Game theory: 8 games for traders Futures

How to incorporate game theory into forex trading?

So at the moment I use Triangular moving averages on d1 charts to identify trends and then use the central bank to see if they support this with monetary policy and fiscal policy.
I just wondered how could i use game theory in forex
Thanks
submitted by mattwj10 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focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and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]

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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

Discussion: Swing trade strategy - BTC to YFI?

If you're familiar with swing trading on the stock market (or playing Mario Bros and jumping the tubes) consider the following idea:
In theory on 10/8 if you made the jump from BTC to YFI here are the key concepts for 6 months of strategic swing trades to increase your wealth:
Contributing factors:
The Neverending story "end game" we would be wise to examine:
key concepts for a discussion:
Lastly, consider space travel and planets being in alignment:
If you make an error in judgment during your swing attempts:
Q.E.D. This post has therefore demonstrated why it is in 'our best interest' to keep these cryptocurrencies out of sync: HODL is over, time to SWNG and use inertia for Interstellar planetary travel.
Thoughts? Can we all make this happen through discipline and steely Vulcan logic, or, will YFI inevitably correlate with BTC and succumb to the emotional reactions of holders?
submitted by apples_to_peaches to CryptoCurrencies [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.
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Stop-Loss and the Hunger For New Capital

Stop-Loss and the Hunger For New Capital

Stop-Loss and the Hunger For New Capital


Stop-Loss and the Hunger For New Capital


Ever wonder why when you trade your stop gets tagged? Although you put it in a spot where "There's no way price will want to reach my stop level for sure this time"
As a trader, particularly a new trader – I've always wondered why my stops were only tagged for the price of running briefly the area that I've ever so carefully researched ... hit my stop point ..... then move on in the direction of my original study and run to the point where my profit should have been taken.
Everything leaving me wondering ...... In the hell for what did this do??? Obviously this is a common issue that has plagued most traders. At least, I know that I have faced this very problem for years.

What I noticed was that there was a very distinctive pattern going on, and it was repeating itself again and again. I noticed that the traditional supply and demand theory, support and resistance zones, or double top / double bottom trading patterns that I have been told time and time again that price has always covered these regions, was not really a real thing.

The argument had been, ..... Put me into the shoes of the major investment banks vs. the home-trading fighter who was going to conquer the markets every day. If you were a large company with an infinite supply of money and you decided to bring a massive chunk of it into the game, you can't just dump the whole lot into the game and demand all your orders to be filled out at once, then take off the price in the direction you want .... no ..... That is not exactly the way it operates.All these major organizations need to do is pair orders.

And they match that order by sending the markets to areas where liquidity is high .... The stops AKA!

Let 's say you 're evaluating the markets, for example, and deciding that price wants to go higher than an old regular target as it's in a bullish uptrend at the moment. And you see price for the past day, or so, not willing to go any lower.
What looks like a bit of a demand shelf or support level where the demand is all in a nice tight clustered row that just doesn't seem to want to go down and you know for sure this time price won't go under that heavily protected area ..... only for the price to run down quickly and refuse to go up (in this case a long position).
And I started to note that these "secure zones" or places where price is certainly not going to come up / down to be simply used by these large entities as feeding grounds for harvesting liquidity and adding more positions to include them in a larger movement.

They need a lot of money to buy in and just to do so, your sell stop is great. Many traders put their stops below this tight pack range of candles a few pips / ticks / cents believing they 're secure as price obviously doesn't want to come down below them. And most traders have their positions liquidated by the hungry major capital banks to feed the whole push higher than you were originally right about.

And how can you stop this pitfall happening to you is the million-dollar question? There are a few ways to handle this and keep your hard-earned money from being ripped away from you in an moment, which you have at risk in the markets.

Stop-Hunting and the Hunger For New Capital

I found that you would do much better in your trading career if you look at these areas (in the above example a long position) as a chance rather than a safe zone to put your stop. What I mean by that is, anticipate them coming down under those equal lows and try to get far below it instead of getting long above the area of consolidation. Yeah, that means you're going to have to go long when the competition runs against you and I know , I know, it feels really uncomfortable and wrong and goes against all you've been taught ... but believe me that this approach can give you the very best possible entries.
Imagine: getting into the day 's low and riding price action all the way up to the top of everyday scale!!! Wouldn't this be terrific?

Well, if your quantitative skills are timely and your business research tells you to go a long way, then all you need to do is wait for the perfect entry. Let the price build up and create "demand shelf" or support areas for that. Let the market shift sideways and bounce around like a pinball mocking all the other traders who were at the top of these stuff for a long time and put their stops just below them in hopes that the price would not come down and stop them. All the while playing with and holding their emotions on the cliff of –Will this be a winner, or a trade loser? So when price does the unimaginable and runs below the support area and scoops up all the traders stops you can then go long and take part in the glorious upside of being right – and of course make some money doing it.

Notice facile? Well, that is not so. It takes patience and timing and experience to catch all those eager participants who keep their stops on a silver platter for the fat and thirsty banks to suck them up, as the markets normally send price south of the border.
Stop-Loss and the Hunger For New Capital (meme)

You have to define the times of the day when the wrong move is made apparent.
Or when they make that low of the day – typically within the 1st 1 – 4 hours
of the trading day, and I don't mean either when the banks come online at 8 a.m. NY.
I mean 12 am, at the beginning of the day.
So yes you 're definitely going to have to be awake if you like watching
price do its thing and don't trust the process of buying into those down candles.
And use a limit order like me-then go to sleep and trust your overall analysis to be right and wake up to your morning with a nice little start.
But the trick is-where are you going to shop under the lows?

And where does your stop then go when you buy?

Those are all interesting questions that I should seek to answer clearly here – but alas, all markets are different.

Yet general rule of thumb as follows:

  1. You should predict that such stop-sweeps will occur in grades 5 and 10. The average is usually about 10, cents, pips, ticks or otherwise. The bigger the step down the more likely it is not a stop raid and potentially a reversal of the pattern. And you can prevent too much danger and keep the stop fairly secure.
Your stop will need to go low on the 1hr map below the next move. As a minimum, and yes, that may mean a greater risk level that you are usually prepared to take.
However if that is the case then try to turn your power back.
You don't need to make every trade worth a million dollars.
This is about continuity, when dealing, not winning the draw.
In your research you need to be sure the price will push higher as this is how the overall trend directions point it.
I am not recommending trade in these types of trades against the trend.
You need to be in full agreement with the direction of the total daily level.
And bringing it in.

Also, a great way to place the maximum risk reward for your take profit:

Attempt to position it in places above the market where short-sellers will stop.

And in a nutshell, with a bit of analysis, all the knowledge I described above can be readily found, I didn't come up with it on my own and these ideas are not unique. Yet how you adapt them to your particular trading style is up to you and relies on your interpretation of these principles for your success and/or failure. Price is fractal and would want to return to markets it has previously sold before – if you accept the basic fact you ought to be doing very well in your business career.

Eva " Forex " Canares .
Cheers and Profitable Trading to All.

About FTMO -
They fund forex traders. Just Pass their risk management rules and begin trading for their company. They'll provide you capital up to $300k USD for trading the financial markets. 70% of profits you keep and losses are covered by them. How does it work?
How to Become a Funded Forex ,Stocks or CryptoCurrency Trader?
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I am a professional Day Trader working for a Prop Fund, Hope I can help people out and answer some questions

Howdy all, I work professionally for a proprietary trading fund, and have worked for quite a few in my time, hope I can offer some insights on trading etc you guys might have.
Bonus for you guys
Here are the columns in my trading journal and various explanations where appropriate:
Trade Number – Simply is this the first trade of the year? The 10th?, The 50th? I count a trade
that you opened and closed just one trade number. For example if you buy EUUSD today and
sell it 50 pips later in the day and close out the trade, then that is just one trade for recording
purposes. I do not create a second trade number to describe the exit. Both the entry and exit are
under the same trade number.


Ticket Number – This is ticket number / order ID number that your broker gives you for the trade
on your platform.


Day of the Week – This would be simply the day of the week the trade was initiated


Financial Instrument / Currency Pair – Whatever Financial Instrument or currency pair you are
trading. If you are trading EUUSD, put EUUSD. If you are trading the EuroFX futures
contract, then put in Euro FX. If you are trading the emini S&P, then put in Emini S&P 500. If
you are trading a stock, put in the ticker symbol. Etc.


Buy/Sell or Long/Short – Did you buy or sell to open the new trade? If you bought something to
open the trade, then write in either BUY or LONG. If you sold(shorted) something to open a
trade, then write in SOLD, or SHORT. This is a personal preference. Some people like to put in
their journals as BUY/SELL. Other people like to write in Long/Short. My preference is for
writing in long/short, since that is the more professional way to say it. I like to use the lingo
where possible.


Order Type – Market or Limit – When you entered the trade was it a market order or limit order?
Some people can enter a trade using a combination of market and limit orders. If you enter a
trade for $1 million half of which was market order and the other half was limit order, then you
can write in $500,000 Market, $500,000 Limit as a bullet points.


Position Size / Units / Contracts / Shares – How big was the total trade you entered? If you
bought 1 standard lot of a currency pair, then write in $100,000 or 1 standard lot. If you bought 5
gold futures contracts, then write in 5 contracts. If you bought 1,000 shares of stock, then write
in 1,000 shares. Etc.


Entry Price – The entry price you received entering your opening position. If you entered at
multiple prices, then you can either write in all the different fills you got, or specify the average
price received.


Entry Date – Date that you entered the position. For example January 23, 2012. Or you can
write in 1/23/12

.
Entry Time – Time that you opened the position. If it is multiple positions, then you can specify
each time for each various fill, or you can specify the time range. For example if you got
$100,000 worth of EUUSD filled at 3:00 AM EST, and another $100,000 filled at 3:05 and
another $100,000 filled at 3:25, then you can write all those in, or you can specify a range of 3:00
– 3:30 AM EST.


Entry Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in
pips. If you executed a market order, how many pips did you pay in spread.


Entry Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in
dollars. If you executed a market order, how many dollars did you pay in spread.


Stop Loss Size – How big is your stop loss size? If you are trading a currency pair, then you
write in the pips. If you are trading the S&P futures contract, then write in the number of points.
If you are trading a stock, then write in how many cents or dollars your stop is away from your
entry price.


% Risk – If you were to get stopped out of the trade, how much % loss of your equity is that?
This is where you input your risk per trade expressed in % terms if you use such a position sizing
method. If you risked 0.50% of your account on the trade, then put in 0.50%


Risk in dollars – If you were to get stopped out of the trade, how much loss in dollars is that. For
example if you have a $100,000 account and you risked 1% on a trade, then write in $1,000
dollars


Potential Reward: Risk Ratio – This is a column that I only sometimes fill in. You write in what
the potential reward risk ratio of the trade is. If you are trading using a 100 pip stop and you
expect that the market can reasonably move 300 pips, then you can write in 3:1. Of course this is
an interesting column because you can look at it after the trade is finished and see how close you
were or how far removed from reality your initial projections were.


Potential Win Rate – This is another column that I only sometimes fill in. You write in what you
believe the potential win rate of this trade is. If you were to place this trade 10 times in a row,
how many times do you think you would win? I write it in as percentage terms. If you believe
the trade has a 50% chance to win, then write in 50%.


