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[Guide] Hal-hal esensial yang wajib dimiliki mahasiswa.

Selamat pagi! Salam mahasiswa!
Terinspirasi dari komen-komen di thread gua sebelumnya, gua ingin compile beberapa must-have tools, stuff, and websites untuk kalian yang baru saja jadi mahasiswa atau sedang menjalani studi.
Gue akan memisahkan ke beberapa kategori, yaitu Wajib Punya, Wajib Punya Untuk Anak [Jurusan], Boleh Punya, Cukup Tau, dan Jangan Pernah Sentuh. Dalam kategori tersebut akan diisi dengan kombinasi apps, website, dan alat-alat fisik. Untuk yang bersifat bajakan, sorry to say gua gak akan link di sini, kecuali Sci Hub atau Gen Lib.
Bagi redditor yang bukan anak psikologi, tolong bantuin gua ya dengan comment berisi suggestion kalian.

WAJIB PUNYA

  1. WhatsApp, LINE, dan sometimes Telegram. : Ya menurut lo aja deh, hari gini masih SMS?
  2. Flash drive : Get an 8GB stick, walaupun sekarang udah serba digital, kadang dosen masih minta print-out tugas. Plus, tukang fotokopi pasti sibuk dan gak ada waktu buka e-mail (walaupun ada), akan lebih praktis kalau data yang mau lo print atau submit pindahin dulu ke sini. Side note : Untuk anak DKV, Arsitektur, Desain Produk, Musik, dan Film, sepertinya kalian wajib beli external hard-drive minimal 500GB. Kalau bisa SSD ya, biar file terus protected (tapi agak mahal).
  3. Google Drive dan isinya (Sheets, Docs, Draw, Slides) : Lo akan mobile for most of your campus life, GDrive gunanya bukan hanya sebagai backup tapi sebagai base of operations dari perkuliahan lo. Separate folders into semesters, lalu di dalamnya bikin folder per matkul, dan di dalamnya pun ada folder buku, tugas, class notes, and etc.
  4. Google Calendar : Start planning through this app. Its highly underrated and I suggest you take time and learn how GCal works. Most people only use this after they started working, getting a head start is always better.
  5. Mendeley atau reference manager lain : Lu akan menghabiskan waktu 4 tahun baca artikel ilmiah, kadang mereka suka aneh formatting filenya kalo di-download dan mereka udah pasti gak appealing untuk di-save di laptop. Mendeley cuts off all of the problems and puts all of your references in one place. (Available on desktop and mobile)
  6. Google Scholar : Berhubungan dengan sebelumnya, Google Scholar akan menjadi wikipedia elu di perguruan tinggi. You will access this site almost every day in uni.
  7. Genesis Library : Adalah perpustakaan terlengkap di jagad internet. Gak usah beli textbook kalau lu gak mampu, download aja di sini.
    1. Side points : Perpusnas punya akses e-book gratis pula, mostly koleksi mereka ada di situ. Appnya bisa dicari di Google Play Store (iOS setau gua belom ada).
  8. Sci-hub : This is the scalpel of academia, the tool of a true mahasiswa. Sometimes lo akan ketemu artikel yang BAGUS, tapi sayang lo harus bayar ke publishernya. Nah, this bypasses that and you can have the PDF for FREEEEEEEEEEEEEEEEEEEEEEEEEE. Add extensionnya https://github.com/allanino/sci-hub-fy
  9. E-book manager like Calibre (for PC and iOS) and Aldiko (for Android) : Pretty self-explanatory karena most of the time mahasiswa tingkat awal itu gak tau cara manage folder di laptop.
  10. m-Banking app from your bank : Sekarang apa-apa sudah serba digital, belom lagi kalau lo butuh bayar-bayar atau patungan sama temen. Dengan adanya mbanking app, lo udah gak butuh ke ATM. Bahkan, sekarang mbanking bisa bayar ke OVO, Gopay, or Shoppee Pay lewat QRIS.
  11. Go-Jek or Grab (and OVO) : Kemana-mana dan bayar apa-apa lebih gampang.
  12. Kartu emoney, Flazz, Brizzi, dan sejenis : Silahkan beli salah satu dari kartu ini untuk kalian yang harus menggunakan moda transportasi seperti KRL atau Transjakarta. Plus, very handy untuk beli air putih di Indo/Alfamart. Kalau bisa yang satu jenis dengan bank kalian, agar top-up dapat dilakukan secara mudah di ATM atau app mbanking (bagi yang memiliki NFC hpnya)
  13. Cheap OEM earphones : You will have some solace from annoying pieces of shit when you're reading or doing assignments. Browse through any ecommerce site and search for "headset samsung/iphone grosir" and buy 10.
  14. Masker : Well, duh.
  15. Zoom/Skype/Hangouts/Microsoft Teams : Please check on your faculty's specification, sekarang lagi pandemi and I don't think you guys are going back to school any soon.
  16. Powerbank : Trust me, you will forget to charge your phone. One powerbank on the ready will be a life saver, especially during late nights.
  17. OpenOffice or LibreOffice : I do not condone the piracy of a certain word processing software. Get open-source and just relax. Alternatively, you can go all-out with Google's existing apps inside Drive.
  18. JASP : I also do not condone the piracy of a certain statistics software.
  19. Canva : Untuk anak-anak non-design yang gak bisa design, ditambah gak punya duit untuk hire designer (ya menurut lo), please take time to learn Canva. I would recommend GIMP a few years ago, but Canva has been gold standard of designing for non-designers.
  20. Sumatra Reader : Lighter and more superior version of Adobe Reader.
  21. 7zip : Lighter and superior version of WinRAR.
  22. CamScanner : For scanning documents. Available on iOS and Android
  23. Condoms : Just, bring it.
  24. Kartu Perpusnas
  25. MSDN : Kadang Microsoft kerjasama dengan kampus, check on your faculty.
  26. Tar tambah lagiiiii.......

WAJIB PUNYA UNTUK ANAK.....

Teknik
  1. Kalkulator scientific : Bisa cari di toko buku atau e-commerce. Get Texas Instrument or Casio.
  2. KOPI SACHET
  3. Meteran
  4. nanti kali ya
Arsitektur
  1. Kopi sachet yang banyak
  2. Kotak P3K
  3. Penggaris segitiga atau meteran
MIPA
  1. Graphic Calculator
Psikologi
  1. APA Publication Manual : Sebagai S.Psi gua akan menekankan PENTINGNYA MEMILIKI PDF INI DI SEMUA DEVICE ELU. Pelajarin dan cross-check semua style tulis dengan editorial style APA. Dosen PASTI BAKAL PERIKSA GAYA TULISAN ELU DENGAN APA.
  2. KBBI : Dosen Psikologi paling terkenal dengan penulisan dan artikulasi kata, tolong pelajari bentuk baku kata-kata bahasa kita.
  3. 3D Brain : Untuk bantu Psiko Abnormal dan Faal.
Hukum
  1. Buku KUHP dan KUHPER, e-book or printed.
  2. Black Law
  3. UU yang berkaitan dengan kelas, e-book or printed.
  4. Printer dengan tinta isi ulang alias nyuntik
CompSci, Teknik Informatika, or Sistem Informatika
  1. Git Student Pack

