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  2. Targeted Reading Interventions by Diana Sisson
  3. Taylor’s Clinical Nursing Skills: A Nursing Process Approach 4th Edition
  4. Teaching Models: Designing Instruction for 21st Century Learners
  5. Technical Communication 12th Edition
  6. Technical Drawing with Engineering Graphics 15th Edition
  7. Technology and the Search for Progress in Modern Mexico
  8. Television Entertainment by Jonathan Gray
  9. Terrorism and Homeland Security 9th Edition
  10. Textbook of Medical Physiology by Indu Khurana
  11. The 4-Hour Workweek: Escape 9-5, Live Anywhere, and Join the New Rich
  12. The Academic Phrasebank: an academic writing resource for students and researchers
  13. The Accidental Instructional Designer: Learning Design for the Digital Age
  14. The Action Research Dissertation: A Guide for Students and Faculty, 2nd Edition
  15. The African-American Odyssey, Combined Volume 6th Edition
  16. The Age of Direct Citizen Participation by Nancy C. Roberts
  17. The American Psychiatric Association Publishing Textbook of Psychopharmacology, 5th Edition
  18. The Art of Charlie Chan Hock Chye
  19. The Anxiety of sameness in early modern Spain by Christina H. Lee
  20. The ARRL Extra Class License Manual for Ham Radio 12th Edition
  21. The Ayahuasca Test Pilots Handbook: The Essential Guide to Ayahuasca Journeying
  22. The Basics of Information Security 2nd Edition
  23. The Basic Practice of Statistics 7th Edition
  24. The Beck Diet Solution: Train Your Brain to Think Like a Thin Person
  25. The Beggar's Benison : Sex Clubs of Enlightenment Scotland
  26. The Bible: An Introduction 2nd Edition
  27. The Biopolitics of Beauty: Cosmetic Citizenship and Affective Capital in Brazil
  28. The Black Death and the Transformation of the West
  29. The Blair Reader: Exploring Issues and Ideas 9th Edition
  30. The Blueprint for LSAT Reading Comprehension 2016
  31. The Blueprint for LSAT Logic Games 2015
  32. The Book of Tofu: Food for Mankind (Volume I Condensed and Revised)
  33. The CIA and American Democracy
  34. The Class Meeting: Reclaiming a Forgotten (and Essential)
  35. The Common Core Mathematics Companion, Grade 3-5
  36. The Communication Age: Connecting and Engaging
  37. The Course Serious Hold 'Em Strategy by Ed Miller
  38. The Defense industrial base : strategies for a changing world
  39. The Development of Children 7th Edition by Cynthia Lightfoot
  40. The Economics of European Integration 5th Edition by Richard Baldwin
  41. The Economics of Immigration
  42. The Efficiency Playbook: Your Tactical GAME PLAN to Getting More for Less
  43. The Elements of Murder: A History of Poison
  44. The End of Policing
  45. The Enjoyment of Music 13th Edition
  46. The Epistemology of Indicative Conditionals by Igor Douven
  47. The Esperanto Movement (Contributions to the Sociology of Language)
  48. The Essence of Antropology 4th Edition
  49. The Essential Cosmic Perspective 7th Edition
  50. The Essentials of Teaching Health Education: Curriculum, Instruction, and Assessment
  51. The Ethical Planning Practitioner
  52. The Ethics of Technology: Methods and Approaches
  53. The Exchange-Traded Funds Manual 2nd Edition
  54. The Feathers of Condor Transnational State Terrorism, Exiles and Civilian Anticommunism in South America
  55. The Frigates of EVE Online
  56. The Globalization of World Politics: An Introduction to International Relations 8th Edition
  57. The Global Business Environment: Towards Sustainability 5th Edition
  58. The Heart of the Cross by Philip Graham Ryken
  59. The History of Genocide in Cinema: Atrocities on Screen
  60. The House on Mango Street
  61. The Human Body in Health and Illness 5th Edition
  62. The Innovation Expedition: A Visual Toolkit to Start Innovation
  63. The Laboratory Zebrafish 1 Spi Edition by Claudia Harper
  64. The Last Dance. Encountering Death and Dying
  65. The Latino Threat
  66. The Leap: The Psychology of Spiritual Awakening
  67. The Little Seagull Handbook 3rd Edition
  68. The Logic of American Politics
  69. The Logic of Sharing
  70. The Mammoth Book of the History of Murder
  71. The Marriage Clinic Casebook
  72. The Measure of All Minds by José Hernández-Orallo
  73. The Military Revolution Debate: Readings On The Military Transformation Of Early Modern Europe
  74. The Mind's Machine 2nd Edition – Neil Watson
  75. The Moral Rhetoric of American Presidents
  76. The Mouse And His Child
  77. The Nature and Properties of Soil 15th Edition
  78. The Neuron - Cell and Molecular Biology 4th Edition
  79. The Next Step Forward in Guided Reading
  80. The Norton Anthology of American Literature 8th Edition Volume 1 (A, B)
  81. The Norton Anthology of American Literature 8th Edition Volume 2 (C, D, E)
  82. The Organic Chem Lab Survival Manual: A Student's Guide to Techniques, 10th Edition
  83. The Other World 9th Edition by Joseph n. Weatherby
  84. The Owner’s Dilemma - Driving Success and Innovation in the Design and Construction Industry
  85. The Oxford Handbook of Crime Prevention
  86. The Oxford Handbook of the Atlantic World: 1450-1850 – Nicholas Canny
  87. The Pearson Guide to Critical and Creative Thinking – Robert diyanni
  88. The Persian Gulf: The Rise of the Gulf Arabs, The Politics of Trade on the Persian Littoral, 1747-1792
  89. The Philosophy of Social Science_ An Introduction
  90. The Piano Lesson
  91. The PMP Exam: How to Pass on Your First Try 6th Edition
  92. The PMP Exam: Master and Leverage the ITTOs
  93. The Police in America 8th Edition
  94. The Political Consequences of Sacred Rhetoric
  95. The Power of Hope: Overcoming Your Most Daunting Life Difficulties, No Matter What
  96. The PowerScore LSAT Reading Comprehension Bible
  97. The PowerScore LSAT Logic Games Bible
  98. The PowerScore LSAT logical reasoning bible
  99. The Practice of Computing Using Python 3rd Edition by William F. Punch
  100. The Practice of Statistics in the Life Sciences 3rd Edition
  101. The Practice of Statistics in the Life Sciences 4th Edition
  102. The Premarital Counseling Handbook
  103. The Project Management Pocketbook
  104. The psychiatric interview 4th Edition
  105. The Psychologist as Detective: An Introduction to Conducting Research in Psychology 6th Edition
  106. The Psychology of Attitudes and Attitude Change 2nd Edition
  107. The Psychology of Exercise: Integrating Theory and Practice 5th Edition
  108. The Psychology of Selling
  109. The Public Life Of Australian Culturalism by Anthony Moran
  110. The Real World: An Introduction to Sociology 7th Edition
  111. The Reflexive Imperative in Late Modernity
  112. The Road since Structure by Thomas Kuhn
  113. The Room Where It Happened: A White House Memoir
  114. The Routledge Handbook of Environmental Justice
  115. The Routledge Handbook of Philosophy of Empathy
  116. The Science of Psychology An Appreciative View 3rd Edition
  117. The Seven Deadly Sins of Psychology: A Manifesto for Reforming the Culture of Scientific Practice
  118. The Shias of Pakistan: An Assertive and Beleaguered Minority
  119. The Sixth Extinction: An Unnatu by Elizabeth Kolbert
  120. The Skilled Helper: A Problem-Management and Opportunity-Development Approach to Helping
  121. The Smart Growth Manual
  122. The Special Needs SCHOOL Survival Guide: Handbook for Autism
  123. The SPIN Selling Fieldbook: Practical Tools, Methods, Exercises, and Resources
  124. The Squat Bible: The Ultimate Guide to Mastering the Squat and Finding Your True Strength
  125. The Standard Model in a Nutshell – Dave Goldberg
  126. The Strategy Factor in Successful Language Learning
  127. The Structure of Indian Society: Then and Now
  128. The Team Handbook Third Edition
  129. The Thirty Years War. A Sourcebook
  130. The Trouble with Unity: Latino politics and the creation of identity
  131. The Ultimate Guide to Weight Training for Racquetball & Squash
  132. The Unfinished Nation: A Concise History of the American 9th Edition
  133. The Very Witching Time of Night
  134. The Waterboxx Gardener: How to Mimic Nature, Stop Watering, and Start Enjoying Your Garden
  135. The West. A Narrative History, Volume 1. To 1660 3rd Edition
  136. The Will to Win
  137. The World Today: Concepts and Regions in Geography 7th Edition
  138. The World Trade Organization: Law, Practice, and Policy - Mitsuo
  139. Theatre, Brief 11th Edition
  140. Theories of Counseling and Psychotherapy: An Integrative Approach 2nd Edition
  141. Theories of Counseling and Psychotherapy: A Case Approach 4th Edition
  142. Theorizing Chinese Citizenship
  143. Theory and reality _ an introduction to the philosophy of science
  144. THEORY OF ELASTICITY AND FRACTURE MECHANICS
  145. Thinkers 50 Strategy: The Art and Science of Strategy Creation and Execution
  146. Thinking with Concepts
  147. Three Shots at Prevention: The HPV Vaccine and the Politics of Medicine's Simple Solutions
  148. Threshold Concepts in Women’s and Gender Studies - Ways of Seeing, Thinking, and Knowing
  149. Tile’s Revenue Law 1st Edition
  150. Tiruray Subsistence: from Shifting Cultivation to Plow Farming
  151. Tone and Inflection : New Facts and New Perspectives – Enrique L.
  152. Tooth and Nail: A Novel Approach to the SAT
  153. Tourist Attractions: Performing Race and Masculinity in Brazil's Sexual Economy
  154. Trading Code is Open: ST Patterns of the Forex and Futures Exchanges
  155. Trans Gender and Race in an Age of Unsettled Identities
  156. Transforming Civil War Prisons: Lincoln, Lieber, and the Politics of Captivity
  157. Transportation Planning by Prabir Kumar Sarkar & Vinay
  158. Troubles with Turtles by Dimitrios Theodossopoulos
  159. Turbine steam path: maintenance and repair. Volume Two-pennwell
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7. Instagram Mastery and Monetization – Josue Pena
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YOUTUBE courses