Type of Inefficiency – This is where you write in what type of inefficiency you are looking to
capture. I use the word inefficiency here. I believe it is important to think of trading setups as
inefficiencies. If you think in terms of inefficiencies, then you will think in terms of the market
being mispriced, then you will think about the reasons why the market is mispriced and why such
market expectations for example are out of alignment with reality. In this category I could write
in different types of trades such as fading the stops, different types of news trades, expecting
stops to get tripped, betting on sentiment intensifying, betting on sentiment reversing, etc. I do
not write in all the reasons why I took the trade in this column. I do that in another column. This
column is just to broadly define what type of inefficiency you are looking to capture.


Chart Time Frame – I do not use this since all my order flow based trades have nothing to do
with what chart time frame I look at. However, if you are a chartist or price action trader, then
you may want to include what chart time frame you found whatever pattern you were looking at.


Exit Price – When you exit your trade, you enter the price you received here.


Exit Date – The date you exited your trade.


Exit Time – The time you exited your trade.


Trade Duration – In hours, minutes, days or weeks. If the trade lasts less than an hour, I will
usually write in the duration in minutes. Anything in between 1 and 48 hours, I write in the hours
amount. Anything past that and I write it as days or weeks as appropriate, etc.
Pips the trade went against you before turning into a winner – If you have a trade that suffered a
draw down, but did not stop you out and eventually was a winner, then you write it how many
pips the trade went against you before it turned into a profitable trade. The reason you have this
column is to compare it to your stop loss size and see any patterns that emerge. If you notice that
a lot of your winning trades suffer a big draw down and get near your stop loss points but turn out
to be a profitable trade, then you can further refine your entry strategy to get in a better price.


Slippage on the Exit – If you get stopped out for a loss, then you write in how many pips you
suffered as slippage, if any. For example if you are long EUUSD at 1.2500 and have your stop
loss at 1.2400 and the market drops and you get filled at 1.2398, then you would write in -2 pips
slippage. In other words you lost 2 pips as slippage. This is important for a few different
reasons. Firstly, you want to see if the places you put your stop at suffer from slippage. If they
do, perhaps you can get better stop loss placement, or use it as useful information to find new
inefficiencies. Secondly, you want to see how much slippage your broker is giving you. If you
are trading the same system with different brokers, then you can record the slippage from each
one and see which has the lowest slippage so you can choose them.


Profit/Loss -You write in the profit and/or loss in pips, cents, points, etc as appropriate. If you
bought EUUSD at 1.2500 and sell it at 1.2550, you made 50 pips, so write in +50 pips. If you
bought a stock at $50 and you sell it at $60, then write in +$10. If you buy the S&P futures at
1,250 and sell them at 1,275, then write in +25 points. If you buy the GBP/USD at 1.5000 and
you sell it at 1.4900, then write in -100 pips. Etc. I color code the box background to green for
profit and red for loss.


Profit/Loss In Dollars – You write the profit and/or loss in dollars (or euros, or jpy, etc whatever
currency your account is denominated in). If you are long $100,000 of EUUSD at 1.2500 and
sell it at 1.2600, then write in +$1,000. If you are short $100,000 GBP/USD at 1.5900 and it
rises to 1.6000 and you cover, then write in -$1,000. I color code the box background to green
for profit and red for loss.


Profit/Loss as % of your account – Write in the profit and/or loss as % of your account. If a trade
made you 2% of your account, then write in +2%. If a trade lost 0.50%, then write in -0.50%. I
color code the box background to green for profit and red for loss.


Reward:Risk Ratio or R multiple: If the trade is a profit, then write in how many times your risk
did it pay off. If you risked 0.50% and you made 1.00%, then write in +2R or 2:1 or 2.0. If you
risked 0.50% and a trade only makes 0.10%, then write in +0.20R or 0.2:1 or 0.2. If a trade went
for a loss that is equal to or less than what you risked, then I do not write in anything. If the loss
is greater than the amount you risked, then I do write it in this column. For example lets say you
risk 0.50% on a stock, but overnight the market gaps and you lose 1.50% on a trade, then I would
write it in as a -3R.


What Type of trading loss if the trade lost money? – This is where I describe in very general
terms a trade if it lost money. For example, if I lost money on a trade and the reason was because
I was buying in a market that was making fresh lows, but after I bought the market kept on going
lower, then I would write in: “trying to pick a bottom.” If I tried shorting into a rising uptrend
and I take a loss, then I describe it as “trying to pick a top.” If I am buying in an uptrend and buy
on a retracement, but the market makes a deeper retracement or trend change, then I write in
“tried to buy a ret.” And so on and so forth. In very general terms I describe it. The various
ways I use are:
• Trying to pick a bottom
• Trying to pick a top
• Shorting a bottom
• Buying a top
• Shorting a ret and failed
• Wrongly predicted news
• Bought a ret and failed
• Fade a resistance level
• Buy a support level
• Tried to buy a breakout higher
• Tried to short a breakout lower
I find this category very interesting and important because when performing trade journal
analysis, you can notice trends when you have winners or losing trades. For example if I notice a
string of losing trades and I notice that all of them occur in the same market, and all of them have
as a reason: “tried to pick a bottom”, then I know I was dumb for trying to pick a bottom five
times in a row. I was fighting the macro order flow and it was dumb. Or if I notice a string of
losers and see that I tried to buy a breakout and it failed five times in a row, but notice that the
market continued to go higher after I was stopped out, then I realize that I was correct in the
move, but I just applied the wrong entry strategy. I should have bought a retracement, instead of
trying to buy a fresh breakout.


That Day’s Weaknesses (If any) – This is where I write in if there were any weaknesses or
distractions on the day I placed the trade. For example if you are dead tired and place a trade,
then write in that you were very tired. Or if you place a trade when there were five people
coming and out of your trading office or room in your house, then write that in. If you placed the
trade when the fire alarm was going off then write that in. Or if you place a trade without having
done your daily habits, then write that in. Etc. Whatever you believe was a possible weakness
that threw you off your game.


That Day’s Strengths (If any) – Here you can write in what strengths you had during the day you
placed your trade. If you had complete peace and quiet, write that in. If you completed all your
daily habits, then write that in. Etc. Whatever you believe was a possible strength during the
day.


How many Open Positions Total (including the one you just placed) – How many open trades do
you have after placing this one? If you have zero open trades and you just placed one, then the
total number of open positions would be one, so write in “1.” If you have on three open trades,
and you are placing a new current one, then the total number of open positions would be four, so
write in “4.” The reason you have this column in your trading journal is so that you can notice
trends in winning and losing streaks. Do a lot of your losing streaks happen when you have on a
lot of open positions at the same time? Do you have a winning streak when the number of open
positions is kept low? Or can you handle a lot of open positions at the same time?


Exit Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in pips.
If you executed a market order, how many pips did you pay in spread.


Exit Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in
dollars. If you executed a market order, how many dollars did you pay in spread.


Total Spread Cost (in pips) – You write in the total spread cost of the entry and exit in pips.


Total Spread Cost (in dollars) – You write in the total spread cost of the entry and exit in dollars.


Commission Cost – Here you write in the total commission cost that you incurred for getting in
and out of the trade. If you have a forex broker that is commission free and only gets
compensated through the spread, then you do not need this column.


Starting Balance – The starting account balance that you had prior to the placing of the trade


Interest/swap – If you hold forex currency pairs past the rollover, then you either get interest or
need to pay out interest depending on the rollover rates. Or if you bought a stock and got a
dividend then write that in. Or if you shorted a stock and you had to pay a dividend, then write
that in.


Ending Balance – The ending balance of your account after the trade is closed after taking into
account trade P&L, commission cost, and interest/swap.


Reasons for taking the trade – Here is where you go into much more detail about why you placed
the trade. Write out your thinking. Instead of writing a paragraph or two describing my thinking
behind the trade, I condense the reasons down into bullet points. It can be anywhere from 1-10
bullet points.


What I Learned – No matter if the trade is a win or loss, write down what you believed you
learned. Again, instead of writing out a paragraph or two, I condense it down into bullet points. it
can be anywhere from 1-10 bullet points. I do this during the day the trade closed as a profit or
loss.


What I learned after Long Term reflection, several days, weeks, or months – This is the very
interesting column. This is important because after you have a winning or losing trade, you will
not always know the true reasons why it happened. You have your immediate theories and
reasons which you include in the previous column. However, there are times when after several
days, weeks, or months, you find the true reason and proper market belief about why your trade
succeeded or failed. It can take a few days or weeks or months to reach that “aha” moment. I am
not saying that I am thinking about trades I placed ten months ago. I try to forget about them and
focus on the present moment. However, there will be trades where you have these nagging
questions about they failed or succeeded and you will only discover those reasons several days,
weeks, or months later. When you discover the reasons, you write them in this column.
submitted by Fox-The-Wise to Forex [link] [comments]

So you wanna be a proffesional trader?

Back to the trenches I guess. Some of you might remember my last post over proffesional approaches to the markets. If not I suggest you take a look on it before reading this.
https://www.reddit.com/Forex/comments/cxymyf/a_peek_into_how_financial_institutions_play_this/
I promised to discuss some stuff about macroeconomic approaches to forex, and well, with some delay here I am. Again, here I introduce the very same disclaimer. This is a professional approach, not coming from retail. Take everything with a grain of salt, and exercise proper due diligence with your approach. Sincerely hope you get something out of this post.
An inconvenient, forex truth
You've been there, struggling and suffering for a while. You have experienced the pain that the markets can unleash on you. You have left positions on the red for longer than your sanity could possible hold. You have opened positions that moved to the green, but you did not take any profits and you let that position slowly die and possibly causing huge loses. Now here you are , in October 2019, possibly as a breakeven trader, still suffering and trying. You have researched hundreds of indicators, if not thousands. You thought you have all sorted out with your RSI , stochastics and TDI. Yet you have switched between strategies more than you have changed your underpants in your whole life. Spent too many hours looking at the screen, wondering what the hell you are still missing.
And the incovenient truth is that you want the glitz and the glamour, and the caviar, but you are not willing to eat the shit. And this is the shit: How are you expecting to make any good money on a field where you dont know virtually anything about it. Nor the substance that you are trading, nor what moves it. How are you actually expecting to beat guys that breath and eat economics?. You know literally nothing about volatility and liquidity, about interbanking flows , about puts and calls, market microestructure and price delivery mechanisms both on OTC markets and CME , what is GDP , how is calculated and why is critical. CPI, NMI, GDP to debt ratios, UST, repo markets, shadow banking, carry diferentials, how and why commodities alter certain currencies. EM vs G10 currencies, pegged vs unpegged. Balances of Payments.... When you hear "greeks" you are thinking about the Iliad or Athens. You know nothing about business and credit cycles. Valuation anchors, return to the mean, standard deviations, fair values. I could go on and on and on. Does this make you uncomfortable? It should.
You have dozens of the best students that the world can produce, coming out of the London School of Economics, or from IT degrees in Harvard and MIT, all moving into freaking huge financial institutions, building complex system, doing incredible research . Funded to an extreme you can not imagine. Working in partnership with the IMF and Central Banks all aroundthe world. PhD's dedicating their lifes to such complex systems and situations....... and yet here you are, insolent and ignorant piece of s***, you that have been trying to make your "RSI" or "stochastic" work for 2 months, trying to beat this multi billion-trillionaire infrastrucure. Do you start to realize where the f*** do you stand? Do you really believe even for a freaking second that you can beat them on their game? Using RSI or Ichimoku? EAT.THIS.SHIT.
And its not that technicals are not necesary. They are. But believe me, I (and most pro's that I've ever engaged with) spent less than 1/5 of the time actually managing trades and looking at price charts. If I'm not scalping , my day starts with me reading around 12 to 15 research papers coming from the main financial institutions, glued to my Reuters terminal reading more reports, looking at polls, updating my macroeconomic models with the latest data, performing calculations related to options...... only then, with a fundamental trading idea, I will move to evaluate technicals to see if the timing is good.
I want to learn, how shall I procede?
You want to build a lasting and enjoyable relationship with the market? EAT THE SHIT, and do all that is under your control to actually be able to open The Financial Times and understand what they are talking about. It will take you years, and for the education, hundreds of dollars. But this is how it goes if you want to get real. This is career, not a hobby. This is simply the way to be consistent. EAT THE SHIT.
I compiled some resources to get you started:
ACATIS Konferenz 2016, Mr. Koo, Surviving in the Intellectually Bankrupt Monetary Policy Environment - A great video coming from Nomura, to understand the actual shitty situation in the Eurozone.
Online Courses - Look for IMF on EDX. Also, a fenomenal course on Banking and Money in Coursera.
Books -
Macroeconomics, Gregory Mankiw - Start here to graps the basic concepts
Financial Times Guide to the Financial Markets
Financial Times Guide to Banking
Applied Financial Macroeconomics and Investment Strategy: A Practitioner’s Guide to Tactical Asset Allocation
The Holy Grail of Macroeconomics: Lessons from Japan's Great Recession
The Escape from Balance Sheet Recession and the QE Trap: A Hazardous Road for the World Economy
The Other Half of Macroeconomics and the Fate of Globalization (English Edition)
The new lombard street - how the fed became the dealer of last resort
Foreign Exchange , Amy Middleton
The Role of Currency in Institutional Portfolios, Momtchil Pojarliev and Richard M. Levich
Currency Overlay: A Practical Guide, Second Edition, Hai Xin
The Handbook of Corporate Financial Risk (2nd edition)
Trade Stocks and Commodities with the Insiders: Secrets of the COT Report (Wiley Trading)
How I Made One Million Dollars Last Year Trading Commodities
Market Liquidity: Theory, Evidence, and Policy (English Edition)
Trading And Exchanges: Market Microstructure For Practitioners
The Microstructure Approach to Exchange Rates
The Creature from Jekyll Island: A Second Look at the Federal Reserve
Big Debt Crises
Payments Systems in the U.S. - Third Edition: A Guide for the Payments Professional
The Volatility Machine: Emerging Economics and the Threat of Financial Collapse (English Edition)
Stabilizing an Unstable Economy
submitted by Cryptochihuahua to Forex [link] [comments]

