Download MT4 & MT5 Forex Indicators and EAs - AtoZMarkets

Crypto & Forex Leads Database For Sale

Hello,
My name is Max and I work at Finnetrix, a Lead Generation Brand.
We sell databases of forex and crypto clients. Sale of cold and fresh bases.
There are fresh bases that have recently appeared. Databases of all language groups!
Please feel free to contact me here or on skype: [[email protected]](mailto:[email protected])
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submitted by ViralMedia007 to FREECoursesEveryday [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focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and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]

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submitted by ViralMedia007 to FREECoursesEveryday [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]

UNIFICATION | $FUND | The Game Changer | The next big ONE.

https://unification.com/
Header:
You can visit and check my profile how much those early birds that read my post gained in my previous calls. There are others who called it first but I re-posted it for project awareness because they are still in low mcap before.
$xgm x5 $kai x4 $ring x2 $2key x3
Marketcap: 4.3 million
NO ICO NO PRIVATE SALES
IEO price: $0.06
https://support.probit.com/hc/en-us/articles/360031772931-Unification-UND-will-launch-IEO-with-ProBit-Exchange
Current price: $0.045
A little bit history;
Unification or $FUND started as $UND wherein they burned the 88% of their total supply (1billion) and undergo mainnet this past May 14th, swapped $UND to $FUND at 1:1 ratio and considered $UND as a testnet after swapping and, $FUND as their mainnet.
https://medium.com/unificationfoundation/the-unification-new-genesis-event-88-of-und-supply-destroyed-37fa56484396?source=collection_home---4------7-----------------------
Introduction:
Unification is a hybrid public/private blockchain that connects interoperating private WRKchains to a public Mainchain. Any independent entity can deploy useful scaled solution, via WRKchains and exchange data in closed environments. WRKchains can support any DApp/smart contract and may have their own native coin (or not), all while maintaining speed and scalability.
Technology:
Beacon - Beacons are the best choice for singularly maintained centralized databases that require an element of trust added
WrkChains - WRKChains are a Distributed Ledger Technology designed specifically for real-world enterprise and consumer adoption
TokenForge - TokenForge is Unification’s WRKChain infrastructure that allows for a consortium marketplace based on tokenization
My opinion:
For me, this token is such a vast industry. Unification created a solution for enterprises wherein if blockchain will be used in enterprise data operations, it will clogged the network because of heavy loads. And here they are, crafted the WkrChains, it is the fucking perfect solution that world needs. If I compare Neyma to Sergey, they are almost the same, who built the perfect blockchain/token to maximize the usability and scalability of blockchain. Also, Neyma the CEO of $FUND has connections to GOOGLE and RIPPLE.
Imagine, private companies, enterprises and Governments will start using WrkChains. As time passess by, $FUND will eventually grow higher and higher and higher.
They already have a working WrkChain named as "FinChains", it is a decentralized price oracle developed by Yellow, it is estimated to consume more than 500k to 1million $FUND a year.
Imagine, when the adoption phase begin, there are a lot of $FUNDS will be used in utility. I don't care what you say, but for me this project is belong to top 50cmc, for short 100m mc, x37 from here. Worst case is top 100cmc at 50m mc, x18 from here.
Don't missed out on this one. I highly suggest it to add it on your portfolio. If you missed out on LINK, NEO, UBT ico days. Here's your chance.
Tokenomics;
Explorer: https://explorer.unification.io/
Circulating supply : 93,851,203
