Buy Stop Limit and Sell Stop Limit Orders on MT4 Forex ...

[Secret] Response to the Oil Embargo Part 2: Retaliation, Covert and Chaotic

While overt operations will play a role in the retaliation, some more covert ones are needed. For these more... illegal... operations, we will have to take a different approach.

North Korea: Cyberwar, Inc.
North Korea has a well-established cyberwar capability and has recently begun selling its services to third parties. One of those third parties is about to become us, and we're going to buy out the entire shop, consisting of thousands of highly trained North Korean hackers. Are they the best, no, of course not--they are, after all, still North Korean. They certainly aren't as good as what we have in-house, even though they're surprisingly skilled all things considered. But they're extra talent, and talent with no official connections to China, and that's what counts here.

At whatever exorbitant price that North Korea charges [we've budgeted up to $500 million, and they will get to keep whatever they steal] we're siccing every trained hacker they have on what we view as the mastermind behind these plots, the United Arab Emirates [M: Even though we don't know the contents of the closed diplo, it's not hard to come to that conclusion given that Saudi Arabia is in a civil war, the UAE leads the GCC which is leading the embargo, and it has rejected our peace offerings and stated that we are an existential threat--also, assaulting the UAE is likely to spook the other participants who are in a much more frail situation].

Attacks will aim to be diverse and encompass the entire spectrum, with one exception, which we will do. Chinese experts will provide advice and limited intelligence and cyber-reconnaissance, but will not openly involve themselves in the operations, taking especial care to ensure that they don't touch the code the North Koreans are working on. We will maintain only a very high-level management, leaving precise means, targets, and so on to the North Koreans.

In addition, we'll ask the North Koreans to recruit criminal hacker groups across the globe to join on to this effort, with the North Koreans receiving additional payouts for every other criminal hacking group they bring onboard that has been verified by Chinese intelligence as actually existing [we don't trust the North Koreans that much, especially when money is on the line].

Targets are the following, in order of priority:

UAE Foreign Exchange Reserves and Sovereign Wealth Fund:
By far the most valuable target on the list for North Korea, the UAE's forex reserves are worth about $100 billion, and the sovereign wealth funds of the Emirates are valued at as much as $1 trillion. North Korean hackers will launch an all-out assault aiming to steal as much of this money as possible, destroying it if they must but, we imagine, preferably transferring it to North Korean accounts. Attacks via SWIFT like those conducted by North Korea in 2015-16 are possible--those attacks amounted to hundreds of millions of dollars in losses. We doubt that North Korea will be able to steal that much of this pile, especially given the fact that the UAE has an army of ex-Western cyberwarriors of its own, but even a relatively small quantity would be a significant psychological injury and would degrade global trust in the UAE.

Vital Infrastructure:
North Korea will target key pieces of infrastructure in the UAE. In particular, they will target the following facilities and attempt to force them offline. Even though the individual attacks won't do much damage, the cumulative impact will scare the public, damage investor confidence, and drive money out of the UAE.

Influential Figures And Government Officials:
North Korean hackers will also target the personal devices of government officials and influential figures in the UAE, especially politicians, military commanders, and media types. They will then leak anything remotely incriminating to the global media, possibly via Wikileaks or another such site of ill repute.

In addition, for particularly important government officials, North Korea will be commissioned to produce deepfakes with which it will flood social media. These will mostly focus on baseless conspiracy theories and personal slanders, for instance, catching a top official on mike confessing to being a devil-worshiper, or portraying a popular imam as being with Western prostitutes.

It is hoped that these operations will cause enough domestic trouble in the UAE that they will concede on the point of the oil embargo. If nothing else, though, they should keep the UAE distracted while we move elsewhere.
submitted by AmericanNewt8 to Geosim [link] [comments]

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

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

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

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]

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:
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,
" 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.
America - From Freedom to Fascism The Money Masters Monopoly Men (below video):
submitted by CuteBananaMuffin to conspiracy [link] [comments]

What factors predict the success of a Steam game? (An analysis)

What factors predict the success of a Steam game?

