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Forex Trading Systems (2015) - High Frequency Trading Programs Documentary

Forex Trading Systems (2015) - High Frequency Trading Programs Documentary submitted by gorillaz0e to Documentaries [link] [comments]

Renko Pip Scalper Review 2015 - Is Renko Pip Scalper SCAM? How Does Renko Pip Scalper Software Work???.. Best Forex Trading Scalper System In 2015

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submitted by PiaSotlo to RenkoPipScalper [link] [comments]

I Automated & Backtested ParallaxFX Strategy

I am a Software Engineer / Data Scientist and I decided to give a go at automating a strategy based on the ParallaxFX strategy floating around and backtests the results, also due to some inspiration by Vanguer
 
I backtested on the majors 4H timeframe between January 2015 to January 2020.
 
I am only considering trades from the top and bottom bands for now.
 
My trading criteria is:
 
Upper Band
Indecision candle
Setup candle
 
Lower Band
Indecision candle
Setup candle
 
Entry: 38.2 Fib
Stop Loss: 100 Fib
Take Profit: -161.8 Fib
RRR: 3.23
 
If a candle meets my trade criteria I open the trade and forget about it.
 
I started with a balance of 500 EUR and a risk of 1%. The results use compound gain / loss and I only considered one currency pair at a time.
 
The results were not that impressive...
EUUSD
AUD/USD
GBP/USD
NZD/USD
USD/CAD
USD/CHF
 
Due to this being automated I can test a variety of parameters pretty quickly and come back with trading screenshots, results, etc.
 
I am considering a higher timeframe but the number of trades is already fairly low.
 
Here is a link to a Google Drive (https://drive.google.com/drive/folders/16cO0ZSCGakkbK90lh-FBIC3ZJIxOj9fI?usp=sharing) with screenshots from each trade and a log of the system as it makes the trades. The candles highlighted in yellow / purple are where the trade is entered. I do not have the picture marked as a win / lose but it should be obvious by the candle formation.
submitted by TribeFX to Forex [link] [comments]

THROW YOUR FD's in FDS

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down:
https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a

https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp
https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45

FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:

https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7
So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%
https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e

EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.
https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd

P/E has declined in the past 2 years, making it a great time to buy.

https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d
Increasing ROE despite lowering of leverage post 2016
https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b

Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.
https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848

SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares
I’d say it’s a great long term investment, and it should at least be on your watchlist.
submitted by WannabeStonks69 to wallstreetbets [link] [comments]

IS ____ AN MLM? SEARCH HERE. (MEGA THREAD)

For a quick, easier search - http://www.isthisanmlm.com/ has compiled this whole thread. Special thanks to u/SHIFTnSPACE. - This is now a part of the sidebar as a button widget!

What is an MLM?

