How to Read Forex Charts: What Beginners Need To Know

Trading economic news

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

How economic news is released

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

How the news affects forex markets

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

Backtesting

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

Make it real

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

If you have been ruined or your own business or factory is a wreck now you have to know about Forex Factory which comprises Forex online trades. It is your chance to complete all the problems you have got, it is your way to bring home bacon, it is your path to make up your job and deal with money, it is your aim to get what you want – luxury apartments, sport car or something you want, it is your sort of business if you are in luck. You have to know some differences between Forex online trades and other online business kinds. Today you will be provided with ones and in addition you will see why you have to set up your Forex account and why you have to know what Forex trial and real accounts are.
1) Forex online is not like other online business or just another factory, and you have to realize it since the first day you are with Forex trades. Forex is your way to deal with money – yes, this is the truth. You see there is too much gossips around Forex trades. There are many swindlers who want to learn your out and at the same time to make you stand outside. You have to be careful anytime – if you are with Forex trades or you are with other types of Trades. What is Forex and why you have to set up it?
2) Forex online as a market was build as the firm foundation of financial systems an trades. You may be know that Forex trades became popular some years ago. To get the motivation and aim why you have to deal with Forex online trades look for the data in the world wide web. You have to look for people who have gathered millions with the help of trades, you also have to look for the ones who have lost all the money they had got. Why should you? You will get good and bad experience and you will be experienced with the Forex trades – at once when you are just a beginner.
3) Do not think there are just your enemies in the Forex trades. You are able to deal with your partners, if you are easygoing – you will be able to make even friends. You have to know Forex online is full of people and communities which are able to help you, to give you a real advice in case you need it. There is much to be said for Forex trades but we can not tell you everything -from A to Z just in one article.
If you want to be sure you are in luck, if you want to gather more that your salary just now – click this link to get blogs, spots and what you want to know better about Forex trades!
If you have been ruined or your own business or factory is a wreck now you have to know about Forex Factory which comprises Forex online trades. It is your chance to complete all the problems you have got, it is your way to bring home bacon, it is your path to make up your job and deal with money, it is your aim to get what you want – luxury apartments, sport car or something you want, it is your sort of business if you are in luck. You have to know some differences between Forex online trades and other online business kinds. Today you will be provided with ones and in addition you will see why you have to set up your Forex account and why you have to know what Forex trial and real accounts are.
1) Forex online is not like other online business or just another factory, and you have to realize it since the first day you are with Forex trades. Forex is your way to deal with money – yes, this is the truth. You see there is too much gossips around Forex trades. There are many swindlers who want to learn your out and at the same time to make you stand outside. You have to be careful anytime – if you are with Forex trades or you are with other types of Trades. What is Forex and why you have to set up it?
2) Forex online as a market was build as the firm foundation of financial systems an trades. You may be know that Forex trades became peopular some years ago. To get the motivation and aim why you have to deal with Forex online trades look for the data in the world wide web. You have to look for people who have gathered millions with the help of trades, you also have to look for the ones who have lost all the money they had got. Why should you? You will get good and bad experience and you will be experienced with the Forex trades – at once when you are just a beginner.
3) Do not think there are just your enemies in the Forex trades. You are able to deal with your partners, if you are easygoing – you will be able to make even friends. You have to know Forex online is full of people and communities which are able to help you, to give you a real advice in case you need it. There is much to be said for Forex trades but we can not tell you everything -from A to Z just in one article.
If you want to be sure you are in luck, if you want to gather more that your salary just now – click this link to get blogs, spots and what you want to know better about Forex trades!
If you are looking for productive forex trader – please make sure to read the review of the activity of this profitable forex trader, before buying any.
It is obligatory to read reviews before you invest money into the activity of forex trader. This is important, don’t forget that we are living in the world where info makes life easier.
Due to this if you are properly armed with the knowledge in your topic you can be sure that you will always find the way out from any bad situation. So, please make sure to track this web site on a regular basis or – best of all – sign up to its RSS. In such an easy way you will have a direct shortcut to the latest info updates here. Blogging can be helpful, you just need to know how to use blogging for the currency exchange market.
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[Not my post] The Structure of Forex Brokers

