10 Best Forex Affiliate Programs Of 2020 - Authority Hacker

List of 110+ Free Udemy & Popular Discounted : ETL & Data Integration Masterclass, HTML, JavaScript, & Bootstrap, Marketing Analytics, Microsoft Excel, Machine Learning, Android App Developer, React JS - A Complete Guide for Frontend Web Development, Python, Tableau, Instructional Design & Many More

ETL & Data Integration Masterclass, HTML, JavaScript, & Bootstrap, Marketing Analytics, Microsoft Excel, Machine Learning, Android App Developer, React JS - A Complete Guide for Frontend Web Development, Python, Tableau, Instructional Design & Many More
Source: Freebies Global - https://freebiesglobal.com/
  1. [English] 6h 24m HTML, JavaScript, & Bootstrap - Certification Course https://www.udemy.com/course/html-javascript-bootstrap-certification-course/?couponCode=YOUACCELOCT26 2 Days left at this price!
  2. [English] 0h 37m Quick Guide: Setup a Local Testing Server using WAMP or MAMP https://www.udemy.com/course/quick-guide-setup-a-local-testing-server-using-wamp-or-mamp/?couponCode=YOUACCELOCT26 2 Days left at this price!
  3. [English] 1h 27m Learn MySQL - For Beginners https://www.udemy.com/course/learn-mysql-for-beginners/?couponCode=YOUACCELOCT26 2 Days left at this price!
  4. [English] 1h 28m Learn JavaScript - For Beginners https://www.udemy.com/course/learn-javascript-for-beginners-v/?couponCode=YOUACCELOCT26 2 Days left at this price!
  5. [English] 1h 47m Learn PHP - For Beginners https://www.udemy.com/course/learn-php-for-beginners-n/?couponCode=YOUACCELOCT26 2 Days left at this price!
  6. [English] 5h 57m JavaScript, Bootstrap, & PHP - Certification for Beginners https://www.udemy.com/course/javascript-bootstrap-php-certification-for-beginners/?couponCode=YOUACCELOCT26 2 Days left at this price!
  7. [English] 2h 23m Learn XML-AJAX - For Beginners https://www.udemy.com/course/learn-xml-ajax-for-beginners/?couponCode=YOUACCELOCT26 2 Days left at this price!
  8. [English] 2h 45m Learn Bootstrap - For Beginners https://www.udemy.com/course/learn-bootstrap-for-beginners/?couponCode=YOUACCELOCT26 2 Days left at this price!
  9. [English] 1h 15m Learn jQuery - For Beginners https://www.udemy.com/course/learn-jquery-for-beginners/?couponCode=YOUACCELOCT26 2 Days left at this price!
  10. [English] 3h 9m CSS & JavaScript - Certification Course for Beginners https://www.udemy.com/course/css-javascript-certification-course-for-beginners/?couponCode=YOUACCELOCT26 2 Days left at this price!
  11. [English] 6h 2m Ultimate AWS Certified Alexa Skill Builder Specialty 2020 https://www.udemy.com/course/ultimate-aws-certified-alexa-skill-builder-specialty/?couponCode=20F2F1085B9FE981B09C 2 Days left at this price!
  12. [English] 9h 13m Pentaho for ETL & Data Integration Masterclass 2020- PDI 9.0 https://www.udemy.com/course/pentaho-for-etl-data-integration-masterclass/?couponCode=OCTXXVI20 1 Day left at this price!
  13. [English] 34h 56m Machine Learning & Deep Learning in Python & R https://www.udemy.com/course/data_science_a_to_z/?couponCode=OCTXXVI20 1 Day left at this price!
  14. [English] 0h 52m Public Speaking: A tactical approach https://www.udemy.com/course/publicspeakingtactics/?couponCode=9546D2A90B72DB31BF85 2 Days left at this price!
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  16. [English] 3h 36m The Complete React JS Course - Basics to Advanced https://www.udemy.com/course/react-js-basics-to-advanced/?couponCode=FREEOCTOBER 2 Days left at this price!
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  18. [Spanish] 11h 40m Curso Excel y Power BI – Análisis y Visualización de Datos https://www.udemy.com/course/curso-tutorial-aprender-como-usar-power-bi-excel-ejercicios-practicos/?couponCode=OCT20-1 2 Days left at this price!
  19. [English] 1h 28m Learn! Modern JavaScript for React JS - ES6 https://www.udemy.com/course/modern-javascript-es6-for-react-js/?couponCode=FREEOCTOBER 2 Days left at this price!
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  24. [English] 12h 46m Complete Machine Learning with R Studio - ML for 2020 https://www.udemy.com/course/machine-learning-with-r-studio/?couponCode=OCTXXVI20 1 Day left at this price!
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  41. [English] 1h 14m Sell Photo Online: Beginners Guide Stock Photography https://www.udemy.com/course/mastering-stock-photography-step-by-step-guideline/?couponCode=STOCKOCT2020F3 2 Days left at this price!
  42. [English] 6h 5m Tableau 2020 Training for Data Science & Business Analytics https://www.udemy.com/course/tableau-for-data-science-and-business-analytics/?couponCode=FB27OCT2020 2 Days left at this price!
  43. [English] 11h 46m Futures Trading Ninja: DIY 12Hour TOP-NOTCH Trading Strategy https://www.udemy.com/course/futures-trading/?couponCode=1OCT20 2 Days left at this price!
  44. [Spanish] 5h 35m Google Adsense. 99 Secretos que Internet No te Enseña. 2020. https://www.udemy.com/course/google-adsense-gana-dinero-achirou-alvaro-chirou-pablo-munoz/?couponCode=TWITCH 2 Days left at this price!