BOLEH PUNYA

  1. Spotify Premium : Check if your school is eligible for student discount! I do not condone using modified APK for Spotify Premium.
  2. Audacity : Boleh lah punya kalau mau coba-coba bikin podcast.
  3. Da Vinci Resolve : Kalian akan sewaktu-waktu dapet tugas buat edit video, either untuk kelas atau organisasi. Ini software open source yang lumayan powerful untuk editing.
  4. SSDs for laptops : This is me speaking from experience, you'll need this if your risk of being in an accident is high. Upgrading to an SSD is 0-1, not only you get great booting and transfer speeds, but your data is almost always protected if amit-amit ketabrak atau laptop kenapa-napa.
  5. Powerstrip : Ini bisa wajib, bisa enggak. Kadang berguna kalau kalian nugas di cafe, tapi kalian gak mati juga kalau gak punya.
  6. Write Monkey : Ini dapat meng-enhance pengalaman kalian menulis, gue menggunakan program ini saat skripsi. Fungsinya cuma satu : Biar nulis lebih enak. Cocok bagi yang jurusannya rajin ngetik. Again, lo gak akan mati kalo gak punya ini.
  7. Eventbrite : Cocok buat yang pengen cari group activities atau seminar gratisan.
  8. TIX.ID : For the time being, jangan ke bioskop dulu. Tapi TIX suka banyak promo buy1get1. Lumayan buat irit duit.
  9. Trello or Asana : Nah, sebenarnya ini wajib untuk orang kantoran (depends industrinya), tapi menurut gua kalau kalian coba aja pelajarin agile project management, mungkin performance group akan lebih naik. Ditambah ini lagi pandemi, nugas akan lebih gampang menurut gua dengan ini. Kakak-kakak yang udah kerja di kantor agile pasti bisa jelasin.
  10. Jobstreet, Kalibrr, JobsDB, Glints : For work opportunities.
  11. Halodoc : Truth be told, this app have saved my life multiple times. I would suggest a healthy diet, but having this on your phone will not hurt one bit.
  12. Pisau lipat Victorinox : Handy untuk yang berencana jadi anak alam atau bocah camping. But basically handy untuk segala situasi, sih.
  13. Aplikasi sekuritas : Bisa mulai belajar, setau gua macem MNC Sekuritas bisa mulai trading dengan Rp100.000.
  14. Discord : Lumayan handy untuk jadi basis chat angkatan. Tapi, mereka lebih cater ke gaming crowd, walaupun fiturnya sebagus Slack Enterprise, tapi entah kenapa susah banget penetrate mainstream user.
  15. To be added later...........

CUKUP TAU

  1. Netflix : Bisa patungan sama temen-temen. I don't suggest buy shady accounts.
  2. Premier League app : Seru loh bikin liga fantasy sama temen-temen.
  3. GrabKios : Lumayan bisa jual pulsa di kampus.
  4. Saran minum oleh theblackmandarin
  5. To be added later...........

JANGAN PERNAH SENTUH

  1. Kredivo dan any P2P lending app : Tolong banget jangan kejebur sama trap ini. Kalian masih mahasiswa, belom punya penghasilan tetap.
  2. PayTren or any other MLM apps : Idem
  3. Judi bola : Idem.
  4. Rokok : Idem
  5. Forex/Crypto : Idem
  6. Dota 2 : Udah gak usah sentuh.
  7. Mobile Legend : Buang-buang waktu push rank, IP lo gak naek juga.
  8. Amfetamin : Gak baek ngedrug muda-muda.
  9. Red Bull : Gak baek, bisa gak tidur.
  10. Kopi ABC/78C/botolan : Ini sama kayak Red Bull, udah pasti gak tidur.
  11. To be added later...........
Segitu dulu guys, tolong ya kakak-kakak yang sudah lulus mohon ditambah. Terima kasih!
EDIT 1 : Nambahin banyak BUANGET. Thanks mie-sedaap elonelon theblackmandarin debukosmik JanganLupaSkripsian didunianyata ysupr selemenesmilesuponme ichhassesommer ANJINGHARAM AnjingTerang lukuntul imamsupriadiBPK pm-me-your-nenen
submitted by roflpaladin to indonesia [link] [comments]

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
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Everything You Need to Know About WaykiChain

Everything You Need to Know About WaykiChain
https://preview.redd.it/6gvkwst0chw11.png?width=880&format=png&auto=webp&s=8e34f501819e16b6c2c286b9c02c9f357a15ba0a

What is WaykiChain?

WaykiChain is a block public chain focusing on blockchain technology development and related operations. WaykiChain has positioned itself as an infrastructure that is based on both Ethereum and Blockchain, intending to trigger a collective growth of different industries by presenting an enterprise solution.

Determined to build a world-class decentralized platform and ecosystem, WaykiChain launched the first smart-contract-based game prediction DApp in May 2018 with over 130,000 install volume, token WICC listed in 100+ exchanges, peaking at $3, community members over 300K, is believed to be innovating a new business model in the new era.
WaykiChain, a team focused on blockchain industry’s foundation and application development, now consisting of nearly 70 people, with core members from world-renowned companies such as Alibaba, Tencent, Morgan Stanley and Intel, is hoping to ultimately achieve an ecosystem that everyone can participate in the building and share the results.

Where is WaykiChain Heading?

The future of WaykiChain is a big community-driven public chain ecosystem. WaykiChain aims to build a decentralized application platform that can provide users with complete on-chain smart contract system. Anyone can realize their business ideas on WaykiChain and develop their own DApp, and build their own brands.
WaykiChain takes decentralized prediction, assets trading and forex trading as entry industries to expand markets in the early stage. After accumulating plenty of application users and developers, WaykiChain will gradually perfect its upper blockchain applications.
Currently, WaykiChain tech team is focusing on underlying public chain development. WaykiChain will provide friendly development environment to developers with sufficient development templates an interfaces. Besides, WaykiChain team plans to take a part of WICC as reward those developers who have made important contributions to the community. WaykiChain is committed to building an underlying technology platform that truly integrates blockchain application and real business. Along with its development, WaykiChain will gradually grow into a big ecosystem with totally decentralized operations, and brings the convenience of blockchain to every user.

Further Reading

White Paper
WaykiChain white paper is in update now, and will be available soon.
Huobi Project Center
https://www.huobi.br.com/projectcenteproject/?id=91&utm_source=Marketing&utm_medium=Referral&utm_campaign=WICC
Waykichain Developer-Friendly Community
http://www.waykichain.com/announcement.html?id=887