Originally posted by Darkstar at Forex Factory.
Disclaimer: I did not write this. I found this post on ForexFactory written by a user called DarkStar, which I believe a lot of redditors will benefit from reading.
________________________________________________________________________________________________________
There has been much discussion of late regarding borker spreads and liquidity. Many assumptions are being made about why spreads are widened during news time that are built on an incomplete knowledge of the architecture of the forex market in general. The purpose of this article is to dissect the market and hopefully shed some light on the situation so that a more rational and productive discussion can be undertaken by the Forex Factory members.
We will begin with an explanation of the purpose of the Forex market and how it is utilized by its primary participants, expand into the structure and operation of the market, and conclude with the implications of this information for speculators. With that having been said, let us begin.
Unlike the various bond and equity markets, the Forex market is not generally utilized as an investment medium. While speculation has a critical role in its proper function, the lion’s share of Forex transactions are done as a function of international business.
The guy who buys a shiny new Eclipse more then likely will pay for it with US Dollars. Unfortunately Mitsubishi’s factory workers in Japan need to get their paychecks denominated in Yen, so at some point a conversion needs to be made. When one considers that companies like Exxon, Boeing, Sony, Dell, Honda, and thousands of other international businesses move nearly every dollar, real, yen, rubble, pound, and euro they make in a foreign country through the Forex market, it isn’t hard to understand how insignificant the speculative presence is; even in a $2tril per day market.
By and large, businesses don’t much care about the intricacies of exchange rates, they just want to make and sell their products. As a central repository of a company’s money, it was only natural that the banks would be the facilitators of these transactions. In the old days it was easy enough for a bank to call a foreign bank (or a foreign branch of ones own bank) and swap the stockpiles of currency each had accumulated from their many customers.
Just as any business would, the banks bought the foreign currency at one rate and marked it up before selling it to the customer. With that the foreign exchange spread was born. This was (and still is) a reasonable cost of doing business. Mitsubishi can pay its customers and the banks make a nice little profit for the hassle and risks associated with moving around the currency.
As a byproduct of transacting all this business, bank traders developed the ability to speculate on the future of currency rates. Utilizing a better understanding of the market, a bank could quote a business a spread on the current rate but hold off hedging until a better one came along. This process allowed the banks to expand their net income dramatically. The unfortunate consequence was that liquidity was redistributed in a way that made certain transactions impossible to complete.
It was for this reason and this reason alone that the market was eventually opened up to non-bank participants. The banks wanted more orders in the market so that a) they could profit from the less experienced participants, and b) the less experienced participants could provide a better liquidity distribution for execution of international business hedge orders. Initially only megacap hedge funds (such as Soros’s and others) were permitted, but it has since grown to include the retail brokerages and ECNs.