  45. [English] 7h 0m CNN for Computer Vision with Keras and TensorFlow in Python https://www.udemy.com/course/cnn-for-computer-vision-with-keras-and-tensorflow-in-python/?couponCode=OCTXXVI20 1 Day left at this price!
  46. [English] 6h 29m HR Analytics Course with R https://www.udemy.com/course/hr-analytics-course-with-?couponCode=ANALYTICS27 2 Days left at this price!
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  56. [English] 2h 59 The Complete Motivation Course: Motivation for Your Success https://www.udemy.com/course/the-complete-motivation-course-motivation-for-your-success/?couponCode=9960F956CB6AA19CF809 2 Days left at this price!
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  60. [Spanish] 1h 18m Comienza con R ¡Añade valor a tu CV en 2 horas! https://www.udemy.com/course/el-arte-de-programar-en-r-anade-valor-a-tu-cv/?couponCode=B90E90DE425C8BAC6D10 2 Days left at this price!
  61. [Spanish] 1h 15m Aprende SQL desde cero: ¡Curso con mas de 50 ejercicios! 1 https://www.udemy.com/course/aprende-sql-desde-cero-curso-con-mas-de-50-ejercicios/?couponCode=9497A0979D086BC59ACA 2 Days left at this price!
  62. [Spanish] 1h 41m Tableau: Crea un impacto con la información https://www.udemy.com/course/tableau-10-desde-cero/?couponCode=0B9A15DAABECEF4283E3 2 Days left at this price!
  63. [Spanish] 1h 4m Microsoft Excel - Análisis de datos con tablas dinámicas https://www.udemy.com/course/microsoft-excel-analisis-de-datos-con-tablas-dinamicas/?couponCode=E132A1381313060EADBA 2 Days left at this price!
  64. [Spanish] 1h 47m SQL: Creación de Bases de Datos (De cero a profesional) https://www.udemy.com/course/sql-creacion-de-bd/?couponCode=4C2909E4D310F1B4FA41 2 Days left at this price!
  65. [Arabic] 0h 43m YouTube SEO mini course (Get more views) in Arabic https://www.udemy.com/course/youtube-seo-mini-course/?couponCode=B9CB7555A84C81E259A6 2 Days left at this price!
  66. [English] 4h 48m Microsoft Excel - Learn MS EXCEL For DATA Analysis https://www.udemy.com/course/microsoft-excel-learn-ms-excel-for-data-analysis/?couponCode=23966F2BE2A43C33E5ED 2 Days left at this price!
  67. [English] 0h 33m 30 Days Challenge for a Better Time Management https://www.udemy.com/course/30-days-challenge-for-a-better-time-management/?couponCode=TMFREE 2 Days left at this price!
  68. [English] 2h 15m Outsource Mastery: How To Earn More Money By Doing Less Work https://www.udemy.com/course/outsource-mastery/?couponCode=OCTFREEOUTSOURCE 2 Days left at this price!
  69. [English] 4h 44m Microsoft Excel: Beginner to Data Analysis and Dashboards https://www.udemy.com/course/getting-started-with-microsoft-excel/?couponCode=4471C851C1F635EA50B6 2 Days left at this price!
  70. [English] 1h 55m Machine Learning & Data Science Foundations Masterclass https://www.udemy.com/course/machine-learning-data-science-foundations-masterclass/?couponCode=CLUB11 2 Days left at this price!
  71. [English] 1h 26m Public Speaking: You Can Speak to Large Audiences https://www.udemy.com/course/how-to-speak-to-large-audiences/?couponCode=D862393E365C81A88F76 2 Days left at this price!
  72. [English] 1h 12m Online Course Creation: Complete Course of Blunders to Avoid https://www.udemy.com/course/online-course-creation-complete-course-of-blunders-to-avoid/?couponCode=795DDC3D62699701AA68 2 Days left at this price!
  73. [English] 1h 0m Basics Of Stop Motion Animation Using Canva And OpenShot https://www.udemy.com/course/basics-of-stop-motion-animation-using-canva-and-openshot/?couponCode=87D29D78BE69CC4A77E6 2 Days left at this price!
  74. [English] 1h 23m Basics Of Flat Design Illustrations In Canva https://www.udemy.com/course/how-to-do-flat-design-for-social-media-marketing-in-canva/?couponCode=7C34A04E50CDC001F0FB 2 Days left at this price!
  75. [English] 1h 6m TEDx for NGOs, NonProfits & Volunteers https://www.udemy.com/course/tedx-nonprofit-org/?couponCode=TNNPVEXPOCT292020 2 Days left at this price!
  76. [English] 0h 49m Color Theory Basics: Learning Color Theory With Adobe Color https://www.udemy.com/course/color-theory-basics-learning-color-theory-with-adobe-colo?couponCode=6950A9D3ED98C8948A02 2 Days left at this price!
  77. [English] 3h 37m Intro To Basic Video Creation https://www.udemy.com/course/intro-to-basic-video-creation/?couponCode=2A0546CA0E43EEF9DFEC 2 Days left at this price!
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  86. [English] 9h 39m How to Write and Publish a Research Paper: Complete Guide https://www.udemy.com/course/how-to-write-and-publish-a-research-paper-complete-guide/?couponCode=PAPER26 1 Day left at this price!
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  91. [English] 7h 4m Build 9 PIC Microcontroller Engineering projects today! https://www.udemy.com/course/pic-microcontroller-build-engineering-projects-today/?couponCode=STAYHOME1022020 21 hrs left at this price!
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Trading economic news

The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases.
This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.