Multi-level marketing (MLM), also called pyramid selling, network marketing, and referral marketing, is a marketing strategy for the sale of products or services where the revenue of the MLM company is derived from a non-salaried workforce selling the company's products/services, while the earnings of the participants are derived from a pyramid-shaped or binary compensation commission system. ​
THIS LIST MAY CONTAIN COMPANIES THAT HAVE PREVIOUSLY HAD MLM BRANCH BUT MAY NO LONGER HAVE ONE.
If you see a company and are not sure that it belongs on this list, please reach out. I have compiled this list from the sources listed at the bottom along with input from community members. This list may not be 100% accurate but the goal is to get it as close as possible.
31 - Bags
5Linx - Home & Business Services
Abby & Anna - Clothing
ACAN Pacific - Utilities
ACN - Utilities
ActiLabs - Skincare/Health
Adornable.U - Accessories
Advocare - Dietary Supplements
AeroGrow - Garden Tools
Agnes & Dora - Clothing
AIM Global - Nutritional Supplements
Akasuka (Japan) -
Alcone - Beauty
Alice's Table - Flower Arrangement Classes
All'asta - Home Goods
Allysian Sciences -
Aloe Vera of America (Young Living) - Nutritional Supplements
Aloette - Beauty
Alphay Int - Nutritional Supplements
AlureVe - Skincare/Health
Amare Global - Nutritional Supplements
Ambit - Utilities
Amelia James -
Ameo - Essential Oils
American Income Life - Financial
Amsoil - Motor Oil
Amway - Health/Beauty/Home Goods
Ann Summers - Product
Ann Summers (UK) - Adult Novelties
Anorak (UK) - Home Goods
Anran (China) -
Apollo (India) - Juice
Apriori - Skincare/Health
AquaSource UK - Nutritional Supplements
Arbonne - Skincare/Health
ARIIX - Water Purification
Arsoa Honsha (Japan) - Fitness/Weight Loss
Asea Global - Nutritional Supplements
Asirvia (shut down) - Marketing
Aspire/Digital Altitude - Marketing
ATC Coin - Crypto Currency
Athena's - Adult Novelties
Atomy - Skincare/Health
Ava Anderson -
Ava Rose - Clot
Avisae - Weight Loss
Avon - Beauty
b:hip Global - Health
Bachar Nutrition - Nutritional Supplements
Bamboo Pink - Jewelry
Barefoot Books - Books
Bath.Ologie - Bath Bombs
Beach Body - Fitness/Weight Loss Videos
BearCereju (Japan) - Cosmetics
BeautiControl -
Beauty Counter - Cosmetics
Beauty Society - Beauty
beCAUSE Cosmetics - Cosmetics
Become International (US & AUS) - Cosmetics
Bedroom Kandi - Adult Novelties
Beever (UK) - Hair Care
BelCorp (Latin America) - Cosmetics
Bellame - Skincare/Health
Bemer - Appliances
Better Way Design/Imports - Clothing
Biogreen Argentina -
BioPerformance - Automotive (Fuel Pills)
Bod-e Pro - Nutritional Supplements
Body by Vi/Visalus - Health
Body Shop at Home - Beauty
Boisset Collection - Wine
Boston Finney (shut down) -
Bounce Life/Network - Insurance
Bud Star (Canada) - CBD/THC Products
BurnLounge (shut down as pyramid scheme by FTC in 2012) -
Buskins - Clothing
Butterfly Beauty - Cosmetics
Cabi - Clothing
Cambridge Weight Plan/Diet - Dietary Supplements
CAN - Utilities
Captain Tortue - Clothing
Carico Int - Home Goods
Celebrating Home - Home Goods
Cellements - Skincare/Health
CEO Movement (Not MLM but scammy) -
Chalk Couture - Chalkboard Signs
Chalky & Co - Home Goods
Chandeal (Japan) - Clothing
Charle (Japan) - Clothing
Charlie's Project - Clothing
Chef's Toolbox (AUS) (Insolvency) - Kitchen Accessories
Cherish Natural Products -
Chloe & Isabel - Jewelry
Clever Container - Home Goods
Close to My Heart - Scrapbooking
Cloud 9 Parties - Adult Novelties
Cobra Group/Appco -
Cocoa Exchange - Food
Color by Amber - Jewelry
Color Happy -
Color Street - Nail Wraps
Colour Me Beautiful (UK) - Clothing
Compelling Creations - Jewelry
Conklin - Roofing
Cookie Lee (shut down) -
Cosway (Malaysia) - Health/Beauty/Home Goods
Country Scents - Product/Candles
Create Your Life - Health
Creative Memories - Scrapbooking
Credit Repair USA - Financial
Crunchi - Cosmetics
Cutco - Knives
CVSL - Multiple Companies
Daisy Blue Naturals - Personal Care
Damsel in Defense - Product/Self Defense
Darceys - Candles
David Lerner Associates, INC - Financial
Dazzle and Daze - Clothing
Deutsche vermögensberatung/Dvag (Germany) - Financial
Diana (Japan) -
Dione Cosmetics - Cosmetics
Direct Cellars/DC Nation - Wine
Discovery Toys - Educational Toys
Divvee/Nui -
Dot Dot Smile - Clothing
DoTERRA - Health/Oils
Du Northing Designs - Clothing
Dubli Network - Financial
Dudley Beauty - Cosmetics
DXN - Health/Beauty/Home Goods
Dynamic Essentials -
EcoWarehouse - Home Goods
Elepreneuer -
Elk River Soaps - Personal Care
Ella Tina - Clothing
Elli Kai - Clothing
Elvacity - Nutritional Supplements
EmGoldEx/Global Intergold -
Enagic/Kangen Water - Ionized Water
Endless Xpressions - Clothing/Accessories
Enersource Int - Nutritional Supplements
Enjo (AUS) - Cleaning Producs
Envy Jewelry - Jewelry
Epicure (Canada) - Food
Equinox International (dissolved in 2001) -
Ergo (Germany) - Insurance
Essante Organics -
Essential Bodywear - Clothing
European Grouping of Marketing Professionals/CEDIPAC SA (dissolved 1995) -
European Home Retail (dissolved 2007) -
Evanescence Network - Health
EVER Skincare - Skincare/Health
Evolution Travel - Product
EvolvHealth - Health
Faberlic (Russia) - Health/Beauty/Home Goods
Family First Life - Insurance
Family Heritage Insurance - Insurance
Fantasia - Adult Novelties
Fantasia (Canada) - Adult Novelties
Farmasi -
FES Connect - Financial
Fibi & Clo - Footwear
Fifth Ave Collection - Jewelry
First Fitness Nutrition - Dietary Supplements
Fit4Mom - Clothing
FITTEAM Global - Dietary Supplements