WaykiChain’s Technology

Consensus Mechanism
Delegated Proof of Stake (DPoS) is a consensus algorithm maintaining irrefutable agreement on the truth across the network, validating transactions and acting as a form of digital democracy. Delegated through token holders’ vote, ledgers nodes will package all the transactions in the block and get corresponding reward. DPOS can maximize token holders’ interests and network performance, meanwhile minimize the maintenance and operation costs.
WaykiChain adopts DPoS, which is the most adaptive consensus mechanism for developing and operating applications on chain. The block is successively generated by 11 ledger nodes. Every 10 seconds, a new block will be generated on WaykiChain. Verified by WaykiChain mainnet operation, the transaction confirmation speed can reach 1000+tps.
Vote Mechanism
WaykiChain adopts DPOS consensus mechanism with 11 ledger nodes. When a block is generated, a node is elected with the most votes according to random perturbation algorithm from the 11 nodes. Then ledger node gains all of the transaction fee in its ledger block. Users can get proportionate votes by locking their WICC. Every node can be cast for 11 candidates at most. Every voted user will be awarded proportionate interest. When users’ corresponding accounts’ votes changes, the interest from voting will be received automatically. The first year’s rate of interest is 5% and it will decrease 1% annually during the following years. Finally, the annual rate of interest will be fixed at 1% permanently.
Smart Contracts
WaykiChain is a smart contract platform that supports Turing devices. These smart contracts can help in a variety of real-world applications including copyright issues, decentralized exchanges and asset problems. It adopts DPOS consensus mechanism, sets up 11 voting nodes, and generates a new block every 10 seconds. According to detailed calculation by WaykiChain team, currently, the confirmed transaction speed can reach 1000+tps.
WaykiChain’s smart contract can be built using the programming language Lua. Lua was developed in the early 1990s and has an extensive developer community. It has been used in desktop development, web development and the Internet of Things. It also is one of the easiest programming languages and hence it provides an incentive for developers to code on WaykiChain’s platform.
Sidechain
The most popular smart contract cryptocurrency Ethereum, failed when Cryptokitties were released. Ethereum’s network was unable to handle the massive influx of users. Thus, scalability remains a huge problem. Fortunately, WaykiChain has a feature known as sidechains which can deal with huge amount of users. Applications built on WaykiChains will have their own sidechains and they are not linked in any way to each other.
WaykiChain Ecosystem Development System
WaykiChain ecosystem development system is driven and co-developed by three parties: WaykiChain core developers, open source community developers and business developers. In the decentralized system, WaykiChain team will provide technical standards and community contribution incentives to ensure that the entire ecosystem moves forward as a whole. On the basis of the underlying public chain, plug-ins, and smart contracts, business developers are able to develop applications efficiently and build their own brands with blockchain’s credit endorsement.
WaykiChain plans to establish Technology Research Academy to gather a group of outstanding developers with decentralized blockchain beliefs. WaykiChain will provide underlying technology support and standards. Developers in the academy can free communicate, learn from each other and co-develop a fully decentralized community.
Ecosystem Layered Architecture
WaykiChain technology stack consists of four layers: the core node layer, the wallet node layer, the application platform layer, and the DApp application layer. Any developer can choose which layer to start development based on their own development capability, business needs, and application flexibility needs. WaykiChain core technology team is committed to providing the develop-friendly interfaces of each layer and improving the technical documentation to help the community better build the ecosystem.

Further Reading

WaykiChain Github: https://github.com/WaykiChain/WaykiChain
How Does WaykiChain Work?
WaykiChain uses a DPoS consensus mechanism with eleven accounting nodes. The annual rate of return is 5% for the first year, with a 1% increase with every year that goes by. Each time a block is created, an accounting node is randomly associated. The accounting node gains all of the transaction fees in its accounting block. Users can earn interest by locking WaykiChain coins. The interest is automatically determined each time the votes for the corresponding user account change.
The terms of betting are triggered by the initiator through smart contract transactions. Users can initiate various betting contract transactions, all of which can be searched and identified in the block browsers. When the betting is over, the bet initiation will publish the final results and the gaining will be then shared accordingly. In short, the betting revenue is automatically issued to the user’s wallet after the betting results are displayed.
The smart contract provided by the platform makes it possible for asset initiations to create dividend sharing rules. These rules are only triggered by various conditions. Hence, the final price of the assets in circulation will be determined by the market’s behavior towards the object in the transaction.

WaykiChain Applications

Token System
Waykichain Token, WICC is a token only used and circulated in WaykiChain Wallet DApp. WICC itself does not have any FIAT characteristics. By consuming WICC as a kind of fuel, users can use applications on WaykiChain; by locking their WICC for a certain period of time, users can share the revenue from WICC Lock Revenue Sharing Plan; and by voting for effective and stable accounting nodes, users can earn related interest. WICC can be obtained by participating in the lock plan, by accounting, voting, and subscription, or by trading with other holders. This means WICC will be listed on lots of exchanges and traded with other cryptocurrencies, thus WICC also has trade value.
WaykiChain Block Explorer
WaykiChain official block explorer is a data display system for WaykiChian applications, which displays the WICC transfer and transaction records, account balances, prediction games transactions, and payout results according to application data on the blockchain. All data is open and transparent and inherently irreversible.
WICC Lock & Revenue Sharing Plan
In order to reward all community supporters and provide a channel for application operators to make retribution to community, WaykiChain launched WICC Lock & Revenue Sharing Plan. Application operators can provide a portion of the proceeds to the community members to encourage their contribution to the entire public chain, and to motivate the community to continuously improve the public chain as a more robust underlying system. Investors can lock their own WICC, as a way of showing long-term optimism about the project, to get a certain amount of revenue.
Investors can lock a certain number of mainnet WICC through the entrance in WaykiChain DApp. During the lock period, this part of WICC cannot be traded, transferred, or consumed as transaction fee. When the lock period expired, WICC will be automatically unlocked and become tradable. During the lock period, investors will receive WICC revenue at the end of each month. The amount of each investor’s WICC revenue is related to his/her WICC lock volume and duration, total WICC revenue generated during the period, and the total WICC lock volume and duration of all investors participating in the lock plan during this period. Specific calculating formula is as follows:
WICC Lock revenue Calculation Formula:
Each investor’s daily WICC revenue = Each investor’s lock index / The sum of each investor’s lock index * Total WICC revenue that day
Each investor’s lock index = Each investor’s WICC lock volume * Time index * Volume index

https://preview.redd.it/7c273o53chw11.png?width=689&format=png&auto=webp&s=219d1e810f4d9217c55c336273b6d2f021257dfa
Time Index Table
Decentralized App
The first smart contract based application delivered by WaykiChain’s team is the WaykiChain decentralized betting application. In this application, the smart contract will assign a time duration in which the user can engage in the betting process. All the conditions related to betting will be given. When a bet is finished, the contract will release the results. The smart contract will then reward the winners.
This DApp was launched in May 2018, attracting over 130,000 users to download and bet and has been upgraded to V2.1 ever since. The latest product WaykiBet DApp V2.5 is planned to launch in November along with a new WaykiChain wallet.
WaykiBet V2.5 enables a new feature that everyone can be a bookmaker. With the authoritative event data and services provided by WaykiChain DApp, user even without any technical or product background can build a bet in simply one-click. And at the end of the game, WaykiBet will automatically call the smart contract to calculate the bet results and deliver payouts, without any manual participation.
Besides, WaykiBet V2.5 has exempted the betting fee through the structure optimization and allows the player to participate in the betting directly after creating a new wallet without activation to ensure users outside of the cryptocurrency industry can be involved in the easiest manner.
WaykiTimes Wallet
The new WaykiChain wallet, named as WaykiTimes will retain the original wallet functions, such as Lock Revenue Sharing and node voting. The newly added “Forum” gathers the community of WaykiChain and blockchain together, will become an ecology of open communication. Meanwhile it will has a “News” section to meet different users’ needs. In the future, WaykiTimes will implement WaykiChain token economy to encourage the community members.
Getting Setup
Download WaykiBet DApp V.2.5 at official website: https://www.waykichain.com/