Just waiting.

So I’m a bit new to forex and I have not used any real money yet but I am using “trading game” to test out a theory I had and I would like opinions and criticism because maybe I’m missing something. Over a period of a month I have executed 20 or so trades that are green by identifying and a general up trend and just waiting until the trade is green, am I missing something? I see all these people saying how much money they lose is that due to the fact that they set a certain time of the trade (scalping,day trading, etc....) or is this just luck?
submitted by itsyaboifreedom to Forex [link] [comments]

Strat for 50 - 100% a Year - Common Points, Example of Setup 3 and First Weeks Results.

Strat for 50 - 100% a Year - Common Points, Example of Setup 3 and First Weeks Results.
Part 1
Part 2

We're going to start this post with dealing with common heckles. Some people have heckled me already in this posting series. I know from having done things like this publicly a few times before there are catchphrase heckles to be dealt with, and we'll do this one and for all here. If I've linked you here, you've done a FMH (Frequently Made Heckle).
If you're not a heckler, you can skip the line break for the strategy stuff, but this section may still be interesting for you.
FMH 1 : Elliot wave does not work all the time.

I know. The clock in my living-room does not work all the time. If it tells me it's 2am and I look out and it's broad day light, I use some discerning judgement based on my experience of looking out of a window, and I suspect it may be incorrect. If it tells me it's 8.30am and I look out and see little kids with school bags walking past the window, I suspect the clock may have a point.

When I write all the rules and exceptions in my posts, I am not doing this to make the posts longer. These are rules and exceptions designed to describe situations when it probably is happening. Of course it does not "Always work". I am not say it does. Your assumption I have not thought through the same extraordinary simplistic, "But, what if ...." questions is either you under estimating me, over estimating you, or both.

FMH 2 : Fibs levels do not work, studies show it is as good as random.

Two points. Firstly, I've read some of these studies. These hypothetical things done by people who have never traded in the market and want to produce intellectual ideas about it. While reading through the method of the experiment it's apparent to me it won't work. I could save them some time if they call me and tell me their hypothesis;

"Nope. You'll lose about 20% a year doing that. Good general idea. Okay starting point, but you get fucked here, here and here. Work on that".
I will not value the opinion of someone paid to write papers on fibs over my experience being paid to trade them. I will not go out my way to try to get you to value my opinion. I've learned people will either test things I say and know the truth of them for their selves with me posting the amount of interesting evidence/results that I do, and others would not test it if I posted a million examples.

Point two. Not perfect does not mean not practical. Fib levels do not react absolutely perfectly. I suspect the reason for this is so many people use them to put stops behind these days. In days gone by, they were probably more accurate, but as stop clusters became more predictable and concentrated this change. Game theory sort of stuff. Read more about my thoughts on this here.

The thing is, for those who pay enough time and attention, there are patterns of when the fibs either do work very well, or "do not work" in the exact same way over and over again. If they do "not work" in the same way over and over, that's the same as working to me. I am looking for patterns to trade for profit. Not to compile a pretty chart of data points as to if price turned specifically on the 61.8 over a million samples.

FMH 3 - "Everything you're saying is wrong", "You're an idiot", "I am non-specifically and non-constructively disagreeing" (Yeah, people drop that last one, verbatim, all the time)

Pics, or it didn't happen. I am willing to "get up here" so to speak and succeed or fail in front of everyone. I'm posting what I do, and explaining all my rational. Results are being tracked. Time and continuity will display my outcomes. Is there a way you suggest you can provide stronger proof I am wrong that I am proposing to prove I am right?

If you're just saying you think I am stupid, because you know the market so much better than me my standard reply is as follows;

" If you'd like to propose, explain and track a strategy you think will outperform this we can both keep our records and that will best determine who's opinions have profitability. It seems something that would be good for the community. "

Pics or it didn't happen. Only analysts and economists are paid for opinions. My job demands a far more practical approach.

FMH 4 - "What REALLY happened with (insert news related thing) this and your guesses were just lucky".

If I said it would happen yesterday, then set trades for it happening and profited from them today; it does not matter to me the reason you give me for it tomorrow. If you choose to view the market as being like this, you may. If it ever does start to become more relevant to me making profits or not, I will pay attention to other things. Right now, I do not follow them closely and that has never mattered. Either I am consistently lucky, physic or right. Pick the flavor for you.

I will not engage in conversation on any of these points coming from a closed minded perspective. By which I mean you only commenting to tell me why you're right. If you feel someone has to add balance with these comments, go ahead. I encourage people to be scientific in their approach and having different viewpoints helps with this. Do your own experiments.

I will answer honest questions, and will gladly engage people who disagree with me and do so from the perspective of personal study. Usually we can both learn and teach if both of us have firsthand knowledge. This is rare, but enjoyable.

==================================================================================================

On to GBPUSD. As I said may be possible in the previous post, the trade for the bigger run up post Chicago was missed. This can happen. It's better to miss bad opportunities than squander good money on bad ones, and at the time I had the option of entering, there was no way to tell the difference between these - so I did nothing.

Later in the day price continued to be consistent with the formations of a spike pattern. Here I engaged the market.

GBPUSD 1 Minute

My entering pattern was to first open two small trades with a 13 pip stop. This was an emergency stop, I always planned to tighten it up (it'd only hit in the event of an immediate capitulation). The risk here was about 0.15%. When the market moved a bit lower, I entered more positions and having more data felt better about where to place stops. All stops went to 6 pips or less (bigger position, same starting risk).

As price reached the best level, I opened my largest trade. Stop went from 3 - 6 pips with big stops being 2 pips. Effective stop something like 3-4 pips. Targets hit for 10 - 12 pips, giving an effective pay off on risk just short of 1:3. I do not use aggressive position sizing in this part of the trade (usually it already carries made profits), so the net risk was low. Around 0.25%. Net gain in positions was 0.6%.

GBPUSD 1 min
From left to right the positions get bigger. Notice also the biggest position (low) takes profit a good bit before where I forecast the high (bulk close). This trade hitting should give assurance of breakeven on this trade, so the risk on capital is gone on this trade on a double top move, then profits accumulated in the breakout.

Results for the day;


https://preview.redd.it/96zq7cy1j9i31.png?width=821&format=png&auto=webp&s=d324348621a5c0931a90de207fe8aebb116f934d


Current Gain = 0.65%
Max risk exposure possible - 0.4%
Max real equity drawdown - < 0.2%

Due to not being entirely available for trading today this was a big under-performance of what the strategy could have achieved. It's been a decent example day to show the logistics of how the trades can form. To make 2 - 3% today with the same draw-down was possible.
submitted by whatthefx to Forex [link] [comments]

Just 2 more Conspiracy Theories that turned out to be True

(i couldn't post in the previous one , word limit )