Flamingo Paperie - Art
Fleuresse -
FM World (UK) -
For Tails Only - Pet Supplies
Forever Living - Health/Oils
Forex Education (iMarkets Live branch) - Crypto
Forex Entourage - Financial
Fortune Hi-Tech Marketing (dissolved 2013) -
Four Oceans - Health
Fragant Jewels - Bathbombs
FreeLife - Nutritional Supplements
Frontrow -
Fuel Freedom Int - Automotive
Fund America (Bankrupt 1990) -
Gano Excel - Nutritional Supplements
GelMoment - Beauty
Gemstra - Jewelry
Genesis Pure - Nutritional Supplements
Global Legacy Initiative -
GoDesana - Pet
Gold Canyon - Product/Candles
Golden Days (China) - Health
Grace & Heart - Jewelry
Green HoriZen - CBD
Greeting Cake Company - Cake Kits
H2O At Home - Personal Care
Hale - CBD Oil
Hanky Panky Parties (Canada) - Adult Novelties
Happy Coffee - Coffee
Harvard Risk Management (Legal Shield) -
Hayward's Gourmet Popcorn - Food
HB Naturals - Health
He(L)o - Health
Healthy Peach - Dietary Supplements
Heavenly Chia - Food
Heka Corp - Fitness
Helo Wristbands - Health
HempWorx - Health
Herbalife - Health
Heritage Makers - Scrapbooking
Hinode - Cosmetics
Holiday Magic (shut down) -
Home Interiors - Home Goods
Honey - Beauty
Honey & Lace - Clothing
Hualin Biotech (China) - Health
iCoinPro - Crypto Currency
ID Life - Health
Igniting Passion (Canada) - Adult Novelties
iMarketsLive - Financial Trading Software
Immunotec - Health
Imperial Candles (UK) - Candles
In a Pikle - Bags
Income Advantage -
India Hicks - Product/Accessories
Infinitus - Health
Initials, Inc - Bags
Inkd Up Nails - Beauty
innov8tive nutrition - Nutritional Supplements
InteleTravel - Travel
Intimo (AUS/NZ) - Adult Novelties
Isagenix - Dietary Supplements
ItWorks! - Health
J. Elizabeth - Clothing
J. Hilburn - Clothing
J.R Watkins -
Jafra - Beauty
Jamberry - Beauty
Jamby - Clothing
Jamie at Home (shut down) -
Janice Collection - Home Goods
Java Momma - Coffee
Javita - Coffee
Jbloom - Jewelry
Jequiti - Cosmetics
Jerky Direct -
Jeunesse - Beauty
Jewel Kade (31) - Jewelry
Jewelscent - Product/Candles
JK Apparel (Canada) - Clothing
Jordan Essentials - Beauty
JoyMain (China) - Health
Joyome (Plexus) - Beauty
JuicePlus - Nutritional Supplements
Jump Natural - Health
Kaesar & Blair -
Kalaia - Skincare/Health
Kalo & Co - Pearl/Jewelry
Kangen Water -
Kannaway - CBD Oil
Karat Bars - Gold
Kaszazz - Scrapbooking
Keep Collective - Jewelry
Keep Me Safe - Cos
KETO (Pruvit) -
Keto Coffee - Coffee
Ketones - Health
Kirby - Vacuums
Kleeneze - Home Goods
Kobold (Vorwerk) -
Kyani - Health
Labella Baskets - Home Goods
Lady Godiva Beauty - Cosmetics
Lavylites - Beauty
L'BRI - Beauty
LeadUp Consulting -
Legal Shield - Legal Services
LegArt (Canada) - Leggings
Legend Age (China) -
Legging Army - Clothing
Legging Girl - Clothing
Lemongrass Spa - Beauty
LeReve (Canada) - Cosmetics
Le-Vel (Thrive) - Health
Lia Sophia (dissolved) - Jewelry
Life Abundance - Pet
LIFE Leadership - Financial
Life Tree World - Food
LifeBrook -
LifePlus (US/Germany) - Dietary Supplements
Life's Abundance - Pet Supplies
LifeVantage - Dietary Supplements
Lilla Rose - Jewelry
Limelife - Skincare/Health
Limu - Health
Limu - Nutritional Supplements
Linen World - Home Goods
Lion Crown -
Lipsense - Beauty
Liv International - Travel
Live Sore - Clothing
Longabeger Company - Baskets
Longrich (China) - Beauty
Lorraine Lee Linen - Home Goods
Love Winx - Adult Novelties
LR Beauty & Health - Beauty
LuLaRoe - Clothing
Lulu Ave - Jewelry
Luminess - Cosmetics
Lyconet/Lyoness -
Lyoness - Financial
M. Global (Jamberry) - Jewelry
M. Network - Nutritional Supplements
Maelle Beauty - Beauty
Magnabilities - Jewelry
Magnolia & Vine - Jewelry
Makeup Eraser - Cosmetics
Man Cave - Kitchen Accessories
Mannatech - Dietary Supplements
Mark. - Financial
Market America - Health/Beauty/Home Goods
Marly Ray - Pearl/Jewelry
Marvelous Mouse Travels - Travel
Mary & Martha - Home Goods
MaryKay - Beauty
Maskara - Beauty
Matilda Jane - Clothing
Max & Madeleine - Skincare/Health
Maxwell Clothing - Clothing
MCA - Financial
Medifast - Nutritional Supplements
Melaleuca - Health/Beauty/Home Goods
Metabolife (dissolved in 2005) -
MiA Bath and Body (Closed) -
mialisia - Jewelry
Miche EU - Accessories
Miki (Asia) - Nutritional Supplements
MOA Nutrition - Nutritional Supplements
Modere -
MojiLife - Essential Oils
Monat - Hair Care
MonaVie (went into foreclosure 2015) -
Morinda Bioactives - Personal Care/Dietary Supplements
Motives Cosmetics - Cosmetics
Multpure - Water
My Club 8 - CBD Oil
My Daily Choice - Nutritional Supplements
My LALA Leggings - Clothing
myEcon - Financial
National Safety Associates - Dietary Supplements
National Wealth Center - Education
Natura (Brazil) - Cosmetics
Nature Direct (AUS) - Essential Oils
Nature's Sunshine Products - Dietary Supplements
Neal's Yard Remedies Organic - Beauty
NeoLife - Dietary Supplements
Neora (Nerium) -
Nerium - Skincare/Health
NeVetica - Pet Supplies
New Era (China) - Nutritional Supplements
New U Life - Health
Neways - Personal Care
Nikken -
Noevir - Beauty
Nomades - Jewelry
Noonday Collection - Jewelry
Norwex - Cleaning Producs
Nouveau Riche (real estate investment college) (dissolved 2010 -
Nspire Network - Feminine Products
NuCerity - Skincare/Health
NuSkin - Tooth Paste/Personal Care
Nutriboom -
NXIVM - Financial
Nygard - Clothing
Omnilife - Dietary Supplements
One Hope Wine - Wine
Optavia - Health
Opulenza - Jewelry
Organo Gold - Coffee
Oriflame - Personal Care
Origami Owl - Jewelry
Our Hearts Desire - Jewelry
Paid 2 Save - Travel
Pampered Chef - Kitchen Accessories
Paparazzi - Jewelry