Meet the Team

WaykiChain team is comprised out of over 60 individuals with relevant experience in marketing, business, betting, lottery, betting and crypto industries.
Wayki Sun, Founder & CSO
One of the earliest digital currency investors and entrepreneurs in China. The founder of Xinhuo Network, the founder of Ou Lu Zhong Chou and the Managing Director of Jufeng Digital Asset Management Co., Ltd. Sun led an investment team of hundreds of people with great achievements made in stock, foreign exchange, futures and digital currency markets.
Gordon Gao, CEO
Gordon Gao, an alumni of Columbia University, ex-Lead Data Scientist of Fishbowl in Wall Street, ex-Senior Data Analyst of Alibaba Group, senior member of Mensa International Club. He is responsible for offering support to WaykiChain’s commercial model designing and strategy planning, building up a digitalized monitor system for products and operation and promoting WaykiChain overseas with his international background.
Tony Chau, Co-founder & CBO
Bachelor’s Degree in Finance from the University of Toronto in Canada and served in Hongshang Asset Management Co., Ltd. Focused on industrial surveys and commercial analysis, with in-depth research and distinctive perception on business operation models, and professional financial knowledge and complete project experience.
Tame Huang, Chief Consultant
The founder of BTC38, served as Product Manager and Project Manager of Tencent, Vice President of Fantasy Basketball, and Chief Strategy Officer of Licai Box; Huang was involved in the investment on more than ten high-tech enterprises, such as Jidian Technology, Yixiang Network, Maoming Rural and Commercial Bank, Jujin Technology, Cointime, etc., and established the Bitcoin Time Digital Currency Exchange in May 2013.
Xi Zhang, CPO
Tsinghua MBA, former Senior Product Manager of Tencent. Xi Zhang has been engaged in Internet industry for 14 years with several entrepreneurial experiences. In 2008, he joined aibo123.com as Product Director, responsible for the product design and operation of Olympics lottery. In 2014, he stared his own business and founded QiuShang APP, the first prediction APP in China applying big data prediction with 8% return rate and 67% win rate. In 2016, as a partner, he joined the Haiqiu Technology founded by famous football player Sun Jihai, responsible for the Miaohai business unit. He was fully responsible for the products, technology, operations, and marketing of Miaohai sports short video APP. The total downloads of Miaohai APP were 6 million and daily active users were 1 million.
Richard Chen, CTO
Master of Computer Science from the National University of Singapore and Bachelor of Communication Engineering from Shanghai Jiao Tong University. Richard worked for Alibaba and was responsible for the internal and external information security system construction of the entire groups Customer Service Department. Prior to this, Richard also served as Senior Vice President for the worlds top investment bank Morgan Stanley for 3 years and Intel Chief Architect for 8 years. Richard has received four US patents and won Intel Achievement Award (IAA). Richard has published several global patents in encryption technology, distributed network communication and collaboration, and big data.
Xiang Li, CMO
MBA degree from Tsinghua University, former COO of Brightoil Online under Brightoil Petroleum (Holdings) Limited, senior manager of Dacheng Food (Asia) Limited, has over a decade of experience in marketing and brand building. Ms. Li is an expert in building brand strategy, brand positioning, advertising channels, event marketing, crisis management, etc. Now Ms. Li is the marketing director of WaykiChain, responsible for the brand operation of WaykiChain in the global market and marketing cooperation.
Getting Connected:
  1. Website: https://www.waykichain.com/aboutUs.html
  2. Telegram: https://t.me/wiccofficial

FAQ:

What is WICC? How to Buy WICC?
WICC is the token launched by WaykiChain. In order to buy WaykiChain (WICC), we recommend you to buy some BTC or ETH (the highest volume trading pairs) from an exchange that accepts them. Then, you will have to find a marketplace that sells WICC in exchange for the aforementioned cryptocurrencies. We recommend you to buy WICC at AEX or Huobi Exchange (AEX has already supported WICC mainnet migration, Huobi will support the migration in November, 2018). For more information on this matter, you can visit CoinMarketCap.
When it comes to storing your WICC coins, it’s recommended that you use the official WaykiChain wallet. By consuming the tokens, you can also use various applications on WaykiChain.
What is the use of WICC?
WICC is a token used and circulated in WaykiChain Wallet DApp. WICC itself does not have any FIAT characteristics. By consuming WICC as a kind of fuel, users can use applications on WaykiChain; by locking their WICC for a certain period of time, users can share the revenue from WICC lock plan; and by voting for effective and stable accounting nodes, users can earn related interest. WICC can be obtained by participating in the lock plan, by accounting, voting, and subscription, or by trading with other holders. WICC has been listed on over 100 exchanges and trading with other cryptocurrencies for almost 1 year, thus WICC also has trade value.
What are WaykiChain’s advantages as a public chain 3.0?
There are three different types of blockchain: public chain, consortium chain, and private chain. Public chain refers to the consensual blockchain that any individual or team can read and send transactions to, and obtain valid confirmation. Public chain, also known as the non-license chain, is totally open to the whole network that any node can access or leave at any time without any permission. As a public chain of blockchain 3.0, WaykiChain has the advantages of high speed, high stability and flexibility, and low handling fee, providing rich development tools and perfect development environment for worldwide developers. Adopting DPoS consensus mechanism, sidechain technology and other technologies, WaykiChain can process 1000+ transaction requests per second. Relying on its strong strength of underlying technology and innovation, WaykiChain can effectively support high-traffic application scenarios and realize the landing of WaykiChain ecological applications.
What is WaykiChain decentralized betting application?
WaykiChain decentralized betting application is the first smart contract application launched by WaykiChain team. Each betting is triggered by the application developer via a smart contract. During the period specified in the contract, the users can initiate betting transaction, and all betting records can be traced on the blockchain browser and can never be tampered with. The smart contract will automatically reward the winners based on the final result. WaykiChain will use smart contract to automatically execute the game rule on its public chain. Instead of relying on trust between people, WaykiChain betting application adopts trust among machines to save credit costs, and guarantees full compliance with the rules setting. Besides WaykiChain Official, the developers of the decentralized applications can be any other third-parties. WaykiChain welcomes all developers to join.
What is WaykiChain Address?
WaykiChain address is a 34-bit string consisting of English letters and numbers that may look like digital gibberish. My WaykiChain address WXv6xP8yVW4PkZ3DPvxqfBtfz7Bof1RJHm, as an example, looks like this. All transfer records for each WaykiChain address can be found through the blockchain explorer. The address is a personal WaykiChain account like your bank account number. Anyone can transfer WICC to you via your WaykiChain address. How do I get my own WaykiChain address then? You can download a WaykiChain Wallet on WaykiChain official website, or register one on trading platforms. Each user’s WaykiChain address is unique. It should be noted that each WaykiChain wallet can only create one address, therefore the wallet mnemonics must be kept carefully.
What consensus mechanism does WaykiChain adopt?
WaykiChain adopts DPOS consensus mechanism, a new algorithm to guarantee the security of cryptocurrency network. DPOS consensus mechanism can offset the negative effects of centralization through implementing technology-based democracy, and maximize the effectiveness of the public chain through nodes accounting. DPOS can be understood as giving the token holders a key to open the voting rights corresponding to their tokens, instead of giving them a shovel to mine. DPOS can maximize the profitability of the token holders, minimize the cost of network security, maximize the efficiency of network, and minimize the cost of network operation. WaykiChain has 11 accounting nodes in total. The nodes are generated by the token holders’voting. If nodes are making trouble or cannot account normally, the token holders can change their votes, so that there will be other nodes to replace to ensure that the public chain can be operating normally.
What is WaykiChain mainnet migration?
WaykiChain (WICC) mainnet migration is the process of replacing the previous Ethereum-based token ERC20 TOKEN with WaykiChain mainnet token. WaykiChain public chain, through several months of testing and rigorous evaluation from the exchange platforms after its release, has been fully proven to operate efficiently and stably. Mainnet migration marks that WaykiChain public chain is actually putting into use. After the mainnet migration, various applications and developments based on WaykiChain can be launched, and the service period of WaykiChain public chain truly starts. The dividend mechanism, voting mechanism, gas consumption, and accounting fees on WaykiChain ecosystem are all completed by the mainnet token. The previous ERC20 tokens do not have these functions. By the end of June 26th, AEX Exchange, CEO Exchange, and Bying Wallet have supported WICC mainnet migration. There will be more exchanges and wallets supporting the migration in the future. Please follow WaykiChain’s Wechat official account for more details.
Are there any requirements or restrictions for developing projects on WaykiChain?
WaykiChain’s code is completely open. WaykiChain welcomes third parties worldwide to develop, carry and operate various application products on WaykiChain, and finally form a diversiform public chain community ecology. WaykiChain is happy to provide public chain technology support for any individuals or third parties. Applications developed and operated by third parties, based on WaykiChain public chain, need to comply with local laws and policies. Only after obtaining related licenses, permits or qualifications required by local laws and policies, developers and operators can launch and operate their applications on WaykiChain. Because of blockchain public chain’s globality, anonymity, open code, and the limitation of our ability, WaykiChain Official cannot judge the identity of third parties, nor have the ability and right to verify, supervise, control or interfere the third parties. Therefore, third parties should bear responsibility of their own actions.
What is WaykiChain Block Explorer?
WaykiChain Block Explorer is a system that displays all transaction information on WaykiChain and provides visualized track services. Technically, a block explorer works by scanning the block into the database server and then setting up a Web access service. Users only need to import the transaction hash to check whether the transaction has been packaged and confirmed. From the point of product, block explorer is more suitable to be called as asset explorer, which provides asset certification for users so that they don’t have to visually identify or manually analyze the transactions themselves. The block explorer also provides statistics of blocks and transactions, helping users to directly understand the activity of the blockchain. The statistics can also be translated into various indexes for investors to understand the project. To track the transactions, users can search relevant information on WaykiChain official website through WaykiChain wallet address, transaction hash or block height.

