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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.

submitted by getmrmarket to Forex [link] [comments]

Daily Habits that I use to trade order flow

  1. Record News Articles. Then you read through the news articles and save the key phrases,
paragraphs, quotes, etc, that give you insight into the markets expectations, sentiment, global
macro, etc, and then input these input your currency specific master file.

  1. Record Propriety News Impact Releases Method and input into your currency specific file.

  1. Record impact of any other intraday events which were not on calendar which moved the
market and input into the currency specific file using the news impact release method if possible.

  1. Record any key phrases and information released on IFR, forexlive, etc that gives you insights
into market expectations, sentiment, global macro, etc, and input into currency specific file. The
daily recap of the news articles will give you a very nice overview of what happened. However, I
usually like to quickly view the IFR and scroll through the news to see if there was anything
important that was said by an important official, etc. Or if the daily news articles do not give me
sufficient meaning as to why price did what it did for the day, then I can go to IFR to read some
of their explanations to see if I agree with their story and scenarios for the market. Again, any
important information I record it into my currency master files.
  1. Label the stops and option barrier levels on your chart and set price alerts to the two closest
ones – one to the topside and one for the downside. Then once one of those gets triggered, you
just reset the price alert to the next closest stop/barrier level. Check the stop hunting section to
learn how to locate the stops.
  1. Use your currency master file to perform deep scenario analysis.
  2. Create an order flow generator list and trigger sheet. Bullish and Bearish triggers and
generators for each currency / financial instrument. What is the market pricing in. What will
shatter those expectations. I have provided you Order Flow Generators for each currency in
a separate lesson. There can be similarities between the different currencies.
  1. Prepare for next days news. Use your currency master file which should contain the history of
news impacts that you have recorded in order to determine which reports are important and
which ones are meaningless and you should not spend your time on. See the news trading
section for explanations on how to know which news releases are important.
  1. Prepare a Correlation Analysis / Sensitivity Sheet.
  2. Learn about one new order flow generator and/or scenario per day either from forex, or
bonds, futures, stocks, commodities, etc. Can be super simple or complicated mix of
participants.
submitted by Fox-The-Wise to Forex [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

Detailed Monday scalp explanation!

Detailed Monday scalp explanation!
Dear Traders
Most people know me by now I'm the guy with the 10 pips that always put the same song in the video, because I just love it too much. haha
Well let's get down to business unfortunately I was too tired to write the explanation post yesterday, but it doesn't matter as long as you read through this carefully it doesn't matter when you read this :)
Let's start with the London lunch scalp. A lot of people haven't seen the post because it was posted at a non US friendly time. I'll link it here if you are interested before we get into detail.
Post: https://www.reddit.com/Forex/comments/h9f4q8/cable_scalp_london_lunch_session_the_red_line/?utm_source=share&utm_medium=web2x
So the reason for this entry came from the M15 Chart and you will see why I only take 10 pips and then out immediately.

London Lunch M15 Chart
What you are looking at here is the last up close candle before this "major" dump. What's important tho is that price also immediately went back up and traded over this candle. Now we just wait for price to dip into the red square and we have our free 10 pips. As you see shortly after price went lower so be careful with your target. On HTF if you see something like this it is more likely to give you more pips. Always keep in mind we are on M15/ a LTF so we target conservative!

M1 London Lunch Chart
Just to complete the explanation, here's the M1 chart. Red line was the TP. Square Entry as explained.

Most people probably seen the NY video but I will also link it here.
Post: https://www.reddit.com/Forex/comments/h9i9gf/another_ny_session_another_10_pips_i_messed_up/?utm_source=share&utm_medium=web2x
The other scalp was made in NY and blew up way more. A lot of discussion, questions and accusing of gambling haha as usual. So what's special about this trade... it was my first trade I guess that was purely based of the M1 TF and not like a higher TF candle. Let's look into it.
M1 NY Session Chart
So this is unusual for my chart so many lines/squares ^^ So let's get started from top to bottom. Just a quick mention the two horizontal red lines are entry and TP.
  1. The diagonal line on the top is only there to visualize that the highs are not equal this is the first sign of bearishness.
  2. Red square: Wick of the last down close candle before price shoots up. The wick after price came back down is now seen as a bearish level so if price trades there I look for short entries.
  3. Blue Line: Bodys of the previous low. Candles closed below that line confirming that the low will be broken any time. Price went back up a little and I immediately took action on that. 2 Minutes later price showed me that my levels are accurate and I don't need to FOMO. I should have been patient, so I learned something from this trade!
This wraps up the teaching of my monday scalps!
I might not post tomorrow since I'll not be home and screen recording might be to stressful. We'll see.
Cheers!
submitted by Flotschgee to Forex [link] [comments]

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

Author: Christian Hsieh, CEO of Tokenomy
This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets.
The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1.
However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.