Paperly - Paper
Park Lane Jewelry - Jewelry
Party Girl - Candles
Party Lite - Candles
Party Time Mixes - Food
PartyLite - Candles
Passion Parties - Adult Novelties
Pawtree - Pet
Paycation - Travel
Peach - Clothing
Pearl Chic - Pearl/Jewelry
Peekaboo Beans - Clothing
Perfect (China) - Cosmetics
Perfectly Polished - Beauty
Perfectly Posh - Beauty
Personally Poetic - Jewelry
PHP - Insurance
Pierre Lang - Jewelry
Pink Zebra - Candles
Piphany - Clothing
PixieLane - Clothing
Plexus - Health
Plumeria Bath - Beauty
Plunder - Jewelry
PM International - Health
Pola (Japan) - Skincare/Health
Poofy Organics - Beauty
Powur - Solar Panels
Premier Designs - Jewelry
Premier Financial - Financial
PrimeMyBody - Health
Primerica - Financial
Princess House - Kitchen Accessories
ProDoula -
ProYoung - Health
Pruvit - Health
Pulse Cosmetics - Cosmetics
Pure Haven - Cosmetics
Pure Romance - Product
PureHaven - Home Goods
PUREly - Essential Oils
Purium - Health
Qnet - Nutritional Supplements
Quanjian Natural (China) - Food
RadiantlyYou -
Rain International - Health
Rainbow Vacuum - Vacuums
Real Time Pain Relief - Health
Red Aspen - Beauty
RED Safety - Security
Regal Home and Gifts - Home Goods
Reliv - Health
Reliv - Nutritional Supplements
Renatus Real Estate - Education
RevitalU - Coffee/Health
Riway - Deer Placenta
Robert Kiyosaki -
Rodan+Fields - Beauty
Roland (Vorwerk) -
Rolmex (China) - Kitchen Accessories
Royal Tongan Limu (dissolved in 2003) -
Royaltie Gens - Marketing
Ruby Ribbon - Clothing
Saba - Health/Beauty
Sabika Jewelry - Jewelry
SafeGirl Security - Self Defense
Salad Master - Home Goods
SARSO (India) -
Scentsy - Health/Oils
Schneider's Gourmet World - Food
Scout & Cellar - Wine
Seacret - Beauty
SendOutCards - Gift Cards
Senegence - Skincare/Health
Shakeology (BeachBody) - Dietary Supplements
Shaklee - Dietary Supplements
Shopping Sherlock -
Shrimp & Grits - Clothing
Signature Homestyles - Home Goods
Silpada - Jewelry
Silver Icing - Jewelry
Simple Man - Personal Care
Simply Success Elite -
SimplyFun Games - Education
Skinny Body at Home - Dietary Supplements
SkinSanity/Tomorrow's Leaf - Skincare/Health
Smart Circle -
Smartway -
Solavei (dissolved 2015)[ -
Solvei (bankrupt) -
Sophie Paris (France/Asia) - Clothing
South Hill Designs - Jewelry
Southern Living at Home - Home Goods
SouthWestern Advantage - Education
Sseko - Clothing
Stampin Up - Paper
Steam Energy - Utilities
Steeped Tea - Tea
Stella & Dot - Clothing
Stream Energy - Financial
Style Dots - Jewelry
Success University - Education
Sun Hope (China) -
Sunrider - Health/Beauty/Home Goods
Sunset Gourmet - Food
Sunshine Empire (dissolved 2009) -
Surge 365 - Travel
Sweet Legs - Clothing
Sweet Minerals - Beauty
Symmetry Financial Group - Insurance
Syntek Global - Automotive
T.O.P Marketing Group -
TAG Team Marketing -
Taisei/Green Planet/Kaikisui (Japan_ - Purifiers
Tara at Home - Home Goods
Tastefully Simple - Food
Tavala - Health
Tealightful - Tea
Team National - Financial
TeDivina - Tea
Telecom Plus (UK) - Utilities
Telexfree (bankrupt 2014) -
The Advert Platfrom - Crypto Currency
The Body Shop at Home - Beauty
The Landmark Forum - Health
The Super Affiliate Network - Marketing
Thermomix (Vorwerk) -
Thirty One - Bags
Thrive - Health
Thrive Life - Food
Tiber River Naturals - Beauty
TKO WorldWide -
Tocara (Canada) - Jewelry
Tom James - Clothing
Total Life Changes/TLC - Health
TouchStone Crystal - Jewelry
Touchstone Essentials - Dietary Supplements
Tracy Negoshian - Clothing
Trades of Hope - Jewelry
Tranont - Financial
Transformational Beauty - Cosmetics
Travel Evolution - Travel
Traveling Vineyard - Wine
TraVerus Global - Travel
TriVita - Nutritional Supplements
Tropic Skin Care - Skincare/Health
True Peak Revolution (Europe) -
Truvision Health - Health
TS-Life - Nutritional Supplements
Tupperware - Tupperware
Unicity - Health
United Sciences of America (dissolved in 1987) -
United Warehouse (UK) -
US Health Advisors -
Usana - Nutritional Supplements
Usborne - Books
Utility Warehouse (UK) - Utilities
Valentus - Dietary Supplements
Vantel - Product/Pearls
Vasayo - Health
VectoCutco - Knives
Vemma - Dietary Supplements
viaOneHope - Wine
ViBella - Jewelry
VIC Cosmetics -
Vida Divina - Tea
Vie at Home (closed) -
Virtuity Financial Group (World Financial Group) -
ViSalus (Body by VI) - Dietary Supplements
Vitality Extracts - Essential Oils
VivaMK - Cleaning Producs
Volo - Health
Vorwerk - Home Goods
Votre Belle Maison (UK) - Giftware
Voxxlife - Health
Wakaya Perfection - Health
WakeUpNow (dissolved 2015) -
Watkins Inc - Health/Home Goods
Wealthperx - Travel
Wikaniko - Home Goods
Wildtree - Food
Willing Beauty - Beauty
Winasun - Health
Wine Shop at Home - Wine
Wines for Humanity - Wine
Wink Naturals - Health
World Financial Group/Pinnacle Leadership Development - Financial
World Leadership Group (dissolved in 2008) -
World Ventures/Wealth Wave/TKO WorldWide - Travel
WoTaBu - Travel
XanGo/Ziji - Health
Xerveo - Dietary Supplements
Xoom Energy - Utilities
Xooma - Weight Loss
Xstream Travel - Travel
Xyngular - Health
Yanbal Int - Jewelry
Yandi (China) - Nutritional Supplements
Yelloow - Beauty
Yevo (closed) -
Yofoto (China) - Health
Yoli - Health
Yoonla -
YOR Health - Weight Loss
Young Living - Health
Youngevity -
Younique - Beauty
YTB International - Travel
Zepter -
Zija - Health
Zilis - Health
Zinzino (Scandanavia) -
Zrii - Skincare/Health
Zurvita - Health
Zyia - Clothing
Zyn - Travel
TOTAL COUNT = 594 ​ This list will be continually updated (5/19/2020).
2018 Archived MLM Mega Thread

