Forex.com Review 2020 - Pros and Cons Uncovered

P2P Bitcoin Derivative Trading Through the Blockchain: Equities, Bonds, Forex & Commodities

Research & ideas to use [Veritaseum's UltraCoin](http://ultra-coin.com/) **user programmable Bitcoin swaps** to trade exposures to cryptos, forex, equities, bonds & commodities through 45,000+ global tickers & up to 10,000x price leverage - peer-to-peer. Veritaseum's UltraCoin is a software concern that holds no client funds and is not a financial entity, hence presents you with no counterparty or default risk. [Download the client & tutorials](http://ultra-coin.com/index.php/download-beta)
[link]

OANDA Forex Order Book - A 24-hour summary of open orders and positions held by OANDA's clients

submitted by NeoGeo2020 to Forex [link] [comments]

Could we create a summary of the No Nonsense Forex content so far?

I'm about half the way through his stuff but the way he talks is starting to get to me. It comes across as really arrogant and it's something I've noticed in life that people at the very top of their game are not usually like this. Also, I think he could say the same thing in 2 mins that he talks about in each 15-30 min video/podcast without waffling on and repeating so much (which is ironic, given the No nonsense title).

To be fair, he's putting this out for free and not asking for some premium membership at the end (I understand he's guaranteed this), so well done to him for that. I just wish he'd be more ... concise and give practical tips rather than just say 'search through 5000 indicators and find 2 confirmation indicators and 1 exit indicator'.

It would be useful to have a summary of his content as well any tips you've discovered on how to back-test quickly. I'm happy to help.
submitted by magic_beans to nononsenseforex [link] [comments]

SwingFish Summary Week 14 - SwingFish Forex Trader Blog ~ SwingFish Forex Traders

SwingFish Summary Week 14 - SwingFish Forex Trader Blog ~ SwingFish Forex Traders submitted by Swingfish12 to swingfish [link] [comments]

How to best analyze data on forex charts. Summaries, probabilities, means etc?

Hi I'm looking to test cases like a breakouts at specific times, measure and look for pullbacks, measure how well a defined rule is maintained within a specific period etc.
What software would best suit this kind of analysis. R? SAS? Python? Excel?
Been doing this manually for sometime, it's a bit of a b*tch and you risk human error in data.
-ty in advance
submitted by Trivial-Savoir-Faire to Forex [link] [comments]

The FCA bans on Bitcoin and other crypto assets are too harsh and hypocritical.

I as a British citizen and Im concerned about the recent Bitcoin ban.
Reasons why:
  1. You can be scammed out on Forex trading due to high leverage, online con artists and platforms shutting down forex trading altogether.
Plus 500 stopped trading the USA/CNH trading pair after the trade war was declared by trump.
  1. Gambling has no regulations, I can spend as much money as possible on any game or sport and no questions are asked.
A uni student committed suicide last year after being groomed by gambling companies to spend over 20k in one week. No action was taken.
  1. Platforms such as plus 500 offer options that have high spreads, hidden leverage, doesn't track the asset price and can be shut down and can be manupliated by the platform at will.
Plus 500 regulary increase the spread of options such as gold, oil, stocks during trading days and also shut down trading on a daily basis.
Plus 500 shut down Natural gas options for 12hrs due to a 6% slump.
  1. The UK is one of the biggest money laundering and predatory finance trading countries in the world.
The requirements to be a pro trader are insane: ( you need 2/3)
  1. you need experience working in finance.
  2. 500k trading captail
  3. Or make 12+ large trades in the past year.
Ironically using Binance and Coinbase for trading has been safer for me compared to uk stock/forex trading apps.
In summary the reasons above HAPPEN ALL THE TIME AND NOTHING IS BEING DONE TO STOP THESE THINGS FROM HAPPENING.
But Bitcoin and cryptocurrencey as a whole are seen as evil even though they have been profitable for the majority of their existence.
submitted by Vegas-Ranger to Bitcoin [link] [comments]

THROW YOUR FD's in FDS

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down:
https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a

https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp
https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45

FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:

https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7
So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%
https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e

EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.
https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd

P/E has declined in the past 2 years, making it a great time to buy.

https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d
Increasing ROE despite lowering of leverage post 2016
https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b

Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.
https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848

SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares
I’d say it’s a great long term investment, and it should at least be on your watchlist.
submitted by WannabeStonks69 to wallstreetbets [link] [comments]

3 years, 28 pairs and 310 trades later

This thread is the direct continuation of my previous entry, which you can find here. I have the feeling my rambles may be long, so I'm not going to repeat anything I already said in my previous post for the sake of keeping this brief.
What is this?
I am backtesting the strategy shared by ParallaxFx. I have just completed my second run of testing, and I am here to share my results with those who are interested. If you want to read more about the strategy, go to my previous thread where I linked it.
What changed?
Instead of using a fixed target of the -100.0 Fibonacci extension, I tracked both the -61.8 and the -100.0 targets. ParallaxFx used the -61.8 as a target, but never tried the second one, so I wanted to compare the two and see what happens.
Where can I see your backtested result?
I am going to do something I hope I won't regret and share the link to my spreadsheet. Hopefully I won't be doxxed, but I think I should be fine. You can find my spreadsheet at this link. There are a lot of entries, so it may take a while for them to load. In the "Trades" tab, you will find every trade I backtested with an attached screenshot and the results it would have had with the extended and the unextended target. You can see the UNCOMPOUNDED equity curve in the Summary tab, together with the overall statistics for the system.
What was the sample size?
I backtested on the Daily chart, from January 2017 to December 2019, over 28 currency pairs. I took a total of 310 trades - although keep in mind that every position is most often composed by two entries, meaning that you can roughly halve this number.
What is the bottom line?
If you're not interested in the details, here are the stats of the strategy based on how I traded it.
Here you can see the two uncompounded equity curves side by side: red is unextended and blue is extended.
Who wins?
The test suggests the strategy to be more profitable with the extended target. In addition, most of the trades that reached the unextended target but reversed before reaching the extended, were trades that I would have most likely not have taken with the extented target. This is because there was a resistance/support area in the way of the -100.0 extension level, but there was enough room for price to reach the -61.8 level.
I will probably trade this strategy using the -100.0 level as target, unless there is an area in the way. In that case I will go for the unextended target.
Drawdown management
The expected losing streak for this system, using the extended target, is 7 trades in a row in a sample size of 100 trades. My goal is to have a drawdown cap of 4%, so my risk per trade will be 0.54%. If I ever find myself in a losing streak of more than 8 trades, I will reduce my risk per trade further.
What's next?
I'll be taking this strategy live. The wisest move would be to repeat the same testing over lower timeframes to verify the edge plays out there as well, but I would not be able to trust my results because I would have vague memories of where price went because of the testing I just did. I also believe markets are fractals, so I see no reason why this wouldn't work on lower timeframes.
Before going live, I will expand this spreadsheet to include more specific analysis and I will continue backtesting at a slower pace. The goal is to reach 20 years of backtesting over these 28 pairs and put everything into this spreadsheet. It's not something I will do overnight, but I'll probably do one year every odd day, and maybe a couple more during the weekend.
I think I don't have much else to add. I like the strategy. Feel free to ask questions.
submitted by Vanguer to Forex [link] [comments]

Covid vaccine: First vaccine offers 90% protection - BBC News

This is the best tl;dr I could make, original reduced by 65%. (I'm a bot)
The first effective coronavirus vaccine can prevent more than 90% of people from getting Covid-19, a preliminary analysis shows.
Their vaccine has been tested on 43,500 people in six countries and no safety concerns have been raised.
The companies plan to apply for emergency approval to use the vaccine by the end of the month.
Pfizer believes it will be able to supply 50 million doses by the end of this year, and around 1.3 billion by the end of 2021.
There are logistical challenges, as the vaccine has to be kept in ultra-cold storage at below minus 80C. There are also questions about how long immunity lasts and the companies have not presented a breakdown of the vaccine's effectiveness in different age groups.
Dr Albert Bourla, the chairman of Pfizer, said: "We are a significant step closer to providing people around the world with a much-needed breakthrough to help bring an end to this global health crisis."
Summary Source | FAQ | Feedback | Top keywords: vaccine#1 people#2 end#3 first#4 companies#5
Post found in /Coronavirus, /worldnews, /unitedkingdom, /ukpolitics, /europe, /COVIDGoodNews, /worldnews, /worldnews, /CasualUK, /news, /tories, /news, /covidlonghaulers, /CasualUK, /BBCauto, /hackernews, /GreeceMeta, /ScienceFeed, /LockdownSkepticism, /neutralnews, /EverythingScience, /prohealth, /ForexForALL, /AutoNewspaper, /CertifiedNews, /NoFilterNews, /NewsOfTheUK, /medical_news, /UpliftingNews and /Coronavirus.
NOTICE: This thread is for discussing the submission topic. Please do not discuss the concept of the autotldr bot here.
submitted by autotldr to autotldr [link] [comments]

