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Daytrading futures, forex, stocks, etc.
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Wall Street Forex

Like WSB, but instead of fucking with options, we fuck with forex
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How to Beat Wall Street. Trading ideas for stocks, forex and futures

Trading and investing ideas for stocks, forex, and futures. Let's come together to beat the street.
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How often are the articles on the Trading Ideas page of forex street "right"?

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Will Bernie Sanders’ “Wall Street speculation tax” impact forex trading?

This tax would impose a .5% tax on all stock trades, .1% tax on bond trades, and 0.005% tax on derivatives.
My question is, will this impact forex trading??
Obviously for day traders in the stock market, this will hurt big time. I’m not able to find any info anywhere on whether or not this will impact forex/currency trading.
https://www.cbo.gov/budget-options/2018/54823
https://www.google.com/amp/s/www.marketwatch.com/amp/story/guid/D445E464-1824-478B-8D43-7F36BD9367F8
submitted by Conye27 to Daytrading [link] [comments]

Will Bernie Sanders’ “Wall Street speculation tax” impact forex transactions?

This tax will impose a .5% tax on all stock trades, .1% tax on bond trades, and 0.005% tax on derivatives.
My question is, will this impact forex trading??
Obviously for day traders in the stock market, this will hurt big time. I’m not able to find any info anywhere on whether or not this will impact forex/currency trading.
https://www.cbo.gov/budget-options/2018/54823
https://www.google.com/amp/s/www.marketwatch.com/amp/story/guid/D445E464-1824-478B-8D43-7F36BD9367F8
submitted by Conye27 to Forex [link] [comments]

Request for Technicals feature to be implemented for this stock WALL STREET CFD FOREX.com :DJI

Just like you have implemented the technicals tab for DJI, please also do the same for its CFD as well, Wall Street CFD. This feature is badly needed.
submitted by xentosa to TradingView [link] [comments]

http://twitter.com/forex_in_world/status/1275238090483945472Aussie snaps losing streak as wall street posts modest gains https://t.co/SqZ2KfocqI— FOREX IN WORLD (@forex_in_world) June 23, 2020

http://twitter.com/forex_in_world/status/1275238090483945472Aussie snaps losing streak as wall street posts modest gains https://t.co/SqZ2KfocqI— FOREX IN WORLD (@forex_in_world) June 23, 2020 submitted by Red-its to forextweet [link] [comments]

Wall Street Forex

yo so i noticed /forexbets is inactive, seems like all the degenerates over there lost all their money and became homeless. it's time for a new generation of forex yoloers to take their place. if you're leverage isn't at least 1:500, fuck outta this subreddit
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@WSJ: Heard on the Street: Yearly reviews on Hong Kong's autonomy could become market events similar to the Treasury Department’s reports on international forex policies https://t.co/Jv1w88TuPh

submitted by -en- to newsbotbot [link] [comments]

Don't fuck around and forget where you came from.

Don't fuck around and forget where you came from. submitted by pizza603 to BlackPeopleTwitter [link] [comments]

Forex Trading| Algorithmic trading | Wall Street Investors

Forex Trading| Algorithmic trading | Wall Street Investors submitted by BestDiscountT to udemyfreebies [link] [comments]

Forex Trading| Algorithmic trading | Wall Street Investors Udemy Coupon | Real Discount

Forex Trading| Algorithmic trading | Wall Street Investors Udemy Coupon | Real Discount submitted by saadmerie to udemyfreebies [link] [comments]

Street Smart Forex Review – Is This Online Forex Trading System a Scam?

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Street Smart Forex Review – Is This Online Forex Trading System a Scam?

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Street Smart Forex Review – Is This Online Forex Trading System a Scam?

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Street Smart Forex Review – Is This Online Forex Trading System a Scam?

