. She is describing home charges see Roy (2019) again:
Some of the expenditures on defense and administration were made in sterling and went out of the country. This payment by the government was known as the Home Charges. For example, interest payment on loans raised to finance construction of railways and irrigation works, pensions paid to retired officers, and purchase of stores, were payments in sterling. [...] almost all money that the government paid abroad corresponded to the purchase of a service from abroad. [...] The balance of payments system that emerged after 1800 was based on standard business principles. India bought something and paid for it. State revenues were used to pay for wages of people hired abroad, pay for interest on loans raised abroad, and repatriation of profits on foreign investments coming into India. These were legitimate market transactions.
Indeed, if paying for what you buy is drain, then several billions of us are drained every day.
The Secretary of State for India in Council, based in London, invited foreign importers to deposit with him the payment (in gold, sterling and their own currencies) for their net imports from India, and these gold and forex payments disappeared into the yawning maw of the SoS’s account in the Bank of England.
It should be noted that India having two heads was beneficial, and encouraged investment per Roy (2019):
The fact that the India Office in London managed a part of the monetary system made India creditworthy, stabilized its currency, and encouraged foreign savers to put money into railways and private enterprise in India. Current research on the history of public debt shows that stable and large colonies found it easier to borrow abroad than independent economies because the investors trusted the guarantee of the colonist powers.

Against India’s net foreign earnings he issued bills, termed Council bills (CBs), to an equivalent rupee value. The rate (between gold-linked sterling and silver rupee) at which the bills were issued, was carefully adjusted to the last farthing, so that foreigners would never find it more profitable to ship financial gold as payment directly to Indians, compared to using the CB route. Foreign importers then sent the CBs by post or by telegraph to the export houses in India, that via the exchange banks were paid out of the budgeted provision of sums under ‘expenditure abroad’, and the exporters in turn paid the producers (peasants and artisans) from whom they sourced the goods.
Sunderland (2013) argues CBs had two main roles (and neither were part of a grand plot to keep gold out of India):
Council bills had two roles. They firstly promoted trade by handing the IO some control of the rate of exchange and allowing the exchange banks to remit funds to India and to hedge currency transaction risks. They also enabled the Indian government to transfer cash to England for the payment of its UK commitments.

The United Nations (1962) historical data for 1900 to 1960, show that for three decades up to 1928 (and very likely earlier too) India posted the second highest merchandise export surplus in the world, with USA in the first position. Not only were Indians deprived of every bit of the enormous international purchasing power they had earned over 175 years, even its rupee equivalent was not issued to them since not even the colonial government was credited with any part of India’s net gold and forex earnings against which it could issue rupees. The sleight-of-hand employed, namely ‘paying’ producers out of their own taxes, made India’s export surplus unrequited and constituted a tax-financed drain to the metropolis, as had been correctly pointed out by those highly insightful classical writers, Dadabhai Naoroji and RCDutt.
It doesn't appear that others appreciate their insight Roy (2019):
K. N. Chaudhuri rightly calls such practice ‘confused’ economics ‘coloured by political feelings’.

Surplus budgets to effect such heavy tax-financed transfers had a severe employment–reducing and income-deflating effect: mass consumption was squeezed in order to release export goods. Per capita annual foodgrains absorption in British India declined from 210 kg. during the period 1904-09, to 157 kg. during 1937-41, and to only 137 kg by 1946.
Dewey (1978) points out reliability issues with Indian agriculutural statistics, however this calorie decline persists to this day. Some of it is attributed to less food being consumed at home Smith (2015), a lower infectious disease burden Duh & Spears (2016) and diversified diets Vankatesh et al. (2016).
If even a part of its enormous foreign earnings had been credited to it and not entirely siphoned off, India could have imported modern technology to build up an industrial structure as Japan was doing.
This is, unfortunately, impossible to prove. Had the British not arrived in India, there is no clear indication that India would've united (this is arguably more plausible than the given counterfactual1). Had the British not arrived in India, there is no clear indication India would not have been nuked in WW2, much like Japan. Had the British not arrived in India, there is no clear indication India would not have been invaded by lizard people, much like Japan. The list continues eternally.
Nevertheless, I will charitably examine the given counterfactual anyway. Did pre-colonial India have industrial potential? The answer is a resounding no.
From Gupta (1980):
This article starts from the premise that while economic categories - the extent of commodity production, wage labour, monetarisation of the economy, etc - should be the basis for any analysis of the production relations of pre-British India, it is the nature of class struggles arising out of particular class alignments that finally gives the decisive twist to social change. Arguing on this premise, and analysing the available evidence, this article concludes that there was little potential for industrial revolution before the British arrived in India because, whatever might have been the character of economic categories of that period, the class relations had not sufficiently matured to develop productive forces and the required class struggle for a 'revolution' to take place.
A view echoed in Raychaudhuri (1983):
Yet all of this did not amount to an economic situation comparable to that of western Europe on the eve of the industrial revolution. Her technology - in agriculture as well as manufacturers - had by and large been stagnant for centuries. [...] The weakness of the Indian economy in the mid-eighteenth century, as compared to pre-industrial Europe was not simply a matter of technology and commercial and industrial organization. No scientific or geographical revolution formed part of the eighteenth-century Indian's historical experience. [...] Spontaneous movement towards industrialisation is unlikely in such a situation.
So now we've established India did not have industrial potential, was India similar to Japan just before the Meiji era? The answer, yet again, unsurprisingly, is no. Japan's economic situation was not comparable to India's, which allowed for Japan to finance its revolution. From Yasuba (1986):
All in all, the Japanese standard of living may not have been much below the English standard of living before industrialization, and both of them may have been considerably higher than the Indian standard of living. We can no longer say that Japan started from a pathetically low economic level and achieved a rapid or even "miraculous" economic growth. Japan's per capita income was almost as high as in Western Europe before industrialization, and it was possible for Japan to produce surplus in the Meiji Period to finance private and public capital formation.
The circumstances that led to Meiji Japan were extremely unique. See Tomlinson (1985):
Most modern comparisons between India and Japan, written by either Indianists or Japanese specialists, stress instead that industrial growth in Meiji Japan was the product of unique features that were not reproducible elsewhere. [...] it is undoubtably true that Japan's progress to industrialization has been unique and unrepeatable
So there you have it. Unsubstantiated statistical assumptions, calling any number you can a drain & assuming a counterfactual for no good reason gets you this $45 trillion number. Hopefully that's enough to bury it in the ground.
1. Several authors have affirmed that Indian identity is a colonial artefact. For example see Rajan 1969:
Perhaps the single greatest and most enduring impact of British rule over India is that it created an Indian nation, in the modern political sense. After centuries of rule by different dynasties overparts of the Indian sub-continent, and after about 100 years of British rule, Indians ceased to be merely Bengalis, Maharashtrians,or Tamils, linguistically and culturally.
or see Bryant 2000:
But then, it would be anachronistic to condemn eighteenth-century Indians, who served the British, as collaborators, when the notion of 'democratic' nationalism or of an Indian 'nation' did not then exist. [...] Indians who fought for them, differed from the Europeans in having a primary attachment to a non-belligerent religion, family and local chief, which was stronger than any identity they might have with a more remote prince or 'nation'.

