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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!
submitted by thicc_dads_club to Forex [link] [comments]

$F Ford Earnings Thread; Keep all discussion here

Results: (4:15 ET; conf. call 5:30 ET)
Revenue: expected $36.96b (EW), $37.01b (Thomson Reuters), actual $38.7b automotive; $41.8b total
EPS: expected $0.30 (EW), $0.32 (Thomson Reuters), actual non-GAAP $0.30; actual GAAP -($0.03)
Guidance: not much specifics. expects performance to improve in China. let's just call it meh
1/25 ATM Straddle Implied Move: ~5.5%
Average historical post-earnings move: ~3%
Shares trading mixed <1%
Links:
MarketWatch - Ford and VW alliance: Don't get too excited, MS-13 says
MarketWatch - Ford's stock falls ahead of earnings report
SeekingAlpha - Ford Motor Q4 2018 Earnings Preview
Ford 4Q 2018 Results / Financials
Ford 4Q 2018 Slides
Ford IR Page - conf. call replay available here after 11:00pm ET tonight
Ford Earnings Conference Call Webcast
Seeking Alpha - Ford Motor misses by $0.01, beats on revenue
Seeking Alpha - Ford trickles higher after mixed quarter
Bloomberg - Ford Falls Into the Red for the Fourth Quarter
Reuters - Ford posts lower operating profit as overseas losses weigh
CNBC - Ford misses profit estimates as pension and layoff costs erode earnings — despite strong North American sales
MarketWatch - Ford keeps expectations for the year under wraps
Potential Market-Moving Topics:
  • Restructuring
  • Global Auto Demand (esp. China)
  • Partnership with VW
  • Impact of Tariffs the fucking T word
  • Dividend
Earnings Commentary:
Surprising GAAP EPS of -($0.03) caused by a combination of commodities, tariffs, recalls, Forex, and pensions. Revenue beat expectations but strength came largely from NA sales and perhaps signaled weakness in overseas markets. Not much specifics in the way of 2019 guidance. Liquidity is still good: cash on hand of $23.1b. Dividend should still be fine.
Feel free to suggest additions / links in the comments below.
EDIT: Results and links updated! Thank you everyone for commenting.
submitted by Ryhearst to wallstreetbets [link] [comments]

Ripple (XRP) Analysis (quite thorough)

