bloomberg terminal Forex Factory

Bloomberg - Are you a robot?

fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex

Bloomberg - Are you a robot? To continue, please click the box below to let us know you're not a robot.
Continue reading at: https://www.bloomberg.com/opinion/articles/2019-01-23/running-a-hedge-fund-isn-t-all-bad
submitted by silahian to quant_hft [link] [comments]

Bloomberg - Are you a robot?

fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex

Bloomberg - Are you a robot? To continue, please click the box below to let us know you're not a robot.
Continue reading at: https://www.bloomberg.com/professional/blog/bloomberg-puts-power-python-hedgers-hands/
submitted by silahian to quant_hft [link] [comments]

Bloomberg - Are you a robot?

fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex

Bloomberg - Are you a robot? To continue, please click the box below to let us know you're not a robot.
Continue reading at: https://www.bloomberg.com/opinion/articles/2019-01-23/running-a-hedge-fund-isn-t-all-bad
submitted by silahian to quant_hft [link] [comments]

Markets Still Have Not Priced in a Biden Win, Says Forex Analytix | Bloomberg Markets and Finance

Markets Still Have Not Priced in a Biden Win, Says Forex Analytix | Bloomberg Markets and Finance submitted by All-Seeing-Bot to NewsVidFeed [link] [comments]

Turkish central bank to apply commission on forex required reserves: Bloomberg HT

Turkish central bank to apply commission on forex required reserves: Bloomberg HT submitted by james33299 to StateoftheUnionNONF [link] [comments]

OANN: Turkish central bank to apply commission on forex required reserves: Bloomberg HT

OANN: Turkish central bank to apply commission on forex required reserves: Bloomberg HT submitted by thefeedbot to TheNewsFeed [link] [comments]

Where do you get your news from?

I’m starting to get into trading and I want to know how you guys get your news that affect the major currency pairs. Do you guys have notifications to certain media outlets?
submitted by LAADIKER to Forex [link] [comments]

These can be listed as: NetDania Stock and Forex Trader, Trade Interceptor, Bloomberg Business Mobile App, thinkorswim Mobile. #Forex #Bitcoin

These can be listed as: NetDania Stock and Forex Trader, Trade Interceptor, Bloomberg Business Mobile App, thinkorswim Mobile. #Forex #Bitcoin submitted by forexbtcs01 to u/forexbtcs01 [link] [comments]

Bloomberg puts the power of python in hedgers’ hands #fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex

Bloomberg puts the power of python in hedgers’ hands #fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex submitted by silahian to quant_hft [link] [comments]

Bloomberg Says Key Indicator Bullish on Bitcoin, XRP Hits Forex Exchange, and Tron Imposter Exposed: Crypto Update https://goo.gl/XAete3 - Crypto Dynamic Info - Whales's

Posted at: February 20, 2019 at 03:17AM
By:
Bloomberg Says Key Indicator Bullish on Bitcoin, XRP Hits Forex Exchange, and Tron Imposter Exposed: Crypto Update https://goo.gl/XAete3
Automate your Trading via Crypto Bot : http://bit.ly/2GynF9t
Join Telegram Channel for FREE Crypto Bot: Crypto Signal
submitted by cryptotradingbot to cryptobots [link] [comments]

Bloomberg Says Key Indicator Bullish on Bitcoin, XRP Hits Forex Exchange, and Tron Imposter Exposed: Crypto Update - The Daily Hodl

Bloomberg Says Key Indicator Bullish on Bitcoin, XRP Hits Forex Exchange, and Tron Imposter Exposed: Crypto Update - The Daily Hodl submitted by ulros to fbitcoin [link] [comments]

Any Good Forex News Ticker

Hey, Can somebody recommend a reliable news ticker, which even shows the impact on the market? Thanks in advance 🤝
submitted by Coppercard to Daytrading [link] [comments]

What is bloomberg? It's a tool I use to help me analyze a security. Forex, Stocks, Futures, etc. Learn more at bladestrades.com

What is bloomberg? It's a tool I use to help me analyze a security. Forex, Stocks, Futures, etc. Learn more at bladestrades.com submitted by Blades_Trades to u/Blades_Trades [link] [comments]