1.Big Brother or the Shadow Government

It is also called the “Deep State” by Peter Dale Scott, a professor at the University of California, Berkeley.
A shadow government is a "government-in-waiting" that remains in waiting with the intention of taking control of a government in response to some event. It turned out this was true on 9/11, when it was told to us by our mainstream media. For years, this was ridiculed as a silly, crazy conspiracy theory and, like the others listed here, turned out to be 100% true. It is also called the Continuity of Government.
The Continuity of Government (COG) is the principle of establishing defined procedures that allow a government to continue its essential operations in case of nuclear war or other catastrophic event. Since the end of the cold war, the policies and procedures for the COG have been altered according to realistic threats of that time.
These include but are not limited to a possible coup or overthrow by right wing terrorist groups, a terrorist attack in general, an assassination, and so on. Believe it or not the COG has been in effect since 2001.After 9/11, it went into action.
Now here is the kicker, many of the figures in Iran Contra, the Watergate Scandal, the alleged conspiracy to assassinate Kennedy, and many others listed here are indeed members of the COG. This is its own conspiracy as well.
The Secret Team:
The CIA and Its Allies in Control of the United States and the World is a book written by Air Force Col. L Fletcher Prouty, published in 1973.
From 1955 to 1963 Prouty was the "Focal Point Officer" for contacts between the CIA and the Pentagon on matters relating to military support for "black operations" but he was not assigned to the CIA and was not bound by any oath of secrecy. (From the first page of the 1974 Printing)
It was one of the first tell-all books about the inner workings of the CIA and was an important influence on the Oliver Stone movie JFK. But the main thrust of the book is how the CIA started as a think tank to analyze intelligence gathered from military sources but has grown to the monster it has become. The CIA had no authority to run their own agents or to carry out covert operations but they quickly did both and much more. This book tells about things they actually did and a lot about how the operate. In Prouty's own words, from the 1997 edition of The Secret Team: This is the fundamental game of the Secret Team. They have this power because they control secrecy and secret intelligence and because they have the ability to take advantage of the most modern communications system in the world, of global transportation systems, of quantities of weapons of all kinds, and when needed, the full support of a world-wide U.S. military supporting base structure.
They can use the finest intelligence system in the world, and most importantly, they have been able to operate under the canopy of an assumed, ever-present enemy called "Communism." It will be interesting to see what "enemy" develops in the years ahead. It appears that "UFO's and Aliens" are being primed to fulfill that role for the future.
To top all of this, there is the fact that the CIA, itself, has assumed the right to generate and direct secret operations. "He is not the first to allege that UFOs and Aliens are going to be used as a threat against the world to globalize the planet under One government."
The Report from Iron Mountain
The Report from Iron Mountain is a book, published in 1967 (during the Johnson Administration) by Dial Press, that states that it is the report of a government panel.
According to the report, a 15-member panel, called the Special Study Group, was set up in 1963 to examine what problems would occur if the U.S. entered a state of lasting peace.
They met at an underground nuclear bunker called Iron Mountain (as well as other, worldwide locations) and worked over the next two years. Iron Mountain is where the government has stored the flight 93 evidence from 9/11.A member of the panel, one "John Doe", a professor at a college in the Midwest, decided to release the report to the public. The heavily footnoted report concluded that peace was not in the interest of a stable society, that even if lasting peace, "could be achieved, it would almost certainly not be in the best interests of society to achieve it." War was a part of the economy.
Therefore, it was necessary to conceive a state of war for a stable economy. The government, the group theorized, would not exist without war, and nation states existed in order to wage war. War also served a vital function of diverting collective aggression. They recommended that bodies be created to emulate the economic functions of war.
They also recommended "blood games" and that the government create alternative foes that would scare the people with reports of alien life-forms and out of control pollution.
Another proposal was the reinstitution of slavery.
U.S. News and World Report claimed in its November 20, 1967 issue to have confirmation of the reality of the report from an unnamed government official, who added that when President Johnson read the report, he 'hit the roof' and ordered it to be suppressed for all time.
Additionally, sources were said to have revealed that orders were sent to U.S. embassies, instructing them to emphasize that the book had no relation to U.S. Government policy.
Project Blue Beam is also a common conspiracy theory that alleges that a faked alien landing would be used as a means of scaring the public into whatever global system is suggested. Some researchers suggest the Report from Iron Mountain might be fabricated, others swear it is real.
Bill Moyers, the American journalist and public commentator, has served as White House Press Secretary in the United States President Lyndon B. Johnson Administration from 1965 to 1967. He worked as a news commentator on television for ten years. Moyers has had an extensive involvement with public television, producing documentaries and news journal programs.
He has won numerous awards and honorary degrees. He has become well known as a trenchant critic of the U.S. media. Since 1990, Moyers has been President of the Schumann Center for Media and Democracy. He is considered by many to be a very credible outlet for the truth. He released a documentary titled, The Secret Government, which exposed the inner workings of a secret government much more vast that most people would ever imagine.
Though originally broadcast in 1987, it is even more relevant today. Interviews with respected top military, intelligence, and government insiders reveal both the history and secret objectives of powerful groups in the hidden shadows of our government.
Here is that documentary:
vid
For another powerful, highly revealing documentary on the manipulations of the secret government produced by BBC, click here.
The intrepid BBC team clearly shows how the War on Terror is largely a fabrication.
For those interested in very detailed information on the composition of the shadow or secret government from a less well-known source, take a look at the summary available here.

2. The Federal Reserve Bank

The fundamental promise of a central bank like the Federal Reserve is economic stability.
The theory is that manipulating the value of the currency allows financial booms to go higher, and crashes to be more mild. If growth becomes speculative and unsustainable, the central bank can make the price of money go up and force some deleveraging of risky investments - again, promising to make the crashes more mild.
The period leading up to the American revolution was characterized by increasingly authoritarian legislation from England. Acts passed in 1764 had a particularly harsh effect on the previously robust colonial economy.
The Sugar Act was in effect a tax cut on easily smuggled molasses, and a new tax on commodities that England more directly controlled trade over. The navy would be used in increased capacity to enforce trade laws and collect duties.
Perhaps even more significant than the militarization and expansion of taxes was the Currency Act passed later in the year 1764.
"The colonies suffered a constant shortage of currency with which to conduct trade. There were no gold or silver mines and currency could only be obtained through trade as regulated by Great Britain. Many of the colonies felt no alternative to printing their own paper money in the form of Bills of Credit."
The result was a true free market of currency - each bank competed, exchange rates fluctuated wildly, and merchants were hesitant to accept these notes as payment.
Of course, they didn't have 24-hour digital Forex markets, but I'll hold off opinions on the viability of unregulated currency for another time.
England's response was to seize control of the colonial money supply - forbidding banks, cities, and colony governments from printing their own. This law, passed so soon after the Sugar Act, started to really bring revolutionary tension inside the colonies to a higher level.
American bankers had learned early on that debasing a currency through inflation is a helpful way to pay off perpetual trade deficits - but Britain proved that the buyer of the currency would only take the deal for so long...
Following the (first) American Revolution, the "First Bank of the United States" was chartered to pay off collective war debts, and effectively distribute the cost of the revolution proportionately throughout all of the states. Although the bank had vocal and harsh skeptics, it only controlled about 20% of the nation's money supply.
Compared to today's central bank, it was nothing.
Thomas Jefferson argued vocally against the institution of the bank, mostly citing constitutional concerns and the limitations of government found in the 10th amendment.
There was one additional quote that hints at the deeper structural flaw of a central bank in a supposedly free capitalist economy.
"The existing banks will, without a doubt, enter into arrangements for lending their agency, and the more favorable, as there will be a competition among them for it; whereas the bill delivers us up bound to the national bank, who are free to refuse all arrangement, but on their own terms, and the public not free, on such refusal, to employ any other bank" –Thomas Jefferson.Basically, the existing banks will fight over gaining favor with the central bank - rather than improving their performance relative to a free market.
The profit margins associated with collusion would obviously outweigh the potential profits gained from legitimate business.
The Second Bank of the United States was passed five years after the first bank's charter expired. An early enemy of central banking, President James Madison, was looking for a way to stabilize the currency in 1816. This bank was also quite temporary - it would only stay in operation until 1833 when President Andrew Jackson would end federal deposits at the institution.
The charter expired in 1836 and the private corporation was bankrupt and liquidated by 1841.While the South had been the major opponent of central banking systems, the end of the Civil War allowed for (and also made necessary) the system of national banks that would dominate the next fifty years.
The Office of the Comptroller of the Currency (OCC) says that this post-war period of a unified national currency and system of national banks "worked well." [3] Taxes on state banks were imposed to encourage people to use the national banks - but liquidity problems persisted as the money supply did not match the economic cycles.
Overall, the American economy continued to grow faster than Europe, but the period did not bring economic stability by any stretch of the imagination. Several panics and runs on the bank - and it became a fact of life under this system of competing nationalized banks. In 1873, 1893, 1901, and 1907 significant panics caused a series of bank failures.
The new system wasn't stable at all, in fact, many suspected it was wrought with fraud and manipulation.
The Federal Reserve Bank of Minneapolis is not shy about attributing the causes of the Panic of 1907 to financial manipulation from the existing banking establishment.
"If Knickerbocker Trust would falter, then Congress and the public would lose faith in all trust companies and banks would stand to gain, the bankers reasoned."
In timing with natural economic cycles, major banks including J.P. Morgan and Chase launched an all-out assault on Heinze's Knickerbocker Trust.
Financial institutions on the inside started silently selling off assets in the competitor, and headlines about a few bad loans started making top spots in the newspapers.
The run on Knickerbocker turned into a general panic - and the Federal Government would come to the rescue of its privately owned "National Banks.
"During the Panic of 1907, "Depositors 'run' on the Knickerbocker Bank. J.P. Morgan and James Stillman of First National City Bank (Citibank) act as a "central bank," providing liquidity ... [to stop the bank run] President Theodore Roosevelt provides Morgan with $25 million in government funds ... to control the panic. Morgan, acting as a one-man central bank, decides which firms will fail and which firms will survive."
How did JP Morgan get so powerful that the government would provide them with funding to increase their power? They had key influence with positions inside the Administrations.
They had senators, congressmen, lobbyists, media moguls all working for them.
In 1886, a group of millionaires purchased Jekyll Island and converted it into a winter retreat and hunting ground, the USA's most exclusive club. By 1900, the club's roster represented 1/6th of the world's wealth. Names like Astor, Vanderbilt, Morgan, Pulitzer and Gould filled the club's register. Non- members, regardless of stature, were not allowed. Dignitaries like Winston Churchill and President McKinley were refused admission.
In 1908, the year after a national money panic purportedly created by J. P. Morgan, Congress established, in 1908, a National Monetary Authority. In 1910 another, more secretive, group was formed consisting of the chiefs of major corporations and banks in this country. The group left secretly by rail from Hoboken, New Jersey, and traveled anonymously to the hunting lodge on Jekyll Island.
In fact, the Clubhouse/hotel on the island has two conference rooms named for the "Federal Reserve." The meeting was so secret that none referred to the other by his last name. Why the need for secrecy?
Frank Vanderlip wrote later in the Saturday Evening Post,
"...it would have been fatal to Senator Aldrich's plan to have it known that he was calling on anybody from Wall Street to help him in preparing his bill...I do not feel it is any exaggeration to speak of our secret expedition to Jekyll Island as the occasion of the actual conception of what eventually became the Federal Reserve System."
At Jekyll Island, the true draftsman for the Federal Reserve was Paul Warburg. The plan was simple.
The new central bank could not be called a central bank because America did not want one, so it had to be given a deceptive name. Ostensibly, the bank was to be controlled by Congress, but a majority of its members were to be selected by the private banks that would own its stock.
To keep the public from thinking that the Federal Reserve would be controlled from New York, a system of twelve regional banks was designed. Given the concentration of money and credit in New York, the Federal Reserve Bank of New York controlled the system, making the regional concept initially nothing but a ruse.
The board and chairman were to be selected by the President, but in the words of Colonel Edward House, the board would serve such a term as to "put them out of the power of the President."
The power over the creation of money was to be taken from the people and placed in the hands of private bankers who could expand or contract credit as they felt best suited their needs. Why the opposition to a central bank? Americans at the time knew of the destruction to the economy the European central banks had caused to their respective countries and to countries who became their debtors.
They saw the large- scale government deficit spending and debt creation that occurred in Europe. But European financial moguls didn't rest until the New World was within their orbit. In 1902, Paul Warburg, a friend and associate of the Rothschilds and an expert on European central banking, came to this country as a partner in Kuhn, Loeb and Company.
He married the daughter of Solomon Loeb, one of the founders of the firm. The head of Kuhn, Loeb was Jacob Schiff, whose gift of $20 million in gold to the struggling Russian communists in 1917 no doubt saved their revolution. The Fed controls the banking system in the USA, not the Congress nor the people indirectly (as the Constitution dictates). The U.S. central bank strategy is a product of European banking interests.
Government interventionists got their wish in 1913 with the Federal Reserve (and income tax amendment). Just in time, too, because the nation needed a new source of unlimited cash to finance both sides of WW1 and eventually our own entry to the war.
After the war, with both sides owing us debt through the federal reserve backed banks, the center of finance moved from London to New York. But did the Federal Reserve reign in the money trusts and interlocking directorates? Not by a long shot. If anything, the Federal Reserve granted new powers to the National Banks by permitting overseas branches and new types of banking services.
The greatest gift to the bankers, was a virtually unlimited supply of loans when they experience liquidity problems.
From the early 1920s to 1929, the monetary supply expanded at a rapid pace and the nation experienced wild economic growth. Curiously, however, the number of banks started to decline for the first time in American history. Toward the end of the period, speculation and loose money had propelled asset and equity prices to unreal levels.
The stock market crashed, and as the banks struggled with liquidity problems, the Federal Reserve actually cut the money supply. Without a doubt, this is the greatest financial panic and economic collapse in American history - and it never could have happened on this scale without the Fed's intervention.
The number of banks crashed and a few of the old robber barons' banks managed to swoop in and grab up thousands of competitors for pennies on the dollar.
See:
America - From Freedom to Fascism The Money Masters Monopoly Men (below video):
VID
submitted by CuteBananaMuffin to conspiracy [link] [comments]