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BitGo Hires Former Wall Street Forex Trading Exec

BitGo Hires Former Wall Street Forex Trading Exec submitted by n4bb to CoinPath [link] [comments]

BitGo Hires Former Wall Street Forex Trading Exec

BitGo Hires Former Wall Street Forex Trading Exec submitted by Ranzware to BitNewsLive [link] [comments]

Coders who trade: Wall Street designs its staff for the future #fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex

Coders who trade: Wall Street designs its staff for the future #fintech #trading #algotrading #quantitative #quant #quants #hft ##markets #hedgefunds #fx #forex submitted by silahian to quant_hft [link] [comments]

Spent 24 hours in Hungary just to rack up a bunch of traffic fines

I took a road trip in September 2019 that went to six countries (Germany, Poland, Slovakia, Hungary, Austria, Czech Rep.).
We crossed the border into Hungary from Slovakia and drove straight to Budapest. We parked our car on the street outside a cafe for about 30 minutes to check into the hotel, after which the hotel gave us a pass to use their parking garage. Before parking on the side of the street, I made sure that there were no signs forbidding parking or requiring a permit to park. We did some sightseeing, spent the night in Budapest, and departed Hungary the next day.
These are the fines I managed to rack up from my 24 hour stay:
  1. Highway fine. I received a ticket in the mail around March 2020. Our rental car did not have a vignette for Hungary. Oops, my bad, I assumed that the rental company had taken care of vignettes. I paid the 80 Euro fine and never heard back from them again.
  2. Parking fine. This one made me extremely angry. I parked my car twice in Budapest: once for 30 minutes on the side of the street to check into the hotel, and after that in the hotel's private parking garage. I received a fine of 120 Euros in the mail around July 2020. Apparently, you need a permit just to bring your car into Budapest and park on the side of the street, and there are no signs anywhere telling you this?! They even have cameras everywhere to enforce this. I have driven a car in over a dozen European countries, and never have I seen anything this ridiculous. I paid the fine, but I was contacted by the agency saying that I was 10 Euros short. WTF? I paid what was on the invoice, so f*** you. I swear, these guys extort money from you like the mafia. Welcome to the world of forex.
  3. Another parking fine. Today, October 2020, over a year since I was in Hungary, I receive a letter postmarked from Sweden. Okay? Why would somebody in Sweden be sending mail to my address in the United States? I open the letter, and it was written in Hungarian. They want another 110 USD from me regarding a parking fine. F*** that. I am 100% done with this.
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Wall Street Traders Were Intense in 1980 (FOREX)

Wall Street Traders Were Intense in 1980 (FOREX) submitted by rentmypie to wallstreetbets [link] [comments]

Is Wall Street Now on Board with Cryptocurrencies - Forex Markets Live

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Daily Forex: Dollar Flat on Wall Street Loss

Daily Forex: Dollar Flat on Wall Street Loss submitted by FinanceBrokerage to u/FinanceBrokerage [link] [comments]

Former investment bank FX trader: News trading and second order thinking part 2/2

Former investment bank FX trader: News trading and second order thinking part 2/2
Thanks for all the upvotes and comments on the previous pieces:
From the first half of the news trading note we learned some ways to estimate what is priced in by the market. We learned that we are trading any gap in market expectations rather than the result itself. A good result when the market expected a fantastic result is disappointing! We also looked at second order thinking. After all that, I hope the reaction of prices to events is starting to make more sense to you.

Before you understand the core concepts of pricing in and second order thinking, price reactions to events can seem mystifying at times
We'll add one thought-provoking quote. Keynes (that rare economist who also managed institutional money) offered this analogy. He compared selecting investments to a beauty contest in which newspaper readers would write in with their votes and win a prize if their votes most closely matched the six most popularly selected women across all readers:
It is not a case of choosing those (faces) which, to the best of one’s judgment, are really the prettiest, nor even those which average opinions genuinely thinks the prettiest. We have reached the third degree where we devote our intelligences to anticipating what average opinion expects the average opinion to be.
Trading is no different. You are trying to anticipate how other traders will react to news and how that will move prices. Perhaps you disagree with their reaction. Still, if you can anticipate what it will be you would be sensible to act upon it. Don't forget: meanwhile they are also trying to anticipate what you and everyone else will do.

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

Preparing for quantitative and qualitative releases

The majority of releases are quantitative. All that means is there’s some number. Like unemployment figures or GDP.
Historic results provide interesting context. We are looking below the Australian unemployment rate which is released monthly. If you plot it out a few years back you can spot a clear trend, which got massively reversed. Knowing this trend gives you additional information when the figure is released. In the same way prices can trend so do economic data.