Former investment bank FX trader: news trading and second order thinking

Former investment bank FX trader: news trading and second order thinking
Thanks to everyone who responded to the previous pieces on risk management. We ended up with nearly 2,000 upvotes and I'm delighted so many of you found it useful.
This time we're going to focus on a new area: reacting to and trading around news and fundamental developments.
A lot of people get this totally wrong and the main reason is that they trade the news at face value, without considering what the market had already priced in. If you've ever seen what you consider to be "good" or "better than forecast" news come out and yet been confused as the pair did nothing or moved in the opposite direction to expected, read on...
We are going to do this in two parts.
Part I
  • Introduction
  • Why use an economic calendar
  • How to read the calendar
  • Knowing what's priced in
  • Surveys
  • Rates decisions
  • First order thinking vs second order thinking

Introduction

Knowing how to use and benefit from the economic calendar is key for all traders - not just news traders.
In this chapter we are going to take a practical look at how to use the economic calendar. We are also going to look at how to interpret news using second order thinking.
The key concept is learning what has already been ‘priced in’ by the market so we can estimate how the market price might react to the new information.

Why use an economic calendar

The economic calendar contains all the scheduled economic releases for that day and week. Even if you purely trade based on technical analysis, you still must know what is in store.

https://preview.redd.it/20xdiq6gq4k51.png?width=1200&format=png&auto=webp&s=6cd47186db1039be7df4d7ad6782de36da48f1db
Why? Three main reasons.
Firstly, releases can help provide direction. They create trends. For example if GBPUSD has been fluctuating aimlessly within a range and suddenly the Bank of England starts raising rates you better believe the British Pound will start to move. Big news events often start long-term trends which you can trade around.
Secondly, a lot of the volatility occurs around these events. This is because these events give the market new information. Prior to a big scheduled release like the US Non Farm Payrolls you might find no one wants to take a big position. After it is released the market may move violently and potentially not just in a single direction - often prices may overshoot and come back down. Even without a trend this volatility provides lots of trading opportunities for the day trader.

https://preview.redd.it/u17iwbhiq4k51.png?width=1200&format=png&auto=webp&s=98ea8ed154c9468cb62037668c38e7387f2435af
Finally, these releases can change trends. Going into a huge release because of a technical indicator makes little sense. Everything could reverse and stop you out in a moment. You need to be aware of which events are likely to influence the positions you have on so you can decide whether to keep the positions or flatten exposure before the binary event for which you have no edge.
Most traders will therefore ‘scan’ the calendar for the week ahead, noting what the big events are and when they will occur. Then you can focus on each day at a time.

Reading the economic calendar


Most calendars show events cut by trading day. Helpfully they adjust the time of each release to your own timezone. For example we can see that the Bank of Japan Interest Rate decision is happening at 4am local time for this particular London-based trader.

https://preview.redd.it/lmx0q9qoq4k51.jpg?width=1200&format=pjpg&auto=webp&s=c6e9e1533b1ba236e51296de8db3be55dfa78ba1

Note that some events do not happen at a specific time. Think of a Central Banker’s speech for example - this can go on for an hour. It is not like an economic statistic that gets released at a precise time. Clicking the finger emoji will open up additional information on each event.

Event importance

How do you define importance? Well, some events are always unimportant. With the greatest of respect to Italian farmers, nobody cares about mundane releases like Italian farm productivity figures.
Other events always seem to be important. That means, markets consistently react to them and prices move. Interest rate decisions are an example of consistently high importance events.
So the Medium and High can be thought of as guides to how much each event typically affects markets. They are not perfect guides, however, as different events are more or less important depending on the circumstances.
For example, imagine the UK economy was undergoing a consumer-led recovery. The Central Bank has said it would raise interest rates (making GBPUSD move higher) if they feel the consumer is confident.
Consumer confidence data would suddenly become an extremely important event. At other times, when the Central Bank has not said it is focused on the consumer, this release might be near irrelevant.

Knowing what's priced in

Next to each piece of economic data you can normally see three figures. Actual, Forecast, and Previous.
  • Actual refers to the number as it is released.
  • Forecast refers to the consensus estimate from analysts.
  • Previous is what it was last time.
We are going to look at this in a bit more detail later but what you care about is when numbers are better or worse than expected. Whether a number is ‘good’ or ‘bad’ really does not matter much. Yes, really.

Once you understand that markets move based on the news vs expectations, you will be less confused by price action around events

This is a common misunderstanding. Say everyone is expecting ‘great’ economic data and it comes out as ‘good’. Does the price go up?
You might think it should. After all, the economic data was good. However, everyone expected it to be great and it was just … good. The great release was ‘priced in’ by the market already. Most likely the price will be disappointed and go down.
By priced in we simply mean that the market expected it and already bought or sold. The information was already in the price before the announcement.
Incidentally the official forecasts can be pretty stale and might not accurately capture what active traders in the market expect. See the following example.