Market Structure:
Now that we have established why the market exists, let’s take a look at how the transactions are facilitated:
The top tier of the Forex market is transacted on what is collectively known as the Interbank. Contrary to popular belief the Interbank is not an exchange; it is a collection of communication agreements between the world’s largest money center banks.
To understand the structure of the Interbank market, it may be easier to grasp by way of analogy. Consider that in an office (or maybe even someone’s home) there are multiple computers connected via a network cable. Each computer operates independently of the others until it needs a resource that another computer possesses. At that point it will contact the other computer and request access to the necessary resource. If the computer is working properly and its owner has given the requestor authorization to do so, the resource can be accessed and the initiating computers request can be fulfilled. By substituting computers for banks and resources for currency, you can easily grasp the relationships that exist on the Interbank.
Anyone who has ever tried to find resources on a computer network without a server can appreciate how difficult it can be to keep track of who has what resources. The same issue exists on the Interbank market with regard to prices and currency inventory. A bank in Singapore may only rarely transact business with a company that needs to exchange some Brazilian Real and it can be very difficult to establish what a proper exchange rate should be. It is for this purpose that EBS and Reuters (hereafter EBS) established their services.
Layered on top (in a manner of speaking) of the Interbank communication links, the EBS service enables banks to see how much and at what prices all the Interbank members are willing to transact. Pains should be taken to express that EBS is not a market or a market maker; it is an application used to see bids and offers from the various banks.
The second tier of the market exists essential within each bank. By calling your local Bank of America branch you can exchange any foreign currency you would like. More then likely they will just move some excess currency from one branch to another. Since this is a micro-exchange with a single counterparty, you are basically at their mercy as to what exchange rate they will quote you. Your choice is to accept their offer or shop a different bank. Everyone who trades the forex market should visit their bank at least once to get a few quotes. It would be very enlightening to see how lucrative these transactions really are.
Branching off of this second tier is the third tier retail market. When brokers like Oanda, Forex.com, FXCM, etc. desire to establish a retail operation the first thing they need is a liquidity provider. Nine in ten of these brokers will sign an agreement with just one bank. This bank will agree to provide liquidity if and only if they can hedge it on EBS inclusive of their desired spread. Because the volume will be significantly higher a single bank patron will transact, the spreads will be much more competitive. By no means should it be expected these tier 3 providers will be quoted precisely what exists on the Interbank. Remember the bank is in the business of collecting spreads and no agreement is going to suspend that priority.
Retail forex is almost akin to running a casino. The majority of its participants have zero understanding how to trade effectively and as a result are consistent losers. The spread system combined with a standard probability distribution of returns gives the broker a built in house advantage of a few percentage points. As a result, they have all built internal order matching systems that play one loser off against a winner and collect the spread. On the occasions when disequilibrium exists within the internal order book, the broker hedges any exposure with their tier 2 liquidity provider.
As bad as this may sound, there are some significant advantages for speculators that deal with them. Because it is an internal order book, many features can be provided which are otherwise unavailable through other means. Non-standard contract sizes, high leverage on tiny account balances, and the ability to transact in a commission free environment are just a few of them…
An ECN operates similar to a Tier 2 bank, but still exists on the third tier. An ECN will generally establish agreements with several tier 2 banks for liquidity. However instead of matching orders internally, it will just pass through the quotes from the banks, as is, to be traded on. It’s sort of an EBS for little guys. There are many advantages to the model, but it is still not the Interbank. The banks are going to make their spread or their not go to waste their time. Depending on the bank this will take the form of price shading or widened spreads depending on market conditions. The ECN, for its trouble, collects a commission on each transaction.
Aside from the commission factor, there are some other disadvantages a speculator should consider before making the leap to an ECN. Most offer much lower leverage and only allow full lot transactions. During certain market conditions, the banks may also pull their liquidity leaving traders without an opportunity to enter or exit positions at their desired price.

Trade Mechanics:
It is convenient to believe that in a $2tril per day market there is always enough liquidity to do what needs to be done. Unfortunately belief does not negate the reality that for every buyer there MUST be a seller or no transaction can occur. When an order is too large to transact at the current price, the price moves to the point where open interest is abundant enough to cover it. Every time you see price move a single pip, it means that an order was executed that consumed (or otherwise removed) the open interest at the current price. There is no other way that prices can move.
As we covered earlier, each bank lists on EBS how much and at what price they are willing to transact a currency. It is important to note that no Interbank participant is under any obligation to make a transaction if they do not feel it is in their best interest. There are no “market makers” on the Interbank; only speculators and hedgers.
Looking at an ECN platform or Level II data on the stock market, one can get a feel for what the orders on EBS look like. The following is a sample representation:
You’ll notice that there is open interest (Level II Vol figures) of various sizes at different price points. Each one of those units represents existing limit orders and in this example, each unit is $1mil in currency.
Using this information, if a market sell order was placed for 38.4mil, the spread would instantly widen from 2.5 pips to 4.5 pips because there would no longer be any orders between 1.56300 and 1.56345. No broker, market maker, bank, or thief in the night widened the spread; it was the natural byproduct of the order that was placed. If no additional orders entered the market, the spread would remain this large forever. Fortunately, someone somewhere will deem a price point between those 2 figures an appropriate opportunity to do something and place an order. That order will either consume more interest or add to it, depending whether it is a market or limit order respectively.
What would have happened if someone placed a market sell order for 2mil just 1 millisecond after that 38.4 mil order hit? They would have been filled at 1.5630 Why were they “slipped”? Because there was no one to take the other side of the transaction at 1.56320 any longer. Again, nobody was out screwing the trader; it was the natural byproduct of the order flow.
A more interesting question is, what would happen if all the listed orders where suddenly canceled? The spread would widen to a point at which there were existing bids and offers. That may be 5,7,9, or even 100 pips; it is going to widen to whatever the difference between a bid and an offer are. Notice that nobody came in and “set” the spread, they just refused to transact at anything between it.
Nothing can be done to force orders into existence that don’t exist. Regardless what market is being examined or what broker is facilitating transactions, it is impossible to avoid spreads and slippage. They are a fact of life in the realm of trading.