NOTE: I did not write this article below. I simply copy and pasted the article. Please click the following link to view the entire article. The article includes charts and images which were not transferred to the text below.
https://steemit.com/cryptocurrency/@lennartbedrage/the-ripple-xrp-effect-fundamental-analysis
The Ripple(XRP) Effect - Fundamental Analysis: lennartbedrage44 in cryptocurrency ripple.jpg
Lately, there’s been a tremendous amount of buzz around Ripple(XRP), but is it only because of the massive growth we’ve seen in the past few 30 days, or is there something more?
In this article, I’ll dive into a brief back ground of Ripple, objectively examine the arguments for and against it, explore its potential from a economic standpoint, then close with potential threats to your investment and a summary.
Meet Ripple(XRP)-
Released in 2012, Ripple aims to enable “secure, instant and nearly free global financial transactions of any size with no chargebacks” through their real-time gross settlement system (RTGS) and currency exchange and remittance network. Ripples distributed open-source internet protocol consensus ledger was created as basic technology for interbank and regulated financial institutions to integrate Ripple into their own systems. This differs from the Bitcoin full node and other crowdsourced altcoin consensus networks in several ways:
Ripples common shared ledger is a network of independent validating servers which compare their transaction records, rather than the full network of nodes coming to consensus prior to each transaction, enabling faster transaction speeds. Although their protocol is open source, it was not created as a plug & play solution, like bitcoins full-node software, nor does it rely on crowd-sourced support. Unlike Bitcoin, Litecoin, Ethereum, and other Alt-coins, Ripple is recognized as legal tender by several governments, which gives it instant liquidity via financial institution, as well as purchasing power over material goods. Because of this, it cannot be evaluated in the same ways as other coins, which are largely evaluated based on assumptions & speculation. In terms of value, it’s more like cash than a commodity. Because of this, it is evaluated in a much different way than Ethereum(ETH) and other alt-coins with intrinsic value, but is accepted much more rapidly because it’s easy for the mass-market to understand. Remember: without market acceptance, there is not value, regardless of how innovative something may be.
Just 4 short years after its release, on 01MAY17, Ripple announced that a consortium of 47 banks have successfully completed a pilot implementation of Ripple in Japan, making it the first country in the world to enable domestic and international real time money transfers via the cryptocurrency. This event lead the XRP value to sky-rocket from $0.051580 USD to an all-time high of $0.430085 in just 16 days… but why? Is it 100% speculation, or is there something else going on here?
“It’s not a real cryptocurrency!” Or is it? Well, those whom bring this argument to the table are probably referencing facts that I’ve mention during my introduction to Ripple: Its a centralized and regulated crypto-currency which does not need global consensus for transfers, and it is built specifically for (and potentially by) financial institutions. Though a lot of the Anarcho-Capitalists may want to steer clear of this one due to its highly regulated nature, regular capitalist may believe these core differences to be its greatest strengths:
Regulated - As I mentioned in my analysis on Ethereum(ETH), Bitcoin’s lack of regulation was likely he reason (or at least, that’s what they told us) that the proposed ETF failed to pass the SEC’s evaluation several months ago. If adhering to some sort of trusted regulatory standards, this could drive federal confidence, which in turn drive bank and lending institution faith…trickling all the way down to the consumers. This insures rapid mass market acceptance. Consensus - As mentioned before this is much different process than Bitcoin’s global consensus, which means that transaction times are nearly instant regardless of volume transferred. Additionally, all transfers adhere to distributive ledgers DLT standards, which is a requirement for many financial institutions to be insurable. Institutional Management - You’ve probably guessed this one already. Although the demand and speculative value is driven at some capacity by ‘the people’, this currency is about as close to the World bank and SWIFT as you can get. This is largely due to the amount Deliberate - It feels like a big bank, because it is. Ripple was built specifically for the financial markets, which is why they specifically targeted regulatory compliance. shutterstock_289877267_long_read_cover_large.jpg
Economic Value As mentioned in the last point, Its easy to see that Ripple offers tremendous value to financial-institutions and retail investors. These two groups make up 358 billion (numbers from 2013) non-cash cross-country annual transactions, and the FOREX market which sees more than $5.1 trillion $USD each day. Per a report released by Capgemini and The Royal Bank of Scotland, this is growing at an average rate of about 7.5% each year globally, though China and other Emerging Asian economies have been leading the charge at around 21%.
Seems like a lot, right? Well, for sake of uncovering the immediate value of XRP, we will zoom into the recent adopters of the distributed ledger technology: Japan, India, and the Central Europe, Middle East & Africa(CEMEA) regions.
Japan.jpg
Japan is the third largest economy in the world by nominal GDP ($6.11 trillion), fourth by purchasing power parity(PPP) and second largest developed economy. Currently, their GDP per capita is roughly $48,412 (vs $56,430 in US) and their major trade partners include the US, China, Hong Kong, Australia and South Korea.
Japan GDP.png
Aside from the speculation that they maybe soon pressure their trade partners (excluding the US and China) to adopt a system which allows for instant, near free transfers of funds, here’s where it gets interesting for the immediate future: Japan has already started accepting Ripple(XRP) as legal tender. If Ripple raises to just 25% of the overall transaction volume of P2P, P2B & B2B within Japan itself (represented in the chart by Other Services, Real Estate, Retail, Transport, Communications, Finance & Utilities) which is equal to about 20% of their overall economy, Ripple would be handling roughly $1.27 trillion USD in Japan – alone - every year. To put that in perspective, the current (at the time of writing) market capitalization of Bitcoin(BTC) is $30.7 billion USD (or >0.4%). Unlike Bitcoin, Ripple is legal tender which means that it can be exchanged for material goods and services, which means that it’s likely to have explosive acceptance in the local area.
India.jpg
India-based Axis Bank announced in April that they will soon begin leveraging distributed ledger tech for cross-border transactions and to make banking simple and convenient for their customers. About 15 days’ prior, another large financial institution, Yes Bank, also announced that they would be adopting Ripples ledger for the same reasons. If Ripple continues to grow in acceptance at this rate in India, we could see another economy, roughly 1/3 the size of Japan’s ($2.074 trillion USD) add to Ripples annual transaction value. Now, from an economic stand point, this is most interesting because agriculture represents more than 50% of India’s employment, which means that India would be the 2nd case of consumer trading Ripple for staple foods.
India GDP.png
It is likely that Ripple will not handle as large of a percentage of overall transaction volumes in India because only two major banks have adopted this currency and it is not the only Crypto. The latter is probably one of the most important variables, as this means that Ripple will be duking it out for market dominancy. As all of my projections are fairly conservative, I would estimate that Ripple will handle roughly 10% of India’s over all transaction volume in the next 365 days, equal to roughly $311.1 billion USD.
One last thing that I would like to mention is that India is literally the ‘I’ in BRIC and roughly 13% of the BRIC countries total output. If the BRIC comes to fruition, India may be able to convince it’s other close trade partners to jump on the XRP-Train as well.
Dubai.jpg
Abu Dhabi Bank, the National and largest bank of the UAE, has already begun offering cross-border transaction services with Ripples distributive ledger technology as well. As they deal extensively with their middle eastern neighbors, such as Saudi Arabia, and Qatar, the UAE is likely to set a trend for other CEMEA countries to follow.
UAE GDP.png
This might be a surprise to some people, but Dubai’s largest industry is the energy sector (shocker!) followed closely by Real Estate and their Finance industry (double shocker!). Although their GPD is much smaller than Japan and India’s (about $370 billion USD), I am anticipating Ripple to handle a larger percent of the UAE’s transaction volume (31.11%), especially in the finance, Real Estate, Retail and Logistics industries. This is due largely to the fact that their population is only roughly 9.157 million, but most Abu Dhabi nationals are very financially inclined (or at least heavy spenders).
Potential Threats As this threatens SWIFT (unless they are completely on board) and the US dollars’ supremacy in the economic & financial markets, I would not be surprised to see a false flag attack, in which the NSA attacks Ripple and blames it on North Korea or China. Frankly, this would be a cake walk compared to Stuxnet or WannaCry and they could probably hand the task to an MIT intern. Where semi-centralization is Ripples strength in terms of transaction speed and regulation, it is also the biggest security flaw and may open it’s user to some heart ache, hair loss and heavy drinking over the next several years.
Possibility So, what is possible in terms of value over the next few years? Well, if we consider the following scenario:
XRP accounts for roughly 20% of Japan, India full GDP, but 31.1% UAE’s GDP ($7.152 Trillion USD) total exchange volume in the next 2 years Max XRP Supply stays at 100 billion No other countries adopt XRP (not likely) No hacks or other catastrophic events remove confidence Exclude speculation, demand, rallies, and GDP growth projections for each country Then we’re looking at each Ripple(XRP) market capitalization over ~$1.75 Trillion USD, making each coin $17.52 in real value. This means that if you were to invest today at $0.362794, your ROI would be about 4,989%. That said, I think that it’s likely it will go over $30 in the next 2 years, due to speculators flooding the markets and other countries signing up. Again, these are conservative numbers are based on total transaction value in USD equivalent.
For those whom subscribe, I will update as new variables are available to my appraisal
Bottom Line Although it was most definitely created by an insider of the banking industry and does not ‘feel like a crypto’, I personally feel that due to its rapid market acceptance, liquidity and position as legal tender in 3 large economies, Ripple(XRP) is both primed for explosive growth in the near future and likely to be one of the safest value based Crypto-investments we can make today.
Another thing, China is the anchor of the West Pacific, so we should all watch their evaluation of Ripple, very closely. If they were to jump on the XRP-Train, you are likely to see Australia, South Korea, Indonesia and Singapore do the same.
If you enjoyed this article, be sure to share & subscribe, as I have kept my proprietary models and will update as major events and additional countries begin to adopt this currency. If you feel that I have missed something or am just flat out wrong, please be sure to let me know in the comments below!
Planned articles for the next 14 days:
ICO advice from a Venture Capitalist (Follower Request) Paper Wallets (Follower Request) VIVA Analysis (Follower Request) Segregated Witness(Segwit) : Friend or Foe? A Kraken ate my gains... Fundamental Analysis: Stellar Lumens(XLM) Dual-Citizenship and Banking in Panama Rich vs. Wealthy All analysis, numbers and projections are my own. Core information was gathered from reliable sources, such as the World Bank, IMF, CIA world fact book, eia.gov and more.
submitted by ripcurldog to Ripple [link] [comments]