An example of pricing in

For example, let’s say the market is focused on the number of Tesla deliveries. Analysts think it’ll be 100,000 this quarter. But Elon Musk tweets something that hints he’s really, really, really looking forward to the analyst call. Tesla’s price ticks higher after the tweet as traders put on positions, reflecting the sentiment that Tesla is likely to massively beat the 100,000. (This example is not a real one - it just serves to illustrate the concept.)

Tesla deliveries are up hugely vs last quarter ... but they are disappointing vs market expectations ... what do you think will happen to the stock?

On the day it turns out Tesla hit 101,000. A better than the officially forecasted result - sure - but only marginally. Way below what readers of Musk's twitter account might have thought. Disappointed traders may sell their longs and close out the positions. The stock might go down on ‘good’ results because the market had priced in something even better. (This example is not a real one - it just serves to illustrate the concept.)

Surveys

It can be a little hard to know what the market really expects. Often the published forecasts are stale and do not reflect what actual traders and investors are looking for.
One of the most effective ways is a simple survey of investors. Something like a Twitter poll like this one from CNBC is freely available and not a bad barometer.
CNBC, Bloomberg and other business TV stations often have polls on their Twitter accounts that let you know what others are expecting

Interest rates decisions

We know that interest rates heavily affect currency prices.
For major interest rate decisions there’s a great tool on the CME’s website that you can use.

See the link for a demo

This gives you a % probability of each interest rate level, implied by traded prices in the bond futures market. For example, in the case above the market thinks there’s a 20% chance the Fed will cut rates to 75-100bp.
Obviously this is far more accurate than analyst estimates because it uses actual bond prices where market participants are directly taking risk and placing bets. It basically looks at what interest rate traders are willing to lend at just before/after the date of the central bank meeting to imply the odds that the market ascribes to a change on that date.
Always try to estimate what the market has priced in. That way you have some context for whether the release really was better or worse than expected.

Second order thinking

You have to know what the market expects to try and guess how it’ll react. This is referred to by Howard Marks of Oaktree as second-level thinking. His explanation is so clear I am going to quote extensively.
It really is hard to improve on this clarity of thought:
First-level thinking is simplistic and superficial, and just about everyone can do it (a bad sign for anything involving an attempt at superiority). All the first-level thinker needs is an opinion about the future, as in “The outlook for the company is favorable, meaning the stock will go up.” Second-level thinking is deep, complex and convoluted.
Howard Marks
He explains first-level thinking:
The first-level thinker simply looks for the highest quality company, the best product, the fastest earnings growth or the lowest p/e ratio. He’s ignorant of the very existence of a second level at which to think, and of the need to pursue it.
Howard Marks
The above describes the guy who sees a 101,000 result and buys Tesla stock because - hey, this beat expectations. Marks goes on to describe second-level thinking:
The second-level thinker goes through a much more complex process when thinking about buying an asset. Is it good? Do others think it’s as good as I think it is? Is it really as good as I think it is? Is it as good as others think it is? Is it as good as others think others think it is? How will it change? How do others think it will change? How is it priced given: its current condition; how do I think its conditions will change; how others think it will change; and how others think others think it will change? And that’s just the beginning. No, this isn’t easy.
Howard Marks
In this version of events you are always thinking about the market’s response to Tesla results.
What do you think they’ll announce? What has the market priced in? Is Musk reliable? Are the people who bought because of his tweet likely to hold on if he disappoints or exit immediately? If it goes up at which price will they take profit? How big a number is now considered ‘wow’ by the market?
As Marks says: not easy. However, you need to start getting into the habit of thinking like this if you want to beat the market. You can make gameplans in advance for various scenarios.
Here are some examples from Marks to illustrate the difference between first order and second order thinking.

Some further examples
Trying to react fast to headlines is impossible in today’s market of ultra fast computers. You will never win on speed. Therefore you have to out-think the average participant.