9. Jon Penberthy – Tube Ads Academy 2019
10. Dave Kaminski – YouTube Video Ads For Regular People
11. Dan Henry – YouTube Ads for Courses
12. JAMIE TECH – YOUTUBE COURSE
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14. Jordan Mackey – Youtube Advanced Masterclass
15. Graham Stephan – The YouTube Creator Academy
16. Kody – Youtube Mastery Class
17. Jordan Mackey – Make Money On Youtube Made Easy 2019
18. David Vlas – Youtube Compilation Machine
19. Matt Par – Make Money On YouTube without Making Videos
20. Hooman Nouri – YouTube Mastery [Download]
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22. David Vlas – Youtube Revenue Machine [Download]
23. Brko Banks Course – How To Make Money On Youtube [Download]
24. Jordan Mackey – Youtube Advanced Masterclass 2019 – Over $50k Per Month From Youtube
25. Sean Cannell – 10X Your Brand With YouTube
26. Paul Murphy – Affiliate YouTube Success
27. BECOME A SUCCESSFUL PRODUCT REVIEWER ON YOUTUBE
28. YouTube Marketing Become a Digital TV Star in Your Niche
29. Bulletproof Youtube Ads by Adskills

TIK TOK courses

30. Rachel – The TikTok Academy

TWITTER courses

31. Jose Rosado – Twitter Money Mastery
32. Twitter SEO Academy – Bradley Benner

FACEBOOK courses

33. Cat Howell – Facebook Ads That Convert 3.0
34. Patrick wind – Facebook Ads Accelerator
35. Joanna Wiebe – 10x Facebook Ads
36. Anissa Holmes – Facebook Bootcamp
37. Andra Vahl – Facebook Advertising Secrets
38. Rachel Miller – Moolah’s Grow Your Audience Course (Facebook Page Strategies)
39. Chris Winters – F.A.M. Facebook Agency Machine
40. Kallzu – Facebook Agency Machine
41. Joanna Wiebe – 10x Facebook Ads
42. Ben Adkins – Facebook Ads Backpack Guide Advanced 2019
43. Wholesale Hackers – Facebook Ads for Real Estate
44. Keith Krance – Facebook Ads University Elite 2019
45. Brian Pfeiffer & Ross Minchev – FaceBook Diet Made EZ Video Course
46. iStack Training – Facebook & Ecom Mastery event Barcelona Replay 2019
47. Istack Training – Facebook & Ecom Mastery event Las Vegas Replay 2019 [Download]
48. Manuel Suarez & Ben Cummings – Facebook Masters Course
49. Peter Parks – Social Ads For FB Marketing
50. Chris Winters – F.A.M. Facebook Agency Machine
51. Freedom Junkies – Crushing Facebook Ads
52. FB Ads Machine 2.0 – Dan DaSilva, Mike Dolev

FILMMAKE/VIDEO courses

53. Parker Walbeck – Full Time Filmmaker
54. Parker Walbeck – Course Creator Pro $ (only on request)
55. Werner Herzog – Teaches Filmmaking
56. Eric Thayne – Six Figure Filmmaker
57. Hollywood Camera Work – The Master Course
58. Bimber – Viral Magazine, Video, News WordPress Theme (DOWNLOAD)
59. Christopher Perilli – The Video Authority
60. Max Rylski – Video Graphics Bonanza V2
61. Video Motion Pro | The New Way to Create Highly Profitable Videos and Info Products Quickly and Easily
62. Ryan Deiss – Script a High Converting Video Sales Letter
63. First Page Videos – Brian Dean
64. Video Series AWE18 Replay
65. Zamurai Video Immersion
66. Ben Adkins – Clients From Video
67. Video Breakthrough Academy – Clark Kegley
68. Perfect Pitch Videos
69. How to Create Video Tutorials and Perform on Camera
70. Video Ads Traffic
71. 10X Your Conversion With a Video Landing Page

DROPSHIPPING courses

72. Scott Hilse – Simplified Dropshipping 3.0
73. SIMPLIFIED SHOPIFY DROPSHIPPING – SCOTT HILSE
74. ANTON KRALY – DROPSHIP LIFESTYLE 6.0
75. ANTON KRALY – DROPSHIP LIFESTYLE 5.0
76. Anton Kraly - Dropship Lifestyle
77. Biaheza's Full Dropshipping Course(for download)
78. Andrei Kreicbergs – eBay Dropshipping Coaching 2.0
79. Adam Thomas – Dropshipping Accelerator 2018
80. Hayden Bowles – Hacking Shopify Dropshipping
81. Paul Joseph – Dropshipping Titans
82. Kevin David – Shopify Dropshipping Ninja MasterClass
83. Online Auction Flipping (eBay dropshipping guide)
84. Dropshipping with Aliexpress Build and Launch your Store
85. Dream Dropshipping – Online Empire Academy(for download)
86. Advanced Dropshipping Class Till Boadella
87. Online Empire Academy – Dream Dropshipping – Value $997

EBAY and AMAZON courses

88. Beau Crabill – Full eBay Course
89. Roger & Barry – eBay Underground Sales
90. Online Auction Flipping (eBay dropshipping guide)
91. Andrei Kreicbergs – Ebay Dropshipping Coaching Course
92. Simon Charlton – eBay To Amazon Arbitrage Guide
93. eBay Powerseller academy: comprehensive in depth study
94. eBay for newbies: learn the basics to start selling on eBay
95. [Download] “The eCominomics Blueprint” – Resell on eBay/Amazon for PENNIES on the dollar
96. eBay: Make Money Flipping Cars On eBay
97. [Download] Ebay’s Quick Cash-Out 2.0
98. [Download] eBay Sellers Ultimate Bootcamp Double Your Profits
99. eBay Partner Network: Create Affiliate​ Home Business Fast
100. Cold Email Kings – The Exact COLD Email Sequence to Ultimately Partner with Amazon
101. Dan Meadors – The Amazon Wholesale Formula 2019
102. Michelle Barnum Smith – Amazon Messenger
103. Youngjoon Sun – Amazon FBA Mastermind
104. Matthew Gambrell – Amazon Assassin Drop Shipping Course
105. Augustas Kligys – European Amazon Summit
106. Get Seller Tradecraft – Amazon Playbook
107. Andrew Minalto – Amazon Sharks
108. Jordan Kilburn – Amazon Millionaire Mentorship Program
109. Philip A. Covington – The Ultimate Amazon Seller
110. Todd Snively, Chris Keef – Ecomm Elite Wholesale Amazon
111. Kale and Taylor – Nine University 2.0
LINKEDIN courses
112. Justin Welsh – The LinkedIn Playbook
113. Jimmy Coleman – LinkedIn Lead Challenge
114. Mike Cooch – LinkedIn Advertising Bootcamp
115. NATASHA VILASECA – LINKEDIN UNLEASHED
116. GROWING YOUR SMALL BUSINESS WITH LINKEDIN
117. LINKEDIN INCUBATOR – LIAM AUSTIN

TRADING courses

118. Stock Options Day Trading Mindset For Success
119. Wiseguys Revealed: Modern Flow Trading
120. ABS – Reese Shapiro – Binary Option Money Making Private Method
121. CF X UNIVERSITY – CARTER FX 2.0
122. TradeSmart College – Bollinger Bands Necessities
123. WARRIOR PRO TRADING COURSE
124. MAFIA TRADING – MINDSET TRADER DAY TRADING COURSE
125. TradeSmart College – Buying and selling Plans
126. STOCK TRADING SIMPLIFIED: THE COMPLETE GUIDE FOR BEGINNERS
127. FX CARTEL TRADING COURSE
128. INVESTOPEDIA ACADEMY BY DAVID GREEN
129. GREG CAPRA – PRISTINE STOCK TRADING METHOD(for download)
130. ADVANCE STOCK TRADING (SHORT TERM, SWING AND LONG TERM)
131. The Complete Trading Course – Price Patterns, Strategies, Setups, And Execution Tactics By Corey Rosenbloom
132. Cryptocurrency Trading And Ico Investment Masterclass 2018 | Blockchain
133. ROCKY DARIUS – Crypto Trading Mastery Course
134. The Trading Boss Method 1 And 2
135. RASHAD SMITH – 7 Figures Forex Course
136. The Forex Scalper Mentorship Package(for download)
137. PIPS UNIVERSITY – The Only Forex Course You Will Ever Need(For Download)
138. URBAN FOREX – Mastering Price Action
139. ATLAS FOREX – FOREX COURSE
140. FOREVER BLUE – FOREX COURSE
141. ANGEL TRADERS FOREX STRATEGY COURSE
142. MAKE MONEY WORK FROM HOME ONLINE TRADE FOREX 4 BEGINNERS
143. JASON STAPLETON – TRADERS WORKSHOP FOREX FULL COURSE
144. FOREX TRADING FOR NEWBIES
145. CRYPTO TRADING MASTERY COURSE

ECOM courses

146. Jared Goetz – Ecom Hacks Academy 2020
147. Marvin Hospes – eCom Success 3.0
148. Sarah Chrisp – Ecomm Clubhouse
149. Deepwork Labs – eCommerce Accelerator
150. Tony Folly – eCommerce Masterclass-How To Build An Online Business 2019
151. Vince Wang & Jordan Welch – eCom Accelerators Private Mastermind Replays
152. Gabriel St. Germain – eCom Blueprint 2.0
153. Ricky Hayes – Ecom Lifestyle University
154. Rafael Cintron – 7 Figure Ecommerce Inner Circle
155. iStack Traning – Ecommerce Mastery live Asia Thailand 2019
156. Tai Lopez – ECOM Agency
157. Ecom Titans – Keys To Consistency
158. Gabriel Beltran – The Ecom Millionaire Mastermind, Miami
159. Bill Dalessandro – Ecommerce: Product To Profit
160. Matt Gartner – eCom Lab
161. Arie Scherson – Ecom Inner Circle
162. Matt Gartner – 8 Hour eCommerce Profits
163. Justin Cener – eCommerce Bootcamp Mentor Program
164. Anthony Mastellone – eCom Success Lab
165. Earnest Epps – High Ticket eCom Secrets
166. Jon Mac – Ecommerce Accelerator
167. Seth Smith – Advanced Ecommerce Academy
168. Chris Blair – eCom Vantage