Implications for speculators:
Trading has been characterized as a zero sum game, and rightly so. If trader A sells a security to trader B and the price goes up, trader A lost money that they otherwise could have made. If it goes down, Trader A made money from trader B’s mistake. Even in a huge market like the Forex, each transaction must have a buyer and a seller to make a trade and one of them is going to lose. In the general realm of trading, this is materially irrelevant to each participant. But there are certain situations where it becomes of significant importance. One of those situations is a news event.
Much has been made of late about how it is immoral, illegal, or downright evil for a broker, bank, or other liquidity provider to withdraw their order (increasing the spread) and slip orders (as though it was a conscious decision on their part to do so) more then normal during these events. These things occur for very specific reasons which have nothing to do with screwing anyone. Let us examine why:
Leading up to an economic report for example, certain traders will enter into positions expecting the news to go a certain way. As the event becomes immanent, the banks on the Interbank will remove their speculative orders for fear of taking unnecessary losses. Technical traders will pull their orders as well since it is common practice for them to avoid the news. Hedge funds and other macro traders are either already positioned or waiting until after the news hits to make decisions dependent on the result.
Knowing what we now know, where is the liquidity necessary to maintain a tight spread coming from?
Moving down the food chain to Tier 2; a bank will only provide liquidity to an ECN or retail broker if they can instantly hedge (plus their requisite spread) the positions on Interbank. If the Interbank spreads are widening due to lower liquidity, the bank is going to have to widen the spreads on the downstream players as well.
At tier 3 the ECN’s are simply passing the banks offers on, so spreads widen up to their customers. The retailers that guarantee spreads of 2 to 5 pips have just opened a gaping hole in their risk profile since they can no longer hedge their net exposure (ever wonder why they always seem to shut down or requote until its over?). The variable spread retailers in turn open up their spreads to match what is happening at the bank or they run into the same problems fixed spreads broker are dealing with.
Now think about this situation for a second. What is going to happen when a number misses expectations? How many traders going into the event with positions chose wrong and need to get out ASAP? How many hedge funds are going to instantly drop their macro orders? How many retail traders’ straddle orders just executed? How many of them were waiting to hear a miss and executed market orders?
With the technical traders on the sidelines, who is going to be stupid enough to take the other side of all these orders?
The answer is no one. Between 1 and 5 seconds after the news hits it is a purely a 1 way market. That big long pin bar that occurs is a grand total of 2 prices; the one before the news hit and the one after. The 10, 20, or 30 pips between them is called a gap.
Is it any wonder that slippage is in evidence at this time?

Conclusions:
Each tier of the Forex market has its own inherent advantages and disadvantages. Depending on your priorities you have to make a choice between what restrictions you can live with and those you cant. Unfortunately, you can’t always get what you want.
By focusing on slippage and spreads, which are the natural byproduct of order flow, one is not only pursuing a futile ideal, they are passing up an enormous opportunity to capitalize on true inefficiencies. News events are one of the few times where a large number of players are positioned inappropriately and it is fairly easy to profit from their foolishness. If a trader truly wants to make the leap to the next level of profitability they should be spending their time figuring out how identify these positions and trading with the goal of capturing the price movement they inevitably will cause.
Nobody is going to make the argument that a broker is a trader’s best friend, but they still provide a valuable service and should be compensated for their efforts. By accepting a broker for what it is and learning how to work within the limitations of the relationship, traders have access to a world of opportunity that they otherwise could never dream of capturing. Let us all remember that simple truth.
submitted by Cross_Game to Forex [link] [comments]

The era of artificial intelligence: how robots manage capital

The era of artificial intelligence: how robots manage capital
Interview with Alexander Tatarsky, creator of the quantum fund
How well do you know artificial intelligence? Perhaps you have never heard of it, or maybe it’s quite the opposite and robots are already managing your capital.
We were able to interview Alexander Tatarsky — an experienced trader, co-founder and financial director of the Mercury Foundation — a fund that manages capital through A.I.! Alexander introduced us to the concept of his organization and explained the unique idea behind the project.