Coming up in part II

Now that we have a basic understanding of concepts such as expectations and what the market has priced in, we can look at some interesting trading techniques and tools.
Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases
Hope you enjoyed this note. As always, please reply with any questions/feedback - it is fun to hear from you.
***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

HSBC forex official arrested in U.S.: Bloomberg

submitted by 604nation to news [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]

Sources for historical ‘retail bank’ FX rates

Hello Forex,
I’d like to find a source for historical retail bank bid-offer rates for a project and compare that to Reuter’s/Bloomberg. (e.g.: from Citi/Western Union/Standard Chartered)
Hourly rate snapshot would be sufficient for a few years’ of data.
Your help and advice would be really appreciated. Thanks!
submitted by iirriirrii to Forex [link] [comments]

[Frances Coppola] RT @elerianm: Chart from #Bloomberg #Markets #fx #forex @business #Switzerland #eurozone https://t.co/H2lFSzqRE0

[Frances Coppola] RT @elerianm: Chart from #Bloomberg #Markets #fx #forex @business #Switzerland #eurozone https://t.co/H2lFSzqRE0 submitted by jeff98379 to newstweetfeed [link] [comments]

[Bloomberg Business] Goldman Sachs to pay $110 million to New York’s Department of Financial Services and the Fed for Forex conduct… https://t.co/I1K6E3yJtD

[Bloomberg Business] Goldman Sachs to pay $110 million to New York’s Department of Financial Services and the Fed for Forex conduct… https://t.co/I1K6E3yJtD submitted by jeff98379 to newstweetfeed [link] [comments]

Your Pre Market Brief for 07/16/2020

Pre Market Brief for Thursday July 16th 2020

You can subscribe to the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily 4:00 AM Pre Market Brief in this sub.
Updated as of 4:45 AM EST
-----------------------------------------------
Stock Futures:
Wednesday 07/15/2020 News and Markets Recap:
Thursday July 16th 2020 Economic Calendar (All times are in EST)
(JOBLESS CLAIMS TODAY)
News Heading into Thursday July 16th 2020:
NOTE: I USUALLY (TRY TO) POST MANY OF THE MOST PROMISING, DRAMATIC, OR BAD NEWS OVERNIGHT STORIES THAT ARE LIKELY IMPORTANT TO THE MEMBERS OF THIS SUB AT THE TOP OF THIS LIST. PLEASE DO NOT YOLO THE VARIOUS TICKERS WITHOUT DOING RESEARCH! THE TIME STAMPS ON THESE MAY BE LATER THAN OTHERS ON THE WEB.
Upcoming Earnings:
Commodities:
COVID-19 Stats and News:
Macro Considerations:
Most Recent SEC Filings
Other
-----------------------------------------------
Morning Research and Trading Prep Tool Kit
Other Useful Resources:
The Ultimate Quick Resource For the Amateur Trader.
Subscribe to This Brief and the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily brief in this sub
submitted by Cicero1982 to pennystocks [link] [comments]

Dollar is following its heart. Forecast as of 06.11.2020

Dollar is following its heart. Forecast as of 06.11.2020

Weekly US dollar fundamental analysis

Markets are just like people. They follow their hearts from time to time and forget about common sense. Investors like the idea of the division in the Congress and the Democratic president. In this scenario, the risks of tax hikes and high tech companies' strict regulation are much lower. This fact supports the stock indexes. The S&P 500 has been up by 1% and more during four consecutive trading sessions, which has been for the first time since 1982. In percentage terms, those days have been the best since early April. Markets consider Joe Biden to be a better president than Donald Trump, which allowed the yuan to gain back more than 50% of the losses faced during trade wars. The EURUSD tested the resistance at 1.186-1.187.
The growing chance of Biden’s victory encourages investors to spend the cash, which they have been accumulating ahead of the US presidential election. They are buying stocks and bonds. However, traders forget about other factors, such as the pandemic, uncertainty around the new fiscal stimulus, and Donald Trump’s willingness to reject the voting results. It looks like an attempt to give out desirable for valid. According to TD securities, there should not be any concerns about challenging the voting results, which has pushed the risky assets up and weakened the US dollar. DZ Bank believes that the greenback is falling because the voting results were reported earlier than some had expected. I do not think the above arguments to be strong.
I suppose traders are following their hearts. They invest the capitals in the securities as they worry not to miss the uptrend, which sends the S&P 500 up, fuels global risk appetite, and weakens the US dollar against a basket of currencies.

Dynamics of world's currencies versus the US dollar


Source: Financial Times
How long can it be going on? It depends. People in love are passionate during different periods. However, common sense should win sooner or later. The USA performs better than the euro area at the current stage of the economic cycle. The Fed is not willing to boost the monetary stimulus while the ECB tends to increase the current QE pace. According to Bloomberg’s leading indicators, the largest euro-area economies face a deeper drawdown in the PMIs because of the new lockdowns. The euro-area bond yields fall, which signals that the markets expect the ECB to take active measures in December.