Further Reading

https://www.waykichain.com/question.html

Wish List for WaykiChain

Just thinking it would be great to create a post for everyone to post what they want to have for future releases of the Waykichain DApp or anything related to using Waykichain.
Welcome feedback from the community, so please do get in touch. Want to dive in further? Follow WaykiChain onTwitter, Medium and LinkedIn.
submitted by Waykichain to u/Waykichain [link] [comments]

Everything You Need to Know About WaykiChain

Everything You Need to Know About WaykiChain

https://preview.redd.it/uho8eww9npw11.png?width=880&format=png&auto=webp&s=960d1dc0f9afa9c17633a4fae2c43a41ace45260

What is WaykiChain?

WaykiChain is a block public chain focusing on blockchain technology development and related operations. WaykiChain has positioned itself as an infrastructure that is based on both Ethereum and Blockchain, intending to trigger a collective growth of different industries by presenting an enterprise solution.

Determined to build a world-class decentralized platform and ecosystem, WaykiChain launched the first smart-contract-based game prediction DApp in May 2018 with over 130,000 install volume, token WICC listed in 100+ exchanges, peaking at $3, community members over 300K, is believed to be innovating a new business model in the new era.
WaykiChain, a team focused on blockchain industry’s foundation and application development, now consisting of nearly 70 people, with core members from world-renowned companies such as Alibaba, Tencent, Morgan Stanley and Intel, is hoping to ultimately achieve an ecosystem that everyone can participate in the building and share the results.

Where is WaykiChain Heading?

The future of WaykiChain is a big community-driven public chain ecosystem. WaykiChain aims to build a decentralized application platform that can provide users with complete on-chain smart contract system. Anyone can realize their business ideas on WaykiChain and develop their own DApp, and build their own brands.
WaykiChain takes decentralized prediction, assets trading and forex trading as entry industries to expand markets in the early stage. After accumulating plenty of application users and developers, WaykiChain will gradually perfect its upper blockchain applications.
Currently, WaykiChain tech team is focusing on underlying public chain development. WaykiChain will provide friendly development environment to developers with sufficient development templates an interfaces. Besides, WaykiChain team plans to take a part of WICC as reward those developers who have made important contributions to the community. WaykiChain is committed to building an underlying technology platform that truly integrates blockchain application and real business. Along with its development, WaykiChain will gradually grow into a big ecosystem with totally decentralized operations, and brings the convenience of blockchain to every user.

Further Reading

White Paper
WaykiChain white paper is in update now, and will be available soon.
Huobi Project Center
https://www.huobi.br.com/projectcenteproject/?id=91&utm_source=Marketing&utm_medium=Referral&utm_campaign=WICC
Waykichain Developer-Friendly Community
http://www.waykichain.com/announcement.html?id=887

WaykiChain’s Technology

Consensus Mechanism
Delegated Proof of Stake (DPoS) is a consensus algorithm maintaining irrefutable agreement on the truth across the network, validating transactions and acting as a form of digital democracy. Delegated through token holders’ vote, ledgers nodes will package all the transactions in the block and get corresponding reward. DPOS can maximize token holders’ interests and network performance, meanwhile minimize the maintenance and operation costs.
WaykiChain adopts DPoS, which is the most adaptive consensus mechanism for developing and operating applications on chain. The block is successively generated by 11 ledger nodes. Every 10 seconds, a new block will be generated on WaykiChain. Verified by WaykiChain mainnet operation, the transaction confirmation speed can reach 1000+tps.
Vote Mechanism
WaykiChain adopts DPOS consensus mechanism with 11 ledger nodes. When a block is generated, a node is elected with the most votes according to random perturbation algorithm from the 11 nodes. Then ledger node gains all of the transaction fee in its ledger block. Users can get proportionate votes by locking their WICC. Every node can be cast for 11 candidates at most. Every voted user will be awarded proportionate interest. When users’ corresponding accounts’ votes changes, the interest from voting will be received automatically. The first year’s rate of interest is 5% and it will decrease 1% annually during the following years. Finally, the annual rate of interest will be fixed at 1% permanently.
Smart Contracts
WaykiChain is a smart contract platform that supports Turing devices. These smart contracts can help in a variety of real-world applications including copyright issues, decentralized exchanges and asset problems. It adopts DPOS consensus mechanism, sets up 11 voting nodes, and generates a new block every 10 seconds. According to detailed calculation by WaykiChain team, currently, the confirmed transaction speed can reach 1000+tps.
WaykiChain’s smart contract can be built using the programming language Lua. Lua was developed in the early 1990s and has an extensive developer community. It has been used in desktop development, web development and the Internet of Things. It also is one of the easiest programming languages and hence it provides an incentive for developers to code on WaykiChain’s platform.
Sidechain
The most popular smart contract cryptocurrency Ethereum, failed when Cryptokitties were released. Ethereum’s network was unable to handle the massive influx of users. Thus, scalability remains a huge problem. Fortunately, WaykiChain has a feature known as sidechains which can deal with huge amount of users. Applications built on WaykiChains will have their own sidechains and they are not linked in any way to each other.
WaykiChain Ecosystem Development System
WaykiChain ecosystem development system is driven and co-developed by three parties: WaykiChain core developers, open source community developers and business developers. In the decentralized system, WaykiChain team will provide technical standards and community contribution incentives to ensure that the entire ecosystem moves forward as a whole. On the basis of the underlying public chain, plug-ins, and smart contracts, business developers are able to develop applications efficiently and build their own brands with blockchain’s credit endorsement.
WaykiChain plans to establish Technology Research Academy to gather a group of outstanding developers with decentralized blockchain beliefs. WaykiChain will provide underlying technology support and standards. Developers in the academy can free communicate, learn from each other and co-develop a fully decentralized community.
Ecosystem Layered Architecture
WaykiChain technology stack consists of four layers: the core node layer, the wallet node layer, the application platform layer, and the DApp application layer. Any developer can choose which layer to start development based on their own development capability, business needs, and application flexibility needs. WaykiChain core technology team is committed to providing the develop-friendly interfaces of each layer and improving the technical documentation to help the community better build the ecosystem.