A great resource that's totally free to use
This makes sense: if for example things are getting steadily better in the economy you’d expect to see unemployment steadily going down.
Knowing the trend and how much noise there is in the data gives you an informational edge over lazy traders.
For example, when we see the spike above 6% on the above you’d instantly know it was crazy and a huge trading opportunity since a) the fluctuations month on month are normally tiny and b) it is a huge reversal of the long-term trend.
Would all the other AUDUSD traders know and react proportionately? If not and yet they still trade, their laziness may be an opportunity for more informed traders to make some money.
Tradingeconomics.com offers really high quality analysis. You can see all the major indicators for each country. Clicking them brings up their history as well as an explanation of what they show.
For example, here’s German Consumer Confidence.

Helpful context
There are also qualitative events. Normally these are speeches by Central Bankers.
There are whole blogs dedicated to closely reading such texts and looking for subtle changes in direction or opinion on the economy. Stuff like how often does the phrase "in a good place" come up when the Chair of the Fed speaks. It is pretty dry stuff. Yet these are leading indicators of how each member may vote to set interest rates. Ed Yardeni is the go-to guy on central banks.

Data surprise index

The other thing you might look at is something investment banks produce for their customers. A data surprise index. I am not sure if these are available in retail land - there's no reason they shouldn't be but the economic calendars online are very basic.
You’ll remember we talked about data not being good or bad of itself but good or bad relative to what was expected. These indices measure this difference.
If results are consistently better than analysts expect then you’ll see a positive number. If they are consistently worse than analysts expect a negative number. You can see they tend to swing from positive to negative.

Mean reversion at its best! Data surprise indices measure how much better or worse data came in vs forecast
There are many theories for this but in general people consider that analysts herd around the consensus. They are scared to be outliers and look ‘wrong’ or ‘stupid’ so they instead place estimates close to the pack of their peers.
When economic conditions change they may therefore be slow to update. When they are wrong consistently - say too bearish - they eventually flip the other way and become too bullish.
These charts can be interesting to give you an idea of how the recent data releases have been versus market expectations. You may try to spot the turning points in macroeconomic data that drive long term currency prices and trends.

Using recent events to predict future reactions

The market reaction function is the most important thing on an economic calendar in many ways. It means: what will happen to the price if the data is better or worse than the market expects?
That seems easy to answer but it is not.
Consider the example of consumer confidence we had earlier.
  • Many times the market will shrug and ignore it.
  • But when the economic recovery is predicated on a strong consumer it may move markets a lot.
Or consider the S&P index of US stocks (Wall Street).
  • If you get good economic data that beats analyst estimates surely it should go up? Well, sometimes that is certainly the case.
  • But good economic data might result in the US Central Bank raising interest rates. Raising interest rates will generally make the stock market go down!
So better than expected data could make the S&P go up (“the economy is great”) or down (“the Fed is more likely to raise rates”). It depends. The market can interpret the same data totally differently at different times.
One clue is to look at what happened to the price of risk assets at the last event.
For example, let’s say we looked at unemployment and it came in a lot worse than forecast last month. What happened to the S&P back then?

2% drop last time on a 'worse than expected' number ... so it it is 'better than expected' best guess is we rally 2% higher
So this tells us that - at least for our most recent event - the S&P moved 2% lower on a far worse than expected number. This gives us some guidance as to what it might do next time and the direction. Bad number = lower S&P. For a huge surprise 2% is the size of move we’d expect.
Again - this is a real limitation of online calendars. They should show next to the historic results (expected/actual) the reaction of various instruments.

Buy the rumour, sell the fact

A final example of an unpredictable reaction relates to the old rule of ‘Buy the rumour, sell the fact.’ This captures the tendency for markets to anticipate events and then reverse when they occur.

Buy the rumour, sell the fact
In short: people take profit and close their positions when what they expected to happen is confirmed.
So we have to decide which driver is most important to the market at any point in time. You obviously cannot ask every participant. The best way to do it is to look at what happened recently. Look at the price action during recent releases and you will get a feel for how much the market moves and in which direction.

Trimming or taking off positions

One thing to note is that events sometimes give smart participants information about positioning. This is because many traders take off or reduce positions ahead of big news events for risk management purposes.
Imagine we see GBPUSD rises in the hour before GDP release. That probably indicates the market is short and has taken off / flattened its positions.