I've seen quite a few discussions, comments and questions on /gamedev about what determines a game's success. How much does quality matter? Is establishing market awareness before launch the only thing that matters? Does a demo help or hurt? If your game has a poor launch, how likely is it to recover? Is it possible to roughly predict the sales of a game before launch?
In preparation for my game's launch, I spent a lot of time monitoring upcoming releases trying to find the answer to these questions. I compiled a spreadsheet, noted followers, whether it was Early Access or not, and saw how many reviews it received in the first week, month and quarter.
I'm sharing this data now in the hopes that it helps other developers understand and predict their games' sales.
First some notes on the data:
Game Price Launch Discount Week Guess Week actual 3 Month 3 Month/week Followers Early Access Demo Review Score
Pit of Doom 9.99 0 7 27 43 1.592592593 295 Y N 0.8
Citrouille 9.99 0.2 16 8 12 1.5 226 N N
Corspe Party: Book 14.99 0.1 32 40 79 1.975 1015 N N 0.95
Call of Cthulhu 44.99 0 800 875 1595 1.822857143 26600 N N 0.74
On Space 0.99 0.4 0 0 0 4 N N
Orphan 14.99 0 50 0 8 732 N N
Black Bird 19.99 0 20 13 34 2.615384615 227 N N
Gloom 6.99 0 20 8 17 2.125 159 N N
Gilded Rails 5.99 0.35 2 3 7 2.333333333 11 N Y
The Quiet Man 14.99 0.1 120 207 296 1.429951691 5596 N N 0.31
KartKraft 19.99 0.1 150 90 223 2.477777778 7691 Y N 0.84
The Other Half 7.99 0 2 3 27 9 91 N Y 0.86
Parabolus 14.99 0.15 0 0 0 16 N Y
Yet Another Tower Defense 1.99 0.4 20 22 38 1.727272727 396 N N 0.65
Galaxy Squad 9.99 0.25 8 42 5.25 3741 Y N 0.87
Swords and Soldiers 2 14.99 0.1 65 36 63 1.75 1742 N N 0.84
SpitKiss 2.99 0 3 1 2 2 63 N N
Holy Potatoes 14.99 0 24 11 22 2 617 N N 0.7
Kursk 29.99 0.15 90 62 98 1.580645161 2394 N N 0.57
SimpleRockets 2 14.99 0.15 90 142 272 1.915492958 3441 Y N 0.85
Egress 14.99 0.15 160 44 75 1.704545455 7304 Y N 0.67
Kynseed 9.99 0 600 128 237 1.8515625 12984 Y N 0.86
11-11 Memories 29.99 0 30 10 69 6.9 767 N N 0.96
Rage in Peace 12.99 0.1 15 10 42 4.2 377 N N 0.85
One Hour One Life 19.99 0 12 153 708 4.62745098 573 N N 0.81
Optica 9.99 0 0 2 3 1.5 18 N N
Cybarian 5.99 0.15 8 4 18 4.5 225 N N
Zeon 25 3.99 0.3 3 11 12 1.090909091 82 Y N
Of Gods and Men 7.99 0.4 3 10 18 1.8 111 N Y
Welcome to Princeland 4.99 0.1 1 15 55 3.666666667 30 N N 0.85
Zero Caliber VR 24.99 0.1 100 169 420 2.485207101 5569 Y N 0.73
HellSign 14.99 0 100 131 334 2.549618321 3360 Y N 0.85
Thief Simulator 19.99 0.15 400 622 1867 3.001607717 10670 N N 0.81
Last Stanza 7.99 0.1 8 2 4 2 228 N Y
Evil Bank Manager 11.99 0.1 106 460 4.339622642 8147 Y N 0.78
Oppai Puzzle 0.99 0.3 36 93 2.583333333 54 N N 0.92
Hexen Hegemony 9.99 0.15 3 1 5 5 55 Y N
Blokin 2.99 0 0 0 0 0 10 N N
Light Fairytale Ep 1 9.99 0.1 80 23 54 2.347826087 4694 Y N 0.89
The Last Sphinx 2.99 0.1 0 0 1 0 17 N N
Glassteroids 9.99 0.2 0 0 0 0 5 Y N
Hitman 2 59.99 0 2000 2653 3677 1.385978138 52226 N N 0.88
Golf Peaks 4.99 0.1 1 8 25 3.125 46 N N 1
Sipho 13.99 0 24 5 14 2.8 665 Y N
Distraint 2 8.99 0.1 40 104 321 3.086538462 1799 N N 0.97
Healing Harem 12.99 0.1 24 10 15 1.5 605 N N
Spark Five 2.99 0.3 0 0 0 0 7 N N
Bad Dream: Fever 9.99 0.2 30 78 134 1.717948718 907 N N 0.72
Underworld Ascendant 29.99 0.15 200 216 288 1.333333333 8870 N N 0.34