Help me understand this report

So to keep it short when I go to reports, create a "realized summary" and then under realized/unrealized performance I find Forex.
I never trade forex the only thing I do is occaionally switch EUR(main currency) to USD but under Forex I have a loss of -90 USD.
What could that be?
submitted by Newtimeboyo to interactivebrokers [link] [comments]

If I trade LTC/BTC on Binance, does that mean Litecoin is my base currency and my gains/losses are in LTC or vice versa?

I am having such a hard time finding an answer to what I thought would be a simple search.
I want to buy crypto and start "trading up" my account.
So I would ideally like my base currency to be crypto so I can trade other cryptos against it.
Ideally I'd like to start with Litecoin.
But here is my question -- if I load LTC into Binance for example and I traid LTC/BTC I am essentially buying LTC and selling BTC to go long and selling LTC and buying BTC to go short, right?
And my gains / losses are in LTC? Am I getting that right?
Now if my base currency is LTC does that mean I am ONLY limited to trading LTC against other currencies?
Or does that mean I am only limited to having my gains / losses in LTC?
So could I decide to trade BTC/USDT or XRP/BTC and so on as long as I have the equivalent LTC in my account?
And the money I make at that point would be in LTC?
I have been Googling for days and I can't find just a simple summary of this.
I trade Forex but I don't know if it's the same.
EDIT Please stop talking about laws and taxes. My question has nothing to do with taxes or laws. My question has to do with trading cryptocurrency pairs, what the base currency is, and what your profit on a trade would actually be in.
submitted by AHoomanBeanz to CryptoCurrency [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

Beware, traders. How I tripled my net worth and lost it all within 1 month on Binance Futures.

To start, I'll introduce myself. I'm a 19-year-old college student and I've been investing in cryptocurrency and trading forex for the last 3 years. I was drawn to trading for all the wrong reasons. I wanted fast money. I wanted a thrill. I wanted to gamble.
In mid-July, I invested in Swipe (SXP). The DeFi craze was just getting started and SXP seemed like a front-runner with an amazing project. I bought a small amount around $0.60 and watched it triple within a week or two. Yet, at $1.80, people still thought the token was heavily undervalued, including me. This is when I decided to first try out Binance Margin and Futures.
Futures are very similar to leverage trading on forex, so I felt semi-comfortable with what I was doing. I spent about $400 to open up a 7000 SXP long near $1.40 during a flash dip. For those of you that followed SXP, I'm sure you know what happened. My position went green immediately and never looked back. Over the next 2 weeks, SXP climbed to just over $5. I held my position the entire time. At its peak, my $400 worth of margin was worth $27,000. I was euphoric. It was the most money, by far, I'd ever had in my life. I started dreaming of achieving financial independence before 20.
But then, SXP started going down. Fast. I closed out at $4.20, sitting on around $22k. And what did I do? I immediately opened up another long. A much larger position. I wanted to reach 6 figures on this run. I got liquidated quickly, bought back in at $4, then $3.70, then $3.50. All liquidated. I decided to throw my last $14,000 on a 22,000 SXP long. And once that got liquidated too, I was about $8,000 underwater. Not only did I lose all my paper profit, but I also lost the majority of the money I had been saving for years.
I was crushed. I didn't know what to do with myself. I started transferring whatever money I could get my hands on into my futures account. I started being reckless, hoping to hit big again like before. I became more reckless with my money than I ever have and quickly lost that too. This time the losses felt different. I was numb to them. My $1000 losses felt like nothing compared to what I had already lost, even though that $1000 was now a bigger % of my net worth than it ever had been.
In summary, my greed got the best of me. And I lost so much that I didn't give a shit about anything anymore. I hope this story will help other traders avoid the mistakes I made.
Btw, I opened up one last long at $1.70. Gonna ride it up to $8.
https://imgur.com/a/bbOY76i
https://imgur.com/a/fevkZxV
submitted by gray_13 to Daytrading [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