How did you blow up your first Forex accounts?

I'm newly interested in Forex. I'd like to say it's the possibility of another income stream that attracts me, but honestly it's the stories of rapid wealth that first caught my eye. I want to tell myself that I'll practice proper risk management, risk no more than 2% a trade and all that, but either that seems much easier said than done or it's still not enough.
So I want to ask, how did you guys blow up or lose heavily on your early or current accounts. Was it simply a case of greed and overleveraging, shady brokers stopping you out, or simply a steady trickle of accumulating losses? Certainly there are people who can make a decent return in this business, but I'm interested in what keeps most people from doing so in the long run.
submitted by merper to Forex [link] [comments]

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TRICK TRADING FOREX ( NO LOSS ) , EXACTLY PROFIT

Forex Trading NO Loss Strategy 100% Work With Proof People who have not experienced much in Forex trading. This strategy specifically for these gentlemen is a very useful thing. After working for ... Forex No loss strategy For more superb educational content please visit our website! https://www.forex.academy/ ..... Forex No loss strategy by Lebogang. Forex No loss strategy by Lebogang. Skip navigation Sign in. Search. Loading... Close. This video is unavailable. Watch Queue Queue. Watch Queue Queue. Remove ... Best Forex trading strategy 2018. always win never loss secret trick by Tani Forex. Free forex tradnig indicator and 100% win special strategy in Urdu and Hi... FREE FOREX ROBOT, Easy Instant Profit, No Experience Needed, 100% Free Forex Trading Robot Software. Detailed Installation Manual http://www.kakiforex.com/p/... Generally of Trading Forex have result Profit or Loss - We open position Buy, if price go up, the result is Profit otherwise if price go down, ther result is Loss - We open position Sell, if price ...

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