Total supply : 120,000,000
Staking: YES
There are 49 million tokens currently at perma stake by the company to secure the network at 51% attack. This will be locked forever for the security of the network. This is equivalent to 1/3 of total supply.
Also, 10m $FUND will be minted each year that will bring the total supply at maximum of 210 million by the year 2029. But it will be locked and will only be used to sell for enterprises for utility usage and to pay for network tax (block rewards) it means, the more WrkChains will be deployed, there will be "DEFLATION" because it will be used by enterprises etc. If those 10million minted $FUND each year is not sufficient for enterprises, they have to MARKET BUY the $FUND tokens.
Good tokenomics tho.
Main Goal:
To deploy 100 Wrkchains this 2020
Partners:
Travala.com
INLAGS (Latin American Institute of Health) https://www.inlags.com/
BidiPass (https://bidipass.org/)
Alpha Chain (https://alphachain.com/)
Yellow (https://www.yellow.com/)
Beach Head (https://www.beachhead.com/)
Binance Info (https://info.binance.com/)
Deployment Partners:
Amazon Web Services
Google Cloud Platform
Microsoft Azure
Exchanges:
Probit (suggested exchange, NO KYC)
BitForex (suggested exchange, but low liquidity)
Binance Dex (Not a mainnet, needed to swap)
Digifinex
Bidesk (Not a mainnet, needed to swap)
Useful links:
1st enterprise to adopt WrkChains https://explorer.unification.io/transactions/8F0B166542C8E95ABCFFE35D8587E665149F65457AF5A41742010CE18143DCA4
An enterprise purchase of $FUND yesterday worth $21,000 for utility usage.
https://explorer.unification.io/transactions/F7A79321387AF875570E6F97BC7E909D092C9870B19E94AFCBD84ED5D7EDC268
Big Boss Capital as a Unification Validator https://endofthechain.com/big-boss-capital-is-live/amp/?__twitter_impression=true
Generation Crypto AMA Recap http://gcrypto.media/unification-ama-recap/
WrkChains detailed explanation https://www.youtube.com/watch?v=4hJmV5vdG2o&feature=emb_title
The Gem Hunters rated $FUND as Emerald Grade 3 https://www.thegemhunters.net/reviews
A superb review of $FUND by Blockfyre, Rated $FUND a score of B7. https://blockfyre.com/unification-fund/
tehMoonwalkeR added $FUND to his list. https://twitter.com/tehMoonwalkestatus/1265281813603250179?s=19
An interesting thread by other user https://www.reddit.com/CryptoMoonShots/comments/gn0j9v/the_birth_of_fund_moonshots_part_2/?utm_medium=android_app&utm_source=share
Telegram https://t.me/unificationfoundation
Telegram Ann: https://t.me/UnificationOfficial
Medium: https://medium.com/unificationfoundation
Twitter https://twitter.com/UnificationUND?s=09
Coingecko https://www.coingecko.com/en/coins/unification
Conclusion:
You can apply the law of supply and demand in this token. Wherein scarcity will happen and will boost the token's price a lot and also consider the 49m permanent stake which is 1/3 of the total supply. Which means only 71 million are in the circulation. If this will be listed to another 5 more exchanges, the demand will increase which will give a massive boost to the price. Plus, add those incoming WrkChains deployment which will use about an estimation of 500k to 1million $FUND per year for utility usage. Their main goal this 2020 is to deploy 100 WrkChains. Imagine the scarcity. It will be above the rest. They worked hard 2 years for this perfect solution. Silently working and here they are, going to make a name in the industry.
Try looking out for the flaws of this project. If you have any, kindly comment it here.
Post Scriptum:
Enjoy bagging this GEM as early as you can before it explode in corporations, enterprises and Governments and exchanges. This is my Ace card in whole crypto.
FUD and bash is accepted. If you're saying 4m mcap is too high. No it's not. It's still in it's infancy phase. Also screencap this, next year it will be a happy memory that you read this post and you will thank me in the future.
submitted by MasteRalph to CryptoMoonShots [link] [comments]