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169. CXL Institute – 10 Courses Marketing Bundle
170. Matt Serwin – Klaviyo Email Marketing Masterclass
171. Million Dollar Marketing Methods – 2020 SEO
172. Fred Joyal – Marketing Course for Dental Marketing
173. Justin Jackson – Marketing For Developers
174. Brian Bewer – Madcam Marketing 2.0
175. Tiz Gambacorta – Amik Affiliate Marketing Intensive Kickstarter
176. Matt Cramer & Shayne Hillier – Real Estate Marketing Student Beta Program v2.0
177. Sean Vosler – 7 Figure Marketing Copy
178. Russ Henneberry – Content Marketing Mastery Course 2019
179. Ted McGrath – Marketing Masters Map
180. Jon Penberthy – Legit Marketing Academy 2019
181. ConversionXL, Dan McGaw – Optimizing Your Marketing Tech Stack
182. Brandon Belcher – CPA Marketing University
183. Jeremy Haynes – Digital Marketing Manuscript 2.0 + DSP
184. Mohamed Ali Aguel – Momentum Marketing Tribe
185. Jordan Steen -The Digital Marketing School
186. James Jason – Mortgage Marketing Mastery
187. Digital Marketing Nanodegree v3
188. Sean Terry – Marketing Mastery X
189. Simon Colhoun – Affiliate Marketing & List Building Video Course
190. Saj P & Jeevan S – Zero Resistance Marketing
191. Simplilearn – Digital Marketing Certification Training
192. Billy Gene’s Gene Pool | billy gene is marketing
193. Stefan James – Affiliate Marketing Mastery
194. Jaiden Gross – 30-Day Affiliate Marketing Challenge Training
ADVERTISING/ ADS courses
195. Harmon Bothers – Write Ads That Sell
196. Dental Clients – Proven Tested Ads and Funnel 2019
197. Traffic and Funnels – Advertising Workshop
198. Eugene M. Schwartz – Breakthrough Advertising
199. Kody – Advanced Bing Ads Training
200. Mike Harri – Pinterest Ads Masterclass
201. Ross Minchev – Pin Ads Jumpstart
202. Patrick Wind – Ads Accelerator Program
203. Adskills – Search And Destroy Bootcamp
204. Duston McGroarty – Push Notification Ads Masterclass
205. Epic Mail Machine – $100K Deals With No Paid Ads
206. Tristan Broughton – Google Ads Ecom Academy
207. Google Ads Mastery 2019-2020
208. Justin Sardi – Video Ads Masterclass

SALES courses

209. Josh Braun – Sales DNA
210. Dan Kennedy – Ultimate Sales Letter 2.0
211. Jim Huffman – The ClickMinded Sales Funnel Course
212. Building Sales Funnels for Backend Profits
213. GKIC – The No B.S. Renegade Guide To Putting Together A Highly Effective Sales Team

SMMA courses

214. Joel Kaplan – SMMA 7 Figure Agency
215. Quenten Chad & Jovan Stojanovic – 30 Days SMMA
216. Nick Kenens – Cold Emails for SMMA

COPYWRITING courses

217. Jim Edwards – Copywriting Secrets
218. Kyle – The Process A Draft By Draft Copywriting Walkthrough
219. Kim Krause Schwalm – Ultimate KKS Bundle (Copywriting)
220. Ray Edwards – Copywriting Academy 2
221. Shortcut Copywriting Secrets
222. Paul Hollingshead – AWAI’s Accelerated Program for Six-Figure Copywriting
223. Pam Foster – Direct Response Copywriting Course
224. Writing Tools & Hacks Copywriting/Blogging/Content Writing (Download)
225. AWAI – The Web Copywriter’s Clear Path to Profits

BLOGGING courses

226. Sarah Titus – Best Blogging Bundle
227. Ahrefs Academy – Blogging for business
228. WordPress Blogging How To Start A WordPress Blog
229. Blogging to Generate Leads: Business Blogging Essentials
CONSULTING courses
230. IMQueen – 1 Hour Consulting
231. Alex Becker – Hero Consulting Accelerator
232. Joe Soto – Local Consulting Academy Update last
233. Sabri Suby – Consulting Empire
234. John Shea – The SEO Consulting Blueprint (DOWNLOAD)
235. John Logar – Consulting Rocket
236. Sam Ovens – The Consulting Blueprint Complete

AGENCY courses

237. Elizetxe – Agency Blueprint
238. Sebastian Robeck and Bryan Ostemiller – Agency Hyper Growth
239. Michael Laurens – Agency Accelerator
240. Mariah Miller – Agency Takeoff
241. Jeff Miller – The Agency Scaling Secrets Trainings And Masterclasses
242. Natasha Takahashi – The Chatbot Agency Accelerator
243. Alex Brittingham – Agency Growth Hack
244. Jason Wardrop – The 6 Figure Agency Blueprint
245. Jeff Millers – Agency Scaling Secret
246. Bob Mangat – 7 Figure Agency Update-1
247. Joseph Davis – Underground Agency Playbook
248. Joseph Davis – Digital Agency Masterclass
249. Get Chris Record – Digital Agency Builders 2019
250. Brian Willie – Maps Liftoff Agency
251. Robb Quinn – Agency in a Box

EMAIL courses

252. Ben Settle – Email Players List Swell
253. Mike Shreeve – Email Academy
254. Alex Berman – Email 10k
255. Ezra Firestone – Smart Email Marketing 2.0
256. Matt Bacak – Email Marketing Specialist
257. HOW TO SEND UNLIMITED EMAILS STEP BY STEP
258. Ben Adkins – Cold Email Clients
259. Email Prospecting Blitz
260. Justin Cener – 97 Done For You Email Templates

BUSINNES courses

261. Max Tornow – Freedom Business Mentoring
262. Caity Hunt – Home Business Freedom Formula
263. John Whiting – Business Growth for Entrepreneurs
264. Josh Hall – Web Design Business Course
265. Andre Chaperon – Lean Business For Creators
266. Katie Yeakle – Secrets of Writing High-Performance Business-to-Business Copy
267. Beau Crabill – Credit Cards for Business

MANAGEMENT courses

268. Tai Lopez – Home Sharing Management Company
269. Ezra Firestone – Traffic MBA – Smart Project Management
ORATORY, CHARISMA, PERSUASION, FOCUS and MIND courses
270. Charlie Houpert – Charisma University
271. Jason Capital – The DOMINANCE
272. Jim Kwik – Unleash Your Brain
273. Vanessa Van Edwards – People School Science of People
274. Ramit Sethi – How To Talk To Anybody (Complete)
275. Magnetic Influence – Dani Johnson
276. Lazy Consultant System – Mitch Miller
277. Professional Speakers Academy – Andy Harrington
278. Unlimited Persuasion Power
279. Creating Fame Complete – Laura Roeder
280. [Download] HypnoRitual
281. Conversion XL – Digital Psychology and Persuasion Minidegree
282. Fascinate Your 7 Triggers to Persuasion and Captivation – Sally Hogshead
283. Persuasion IQ The 10 Skills You Need To Get Exactly What You Want
284. Power of Persuasion – Eben Pagan
285. Unlimited Persuasion Power
286. Course Builder’s Laboratory – Danny Iny
287. Bob Proctor – Magic In Your Mind
288. Mind Body Eating Online Conference
BOTS courses
289. Steve Larsen – ChatBots For MLM
290. Brian Anderson – Quantum Chat Bots
291. Nick Moreno – Messenger Bots For Entrepreneurs
292. Scott Oldford and Katya Sarmiento – Bots for Business
293. Bastian Ernst – Funnel Bots Pro
OTHER COURSES
294. Asian Efficiency – Finisher’s Fastlane
295. Colin Dijs – December Mastermind 2019
296. The Lending Lead Gen Academy
297. Stu McLaren – Tribe 2019
298. Yuping Want – Sourcing Warrior Mastermind
299. Carl Allen – Dealmaker Wealth Society
300. Nick Torson & Max Sylvestre – Quit 9 To 5 Academy
301. Bob Diamond – The Overages Blueprint 2019
302. Get Aidan Booth and Steven Clayton – Parallel Profits
303. Harlan Kilstein – Sneaker Riches
304. Tony Robbins, Dean Graziosi – The Knowledge Broker Blueprint
305. Mitch Harper – 60 Day Startup
306. RSD max - The Natural
307. Guru Siphon Formula – 6 modules & 143 videos
308. Andre Chaperon – Lean Business For Creators
309. Todd Brown – Borrowed Best Seller
JASON CAPITAL courses
310. Instagram Agent System
311. Conversation God 2019
312. Email Income Experta
313. Sales god
314. High Income Weekly Skills Training
315. Status Unleashed (bonus)
316. THE JASON CAPITAL COPYWRITING CERTIFICATION PROGRAM
TAI LOPEZ courses
317. Tai Lopez - SMMA 2.0
318. Tai Lopez - Cashflow System
319. Tai Lopez - Digital Social Marketing Consultant
320. TAI LOPEZ – PRIVATE MENTOR CONFERENCE 2018
321. TAI LOPEZ –ENTREPRENEURS STARTER KIT
DAN LOK courses
322. DAN LOK – HIGH TICKET CLOSER
323. Dan Lok – Instagram Secret 2019
324. DAN LOK – PERFECT CLOSING SCRIPT
325. DAN LOK – TUBE YOUR OWN HORN
326. DAN LOK – 6 STEPS TO 6 FIGURES

IMAN GADZHI courses

327. IMAN GADZHI – AGENCY INCUBATOR
328. IMAN GADZHI – SIX FIGURE SMMA
329. IMAN GADZHI – INFLUENCER IGNITED 2.0
330. IMAN GADZHI – KAIZEN CURE
331. IMAN GADZHI – PEN TO PROFIT MEMBERSHIP
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3.3 How to implement strategies in M language

3.3 How to implement strategies in M language

Summary

In the previous article, we explained the premise of realizing the trading strategy from the aspects of the introduction of the M language , the basic grammar, the model execution method, and the model classification. In this article, we will continue the previous part, from the commonly used strategy modules and technologies. Indicators, step by step to help you achieve a viable intraday quantitative trading strategy.