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  91. NOTSONEWREDDITS
  92. dndspells
  93. smallsuccesses
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  95. u_Swegmecc
  96. needamod
  97. DWFEATURETEST
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  102. ModArchiesBirthday
  103. designstudents
  104. phallo
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  195. u_ilovebrendonurie_
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  231. UnexpectedTF2
  232. NerdMasterislit
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  235. u_BobRoss_keepcrits
  236. dank_meme
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  238. u_Kedi_The_Producer
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  259. wholesomegreentext
  260. u_Jeppebs02
  261. DuckyHub
  262. ani_bm
  263. 2meirl4meirl
  264. mathriddles
  265. lingling40hrs
  266. FortniteCompetitive
  267. DownvotedToOblivion
  268. u_assholicpizzoli
  269. retrogames
  270. youngadults
  271. CyburgerYT_Official
  272. JustSubbed
  273. TeenagersCircleJerk
  274. fuckyoujonah
  275. 2b2t
  276. Vegan_Food
  277. Feminism
  278. dontupdoottheemoji
  279. Snooverse
  280. Undertale
  281. beatsaber
  282. FuckCaillou
  283. u_mariomax2005
  284. LivestreamFail
  285. fortniteaccounts
  286. FreeKarma4U
  287. cakeday
  288. ReuseSchoolwork
  289. Note10Wallpaper
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  295. subreddit
  296. 24hoursupport
  297. galaxynote
  298. audio
  299. unexpectedcommunism
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  301. u_sikst33n
  302. shittyshowerthoughts
  303. ShowerThoughtsUL
  304. teenagersnewmusic
  305. modhelp
  306. TeenagersButBetter
  307. teenagersnew
  308. notinteresting
  309. Monstercat
  310. cursedcursedcomments
  311. thatsthejoke
  312. AskTeenGirls
  313. FIFA
  314. pennystocks
  315. u_MainRide
  316. u_voloxii
  317. perfectlycutscreams
  318. MrBeast
  319. geocaching
  320. YoungThug
  321. duolingomemes
  322. earlsweatshirt
  323. YoungPeoplePornhub
  324. u_SyrupOnWaffle_
  325. russ
  326. unexpectedmoisture
  327. RealAntiVaxMovement
  328. SandersForPresident
  329. Astroneer
  330. forbiddensnacks
  331. RosemountHighMN
  332. smoobypost
  333. HelicopterAddict
  334. Brawlstars
  335. Sino
  336. iamverybadass
  337. u_moohmad511
  338. TooMeIrlForMeIrl
  339. dontputyourdickinthat
  340. DokkanBattleCommunity
  341. BanPitBulls
  342. GameTheorists
  343. Homophobes
  344. MGTOW
  345. u_RC_G4m1ng
  346. horn
  347. wow
  348. feedthebeast
  349. creepyasterisks
  350. FoodPorn
  351. 5ToubunNoHanayome
  352. pewdiepie
  353. Diepio
  354. ZombielandSaga
  355. MCPE
  356. minecraftsuggestions
  357. Zebra1
  358. 1arbez
  359. BikiniBottomTwitter
  360. u_zeebbbrrrraaaaa1
  361. girlsfrontline
  362. HolUp
  363. hmm
  364. Memes_Of_The_Dank
  365. BeansInThings
  366. egg_irl
  367. schoolsuxrealbad
  368. Slipknot
  369. steelseries
  370. buildapcsales
  371. ClashRoyale
  372. MouseReview
  373. essential
  374. DarlingInTheFranxx
  375. redditmobile
  376. BattlelandsRoyale
  377. AskAnthropology
  378. AskBattlestations
  379. PSVR
  380. RocketLeagueExchange
  381. LogitechG
  382. XIM
  383. battlefield_one
  384. XiM4
  385. DHMIS
  386. Maximilianmus
  387. shittyrainbow6
  388. donniedarko
  389. SongMeanings
  390. indieheads
  391. DiagnoseMe
  392. FiftyFifty
  393. shitpostemblem
  394. Ooer
  395. Pasteurized
  396. StreetFighter
  397. Justfuckmyshitup
  398. United_Chads
  399. MakeNewFriendsHere
  400. Vans
  401. beetlejuicing
  402. Nicegirls
  403. u_AnthropomorphizedYak
  404. Gintama
  405. teengamingnights
  406. SwitchPirates
  407. SwitchHacks
  408. VaporwaveAesthetics
  409. imsorryjon
  410. u_DesuNyanNyan
  411. Im5andthisismacaroni
  412. DesuNyanNyan
  413. Weebagers
  414. me_irlgbt
  415. terriblefandommemes
  416. antimeme
  417. 2wholesome4meirl
  418. PUBGMobile
  419. Mi9T
  420. MSTF1
  421. EatCheapAndHealthy
  422. automationgame
  423. bugs
  424. InternetHistorian
  425. area43
  426. JonWinsTheThrone
  427. dogelore
  428. specializedtools
  429. trypophobia
  430. NIBBBA
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  432. RBI
  433. BarryVsLarry
  434. mentalillness
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  436. DeepIntoYouTube
  437. phonewallpapers
  438. AccidentalRenaissance
  439. PanicAttack
  440. prozac
  441. ipfs
  442. ksi
  443. Sidemen
  444. FRC
  445. CookieClicker
  446. EnterTheGungeon
  447. SaddestCringe
  448. mildlyvagina
  449. fixit
  450. FullScorpion
  451. scpfuel
  452. nevertellmetheodds
  453. shittylifehacks
  454. DarkHumorAndMemes
  455. cat
  456. redditgolddigger
  457. freegold
  458. GoForGold
  459. animememes
  460. hentaidankmemes
  461. CoolBugFacts
  462. firetruckmostertruck
  463. u_Colek1127
  464. thechurchofpoppy
  465. weeatwasps
  466. moist_memes
  467. WeEatBees
  468. SonicTheHedgehog
  469. KDRAMA
  470. Airsoft_UK
  471. plymouth
  472. unexpecteditcrowd
  473. u_diabolicalb3ast
  474. thewalkingdead
  475. forhire
  476. bdoghomieg123
  477. ems
  478. Python
  479. WatchRedditDie
  480. MEOW_IRL
  481. Motocross
  482. Technoblade
  483. DarkJokeCentral
  484. BreadStapledToTrees
  485. u_sockmysocks
  486. deadbydaylight
  487. nocontextpics
  488. discgolf
  489. magicTCG
  490. Catsmirin
  491. astrophotography
  492. suspiciousquotes
  493. texts
  494. NASCAR
  495. androidroot
  496. hittableFaces
  497. FuckHomescapes
  498. HowToHack
  499. hacking
  500. shortcuts
  501. iOSsetups
  502. PixelGun
  503. Drugs
  504. iOSBeta
  505. JelBrek
  506. rage
  507. Sbubbyirl
  508. frogs
  509. Shittypokestops
  510. PokemonGoNewJersey
  511. Fishing
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  513. friendsafari
  514. u_xProfessionalRetardx
  515. ThiccNibbaInc
  516. TheBoomerFamily
  517. ihavereddit
  518. playrust
  519. playrustcirclejerk
  520. theyknew
  521. JustCause
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  524. RandomQuestion
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  526. LinusTechTips
  527. IdiotsFightingThings
  528. MensRights
  529. nocontext
  530. bootcamp
  531. Tendies
  532. SubsYouFellFor
  533. kauai
  534. electronics
  535. u_That_one_sander
  536. HowDoIRespondToThis
  537. MinecraftBuddies
  538. overlord
  539. MangaCollectors
  540. MeetPeople
  541. CreatorServices
  542. accidentalswastika
  543. slavelabour
  544. translator
  545. youtubestartups
  546. commandandconquer
  547. freesoftware
  548. handbrake
  549. prisonschool
  550. wholesome
  551. xbox
  552. supersmashbros
  553. 3Dmodeling
  554. NewTubers
  555. Scams
  556. netflix
  557. wiiu
  558. TVDetails
  559. notforspelunking
  560. Tetris99
  561. jakanddaxter
  562. u_B00tyC0nsumer69
  563. grissomhighschool
  564. nba
  565. MineralPorn
  566. Miniworlds
  567. theperfectpokemongame
  568. LAClippers
  569. wildbeef
  570. KeanuBeingAwesome
  571. rescuecats
  572. penguin
  573. Zoomies
  574. shiba
  575. Raccoons
  576. u_YeetVegetabales
  577. agt
  578. Davie504
  579. misfits
  580. HeistTeams
  581. TapTitans2
  582. Whataburger
  583. ATT
  584. TeensMeetTeens
  585. razer
  586. USAA
  587. Nitrotype
  588. AnaMains
  589. Shitstatistssay
  590. summonerswar
  591. DestinyLFG
  592. riverdale
  593. superpowereds
  594. Kakegurui
  595. EntitledPeople
  596. rutgers
  597. DragonballLegends
  598. OnePieceTC
  599. DBZDokkanBattle
  600. MortisGang
  601. gaybrosgonemild
  602. Tunisia
  603. YouTube_startups
  604. TwitterFollowers
  605. hackintosh
  606. twitter_memes
  607. YouTubePromoter
  608. SimCity
  609. weather
  610. LowSodiumDestiny
  611. IncreasinglyVerbose
  612. suddenlysexoffender
  613. absolutelynotme_irl
  614. 4PanelCringe
  615. Monk
  616. u_VeryWeirdHumanBeing
  617. thanksihateit
  618. MiniLadd
  619. flatearth
  620. bertstrips
  621. FortniteBattleRoyale
  622. ShrineOfJonesy
  623. custommagic
  624. China
  625. Rowing
  626. CardiganWelshCorgi
  627. GlobalOffensive
  628. AustralianShepherd
  629. montageparodies
  630. seltzer
  631. Hedgehog
  632. wallpaper
  633. TeenagersShitpost
  634. CallOfDuty
  635. ShadowBan
  636. TeensDebate
  637. PoliticalDiscussion
  638. Youbrokethechain
  639. MadeInAbyss
  640. grilledcheese
  641. DidntKnowIWantedThat
  642. httyd
  643. AvengersEndGame
  644. FortniteDisscusion
  645. Kaiserreich
  646. yesyesyesno
  647. puns
  648. u_andrew_982_
  649. orangesbeingbros
  650. geometrydash
  651. ilikemybeatsfast
  652. EmojiPolice
  653. BanVideoGames
  654. Telephoneism
  655. onewordeach
  656. TheRightCantMeme
  657. u_LegendGamer320
  658. Library
  659. BetaLands
  660. MortalKombat
  661. retrogaming
  662. nes
  663. Gameboy
  664. ClassicRock
  665. Tinder
  666. intotheshadowrealm
  667. highdeas
  668. AccidentalThanos
  669. shittymoviedetails
  670. trebuchetmemes
  671. TheOfficialPodcast
  672. Getdownmrpresident
  673. UnethicalLifeProTips
  674. talesfromcavesupport
  675. BattlefieldV
  676. UNCCharlotte
  677. Military
  678. Buddhism
  679. biology
  680. Blackrun
  681. single
  682. PostAndBanned
  683. PedoLogic
  684. wooooosh
  685. gaeilge
  686. woof_irl
  687. u_PeePeePooPooHead69
  688. csgo
  689. AskOujia
  690. YuB
  691. SubsIFellFor
  692. pokemonuranium
  693. familyguy
  694. u_yeetus-Antq
  695. TheOther14mil
  696. badteachers
  697. ExplainAGamePlotBadly
  698. u_mrbro1o1
  699. KrunkerIO
  700. dankmemes2
  701. shieldbro
  702. PSP
  703. collage
  704. Roms
  705. mormon
  706. dirtyvoicechat
  707. Internet
  708. NoFapChristians
  709. MinecraftOne
  710. minecraftseeds
  711. xboxone
  712. FuckMyShitUp
  713. PUBGXboxOne
  714. fourpanelcringe
  715. Dogfree
  716. CanadianHardwareSwap
  717. hardwareswap
  718. MinecraftCommands
  719. prusa3d
  720. Wealthsimple_Trade
  721. redbull
  722. IVBDA
  723. ac_newhorizons
  724. raresuicidebywords
  725. fourredditorsonecup
  726. unexpectedcannibalism
  727. airpods
  728. rimjob_steve
  729. flextapecantfixthat
  730. twentyonepilots
  731. DecreasinglyVerbose
  732. TheRealJoke
  733. UpvotedBecauseButt
  734. redditsings
  735. TwennyWunPilots
  736. iOSthemes
  737. subtleprequelmemes
  738. HarleyQuinn
  739. Niggawhat
  740. Shitty_Car_Mods
  741. subsithoughtifellfor
  742. Voltron
  743. epicmemes
  744. vancouver
  745. Warhammer40k
  746. PokemonXandY
  747. LooksLikeSlazo
  748. IamNumberFour
  749. swrpg
  750. MafiaCityMemes
  751. swtor
  752. RoyaleRecruit
  753. Vaping
  754. pan_media
  755. DestinyLore
  756. FortniteSucks
  757. fightporn
  758. themob
  759. u_GrizzyIy
  760. XXXTENTACION
  761. 4chan
  762. MusicForTeens
  763. tazman595
  764. karma
  765. school
  766. Cancersupportgroup
  767. cancer