Rupee ends at 74.99 against US Dollar

Rupee ends at 74.99 against US Dollar submitted by TrueIndologyBot to DDnews [link] [comments]

5. Everything to know about Forex (Summary) Summary Of Forex - Part 1 #SFM DASHBOARD MT4 INPUTS-best trading strategy forex - YouTube HOW TO DAY TRADE FOR A LIVING SUMMARY (BY ANDREW AZIZ ... Best Forex Signals 2020  Weekly Forex Performance Summary ... MT4 Tips - How to View Trade History Statements and ... Trading Forex with Market Profile (Video Summary) The Quarters Theory in Forex Trading 🌛 - YouTube

Forex signals summary for 01-Oct-20. 10/1/2020 Comments . Total pips earned today : +136 pips Total pips earned from 01 June 2020 : 3739 pips AUD/JPY long @ 75.85 (+15 pips TP 1 ) EUR/CAD long @ 1.5610 (+20 pips TP 1 ) EUR/CHF short @ 1.0795 (+20 pips TP 1 ) GBP/AUD short @ 1.7940 (+90 pips TP 3 ) USD/CHF long @ 0.9195 (-05 PIPS SL manually closed at 17.00 GMT ) EUR/JPY short @ 124.00 (-04 ... Forex Multiple TimeFrames Analysis Summary is an overview of what we covered in previous lessons. To trade with multiple time frame means to look at price movements of the same currency pair on different time frames. The main chart time frames provided by most brokers are; 1 minute chart(M1) 5 minute(M5) 15 minute(M15) 30 minute (M30) 1 hour(H1) Forex Technische Analyse Übersicht über die technische Analyse für die wichtigsten Währungspaare in Echtzeit. Diese Analyse ist eine zusammenfassende Übersicht, die aus einfachen und ... Forex is a portmanteau of foreign currency and exchange. Foreign exchange is the process of changing one currency into another currency for a variety of reasons, usually for commerce, trading, or ... FOREX SUMMARY FOREX. Fabrice Ben Hassine. Bullet Markets Fixed Income Foreign Exchange. Sign up now for free access to this content. Please enter your details below and select your areas of interest. Areas of interests. FI Market: Focusing on the Fixed Income market, our specialist approach makes us a resource relied upon by the world’s most prominent financial market investors. Our real ... The Bollinger Bands – chart trend indicators summary. The Bollinger bands are used to measure market volatility. The indicator comprises of 3 lines following price movement. The lower band below price, the upper band above the price ; The Moving Average in between. When the bands expand, it signals an increase in the market volatility and when they contract it shows a fall in the market ... Forex.com has a news feed in the trading applications. It also provides an economic calendar, which lists upcoming macro events. When you select an event, you can view a short summary and check historical data. You can also read market analysis written by Forex.com's research team. You can find these articles under the 'Market Analysis' tab. We ...

[index] [4311] [19287] [26562] [17276] [4315] [6297] [14302] [3783] [4994] [5050]

5. Everything to know about Forex (Summary)

How To Trade Liquidity Voids, Volume Profile (Market Profile Trading) Against Retail Traders - Duration: 1:06:47. Trading Nut 17,237 views Summary Of Forex - Part 1 #SFM. SJC Institute. Loading... Unsubscribe from SJC Institute? ... Forex Made Easy CA Final SFM CFA Archana Khetan - Duration: 22:20. Study At Home 21,136 views. 22 ... The Quarters Theory in FX Trading http://www.financial-spread-betting.com/forex/forex-trading.html PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! This t... Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. X-Axis defines the distance between the selected corner on the X-axes and the dashboard. Y-Axis defines the distance between the selected corner on the Y-axe... View our Top 7 MT4 Tips and Tricks here: https://www.gomarkets.com.au/7-of-our-best-metatrader-4-tips-and-tricks/ Printing Out a MT4 Trading Statement and Ac... Support the channel by getting How to Day Trade for a Living by Andrew Aziz here: https://amzn.to/2oYNgQq As an Amazon Associate I earn from qualified purcha... Brief Summary Of Forex Trading By: Stefan Rockhaus The foreign exchange market is widely known as "Forex". Here brokerage firms and banks are linked over an electronic network. This network ...

https://arab-binary-option.miredfsyndlage.tk