How economic news is released

First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week.
The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020.
In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus.
The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots.
No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners.
Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup.
Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price!
Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!

How the news affects forex markets

Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent.
It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast.
Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators.
Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market.
The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US.
Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com.
Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles.
I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report.
USD/JPY correlation with Initial Jobless Claims (2018 - present)
USD/JPY correlation with Non Farm Payrolls (2018 - present)
The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all.
For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected.
The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up.
I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.

Backtesting

So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report.
Before you can assume you can profit off the news you have to backtest and consider three important parameters.
Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk.
Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not.
Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one.
The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest.
Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered.
I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized.
For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade.
Yep, that's a loss of approx. $8.63 per lot.
Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from.
Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade.
That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.

Make it real

If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day.
Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved.
Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world.
I hope you enjoyed this long as fuck post and you give trading economic news a try!
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Genesis Vision - Development Progress Mega TL;DR

Genesis Vision - TL;DR
As usual I post this every few months or so after a significant update, to inform both old & new investors
Best places to stay up to date:
Upcoming developments:
Not developments as such, but we can also expect:
2019 Progress:
  • Fund reallocation history added
  • Manager financial statistics page added
  • Additional period history tab added
  • Ability to change brokers
  • Most of the terms on the platform will now display definitions when you hover your mouse cursor over them.
  • In the “Trades” tab on a page of a program, you can now export trading data for the selected period to Excel
  • You can now filter GV Funds by assets
  • When an investor creates a withdrawal request from an investment program, it automatically cancels the previous one.
  • Investors can now select an option to “Withdraw all”
  • Managers now have a separate “Program settings” section
  • The design of the “Program” page was updated and given a facelift. The new version now shows the program’s broker of choice, leverage, duration of the reporting period and more.
  • Addition of program ages to dashboard
  • Managers can now attach social network profiles to their accounts
  • Level/investment calculator
  • Complete revamp of the leveling system
  • First token burn - 1872 GVT / $5821.5 burnt
  • Copytrading & Signals released
  • Integration with Exante - Now full access to over 10,000 additional assets
  • Full integration with Huobi where traders can manage funds through the native Huobi UI
  • Adding new token listings on Huobi & Binance as soon as possible to GV Funds & Programs
  • Risk tags (high/medium/low) added to manager profiles
  • Added ability to hide closed programs in personal dashboard
  • Added open positions into the balance. So you can watch the performance of a program through both its closed and open positions
  • Added visibility to closed programs. So you can now see every program that was opened and managed by a manager
  • Additional tokens already added to GV Funds
  • QUARTERLY GV TOKEN BURN - Starting June 30th 2019
  • Roboforex Integration
  • Ability to short on the platform (via RoboForex)
  • Chain Plus conference in Seoul Korea
  • Genesis Markets & all of its materials translated into Chinese
  • Huobi/Genesis Markets bridge complete
  • Copytrading features
  • Signals w/subscriptions
  • Multicurrency wallet
  • Stop Outs
  • Platform Tags
  • Platform model change (less selling pressure on the GVT token)
  • Additional discounts both for copy trading and investment programs for HODLing GVT
2018 Progress:
  • Metatrader integration
  • Genesis Vision Alpha Version
  • IPFS Integration
  • Numerous trading competitions
  • Launch of Genesis Markets
  • Launch of the iOS & Android Genesis Vision apps
  • Live Platform Launch ~ 30th October
  • Completely overhauled UI/UX for iOS, Android, Investors & Manager portals
  • Fresh website for GV & GM
  • Finance Magnates London Summit
  • Sofia Investor Finance Forum
  • Huobi prestige Investors Fireside Dialogue (speakers)
  • Launch of Genesis Vision Funds
  • Removal of entry fees for level 1 & 2 managers
  • New leveling system -> https://blog.genesis.vision/do-your-level-best-7dc47d16b44e
  • Forex trading went live -> https://blog.genesis.vision/its-forex-time-89a72c7f5fac
In the works for the future (some speculation)
  • Chinese promotion - The platform and all of the reading materials will be translated into Chinese
  • Exploring the possibility of using Binance Chain
  • Genesis Vision DEX
  • Genesis Vision Network -> https://blog.genesis.vision/genesis-vision-network-10bf3e749688
  • Fiat Gateway
  • Bank & Stocks Integration
  • Further platform development for GV & Genesis Markets
  • Further development of all versions of the platform, ie iOS & Android
  • I personally believe we will see GVT listed on some exchanges in 2019
Current Partnerships/Integrations:
Platform statistics
  • Follow @GVTProgressBot on Twitter for updates every 24 hours
The team posted their results for Q1 2019 profits in this article:
Some more info on revenue:
Firstly, I am not part of the team, so any replies are just from research I have done into the project and available information:
1.) The team confirmed that there are 40 people working for Genesis Vision 25 are working in the office and 15 remotely. Jump in the TG if you would like to know more info or even talk to some of the other team members direct. Dmitry Nazarov = CEO, Ruslan Kamensky = Head of Development. (You can do your background research on these guys, they've got skills).
2.) Can't comment accurately on funds, because well, that's the teams business. Ofc a responsible investor should try and find out as much info as they can however.
  • The ICO raised -> $2,836,724 when ETH was around $250-$300 pre-bull run (you do the math).
  • The team/development tokens also amounted to 709,862 GVT/16% of the supply, these funds would/will have been used for development, these were locked for 1 year and released approx October 2018
3.) Sustainability is a big one. This is why I continue to follow GVT daily because I believe the Genesis Vision model is sustainable. See my previous post:
https://www.reddit.com/genesisvision/comments/9p80igenesis_vision_will_soon_become_a_self_sufficient/
TLDR - Here's how they will create revenue from the GV platform (taken from the whitepaper):
  • The project will receive profit from commissions on investment operations. Each investment will be charged 0.5%³ of the operation amount.
  • The project will also generate profit from managing its own fund and by investing it in successful managers of our platform.
  • Genesis Markets will create revenue from trading fees
Another thing to think about - The team have been extremely responsible with their funds. Zero funds have gone to waste and have been used in the most efficient way possible. One example (although a touchy subject) is marketing. The bottom line is marketing will ramp up when the project/platform has had more development (finishing integrating the brokers + additional features). The team have known that the correct time to market the platform is coming, just not yet... Obviously if they had 100's of millions from the ICO marketing would have been ongoing from Day 1. This is one example of being responsible with your investors/ICO funds.
If you would like some more information about the funds, the ICO etc. See these two links:
Bullish on GVT. You want reasons why im bullish? Re-read this post
submitted by elcryptonerd to genesisvision [link] [comments]