Further Reading

WaykiChain Github: https://github.com/WaykiChain/WaykiChain
How Does WaykiChain Work?
WaykiChain uses a DPoS consensus mechanism with eleven accounting nodes. The annual rate of return is 5% for the first year, with a 1% increase with every year that goes by. Each time a block is created, an accounting node is randomly associated. The accounting node gains all of the transaction fees in its accounting block. Users can earn interest by locking WaykiChain coins. The interest is automatically determined each time the votes for the corresponding user account change.
The terms of betting are triggered by the initiator through smart contract transactions. Users can initiate various betting contract transactions, all of which can be searched and identified in the block browsers. When the betting is over, the bet initiation will publish the final results and the gaining will be then shared accordingly. In short, the betting revenue is automatically issued to the user’s wallet after the betting results are displayed.
The smart contract provided by the platform makes it possible for asset initiations to create dividend sharing rules. These rules are only triggered by various conditions. Hence, the final price of the assets in circulation will be determined by the market’s behavior towards the object in the transaction.

WaykiChain Applications

Token System
Waykichain Token, WICC is a token only used and circulated in WaykiChain Wallet DApp. WICC itself does not have any FIAT characteristics. By consuming WICC as a kind of fuel, users can use applications on WaykiChain; by locking their WICC for a certain period of time, users can share the revenue from WICC Lock Revenue Sharing Plan; and by voting for effective and stable accounting nodes, users can earn related interest. WICC can be obtained by participating in the lock plan, by accounting, voting, and subscription, or by trading with other holders. This means WICC will be listed on lots of exchanges and traded with other cryptocurrencies, thus WICC also has trade value.
WaykiChain Block Explorer
WaykiChain official block explorer is a data display system for WaykiChian applications, which displays the WICC transfer and transaction records, account balances, prediction games transactions, and payout results according to application data on the blockchain. All data is open and transparent and inherently irreversible.
WICC Lock & Revenue Sharing Plan
In order to reward all community supporters and provide a channel for application operators to make retribution to community, WaykiChain launched WICC Lock & Revenue Sharing Plan. Application operators can provide a portion of the proceeds to the community members to encourage their contribution to the entire public chain, and to motivate the community to continuously improve the public chain as a more robust underlying system. Investors can lock their own WICC, as a way of showing long-term optimism about the project, to get a certain amount of revenue.
Investors can lock a certain number of mainnet WICC through the entrance in WaykiChain DApp. During the lock period, this part of WICC cannot be traded, transferred, or consumed as transaction fee. When the lock period expired, WICC will be automatically unlocked and become tradable. During the lock period, investors will receive WICC revenue at the end of each month. The amount of each investor’s WICC revenue is related to his/her WICC lock volume and duration, total WICC revenue generated during the period, and the total WICC lock volume and duration of all investors participating in the lock plan during this period. Specific calculating formula is as follows:
WICC Lock revenue Calculation Formula:
Each investor’s daily WICC revenue = Each investor’s lock index / The sum of each investor’s lock index * Total WICC revenue that day
Each investor’s lock index = Each investor’s WICC lock volume * Time index * Volume index
Time Index Table
Decentralized App
The first smart contract based application delivered by WaykiChain’s team is the WaykiChain decentralized betting application. In this application, the smart contract will assign a time duration in which the user can engage in the betting process. All the conditions related to betting will be given. When a bet is finished, the contract will release the results. The smart contract will then reward the winners.
This DApp was launched in May 2018, attracting over 130,000 users to download and bet and has been upgraded to V2.1 ever since. The latest product WaykiBet DApp V2.5 is planned to launch in November along with a new WaykiChain wallet.
WaykiBet V2.5 enables a new feature that everyone can be a bookmaker. With the authoritative event data and services provided by WaykiChain DApp, user even without any technical or product background can build a bet in simply one-click. And at the end of the game, WaykiBet will automatically call the smart contract to calculate the bet results and deliver payouts, without any manual participation.
Besides, WaykiBet V2.5 has exempted the betting fee through the structure optimization and allows the player to participate in the betting directly after creating a new wallet without activation to ensure users outside of the cryptocurrency industry can be involved in the easiest manner.
WaykiTimes Wallet
The new WaykiChain wallet, named as WaykiTimes will retain the original wallet functions, such as Lock Revenue Sharing and node voting. The newly added “Forum” gathers the community of WaykiChain and blockchain together, will become an ecology of open communication. Meanwhile it will has a “News” section to meet different users’ needs. In the future, WaykiTimes will implement WaykiChain token economy to encourage the community members.
Getting Setup
Download WaykiBet DApp V.2.5 at official website: https://www.waykichain.com/

Meet the Team

WaykiChain team is comprised out of over 60 individuals with relevant experience in marketing, business, betting, lottery, betting and crypto industries.
Wayki Sun, Founder & CSO
One of the earliest digital currency investors and entrepreneurs in China. The founder of Xinhuo Network, the founder of Ou Lu Zhong Chou and the Managing Director of Jufeng Digital Asset Management Co., Ltd. Sun led an investment team of hundreds of people with great achievements made in stock, foreign exchange, futures and digital currency markets.
Gordon Gao, CEO
Gordon Gao, an alumni of Columbia University, ex-Lead Data Scientist of Fishbowl in Wall Street, ex-Senior Data Analyst of Alibaba Group, senior member of Mensa International Club. He is responsible for offering support to WaykiChain’s commercial model designing and strategy planning, building up a digitalized monitor system for products and operation and promoting WaykiChain overseas with his international background.
Tony Chau, Co-founder & CBO
Bachelor’s Degree in Finance from the University of Toronto in Canada and served in Hongshang Asset Management Co., Ltd. Focused on industrial surveys and commercial analysis, with in-depth research and distinctive perception on business operation models, and professional financial knowledge and complete project experience.
Tame Huang, Chief Consultant
The founder of BTC38, served as Product Manager and Project Manager of Tencent, Vice President of Fantasy Basketball, and Chief Strategy Officer of Licai Box; Huang was involved in the investment on more than ten high-tech enterprises, such as Jidian Technology, Yixiang Network, Maoming Rural and Commercial Bank, Jujin Technology, Cointime, etc., and established the Bitcoin Time Digital Currency Exchange in May 2013.
Xi Zhang, CPO
Tsinghua MBA, former Senior Product Manager of Tencent. Xi Zhang has been engaged in Internet industry for 14 years with several entrepreneurial experiences. In 2008, he joined aibo123.com as Product Director, responsible for the product design and operation of Olympics lottery. In 2014, he stared his own business and founded QiuShang APP, the first prediction APP in China applying big data prediction with 8% return rate and 67% win rate. In 2016, as a partner, he joined the Haiqiu Technology founded by famous football player Sun Jihai, responsible for the Miaohai business unit. He was fully responsible for the products, technology, operations, and marketing of Miaohai sports short video APP. The total downloads of Miaohai APP were 6 million and daily active users were 1 million.
Richard Chen, CTO
Master of Computer Science from the National University of Singapore and Bachelor of Communication Engineering from Shanghai Jiao Tong University. Richard worked for Alibaba and was responsible for the internal and external information security system construction of the entire groups Customer Service Department. Prior to this, Richard also served as Senior Vice President for the worlds top investment bank Morgan Stanley for 3 years and Intel Chief Architect for 8 years. Richard has received four US patents and won Intel Achievement Award (IAA). Richard has published several global patents in encryption technology, distributed network communication and collaboration, and big data.
Xiang Li, CMO
MBA degree from Tsinghua University, former COO of Brightoil Online under Brightoil Petroleum (Holdings) Limited, senior manager of Dacheng Food (Asia) Limited, has over a decade of experience in marketing and brand building. Ms. Li is an expert in building brand strategy, brand positioning, advertising channels, event marketing, crisis management, etc. Now Ms. Li is the marketing director of WaykiChain, responsible for the brand operation of WaykiChain in the global market and marketing cooperation.
Getting Connected:
  1. Website: https://www.waykichain.com/aboutUs.html
  2. Telegram: https://t.me/wiccofficial