Reentry 19.99 0.15 8 24 78 3.25 202 Y N 0.95
Zvezda 5.99 0 2 0 0 0 25 Y Y
Space Gladiator 2.99 0 0 1 2 2 5 N N
Bad North 14.99 0.1 500 360 739 2.052777778 15908 N N 0.8
Sanctus Mortem 9.99 0.15 3 3 3 1 84 N Y
The Occluder 1.99 0.2 1 1 1 1 13 N N
Dark Fantasy: Jigsaw 2.99 0.2 1 9 36 4 32 N N 0.91
Farming Simulator 19 34.99 0 1500 3895 5759 1.478562259 37478 N N 0.76
Don't Forget Our Esports Dream 14.99 0.13 3 16 22 1.375 150 N N 1
Space Toads Mayhem 3.99 0.15 1 2 3 1.5 18 N N
Cattle Call 11.99 0.1 10 19 53 2.789473684 250 Y N 0.71
Ralf 9.99 0.2 0 0 2 0 6 N N
Elite Archery 0.99 0.4 0 2 3 1.5 5 Y N
Evidence of Life 4.99 0 0 2 4 2 10 N N
Trinity VR 4.99 0 2 8 15 1.875 61 N N
Quiet as a Stone 9.99 0.1 1 1 4 4 42 N N
Overdungeon 14.99 0 3 86 572 6.651162791 77 Y N 0.91
Protocol 24.99 0.15 60 41 117 2.853658537 1764 N N 0.68
Scraper: First Strike 29.99 0 3 3 15 5 69 N N
Experiment Gone Rogue 16.99 0 1 1 5 5 27 Y N
Emerald Shores 9.99 0.2 0 1 2 2 12 N N
Age of Civilizations II 4.99 0 600 1109 2733 2.464382326 18568 N N 0.82
Dereliction 4.99 0 0 0 0 #DIV/0! 18 N N
Poopy Philosophy 0.99 0 0 6 10 1.666666667 6 N N
NOCE 17.99 0.1 1 3 4 1.333333333 35 N N
Qu-tros 2.99 0.4 0 3 7 2.333333333 4 N N
Mosaics Galore. Challenging Journey 4.99 0.2 1 1 8 8 14 N N
Zquirrels Jump 2.99 0.4 0 1 4 4 9 N N
Dark Siders III 59.99 0 2400 1721 2708 1.573503777 85498 N N 0.67
R-Type Dimensions Ex 14.99 0.2 10 48 64 1.333333333 278 N N 0.92
Artifact 19.99 0 7000 9700 16584 1.709690722 140000 N N 0.53
Crimson Keep 14.99 0.15 20 5 6 1.2 367 N N
Rival Megagun 14.99 0 35 26 31 1.192307692 818 N N
Santa's Workshop 1.99 0.1 3 1 1 1 8 N N
Hentai Shadow 1.99 0.3 2 12 6 14 N N
Ricky Runner 12.99 0.3 3 6 13 2.166666667 66 Y N 0.87
Pro Fishing Simulator 39.99 0.15 24 20 19 0.95 609 N N 0.22
Broken Reality 14.99 0.1 60 58 138 2.379310345 1313 N Y 0.98
Rapture Rejects 19.99 0 200 82 151 1.841463415 9250 Y N 0.64
Lost Cave 19.99 0 3 8 11 1.375 43 Y N
Epic Battle Fantasy 5 14.99 0 300 395 896 2.26835443 4236 N N 0.97
Ride 3 49.99 0 75 161 371 2.304347826 1951 N N 0.74
Escape Doodland 9.99 0.2 25 16 19 1.1875 1542 N N
Hillbilly Apocalypse 5.99 0.1 0 1 2 2 8 N N
X4 49.99 0 1500 2638 4303 1.63115997 38152 N N 0.7
Splotches 9.99 0.15 0 2 1 0.5 10 N N
Above the Fold 13.99 0.15 5 2 6 3 65 Y N
The Seven Chambers 12.99 0.3 3 0 0 #DIV/0! 55 N N
Terminal Conflict 29.99 0 5 4 11 2.75 125 Y N
Just Cause 4 59.99 0 2400 2083 3500 1.680268843 50000 N N 0.34
Grapple Force Rena 14.99 0 11 12 29 2.416666667 321 N Y
Beholder 2 14.99 0.1 479 950 1.983298539 16000 N N 0.84
Blueprint Word 1.99 0 12 15 1.25 244 N Y
Aeon of Sands 19.99 0.1 20 12 25 2.083333333 320 N N
Oakwood 4.99 0.1 32 68 2.125 70 N N 0.82
Endhall 4.99 0 4 22 42 1.909090909 79 N N 0.84
Dr. Cares - Family Practice 12.99 0.25 6 3 8 2.666666667 39 N N
Treasure Hunter 16.99 0.15 200 196 252 1.285714286 4835 N N 0.6
Forex Trading 1.99 0.4 7 10 14 1.4 209 N N
Ancient Frontier 14.99 0 24 5 16 3.2 389 N N
Fear the Night 14.99 0.25 25 201 440 2.189054726 835 Y N 0.65
Subterraneus 12.99 0.1 4 0 3 #DIV/0! 82 N N
Starcom: Nexus 14.99 0.15 53 119 2.245283019 1140 Y N 0.93
Subject 264 14.99 0.2 25 2 3 1.5 800 N N
Gris 16.9 0 100 1484 4650 3.133423181 5779 N N 0.96
Exiled to the Void 7.99 0.3 9 4 11 2.75 84 Y N
Column Explanations
For the columns that are not self-explanatory:

Question 1: Does Quality Predict Success?

There was a recent blog post stating that the #1 metric for indie games' success is how good it is.
Quality is obviously a subjective metric. The most obvious objective measure of quality for Steam games is their % Favorable Review score. This is the percentage of reviews by purchasers of the game that gave the game a positive rating. I excluded any game that did not have at least 20 user reviews in the first month, which limited the sample size to 56.
The (Pearson) correlation of a game's review score to its number of reviews three months after its release was -0.2. But 0.2 (plus or minus) isn't a very strong correlation at all. More importantly, Pearson correlation can be swayed if the data contains some big outliers. Looking at the actual games, we can see that the difference is an artifact of an outlier. Literally. Valve's Artifact by far had the most reviews after three months and had one of the lowest review scores (53% at the time). Removing this game from the data changed the correlation to essentially zero.
Spearman's Rho, an alternative correlation model that correlates rank position and minimizes the effect of huge outliers produced a similar result.
Conclusion: If there is correlation between a game's quality (as measured by Steam review score) and first quarter sales (as measured by total review count), it is too subtle to be detected in this data.

Question 2: Do Demos, Early Access or Launch Discounts Affect Success/Failure?

Unfortunately, there were so few games that had demos prior to release (10) that only a very strong correlation would really tell us anything. As it happens, there was no meaningful correlation one way or another.
There were more Early Access titles (28), but again the correlation was too small to be meaningful.
More than half the titles had a launch week discount and there was actually a moderate negative correlation of -0.3 between having a launch discount and first week review count. However it appears that this is primarily the result of the tendency of AAA titles (which sell the most copies) to not do launch discounts. Removing the titles that likely grossed over a $1 million in the first week reduced the correlation to basically zero.
Conclusion: Insufficient data. No clear correlation between demos, Early Access or launch discount and review counts: if they help or hurt the effect is not consistent enough to be seen here.

Question 3: Does pre-launch awareness (i.e., Steam followers) predict success?

You can see the number of "followers" for any game on Steam by searching for its automatically-created Community Group. Prior to launch, this is a good rough indicator of market awareness.
The correlation between group followers shortly before launch and review count at 3 months was 0.89. That's a very strong positive correlation. The rank correlation was also high (0.85) suggesting that this wasn't the result of a few highly anticipated games.
Save for a single outlier (discussed later), the ratio of 3 month review counts to pre-launch followers ranged from 0 (for the handful of games that never received any reviews) to 1.8, with a median value of 0.1. If you have 1000 followers just prior to launch, then at the end of the first quarter you should expect "about" 100 reviews.
One thing I noticed was that there were a few games that had follower counts that seemed too high compared to secondary indicators of market awareness, such as discussion forum threads and Twitter engagement. After some investigation I came to the conclusion that pre-launch key activations are treated as followers by Steam. If a game gave away a lot of Steam keys before launch (say as Kickstarter rewards or part of beta testing) this would cause the game to appear to have more followers than it had gained "organically."
Conclusion: Organic followers prior to launch are a strong predictor of a game's eventual success.

Question 4: What about price?

The correlation between price and review count at 3 month is 0.36, which is moderate correlation. I'm not sure how useful that data point is: it is somewhat obvious that higher budget games have larger marketing budgets.
There is a correlation between price and review score of -0.41. It seems likely that players do factor price into their reviews and a game priced at $60 has a higher bar to clear to earn a thumbs up review than a game priced at $10.