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Trump Didn’t Kill the Global Trade System. He Split It in Two.

This article is taken from the Wall Street Journal written about nine months ago and sits behind a a paywall, so I decided to copy and paste it here. This article explains Trump's policies toward global trade and what has actually happened so far. I think the article does a decent job of explaining the Trade War. While alot has happenedsince the article was written, I still think its relevant.
However, what is lacking in the article, like many articles on the trade war, is it doesn't really explain the history of US trade policy, the laws that the US administration is using to place tariffs on China and the official justification for the US President in enacting tariffs against China. In my analysis I will cover those points.

SUMMARY

When Trump entered the White House people feared he would dismantle the global system the US and its allies had built over the last 75 years, but he hasn't. He has realign into two systems. One between the US and its allies which looks similar to the one built since the 1980s with a few of quota and tariffs. As the article points out
Today, Korus and Nafta have been replaced by updated agreements(one not yet ratified) that look much like the originals. South Korea accepted quotas on steel. Mexico and Canada agreed to higher wages, North American content requirements and quotas for autos. Furthermore, the article points out Douglas Irwin, an economist and trade historian at Dartmouth College, calls these results the “status quo with Trumpian tweaks: a little more managed trade sprinkled about for favored industries. It’s not good, but it’s not the destruction of the system.” Mr. Trump’s actions so far affect only 12% of U.S. imports, according to Chad Bown of the Peterson Institute for International Economics. In 1984, 21% of imports were covered by similar restraints, many imposed by Mr. Reagan, such as on cars, steel, motorcycles and clothing. Protectionist instincts go so far in the US, there are strong lobby groups for both protectionist and freetrade in the US.
The second reflects a emerging rivalry between the US and China. Undo some of the integration that followed China accession to the WTO. Two questions 1) How far is the US willing to decouple with China 2) Can it persuade allies to join.
The second is going to be difficult because China's economic ties are greater than they were between the Soviets, and China isn't waging an ideological struggle. Trump lacks Reagan commitment to alliance and free trade. The status quo with China is crumbling Dan Sullivan, a Republican senator from Alaska, personifies these broader forces reshaping the U.S. approach to the world. When Mr. Xi visited the U.S. in 2015, Mr. Sullivan urged his colleagues to pay more attention to China’s rise. On the Senate floor, he quoted the political scientist Graham Allison: “War between the U.S. and China is more likely than recognized at the moment.” Last spring, Mr. Sullivan went to China and met officials including Vice President Wang Qishan. They seemed to think tensions with the U.S. will fade after Mr. Trump leaves the scene, Mr. Sullivan recalled. “I just said, ‘You are completely misreading this.’” The mistrust, he told them, is bipartisan, and will outlast Mr. Trump. both Bush II and Obama tried to change dialogue and engagement, but by the end of his term, Obama was questioning the approach. Trump has declared engagement. “We don’t like it when our allies steal our ideas either, but it’s a much less dangerous situation,” said Derek Scissors, a China expert at the American Enterprise Institute whose views align with the administration’s more hawkish officials. “We’re not worried about the war-fighting capability of Japan and Korea because they’re our friends.”
The article also points out unlike George Kennan in 1946 who made a case for containing the Soviet Union, the US hasn't explicitly made a case for containing the Soviets, Trump's administration hasn't, because as the the article explains its divided Michael Pillsbury a Hudson Institute scholar close to the Trump team, see 3 scenarios
Pillsbury thinks the third is most likely to happen, even though the administration hasn't said that it has adopted that policy. The US is stepping efforts to draw in other trading partners. The US, EU and Japan have launched a WTO effort to crack down on domestic subsidies and technology transfers requirement. US and Domestic concerns with prompted some countries to restrict Huawei. The US is also seeking to walloff China from other trade deals. However, there are risk with this strategy

ARTICLE

Trump Didn’t Kill the Global Trade System. He Split It in Two.