https://preview.redd.it/bulvn62tuw021.jpg?width=700&format=pjpg&auto=webp&s=7c6357c83fe7c7afd904a8e9718447801fbdc8a1
Alexander, why did you start trading? How did you start and why did you decide to choose this particular field?
Many people know that the Chinese word “crisis” consists of two hieroglyphs. One means “danger”, and the other one — “opportunity.” I considered a global financial crisis of 2008 an opportunity. That’s when I began my professional career in the financial markets. Before those events, I was always very interested in economics (thanks to my economic education!) and financial markets, but I focused on 2 aspects: first is financial markets as an instrument of global management of peoples and their well-being, second — financial markets as an example of the fundamental laws of nature. I always wanted to get closer to understanding the essence of these processes.
However, until 2008, I was just a curious observer. I read books, watched major events, learned to compare facts. I was running a business that had nothing to do with the markets. The events of 2008 encouraged me to make my first profitable deals. And then I realized that this field is not only about self-development and curiosity — it could also become a source of permanent income. With the right approach, this income can be much higher than in other sectors of the economy. So the choice was made.
What were the reasons for creating an Investment Foundation managed by artificial intelligence?
Anyone who is professionally engaged in money management considers automation at some point. Computers are much more efficient than human when it comes to assets management. Robots are taking over, so it was a logical step for us. From the very beginning, we realized the inferiority of the ready-made solutions on the market and did not even consider using other people’s services. We could use the A.I, and we did. It was actually not even a question, it’s like asking an artist — why are you painting? Because we are the best at managing money.
What is the market share (in particular, on cryptocurrency market) of the investment funds (including funds managed by artificial intelligence) and how do you handle the demand?
If we talk about traditional financial markets, then, according to the latest data, the share of investment funds in the total volume of transactions amounts to 70%. At the same time, quantum funds account for at least 27% of all transactions on US exchanges. As for the cryptocurrency market, they are so riddled with fraud and unrealized projects that we have long since ceased to care about the competitors.
There are many ordinary funds, but 80% of them close in a year and 95% of them — in three. We do not consider them competitors, as we are focused on long-term work. All their clients will eventually come to us. In long-term, the manual traders do not stand a chance against the robot.
Are there any companies similar to yours in the world?
Yes, sure. In our industry, only a few succeeded in achieving the degree of automation that we have. The most successful of our colleagues use qualitatively different algorithms that still require regular manual testing and customization. In most cases, those “algorithm factories” constantly have to adapt to the new market conditions. Our algorithms require human participation only at the development stage. Simply put, in most cases, operators with remote controls always follow their robots, but our robot can walk on its own.
The market offers a huge number of different robots that promise to increase your capital in Forex, binary options, cryptocurrency. How are you different from them? Is it possible to earn money with such robots?
Yes, certainly. If you are good at trading and investing. If you have clear money management rules backed by math. If not, you can only lose. And robots have one more limitation — they cannot bring you the profit all the time. Such robots offer a huge number of strategies, half of which is profitable, and the other half is not. Because a person is ultimately responsible for choosing strategies. That is, it is not the robot that makes the decisions, but the user who sets the trading rules. In some cases, it helps to earn quickly, and in others — to lose quickly. Such robots do not guarantee earnings, they only ensure fast trading. We have a radically different approach. Bruce Lee said: “I fear not the man who has practiced 10,000 kicks once, but I fear the man who had practiced one kick 10,000 times”. Therefore, instead of ten thousand strategies, we have been developing only one strategy for several years.
The robots you are talking about are the first level. There are many of them and to me they are useless. Among our competitors, there are funds that trade in traditional markets using second-level robots. There are not many of them, but they all deliver consistently good results. One of the leaders in our industry is the Medallion Foundation, created by Renaissance Technologies. For several decades, their mathematical model has been continuously multiplying their capital.
We consistently implement the same model of asset management, completely removing a person from decision-making process. Development will take a few more years, but even now, our robot is already trading at the professional level. The robot needs a person only for controlling and learning new functions.
Some believe that technical analysis does not apply to cryptocurrency, what do you think about this statement?
I actually do not care; it is rather a question of how competent is the person who said this. If it works for you, you can use it. I think you will agree that a professional can play even on one string, and the amateur can find a thousand reasons to give up. The only thing I can do is ask in return — what can the market offer instead of technical analysis? Intuitive news trading? Fundamental analysis? Neural network?