The price action before an event can tell you about speculative positioning
If GDP is merely in line with expectations those same people are likely to add back their positions. They avoided a potential banana skin. This is why sometimes the market moves on an event that seemingly was bang on consensus.
But you have learned something. The speculative market is short and may prove vulnerable to a squeeze.

Two kinds of reversals

Fairly often you’ll see the market move in one direction on a release then turn around and go the other way.
These are known as reversals. Traders will often ‘fade’ a move, meaning bet against it and expect it to reverse.

Logical reversals

Sometimes this happens when the data looks good at first glance but the details don’t support it.
For example, say the headline is very bullish on German manufacturing numbers but then a minute later it becomes clear the company who releases the data has changed methodology or believes the number is driven by a one-off event. Or maybe the headline number is positive but buried in the detail there is a very negative revision to previous numbers.
Fading the initial spike is one way to trade news. Try looking at what the price action is one minute after the event and thirty minutes afterwards on historic releases.

Crazy reversals


Some reversals don't make sense
Sometimes a reversal happens for seemingly no fundamental reason. Say you get clearly positive news that is better than anyone expects. There are no caveats to the positive number. Yet the price briefly spikes up and then falls hard. What on earth?
This is a pure supply and demand thing. Even on bullish news the market cannot sustain a rally. The market is telling you it wants to sell this asset. Try not to get in its way.

Some key releases

As we have already discussed, different releases are important at different times. However, we’ll look at some consistently important ones in this final section.

Interest rates decisions

These can sometimes be unscheduled. However, normally the decisions are announced monthly. The exact process varies for each central bank. Typically there’s a headline decision e.g. maintain 0.75% rate.
You may also see “minutes” of the meeting in which the decision was reached and a vote tally e.g. 7 for maintain, 2 for lower rates. These are always top-tier data releases and have capacity to move the currency a lot.
A hawkish central bank (higher rates) will tend to move a currency higher whilst a dovish central bank (lower rates) will tend to move a currency lower.
A central banker speaking is always a big event

Non farm payrolls

These are released once per month. This is another top-tier release that will move all USD pairs as well as equities.
There are three numbers:
  • The headline number of jobs created (bigger is better)
  • The unemployment rate (smaller is better)
  • Average hourly earnings (depends)
Bear in mind these headline numbers are often off by around 75,000. If a report comes in +/- 25,000 of the forecast, that is probably a non event.
In general a positive response should move the USD higher but check recent price action.
Other countries each have their own unemployment data releases but this is the single most important release.

Surveys

There are various types of surveys: consumer confidence; house price expectations; purchasing managers index etc.
Each one basically asks a group of people if they expect to make more purchases or activity in their area of expertise to rise. There are so many we won’t go into each one here.
A really useful tool is the tradingeconomics.com economic indicators for each country. You can see all the major indicators and an explanation of each plus the historic results.

GDP

Gross Domestic Product is another big release. It is a measure of how much a country’s economy is growing.
In general the market focuses more on ‘advance’ GDP forecasts more than ‘final’ numbers, which are often released at the same time.
This is because the final figures are accurate but by the time they come around the market has already seen all the inputs. The advance figure tends to be less accurate but incorporates new information that the market may not have known before the release.
In general a strong GDP number is good for the domestic currency.

Inflation

Countries tend to release measures of inflation (increase in prices) each month. These releases are important mainly because they may influence the future decisions of the central bank, when setting the interest rate.
See the FX fundamentals section for more details.

Industrial data

Things like factory orders or or inventory levels. These can provide a leading indicator of the strength of the economy.
These numbers can be extremely volatile. This is because a one-off large order can drive the numbers well outside usual levels.
Pay careful attention to previous releases so you have a sense of how noisy each release is and what kind of moves might be expected.

Comments

Often there is really good stuff in the comments/replies. Check out 'squitstoomuch' for some excellent observations on why some news sources are noisy but early (think: Twitter, ZeroHedge). The Softbank story is a good recent example: was in ZeroHedge a day before the FT but the market moved on the FT. Also an interesting comment on mistakes, which definitely happen on breaking news, and can cause massive reversals.

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