INTRODUCTION

My main criticism of this article is it tries like the vast majority of articles to fit US trade actions in the larger context of US geopolitical strategy. Even the author isn't certain "The first goes to the heart of Mr. Trump’s goal. If his aim is to hold back China’s advance, economists predict he will fail.". If you try to treat the trade "war" and US geopolitical strategy toward China as one, you will find yourself quickly frustrated and confused. If you treat them separately with their different set of stakeholders and histories, were they intersect with regards to China, but diverge. During the Cold War, trade policy toward the Soviet Union and Eastern Bloc was subordinated to geopolitical concerns. For Trump, the trade issues are more important than geopolitical strategy. His protectionist trade rhetoric has been fairly consistent since 1980s. In his administration, the top cabinet members holding economic portfolios, those of Commerce, Treasury and US Trade Representative are the same people he picked when he first took office. The Director of the Economic Council has changed hands once, its role isn't as important as the National Security Advisor. While State, Defense, CIA, Homeland Security, UN Ambassador, National Security Advisor have changed hands at least once. Only the Director of National Intelligence hasn't changed.
International Trade makes up 1/4 of the US economy, and like national security its primarily the responsibility of the Federal government. States in the US don't implement their own tariffs. If you add the impact of Treasury policy and how it relates to capital flows in and out of the US, the amounts easily exceed the size of the US economy. Furthermore, because of US Dollar role as the reserve currency and US control of over global system the impact of Treasury are global. Trade policy and investment flows runs through two federal departments Commerce and Treasury and for trade also USTR. Defense spending makes up 3.3% of GDP, and if you add in related homeland security its at most 4%. Why would anyone assume that these two realms be integrated let alone trade policy subordinate to whims of a national security bureaucracy in most instances? With North Korea or Iran, trade and investment subordinate themselves to national security, because to Treasury and Commerce bureaucrats and their affiliated interest groups, Iran and the DPRK are well, economic midgets, but China is a different matter.
The analysis will be divided into four sections. The first will be to provide a brief overview of US trade policy since 1914. The second section will discuss why the US is going after China on trade issues, and why the US has resorted using a bilateral approach as opposed to going through the WTO. The third section we will talk about how relations with China is hashed out in the US.
The reason why I submitted this article, because there aren't many post trying to explain US-China Trade War from a trade perspective. Here is a post titled "What is the Reasons for America's Trade War with China, and not one person mentioned Article 301 or China's WTO Commitments. You get numerous post saying that Huawei is at heart of the trade war. Its fine, but if you don't know what was inside the USTR Investigative report that lead to the tariffs. its like skipping dinner and only having dessert When the US President, Donald J Trump, says he wants to negotiate a better trade deal with other countries, and has been going on about for the last 35 years, longer than many of you have been alive, why do people think that the key issues with China aren't primarily about trade at the moment.

OVERVIEW OF THE UNITED STATES TRADE ORIENTATION

Before 1940s, the US could be categorized as a free market protectionist economy. For many this may seem like oxymoron, how can an economy be free market and protectionist? In 1913, government spending made up about 7.5% of US GDP, in the UK it was 13%, and for Germany 18% (Public Spending in the 20th Century A Global Perspective: Ludger Schuknecht and Vito Tanzi - 2000). UK had virtual zero tariffs, while for manufactured goods in France it was 20%, 13% Germany, 9% Belgium and 4% Netherlands. For raw materials and agricultural products, it was almost zero. In contrast, for the likes of United States, Russia and Japan it was 44%, 84% and 30% respectively. Even though in 1900 United States was an economic powerhouse along with Germany, manufactured exports only made up 30% of exports, and the US government saw tariffs as exclusively a domestic policy matter and didn't see tariffs as something to be negotiated with other nations. The US didn't have the large constituency to push the government for lower tariffs abroad for their exports like in Britain in the 1830-40s (Reluctant Partners: A History of Multilateral Trade Cooperation, 1850-2000).
The Underwood Tariffs Act of 1913 which legislated the income tax, dropped the tariffs to 1850 levels levels.Until 16th amendment was ratified in 1913 making income tax legal, all US federal revenue came from excise and tariffs. In contrast before 1914, about 50% of UK revenue came from income taxes. The reason for US reluctance to introduced income tax was ideological and the United State's relative weak government compared to those in Europe. After the First World War, the US introduced the Emergency Tariff Act of 1921, than the Fordney–McCumber Tariff of 1922 followed by a Smoot-Hawley Act of 1930. Contrary to popular opinion, the Smoot-Hawley Act of 1930 had a small negative impact on the economy, since imports and exports played a small part of the US economy, and the tariffs were lower than the average that existed from 1850-1914.
Immediately after the Second World War, when the US economy was the only industrialized economy left standing, the economic focus was on rehabilitation and monetary stability. There was no grandiose and ideological design. Bretton Woods system linked the US dollar to gold to create monetary stability, and to avoid competitive devaluation and tariffs that plagued the world economy after Britain took itself off the gold in 1931. The US$ was the natural choice, because in 1944 2/3 of the world's gold was in the US. One reason why the Marshall Plan was created was to alleviate the chronic deficits Europeans countries had with the US between 1945-50. It was to rebuild their economies so they could start exports good to the US. Even before it was full implemented in 1959, it was already facing problems, the trade surpluses that the US was running in the 1940s, turned to deficits as European and Japanese economies recovered. By 1959, Federal Reserves foreign liabilities had already exceeded its gold reserves. There were fears of a run on the US gold supply and arbitrage. A secondary policy of the Bretton woods system was curbs on capital outflows to reduce speculation on currency pegs, and this had a negative impact on foreign investment until it was abandoned in 1971. It wasn't until the 1980s, where foreign investment recovered to levels prior to 1914. Factoring out the big spike in global oil prices as a result of the OPEC cartel, it most likely wasn't until the mid-1990s that exports as a % of GDP had reached 1914 levels.
Until the 1980s, the US record regarding free trade and markets was mediocre. The impetus to remove trade barriers in Europe after the Second World War was driven by the Europeans themselves. The EEC already had a custom union in 1968, Canada and the US have yet to even discuss implementing one. Even with Canada it took the US over 50 years to get a Free Trade Agreement. NAFTA was inspired by the success of the EEC. NAFTA was very much an elite driven project. If the Americans put the NAFTA to a referendum like the British did with the EEC in the seventies, it most likely wouldn't pass. People often look at segregation in the US South as a political issue, but it was economic issue as well. How could the US preach free trade, when it didn't have free trade in its own country. Segregation was a internal non-tariff barrier. In the first election after the end of the Cold War in 1992, Ross Perot' based most of independent run for the Presidency on opposition to NAFTA. He won 19% of the vote. Like Ross Perot before him, Donald Trump is not the exception in how America has handled tariffs since the founding of the Republic, but more the norm.
The embrace of free trade by the business and political elite can be attributed to two events. After the end of Bretton Woods in 1971, a strong vested interest in the US in the form of multinationals and Wall Street emerged advocating for removal of tariffs and more importantly the removal of restrictions on free flow of capital, whether direct foreign investment in portfolio investment. However, the political class embrace of free trade and capital only really took off after the collapse of the Soviet Union propelled by Cold War triumphalism.
As mentioned by the article, the US is reverting back to a pre-WTO relations with China. As Robert Lighthizer said in speech in 2000
I guess my prescription, really, is to move back to more of a negotiating kind of a settlement. Return to WTO and what it really was meant to be. Something where you have somebody make a decision but have it not be binding.
The US is using financial and legal instruments developed during the Cold War like its extradition treaties (with Canada and Europe), and Section 301. Here is a very good recent article about enforcement commitment that China will make.‘Painful’ enforcement ahead for China if trade war deal is reached with US insisting on unilateral terms
NOTE: It is very difficult to talk about US-China trade war without a basic knowledge of global economic history since 1914. What a lot of people do is politicize or subordinate the economic history to the political. Some commentators think US power was just handed to them after the Second World War, when the US was the only industrialized economy left standing. The dominant position of the US was temporary and in reality its like having 10 tonnes of Gold sitting in your house, it doesn't automatically translate to influence. The US from 1945-1989 was slowly and gradually build her influence in the non-Communist world. For example, US influence in Canada in the 1960s wasn't as strong as it is now. Only 50% of Canadian exports went to the US in 1960s vs 80% at the present moment.