Sources: https://mlmtruth.org/2018/02/08/the-mlm-master-list/ , https://en.wikipedia.org/wiki/List_of_multi-level_marketing_companies Special thanks to u/Copacetic1515 (I could not stick your thread)

For income disclosure information: Updated 2019 Thread

Other Helpful Links: Discussion about World Financial Group
submitted by antiMLMmod to antiMLM [link] [comments]

2 years of PTI with the economy

As PTI comes onto two years, I felt like making this post on account of seeing multiple people supporting PML-N for having an allegedly better economy for Pakistan, particularly with allegations present that PTI has done nothing for the economy. So here's a short list of some major achievements done by PTI in contrast to PML-N.
This is by no means a highly comprehensive list, just my opinion on some of the bigger achievements; saving the economy from defaulting, adopting tax reforms, tourism reforms, export reforms among them whilst managing covid and economic stability with relative success.
There are of course a multitude of other factors, successfully avoiding a blacklist from the FATF, macroeconomic reforms, attempts to strengthen the working class; ehsaas programs, Naya Pakistan housing schemes alongside other relief efforts. These are measures in accordance with curtailing the effect of increasing taxation and attempts to abate the economic slowdown that came as a result of forcing an increase in government revenue. Alongside the focus on multiple new hydroelectric dams, industrial cities, reduction of the PM office staff from 552 to 298, 10 billion tree project and an overall renewed interest in renewable energy and green Pakistan. The list is comprehensive.
Pakistan remains on a rocky path, it is not out of the woods yet. Covid-19 has seriously hampered the overall projections, and caused a worldwide economic contraction. Not only that, but there are criticisms that can be attributed to the government as well, as they are not without fault. However, the overall achievements of the government with regards to the economy do present hope for the long-term fiscal policy and development of Pakistan.
submitted by moron1ctendenc1es to pakistan [link] [comments]

Chance Me: CS Major

Reposting because I didn't get input last time.
Demographics: Indian. Male. From ProspeFrisco Texas. Middle/Upper class area. I would say my high school is very competitive.
Intended Major(s): Computer Science
ACT/SAT/SAT II: SAT: Have not taken a real test. I have taken three practice test all resulted 1440+. Prepping for 1500+, but consider my score to be a flat 1400 for now.
UW GPA and Rank: UW: 3.981 Rank: 12/979
Coursework:
Freshmen Year:
- Honors French 1 (Highest Level that year available to me )
- HonoGT Geometry (Highest Level that year available to me )
- Honors Computer Science 1
- Honors Biology (Highest Level that year available to me )
- AP Human (Highest Level that year available to me ) (4)
- Honors English 1 (Highest Level that year available to me )
- Outdoor Education (Required)
- Digital Art and Animation (Required)
Sophomore Year:
- Honors English 2 (Highest Level that year available to me )
- Honors French 2 (Highest Level that year available to me )
- AP Computer Science A (Highest Level that year available to me ) (5)
- AP Computer Science Principles (Highest Level that year available to me ) (4)
- AP World History (Highest Level that year available to me )
- AP Biology (Highest Level that year available to me ) (3) <-- Not sending this score
- Honors Chemistry (Highest Level that year available to me )
- Honors Algebra 2 (Highest Level that year available to me )
- Academic Level Architecture (Highest Level that year available to me )
Junior Year:
- AP English 3 (Highest Level that year available to me )
- Independent Studies in Video Games (AP Level but not AP) (Highest Level that year available to me )
- Honors UIL Math Prep
- Ap Physics 1 (Highest Level that year available to me ) (5)
- Academic Level US History
- AP Chemistry (Highest Level that year available to me ) (4)
- AP Environmental (Highest Level that year available to me ) (5)
- Honors Pre-Cal (Highest Level that year available to me )
Senior Year (will take upcoming year):
- Honors Computer Science 3 (Highest Level that year available to me )
- Honors Computer Science 2 (Highest Level that year available to me )
- AP English 4 (Highest Level that year available to me )
- AP Gov/Econ (Highest Level that year available to me )
- AP Physics C (Highest Level that year available to me )
- AP Calc BC (Highest Level that year available to me )
- AP Stats (Highest Level that year available to me )
- Still Deciding but not AP for sure.
Awards:
- Adobe Certified Associate - Visual Design using Adobe Photoshop CC2015
- Aloha Math Competition Certificate.
- UIL Math Competition Certificate.
- Multiple Student of the month award
Extracurriculars:
Essays/LORs:
Essays, I have not started.
Letter of Rec: I have three incoming from my teachers. English/CounseloComputer Science/ Math (waiting for response)
Schools:
- MIT,
- Brown University
- Caltech
- Carnegie Mellon
- Columbia University
- Cornell University
- Duke University
- Georgia Institute
- Hamilton
- Harvard University
- Johns Hopkins University
- Princeton University
- Purdue University
- Rice University
- Stanford
- UMich
- UT Austin
- UT Dallas
- Texas A&M
- UC Berkley
submitted by goyalyug000 to chanceme [link] [comments]

Factset DD

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp

FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:

So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%

EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.

P/E has declined in the past 2 years, making it a great time to buy.

Increasing ROE despite lowering of leverage post 2016

Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.

SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
submitted by WannabeStonks69 to investing [link] [comments]

What are my chances?

Demographics: Indian. Male. From ProspeFrisco Texas. Middle/Upper class area. I would say my high school is very competitive.
Intended Major(s): Computer Science
ACT/SAT/SAT II: SAT: Have not taken a real test. I have taken three practice test all resulted 1440+. Prepping for 1500+, but consider my score to be a flat 1400 for now.
UW GPA and Rank: UW: 3.981 Rank: 12/979
Coursework:
Freshmen Year:
- Honors French 1 (Highest Level that year available to me )
- HonoGT Geometry (Highest Level that year available to me )
- Honors Computer Science 1
- Honors Biology (Highest Level that year available to me )
- AP Human (Highest Level that year available to me ) (4)
- Honors English 1 (Highest Level that year available to me )
- Outdoor Education (Required)
- Digital Art and Animation (Required)
Sophomore Year:
- Honors English 2 (Highest Level that year available to me )
- Honors French 2 (Highest Level that year available to me )
- AP Computer Science A (Highest Level that year available to me ) (5)
- AP Computer Science Principles (Highest Level that year available to me ) (4)
- AP World History (Highest Level that year available to me )
- AP Biology (Highest Level that year available to me ) (3) <-- Not sending this score
- Honors Chemistry (Highest Level that year available to me )
- Honors Algebra 2 (Highest Level that year available to me )
- Academic Level Architecture (Highest Level that year available to me )
Junior Year:
- AP English 3 (Highest Level that year available to me )
- Independent Studies in Video Games (AP Level but not AP) (Highest Level that year available to me )
- Honors UIL Math Prep
- Ap Physics 1 (Highest Level that year available to me ) (5)
- Academic Level US History
- AP Chemistry (Highest Level that year available to me ) (4)
- AP Environmental (Highest Level that year available to me ) (5)
- Honors Pre-Cal (Highest Level that year available to me )
Senior Year (will take upcoming year):
- Honors Computer Science 3 (Highest Level that year available to me )
- Honors Computer Science 2 (Highest Level that year available to me )
- AP English 4 (Highest Level that year available to me )
- AP Gov/Econ (Highest Level that year available to me )
- AP Physics C (Highest Level that year available to me )
- AP Calc BC (Highest Level that year available to me )
- AP Stats (Highest Level that year available to me )
- Still Deciding but not AP for sure.