Bibliography

Chakrabarti, Shubra & Patnaik, Utsa (2018). Agrarian and other histories: Essays for Binay Bhushan Chaudhuri. Colombia University Press
Hickel, Jason (2018). How the British stole $45 trillion from India. The Guardian
Bhuyan, Aroonim & Sharma, Krishan (2019). The Great Loot: How the British stole $45 trillion from India. Indiapost
Monbiot, George (2020). English Landowners have stolen our rights. It is time to reclaim them. The Guardian
Tsjeng, Zing (2020). How Britain Stole $45 trillion from India with trains | Empires of Dirt. Vice
Chaudhury, Dipanjan (2019). British looted $45 trillion from India in today’s value: Jaishankar. The Economic Times
Roy, Tirthankar (2019). How British rule changed India's economy: The Paradox of the Raj. Palgrave Macmillan
Patnaik, Utsa (2018). How the British impoverished India. Hindustan Times
Tuovila, Alicia (2019). Expenditure method. Investopedia
Dewey, Clive (2019). Changing the guard: The dissolution of the nationalist–Marxist orthodoxy in the agrarian and agricultural history of India. The Indian Economic & Social History Review
Chandra, Bipan et al. (1989). India's Struggle for Independence, 1857-1947. Penguin Books
Frankema, Ewout & Booth, Anne (2019). Fiscal Capacity and the Colonial State in Asia and Africa, c. 1850-1960. Cambridge University Press
Dalal, Sucheta (2019). IL&FS Controversy: Centre is Paying Up on Sovereign Guarantees to ADB, KfW for Group's Loan. TheWire
Chaudhuri, K.N. (1983). X - Foreign Trade and Balance of Payments (1757–1947). Cambridge University Press
Sunderland, David (2013). Financing the Raj: The City of London and Colonial India, 1858-1940. Boydell Press
Dewey, Clive (1978). Patwari and Chaukidar: Subordinate officials and the reliability of India’s agricultural statistics. Athlone Press
Smith, Lisa (2015). The great Indian calorie debate: Explaining rising undernourishment during India’s rapid economic growth. Food Policy
Duh, Josephine & Spears, Dean (2016). Health and Hunger: Disease, Energy Needs, and the Indian Calorie Consumption Puzzle. The Economic Journal
Vankatesh, P. et al. (2016). Relationship between Food Production and Consumption Diversity in India – Empirical Evidences from Cross Section Analysis. Agricultural Economics Research Review
Gupta, Shaibal (1980). Potential of Industrial Revolution in Pre-British India. Economic and Political Weekly
Raychaudhuri, Tapan (1983). I - The mid-eighteenth-century background. Cambridge University Press
Yasuba, Yasukichi (1986). Standard of Living in Japan Before Industrialization: From what Level did Japan Begin? A Comment. The Journal of Economic History
Tomblinson, B.R. (1985). Writing History Sideways: Lessons for Indian Economic Historians from Meiji Japan. Cambridge University Press
Rajan, M.S. (1969). The Impact of British Rule in India. Journal of Contemporary History
Bryant, G.J. (2000). Indigenous Mercenaries in the Service of European Imperialists: The Case of the Sepoys in the Early British Indian Army, 1750-1800. War in History
submitted by GaslightEveryone to u/GaslightEveryone [link] [comments]

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.
------------------------
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."
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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.
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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.
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☞ 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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DIGITAL GOLD TOKEN, THE BASIC STABLE COIN FOR INVESTORS

DIGITAL GOLD TOKEN, THE BASIC STABLE COIN FOR INVESTORS
Introduction

Indeed, even rich individuals nevertheless need ventures to shield their benefits from falling an incentive because of enlargement.
The importance of contributing will be higher for those whose lives depend upon a month to month compensation in particular. It is incautious to allow the belongings claimed just be inserted in close to home storage and now not to be searched for but an awful lot as could reasonably be predicted to shield the assets from enlargement.