BASIS OF THE US TRADE DISCUSSION WITH CHINA

According to preliminary agreement between China and the US based on unnamed sources in the Wall Street Journal article US, China close in on Trade Deal. In this article it divides the deal in two sections. The first aspects have largely to do with deficits and is political.
As part of a deal, China is pledging to help level the playing field, including speeding up the timetable for removing foreign-ownership limitations on car ventures and reducing tariffs on imported vehicles to below the current auto tariff of 15%. Beijing would also step up purchases of U.S. goods—a tactic designed to appeal to President Trump, who campaigned on closing the bilateral trade deficit with China. One of the sweeteners would be an $18 billion natural-gas purchase from Cheniere Energy Inc., people familiar with the transaction said.
The second part will involve the following.
  1. Commitment Regarding Industrial Policy
  2. Provisions to protect IP
  3. Mechanism which complaints by US companies can be addressed
  4. Bilateral meetings adjudicate disputes. If talks don't produce agreement than US can raise tariffs unilaterally
This grouping of conditions is similar to the points filled under the 301 investigation which serve the basis for initiating the tariffs. I have been reading some sources that say this discussion on this second group of broader issues could only be finalized later
The official justifications for placing the tariffs on Chinese goods is found under the March 2018 investigation submitted by the office of the President to Congress titled FINDINGS OF THE INVESTIGATION INTO CHINA’S ACTS, POLICIES, AND PRACTICES RELATED TO TECHNOLOGY TRANSFER, INTELLECTUAL PROPERTY, AND INNOVATION UNDER SECTION 301 OF THE TRADE ACT OF 1974. From this investigation the United States Trade Representative (USTR) place US Tariffs on Chinese goods as per Section 301 of the Trade Act of 1974. Here is a press release by the USTR listing the reasons for placing tariffs, and the key section from the press release. Specifically, the Section 301 investigation revealed:
In the bigger context of trade relations between US and China, China is not honoring its WTO commitments, and the USTR issued its yearly report to Congress in early February about the status of China compliance with its WTO commitments. The points that served as a basis for applying Section 301, also deviate from her commitments as Clinton's Trade Representative Charlene Barshefsky paving the way for a trade war. Barshefsky argues that China's back sliding was happening as early as 2006-07, and believes the trade war could have been avoided has those commitments been enforced by previous administrations.
I will provide a brief overview of WTO membership and China's process of getting into the WTO.
WTO members can be divided into two groups, first are countries that joined in 1995-97, and were members of GATT, than there are the second group that joined after 1997. China joined in 2001. There is an argument that when China joined in 2001, she faced more stringent conditions than other developing countries that joined before, because the vast majority of developing countries were members of GATT, and were admitted to the WTO based on that previous membership in GATT. Here is Brookings Institute article published in 2001 titled "Issues in China’s WTO Accession"
This question is all the more puzzling because the scope and depth of demands placed on entrants into the formal international trading system have increased substantially since the formal conclusion of the Uruguay Round of trade negotiations in 1994, which expanded the agenda considerably by covering many services, agriculture, intellectual property, and certain aspects of foreign direct investment. Since 1994, the international community has added agreements covering information technology, basic telecommunications services, and financial services. WTO membership now entails liberalization of a much broader range of domestic economic activity, including areas that traditionally have been regarded by most countries as among the most sensitive, than was required of countries entering the WTO’s predecessor organization the GATT.
The terms of China’s protocol of accession to the World Trade Organization reflect the developments just described and more. China’s market access commitments are much more far-reaching than those that governed the accession of countries only a decade ago. And, as a condition for membership, China was required to make protocol commitments that substantially exceed those made by any other member of the World Trade Organization, including those that have joined since 1995. The broader and deeper commitments China has made inevitably will entail substantial short-term economic costs.
What are the WTO commitments Barshefsky goes on about? When countries join the WTO, particularly those countries that weren't members of GATT and joined after 1997, they have to work toward fulfilling certain commitments. There are 4 key documents when countries make an accession to WTO membership, the working party report, the accession protocol paper, the goods schedule and service schedule.