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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

WikiFX: the murky business and the murkier methods

WikiFX: the murky business and the murkier methods
https://preview.redd.it/1rf74ljv34l51.png?width=960&format=png&auto=webp&s=566235871ce22dd3078f0532dfb672bff6eb0707
The irony of financial markets is that this business that officially has got as much regulation as arms trafficking, has also got the same problem –- numerous illegal entities that evolve around the niche.
Scam brokers, funds recovery services that rob the robbed traders, HYIPs, “learn how to make millions overnight” trading courses and a number of other schemes all tend to exploit the weak point of human nature – the belief that there is the magic device with the “MORE MONEY” button out there, that someone can sell you.

A thief shouting “Thief!”

Considering the above there is a high demand in society for truthful and unbiased information about the market players. WikiFX claims to be the provider of such honest information about brokers but in fact, makes money by blackmailing brokers and promoting any company that offers to pay enough in their rankings.
WikiFX is a classic illustration of a thief shouting “Get the thief!” louder than anybody else in the crowd. The strategy works unfortunately and traders tend to trust WikiFx broker’s ratings without questioning what these ratings are based on and who sponsors this global brokers’ database.

Paving the road with some good intentions

Even the most horrible crimes against humanity were done under the cover of best intentions. Starting with the first crusades and ending with the holocaust. There are always some sound arguments, protected people and reliable methods.
Ask any trader whether each forex broker must be regulated by a third party? The answer will be “yes” with a near 100% probability and this answer is totally correct. Know-your-customer procedures and some unbiased third-party control are essential for maintaining the overall transparency of any business in a sphere of finance. This is the argument that WikiFX starts with when promoting its service and there is absolutely no point to argue. Starting with an indisputable truth is a good strategy to win the debate.
“The long-term presence on the market adds credibility”, – says WikiFX, and hears “yes” again.
“Don’t you agree that the longer the company is in the business, the better?”. “Sure”, – the trader agrees one more time.
The mission is completed. This is when the broker ranker can add any other criteria to their appraisal methods. Traders will tend to trust the service because they’ve agreed upon the most important criteria. The rest are minor details.
But what if the rest of the appraisal methods are not just minor issues? What if these details can be the means to manipulate the facts as much as they want to?

Can WikiFX appraisal criteria be trusted?

If we take a look at any broker’s WikiFX rating, we can see that the criteria of appraisal are the following:
  • The year of registration
  • Regulations
  • Market Making license
  • Software license
For example, this is what the top-rated broker’s summary looks like at WikiFX:
WikiFX Forex com example
https://preview.redd.it/t4ugtbt344l51.png?width=625&format=png&auto=webp&s=95fddf8434faf8938d1a3f18bbd5f1da2ceb47e4
Looks good. Really. Regardless of the attitude to this particular brokerage, the work seems to be done fine. All the regulators are listed below, the information on the used software, licensing, and years of operation is included.
But what if we take some other random brokerage with one of the lowest rankings at WikiFX?
NinjaTraderBrokerage WIkiFX Ranking
https://preview.redd.it/pgyqp0u644l51.png?width=631&format=png&auto=webp&s=eb268faac83608a494c31a39eb1621f7132e3520
This is where the truth reveals itself. Once again, regardless of the attitude to this particular brokerage this is really easy to find out what they do, what licenses they’ve got and what kind of software they use.
Suspicious clone? Seriously? If WikiFX staff cared enough to do any investigation prior to stamping that “Suspicious” mark on the brokerage, they would have seen that both domains, nijatrader com and ninjatraderbrokerage com belong to the same entity.
NinyaTrader whois data
https://preview.redd.it/2097lkw944l51.png?width=563&format=png&auto=webp&s=079cc4248b825a3cd941c6b691a67bb9769f4f7f
If they cared enough to collect information on the brokerage from at least one reliable source, like Investopedia or any other similarly known database, they would also have found out that the company not only provides the brokerage service, but also is known for its trading platform with advanced technical analysis tools. But the only trading software that WikiFX considers reliable seems to be MT4/MT5. They simply ignore the fact that trading does not evolve around MetaTrader products, no matter how good and popular they are. WikiFX lowers the score of any brokerage with custom-developed software. We can clearly see this with the above example.
Other criteria that WikiFX is proud to use for the broker’s appraisal are regulations. Using the same example let’s see how well they do the appraisal in this field. As you can see above, WikiFX used the “Suspicious Regulatory License” stamp for NinjaTrader Brokerage.
And here is what The National Futures Association, that NinjaTrader is registered with as a futures broker has on its record:
NFA regulation of NTB proof that WikiFX did not consider to be trustworthy