Since with not anything to do with riches, at that point there's a shrinkage of the assets. One great develop to protect their property from dangers — future dangers and to enhance the fate of existence is a hypothesis. Speculations are the situation of cash or property with expectancies of obtaining extra or sure blessings at the coins.

https://preview.redd.it/k3mukir3g0c41.jpg?width=271&format=pjpg&auto=webp&s=13c7c1d4f699a233831ac7b915d31ec60ddc598c
The speculation law applies that the better the advantage offered then the higher the risk that buyers ought to endure. Investors should have continued misfortunes a good deal past what that might lose all his capital. Basic for the investor to decide his/her objective in contributing with the goal that it can select what sort of speculation to select.

Numerous styles of ventures may be utilized, but in this newsletter, the author talks about the hypothesis that the bigger element within the usage of buyers is gold. Gold is one of the maximum commonly utilized undertaking gadgets within the network.
This is because of the estimation of gold that is constantly expanding from the hour of your citizenship. Despite the truth that the expansion in esteem does not will in popular be sizable, gold is one of the long haul hypothesis devices worth considering.
Gold purchasing and promoting bureaucracy are easy whilst the network goes to provide the gold just want to attach verification of procurement with the easy method of deciding on gold an astounding choice for people to make contributions.

https://preview.redd.it/pyy9gnp5g0c41.jpg?width=318&format=pjpg&auto=webp&s=1db660ed7e01575850bbed7146c348c63de393ef
Talking about gold speculation, but does the peruser recognize whether gold mission presently may be in a complicated way within the feeling of unnecessary storing gold in the residence? This time the writer will talk about ventures that are as but diagnosed with gold contributing.

With the developing time, contributing gold presently ought now not want to spare it straightforwardly, currently you'll already be capable of make a contribution gold via Cryptocurrency this is at the fee of gold on the planet promote it, present a project that Between Cryptocurrency and gold.

The undertaking is referred to as Digital Gold, at that point what's Digital Gold?
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For what motive wouldn't it be a good concept so one can decide to position assets into Digital Gold?

https://preview.redd.it/5bdqcij6g0c41.jpg?width=284&format=pjpg&auto=webp&s=22c97fa919ad7c2fecfc8c1e7cddcf8ab59c01b2
What we understand is superior gold is similar to the physical gold we as of now have, but numerous points of interest inside the event which you put sources into Digital Gold, what are the benefits?

Extremely protected
On the off hazard that the per user has physical gold, the per user will most possibly feel befuddled about storing it, given that it's far harassed misplaced or in take. In any case, if the per user places sources into Digital Gold, the per user does not ought to strain over the gold that per users have, in view of the gold that per users Will be stayed with in a included safe.

Obscurity
Putting resources into Digital Gold per users just want to have a wallet cryptographic cash may be gotten on transportable or on a PC, and no person will recognize whether the per user has gold, in light of the fact that the idea of the Ethereum set up is very Anonymity, per users just Have a pockets deal with, no actual name or KYC confirmation is required to buy or sell Digital Gold.

Simple and easy
While having a physical gold per user might be hard to sell it, because it needs to release the car, and can't whenever sell it, in Digital Gold per users can buy or sell GOLD on every occasion and anywhere simply utilizing hand-held Smartphone Users, so there is no ought to be hard to put sources into Digital Gold.

Transparent
Its straightforwardness truly knows blockchain in every transaction, and in blockchain, innovation has the upside of being modest and short.

Stable
Try now not to befuddle, Digital Gold Token has a comparable charge as physical gold when all is said in carried out, 1 Token = 1 Gram gold with immaculateness charge 99.Ninety nine%, and one-of-a-kind advantages are at the entire GOLD tokens in the reinforcement by using unadulterated gold this is stored within the business enterprise distribution middle.

Every token is made by means of an Ethereum keen settlement, and the sum will constantly compare to the amount of gold stored inside the organization's stockroom.

Where might i be capable of buy and sell Digital (GOLD)?
Advanced Gold has simply been rundown in a few exchanges, and Digital Gold itself may be exchanged or bought within the site of the accompanying:

https://preview.redd.it/hry41ig4g0c41.jpg?width=271&format=pjpg&auto=webp&s=abfdca42c5f5398d90151f9ad35fd473fd2e081c
DIGITAL GOLD'S OFFICIAL MARKETPLACE

Digital Gold's true commercial center is an change this is spoken through Digital Gold on its legit website. You can go to it by way of the connection below:

CRYPTEX
A programmed management with which you could absolutely and rapidly change virtual forms of cash for electronic monetary paperwork and back with out enlisting. Purchasing and selling bitcoin and distinctive digital kinds of cash unbounded and confinements.
We work with money in eleven countries, financial institution playing cards, and electronic installments.