Demand for U.S. Dollars

Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4.

https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6

https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f
This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate.

https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69
Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions.

Source: Bloomberg
Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.

The Rise of Crypto Dollars

Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13.

https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1
An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.

Institutional Developments

In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero.
J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications.
Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19.

https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0
These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.

Future Opportunities

There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation. Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry.
There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish.
In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world.
Thank you.

Reference:
[1] How the US dollar became the world’s reserve currency, Investopedia
[2] The dollar is in high demand, prone to dangerous appreciation, The Economist
[3] Dollar dominance in trade and finance, Gita Gopinath
[4] Global trades dependence on dollars, The Economist & IMF working papers
[5] Total credit to non-bank borrowers by currency of denomination, BIS
[6] Biggest stock exchanges in the world, Business Insider
[7] McKinsey Global Private Market Review 2020, McKinsey & Company
[8] Central banks current interest rates, Global Rates
[9] Venezuela hyperinflation hits 10 million percent, CNBC
[10] Lebanon inflation crisis, Reuters
[11] Venezuela cryptocurrency market, Chainalysis
[12] The most used cryptocurrency isn’t Bitcoin, Bloomberg
[13] Trading volume of all crypto assets, coinmarketcap.com
[14] Tether US dollar peg is no longer credible, Forbes
[15] New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk
[16] Remittance Price Worldwide, The World Bank
[17] Interbank Information Network, J.P. Morgan
[18] Jamie Dimon interview, CBS News
[19] Rise of the central bank digital currency, BIS
[20] Speech by Andrew Bailey, 3 September 2020, Bank of England
submitted by Tokenomy to tokenomyofficial [link] [comments]

Explanation of the previous week

Explanation of the previous week
Hello fellow Traders!
I don't know if you have noticed me but recently I have posted some videos and charts of mine that showed me trading a 10 pip model during London and NY session. Due to the rules my posts got deleted or made invisible. I also got banned from this sub afterwards. A discussion with a mod made him unban me and giving me one last chance.
Well now I try to better myself so I'm here explaining what were the reasons of my trades previous week.
As already told I right now created a new Forex Account just for Reddit where I consistently trade 10+ pips a day, always starting Tuesday since I don't trade Monday (personal reasons). I will continue showing my trading videos just with a better explanation of why I took the trade so you guys can learn from it if you want. I hope by now it should be clear that I'm not doing this for show off purposes since I wouldn't put in so much effort into one thread. So let's review last weeks trades shall we.
Just a heads up you will NEVER find Indicators or other tools in my charts. I trade with a blank chart but for the learning purposes I will outline areas of interest and try to explain as good as I can for you to understand.

H4 Cable chart

My first post was about this H4 GBPUSD Chart. I outlined the the important areas with the brown squares. So first we see price coming down to the last black candle of the low. The last candle of a swing low will often make price go up one more time before breaking the low. In this case price went up to a previous area where a lot of selling took place (the outlined green candle). Why a green candle?? Well in order to resell price has to go up. We don't sell a black candles ;)As you can see once price reached the sensitive selling area price drops lower breaking the low on the left.
I think you can already see that just by using this you could have made 100+ pips just on Friday with almost no draw down. But I don't wanna make you greedy that's why I will continue with my 10 pip model. So let's look into one trade I actually took.

Cable 1 Minute chart
I think the video showing that trade got deleted but I think you can still see it on my profile if you are curious. Well what you see hear is not much different than the H4 Chart. Price traded into a last down close candle of a swing low went back up to a area of selling and then we go down breaking the low. The red lines show my SL and TP while he square shows where my entry was and will be. :)
The reason why I can take this trade and be 100% sure it will be winner is that I know that the H4 chart wants to go lower so obviously a M1 chart will do. I just like to enter a trade and have profits within minutes. I have swing, intraday traded before tho and I can perform just like on a M1 chart but that's just where I feel most comfortable.
Well this wraps up my little teaching!
Enjoy your weekend.
submitted by Flotschgee to Forex [link] [comments]

BrokerXP Reviews

BrokerXP Reviews

My perspective of How BrokerXP review help me and how can help you also.