https://preview.redd.it/di8fwkdd44l51.png?width=629&format=png&auto=webp&s=2de618d5df26bd8fcca99c51a6030f4bdfa7f776
We can’t expect every trader to know that any futures broker that wants to operate on the US market must be a member of NFA. This is the requirement of the Commodity Futures Trading Commission regarding the futures broker’s operations. But this is totally unacceptable for a broker ranking website, which WikiFX claims to be, to mark NFA-registered futures brokerage as non-reliable.
By the way, did you notice on the above screenshot that NTB has obtained the NFA license in 2004? Yet, this does not prevent WikiFX from claiming that the brokerage has only been providing its services for 1-2 years only, instead of the factual 16 years of operations.
We can long discuss the reasons that lie behind such selectivity of WikiFX but this random example clearly shows that any brokerage that provides access to non-forex derivatives trading or dares to suggest custom-developed software to its traders is in danger of receiving a negative review at WikiFX regardless of the factual reliability and regulations.

What lies beneath WikiFX selectivity?

WikiFX claims to have a team of professionals that are all involved in objective appraisal of broker’s services, licenses and used software. The methods used by these professionals remain unrevealed and as we see from the above comparison two similarly reliable brokerages can get any score from 1.0 and up to 10.0 at WikiFX, no matter what regulations they’ve got, for how long they’ve been in the business and what kind of software they use.
This is difficult to say what lies behind such selectivity with 100% confidence. The first thing that comes to mind is that WikiFX might be affiliated with some brokers. The hypothesis gets even more realistic if we try to understand who sponsors WikiFX.
There are no transparent built-in ads neither on the web-version of the website nor in its applications. There are no paid subscriptions for access to the database. This means that users sponsor the service with neither their attention to ads nor directly. Being the non-charity and non-governmental organization WikiFX can’t be sponsored with donations or a government. The only option that we have left is that brokers sponsor this ranking system directly, which automatically makes the whole system non-reliable and highly biased.
The only transparent method that we know WikiFX uses to collect money is sponsorship fees they collect from their offline events participants. Let’s have a look at the exhibitors of the recent WikiFX Expo in Thailand.
WikiFX Expo Exhibitors

  • TLC is a non-regulated investment platform that was founded in 2019
  • Samtrade FX is not regulated by any of the agencies that WikiFX itself lists as reliable
  • Forex4you is not regulated by any of the agencies that WikiFX itself lists as reliable
  • B2 Broker is a non-regulated broker
  • XDL FX is a non-regulated broker
  • VAT FX is a non-regulated broker
    Six out of sixteen WikiFX recent expo exhibitors do not have proper legal status according to the “standards” of WikiFX itself. This fact does not prevent them from promoting the services of these companies at their offline events. This conspicuous fact tells a lot about the attitude of WikiFX to common traders looking for reliable partners. Reputation is nothing but a sale item for this brokers’ ranking system.

Murky & Murkier

So far we’ve only discussed the facts that anyone can check himself using free tools and sources.
It was not that difficult to discover that WikiFX uses non-transparent standards for brokers’ appraisal. It ignores the specifics of some brokerages lowering their scores due to non-standard derivatives they offer to trade or custom trading software. It also promotes non-regulated and non-licensed brokerages, which is 100% against the declared WikiFX values and mission.
The rumors are that this company was also noticed blackmailing brokers with the purpose of making them pay for better reviews at WikiFX. There are also some signs that indicate suspicious promotion of WikiFX platform through social media and Quora. Some of the WikiFX positive reviews also look highly suspicious. All of the above is a matter of further investigation.
Nevertheless, thousands of users keep relying on the information provided by this scam ranking system. It may even look like all these users are satisfied. WikiFX has got 4.5 starts at Google Play, which sounds good enough. However, positive WikiFX reviews use similar semantics and are also highly suspicious. Despite the high average grade, Google Play finds the following messages to be most relevant and brings them to the top of WikiFX reviews:
Google Play most relevant WikiFX reviews

https://preview.redd.it/kftutvcl44l51.png?width=532&format=png&auto=webp&s=1ccb74ee156388285a2fab711dd604945c04377c

You’ve got the facts now and it’s time to make your own conclusions.

submitted by WorriedXVanilla to u/WorriedXVanilla [link] [comments]

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Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