BITFOREX
One of the primary and most in style exchanges with a tremendous many dealers from all areas of the sector.
BitForex is an exceptionally first rate entire platform for trading and a authentic one-prevent advanced aid management platform.

For further information, do visit
Official Website : https://gold.storage/
White paper: https://gold.storage/wp.pdf
Telegram: https://t.me/digitalgoldcoin
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Author: cytpoway121 Link: https://bitcointalk.org/index.php?action=profile;u=2202709
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[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]

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

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

What is Genesis Vision?

Genesis Vision, from the site, is "the first platform for the private trust management market, built on Blockchain technology and Smart Contracts". Simply put, they are creating an easy-to-use app where people who do not know how to invest their money can give it to someone who does on a trustless platform. Think of it like a trust-less brokerage firm that is backed by blockchain technology and smart contracts. From the white-paper, there are 3 types of people on the platform:
The final GVT platform will have the forex, stock and crypto market all integrated onto one app. GVT's alpha release on April 1st will only include the forex market. Q4 of this year will then integrate crypto for their beta release. Finally, on their final product release, stocks will be added.

How is the platform trust-less?

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

How does it work?

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

How GVT is creating its own ecosystem.

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

Why invest with a manager?

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

Some thoughts + moonboy talk

Okay this is going to be pure moon-talk since I know that’s what drives most of you. To start, the team is most familiar with the forex market - which has a LOT of money in it - and that is what they will be implementing first on their Alpha launch on April 1st. Crypto implementation in Q4 2018 on beta release and then stock implementation in Q1 2019 on the full release.
Remember that REAL adoption comes when people are using applications built on the blockchain without knowing - something GVT will be doing. Look at Steemit. It is the most active blockchain by far - beating out Ethereum AND Bitcoin ( http://blocktivity.info ). Why? Because it’s smooth and functions like a normal website, despite its use of blockchain technology. I’m not saying GVT will automatically shoot up to the top, but actual use is what will determine any crypto’s success and Genesis Vision is looking like a really solid candidate right now.
On top of this, GVT’s CBDO (Chief Business Development Officer) was the founder of tools4brokers ( http://www.t4b.com ) so they have someone on the team with experience with a successful and working product. I’m not going to take a deep-dive on the rest of the team, but I highly suggest checking out the roadmap and the team (all but a few have linkdin profiles).
Now for the money. First, do NOT be fooled about GVT’s USD price. The price is so high because its token supply is very limited. It is roughly 1/6th the supply of Bitcoin’s meaning we would just have to get to 1/6th of Bitcoin’s market cap (around $25b) in order for 1 GVT to equal 1 BTC. It’s a stretch, sure, but it’s more possible than you think. To put it plain and simple, the forex, stock and crypto market altogether amount to upwards of almost $100 trillion.
GVT is a $100m market cap crypto trying to disrupt a $100 trillion~ industry with an easy-to-use, innovative and game-changing app
  • .001% of this market = $1 billion market cap (1,000% gains from now)
  • .01% of this market = $10 billion market cap (10,000% gains from now)
  • .1% of this market = $100 billion market cap (100,000% gains from now)
Huge disclaimer that just because we could reach these numbers, does not necessarily mean we will, but I see no reason why can’t hit a billion or even 10 down the line.

Conclusion

That’s pretty much it from me. Genesis Vision is a project I, and many others, are extremely excited about. It has a lot going for itself and with such a low market cap, it’s definitely something to at least throw on your watch- list. Hopefully this post didn’t come off as too much of a shill (aside from the last portion) and instead opened some people up to why GVT isn’t just “another shitcoin”. If I missed anything, don't be afraid to chip in! And I’d also be more than happy to try and answer any questions some of you may have but I simply ask that you take a look at the white-paper ( https://genesis.vision/white-paper-eng.pdf ) first as it is very user-friendly and would answer some of your questions better than I could.
Links
Website: https://genesis.vision/
Whitepaper: https://genesis.vision/white-paper-eng.pdf
submitted by DKill77x to genesisvision [link] [comments]