Awards:
- Adobe Certified Associate - Visual Design using Adobe Photoshop CC2015
- Aloha Math Competition Certificate.
- UIL Math Competition Certificate.
- Multiple Student of the month award
Extracurriculars:
Essays/LORs:
Essays, I have not started.
Letter of Rec: I have three incoming from my teachers. English/CounseloComputer Science/ Math (waiting for response)
Schools:
- MIT,
- Brown University
- Caltech
- Carnegie Mellon
- Columbia University
- Cornell University
- Duke University
- Georgia Institute
- Hamilton
- Harvard University
- Johns Hopkins University
- Princeton University
- Purdue University
- Rice University
- Stanford
- UMich
- UT Austin
- UT Dallas
- Texas A&M
- UC Berkley
submitted by goyalyug000 to chanceme [link] [comments]

No, the British did not steal $45 trillion from India

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

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

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

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

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

Bibliography

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

Fellow idiots,
I posted this comment which seems to have angered the highly sophisticated /investing community. I don't mind being downvoted but at least provide some counter arguments if you're going to be a dick. So in the pursuit of truth and tendies for all, I have prepared some juicy due diligence (DD) for WSB Capital on why China is on the verge of collapse.
TL;DR at the bottom.
Point 1: Defaults in China have been accelerating aggressively, and through July 2019, 274 real estate developers filed for bankruptcy, up 50% over last year. A bonus? Many Chinese state controlled banks have been filing for bankruptcy as well. Just google "china bank defaults" or something similar. Notice how many articles there are from 2019? When the banking system fails, everything else usually fails too.
Point 2: The RMB has depreciated significantly. Last time this happened, in 2015-2016, there was a significant outflow of foreign invested capital. According to the IIF, outflows reached $725bn due to the currency depreciation.. This time is different why again? I have heard some arguments why there will be less outflow this time, but I struggle to buy them.
Point 3: Despite wanting to operate like a developed economy, China still has not been able to shrug off the middle income trap. Their GDP per capita is comparable to countries we normally associated with being developing/emerging markets. Tangentially related to point 10.
Point 4: China is an export-dependent economy, with about 20% of their exports contributing towards their GDP. Less exporting means less GDP, less consumption (because businesses make less money, they pay people less, who in turn spend less), which has a greater effect on GDP than any declines in exports would have at face value. Guess what? Chinese exports dropped 1% in August, and August imports dropped -1%, marking the 5th month this year of negative m/m export growth..
Point 5: Business confidence has been weak in China - declining at a sustained pace worse than in 2015. When businesses feel worse, they spend less, invest less in fixed assets, hire less until they feel better about the future. Which takes me to my next point.
Point 6: Fixed asset investment in China has declined 30 percentage points since 2010. While rates are low, confidence is also low, and they are sitting on a record amount of leverage, which means they simply will not be able to afford additional investment.
Point 7: They are an extremely levered economy with a total debt to GDP ratio of over 300%, per the IIF, which also accounts for roughly 15% of global total fucking debt. Here's an interview with someone else talking about it too.
Point 8: Their central bank recently introduced a metric fuckton of stimulus into their economy. This will encourage more borrowing....add fuel to the fire. Moreover, the stimulus will mechanically likely weaken the RMB even more, which could lead to even more foreign outflows, which are already happening, see next point.
Point 9: Fucking LOTS of outflows this year. As of MAY, according to this joint statement, around 40% of US companies are relocating some portion of their supply chains away from mainland. This was in May. Since May, we have seen even more tariffs imposed, why WOULD companies want to stay when exporting to the US is a lot more expensive now?
Point 10: Ignoring ALL of the points above, we are in a global synchronized slowdown, with many emerging market central banks cutting rates - by the most in a decade. Investors want safety, and safe-haven denominated assets are where we have seen a lot of flocking into recently. Things that can be considered safe-havens have good liquidity, a relatively stable economy, and a predictable political environment.
Would love to hear opposing thoughts if you think China is a good buy. I am not against China, nor any other country for that matter, but I am against losing money (yes, wrong sub etc.), and I can not rationalize why anyone would be putting in a bid.
TL;DR: the bubble is right in front of your face, impending doom ahead, short everything, fuck /investing.
Edit, since you 'tards keep asking me how to trade this, there are a few trades that come to mind:
*not investment advice*
submitted by ComicalEconomical to wallstreetbets [link] [comments]