Question 5: Do first week sales predict first quarter results?

The correlation between number of reviews after 1 week and number of reviews after 3 months was 0.99. The Spearman correlation was 0.97. This is the highest correlation I found in the data.
Excluding games that sold very few copies (fewer than 5 reviews after the first week), most games had around twice as many reviews after 3 months as they did after 1 week. This suggests that games sell about as many copies in their first week as they do in the next 12 weeks combined. The vast majority of games had a tail ratio (ratio of reviews at 3 months to 1 week) of between 1.3 to 3.2.
I have seen a number of questions from developers whose game had a poor launch on Steam and wanted to know what they can do to improve sales. While I'm certain post-launch marketing can have an effect on continuing sales, your first week does seem to set hard bounds on your results.

Question 6: Does Quality Help with a Game's "Tail"?

As discussed in the last question while first week sales are very strongly correlated with first quarter, there's still quite a wide range of ratios. Defining a game's Tail Ratio as the ratio of reviews after 3 months to after 1 week, the lowest value was 0.95 for "Pro Fishing Simulator" which actually managed to lose 1 review. The highest ratio was 6.9, an extreme outlier that I'll talk about later. It is perhaps not a coincidence that the worst tail had a Steam score of 22% and the best tail had a Steam score of 96%.
The overall correlation between the Tail Ratio and Steam score was 0.42.
Conclusion: Even though there is no clear correlation between quality and overall review count/sales, there is a moderate correlation between a game's review score and its tail. This suggests that "good games" do better in the long run than "bad games," but the effect is small compared to the more important factor of pre-launch awareness.

Question 7: Is it possible to predict a game's success before launch without knowing its wishlists?

While I was compiling the data for each game, sometime prior to its scheduled launch date, I would make a prediction of how many reviews I thought it would receive in its first week and add that prediction to the spreadsheet.
The #1 factor I used in making my prediction was group follower count. In some cases I would adjust my prediction if I thought that value was off, using secondary sources such as Steam forum activity and Twitter engagement.
The correlation between my guess and the actual value was 0.96, which is a very strong correlation. As you can see in the data, the predictions are, for the most part, in the right ballpack with a few cases where I was way off.
Based on my experience, multiplying the group follower count by 0.1 will, in most cases, give you a ballpark sense of the first week quarter review count. If a game doesn't have at least one question in the discussion forum for every 100 followers, that may indicate that there are large number of "inorganic" followers and you may need to adjust your estimate.
Conclusion: Yes, with a few exceptions, using follower data and other indicators you can predict first week results approximately. Given the strong correlation between first week and quarter sales, it should also be possible to have a ballpark idea of first quarter results before launch.

Final Question: What about the outliers you mentioned?

There were a few games in the data that stood out significantly in one way or another.
Outlier #1: Overdungeon. This game had 77 group followers shortly before launch, a fairly small number and based solely on that number I would have expected fewer than a dozen reviews in the first week. It ended up with 86. Not only that, it had a strong tail and finished its first quarter with 572 reviews. This was by a wide margin the highest review count to follower ratio in the sample.
Based on the reviews, it appears to basically be Slay the Spire, but huge in Asia. 90% of the reviews seem to be in Japanese or Chinese. If anyone has some insight to this game's unusual apparent success, I'm very curious.
This seems to be the only clear example in the data of a game with minimal following prior to launch going on to having a solid first quarter.
Outlier #2: 11-11 Memories Retold. This game had 767 group followers shortly before launch, ten times as many as Overdungeon. That's still not a large number for even a small indie title. It had a fair amount going for it, though: it was directed by Yoan Fanise, who co-directed the critally acclaimed Valiant Hearts, a game with a similar theme. It was animated by Aardman Studios of "Wallace and Gromit" fame. Its publisher was Bandai Namco Europe, a not inexperienced publisher. The voice acting was by Sebastian Koch and Elijah Wood. It has dozens of good reviews in both gaming and traditional press. It currently has a 95% positive review rating on Steam.
Despite all that, nobody bought it. 24 hours after it came out it had literally zero reviews on Steam. One week after it came out it had just 10. Three months later it had demonstrated the largest tail in the data, but even then it had only climbed to 69 reviews. Now it's at about 100, an incredible tail ratio, but almost certainly a commercial failure.
This is a solid example that good game + good production values does necessarily equal good sales.

Final notes:
The big take-aways from this analysis are:
Thanks for reading!
submitted by justkevin to gamedev [link] [comments]

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