DIGITAL GOLD- A DISTINCTIVE INVESTMENT IN MODERN TIMES

DIGITAL GOLD- A DISTINCTIVE INVESTMENT IN MODERN TIMES

https://preview.redd.it/0xnufktuh5941.png?width=593&format=png&auto=webp&s=f7a58fb22228ffe58de3c10dc29a1c9969e9e98f
Presentation
Increasingly more Innovation Day Is Developing, Numerous Leaps forward Achievements are made with the impact of the occasions, numerous advanced investments have begun to be resounded, yet now safe investments are as yet dependent on Gold, however do you realize that Gold is presently in the Digital adaptation?
Presenting Digital Gold, Digital Gold is an Investment Achievement in Current Occasions.
Its a well known fact if gold is utilized as an investment. As you most likely are aware, the cost of gold will build each year. Gold is additionally viewed as a promising long haul investment. To make your gold investment progressively productive, you can utilize the ERC20 Gold token discharged by Digital Gold.
Token GOLD ERC20 will make it simple for you to spare, purchase, sell and even exchange gold investments digitally. For this situation, you don't have to stress over the decrease or even loss of the estimation of the assets. This is on the grounds that Gold token have an assurance of high security. Every gold token is connected to genuine gold with a sum that consistently coordinates the gold in the extra space. Every Gold Token ERC20 is equal to 1 gram of gold that has a purity of 99.99%. The measure of gold put away as a gold token can be effectively checked whenever. By executing a cryptocurrency framework, the acquisition of Gold token should be possible rapidly through Digital Gold authority site.
When making any exchange, you won't be accused of any extra expenses. You can make whatever number cryptocurrency exchanges as could reasonably be expected by the measure of Gold token you have. You can even utilize it to direct business exchanges.
Putting away gold as gold chips is in reality more productive than putting away it in distribution centers or banks. It isn't just a matter of comfort in the exchange yet additionally the issue of the report. The utilization of gold tokens will make you progressively productive and will appear to be down to earth.
Explanations behind the significance of utilizing GOLD Token ERC20
There are numerous reasons why it is prescribed to utilize Digital Gold token. Positively, the explanation is extremely useful for you. After the audit.
Look after protection
Investing in gold with Digital Gold Token enables you to look after security. As you most likely are aware, when you need to purchase or trade Gold, you ought to be approached to give your genuine personality. Be that as it may, not for the Gold Token. Gold token proprietors just need the wallet address they have.
High liquidity
Having a (cryptocurrency) encourages exchanges, yet additionally makes it conceivable to purchase and sell tokens with enormous sums. Where the worth can be as per market costs.
Property Assurance
It is unquestionable that gold turns into an important asset, just as a gainful investment. Its worth can last a large number of years. Moreover, the buying influence level of gold likewise didn't change, so it is fitting whenever used to store riches. Be that as it may, poor market conditions can meddle with gold investing.
In any case, the presence of a gold chip connected to physical gold can avert misfortunes because of poor market conditions. Gold tokens can be acquired, sold or even moved rapidly. In this way, your portfolio will be all the more encouraging.
Protection
Another explanation it is prescribed to invest in gold with the Digital Gold token is protection. Digital Gold ensures all Gold chip proprietors with full protection. Where Chubb Protection utilized protection originates from. It would be ideal if you note that Chubb Protection is truly outstanding and biggest insurance agencies.
With protection, you don't have to pay more if something sudden happens later. All dangers will be borne by the protection administration. Digital Gold protection will give the absolute replacement esteem. You can invest securely, easily and discreetly. The outcomes are additionally unquestionably enticing.
No hazard
It is getting progressively fascinating to utilize gold tokens since gold stockpiling has no hazard. It is extraordinary on the off chance that you store gold autonomously which is helpless against robbery, misfortune and different risky dangers. By utilizing Digital Gold Tokens, you can make investments in gold easily and beneficially.
Where would i be able to purchase and sell Digital (GOLD)?
Digital Gold has just been rundown in a few trades, and Digital Gold itself can be traded or sold in the site of the accompanying:
DIGITAL GOLD'S Authentic MARKETPLACE
Digital Gold Marketplace
Digital Gold's authentic marketplace is a trade that is spoken by Digital Gold on its official site. You can visit it by means of the connection beneath:
Cryptex
A programmed administration with which you can undoubtedly and rapidly trade digital forms of money for electronic monetary standards and back without enlisting. Purchasing and selling bitcoin and different digital forms of money unbounded and confinements. We work with money in 11 nations, bank cards, and electronic installments.
Bitforex
One of the main and most in vogue trades with a great many dealers from all locales of the world. BitForex is a profoundly respectable complete platform for exchanging and a genuine one-stop digital asset administration platform.
Livecoin
Livecoin is an advanced, safe Exchanging Platform for getting to cryptocurrency trade markets with straightforward interface and low exchanging expenses.
For more information about the project visit:
Website: https://gold.storage/
Whitepaper: https://gold.storage/wp.pdf
ANN Thread: https://bitcointalk.org/index.php?topic=5161544
Telegram: https://t.me/digitalgoldcoin
Medium: https://medium.com/@digitalgoldcoin
Reddit: https://www.reddit.com/golderc20
Twitter: https://twitter.com/gold_erc20
Bitcointalk username: ryan619
Bitcointalk profile link: https://bitcointalk.org/index.php?action=profile;u=2307679;sa=summary
submitted by ofontex to Crypto_Talkers [link] [comments]

Mainfinex: The Panacea to the Future

Mainfinex: The Panacea to the Future

Mainfinex

MAINFINEX offers a trusted exchange that crypto traders can use to make informed trades and participate in the cryptocurrency market. At the time of launch, MAINFINEX offers 15 different cryptocurrency pairs, all of which include USDT. The MAINFINEX cryptocurrency exchange offers something for every type of trader, regardless of experience level. Beginners will appreciate the intuitive interface and the fact that MAINFINEX uses Tradingview charts, which have numerous online tutorials for guidance. Advanced traders will appreciate the hundreds of drawing tools, the vast quantity of indicators, and high level of customization for charts.
Challenges faced by cryptocurrency exchanges today:
● Failure to apply global financial practices, and poor interface
● Large number of exchanges with little differentiation which complicates the choice of platform for operations
● Large number of unsuccessful traders losing money
● Pain points that are still there.