  768. SeriousConversation
  769. PeopleAreFckinStupid
  770. JackSucksAtLife
  771. Why
  772. oddlyspecific
  773. oculus
  774. bookclapreviewclap
  775. FixMyPrint
  776. arduino
  777. EtikaRedditNetwork
  778. SmallWitDatHotFiya
  779. 465
  780. idklolihidsomething
  781. hmssss
  782. UsefulMemes
  783. calebfinn
  784. Animal
  785. randomactsofkindness
  786. shy
  787. TomHolland
  788. bulletjournal
  789. shittyfacebookmemes
  790. EmpireDidNothingWrong
  791. OculusQuest
  792. coincidence
  793. chairsunderwater
  794. DecaturHighschoolGA
  795. XXY
  796. Dyslexia
  797. uwutranslator
  798. ContestOfChampions
  799. UsernameChecksOut
  800. unexpectedtrivago
  801. wrongnumber
  802. venmo
  803. IllegalLifeProTips
  804. HitBoxPorn
  805. Shrek
  806. weirdnews
  807. specialed
  808. EndgameSpoilers
  809. specialeducation
  810. antivax
  811. AntiVaxxers
  812. u_purpleyellowpaint
  813. bi_irl
  814. sugarfreemua
  815. lanadelrey
  816. volleyball
  817. muacjdiscussion
  818. ThisButUnironically
  819. ShitLiberalsSay
  820. brokeabone
  821. discord_irl
  822. excitingdystopia
  823. BenBashiroLore
  824. VaushV
  825. ABoringDystopia
  826. FristOfAllHowDareYou
  827. hamsters
  828. SubredditSimMeta
  829. TropicalWeather
  830. Landlord
  831. AntifascistsofReddit
  832. hamstercare
  833. vexillologycirclejerk
  834. therewasnoattempt
  835. ennnnnnnnnnnnbbbbbby
  836. RealSolarSystem
  837. u_CondomCrusader69
  838. band
  839. FlexSealFanClub
  840. Armor
  841. MemeFormats
  842. Puberty
  843. conceptart
  844. CondomKingdom
  845. u_Some16yoLosr
  846. FireEmblemHeroes
  847. FondantLove
  848. LaCrescentMN
  849. u_PugMage101
  850. darkvideos
  851. u_Sadness92
  852. PERSoNA
  853. JacksFilms
  854. jschlatt
  855. castlevania
  856. stfuretard
  857. CloneWarsMemes
  858. DeepFried
  859. legostarwars
  860. u_DVproductions64
  861. KamikazeByWords
  862. ImGoingToHellForThis
  863. linuxmemes
  864. codes
  865. crypto
  866. cpp_questions
  867. Laptop
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  869. Kalilinux
  870. PHP
  871. TOR
  872. Doomers
  873. learnpython
  874. RecRoom
  875. orbusvr
  876. VirtualDesktop
  877. bigscreen
  878. ProTubeVR
  879. VRchat
  880. OculusQuestModding
  881. Borderlands2
  882. DeathToBuzzfeed
  883. deadbabyjokes
  884. u_MCT1233
  885. kpop
  886. crystalclear
  887. GIDLE
  888. pokemongoyellow
  889. bidle
  890. unpopularkpopopinions
  891. HermitCraft
  892. ItHadToBeBrazil
  893. grian
  894. MumboJumboYouTube
  895. recycling
  896. usernamefamily
  897. BirdsArentReal
  898. u_Gay_Papa
  899. BSA
  900. u_ConsumeSyrup
  901. ModdedMinecraft
  902. ROBLOXmemes
  903. gangbeasts
  904. Discussion
  905. CrossCountry
  906. fuck
  907. FML
  908. TonightsBigLosers
  909. skeppy
  910. mcservers
  911. pussypassdenied
  912. backgrounds
  913. IsThereASubredditFor
  914. BulletHellMonday
  915. u_whyMYpeepeeGREEN
  916. marchingband
  917. TuberSimulator
  918. FosterTheCirclejerk
  919. GiftofGames
  920. deadmeatjames
  921. AshVsEvilDead
  922. GachaLifeCringe
  923. IntotheDarkHulu
  924. ChernobylMemes
  925. asl
  926. Hong_Kong
  927. vexillology
  928. imaginarymaps
  929. mountaindew
  930. SurrealApprovals
  931. Blessed_Images
  932. Metallica
  933. ainbow
  934. u_Mr-Damaged
  935. SmallYTChannel
  936. skype
  937. FamilyIssues
  938. FellowTeens
  939. MinecraftParodyMemes
  940. BloodyLegends
  941. DankMemes_Circlejerk
  942. cursedminecraftimages
  943. TeenagersUnrelatable
  944. reddeadfashion
  945. reddeadmemes
  946. itswooshwith2os
  947. phones
  948. Fishers
  949. Quizlet_Live_Raids
  950. CutePuppyPics
  951. u_Wakeless_place
  952. SeenElsewhere
  953. GreyStillPlays
  954. LazarBeam
  955. FUCKYOUINPARTICULAR
  956. stein_world
  957. perfectphotos
  958. PhoenixSC
  959. Crayfish
  960. MinecraftVsFortnite
  961. CallOfDutyWorldWarTwo
  962. hypixel
  963. videomemes
  964. KeanuReeves
  965. ubisoft
  966. jacksepticeye
  967. Filmora
  968. montreal
  969. ComradeSShow
  970. InsiderMemeTrading
  971. unnamedfanbase
  972. LoomianLegacyTrading
  973. AnimalCrossingNewLeaf
  974. AdoptMyVillager
  975. papermario
  976. Memeconomy
  977. TooCuteForPorn
  978. ben
  979. GTAV
  980. smplive
  981. galaxybuds
  982. AMCsAList
  983. TwitchClips
  984. Spellbreak
  985. QueerEye
  986. jesuschristouija
  987. u_randomflyingcars
  988. onebag
  989. networking
  990. Dappermemes
  991. CrazyIdeas
  992. hardware
  993. beagle
  994. BoomerTears
  995. keto
  996. european_dankmemes
  997. QuantumSubreddits
  998. TeenMomOGandTeenMom2
  999. WeightLossAdvice
  1000. RLFashionAdvice
  1001. MetalMemes
  1002. systemofadown
  1003. guitarcirclejerk
  1004. drums
  1005. Megadeth
  1006. weightlifting
  1007. gmod
  1008. avengedsevenfold
  1009. airsoftcirclejerk
  1010. paintball
  1011. arma
  1012. joinsquad
  1013. AOC
  1014. fakeobituary
  1015. fuckmanny
  1016. JustBeWhite
  1017. GODUS
  1018. fuckalinity
  1019. adventurerscodex
  1020. slavbot
  1021. Meme_Battles
  1022. u_Trollium2166
  1023. gtavcustoms
  1024. 350z
  1025. Hawaii
  1026. Scootering
  1027. skate3
  1028. bmx
  1029. arizona
  1030. Sunsets
  1031. projectcar
  1032. Mustang
  1033. snowboarding
  1034. Boxing
  1035. u_slyone05
  1036. gank
  1037. ForHonorWuLin
  1038. bruhfunny
  1039. ForHonorRants
  1040. ProjectJojo
  1041. ProGreenStarPlatinum
  1042. fanStands
  1043. nothingeverhappens
  1044. imveryedgy
  1045. stupidquestions
  1046. forhonorknights
  1047. UnexpectedForHonor
  1048. ShootingFishInABarrel
  1049. RubberSoulMains
  1050. JojoHFTF
  1051. UnexpectedJoJo
  1052. undetectedsabaton
  1053. Battlefield
  1054. MillenniumDawn
  1055. fightsticks
  1056. okuyasu_irl
  1057. Stepmania
  1058. WOOOOOOSHED
  1059. shigechi_appreciation
  1060. completelyrealtexts
  1061. SteamScams
  1062. Powerwolf
  1063. u_KindStrangerOnReddit
  1064. PvZHeroes
  1065. Fish
  1066. JuiceWRLD
  1067. Gatorade
  1068. SelfHate
  1069. UgandaKnuckles
  1070. depressed
  1071. walouija
  1072. WeirdQuites
  1073. askdoctors
  1074. u_White0000
  1075. TrollXChromosomes
  1076. NarutoBlazing
  1077. u_Datnotguy17
  1078. howtokeepanidiotbusy
  1079. AyyMD
  1080. Jreg
  1081. wheresMwaldo
  1082. Political_Tumor
  1083. Purdue
  1084. GamingDetails
  1085. Handwriting
  1086. CrossView
  1087. SharedBPM
  1088. test
  1089. Stonetossingjuice
  1090. PictureGame
  1091. explainabookplotbadly
  1092. DuwangGang
  1093. Meemagers
  1094. CallMeCarson
  1095. ToolJerk
  1096. cursedmemes
  1097. virtualbeggar
  1098. left4dead
  1099. bigbangedmemes
  1100. whatintarnation
  1101. comicbookcollecting
  1102. Trophies
  1103. u_lilsusnibba
  1104. subredditwithnorules
  1105. homestuck
  1106. lux
  1107. TeamfightTactics
  1108. Wukongmains
  1109. LeagueofFailures
  1110. LeagueOfMemes
  1111. ezrealmains
  1112. akalimains
  1113. yuumimains
  1114. YIMO
  1115. botlanetinder
  1116. supportlol
  1117. MordekaiserMains
  1118. YasuoMains
  1119. neekomains
  1120. ApheliousMains
  1121. LEMMiNO
  1122. space
  1123. wwiipics
  1124. u_alt_1236
  1125. FiftyFiftyDev
  1126. MercyClub
  1127. Normies
  1128. wooooshwith4os
  1129. DungeonsAndDragons
  1130. spongebob
  1131. FromTheDepths
  1132. SpaceflightSimulator
  1133. BeardedDragons
  1134. Spore
  1135. TeenAstronomy
  1136. HistoryPorn
  1137. u_OneStrikeyBoi
  1138. tylerthecreator
  1139. PictureRap
  1140. CryptoftheNecrodancer
  1141. Teens4Teens
  1142. freenagers
  1143. RamenRegime
  1144. SemenTeam
  1145. Pitland
  1146. insaneparents
  1147. 90DayFiance
  1148. Chinesetourists
  1149. interracialdating
  1150. PutAnEggOnIt
  1151. drawings
  1152. u_kayasphotographs
  1153. mildlycreepy
  1154. likeothergirls
  1155. kahootgames
  1156. PoliticalCompassMemes
  1157. mood
  1158. cfbsober
  1159. TIGoogled
  1160. fsusports
  1161. rolltide
  1162. NewYorkMets
  1163. HuntsvilleAlabama
  1164. nfl
  1165. minnesotavikings
  1166. KarmaCourt
  1167. CFBOffTopic
  1168. Teenageers
  1169. 3BeansAndABeerCap
  1170. popheadscirclejerk
  1171. PuppySmiles
  1172. Komi_san
  1173. freebies
  1174. zerowondering
  1175. 177013
  1176. untrustworthypoptarts
  1177. subredditcancer
  1178. SubwayHentai
  1179. TsundereSharks
  1180. bee_irl
  1181. banned
  1182. LGBTOpenModmail
  1183. u_Rulx8
  1184. The_Dedede
  1185. NintendoWaifus
  1186. pchelp
  1187. SweetHomeAlabama
  1188. SmallYoutubers
  1189. Advertise
  1190. Suddenlybabyimyours
  1191. Lolitary
  1192. PornoMemes
  1193. clevercomebacks
  1194. SpaceMemes
  1195. TankPorn
  1196. AbandonedPorn
  1197. Hbonds
  1198. Jewdank
  1199. LiveLikeLarry
  1200. birdswitharms
  1201. SchoolSystemBroke
  1202. popping
  1203. okboomerretard
  1204. plants
  1205. PhonesAreBad
  1206. SavageGarden
  1207. airplaneears
  1208. shutthefuckup
  1209. mermaids
  1210. OriginalCharacters
  1211. tuckedinkitties
  1212. RoastMyCat
  1213. curledfeetsies
  1214. Hellenism
  1215. yandere_simulator
  1216. catsareliquid
  1217. trichotillomania
  1218. lazarbeamsubmissions
  1219. dark_humor
  1220. fucksauerkraut
  1221. TheBeatles
  1222. produce
  1223. French
  1224. LilPeep
  1225. GitCommitDie
  1226. u_Brisingr_105
  1227. MarioMaker
  1228. gamingsuggestions
  1229. animation
  1230. FortniteCreative
  1231. ShrineOfFishstick
  1232. FortNiteMobile
  1233. FortniteSwitch
  1234. mariokart
  1235. u_Rodolfo20
  1236. jordancambridge
  1237. emu
  1238. beermoney
  1239. badminton
  1240. vlone
  1241. TimHortons
  1242. Repsneakers
  1243. TakashiMurakami
  1244. stamps
  1245. yeezys
  1246. DesignerReps
  1247. Rabbits
  1248. DesignMyRoom
  1249. LegitCheck
  1250. Hypebeasts
  1251. Bape
  1252. bapeheads
  1253. kaws
  1254. painting
  1255. vintage
  1256. insects
  1257. fossilid
  1258. Crystals
  1259. u_HanzAAli
  1260. PixelPeople
  1261. lifeisnotjust
  1262. RedditTrollss
  1263. notsureifgoodadvice
  1264. speedrun
  1265. gtavmodding
  1266. JJBA
  1267. whoooosh
  1268. Conrandom
  1269. Birbs
  1270. u_trash5652
  1271. BattleJackets
  1272. guitarlessons
  1273. virginvschad
  1274. Ghostbc
  1275. oldinternet
  1276. Moomins
  1277. Shuffles_Deck
  1278. Vent
  1279. Sims4
  1280. ShittyAdverts
  1281. saudiarabia
  1282. stopsmoking
  1283. ProRevenge
  1284. yaris
  1285. carporn
  1286. u_ThePinkPanda205
  1287. MadeOfStyrofoam
  1288. 5sos
  1289. GAAB350
  1290. formuladank
  1291. xqcow
  1292. whatsthisworth
  1293. GenZ
  1294. danduscirclejerk
  1295. andyterracianofanclub
  1296. radicalcentrism
  1297. killthosewhodisagree
  1298. onlinemischief
  1299. aromantic
  1300. u_TheAceOfToasters
  1301. javahelp
  1302. TheArcana
  1303. AquaticAsFuck
  1304. JohnMulaney
  1305. Assistance
  1306. doodles