on the fakeness of the internet

funny to see that subject pop up again. it was what drove me insane enough to find this sub in the first place.
at any rate, the problem is not the bots. I thought it was, but those are just part of the parasitic ecosystem.
but to get that, first we need to take a few steps back on web history, ad serving, UX, tracking technology and media advertising.
too lazy to gather links, but you know, do your googlin'.
I assume that most of you are fairly web literate here, but I'll try to go down into the bare bones as much as possible for those who aren't.
so let's start with a basic question - what is a web visitor anyway?
from the standpoint of a normal person, that would be a person browsing a given website or piece of content. from the standpoint of technology however all you know is that some device has downloaded content from your server using the http protocol. thanks to the wonderful technology of web browsers, you can plant browser cookies on a visitor - stuff that's used to remember if they logged in, what their preferences are, stuff that your service can read from the device. it also serves usually very basic telemetry like last visit time, session time, and so on.
this, over time has evolved in what we call browser fingerprinting, a convoluted bunch of technology that allows websites and web services to uniquely identify you.
it still doesn't know if you're a human or not, but from the standpoint of the web technology, you're a visitor.
now back in ye old days of the web, when the first banner ads were springing up, these were important questions. most consumers were still to be reached on traditional media channels, and ad spend would have to be justified somehow on the risky ventures of online business. so beyond traditional polls that would infer the value of visitors, websites would start tracking number of visitors, time on page and so on. these were used to milk the advertising cow so to speak, and it gave in to some funny developments like the creation of the popup ad - if I recon correctly on geocities, where they would just but the ads everywhere until some big auto company noticed that they're appearing on porn sites. so - put the ad in the popup, and you can claim it's not in the context of porn!
around this point in time the online ad business is still pretty low tech. you actually have to call a physical human being, they send you ppts and pdfs, you send back image files and excel sheets, you wire money, the ads run, and so on. this is called direct sales, and it's tracked again by counting a bunch of visitors, and telling you how much impressions and clicks your marvelous creatives and ad budget generated.
now enter google - or more precisely, a technology firm called doubleclick that was to be acquired by google. they developed a tool for automatic ad serving, later to be called programmatic advertising, that keeps the pesky sales dude out of the loop and achieves reasonable amounts of scale for a more hefty price - after all, if the sales are automated, you get a bidding war for attention between different advertisers, and you're paying for clicks.
so you can see how this was a strategic move for google - they already had the most valuable data available in this situation. they were seeing in real time what people were searching for, and using the programmatic ad serving system, you could effectively bid not just for general attention - but for attention with an intent to buy.
...and the way that google got this data is because they indexed the web, using bots. at least GoogleBot would identify itself as a site visitor, but in the meantime they developed a service for websites to comprehensively track their own visitors and where they were coming from and what they were doing on your website. incidentally, you could also put on google's ads on your webpage to earn quite a bit of money, as content relevant ads would be shown through the doubleclick system.
this kicked off two things:
one, the ability to classify your website visitors into different clusters and segments allowed businesses to start tailoring the appearance of the website or service to fit that specific audience segment, starting off the great fracture - segmentation of the web (in the sense that two people viewing the same website at the same time were not seeing the same thing)
two, it created a very strong financial incentive for people to trick google into thinking they were having actual human visitors that would click on ads, when in fact they were bots. in an even funnier twist, some of them were from browser hijackers, commonly known as malware at the time, which google cross-financed. look up download valley and crossrider.
at the cross section of the above two, you had one interesting twist: websites that would appear differently to the security bots or the compliance officers of Google as they would to fake visitors or malware jacked human beings. the former would get a benign looking website, while the latter would get bombarded with auto clicking ads.
this kicked off the billion dollar arms race called online advertising fraud.
I'm not here to shed a tear for big money corps bleeding money. the real fallout lay somewhere else, but for that you have to understand that you never really saw the real internet, you only saw your corner and the one that was personalized for you.
but if you ever had the pleasure of watching daytime TVs or off channels and witnessing the ads, you could kind of infer what kind of audience must be watching these shows generally. from quite clear rip offs to magic number lotteries and television fortune telling, these sorts of programming was aimed at the most gullible, bought for pennies, where the smallest audience portion had to be converted into a money making operation.
...and with audience segmentation and data gathering, that was now possible at unprecedented scale, automatically. so big was the scale in fact, that it gave birth to an entire new beast of an industry called affiliate marketing, where instead of a regular payroll, you'd get a cut of the sale should you figure out an angle on where to push whatever fucking bullshit the vendors were offering to whoever the fuck would be dumb enough to click on an ad and buy. (the funniest story I recall was someone pulling five figures a month because he figured out that if you buy ads on anime-hentai pages and sell PUA shit courses and e-books you'd make a killing)
at any rate, affiliate marketing brought with it the killer landing page, the thing that's supposed to hammer the nail in the coffin once you get through the banner ad. the earliest form of deceptiveness in memory comes from various pirate sites, that had fake download buttons as banner ads and virus alerts as the landing pages. but then at some point, some schmuck realized that for certain type of products, like diet pills or forex trading or whatever, the best lander is in fact a fake news page that comes packed with comments and all. that would convert like crazy, because it had the appearance of social proof.
until at least the lawsuits came raining down, and these sorts of landing pages and campaigns for being banned left right and centre on all platforms. which just launched a new arms race as the campaigns would be disguised for the bots doing the checkups, and aged facebook profiles would start selling for like 5K USD - these people were making 30-40k a day, they could afford to spend that much to continue running the shop.
speaking of facebook - it came just about the right time for the shit to brew max total. first they were unprecedented in the amount of data they were getting off of their users, and they came just in time to catch the full swing of what we call the 'responsive web' - that no user at the same time would see the same thing on their page, it was all allocated through an intricate web of recommendations, running real time, based on previously gathered and forecast behavioral data.
it also ran on one simple premise: take over the starting page position from google for most people, then they do not have to justify, ever, any ad spend that takes place on their platform, as long as it performs. furthermore, it was completely lacking any revenue share sort of scheme (save for the short period of facebook gaming, see Zynga), thus there was no incentive for the amount of bot traffic that the previous internet era had bred. instead, it came with an entirely different one - bots that would offer social proof in the way of shares and likes, but would not directly risk the business model, thus giving no incentive for facebook to fight them. (note that google didn't do much jack shit either besides indiscriminately penalizing websites it deemed suspicious when they reached critical payout thresholds)
the rest of the story you kind of sort of know. how the obama campaign was brilliant in using the new social media to inspire hope and blah blah blah, kicking the door open for big money politics who could hire the best snake oil salesmen in the market, who had the data and as you can see from the above, had the ethical standards of a shoe. at around 2014-2015 the press (the mainstream media) started to raise question about the duopoly, the buzzword of filter bubbles started appearing, not entirely unrelated to the fact that facebook by this time cannibalized their traffic with a fucking embedded share / like button and started charging money for them to reach their own audience. after 2016 the cries of fake news were everywhere, because there was no online space left which everyone was viewing the same way, and you had no way to verify what the person next to you was looking at.
since then, we've all become grandpa yelling at the television set, with nobody around us seeing what we're seeing on the screen, so we're being accused as bots and looking for bots under the carpet.
but it's been a long way coming, and the bots are honestly the least of our worries. trust me, I went bankrupt over that one. truth or fake doesn't even begin to describe the magnitude of the problem: more like we entered the phase where every word, event or picture is defined by who ever the fuck wins the auction over it, as the marketers of human attention grind the gears of the money mill without even understanding how fast they're digging towards hell.
don't believe me? look around the marketing and advertising related subs these days. the priests are eating the indulgences, and we're only now entering the period of deep fakes, good algo generated audio and good enough NLP. and in the meantime, the shadowrunners running up between two corp headquarter-highrises are skinning your belief systems.
so the best you can do is really, not litter the remnants of cyberspace which are not being mined, astroturfed or being pulled apart by the algos. no human connections on a nuclear trash heap mate.
submitted by gergo_v to sorceryofthespectacle [link] [comments]