In the working party report as part of the conclusion which specifies the commitment of each member country what they will do in areas that aren't compliant with WTO regulations on the date they joined. The problem there is no good enforcement mechanism for other members to force China to comply with these commitments. And WTO punishments are weak.
Here is the commitment paragraph for China
"The Working Party took note of the explanations and statements of China concerning its foreign trade regime, as reflected in this Report. The Working Party took note of the commitments given by China in relation to certain specific matters which are reproduced in paragraphs 18-19, 22-23, 35-36, 40, 42, 46-47, 49, 60, 62, 64, 68, 70, 73, 75, 78-79, 83-84, 86, 91-93, 96, 100-103, 107, 111, 115-117, 119-120, 122-123, 126-132, 136, 138, 140, 143, 145, 146, 148, 152, 154, 157, 162, 165, 167-168, 170-174, 177-178, 180, 182, 184-185, 187, 190-197, 199-200, 203-207, 210, 212-213, 215, 217, 222-223, 225, 227-228, 231-235, 238, 240-242, 252, 256, 259, 263, 265, 270, 275, 284, 286, 288, 291, 292, 296, 299, 302, 304-305, 307-310, 312-318, 320, 322, 331-334, 336, 339 and 341 of this Report and noted that these commitments are incorporated in paragraph 1.2 of the Draft Protocol. "
This is a tool by the WTO that list all the WTO commitment of each country in the working paper. In the goods and service schedule they have commitments for particular sectors. Here is the a press release by the WTO in September 2001, after successfully concluding talks for accession, and brief summary of key areas in which China hasn't fulfilled her commitments. Most of the commitments made by China were made to address its legacy as a non-market economy and involvement of state owned enterprises. In my opinion, I think the US government and investors grew increasingly frustrated with China, after 2007 not just because of China's back sliding, but relative to other countries who joined after 1997 like Vietnam, another non-market Leninist dictatorship. When comparing China's commitments to the WTO its best to compare her progress with those that joined after 1997, which were mostly ex-Soviet Republics.
NOTE: The Chinese media have for two decades compared any time the US has talked about China's currency manipulation or any other issue as a pretext for imposing tariffs on China to the Plaza Accords. I am very sure people will raise it here. My criticism of this view is fourfold. First, the US targeted not just Japan, but France, Britain and the UK as well. Secondly, the causes of the Japan lost decade were due largely to internal factors. Thirdly, Japan, UK, Britain and France in the 1980s, the Yuan isn't undervalued today. Lastly, in the USTR investigation, its China's practices that are the concern, not so much the trade deficit.

REASONS FOR TRUMPS UNILATERAL APPROACH

I feel that people shouldn't dismiss Trump's unilateral approach toward China for several reasons.
  1. The multilateral approach won't work in many issues such as the trade deficit, commercial espionage and intellectual property, because US and her allies have different interest with regard to these issues. Germany and Japan and trade surpluses with China, while the US runs a deficit. In order to reach a consensus means the West has to compromise among themselves, and the end result if the type of toothless resolutions you commonly find in ASEAN regarding the SCS. Does America want to "compromise" its interest to appease a politician like Justin Trudeau? Not to mention opposition from domestic interest. TPP was opposed by both Clinton and Trump during the election.
  2. You can't launch a geopolitical front against China using a newly formed trade block like the TPP. Some of the existing TPP members are in economic groups with China, like Malaysia and Australia.
  3. China has joined a multitude of international bodies, and at least in trade, these bodies haven't changed its behavior.
  4. Dealing with China, its a no win situation whether you use a tough multilateral / unilateral approach. If the US endorse a tough unilateral approach gives the impression that the US is acting like the British during the Opium War. If you take a concerted Western approach you are accused of acting like the 8 Powers Alliance in 1900.
  5. Trump was elected to deal with China which he and his supporters believe was responsible for the loss of millions manufacturing jobs when China joined the WTO in 2001. It is estimate the US lost 6 Million jobs, about 1/4 of US manufacturing Jobs. This has been subsequently advanced by some economists. The ball got rolling when Bill Clinton decided to grant China Most Favored Nation status in 1999, just a decade after Tiananmen.
  6. China hasn't dealt with issues like IP protection, market access, subsidies to state own companies and state funded industrial spying.
To his credit, Trump has said his aim was not to overthrow authoritarian governments, and that even applies to the likes of Iran. The Arab spring scared Russia and China, because the US for a brief moment placed the spread of democracy over its security interest.