  1307. sadcats
  1308. April11Gang
  1309. tomodachilife
  1310. Chonkers
  1311. Multicopter
  1312. ElectricSkateboarding
  1313. subaru
  1314. radiocontrol
  1315. Battlecars
  1316. CafeRacers
  1317. Jeep
  1318. AwesomeCarMods
  1319. rccars
  1320. whatsthissnake
  1321. CalamariRaceTeam
  1322. HotWheels
  1323. outrun
  1324. FPVvideos
  1325. PraiseTheCameraMan
  1326. saladsmiles
  1327. MobileGaming
  1328. techhelp
  1329. Competitiveoverwatch
  1330. Boblin
  1331. PlayINGRust
  1332. WarframeRunway
  1333. u_haggartt
  1334. earthbound
  1335. VizzedGames
  1336. OldReposts
  1337. misheard
  1338. area51
  1339. sharktank
  1340. awesome
  1341. u_PragatiBuffett
  1342. mediawiki
  1343. robertdowneyjr
  1344. JoJoMemes
  1345. u_Gameman740
  1346. ExpandDong
  1347. KarmaSacrifice
  1348. Minecraftbuilds
  1349. Foodlottery
  1350. MisfitShitposts
  1351. JellesMarbleRuns
  1352. Marblelympics
  1353. u_Donghoon
  1354. DhruvTheKid
  1355. RushWars
  1356. RicoGang
  1357. The4KMegaBox
  1358. shittybrawlstars
  1359. SmashLand
  1360. Cosmic_Clash
  1361. barleygang
  1362. DrMarioWorld
  1363. Archero
  1364. golfblitz
  1365. TickGang
  1366. NewSkaters
  1367. TheLetterH
  1368. Crushes
  1369. KarmaRoulette
  1370. u_Manasveer
  1371. UnexpectedThanos
  1372. depression_memes
  1373. u_Banapple101
  1374. drphil
  1375. ShittyPhotoshop
  1376. ft86
  1377. iilluminaughtii
  1378. showerthoughs
  1379. TheBrotherhoodofBros
  1380. MyBloodyValentine
  1381. SamandTolki
  1382. radiohead
  1383. radioheadcirclejerk
  1384. rantgrumps
  1385. googletranslate
  1386. ConspiracyGrumps
  1387. shoegaze
  1388. MichaelJackson
  1389. ClubPenguin
  1390. Toontown
  1391. rumney_marsh_academy
  1392. saplings
  1393. Pomade
  1394. playboicarti
  1395. Adorable_Animals
  1396. OverwatchUniversity
  1397. u_IOPasGhoulTrooper
  1398. CitadelOfSkins
  1399. heathernotpleased
  1400. comingout
  1401. ShitFortNiteBRSays
  1402. fortniteparentsclub
  1403. Cello
  1404. Golfwang
  1405. EveryoneIsAMod
  1406. LightModePatrol
  1407. JadenSmith
  1408. SuddenlyHitler
  1409. FilthyFrank
  1410. VeronaNJ
  1411. evilbuildings
  1412. cursedvideos
  1413. danktintinmemes
  1414. AwardSpeechEdits
  1415. AgainstHateSubreddits
  1416. deepweb
  1417. TeenagersTalkPolitics
  1418. shortcels
  1419. CURRENCY
  1420. WarriorCats
  1421. thedawnpatrol
  1422. upvote
  1423. theydidthemonstermath
  1424. u_ii_karmakun_ii
  1425. HumanTippyTaps
  1426. SamePicOfSteveHarvey
  1427. onionhate
  1428. redbubble
  1429. Tennessee
  1430. singapore
  1431. NuclearRevenge
  1432. JUSTNOMIL
  1433. jesuschristreddit
  1434. FlashTV
  1435. LegendsOfTomorrow
  1436. westworld
  1437. boringdystopia
  1438. dankjewishmemes
  1439. crazystories
  1440. calculators
  1441. LatinoPeopleTwitter
  1442. Dachshund
  1443. AdrenalinePorn
  1444. Dance
  1445. u_Santolmo
  1446. hardwaregore
  1447. dankgentina
  1448. fake90skids
  1449. reactionpics
  1450. ImagesYouCanHear
  1451. tf2shitposterclub
  1452. Nightmares
  1453. themonkeysotherpaw
  1454. transpositive
  1455. FifaCareers
  1456. PremierLeague
  1457. spiders
  1458. downvotesreally
  1459. coldshowers
  1460. puppy101
  1461. chanceme
  1462. trackandfield
  1463. architecture
  1464. orlando
  1465. ACT
  1466. YeetingKids
  1467. ParentsAreFuckingDumb
  1468. peopleofwalmart
  1469. donaldtrump
  1470. aethism
  1471. Relatable_RC
  1472. NewVegasMemes
  1473. CursedMinecraft
  1474. Area51memes
  1475. admincraft
  1476. fnv
  1477. humblebundles
  1478. blackmagicdesign
  1479. Crouton
  1480. promotereddit
  1481. itplaysit
  1482. youtubecomments
  1483. Ebay
  1484. gamecollecting
  1485. smashmemes
  1486. Mordhau
  1487. namenerds
  1488. greatpyrenees
  1489. sexyoffbrands
  1490. bottlephilia
  1491. u_limeylucio
  1492. sodapoppin
  1493. feminazi
  1494. yiffinhell
  1495. gravityfallsmemes
  1496. rmeme
  1497. u_I_am_Inevitable_Boi
  1498. awardbrag
  1499. redstone
  1500. Lightmodevsdark
  1501. PunPatrol
  1502. CrazyHand
  1503. e46
  1504. EngineBuilding
  1505. E46M3
  1506. Cartalk
  1507. KarmaConspiracy
  1508. MobileWallpaper
  1509. firstworldanarchists
  1510. Tabs
  1511. apolloapp
  1512. futurama
  1513. puzzles
  1514. SundaraKarma
  1515. Dreamers
  1516. programminghelp
  1517. firebrigade
  1518. drumcorpscirclejerk
  1519. fonts
  1520. OverwatchLeague
  1521. ChurchofFroppy
  1522. webhosting
  1523. Wordpress
  1524. PlantsVSZombies
  1525. StreetOutlaws
  1526. lgv30
  1527. Parents
  1528. MarioMaker2
  1529. TheWeeknd
  1530. u_Mind_The_PePe
  1531. DDLCMods
  1532. parrots
  1533. donthelpjustfilm
  1534. AccidentalRacism
  1535. u_Jimcuchim
  1536. Teachers
  1537. Amberlynn
  1538. TaylorSwift
  1539. UnlockedRedditAds
  1540. GTBAE
  1541. TouchThaFishy
  1542. That70sRetard
  1543. Indiana
  1544. ARK
  1545. shitpostbound
  1546. Philippines
  1547. DoctorBright
  1548. goodboys
  1549. blop
  1550. ThatsWhatSheSaid
  1551. watch_dogs
  1552. unexpectedoffice
  1553. birthofasub
  1554. unexpectedskyrim
  1555. Peopleoftwitch
  1556. ModSupport
  1557. CoolPetNames
  1558. amazonreviews
  1559. TwoRedditorsOneCup
  1560. CameHereToSayThis
  1561. WOSH
  1562. smartwatch
  1563. Reddit69420
  1564. u_Its-Ya-Boi-Satan
  1565. Boomer
  1566. InstaPoliceHere
  1567. FanStorytime
  1568. stories
  1569. bullying
  1570. MachineLearning
  1571. redsox
  1572. PrettyGirls
  1573. ChickenRunsAtMidnight
  1574. LimeOfTheCentury
  1575. SnapLenses
  1576. IRLEasterEggs
  1577. garfield
  1578. OkBubbyRetard
  1579. Ascendedfaketexts
  1580. matt
  1581. Patriots
  1582. nonutnovember
  1583. u_u-u_u-u_u
  1584. HeadphoneAdvice
  1585. SequelMemes
  1586. u_2006pow
  1587. YeetlordYT
  1588. CarlTheHedgehog
  1589. tall
  1590. aftergifted
  1591. EUR_irl
  1592. teenmartialarts
  1593. FostTalicska
  1594. u_Hm_Moonlight
  1595. MildlyVandalised
  1596. PhantomForces
  1597. OfficialSlazo
  1598. AJR
  1599. pokemongotrades
  1600. FreePlatinum
  1601. SnowTheGame
  1602. ggggg
  1603. GayTeensGoneMild
  1604. ruralporn
  1605. CityPorn
  1606. Surface
  1607. flightsim
  1608. AndroidWear
  1609. u_GamerWick
  1610. Myles_is_lonely
  1611. u_lesqie
  1612. UnexpectedHamilton
  1613. ComedySeasoning
  1614. AmateurPhotography
  1615. oldpeoplefacebook
  1616. Ticos
  1617. LemonySnicket
  1618. accidentalswastica
  1619. VACCINES
  1620. nealstephenson
  1621. sexualhealth
  1622. Forgotten_Realms
  1623. makeaband
  1624. AskLosAngeles
  1625. musicians
  1626. Guiltygear
  1627. MyHeroAcademiaRPG
  1628. AdventurersLeague
  1629. sallyface
  1630. TikTokCringe
  1631. darkmemes
  1632. EntitledBitch
  1633. Trufemcels
  1634. sad
  1635. PanPorn
  1636. BeautyBoxes
  1637. Ipsy
  1638. u_cottonorwool
  1639. pcmusic
  1640. intermittentfasting
  1641. angry
  1642. socialanxiety
  1643. u_Jumpspider74
  1644. cowboys
  1645. Mavericks
  1646. dolphinconspiracy
  1647. rule34
  1648. ImaginaryHorrors
  1649. DarkDeception
  1650. fuckea
  1651. u_pupperoni-421
  1652. coloringcorruptions
  1653. fbla
  1654. Amd
  1655. ChivalryGame
  1656. DrDisrespectLive
  1657. intel
  1658. esports
  1659. G502MasterRace
  1660. drumcorps
  1661. HeartHorny
  1662. u_crusty_bread_crust
  1663. holesome
  1664. oddlypacific
  1665. maths
  1666. demons
  1667. Physics
  1668. MusicianTeens
  1669. teenagerswithoutrules
  1670. DontPutItInYourAss
  1671. vro
  1672. traadustCrusaders
  1673. yugioh
  1674. BleachBraveSouls
  1675. okayfacebookmemes
  1676. realdonald_forreal
  1677. berserklejerk
  1678. Berserk
  1679. mangarockapp
  1680. MotorcyclePorn
  1681. ExNoContact
  1682. forza
  1683. Thunder
  1684. nbacirclejerk
  1685. ShitMomGroupsSay
  1686. strangehabits
  1687. madladcrusaders
  1688. u_ThatBoi1994
  1689. RedDeadOnline
  1690. u_WitnessMe015
  1691. communism
  1692. AgeplayPenPals
  1693. Poem_for_your_sprog
  1694. Polytopia
  1695. KingdomsandCastles
  1696. u_tarka_d0_sera
  1697. catfaceplant
  1698. AskQuija
  1699. educationalgifs
  1700. Rubiks_Cubes
  1701. u_WCon69
  1702. PoliticalMemes
  1703. Corridor
  1704. postprocessing
  1705. askspain
  1706. Svenska
  1707. buffy
  1708. newjersey
  1709. succulents
  1710. learnspanish
  1711. kimbra
  1712. blackmirror
  1713. john
  1714. asklaw
  1715. CardiB
  1716. ForeverAloneDating
  1717. BruceCampbell
  1718. deadrising
  1719. police
  1720. thebeachboys
  1721. LeavingNeverlandLies
  1722. LeavingNeverlandHBO
  1723. LeavingNeverland
  1724. ForeverAlone
  1725. DownRightAwesome
  1726. ThanosMC
  1727. BigBirdCult
  1728. Fantaisgood
  1729. letsbone
  1730. SuddenlyAnimalAbuse
  1731. G59
  1732. Bexey
  1733. Tupac
  1734. bangladesh
  1735. bodybuilding
  1736. GymMemes
  1737. CowbellyTV
  1738. u_canineswine
  1739. TeenStyle
  1740. short
  1741. BossfightUniverse
  1742. WallpaperRequests
  1743. ibxtoycat
  1744. toycat
  1745. RareEmojis
  1746. expectedSpaceBalls
  1747. shittymcsuggestions
  1748. PokemonGOMemes
  1749. grandayy
  1750. grandpajoehate
  1751. deadmeatmemes
  1752. FanTheories
  1753. CrusadeMemes
  1754. redneckelonmusk
  1755. canconfirmimanaussie
  1756. unexpectedtfs
  1757. SubsIWishWereReal
  1758. iFunny
  1759. wallpapers
  1760. rasdash
  1761. opensource
  1762. raspberry_pi
  1763. grandrapids
  1764. thegrandtour
  1765. DeepFriedLinuxMemes
  1766. Michigan
  1767. Spongebuntu
  1768. Health
  1769. stylish
  1770. supercars
  1771. Autos
  1772. StuffOnCats
  1773. 2healthbars
  1774. mazda
  1775. amishadowbanned
  1776. toronto
  1777. canada
  1778. freevbucks
  1779. AntiAntiAntiAntiJokes
  1780. antiantiantijokes
  1781. Birthdaytwins
  1782. mildyinteresting
  1783. yesyesyesyesyesnoyes
  1784. tifurb
  1785. RoastMyHistory
  1786. badpuns
  1787. Rainforest
  1788. u_EnderCreep72
  1789. TheOutsiders
  1790. JohnWick
  1791. starbase
  1792. GTA
  1793. bully
  1794. MMA
  1795. karate
  1796. india
  1797. StreetFights
  1798. NoglaOfficial
  1799. burgers
  1800. PeterExplainsTheJoke
  1801. amateur_boxing
  1802. Jasiah
  1803. travisscott
  1804. FortnitePhotography
  1805. LilNasX
  1806. FortniteLeaks
  1807. CallMeKevin
  1808. Idubbbz
  1809. memesofthedank
  1810. u_nibbapusspuss69
  1811. FloridaMemes
  1812. Avengers
  1813. cursedjojo
  1814. Csgohacks
  1815. u_insane_playzYT
  1816. SimplyFortnite
  1817. TeachersRFuckingDum
  1818. django
  1819. amipregnant
  1820. IncelTeens
  1821. fuck_r_teenagers
  1822. wherestheredcircle
  1823. MURICA
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Why is forex trading a zero sum game? Forex Game - Trading for beginners. Game Theory and Market Structures How To Learn Forex Trading With The Trading Game App ... Wave Theory - Forex Trading Course - YouTube