Cases Displaying the Recent Climate of Chinese Economy

This is just a plain list that records the notable cases about China's recent economic woes.
China is rumoured to delay indefinitely its US-China phase one trade deal (fact sheet PDF) implementation that includes the increase of China's purchasing American products & services by at least $200 billion over the next two years, which is almost twice the size of what China purchased before the trade war began.
Okay.
And according to Tianyancha (天眼查), Chinese commercial database that compiles public records; more than 460,000 companies in China closed permanently in Q1 2020, with more than half of them having operated for under three years. [LINK]
Of course, this is mainly caused by the COVID-19 pandemic.
However, what's interesting to me is the following part: "more than half of them having operated for under three years." What happened three years ago?
Once you figure out how big the trade war has played in China's recent economic woes (the article samples listed below may help),
the real question is whose investment or money in China was getting destroyed especially for the last three years.
Other than the article samples listed below, two other data elements that would need to be assessed are: 1) financial loss from the US' blocking Huawei mobile OS & 5G and 2) financial loss from BRI projects.
With CCP, who has been working with Huawei as a team for a long time? [1] [2] [3]
........................................
Tale of How Shanghai clique and Prominent Globalists Got Together.
........................................
Sep 09, 2015 -- Fortune Reports: The real ticking time bomb in China’s economy [LINK]
"[China's] Local governments have borrowed this money with the blessing of China’s central government. In fact, China’s much-lauded $570 billion stimulus package in 2008, which dwarfed the American response to its crisis relative to each country’s respective GDP was funded mostly by local government debt. That program helped power China’s economic growth since 2008, but the dividends are now drying up. As Chinese growth slows, the central government is worried about the local governments’ abilities to finance the debt.
China could continue to kick the can down the road by bailing out its insolvent local governments. But this would run counter to President Xi Jinping’s efforts to curb the power of local officials and shift China’s growth model from investment led to consumption led. Last week, Beijing placed a $16 trillion yuan cap on Chinese government debt, up $600 million yuan from a cap it set last year. And this is after the government has been swapping debt with local governments, buying up real estate-financed local debt in place of government debt officially backed by the Chinese government."
Aug 24, 2016 -- SCMP: Wanted posters for fugitive debtors and runaway bosses symptoms of China’s economic woes [LINK]
"In the first seven months of this year, there were 38 instances of default by 18 bond issuers on the mainland, six of them SOEs. The defaults involved 24.8 billion yuan, more than double the total for the past two years combined. And while only a third of issuers in default this year were SOEs, they accounted for about two-thirds of the amount in default."
Jul 12, 2017 -- The Nikkei Reports: China government auditor flags dodgy books at key state companies [LINK]
"China's National Audit Office) delved into financial statements from 20 of the 101 state enterprises directly controlled by the central government, focusing on filings from the year 2015. The records are notoriously difficult for outsiders to access, as many of the companies are core unlisted units of major state-backed business groups.
Improprieties were unearthed at 18 of the 20, including 200.1 billion yuan ($29.4 billion) in revenue inflation over the last several years and roughly 20.3 billion yuan in improperly booked profit. Culprits included China National Petroleum, one of the country's largest oil producers; China National Chemical, or ChemChina, which recently acquired Switzerland's Syngenta, the world's top maker of agrochemicals; and China Baowu Steel Group."
........................................
2018
........................................
Jul 16: China’s $42-Trillion Debt Bubble Looms Larger than Trade War [LINK]
Oct 10: Financial woes build for HNA Group, forcing sale of subsidiaries and property [LINK]
........................................
2019
........................................
Jan 25: Sinopec Says It Lost $688 Million on ‘Misjudged’ Oil Prices [LINK]
Jun 11: China’s debt disease might wreck its uncrashable housing market [LINK]