Strategy Module

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https://preview.redd.it/a4l7ofpuwxs41.png?width=1517&format=png&auto=webp&s=3f97ea5a7316edd434a47067d9b76c894577d01d

Stage Increase

Stage increase is calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. For example: Computing the latest 10 K-lines stage increases, can be written:
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CLOSE_0:=CLOSE; //get the current K-line's closing price, and save the results to variable CLOSE_0. CLOSE_10:=REF(CLOSE,10); //get the pervious 10 K-lines' closing price, and save the results to variable CLOSE_10 (CLOSE_0-CLOSE_10)/CLOSE_10*100;//calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference.

New high price

The new high price is calculated by whether the current K line is greater than N cycles' highest price. For example: calculating whether the current K line is greater than the latest 10 K-lines' highest price, can be written:
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HHV_10:=HHV(HIGH,10); //Get the highest price of latest 10 K-lines, which includes the current K-line. HIGH>REF(HHV_10,1); //Judge whether the current K-line's highest price is greater than pervious K-lines' HHV_10 value.

Price raise with massive trading volume increase

For example: If the current K line's closing price is 1.5 times of the closing price of the previous 10 K-lines, which means in 10 days, the price has risen 50%; and the trading volume also increased more than 5 times of the pervious 10 K-lines. can be written:
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CLOSE_10:=REF(CLOSE,10); //get the 10th K-line closing price IS_CLOSE:=CLOSE/CLOSE_10>1.5; //Judging whether the current K Line closing price is 1.5 times greater than the value of CLOSE_10 VOL_MA_10:=MA(VOL,10); //get the latest 10 K-lines' average trading volume IS_VOL:=VOL>VOL_MA_10*5; //Judging whether the current K-line's trading volume is 5 times greater than the value of VOL_MA_10 IS_CLOSE AND IS_VOL; //Judging whether the condition of IS_CLOSE and IS_VOL are both true.

Price narrow-shock market

Narrow-shock market means that the price is maintained within a certain range in the recent period. For example: If the highest price in 10 cycles minus the lowest price in 10 cycles, the result divided by the current K-line's closing price is less than 0.05. can be written:
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HHV_10:=HHV(CLOSE,10); //Get the highest price in 10 cycles(including current K-line) LLV_10:=LLV(CLOSE,10); //Get the lowest price in 10 cycles(including current K-line) (HHV_10-LLV_10)/CLOSE<0.05; //Judging whether the difference between HHV_10 and LLV_10 divided by current k-line's closing price is less than 0.05.

Moving average indicates bull market

Moving Average indicates long and short direction, K line supported by or resisted by 5，10，20，30，60 moving average line, Moving average indicates bull market or bear market. can be written:
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MA_5:=MA(CLOSE,5); //get the moving average of 5 cycle closing price. MA_10:=MA(CLOSE,10);//get the moving average of 10 cycle closing price. MA_20:=MA(CLOSE,20);//get the moving average of 20 cycle closing price. MA_30:=MA(CLOSE,30);//get the moving average of 30 cycle closing price. MA_5>MA_10 AND MA_10>MA_20 AND MA_20>MA_30; //determine wether the MA_5 is greater than MA_10, and MA_10 is greater than MA_20, and MA_20 is greater than MA_30.

Previous high price and its locations

To obtain the location of the previous high price and its location, you can use FMZ Quant API directly. can be written:
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HHV_20:=HHV(HIGH,20); //get the highest price of 20 cycle(including current K line) HHVBARS_20:=HHVBARS(HIGH,20); //get the number of cycles from the highest price in 20 cycles to current K line HHV_60_40:REF(HHV_20,40); //get the highest price between 60 cycles and 40 cycles.

Price gap jumping

The price gap is the case where the highest and lowest prices of the two K lines are not connected. It consists of two K lines, and the price gap is the reference price of the support and pressure points in the future price movement. When a price gap occurs, it can be assumed that an acceleration along the trend with original direction has begun. can be written:
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HHV_1:=REF(H,1); //get the pervious K line's highest price LLV_1:=REF(L,1); //get the pervious K line's lowest price HH:=L>HHV_1; //judging wether the current K line's lowest price is greater than pervious K line's highest price (jump up) LL:=H1.001; //adding additional condition, the bigger of the price gap, the stronger the signal (jump up) LLL:=H/REF(L.1)<0.999; //adding additional condition, the bigger of the price gap, the stronger the signal (jump down) JUMP_UP:HH AND HHH; //judging the overall condition, whether it is a jump up JUMP_DOWN:LL AND LLL; //judging the overall condition, whether it is a jump down

Common technical indicators

Moving average
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https://preview.redd.it/np9qgn3ywxs41.png?width=811&format=png&auto=webp&s=39a401b5c9498a13d953678c0c452b3b8f6cbe2c
From a statistical point of view, the moving average is the arithmetic average of the daily price, which is a trending price trajectory. The moving average system is a common technical tool used by most analysts. From a technical point of view, it is a factor that affects the psychological price of technical analysts. The decision-making factor of thinking trading is a good reference tool for technical analysts. The FMZ Quant tool supports many different types of moving averages, as shown below:
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MA_DEMO:MA(CLOSE,5); // get the moving average of 5 cycle MA_DEMO:EMA(CLOSE,15); // get the smooth moving average of 15 cycle MA_DEMO:EMA2(CLOSE,10);// get the linear weighted moving average of 10 cycle MA_DEMO:EMAWH(CLOSE,50); // get the exponentially weighted moving average of 50 cycle MA_DEMO:DMA(CLOSE,100); // get the dynamic moving average of 100 cycle MA_DEMO:SMA(CLOSE,10,3); // get the fixed weight of 3 moving average of closing price in 10 cycle MA_DEMO:ADMA(CLOSE,9,2,30); // get the fast-line 2 and slow-line 30 Kaufman moving average of closing price in 9 cycle.

Bollinger Bands

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https://preview.redd.it/mm0lkv00xxs41.png?width=1543&format=png&auto=webp&s=a87bdb4feecf97cbeef423b935860bfea85ffe6d
Bollinger bands is also based on the statistical principle. The middle rail is calculated according to the N-day moving average, and the upper and lower rails are calculated according to the standard deviation. When the BOLL channel starts changing from wide to narrow, which means the price will gradually returns to the mean. When the BOLL channel is changing from narrow to wide, it means that the market will start to change. If the price is up cross the upper rail, it means that the buying power is enhanced. If the price down cross the lower rail, it indicates that the selling power is enhanced.
Among all the technical indicators, Bollinger Bands calculation method is one of the most complicated, which introduces the concept of standard deviation in statistics, involving the middle trajectory ( MB ), the upper trajectory ( UP ) and the lower trajectory ( DN ). luckily, you don't have to know the calculation details, you can use it directly on FMZ Quant platform as follows:
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MID:MA(CLOSE,100); //calculating moving average of 100 cycle, call it Bollinger Bands middle trajectory TMP2:=STD(CLOSE,100); //calculating standard deviation of closing price of 100 cycle. TOP:MID+2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it upper trajectory BOTTOM:MID-2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it lower trajectory

MACD Indicator

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https://preview.redd.it/9p3k7y42xxs41.png?width=630&format=png&auto=webp&s=b1b8078325fc142c1563a1cf1cc0f222a13e0bde
The MACD indicator is a double smoothing operation using fast (short-term) and slow (long-term) moving averages and their aggregation and separation. The MACD developed according to the principle of moving averages removes the defect that the moving average frequently emits false signals, and also retains the effect of the other good aspect. Therefore, the MACD indicator has the trend and stability of the moving average. It was used to study the timing of buying and selling stocks and predicts stock price change. You can use it as follows:
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DIFF:EMA(CLOSE,10)-EMA(CLOSE,50); //First calculating the difference between short-term moving average and long-term moving average. DEA:EMA(DIFF,10); //Then calculating average of the difference.
The above is the commonly used strategy module in the development of quantitative trading strategies. In addition, there are far more than that. Through the above module examples, you can also implement several trading modules that you use most frequently in subjective trading. The methods are the same. Next, we began to write a viable intraday trading strategy.

Strategy Writing

In the Forex spot market, there is a wellknown strategy called HANS123. Its logic are basically judging wether the price breaks through the highest or lowest price of the number of K lines after the market opening

Strategy logic

  • Ready to enter the market after 30 minutes of opening;
  • Upper rail = 30 minutes high after opening ;
  • Lower rail = 30 minutes low after opening ;
  • When the price breaks above the upper limit, buy and open the position;
  • When the price falls below the lower rail, the seller opens the position.
  • Intraday trading strategy, closing before closing;

Strategy code

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// Data Calculation Q:=BARSLAST(DATA<>REF(DATA,1))+1; //Calculating the number of period from the first K line of the current trading day to current k line, and assign the results to N HH:=VALUEWHEN(TIME=0930,HHV(H,Q)); //when time is 9:30, get the highest price of N cycles, and assign the results to HH LL:=VALUEWHEN(TIME=0930,LLV(L,Q)); //When time is 9:30, get the lowest price of N cycles, and assign the results to LL //Placing Orders TIME>0930 AND TIME<1445 AND C>HH,BK; //If the time is greater than 9:30 and lesser than 14:45, and the closing price is greater than HH, opening long position. TIME>0930 AND TIME<1445 AND C=1445,CLOSEOUT; //If the time is greater or equal to 14:45, close all position. //Filtering the signals AUTOFILTER; //opening the filtering the signals mechanism

To sum up

Above we have learned the concept of the strategy module. Through several commonly used strategy module cases, we had a general idea of the FMZ Quant programming tools, it can be said that learning to write strategy modules and improve programming logic thinking is a key step in advanced quantitative trading. Finally, we used the FMZ Quant tool to implement the trading strategy according a classical Forex trading strategy.

Next section notice

Maybe there are still some confusion for some people, mainly because of the coding part. Don't worry, we have already thought of that for you. On the FMZ Quant platform, there is another even easier programming tool for beginners. It is the visual programming, let's learn it soon!
submitted by FmzQuant to CryptoCurrencyTrading [link] [comments]

How to assemble lots of csv files into a master workbook for Power Query?