Game theory: 8 games for traders Michael McFarlin. June 04, 2014 . 03:42 AM Beyond Monopoly. Trading has a lot of similarities to playing games. Although at first blush this sentiment can seem ... The Game of Probabilities in Forex Trading dependents on the position of the currency market. Either the cost is more likely to be in your favour or not. The ability to identify areas on a chart that are most likely to succeed in business is skill As trader, our goal is not to believe that we can forecast the next irrational reaction to future news we can’t predict but to create a system ... Game Theory was founded by mathematician John Nash in 1950s, and it is now considered as the science of strategy. Today, game theory has a big role in economy and business. Companies use game theory in real-world scenarios for such situations as pricing competition and product releases. You will be updated on how the “Game” will change step by step and how to react according, so you can learn how to apply Game Theory in live trading. When indices (STI, HSI, Dow, S&P500, Shanghai SSE, etc) offer trading opportunities according to Game Theory, you will also be notified with a detailed trading plan in terms of index-related tools such as index futures, CFD, etc. 2. Benefits of game theory. Decision analysis forms a part of game theory and allows those operating or forming part of a business to detect the moves of others as well as make the most well-rounded decisions for their own well-being. Game theory can be used in countless fields of business. It can be useful to consider with auction tactics ... Forex: Pairs YOU should AVOID like the plague if you are a Beginner (and what are the best?) Forex: The ONE Thing You MUST Have To Be A WEALTHY Trader… How To Make $500 Day Trading the Stock Market (Day Trading Strategy) How To Make $500+ Day trading The Stock Market In 2020 ( Step by Step ) “Game Theory is the study of mathematical models of strategic interaction among rational decision-makers” – Wiki. Basically a calculated approach to a game of 2 or more people where there are rewards and risks at play. In Forex trading, we can almost bet on newbie traders being irrational. Making it very predictable behavior and in a sense “rational”. Stick with me here… The Game Theory is way too complex and not realistic in financial modeling. I’d suggest that the best proof of a static edge in the market that is being exploited by professionals, is understanding how human beings (amateurs in the context of this thread) are very irrational and inefficient decision makers. This in my opinion has more to do with Behaviour Finance and Prospect Theory, rather ... Does anyone have any good resources for game theory application to forex, or ways in which it features in their own trading? 8 comments. share. save hide report. 85% Upvoted. This thread is archived. New comments cannot be posted and votes cannot be cast. Sort by . best. level 1. 2 points · 3 years ago. Haven't used it but I'd be interested to know more about it. Thanks for the links! level 2 ... Game theory memiliki beragam aplikasi, termasuk psikologi, biologi evolusi, perang, politik, ekonomi, dan bisnis. Meskipun banyak kemajuannya, game theory masih merupakan ilmu yang masih muda dan berkembang. Sekilas Fakta: Menurut game theory, tindakan dan pilihan semua peserta mempengaruhi hasil masing-masing. Definisi Game theory

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Why is forex trading a zero sum game?

Why is Forex trading a zero-sum game? Forex is indeed a zero-sum game in the sense that for the vast majority of trades on the Forex market, your gains are the losses of other traders and your ... Wave Theory - Forex Trading Course to provide you the knowledge to be able to analyse and trade the forex market. At EWPRO we will teach you how analyse the ... Game Theory Intro - The Prisoner's ... The Quarters Theory in Forex Trading 🌛 - Duration: 7:27. UKspreadbetting 12,653 views. 7:27. Probability Theory Why You should NOT Day Trade nor Gamble ... How to Trade Forex Using MetaTrader 4. Make Money From Your Phone! MT4 Walkthrough. - Duration: 15:01. RockStarrFX 483,354 views I highly recommend to Learn the Basics with this super cool Forex Trading App. It breaks down the forex signals as well as the technical analysis in order fo...

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