Technical analysis is a complex discipline and it takes a lot of time and mental strength to fully master it. It could take a trader 10 years to learn it. Not everyone succeeds, so technical analysis does not work for everyone.
I favor a more specific approach: if it doesn’t work for someone, they should figure out why, because it is working for us quite well.
Where does your Foundation operate?
We advertise ourselves as a global foundation. In today’s world, good business has to be global. Among our clients are representatives of the Russian Federation, the European Union, Great Britain and China. We continue to expand our reach. As for trade, over the next 6 months we will be able to manage capital on all largest exchanges of the world.
Why is there a minimum deposit amount of $ 10,000?
There are several reasons. First, we need funds to maintain client accounts. We do not charge a monthly fee, only a percentage of the profits. Therefore, the size of the deposit has a lower limit.
Second, $10k is not much for our target audience. It also acts as a filter that shows the solvency and how serious the intentions of a potential client are. We do not target the mass market and do not deal with dumping. On the contrary, we provide long-term, high-quality services for those who can afford it.
Third, the robot independently manages risks and simultaneously controls all portfolios. We don’t like it if someone can’t enter the position because the share calculated for him by the robot is not allowed on the exchange due to restrictions.
Are there any differences in the management of different amounts of investment? If yes, what are they and are there any similarities in the management of investments of one quantitative segment?
Our job is to describe all the differences with strict mathematical formulas and test them thousands of times under all possible conditions. Therefore, there is no big difference for us between a 5 mln purchase or 5k purchase. Everything is described, tested, calculated, everything works.
Differences in the management of large capital are even more drastic. The psychological factor in this case becomes critical. The same trader managing a demo account or a million dollar account will behave like two completely different people and make fundamentally different decisions. Our task is to completely eliminate the human factor from the money management process.
What are the chances for new instruments to get into the Foundation’s portfolio? What is the basis of the selection of certain tools? Are there any common priority tools for different segments of investors?
Any promising liquid instrument can be included in the portfolio of the Foundation, and the choice depends on many factors. The robot evaluates and filters the instrument on the basis of special algorithms and determines the share of an asset in the portfolio based on the results of the evaluation. All decisions must be mathematically justified, taking into account the analysis of the maximum possible amount of data. The more data on the instrument we have, the higher the quality of the decisions made and the share of the instrument in the portfolio. The choice does not depend on the category of investor. If the instrument is promising and liquid, all our clients will get profit.
Can you tell more about the terms of settlements between the Foundations and investors?
If someone in our market guarantees you a good profit and even specifies when you could get it, then I in turn guarantee that this is a fraud. We are most interested in customer profits, as this is the only way to offset the costs of managing his account. Imagine the following situation:
The new client opened a 10k deposit and a month later, he had a total of 12k in his account. At the beginning of next month, we will ask you to transfer us 1k as a fee. 11k remains on his account, but a month later, suppose, unsuccessful deals were made and there is 10k on his account again. In this case, we do not require any payments until the deposit exceeds 11k.
Suppose a month later he has 12k again. Then we will charge 50% of the difference between 11k and 12k, i.e. $500. The fact that the entire team of our foundation has long transferred the management of all its assets to our robot could also count as a guarantee. We have a direct motivation to make trading as successful as possible. We do not use the services of other funds or managers. And the second fact is that the portfolios of all clients, including our personal ones, are managed simultaneously.
Can you share the success stories of the Foundation?
We want to implement a demo account for this purpose. We plan to fill it with transactions and statistics from 2017, copied from real accounts, but without disclosing personal data. The demo-account will include a history of the average client from the beginning of 2017.
It will explain how the robot trades and what profit you can expect from it.
Do you believe that private investors, to some extent, are competitors to investment funds? What, in your opinion, is it more efficient and profitable: being a private investor or investing with funds?
No, we consider them not competitors, but clients. The vast majority of our clients already have experience in investing. Beginners often think they are the smartest, that they don’t need to pay someone 50% of the income when they can easily buy and sell themselves. I admit that in the short run a private investor can earn more than a robot — but definitely not over a long period. The robot ensures a stable result day after day, year after year, while people are prone to stress, illness and psychological weakness.