UNDERSTANDING HOW THE US MAKES DECISIONS REGARDING CHINA

At this moment, China or the trade war isn't an area of great concern for the American public, among international issues it ranks lower than international terrorism, North Korea and Iran's nuclear program.
According to the survey, 39 percent of the country views China’s growing power as a “critical threat” to Americans. That ranked it only eighth among 12 potential threats listed and placed China well behind the perceived threats from international terrorism (66 percent), North Korea’s nuclear program (59 percent) and Iran’s nuclear program (52 percent). It’s also considerably lower than when the same question was asked during the 1990s, when more than half of those polled listed China as a critical threat. That broadly tracks with a recent poll from the Pew Research Center that found concern about U.S.-China economic issues had decreased since 2012.
In looking at how US conducts relations foreign policy with China, we should look at it from the three areas of most concern - economic, national security and ideology. Each sphere has their interest groups, and sometimes groups can occupy two spheres at once. Security experts are concerned with some aspects of China's economic actions like IP theft and industrial policy (China 2025), because they are related to security. In these sphere there are your hawks and dove. And each sphere is dominated by certain interest groups. That is why US policy toward China can often appear contradictory. You have Trump want to reduce the trade deficit, but security experts advocating for restrictions on dual use technology who are buttressed by people who want export restrictions on China, as a way of getting market access.
Right now the economic concerns are most dominant, and the hawks seem to dominate. The economic hawks traditionally have been domestic manufacturing companies and economic nationalist. In reality the hawks aren't dominant, but the groups like US Companies with large investment in China and Wall Street are no longer defending China, and some have turned hawkish against China. These US companies are the main conduit in which China's lobby Congress, since China only spends 50% of what Taiwan spends lobbying Congress.
THE ANGLO SAXON WORLD AND CHINA
I don't think many Chinese even those that speak English, have a good understanding Anglo-Saxon society mindset. Anglo Saxons countries, whether US, UK, Canada, Australia, New Zealand and Ireland are commerce driven society governed by sanctity of contracts. The English great philosophical contributions to Western philosophy have primarily to do with economics and politics like Adam Smith, John Locke, David Hume and Thomas Hobbes. This contrast with the French and Germans. Politics in the UK and to a lesser extent the US, is centered around economics, while in Mainland Europe its religion. When the Americans revolted against the British Empire in 1776, the initial source of the grievances were taxes.
Outside of East Asia, the rest of the World's relationship with China was largely commercial, and for United States, being an Anglosaxon country, even more so. In Southeast Asia, Chinese aren't known for high culture, but for trade and commerce. Outside Vietnam, most of Chinese loans words in Southeast Asian languages involve either food or money. The influence is akin to Yiddish in English.
Some people point to the Mao and Nixon meeting as great strategic breakthrough and symbol of what great power politics should look like. The reality is that the Mao-Nixon meeting was an anomaly in the long history of relations with China and the West. Much of China-Western relations over the last 500 years was conducted by multitudes of nameless Chinese and Western traders. The period from 1949-1979 was the only period were strategic concerns triumphed trade, because China had little to offer except instability and revolution. Even in this period, China's attempt to spread revolution in Southeast Asia was a threat to Western investments and corporate interest in the region. During the nadir of both the Qing Dynasty and Republican period, China was still engaged in its traditional commercial role. Throughout much of history of their relations with China, the goals of Britain and the United States were primarily economic,
IMAGINE JUST 10% OF CHINA BOUGHT MY PRODUCT
From the beginning, the allure of China to Western businesses and traders has been its sheer size I. One of the points that the USTR mentions is lack of market access for US companies operating in China, while Chinese companies face much less restrictions operating in the US.
This is supported by remarks by Henry Paulson and Charlene Barshefsky. As Paulson remarked
Trade with China has hurt some American workers. And they have expressed their grievances at the ballot box.
So while many attribute this shift to the Trump Administration, I do not. What we are now seeing will likely endure for some time within the American policy establishment. China is viewed—by a growing consensus—not just as a strategic challenge to the United States but as a country whose rise has come at America’s expense. In this environment, it would be helpful if the US-China relationship had more advocates. That it does not reflects another failure:
In large part because China has been slow to open its economy since it joined the WTO, the American business community has turned from advocate to skeptic and even opponent of past US policies toward China. American business doesn’t want a tariff war but it does want a more aggressive approach from our government. How can it be that those who know China best, work there, do business there, make money there, and have advocated for productive relations in the past, are among those now arguing for more confrontation? The answer lies in the story of stalled competition policy, and the slow pace of opening, over nearly two decades. This has discouraged and fragmented the American business community. And it has reinforced the negative attitudinal shift among our political and expert classes. In short, even though many American businesses continue to prosper in China, a growing number of firms have given up hope that the playing field will ever be level. Some have accepted the Faustian bargain of maximizing today’s earnings per share while operating under restrictions that jeopardize their future competitiveness. But that doesn’t mean they’re happy about it. Nor does it mean they aren’t acutely aware of the risks — or thinking harder than ever before about how to diversify their risks away from, and beyond, China.
What is interesting about Paulson's speech is he spend only one sentence about displaced US workers, and a whole paragraph about US business operating in China. While Kissinger writes books about China, how much does he contribute to both Democrats and the Republicans during the election cycle? China is increasingly makING it more difficult for US companies operating and those exporting products to China.

CONTINUED

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