FAQ:

What is WICC? How to Buy WICC?
WICC is the token launched by WaykiChain. In order to buy WaykiChain (WICC), we recommend you to buy some BTC or ETH (the highest volume trading pairs) from an exchange that accepts them. Then, you will have to find a marketplace that sells WICC in exchange for the aforementioned cryptocurrencies. We recommend you to buy WICC at AEX or Huobi Exchange (AEX has already supported WICC mainnet migration, Huobi will support the migration in November, 2018). For more information on this matter, you can visit CoinMarketCap.
When it comes to storing your WICC coins, it’s recommended that you use the official WaykiChain wallet. By consuming the tokens, you can also use various applications on WaykiChain.
What is the use of WICC?
WICC is a token used and circulated in WaykiChain Wallet DApp. WICC itself does not have any FIAT characteristics. By consuming WICC as a kind of fuel, users can use applications on WaykiChain; by locking their WICC for a certain period of time, users can share the revenue from WICC lock plan; and by voting for effective and stable accounting nodes, users can earn related interest. WICC can be obtained by participating in the lock plan, by accounting, voting, and subscription, or by trading with other holders. WICC has been listed on over 100 exchanges and trading with other cryptocurrencies for almost 1 year, thus WICC also has trade value.
What are WaykiChain’s advantages as a public chain 3.0?
There are three different types of blockchain: public chain, consortium chain, and private chain. Public chain refers to the consensual blockchain that any individual or team can read and send transactions to, and obtain valid confirmation. Public chain, also known as the non-license chain, is totally open to the whole network that any node can access or leave at any time without any permission. As a public chain of blockchain 3.0, WaykiChain has the advantages of high speed, high stability and flexibility, and low handling fee, providing rich development tools and perfect development environment for worldwide developers. Adopting DPoS consensus mechanism, sidechain technology and other technologies, WaykiChain can process 1000+ transaction requests per second. Relying on its strong strength of underlying technology and innovation, WaykiChain can effectively support high-traffic application scenarios and realize the landing of WaykiChain ecological applications.
What is WaykiChain decentralized betting application?
WaykiChain decentralized betting application is the first smart contract application launched by WaykiChain team. Each betting is triggered by the application developer via a smart contract. During the period specified in the contract, the users can initiate betting transaction, and all betting records can be traced on the blockchain browser and can never be tampered with. The smart contract will automatically reward the winners based on the final result. WaykiChain will use smart contract to automatically execute the game rule on its public chain. Instead of relying on trust between people, WaykiChain betting application adopts trust among machines to save credit costs, and guarantees full compliance with the rules setting. Besides WaykiChain Official, the developers of the decentralized applications can be any other third-parties. WaykiChain welcomes all developers to join.
What is WaykiChain Address?
WaykiChain address is a 34-bit string consisting of English letters and numbers that may look like digital gibberish. My WaykiChain address WXv6xP8yVW4PkZ3DPvxqfBtfz7Bof1RJHm, as an example, looks like this. All transfer records for each WaykiChain address can be found through the blockchain explorer. The address is a personal WaykiChain account like your bank account number. Anyone can transfer WICC to you via your WaykiChain address. How do I get my own WaykiChain address then? You can download a WaykiChain Wallet on WaykiChain official website, or register one on trading platforms. Each user’s WaykiChain address is unique. It should be noted that each WaykiChain wallet can only create one address, therefore the wallet mnemonics must be kept carefully.
What consensus mechanism does WaykiChain adopt?
WaykiChain adopts DPOS consensus mechanism, a new algorithm to guarantee the security of cryptocurrency network. DPOS consensus mechanism can offset the negative effects of centralization through implementing technology-based democracy, and maximize the effectiveness of the public chain through nodes accounting. DPOS can be understood as giving the token holders a key to open the voting rights corresponding to their tokens, instead of giving them a shovel to mine. DPOS can maximize the profitability of the token holders, minimize the cost of network security, maximize the efficiency of network, and minimize the cost of network operation. WaykiChain has 11 accounting nodes in total. The nodes are generated by the token holders’voting. If nodes are making trouble or cannot account normally, the token holders can change their votes, so that there will be other nodes to replace to ensure that the public chain can be operating normally.
What is WaykiChain mainnet migration?
WaykiChain (WICC) mainnet migration is the process of replacing the previous Ethereum-based token ERC20 TOKEN with WaykiChain mainnet token. WaykiChain public chain, through several months of testing and rigorous evaluation from the exchange platforms after its release, has been fully proven to operate efficiently and stably. Mainnet migration marks that WaykiChain public chain is actually putting into use. After the mainnet migration, various applications and developments based on WaykiChain can be launched, and the service period of WaykiChain public chain truly starts. The dividend mechanism, voting mechanism, gas consumption, and accounting fees on WaykiChain ecosystem are all completed by the mainnet token. The previous ERC20 tokens do not have these functions. By the end of June 26th, AEX Exchange, CEO Exchange, and Bying Wallet have supported WICC mainnet migration. There will be more exchanges and wallets supporting the migration in the future. Please follow WaykiChain’s Wechat official account for more details.
Are there any requirements or restrictions for developing projects on WaykiChain?
WaykiChain’s code is completely open. WaykiChain welcomes third parties worldwide to develop, carry and operate various application products on WaykiChain, and finally form a diversiform public chain community ecology. WaykiChain is happy to provide public chain technology support for any individuals or third parties. Applications developed and operated by third parties, based on WaykiChain public chain, need to comply with local laws and policies. Only after obtaining related licenses, permits or qualifications required by local laws and policies, developers and operators can launch and operate their applications on WaykiChain. Because of blockchain public chain’s globality, anonymity, open code, and the limitation of our ability, WaykiChain Official cannot judge the identity of third parties, nor have the ability and right to verify, supervise, control or interfere the third parties. Therefore, third parties should bear responsibility of their own actions.
What is WaykiChain Block Explorer?
WaykiChain Block Explorer is a system that displays all transaction information on WaykiChain and provides visualized track services. Technically, a block explorer works by scanning the block into the database server and then setting up a Web access service. Users only need to import the transaction hash to check whether the transaction has been packaged and confirmed. From the point of product, block explorer is more suitable to be called as asset explorer, which provides asset certification for users so that they don’t have to visually identify or manually analyze the transactions themselves. The block explorer also provides statistics of blocks and transactions, helping users to directly understand the activity of the blockchain. The statistics can also be translated into various indexes for investors to understand the project. To track the transactions, users can search relevant information on WaykiChain official website through WaykiChain wallet address, transaction hash or block height.