Exchange
Our understanding of the needs of the key trading parties in digital exchanges comes down to the concept “Traders seek liquidity and investors need profitability.”
  1. Liquidity and profitability
A mechanism we could build in to solve the problems of traders and long-term investors based on the exchange policy related to
trading fees:
  • Flexible interest rate depending on the volume, thus reducing the trading fee. The more activity in a trading section, the cheaper it is for that section
  • Fees reduced in case of severe price deviation. To reduce volatility and slippage and thus increase liquidity, market-making traders creating liquidity will be charged at a lower rate. The increase in volumes triggered by the reduced fee in case of price deviation will help smoothen out volatility.
  1. Reliability
Traders bearing losses have a regressive fee scale depending on the volume of the loss. This mechanism serves to mitigate the consequences of unfavorable deals for a trader.
  1. Sustainability “Back to the battle” Traders who have lost money but made it to the daily TOP 100 based on the volume will receive tokens compensating all the fees they paid or part of the losses. This will help stimulate liquidity in the exchange and create best cryptocurrency market conditions for arbitrage funds. Such funds account for up 80% of transaction in fiat exchanges.
  2. Concept: gaming elements of the exchange, buttons, etc. “Titles and statuses” With the emergence of cryptocurrencies, the world of finance has been transformed. It has to be clear and relevant for our users since the key audience of the exchange is 25-38 years old. Which means they played DOOM 2 when they were school students (in 1994). Why can’t we give simple names to complex financial instruments? It was the stunts and dirty tricks that guys in suits from investment banks played that eventually caused the mortgage crisis. We have selected the most popular financial instruments that we can provide. They can be understood and activated in one click. We have chosen simple names for them:
● "Forecast”
This button activates an analytical indicator used by most profitable traders
● "Call for help”
Activates a trading robot that will close transactions for you based on algorithms. Trading robots will be provided by successful third party funds
● "Stop me”
Block trading activity for two days. This is a mechanism that successful traders recommend to newbies. Breaks in trading activity help increase the accuracy of decisions and overall profitability
● "Join the group”
This function lets the user transfer money to a pool of professional traders. Similar to PAMM accounts in forex companies
● “Saving up for retirement”
10% from each profitable transaction will be automatically transferred to the annual/call deposit. Many experienced traders who work for themselves do not care about savings because trading is a constant source of big income. Having such a long-term deposit is one of the key ways to ensure security and can even save a family in the bad times
● “Work for us”
Traders without substantial deposits but with free working hours can make money by performing important tasks for the exchange, like in Amazon Mechanical Turk
● “Vanity fair”
Most successful traders may share their divine trading strategies in a master class for traders, with payment in our tokens.
  1. To benefit from certain options like the trading robot or funds management, users will be required to perform specific actions, e.g.: Purchasing exchange tokens. Equivalent free options: e.g., reposting our news daily throughout a month, which will also help expand the user’s subscriber base.
  2. Purchasing liquidity from “mini exchanges”
A partner exchange that will provide liquidity for trading in our exchange or display our depth of market diagram on its website will receive all the relevant fees collected in our tokens. This is how this mechanism works. Mini exchanges have a permanent audience of traders creating liquidity but due to the small volumes, the mutual liquidity among the participants is low and transactions are infrequent. This is a case of “the chicken or the egg” problem. The more users there are, the more frequently the transactions occur between the same users. Accordingly, a mini exchange will be able to increase the volume of fees collected by 3-4 times by using this opportunity.
  1. IEO sale
A shopping cart with all kinds of tokens. Includes both potentially successful and unsuccessful coins that cannot afford to pay the listing fee on their own. We collect the entire pool in a cart and sell it as one portfolio at a greatly reduced price. This gives unsuccessful ICO projects an opportunity to return part of the invested funds. And the users buying such assets at a rate below the cost level have more chances of profiting from price growth. The higher risk of unsuccessful projects in the portfolio compensated by the low price and the potentially high profitability is the key incentive.
  1. Exchange Tutorial
Just like in complex computer games such as urban construction simulators or turn-based strategies, at the first stage the player is taught how to use the game’s functionalities before he starts playing it in the full mode. Finance and cryptocurrencies have never been simple. Every individual financial instrument is based on a complex concept. The simplicity of starting to trade cryptocurrencies and the lack of regulation in the market result in a situation when most traders lose their money and investments. The tutorial works the same simple way, providing prompts on the sequence of the steps in the exchange. We will cooperate with several financial regulators to improve this instrument in order to develop new instruments that will help mitigate the risk of losses for each individual trader. At the end, many of the regulators’ tasks come down to managing the consequences of the great financial gap between trading parties.

Information correct at time of going to type. For updated information, go to Mainfinex Exchange web platform (Mainfinex Exchange website).
Note: In the event of conflict between this information and the information on the Mainfinex Exchange Website, the information on the Mainfinex Exchange Website will prevail.
Here, I present to you Mainfinex- The Future of Cryptocurrency Exchange, Mainfinex!!!
Mainfinex Exchange website
Mainfinex Exchange WhitePaper
ETH Address: 0x49d576e54C78e17E4451E7eF9f1d9C8e55360661
Email Address: [[email protected]](mailto:[email protected])
submitted by Busganda to CryptoCurrency [link] [comments]

How I use Volatility to my advantage (UK US open, late US etc)