Hello excel
I have a web scrapper collecting data into a csv. The csv file is named with the day’s date that the data came from and so is the sheet inside it that holds the data. Here is what that looks like -> I have been collecting data for 14 days, hence I have 14 csv files.
What’s in the csv file? Size in column A, price in column B, and a timestamp (h:mm:ss.000) in column C. I am collecting trade data from the USD-AUD Forex market.
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A (Size) B (Price) C (Time)
1 500 $1.48 18:00:37.564
2 1200 $1.47 18:01:45.123
This is oversimplified, as there are tens of thousands of rows sometimes. I would like to run analysis on this data, I am curious as to the best practice for organizing this data for analyzation via power query and power pivot?
Current method is creating a master xlsx file, then I open up each csv file one by one and use the ‘move/copy’ to create a copy in this master workbook. Now that I have all the data sorted in sheets that are labeled with the dates they came from, I am wondering if I am doing this the best way or if I should be loading them in through power query or something. I am fairly new to power query and power pivot but I learn very quick.
Would a database be a better idea for this data? Each market generates around 30-80k trades on an average day, however that can approach 200k to 400k rows when there is volatility.
I welcome any analytical advice you might have, especially if you're a trader. I am attempting to look at the coupling/decoupling of several markets, this being one, as a potential tool for trading targets and am open to any suggestions on how analyze this.
submitted by LavishManatee to excel [link] [comments]

GBPJPY Trend Invalidation Signals and Contingency Plans

GBPJPY Trend Invalidation Signals and Contingency Plans
Took multiple losses on GBPJPY as it ran through all the trend continuation setups, and the persistence of how it has done this move is something that gives us reason to re-assess trade plans, and be diligent on risks as well as opportunities the conditions we are now in may present.
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I feel like I've seen this movie before. Usually when getting squeezed in a trend continuation, there are a few hits you have to take and then there is a big pay off. As a general rule, the better the move will be the harder it is to position for. So early losses on this were all within the acceptable margin of error in this strategy (I think I also made setup errors, which was bad. I can do better on that). After we ran some more setups (that looked fully valid at time of execution), I noped out. Stopped selling, and waited to see what happened.
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Last time I remember being on the wrong side of such a fierce move of this form on GBPJPY was similar. Done well shorting, scalped some buys at a support, then reversed into the "correction" - and it went parabolic against me. I remember this well, because in the coming week there were news reports of the GBP having it's best day/week in a yeadecade (I forget specifics, but GBP was in the news for the rally). In the week after that, the high was made .... because that was when Brexit happened.
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What happened there, from a charting perspective, is we went into a 2 week corrective cycle and then started another impulsive wave. If this happens we may see something spectacular in GBPJPY in the near term. This may feature a record breaking rally (or at least strong one) into 145, and even 155 (current price 130). From there, we may start a new trend taking the market into the large chart forecasts of 89 and 61.
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I can retire if that happens. Absolutely. I'm going to plan, with various contingencies, for something like that possibly happening. In this post I''ll show what warnings signs we got over the last days as sellers. Where our main dangers will be as buyers. The levels as which we can be more sure buyers have won out in the short term, and also where the possible spikes low could come and how we'd trade them / what we'd do next.
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I'll use MT4 charting for this analysis, since it will require a lot of different fibs and patterns assessment, I find fibs on MT4 quicker to work with than cTrader.
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The Big Gartley Pattern

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So the first thing we want to establish is where the buyers are coming from. Double bottom is accurate, but a bit vague. If we look closer, we can see the daily chart pinging off the 61.8 and 76 fib levels. This would be consistent with a Gartley pattern, and this would be a bullish reversal pattern (If successful). We have a couple probable scenarios here. One is a big break and move lower, and the other is a persistent move up in a small time frame trending chart form.
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https://preview.redd.it/ycjwj3bsxmk31.png?width=806&format=png&auto=webp&s=94198bcff8cdf3e9b4cae306496bd91b5477a7f0
Let's look closer and see what the last days of trading have suggested to us about this.
Here is the 1 hour chart around the 76 level.
https://preview.redd.it/1c31uqv4qmk31.png?width=809&format=png&auto=webp&s=47df97d3f4f31238bacbb20282f8495399e01527
We've possibly formed the start of a second trend leg in the recent move up. Our best move here would be wait for a dip, buy into that and then run the trend upwards. We should see more strong moves like today, and these should be in nice structured form giving us easy entries and exits. This would be a good scenario for trading.
If a spike out is to form from this level, we'd now have it in a clear butterfly pattern. So we'd look for a 1.61 extension of this swing giving us a projected low of 125 area. This would be a harder move to trade. We either have to keep selling into the resistance levels and risk multiple small losses, or wait for momentum downwards and use breakout strategies. I feel method one has failed this week. We can perhaps look more at method two in a close under 128 (which will not happen if we are to trend).
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https://preview.redd.it/djz31dxdrmk31.png?width=814&format=png&auto=webp&s=ce05f051a785177e7598e8c4f430224183366013
As buyers, the possibility of this take out low move is our main danger. We have to be aware this can happen and it will be a fast move if it does. Risk control is important.

Bullish Scenarios

For now I am going to work on trade plans for if price remains above 128.50 and indicates bullish momentum. I want to work on targets and then reversal areas.
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When we use the analysis above and consider we may be entering into big corrective leg, we can consider that this might be a 'ping swing' like move.
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https://preview.redd.it/s9fyuyhmsmk31.png?width=813&format=png&auto=webp&s=8aa69ac8b99bbd3874593a60fcf6e76b930be911
Remember the main characteristics of a ping swing. It's very strong. The move is parabolic. There's a spike out of major levels, and then there is an impulse leg.
Weigh that against the price action I described the last time I seen the same setup on GBBPJPY running into Brexit. The market followed that same template of price movements, and then came down in spectacular fashion.
This is where our main opportunity is, and this is where it seem the smart way to be betting is at this time. If the lows made here are taken out, we can look for positions around 125 to load up for this (a spike out and rally is still valid).
In the immediate term, we can just buy dips. Use tight stops and get high RR if it runs up, have very small losses to the downside. A correction from 130.20 to 128.50 gives us a great buying opportunity to get started in this move (buying over 130 but under 130.60 I think is a bad trade. Better to wait)
If we can establish a good buy position and see a ping swing move (which would be 2,000 pips - and GBPJPY can do this without many pullbacks, it's wild) the profit potential on this is enormous. Very small risks can be taken for extreme profits on the other end. If we do this and make good profits in the run up to that, we can then use a portion of these profits to position aggressively on the 61.8 spike out, and maybe have big positions in a decade long breakout to the downside in GBPJPY.
Whether or not there is a spike out low, when buying our first target is 145.00. This is either buying from 128.50 or 125 if that trade does not work out.
It would be very dangerous to sell if there is a spike out low into 125. Selling here could be brutal in the whip against you (as could selling in the leg we have but not getting out quick). For some perspective on this, GBPJPY went from 145 to 160 in only a couple strong trading days the last time we had conditions similar to this. The possibility of this, makes it a bad time to be a seller - horrible time to be a stubborn one.
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Wrap up.
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No buys 130 - 130.50. Possible buys if there is a break of this.
Sells possible in this area, but risky. Not great RR. I'd not bother.
Buy level 1 - 128.50. 143 could be swing target here.
128 major bear break area. Danger of fast move here. Cut buys.
125 if met in spike, big buying area. Target 143 and stop 123 (tighter with price action).
145 first major upside resis. If we break this, 155.
Absolutely no selling into parabolic moves on GBPJPY at levels not mentioned here, isn't worth it.
submitted by whatthefx to u/whatthefx [link] [comments]

THE LION KING ARRIVING

THE LION KING ARRIVING
The Lion King is a 2019 American photorealistic computer-animated musical drama film directed and produced by Jon Favreau, with a screenplay written by Jeff Nathanson, and produced by Walt Disney Pictures. It's a photorealistic computer-animated remake of Disney's traditionally animated 1994 film of the same name. The movie stars the voices of Donald Glover, Seth Rogen, Chiwetel Ejiofor, Alfre Woodard, Billy Eichner, John Kani, John Oliver and Beyoncé Knowles-Carter, in addition to James Earl Jones reprising his authentic position as Mufasa.
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https://preview.redd.it/egn6js7pgga31.jpg?width=2000&format=pjpg&auto=webp&s=95de0dc3a49272a75fa9a52df48f44cb714191ff
Plans for a remake of The Lion King have been confirmed in September 2016 following the success of the studio's The Jungle Book, additionally directed by Favreau. A lot of the principle forged signed in early 2017 and principal production started in mid-2017 on a blue screen stage in Los Angeles.
The movie is scheduled to be theatrically launched in America on July 19, 2019. It obtained blended evaluations, with the reward for its visible results and vocal performances, whereas receiving criticism for being extremely spinoff of the unique and the dearth of emoting within the animated lion characters relative to the unique.
Disney’s upcoming movie journeys to the African savanna the place a future king is born. Simba idolizes his father, King Mufasa, and takes to coronary heart his personal royal future. However, not everybody within the kingdom celebrates the brand new cub’s arrival. Scar, Mufasa’s brother—and former inheritor to the throne—has plans of his personal. The battle for Satisfaction Rock is ravaged with betrayal, tragedy and drama, finally leading to Simba’s exile. With an assist from a curious pair of newfound pals, Simba must determine to find out how to develop up and take again what's rightfully his.
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✪✪✪✪✪ FOREX IN WORLD ✪✪✪✪✪