Also, funds, compared with private investors, have more compelling ratio of risk and return. At some time, a private investor may gain the same profit as a fund. However, the fund will achieve the same profit with much less risk. My money is controlled by a robot, although I believe in my capabilities as a trader.
Does the Foundation have an affiliate program?
Yes, we have an affiliate program, and at the same time, we are interested in collaborating with specialists for mutually beneficial cooperation. For example, we could consider providing service for the service for really good experts in design, advertising and marketing. If you have such specialists, let them send me their proposals and CVs. See contact details on our website.
What kind of future do you see for ordinary investment funds and funds like the Mercury Foundation?
It is clear to me that the share of funds managed by robots will grow steadily. Most likely, in a couple of decades only old-timers will manage money manually.
Robotization applies to all spheres of life and investment has already come into play. For example, the head of Japan’s Government Pension Investment Fund — the world’s largest pension fund — believes that artificial intelligence will soon completely replace asset managers. And I fully agree with him.
And the largest hedge fund Bridgewater Associates is developing a decision-making algorithm that can replace all management personnel over time.
How do you look at the cryptocurrency market from a global perspective? Will the Bitcoin climb to 20,000$ again? And what will happen to the altcoins?
If we talk about the long term prospect, like 3–5–7–10 years, then I’ll say that today we see the early stage of the cryptocurrency market. Over time, its capitalization will be measured in trillions of dollars. The best projects of this field will become an integral part of our lives. Many of them will become new Google, Facebook, Apple and Amazon.
However, this will happen gradually. In order to become a mature sector of the economy, this market will have to go through many challenges. It will face issues of legislative regulation and technical problems. The scaling and bandwidth issues of most networks are still relevant, as well as legal issues. Most states are just beginning to explore the risks and opportunities associated with these technologies. And the promotion of such technologies is still very dependent on states and supranational bodies. If we talk about the short and medium terms, the prospects are not very bright.
I think that in the near future the bitcoin will certainly not reach the 20,000$ mark. We are witnessing the strongest bear market and must act accordingly. The time for positive medium-term forecasts has not yet come. The industry was severely overcrowded in 2017. There was too much hot money, many economically unfeasible projects and excessively high expectations. The market will need time to stabilize and consolidate. Most likely, we are in for a rather complicated and dangerous period of instability in the market. Obviously, this will be accompanied by some cleansing of the market from weak, incompetent and unclaimed participants.
This is a necessary stage on the path towards development. I think that 80% of altcoins known to us will depreciate and disappear in the next year or two for objective reasons. It will be a time of natural selection. However, strong players will only strengthen their positions in the market. Unfortunately, there will not be many of them. Therefore, in the near future, all investors will need to take a good care of the management of their portfolios. Despite the rather grim short-term and medium-term expectations, there will be some positive developments on the market. Some cryptocurrencies are likely to exceed their all-time peaks next year. And some will just look stronger than the market. This will be enough to generate profitability even under such difficult conditions. Therefore, the main task for the near future is to manage risks in a competent and very conservative manner and select the best ones on the market for investments.
From a professional point of view, what would you wish to partners of our club?
Depends on their goals. If they invest for the sake of emotions, then I wish them good luck and health. If they do it to earn money, I advise you to consult with professionals. This applies not only to investments, but also to any area of life. If you want the task to be solved as accurately as possible — always contact the best professionals available. And always keep learning. Your knowledge is your most reliable asset.
What books would you recommend for beginner traders?
If you decide that you are ready to turn trading into your profession, then start eagerly exploring everything available to you. Everything about financial markets, about macroeconomics, about psychology, about analysis and forecasting. Do not forget that money management skills play a huge role here. Ralph Vince will help you figure it out. Even if your analysis of the markets is very good, you will lose everything eventually if your money management skills are subpar. Now is a great time to learn, you have hundreds and thousands of books available on all aspects of this profession. Someone will enjoy the works of John J. Murphy or Jack Schwager, someone will learn from William D. Gann or Robert Prechter. And remember: knowledge is more important than capital!
We thank Alexander for such a detailed story about the Foundation, as well as for his sincere desire to share his opinions and forecasts. If you want to entrust the management of your funds to the Mercury Foundation, type “I want to invest in the Mercury Foundation” in the personal messages of the group.
submitted by Golden_Island_Club to u/Golden_Island_Club [link] [comments]