Recovery of the world’s economies


Source: Bloomberg

Yields on the euro-area bonds


Source: Wall Street Journal

Weekly EURUSD trading plan

Let us be sensible during times of euphoria. Although the EURUSD has rebounded from the resistance at 1.186, the shorts entered in the zone seem vulnerable. It will be relevant to hold down the shorts if the pair goes below the support at 1.179. The S&P 500 rally could push the euro up above $1.188. The EURUSD medium-term outlook depends on whether the bulls can hold the price above 1.188.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/dollar-is-following-its-heart-forecast-as-of-06112020/?uid=285861726&cid=62423
submitted by Maxvelgus to Finance_analytics [link] [comments]

Will Aussie repeat the hat trick? Forecast as of 03.11.2020

Will Aussie repeat the hat trick? Forecast as of 03.11.2020
The second quarter is likely to be the same as the second one. However, the disaster is not going to be so dramatic. If so, we have a pattern to trade the AUDUSD. Let us discuss the Australian dollar outlook and make up a trading plan.

Monthly Australian dollar fundamental analysis

What doesn't kill makes one stronger. The RBA’s monetary expansion should have crashed the Australian dollar. RBA not only cut the cash rate down to the all-time low of 0.1% but also boosted the purchases of assets with a maturity of 5-10 years within QE by AU$100 billion. The RBA has become one of the first to react to the second pandemic wave. However, the AUDUSD, instead of falling, surged up to the bottom of figure 71. Bloomberg experts anticipate such measures of the regulator, and the time for maneuver was not right. It is not wise to ease monetary policy on the day of the US presidential election, is it?
According to Philip Lowe, the increase of the QE size will support economic recovery amid lower costs of funding and exchange rate, as well as higher assets’ price than it would be in the opposite case. RBA must have tried to improve financial conditions, as the Fed did. It was one of the reasons for the US economic growth in the third quarter. In the fourth quarter, the US GDP should face a downturn because of the difficult epidemiological situation. Australia, on the contrary, has coped with the coronavirus through a strict lockdown in Victoria. So, Australia’s GDP can well go up.

Dynamics of COVID-19 cases in Australia


https://preview.redd.it/z0b18quhc0x51.jpg?width=629&format=pjpg&auto=webp&s=ed290b23768a625aba0bb3c0a891f975388ab309
Source: Trading Economics
According to the RBA forecasts, Australia’s GDP in the 2020/2021 financial year will expand by 6%, in 2021/2022 - by another 4%. The forecast for the unemployment peak has been cut from 10% to 8%. The core inflation will grow by 1% in 2021, and by 1.5% in 2022.
In addition to the domestic positive factors, foreign news also supports Aussie. Despite the disputes between Australia and China, which imposed tariffs on Australian barley, launched an anti-dumping investigation into Australian wine, and suspended imports of coal and lobsters from Australia, I believe that the trade relationships will be improved. China is the largest market for Australia. China’s economic growth by 1.9%, according to the IMF forecast, will support the AUDUSD bulls. Based on the yuan price changes, the AUDUSD looks undervalued.

Dynamics of AUDUSD and USDCNY


https://preview.redd.it/mqvioyaic0x51.jpg?width=634&format=pjpg&auto=webp&s=8db6d6a5debdaf671ce4902ce6fc43f2960f4ebb
Source: Trading Economics

Monthly AUDUSD trading plan

In general, market sentiment indicates that the fourth quarter for the global economy will be similar to the second one, although the disaster scale will be smaller. If so, we have a pattern to trade the Aussie. In late March, I recommended buying the Australian dollar in the range of $0.59-$0.62 amid the expectations of the V-shaped recovery of China’s economy, and this trading idea was winning. Now, there is another chance to repeat the hat trick provided that Joe Biden wins the election.
Biden also promises to attack China for its economic and human rights violations, the US-China relations are going to improve. As a result, the entire Pacific region will benefit. Australia, with its successful COVID-19 strategy, is no exception. If Biden wins, buy the AUDUSD with targets at 0.729 and 0.733.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/will-aussie-repeat-the-hat-trick-forecast-as-of-03112020/?uid=285861726&cid=62423

submitted by Maxvelgus to Finance_analytics [link] [comments]

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