Further Reading

https://www.waykichain.com/question.html

Wish List for WaykiChain

Just thinking it would be great to create a post for everyone to post what they want to have for future releases of the Waykichain DApp or anything related to using Waykichain.
Welcome feedback from the community, so please do get in touch. Want to dive in further? Follow WaykiChain on Telegram, Twitter, Medium and LinkedIn.
submitted by Waykichain to WaykiChain_WICC [link] [comments]

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

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

Top Submitters' Top Submissions

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

Top Commenters

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

Top Submissions

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

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
Generated with BBoe's Subreddit Stats (Donate)
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JPMorgan Bitcoin Analyst Report Part 2 - Full Text (sorry, no graphs)

Part 1: http://www.reddit.com/Bitcoin/comments/1xmo61/jpmorgan_bitcoin_analyst_report_part_1_full_text/ Part 3: http://www.reddit.com/Bitcoin/comments/1xmoax/jpmorgan_bitcoin_analyst_report_part_3_full_text/
MAKING MONEY THE OLD FASHIONED WAY
A discussion of bitcoin should begin with an Economics 101 refresher on money – what it is, how it is created and why we hold it. The classic definition of money is anything that serves as medium of exchange, unit of account and store of value. A medium of exchange can be anything deliverable for a good or service, whether a mundane object, a precious metal or piece of paper. In allcases, users value the medium because employing it is more efficient than bartering. A unit of account is a way of measuring value from a common reference point, thus also facilitating commerce because goods can be compared more easily. (Recall the euro’s usefulness in this regard since now prices in Europe are comparable across 18 countries.) A store of value is just a way of holding wealth until it is exchanged for goods and services or lent or given to someone else.
For centuries precious metals, or paper currencies convertible into metal at a fixed rate, served these three functions. But followers of financial history know the limitation of a system based on a fixed or slow-growing money supply: it imposes uncomfortable financial discipline on governments, households and corporates.
Hence the progressive debasement of pure gold coins with alloys; the global abandonment of the gold standard during the financial strains during World War I; and the US government’s suspension of the dollar’s gold convertibility given fiscal and balance of payments pressure from the Vietnam War.
Today most countries employ fiat currencies, or paper and coins with no intrinsic worth whose perceived value stems from government declaration (or fiat) collective belief. The government creates demand for a currency by declaring it legal tender, meaning it must be accepted as payment for all debts and it will be used in any transactions between the government and other agents.
Consumers and corporates accept this fiat currency because it is a requirement for settling all debts public (paying taxes) and private. The government attempts to guard the value of money by maintaining a monopoly on its production to avoid counterfeiting, and by establishing a central bank with a mandate to manage its supply responsibly over time.
While this system may sound like blithe existence in The Matrix, this relationship amongst government, central bank, households, corporates and fiat currencies is much more efficient than an alternative like barter. It also makes macroeconomic shocks much easier to manage than an alternative like the gold standard (recall the deflation of the Great Depression and more recently peripheral Europe).
BITCOIN AS BETTER MONEY
Bitcoin proposes an alternative, however. If – despite their mandates – the world's biggest central banks risk inflation and currency debasement via the rapid expansion of their balance sheets, and if even European governments still impose capital controls (Cyprus), couldn’t a non-state entity more responsibly supply a fiat-like currency to the world? And if this currency were created and exchanged digitally amongst peers of consumers and corporates, it would have the additional advantage of avoiding the fees imposed by financial intermediaries as well as the loss of privacy inherent in third-party payments systems. Hence the purported appeal of a virtual currency: a medium of exchange, a unit of account and a store of value without the alleged recklessness, capriciousness, siphoning and snooping inherent in traditional systems. Even leaving aside this caricature of bitcoin's underlying philosophy, there is something compelling about the idea.
Simple in theory, but more complex in practice. Consider the infrastructure of a traditional monetary and payments system to highlight what bitcoin attempts to replace. A traditional financial system is a national network comprising a central bank owned by a government, which creates money by physically printing currency and minting coins, or by electronically creating bank reservess. That money is used by households, consumers and the government to facilitate trade and investment via a payments system of banks and other financial intermediaries (think PayPal, Visa, Western Union and in some countries, the post office). Financial intermediaries provide numerous services of varying complexity, but their role in the payments system is simple: verify that Customer A has sufficient funds to pay Customer B, then securely transfer ownership of that money between accounts. For assuming that verification and transfer risk, intermediaries levy a fee.
Bitcoin performs these functions of money creation, payment verification and fund transfer quite differently. Its network is international and comprises miners who create the currency and users who obtain the currency to buy goods and services. There is no central monetary authority or regulator. There is also no financial intermediary for exchanging bitcoins for real products. The closest to an intermediary is an exchanger who will swap bitcoins for traditional fiat currencies like dollars, euros, yen or renminbi, like a forex dealer or futures exchange.7
Miners create bitcoins electronically by solving a mathematical algorithm released in 2009 by an unidentified programmer (or perhaps group of programmers) known by the pseudonym Satoshi Nakamoto. Anyone can be a miner; they simply need to download the software required to interact with others on the network, and acquire hardware powerful enough to run the multitudinous calculations to solve the algorithm. Since the technology required to solve an increasingly complex algorithm grows over time, miners will probably be programming specialists rather than the average consumer or businessperson.
Any individual or business can be a bitcoin user, however, by establishing an electronic account know as a wallet. This wallet is associated with a user's electronic address but not to any other identifying information such as their name, phone number or physical address. Thus bitcoin is a pseudonymous system rather than an anonymous one in that every user is known by something other than the legal names associated with traditional banking.
To provide security as well as transact with other users, bitcoin employs cryptography which assigns two keys (alphanumeric codes) to each account – a private one known only to them and a public one known to all other users in the network. When two users wish to transact, they send a message to the network using their public keys signed by their private keys. This transaction forms part of a block chain or bundle of transactions entirely in the public domain along with all other historical bitcoin transactions performed in the network.
Miners compete to verify that this trade is authentic via algorithms to confirm that indeed a user possesses the bitcoin and did not previously spend it. Programmers (miners) who solve the equations to authenticate a block of transactions receive 25 bitcoins increasing the money supply. Whenever the algorithm is solved, it becomes computationally more difficult so that the next attempt requires more time an effort (i.e. computing power). This feedback mechanism limits the growth rate of bitcoin supply, so is somewhat analogous to the production constraint on gold. The more that is mined, the greater the requirement to dig deeper pits, the greater effort required to extract the marginal ounce and the higher the price of the marginal ounce (or coin). The stock of bitcoins is arbitrarily set at 21 million units to be mined by 2140, 12 million of which have already been mined. At early-February market prices of about $700 per unit, the current bitcoin money supply has a value of about $8.5bn, equivalent to the market capitalisation of the Mauritius Stock Exchange.
As complicated as this process is, it begins to address several acknowledged deficiencies of fiat currencies. It provides steady, predictable growth in the money supply. It eliminates the risk of capital controls because the network lacks a central authority. It provides verification of fund balances to avoid fraud. And it eliminates or at least significantly reduces transaction costs for payments because verifiers are rewarded through bitcoin creation. As fanciful – and indeed Matrix-like – as this bitcoin creation system sounds, perhaps it requires no more suspended disbelief than the traditional fiat system in which a government declares paper to have value and a central bank or national mint thus issues the specie. One doesn’t need to be the caricatured miscreant, Austrian economist or anarchist to appreciate the appeal of such a system.
submitted by twobitidiot to Bitcoin [link] [comments]

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