Jul 18: More than 50 companies reportedly pull production out of China due to trade war [LINK]
Jul 19: China Minsheng Investment says it cannot repay the principal and interest on US$500 million of bonds as its debt woe deteriorates [LINK]
Sep 06: China Injects $126 Billion Into Its Slowing Economy [LINK]
Oct 06: China's foreign exchange reserves fallen to mere $3.1 trillion USD [LINK]
Nov 06: China Embraces Bankruptcy, U.S.-Style, to Cushion a Slowing Economy [LINK]
Nov 25: China Faces Biggest State Firm Offshore Debt Failure in 20 Years [LINK]
Nov 28: Chinese navy set to build fourth aircraft carrier, but plans for a more advanced ship are put on hold [LINK]
Dec 02: Tech Firm Peking University Founder Welches on USD 284 Million SCP, Has USD 43 Billion Debt [LINK]
Dec 02: Sinopec Group Slims Down Amid Push to Reinvigorate State Firms [LINK]
Dec 13: Fact Sheet: Agreement Between The United States Of America And The People’s Republic Of China Text [PDF LINK]
Dec 19: Money has been leaving China at a record rate. Beijing is battling to stem the tide [LINK]
Money was leaving the country at a record clip earlier this year through unauthorized channels, according to analysts. That's bad news for China, which needs to keep financial reserves high to maintain confidence in its markets.
........................................
2020
........................................
Feb 03: Coronavirus May Delay Hard-Fought U.S. Trade Wins in China [LINK]
Feb 16: China's Evergrande to offer 25% discount for all properties on sale in Feb, March [LINK]
Apr 02: Luckin Coffee stock tanks 80% after discovery that COO fabricated about $310 million in sales [LINK]
Apr 08: Chinese e-learning king TAL Education admits inflated sales [LINK]
Chinese law prohibits Chinese companies from submitting to normal U.S. auditing standards, and four Senators have already introduced a bill requiring them to do so. Should Trump be reelected ... either Beijing will relent on auditing standards or Chinese firms may start to face U.S. delisting threat.
Jul 14: Chinese $2.8bn memory chip project goes bust [LINK]
A Chinese company that launched a $2.8 billion government-backed semiconductor project four years ago is going bankrupt after it failed to attract investors, even as China tries to become self-sufficient in computer chips.
Jul 16: TSMC plans to halt chip supplies to Huawei in 2 months [LINK]
Jul 16: The $52 Trillion Bubble: China Grapples With Epic Property Boom [LINK]
Aug 26: U.S. Penalizes 24 Chinese Companies Over Role in South China Sea [LINK]
Aug 31: China’s Economy Shrinks, Ending a Nearly Half-Century of Growth [LINK]
Sep 09: Hongxin Semiconductor, promised China's first 7 nm chips, has gone bust [LINK]
A government-backed semiconductor manufacturing project based in the central Chinese city of Wuhan has gone belly-up, with key operator HSMC mired in debt. The local government said the project amounts to nearly RMB 128 billion (around $18.7 billion) in investment.
Sep 22: Huawei chairman urges U.S. to reconsider 'attack' on global supply chain [LINK]
Oct 13: EU imposes 48% tariffs on aluminium products from China [LINK]
Oct 18: China's economic growth drops to the lowest level since 1992 [LINK]
Oct 27: China’s Failing Small Banks Are Becoming a Big Problem [LINK]
The reality is that Beijing doesn’t have the wherewithal to guarantee the future of hundreds of smaller, provincial financial institutions that together sit on 73.4 trillion ($11 trillion USD) of yuan of total liabilities.

------------------------
☞ Go Back to the Short Story.
----
submitted by vanillabluesea to conspiracy [link] [comments]

MAME 0.214

MAME 0.214

With the end of September almost here, it’s time to see what goodies MAME 0.214 delivers. This month, we’ve got support for five more Nintendo Game & Watch titles (Fire, Flagman, Helmet, Judge and Vermin), four Chinese computers from the 1980s, and three Motorola CPU evaluation kits. Cassette support has been added or fixed for a number of systems, the Dragon Speech Synthesis module has been emulated, and the Dragon Sound Extension module has been fixed. Acorn Archimedes video, sound and joystick support has been greatly improved.
On the arcade side, remaining issues in Capcom CPS-3 video emulation have been resolved and CD images have been upgraded to CHD version 5, Sega versus cabinet billboard support has been added to relevant games, and long-standing issues with music tempo in Data East games have been worked around.
Of course, you can get the source and Windows binary packages from the download page.

MAMETesters Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

submitted by cuavas to emulation [link] [comments]

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