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Voice forged

Foremost article: List of The Lion King characters
  • Donald Glover as Simba: A lion who's the crown prince of the Satisfaction Lands. Glover mentioned that the movie will focus extra on Simba's time rising up than the unique movie did, stating that "[Favreau] was very eager in ensuring we noticed [Simba's] transition from boy to man and the way laborious that maybe when there's been a deep trauma".[5]
    • JD McCrary as younger Simba.
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https://preview.redd.it/55z18xhsgga31.jpg?width=480&format=pjpg&auto=webp&s=ef79d959d87a86c000d24b50539e631a9ea47956
  • Seth Rogen as Pumbaa: A slow-witted common warthog who befriends and adopts a younger Simba after he runs away from dwelling. Rogen mentioned, "[a]s an actor, I [...] do not suppose I am proper for each position — there are numerous roles I do not suppose I am proper for even in motion pictures I am making — however, Pumbaa was one I knew I may do properly".[6]
  • Chiwetel Ejiofor as Scar: The treacherous brother of Mufasa and the uncle of Simba who seeks to take the mantle of king of the Satisfaction Lands. Ejiofor described Scar as extra "psychologically possessed" and "brutalized" than within the authentic movie.[6] Ejiofor mentioned that "particularly with Scar, whether or not it is a vocal high quality that permits for a sure confidence or a sure aggression, to at all times know that on the finish of it you are enjoying someone who has the capability to show everything on its head in a break up second with outrageous acts of violence – that may fully change the temperature of a scene".[6] Ejiofor additionally mentioned that "[Scar and Mufasa's] relationship is totally destroyed and brutalized by Scar's mindset. He is possessed with this illness of his personal ego and his personal need".[5] Favreau mentioned of casting Ejiofor, "[He] is only an incredible actor, who brings us a little bit of the mid-Atlantic cadence and a brand new tackle the character. He brings that feeling of a Shakespearean villain to bear due to his background as an actor. It is great when you have got someone as skilled and seasoned as Chiwetel; he simply breathes such great life into this character.
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https://preview.redd.it/xik5ye7vgga31.png?width=756&format=png&auto=webp&s=ed6380f8ce8070d9de0b3e7190758b14152bc36b
  • Alfre Woodard as Sarabi: The Queen of the Satisfaction Lands, Mufasa's mate, and Simba's mom.
  • Billy Eichner as Timon: A wise-cracking meerkat who befriends and adopts a younger Simba after he runs away from dwelling.
  • John Kani as Rafiki: A smart mandrill who serves because of the shaman of the Satisfaction Lands and an in-depth buddy of Mufasa's.[7] Likening his position to that of a grandfather, Kani mentioned, "Rafiki reminds all of us of that particular smart relative. His knowledge, humour and his loyalty to the Mufasa dynasty is what warms our hearts in direction of him. [He's] at all times blissful and wisecracking jokes as classes of life and survival.
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✪✪✪✪✪ FOREX IN WORLD ✪✪✪✪✪

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  • John Oliver as Zazu: A red-billed hornbill who's the majordomo to the King of the Satisfaction Lands. Talking of his position, Oliver mentioned, "I believe Zazu is mainly a fowl who likes construction. He simply desires issues to be as they need to be. I believe there are British echoes there as a result of we are inclined to favour construction in lieu of getting an emotional response to something."[1]
  • Beyoncé Knowles-Carter as Nala: Simba's childhood greatest buddy and future love curiosity. In accordance with Favreau, the character has a much bigger position than within the authentic movie.[8]Favreau felt that "a part of [Beyoncé joining the film] is that she's bought younger children, a part of it's that it is a story that feels good for this part of her life and her profession, and he or she actually likes the unique very a lot. After which, after all, there are these great musical numbers that she could be concerned with, and my God... she actually lives as much as her fame so far as the fantastic thing about her voice and expertise".
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https://preview.redd.it/whc87s3fhga31.jpg?width=1200&format=pjpg&auto=webp&s=01346be25f62e54b16b9a395a733e98dd4af4a48
  • Shahadi Wright Joseph as younger Nala. Joseph reprises her position from the Broadway production.[10] Joseph selected to work on the movie as a result of "Nala conjures up little ladies [...] She's an excellent position mannequin".
  • James Earl Jones as Mufasa: The King of the Satisfaction Lands and the daddy of Simba. Jones reprises his position from the unique 1994 animated movie. In accordance with Favreau, Jones' strains stay principally the identical from the unique movie.[6] Ejiofor mentioned that "the consolation of [Jones reprising his role] goes to be very rewarding in taking [the audience] on this journey once more. It is a once-in-a-generation vocal high quality". Favreau noticed Jones' return as "carrying the legacy throughout" the unique movie and the remake, and felt that his voice's change in tonality in comparison with the unique movie "served the position properly as a result of he feels like a king who's nominated for a very long time".
Florence Kasumba, Keegan-Michael Key, and Eric Andre voice Shenzi, Kamari, and Azizi, three spotted hyenas who're Scar's henchmen. Whereas Shenzi is a personality that was featured within the authentic 1994 animated movie, Kamari and Azizi are the respective renames of Banzai and Ed from the unique movie. The hyenas' characterizations have been closely altered from the unique movie's, as Favreau felt that they "needed to change so much" to suit the remake's reasonable fashion, stating that "[a] lot of the stuff around them [in the original film] was very stylised".[13]Kasumba elaborated, declaring that "These hyenas have been humorous. These hyenas are harmful.
Moreover, Penny Johnson Jerald voices Sarafina, Nala's mom.[1] Amy Sedaris, Chance the Rapper and Josh McCrary voice a guinea fowl, a bush baby, and an elephant shrew, respectively, Timon and Pumbaa's neighbours within the jungle.[1][14] Phil LaMarr voices an impala, whereas J. Lee voices a hyena.

Manufacturing

Growth

On September 28, 2016, Walt Disney Pictures confirmed that Jon Favreau can be directing a remake of the 1994 animated movie The Lion King, which might characteristic the songs from the 1994 movie, following a string of latest field workplace successes on the opposite Disney live-action remake movies comparable to Maleficent), Cinderella), Favreau's The Jungle Book) and Beauty and the Beast), with the latter three additionally incomes important reward.[15]#citenote-15) On October 13, 2016, it was reported that Disney had employed Jeff Nathanson to write down the screenplay for the remake,[[16]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-16) with the story written by Brenda Chapman, who was the unique movie's head of story.[[17]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-LionKingEverythingKnow-17)
In November, speaking with ComingSoon.net, Favreau mentioned the digital cinematography expertise he utilized in The Jungle Ebook can be used to a larger diploma in The Lion King.[18]#citenote-18) Though the media reported The Lion King to be a live-action movie, it really makes use of photorealistic computer-generated animation. Disney additionally didn't describe it as live-action, solely stating it could comply with the "technologically groundbreaking" strategy of The Jungle Ebook.[[19]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-19) Whereas the movie acts as a remake of the 1994 animated movie, Favreau was impressed by the Broadway adaptation) of the movie for certain points of the remake's plot, notably Nala and Sarabi's roles.[[20]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-20) Favreau additionally aimed to develop his personal tackle the unique movie's story with what he mentioned was "the spectacle of a BBC wildlife documentary".[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-FavreauVideoGame-21)
This serves as the ultimate credit score for movie editor Mark Livolsi, who died in September 2018.[22]#citenote-22) The movie is devoted to him.[[1]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-PressKit-1)

Casting

In mid-February 2017, Donald Glover was forged as Simba, with James Earl Jones reprising his position as Mufasa from the 1994 movie.[23]#citenote-23) In April 2017, Billy Eichner and Seth Rogen have been forged to play Timon and Pumbaa respectively.[[24]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-24) In July 2017, John Oliver was forged as Zazu.[[25]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-OliverCast-25) In August 2017, Alfre Woodard and John Kani have been introduced to play Sarabi and Rafiki), respectively.[[26]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-26)[[27]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-27)
Earlier in March 2017, it was introduced that Beyoncé was Favreau's best choice for the position of Nala) and that the director and studio can be keen to do no matter it took to accommodate her busy schedule.[28]#citenote-28) In a while November 1, 2017, her position was confirmed in an official announcement,[[29]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-29)[[30]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-30) which additionally confirmed that Chiwetel Ejiofor would play the position of Scar), and introduced that Eric Andre, Florence Kasumba, and Keegan-Michael Key would be the voices of Azizi, Shenzi and Kamari whereas JD McCrary and Shahadi Wright Joseph would be the voices of younger Simba and younger Nala, respectively.[[31]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-31)[[32]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-32)[[33]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-33)[[34]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-34)[[35]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-35) In November 2018, Amy Sedaris was introduced as having been forged in a task created for the movie.[[36]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-36)
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https://preview.redd.it/z07sy0ajhga31.jpg?width=700&format=pjpg&auto=webp&s=408b58a2cc2475200dcb12819ecae96bfb73b880

Visible results

The Moving Picture Company, the lead vendor on The Jungle Ebook, will present the visible results and so they'll be supervised by Robert Legato, Elliot Newman and Adam Valdez.[37]#citenote-37) The movie will make the most of "virtual-reality instruments", per Visible Results Supervisor Rob Legato.[[38]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-LionKingD23-38) Digital Manufacturing Supervisor Girish Balakrishnan mentioned on his skilled web site that the filmmakers used motion capture and VR/applied sciences,[[39]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-:1-39) with the manufacturing crew combining VR expertise with cameras so as to movie the remake in a VR-simulated environment.[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-FavreauVideoGame-21) Sean Bailey, Disney's President of Manufacturing, referred to as the movie's visible results "a brand new type of filmmaking", and felt that "Historic definitions do not work", stating that "[it] makes use of some methods that will historically be referred to as animation, and different methods that will historically be referred to as live-action. It's an evolution of the expertise Jon [Favreau] utilized in Jungle Ebook".
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Music

Foremost article: The Lion King (2019 soundtrack))
Hans Zimmer, who composed the 1994 animated model, would return to compose the rating for the remake.[41]#citenote-41) Elton John additionally returned to transform his musical compositions from the unique movie earlier than his retirement,[[42]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-42) with Beyoncé aiding John within the remodelling of the soundtrack.[[43]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-43) John, the unique movie's lyricist, Tim Rice, and Beyoncé additionally created a brand new track for the movie,[[44]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-44) titled "Spirit)" and carried out by Beyoncé, which was launched on July 9, 2019, because of the lead single from the soundtrack.[[45]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-TheGift-45) John and Rice additionally wrote a brand new track for the movie's finish credit, titled "By no means Too Late" and carried out by John.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-Soundtrack-46) The movie additionally options all of the songs from the unique movie, a canopy of The Token's "The Lion Sleeps Tonight", and the track "He Lives in You" from Rhythm of the Satisfaction Lands and the Broadway manufacturing.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-Soundtrack-46)The soundtrack, that includes Zimmer's rating and John and Rice's songs, was launched digitally on July 11, 2019, and will likely be bodily on July 19, 2019.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-Soundtrack-46)
Beyoncé additionally produced and curated an album titled The Lion King: The Gift, which can characteristic "Spirit", in addition to songs impressed by the movie. The album is about to be launched on July 19, 2019.[45]#cite_note-TheGift-45)