First R1 of some stupid deficit fear mongering video

https://www.youtube.com/watch?v=uZLdqmA4nqw
First of all, I don't have any formal training in macroeconomics beside a course or two in college and what I've read online, but this video was actually shown in class by my prof(thankfully not an economics prof, but a finance prof nonetheless). There will be probably be some bad economics here of my own. I am sure you guys can do a far better R1 on this then I did, and I would appreciate if someone did, actually.
It is also interesting how this video is labelled "2014 Collapse" but has data from around the recession, when the government had an expansionary fiscal policy combined with a recession, leading to a larger budget deficit than usual.
At 0:37
Ever think about paying your mortgage with your credit card, that's exactly what uncle sam does(by issuing new bonds to pay interest on old bonds)
Wow, first of all, the interest rate on treasury bonds is far far lower than on any mortgage or credit cards. Secondly, a sovereign borrower is not like an individual. A sovereign government has a far, far larger credit "line", is perpetual, can increase their revenue substantially through tax raises, and their debt is actually demanded by hundreds of millions of individuals and institutions around the globe.
1:08
It's such a huge amount of money, uncle sam is running out of people to borrow money from
Standard & Poor's credit rating for the United States stands at AA+ with stable outlook. Moody's credit rating for the United States was last set at Aaa with stable outlook. Fitch's credit rating for the United States was last reported at AAA with stable outlook. . In general, a credit rating is used by sovereign wealth funds, pension funds and other investors to gauge the credit worthiness of the United States thus having a big impact on the country's borrowing costs. This page includes the government debt credit rating for the United States as reported by major credit rating agencies
http://www.statista.com/statistics/189302/trading-volume-of-us-treasury-securities-since-1990/
2:26
Remember the foreign governments that lent money to Uncle Sam, when they lent money to uncle sam, something interesting happened. It made the US look richer, and their countries look poorer
Does China investing the trillions of US forex they have on US bonds really make the US dollar appreciate?I understand capital inflows can increase demand for a currency, but did it really happen to extent that it provided a significant incentive for US companies to outsource operations, as he states later on?
When a country looks poor due to America, one dollar of our money, buys a lot of their money, so they can pay their workers only a few pennies a day. With such low labor costs, they can sell their products in America for lower prices than any American manufacturer can.
Obviously the difference in currency prices can affect the trade balance, but the inherent reason why Chinese goods and manufacturing is cheaper is because the the cost of labor and operations there is just a fraction of what it is in the US, in real terms.
2:50
The easiest way for American companies to compete, is to move their factories overseas, and pay their workers a few pennies a day too. This contributes to a recession
Ah yes, an increase in trade between China and the US and the wage depreciation among workers of America's massive industrial sector has been demonstrated to cause recessions
3:40
He[Uncle Sam] can't have the federal reserve make more money without making the inflation worse"
Obviously expansionary monetary policy tends to increase the rate of money supply growth in the economy and thus inflation, but the level of inflation wasn't above the threshold where it could be a problem. The recession actually had deflationary pressures rather inflationary,.
Since the 2008 financial crisis, the U.S. Federal Reserve has kept interest rates near zero and pursued a bond-buying program – now discontinued – known as quantitative easing. Some critics of the program alleged it would cause a spike in inflation in the U.S. dollar, but inflation peaked in 2007 and declined steadily over the next eight years. There are many, complex reasons why QE didn't lead to inflation or hyperinflation, though the simplest explanation is that the recession was a strong deflationary environment, and quantitative easing ameliorated its effect
3:57
Whether its in two months or two years, the day will come when uncle sam can no longer pay its bills
Its been more than two years since this video was posted on youtube(most likely just a retitled version of an older video), the US government still has by far the best credit rating in the world.
submitted by FlairCannon to badeconomics [link] [comments]

FxAlert - a simple news event reminder app

Hey all, I've meant to keep an eye on the news for a while now but always find myself engrossed in other activities and constantly forgetting about tracking what's coming up next.
So I spent a day or two knocking together this app for myself, and thought I'd share for anyone else who's interested. It just shows how long til the next major news event, and also displays a very obvious popup 5 minutes before every important event that's about to pop.
Events schedule is read off the Forex Factory's calendar.
Download here: http://www.itsquasar.com/FxAlert.exe
Open source Github repo: https://github.com/Quas94/FxAlert
Planned features:
submitted by Quas94 to Forex [link] [comments]

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