[Only applies to M30 and lower]
What is volatility?
Volatility is the degree of variation in price of a given asset on a defined timeframe. When price moves quickly, market volatility increases. When price consolidates, market volatility decreases (simple definition). It is like the speedometer in our cars.
I usually add an Average True Range (ATR) on my charts to gauge approximately market volatility or market nervousness. However, it is not necessary, when you look at a chart you are able to tell if price is spiking, trending or consolidating.
Volatility is part of any strategy. It gives an expectancy toward future price action. In general, when market volatility is low, we expect significant support and resistance levels to hold price in a range. And when market volatility is high, we expect price to break these levels.
Volatility patterns
Fortunately, in the Forex market, daily volatility is predictable. We tend to see volatility peaks around major markets openings, which are the New York Stock Exchange (NYSE), the London Stock Exchange (LSE) and the Japanese Exchange. At the late hours of these markets, volatility tends to decrease.
These fundamental patterns are the most exploitable patterns in the Forex market. Yes, at least more exploitable than deceitful technical signals you are looking for. And they happen almost every day. However, there are exceptions. For example, we do not expect volatility peak to happen when countries of these big markets are on bank holiday.
EURUSD hourly volatility
The chart above shows the 4-weeks hourly volatility for the EUUSD pair. It is the average in pip of the difference between the highest and the lowest price of each hour of the day, over four weeks. Each bar represents the average in hourly range over four weeks.
There are two major peaks corresponding to the LSE and the NYSE openings.
Since the EUUSD is the most traded pair, we consider its volatility as "market volatility". In fact, the hourly volatility chart of the other pairs gives approximately the same pattern.
USDCAD hourly volatility
These charts were taken in May 2016. Take a look at Mataf.net’s volatility tool and type four (for four weeks) in the entry box. You will see approximately this same pattern in hourly volatility, with the two major peaks (UK and US opens) and decreasing volatility starting from the mid-US session. (Currently the pattern is disturbed by the brexit monster volatility, it will become clear again within few weeks)
We also have decreased volatility during the Asian session when there is no major news release coming from the Reserve Bank of Australia (RBA) or the Bank Of Japan (BOJ).
Asian sessions
These charts tell us market volatility is predictable. This leads us to define two principles:
First Principle: Around major markets openings (active time), market volatility tends to surge. We expect to see range breakouts, spikes or rallies. It is the best time to trade breakouts i.e., buying new highs and selling new lows.
Second Principle: During the late hours of major markets sessions and when major markets are closed (quiet time), market volatility tends to decrease considerably. We expect to see trading range or congestion in price action. It is the best time to range-trade i.e., buying the lows and selling the highs.
principles
Any trading strategy or system has to adapt to these variations in volatility to perform over time. If you are struggling with a particular strategy, maybe you are ignoring these changes in volatility.
How volatility patterns can help in improving your trading?
One cannot apply a strategy any time and expect to be profitable. When we simulate an automated and intraday trading system over three months without time filtering, we will notice the system is only profitable at certain hours of the day. This simply reflects intraday volatility variations.
You have to determine if your trading strategy is a trend following method or a range trading one.
If your strategy is a trend following approach, you will want to only trade around major markets openings to maximize profits. Otherwise, you will tend to give back profits as price slows down in the mid-session and market volatility decrease.
If your strategy is a range trading or reversal approach, you will want to only trade during quiet market time and avoid trading around market openings or around news releases.
Less trades maximize profits. Most of my trading sessions last less than one hour.
I made a portable document of this.
submitted by alm_hd to Forex [link] [comments]

Bitcoin 1.0 vs 2.0 – or – A Comparison of Legacy Exchanges & Veritaseum's UltraCoin

Veritaseum is looking for liquidity providers to assist in kickstarting the world's first global P2P exchange. If you have a healthy stash of BTC, please contact us to discuss.
I was looking at the offerings of a large US bitcoin exchange just now, after hearing that Coinbase had the highest volume of any US-based broker just weeks after opening an exchange (we’ll discuss that at a different time, since Coinbase is waiving fees meaning those users are hot money, but likely are part of the largest installed bitcoin user base in the world and growing rapidly). What I found was illuminating, at least for me since I don’t follow the offerings of BTC brokers and exchanges that closely. I noticed several of the industry (BTC exchange) leaders offer leverage, plain vanilla swaps and TRS (total return swaps - basically fixed/variable rates in major fiat denominations for cryptocurrency (BTC. LTC, DRK) exposure). I said to myself, “Wow, that’s pretty advanced.” Then I looked at the fees, and saw the swaps were priced up to and past 15%. Then, upon further research, I realized that these swaps were financing mechanisms for margin lending. The first thing that came to mind was the difference, and limitations that come with the business models of first generation bitcoin companies and second generation Bitcoin companies. Take notice in the difference of the capitalization. Lower case "b" denotes the accounts of value that the mainstream media calls digital currency. Upper case "B" denotes the blockchain-based, protocol driven services and capabilities behind the lower case "b". Generation 1.0 v. generation 2.0!
To put this into perspective, Veritaseum's UltraCoin offers user programmable swaps (ie. you can make your own CDS, TRS or plain vanilla, or even a custom swap) with exposures to not just 3 cryptos and 3 or 4 fiat currencies, but all major and most exotic currency pairs (dozens) as well as over 45,000 tickers covering EVERY major asset class (stocks, bonds, forex & commodities as well as cryptos) from exchanges throughout the world. This is all capable at a sliding scale of 10 to 25 basis points, round trip. That's the equivalent of 5 bp to 12.5 bp per trade. In addition, all of this is done without UltraCoin having any possession of your funds, whatsoever. Veritaseum (the company behind UltraCoin) is a software concern, not a financial entity, thus you have no exposure to our balance sheet. We cannot MT. Gox you and you essentially have no counterparty, default or credit risk because your counterparty is the blockchain, and you trade peer to peer vs. through a centralized exchange. Pretty big difference from the legacy systems that we're all used to, no?