Noob Safe Haven Thread | Oct 21-27 2019

Post any options questions you wanted to ask, but were afraid to ask. A weekly thread in which questions will be received with equanimity. There are no stupid questions, only dumb answers.   Fire away. This is a weekly rotation with past threads linked below. This project succeeds thanks to people thoughtfully sharing their knowledge and experiences (YOU are invited to respond to questions posted here.)
Perhaps you're looking for an item in the frequent answers list below.
For a useful response about a particular option trade, disclose position details, so that responders can assist. Vague inquires receive vague responses. Tell us: TICKER -- Put or Call -- strike price (for each leg, on spreads) -- expiration date -- cost of option entry -- date of option entry -- underlying stock price at entry -- current option (spread) market value -- current underlying stock price -- your rationale for entering the position.   .
Key informational links: • Glossary • List of Recommended Books • Introduction to Options (The Options Playbook) • The complete side-bar informational links, for mobile app users.

Links to the most frequent answers

I just made (or lost) $____. Should I close the trade? Yes, close the trade, because you had no plan for an exit to limit your risk. Your trade is a prediction: a plan directs action upon an (in)validated prediction. Take the gain (or loss). End the risk of losing the gain (or increasing the loss). Plan the exit before the start of each trade, for both a gain, and maximum loss. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture)
Why did my options lose value, when the stock price went in a favorable direction? • Options extrinsic and intrinsic value, an introduction (Redtexture)
Getting started in options • Calls and puts, long and short, an introduction (Redtexture) • Exercise & Assignment - A Guide (ScottishTrader) • Some useful educational links • Some introductory trading guidance, with educational links • Options Expiration & Assignment (Option Alpha) • Expiration time and date (Investopedia)
Common mistakes and useful advice for new options traders • Five mistakes to avoid when trading options (Options Playbook) • Top 10 Mistakes Beginner Option Traders Make (Ally Bank) • One year into options trading: lessons learned (whitethunder9) • Here's some cold hard words from a professional trader (magik_moose) • Thoughts after trading for 7 Years (invcht2) • Avoiding Stupidity is Easier than Seeking Brilliance (Farnum Street Blog) • 20 Habits of Highly Successful Traders (Viper Report) (40 minutes) • There's a bull market somewhere (Jason Leavitt) (3 minutes)
Trade planning, risk reduction and trade size, etc. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture) • Trade Checklists and Guides (Option Alpha) • An illustration of planning on trades failing. (John Carter) (at 90 seconds) • Trade Simulator Tool (Radioactive Trading) • Risk of Ruin (Better System Trader)
Minimizing Bid-Ask Spreads (high-volume options are best) • Fishing for a price: price discovery with (wide) bid-ask spreads (Redtexture) • List of option activity by underlying (Market Chameleon) • List of option activity by underlying (Barchart) • Open Interest by ticker (optinistics)
Closing out a trade • Most options positions are closed before expiration (Options Playbook) • When to Exit Guide (Option Alpha) • Risk to reward ratios change over the life of a position: a reason for early exit (Redtexture)
Options Greeks and Option Chains • An Introduction to Options Greeks (Options Playbook) • Options Greeks (Epsilon Options) • Option Greeks (Chris Butler - Project Option) • A selected list of option chain & option data websites • See also the wiki FAQ
Selected Trade Positions & Management • The Wheel Strategy (ScottishTrader) • Rolling Short (Credit) Spreads (Options Playbook) • Rolling Short (Credit) Spreads (Redtexture) • Long Call vs. Call Spread Options Strategy Comparison (Chris Butler - Project Option) (30 Minutes) • Take the loss (here's why) (Clay Trader) (15 minutes) • The diagonal calendar spread and "poor man's covered call" (Redtexture) • Creative Ways to Avoid The Pattern Day Trader Rule (Sean McLaughlin) • See also the wiki FAQ
Implied Volatility, IV Rank, and IV Percentile (of days) • See the wiki FAQ
Miscellaneous: Economic Calendars, International Brokers, RobinHood, Pattern Day Trader, CBOE Exchange Rules, Contract Specifications, TDA Margin Handbook, EU Regulations on US ETFs, US Taxes and Options • See the wiki FAQ for most of this material • Selected calendars of economic reports and events • An incomplete list of international brokers dealing in US options markets (Redtexture)
Following week's Noob thread: Oct 21-27 2019
Previous weeks' Noob threads:
Oct 14-20 2019 Oct 7-13 2019 Sept 30 - Oct 6 2019
Sept 23-29 2019 Sept 16-22 2019 Sept 09-15 2019 Sept 02-09 2019 Aug 26 - Sept 02 2019
Complete NOOB archive, 2018, and 2019
submitted by redtexture to options [link] [comments]

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