Advertising

The primary teaser trailer and the official teaser poster for The Lion King debuted throughout the annual Dallas Cowboys' Thanksgiving day came on November 22, 2018.[47]#citenote-EWTeaser-47)[[48]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-VarietyTeaser-48) The trailer was seen 224.6 million occasions in its first 24 hours, turning into the then 2nd most viewed trailer in that time period.[[49]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-TrailerViews-49) A particular sneak peek that includes John Kani's voice as Rafiki) and a brand new poster have been launched in the course of the 91st Academy Awards on February 24, 2019.[[50]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-50) On April 10, 2019, Disney launched the official trailer that includes new footage which revealed Scar), Zazu, Simba and Nala) (each as cubs and as adults), Sarabi, Rafiki), Timon and Pumbaa and the hyenas.[[51]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-51) The trailer was seen 174 million occasions in its first 24 hours, which was revealed on Disney's Investor Day 2019 Webcast.[[52]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-52) On Could 30, 2019, 11 particular person character posters have been launched.[[53]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-53) A particular sneak peek that includes Beyoncé, Billy Eichner, and Seth Rogen's voices as Nala), Timon, and Puma respectively, was launched on June 3, 2019.[[54]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-54) A particular sneak peek that includes Beyoncé and Donald Glover's voices as Simba and Nana singing) "Can You Feel the Love Tonight" and in addition that includes James Earl Jones' voice as Mufasa, was launched on June 20, 2019.[[55]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-55) On July 2, 2019, Disney launched an intensive behind-the-scenes featurette detailing the varied points of the movie's manufacturing together with seven publicity stills that include the voice actors going through their animal counterparts.[[56]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-56)

Shot-for-shot declare

The trailers of the movie led to a declaration of its being a shot-for-shot remake of Disney's 1994 movie. On December 23, 2018, Sean Bailey, Disney's President of Manufacturing, mentioned that whereas the movie will "revere and love these elements that the viewers desires", there will likely be "issues within the film which might be going to be new".[40]#citenote-ScreenRant-40) On April 18, 2019, Favreau acknowledged that "some photographs within the 1994 animated movie are so iconic" he could not presumably change them, however "regardless of what the trailers counsel, this movie isn't just the identical film over once more",[[57]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-57) and later mentioned "it is for much longer than the unique movie. And a part of what we're doing right here is to (give it extra dimension) not simply visually however each story smart and emotionally."[[58]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-58) On Could 30, 2019, Favreau mentioned that a number of the humour and characterizations are being altered to be extra according to the remainder of the movie,[[59]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-59) and this remake is making some adjustments in sure scenes from the unique movie, in addition to in its construction.[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-FavreauVideoGame-21)On June 14, 2019, Favreau mentioned that, whereas the unique movie's fundamental plot factors will stay unchanged within the remake, the movie will largely diverge from the unique model, and hinted that the Elephant Graveyard, the hyenas' lair within the authentic movie, will likely be changed by a brand new location.[[13]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-DirectorHyenas-13) On July 5, 2019, the movie was revealed to have a 118 minutes period, making it roughly 30 minutes longer than the unique movie.[[60]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-60)

Launch

The Lion King premiered in Hollywood on July 9, 2019.[61]#citenote-61) The movie is scheduled to be theatrically launched in America on July 19, 2019.[[62]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-62) It will likely be one of many first theatrical movies to be launched on Disney+, alongside Aladdin), Toy Story 4, Frozen 2, Captain Marvel), and Avengers: Endgame.[[63]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-63)
The movie started its worldwide rollout per week earlier than its home launch, beginning with July 12 in China.[64]#cite_note-ChinaPreview-64)

Reception

Field workplace

Starting on June 24, 2019 (which marked the 25th anniversary of the discharge of the unique movie), in its first 24 hours of pre-sales, The Lion King grew to become the second-best pre-seller of 2019 on Fandango) in that body (behind Avengers: Endgame), whereas Atom Tickets reported it gave their best-ever first-day gross sales for a household movie.[65]#citenote-Presales_record-65) Three weeks previous to its launch, business monitoring projected the movie would gross $150–170 million in its home opening weekend.[[66]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-66)[[67]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-67)
In China, the place it launched per week previous to the U.S., the movie was projected to debut to $50–60 million.[64]#citenote-ChinaPreview-64) It ended up opening to $54.7 million, beating the debuts of The Jungle Ebook and Magnificence and the Beast.[[68]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-68)
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https://preview.redd.it/5xzol8ylhga31.jpg?width=700&format=pjpg&auto=webp&s=4a3aedd277ee3550808bfb314624587b23ed71b2

Vital response

On review aggregator web site Rotten Tomatoes, the movie holds an approval ranking of 59% based mostly on 123 evaluations, and an average rating of 6.45/10. The web site's important consensus reads, "Although it may take satisfaction in its visible achievements, this reimagined The Lion King is a by the numbers retelling that lacks the power and coronary heart that made the unique so beloved – although for some followers that will simply be sufficient."[69]#citenote-69) Metacritic gave the movie a weighted common rating of 57 out of 100 based mostly on 38 critics, indicating "blended or common evaluations".[[70]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-70)
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Kenneth Turan on the Los Angeles Times referred to like the movie "polished, satisfying leisure."[71]#citenote-71) Todd McCarthy at The Hollywood Reporter thought-about it to be inferior to the unique, noting, "The movie's aesthetic warning and predictability start to put on down on your entire enterprise within the second half."[[72]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-72) At The Guardian, Peter Bradshaw discovered the movie "watchable and pleasing. However, I missed the simplicity and vividness of the unique hand-drawn pictures."[[73]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-73)
A. A. Dowd, writing for The A.V. Club, summarized the movie as "Joyless, artless, and perhaps soulless, it transforms some of the putting titles from the Mouse Home vault into a really costly, star-studded Disneynature movie." Dowd bemoaned the movie's insistence on realism, commenting, "We're watching a hole bastardization of a blockbuster, without delay fully reliant on the viewers' pre-established affection for its predecessor and unusually decided to jettison a lot of what made it particular."[74]#citenote-74) Scott Mendelson at Forces condemned the movie as a "crushing disappointment": "At nearly each flip, this redo undercuts its personal melodrama by downplaying its personal feelings."[[75]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-75) David Ehrlich of IndieWire panned the movie, writing, "Unfolding just like the world's longest and least convincing deep fake, Jon Favreau's (nearly) photorealistic remake of The Lion King is supposed to characterize the following step in Disney's circle of life. As an alternative, this soulless chimera of a movie comes off as little greater than a glorified tech demo from a grasping conglomerate — a well-rendered however creatively bankrupt self-portrait of a film studio consuming its personal tail."[[76]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-76)
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A financial expert's very negative outlook on Bitcoin.