The Difference between Bitcoin 1.0 and Bitcoin 2.0 Companies

To begin with, I'd like to make clear that not only is the title misleading, but all references to the same are essentially inaccurate. Bitcoin itself is still in beta stage (0.9x) thus its not accurate to refer to 1st and 2nd generations of bitcoin businesses. If anything, we're all in beta. Now that I've gotten that off of my chest... The first bold generation of bitcoin entrepreneurs (it's amazing that you can refer to companies born 2 and 3 years ago as a previous generation, it just goes to show you how fast this space is moving!) built businesses based upon bitcoin as a legacy commodity. Basically, they bought, sold, transmitted or transferred it as a unit of value. They did this because that's how everything was done for the last several thousand years in the financial services industry. Basically, they had no choice - or so they thought. Then came those who read the Satoshi whitepaper and the bitcoin wiki and saw a very different meaning. My team and I are among those entrepreneurs. We saw that bitcoins were malleable, programmable, tools with which one can use to paint upon the canvas of value. A far cry from the moving of static financial widgets from place to place. Think of moving bitcoins around (bitcoin 1.0 companies) vs programming bitcoins to act on their own according to their contractual owner's wishes (bitcoin 2.0 companies) akin to pushing a model T Ford around town vs. programming your driverless electric Tesla to go by the grocery store to pick up some fresh produce before swinging by the school to pick up your kids on the way home to meet you to take your wife (girlfriend?) out to dinner.

A Real World Comparison of Bitcoin Companies

Tickers Available

Veritaseum's UltraCoin: ~45,000+
Asset Classes Available
Veritaseum's UltraCoin: Stocks, Bonds, Commodities, Forex, Cryptos and many indices
Costs Veritaseum's UltraCoin: up to 25 bp round trip for all products (primarily smart contract swap driven)
Leverage available: Veritaseum's UltraCoin: up to 10,000x, with finite digital P/L parameters (no margin calls, no negative account drawdowns)
How does Veritaseum do it? We program the bitcoin to act according to a mutual agreement between two or more parties, then send it to the blockchain to act accordingly. These agreements are self executing, unbreakable promises known as "Smart Contracts". In this case, they are highly customizable, P2P OTC swaps, but we are working on a multitude of other products, services and solutions as well. We also supply very high level, unconflicted, independent and impartial strategy and research for our customers. Since we don't use our balance sheet and we don't act as a principal, we have no incentive to skewer the research in any particular direction.

Smart Contracts as Transaction Vehicles: The Safest Possible Way To Exchange Value

Veritaseum's UltraCoin BTC-based smart contracts are: 1. highly flexible - you design your own derivatives yourself using your own parameters via our simple graphical user interface 2. self-executing 3. autonomous 4. unbreachable: we call them, the unbreakable promise! They are backed, fortified and stored by/on the Bitcoin blockchain itself 5. uber-transparent: simple click the "trace transaction" button to find the location and historical travel path of your assets anytime, from anywhere you have an internet connection

Trading Through a Balance Sheet-Based Financial Institution vs. Distributed, Decentralized, P2P Software Concern

What I do want to accomplish is the education through the fact that the Bitcoin protocol has given rise to the genesis of a new type of company, with a new business model that can offer a totally new type of product. As you were able to see from above, Veritaseum's UltraCoin offers a very uniquer product with many if not all of the attributes that potential competitors offer, with a slew of attributes that others can't touch. This is done at 1/150th of the price and at much less risk! When dealing with Veritaseum's UltraCoin, you can never get Gox'd because we never have (nor do we want) possession of your coins or fiat - every, at any time. Because we don't user our balance sheet (we are a software company, not a centralized exchange or brokedealer) you:
This is just the beginning of what is capable with bitcoin (and this is pure bitcoin, not altcoins, no tokens, no sidechains, just pure, old fashioned [at least as old as it can be considered] bitcoin) and 2.0 business models. Wait until you see the new stuff we'll be rolling out.
I implore you to download our:
There's also a lot of BTC industry research available for download as well as our blog which has some of the best fundamental and macro research available on the web. Hardcore traders, investors and speculators should check out my latest piece: It's All Out War, Pt 3: Is the Danish Krone Peg to Euro More Fragile Than Glass Beads? The Danish National Bank Infers So!
Any bitcoin-rich individuals or entities looking to provide liquidity to the system, individuals/compamies who wish to partner, accredited investors looking for a piece of the action (you have to be willing to sign and NDA, we are quite open to working with anybody), or those who simply want to shoot the breeze should feel free to contact us.
Bitcoin 2.0 An example of an UltraCoin smart contract summary
Here's some info about me, my team and what we're doing at Veritaseum:
submitted by Reggie-Middleton to BitcoinDerivatives [link] [comments]

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

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

Top Submitters' Top Submissions

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

Top Commenters

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

Top Submissions

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

Top Comments

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