Hello there people of reddit!
I have translated this blog post which I would like to share with you all. The original blog post appeared in a rather famous hungarian financial blog and it posed some interesting questions. It would be really good if the intelligent people of reddit would start a debate on these topics. There is a big learning opportunity here. I personally disagree with many of the points made in the post while I agree with some of them.
I think that it is important to listen to the negative opinions because we can grow from them and we can either strengthen our opinions by disproving the counter-arguments of others or we can formulate and fine-tune our opinions by accepting partial truths from the opposing opinion. (Maybe we can even change our opinions alltogether in some cases) I post this in the hopes of having an intelligent conversation about the topic and it would be a bit sad if this would get downvoted because then the conversation wouldn’t be able to unfold.
I say let's examine the other side, let's look at their arguments, let's try to understand them and let’s try to learn from them so that we may become smarter, better, and more well informed.
Also this can be a very good test if you think about investing in Bitcoin. If this discourages you then your fundamental knowledge of cryptocurrencies or Bitcoin may not be satisfactory yet or you may be thinking about investing with money what you cannot afford to loose
So without further to do here is the actual blog post translated from kiszamolo.hu.
RTT314
I am writing about Bitcoin. I didn’t want to at all but since everybody is talking about it I had to.
Translator's note: There was a previous blog post about Bitcoin which got a massive amount of feedback in the hungarian community.
The general feedback I received about my previous post on Bitcoin wonderfully resembled the the feedback I got when I wrote about Kairos, Emgoldex, Quaestor and Sitetalk. (these were all scams in their times)
In case you don’t have time to read the comments on my previous post I’ll summarize them for you. Its quite simple because people basically write the same thing all over again (Bitcoin or Emgoldex it doesn’t matter.) The comment categories are as follows:
It’s a good idea to look at those people who wrote these comments a few years back. The people of Kairos who came here (to his blog) taunting and showing off their earnings with Kairos. And then all of a sudden it became apparent that it was just another scam and they lost all the money in a heartbeat.
What did I cover in the previous blog post on Bitcoin?
I wrote, that you don’t know anything about Bitcoin, that you don’t know who is behind it or whether there is someone behind it or not. What gives actually Bitcoin’s value? How do we know that its better than the other cryptocurrencies? How do we know if one BTC is expensive for 1000 dollars or cheap? For a long time people bought it for 1 dollar, then for a long time for 100, then 1000 and now 16 thousand. Which price is the realistic one? Or none of it is realistic and its still cheap? How can I find it out?
I have basically nothing at all to which I could compare its price. Just like in the dotcom bubble when it came to evaluating the .com companies. The normal method of evaluation didn’t work when it came to these companies because everybody wanted to think, that these companies can conquer the whole world. And because of that basically no price was too expensive for a share. And then it became apparent, that in fact even a single dollar was too much for 95% of them.
Just because something is revolutionary and new it doesn’t mean that it has value too. Especially when anybody can copy it freely. This happened with the .com companies too. Everybody learned fast, that just because they are innovative and revolutionary they can’t make a profit and most of them didn’t even worth a penny.
And the .com companies were 100 times easier to evaluate than Bitcoin. At least they had expenses, profits, employees, products and patents. You could at least calculate with something.
Why is Bitcoin considered money? Currently it has none of the properties of money - you can’t pay with it everywhere, it’s exchange rate is not stable at all and because of that it is not suitable for accumulating wealth in it (just in the past 12 hours the price of one BTC was between $16.123 and $17.023 and today is one of the calmer days.)
Anybody can invent a newer Bitcoin and people do so too. There’s almost ten times more cryptocurrencies today than normal currencies in the world and almost every day a new one gets listed. This is because anybody can make a cryptocurrency. You don’t have to have a whole country behind it with its total assets, government, and financial traffic. If you have good marketing you will be a millionaire from a new cryptocurrency. Currently there are 1324 cryptocurrencies and there is almost no day when no new ones are added. On the contrary there is only 180 types of traditional currencies in the world.
I also mentioned, that governments can limit the use of cryptocurrencies any time by illegalizing the exchange of cryptocurrencies to real money. And if that happens all cryptocurrencies will be worthless in a blink of an eye.
I don’t want to get into new ideological debates. I just want to place Bitcoin amongst all the hype into the world’s financial traffic. Where does Bitcoin stand compared to the current world’s financial traffic and does it look like a bubble? Will it really change the world’s financial system and will it really change the old technologies?
Bitcoin’s total market cap was 15,49 billion dollars on 2017 January the 1st and what’s at least as important is that the daily traffic volume was 92 million dollars.
https://imgur.com/a/kI0Ru
Bitcoin’s current market cap (17 thousand dollars) is 289 billion dollars and the daily traffic volume is 12.135 million dollars so the daily traffic grew 131-fold since January the 1st.
One of the world’s biggest bank - the Bank of America’s - market cap is also 300 billion dollars and that is accompanied by 2,228 billion dollars worth of assets which gives one of the basis of the actual evaluation. Bitcoin has zero assets. Bank of America every four months (!!!) profits 22,3 billion dollars and one fifth of this is net profit. The profit of Bitcoin is zero and the net profit of Bitcoin is also zero.
Europe’s 16th biggest economy, Finland has a yearly GDP of 236 billion dollars.
If Bitcoin’s market cap doubles again, it’s market cap will be equal to Hungary’s, Ukraine’s, Slovakia’s, Luxemburg’s, Croatia’s, Bulgaria’s and Latvia’s GDP all together. Or at least on paper. (Of course the actual BTC's market cap and the GDP is very different, but i guess you can still feel the nonsense in this)
People make 337 thousand daily transactions with Bitcoin.
Just Visa alone makes 468 million transactions per day and this is just a tiny slice from the total world’s transactions.
The SWIFT system which is used by banks to make international transfers even 12 years ago made 5 thousand billion dollars worth of traffic. Daily.(!) The similiar Fedwire payment system which works in the USA had a daily traffic of 2,1 thousand billion dollars, the CHIPS had 1,4 thousand billion dollars. And these numbers are 12 years old so you can easily double them to get to the present numbers. And this data is only of three clearing houses out of a dozen! All the national clearing houses in total can have multiple hundred times more traffic than these ones.
Even if we would like to use Bitcoin for just one tenth of the traffic of Visa we would soon have to store a few gigabytes then terabytes of data for each Bitcoin. The whole electricity generation and bandwidth of the world wouldn’t be enough if we would want to manage and transmit this much data constantly. (Even now the Bitcoin network uses more power than Bulgaria. The investors who mine Bitcoin spend money mostly on video cards and electricity. The biggest benefitors of Bitcoin are the chinese electricity providers and the video card companies. Even a whole bank system doesn’t use this much electricity and they execute multiple hundred thousand times more transactions than the Bitcoin’s network.)
The technology is unsuitable for microtransactions. There are cryptocurrencies which are suitable for this but what will happen with you investment in Bitcoin when everybody starts to use one of these currencies?
The future of the blockchain technology is completely different from the future price of Bitcoin which currently is just one out of 1324 cryptocurrencies and for which you paid a bunch of money. Somehow the people who kick back and leave their future on the price of Bitcoin don’t want to understand this.
Just so you understand: I don’t argue whether or not blockchain technology (which is used by Bitcoin too) will be used in the future financial system. I argue whether or not one Bitcoin values 17 thousand dollars or even one dollar as a matter of fact.
Do you think there will be a single bank which will choose exactly Bitcoin when it wants to switch to this new technology when Bitcoin is a completely unsuitable candidate? Or do you think that the bank will choose another cryptocurrency? Won’t the bank simply make its own one?
The total value of all the dollar bills in circulation is 1,59 trillion dollars or 1590 billion dollars. If we look at the M3 (unbounded money in bank accounts, bills etc.) instead of only the bills we get 11 trillion dollars. But even this is only a tiny bit compared to the total assets in the american economy which is 220 trillion dollars.
The daily size of the forex market is (!) 5.100.000.000.000 dollars.
So think again when you see numbers which suggest that Bitcoin is the future. I wrote these numbers just so you can get a sense of the big Bitcoin which is about to knock down the world’s banking system. Just so you can understand the big Bitcoin’s place in the financial food chain.
I’d also like to talk about a common misconception. Many people think that the value of Bitcoin comes from the fact that it’s very expensive to maintain. The mining is expensive. This is called an expense and it has no relation to value whatsoever. Things don’t represent value because they are costly to maintain. This is exactly the opposite of value. The more expensive is something to maintain the less valuable it is. Companies which have small costs value more than companies which have big costs with the same profits.
There’s an old trick in the stocks market called pooling. A few scammers organize into a pool, they choose a smaller stock and they start to trade amongst each other with higher and higher prices. They just have to be careful not to catch attention. They have to increase the price gradually and slowly and the pool has to be big enough in order to stay undetected.
When the whole world goes crazy because of the huge gains on the pooled stock and when everybody wants to be a part of the miracle the pool quietly sell the whole stack of stocks and disappear.
The “investors” which are driven by greed don’t even care about the fact that the evaluation of the stock flied far above the actual value of the stock. How much simpler is this whole move when the given thing doesn’t even have a quantifiable value to which you can compare it to? Bitcoin is exactly like this.
I wonder how are Bitcoins divided amongst the wallets? Could you drive up its value by getting into pools? You can’t drive up its value because it doesn’t even have any inherent value. The value of Bitcoin only comes from the people who are willing to pay for it. Bitcoin only has a price because people want to look at it as money even if it cannot function as money.
The american dollar will have value until the United States exists and its government collects taxes in dollars from the world’s biggest economy and it pays its payouts in dollars. And if someone doesn’t want to pay the requested taxes in dollars the government has the power to imprison the person.
The expression of total financial ignorance is when the believers of Bitcoin state that the real currencies are also based on nothing. The real currencies are just paper too without any value. Every real currency is backed by real value: the given country’s economy, assets, government, tax system give real value to the real currency. No cryptocurrency can present anything like this ever because cryptocurrencies are made out of thin air.
Real currencies can function exactly because of this: because they have value too not just a price. This is why they can be a store of value, this is why they can be accepted in trade. Because tomorrow they will be worth just as much as today. They’re not just empty ping pong balls which are moved based on the needs and wants of the buyer. Potentially 10-20% per day.
(Just for the sake of the smartpants: of course after world wars a real currency can lose value too just like how the syrian fiat lost value too when the value was essentially bombed out of it. The country’s economy collapsed and half of the taxpayers died or fled out of the country. But even this shows exactly the fact, that the price of the currency changes if the inherent value changes. And also the the price of the safety fiats (swiss franc) can be pumped up if investors are panicking. But we only know that their price is high compared to what their value is because it has a value.)
Just because I invent the Reddit coin and create a lot but finite real physical coins it won’t be a currency which has value. Not even if the coins are unfalsifiable. Not even if there will be people who are willing to pay real money for my coins. Not even if other people realize that they can make coins just like me any time (that’s why there are already 1324 types of cryptocurrencies on the market) It won’t be real money even if following the current trend I create this Reddit coin as a cryptocurrency. Money doesn’t become money because I say its money. Neither does it become money because other people believe its money.
But let's take a look at the bitcoin wallets amongst the investors:
https://imgur.com/a/WN163
So basically 97,2% of the wallets doesn’t even own a single bitcoin! And 55,5% of the wallets doesn’t even contain 0,001 bitcoin!
Of course a wallet is not necessarily a person but its apparent that there are many small fish in the sea of Bitcoin. It's good to know this when you read all the comments from the people who try to defend Bitcoin no matter what. Most of them don’t even own 700 bucks worth of bitcoin but they will become rich for life from this investment.
0,01% of the investors - 1.677 people own nearly 40% of the total bitcoins available. (Or it may be that these 1.677 wallets are owned by one person or twenty. We can’t even know that) but even 85% of the total bitcoins is in less than 1% of the wallets. In stocks lingo this is called a low free float.
These people are the ones who manipulate the prices however they want it to. But of course they don’t want it to because why would they want such a thing? The prices are rising just because Bitcoin is the future.
If Bitcoin wouldn’t be the Holy Bitcoin it would be simply called a Ponzi scheme. How does a Ponzi scheme look exactly? They build up a system which is new, which is alluring and about which people can believe that it’s the future. From this you’ll become rich. If you pay enough money now then you’ll be the part of the money rain too. Until more people are buying in than out the Ponzi scheme works great. Nobody realizes that there’s nothing behind it. Just the money of the depositors gives it value.
Bitcoin is genial because it never even stated that there is some sort of value behind it so you can’t even expect it in the first place. Until more people want to put money in than out the price of Bitcoin will rise. I’ll say this again Bitcoin is alive because people want to treat it as money. “This is the money of the future, you are lagging behind if you don’t understand this. Why do you try to find the inherent value of it and the evaluation of it? You are an old prick who has no clue. This is a new world. Deal with it. You have to just believe this and don’t ask any questions.” Do you know how many times have I heard this from the faithful “investors” of the kairos, sidetalk, emgoldex ponzi schemes?
A lot of people wait a lot from the december 18th stock appearance of Bitcoin but it can bring more bad than good. If the big speculators start to go hard on it they can double the price or drag it down to 0 within days. It's rather easy for them because there is no value behind it. Just a price tag. If the British Pound was attacked what do you think what will they do with Bitcoin? Here there is no national bank which will change the interest rates or pull other tricks from its sleeves to defend its own currency from falling or from a rising. Also here the investors won’t be able to say that a bitcoin is definitely worth more than this or not because the whole english economy is not behind it so they don’t have a guide for its inherent value. If Bitcoin was volatile so far you can prepare yourself for even bigger storms.
You think whatever you want and you pay money for whatever you want. You know what? Even I’m telling you that knowing the madness, dumbness, and greed of people it is not unimaginable that Bitcoin will rise to 150 thousand dollars within the next year. But not because its value is that much but because there are too many greedy people who feel like they were left out of a great opportunity but it's not too late to jump in.
But also don’t be amazed if its price will be 1 dollar again.
submitted by RTT314 to Bitcoin [link] [comments]

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

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

Top Submitters' Top Submissions

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

Top Commenters

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

Top Submissions

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

Top Comments

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