In this review, we are taking a look at a trading platform that is used by traders all around the world. BrokerXP offers a varied range of financial products with competitive fees and an easy-to-use trading interface.
With advanced trading tools and charting features.

BrokerXP Slogan

BrokerXP Fees

If trading fees are important to you, then BrokerXP has you covered. BrokerXP offers low spreads that are available to all customers. For forex traders, BrokerXP has no fees at all, this means that you can maximize profits when trading currency pairs. The broker also offers a guaranteed stop-loss order which Is when clients get their stop-loss order rate guaranteed when setting a risk threshold in their position. BrokerXP also offers a 200:1 leverage ratio, which means that for every $1 in your account, you control $200 in the market. So if you are trading and don’t have much capital, you can still generate significant income as your profits can be multiplied by 200x. However, if you are a beginner then it is not advised that you use leverage on your trades. As profits are multiplied, so are losses. Before leveraging, learn the basics and trade using a demo account as this can stop you from losing too much money when you start trading actual capital.

BrokerXP Security

MT4 and BrokerXP have end-to-end encryption that secures trades and funds that are within the trading account itself. Imagine your trading account like a debit card, you wouldn’t put thousands of dollars in your debit card and leave it on a park bench. So when choosing what trading platform you want to go with, make sure that they take the security of your account and funds are serious as you do.
To find more answers please watch this video
https://www.youtube.com/watch?v=VyMdFz8Rh18

BrokerXP MT4

MetaTrader 4 is seen as the flagship trading platform, used by individual traders at home and large institutional investors alike. The platform is available on iPads, iPhones, Android phones, Android tablets, and just about any other web-enabled device. If you want to use the desktop version, instead of the web-app version, then you can download the desktop version and trade from the version. Once you’ve downloaded or loaded the platform, you can log in using your BrokerXP credentials. You can customize the charting interface, changing between light and dark mode, along with some other interface elements. Like with most online platforms, the security flaws come as a result of the customer not securing their side of things. This means that when you are trading, make sure to use long passwords that are difficult to guess and crack. Also, try and avoid trading on public computers as these can lead to your account being compromised.
On MT4 you will notice some phrases on the trading interface, here is some explanation of what they mean. When you see the Symbol tab, this means that you can choose between markets. BrokerXP offers many different trading asset options. You can trade forex, gold, stocks indices, and more. The volume tab is where you decide on your trading size. When you see 1 lot, this is equal to 100,000 units of the base currency. The Type tab is where you decide on your trade execution mode, we advise that you stick to ‘instant execution’ as this will place a trade as soon as your press ‘buy’ or ‘sell’. If you set a ‘pending order’, then the platform will make the trade when the market opens back up. The forex market is open 24/7, so this execution method will rarely be available. Stop-loss is another term that you may see on the MT4 interface, this means that your trades are exited when your profits hit a predetermined point.
Depending on what type of trader you are, the platform will offer you a specific set of charting timeframes that best suit you. For example, if you are day trading you may look at charts on a 10-minute timeframe. MT4 offers charting timeframes for 1 minute, 5 minutes, 10 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, 1 day, and 1 month. You can also set custom timeframes in case the standard ones are not suitable for your trading technique.
Along with advanced timeframes, MT4 also offers 30 technical indicators such as the Elliot Wave indicator, Bollinger Bands, and pivot points, along with many more. There are also third-party add-ons that can be integrated with the platform in order to customize your interface further. Add-ons like Stealth Orders and Alarm Manager are two of the most popular addons. The first is an extension, Stealth Orders is designed to anonymize trades, with Alarm Manager helping coordinate alerts and notifications. With MT4, you can also create your own extensions using Java API, which is one of the platforms most advantageous features, as it can make everything unique.

BrokerXP Mobile Trading

The MetaTrader 4 mobile app is designed with the main focus being on ease-of-use. The mobile app is packaged with lots of research tools, advanced charts, and watch lists for scanning, with many more features.
When using BrokerXP’s mobile trading app (MT4), the look and feel of the mobile app have the same appearance as the web version. This means that if you know to operate the web-based platform, then the mobile app will be easy for you to grasp. With charting, you are given the same charts that are offered on the web app. However, due to the mobile screen being smaller, carrying out advanced forex analysis may be more difficult on mobile devices. But for making orders, setting stop loss or checking basic tasks, the mobile app is more than capable of doing so. The main benefit of using the mobile app is that you can make trades on the go. You no longer have to be at your computer or office in order to set trades. Let’s say that you make a trade at home then go grocery shopping. Whilst you are out you realize that you didn’t set stop-loss in your rush and your pair is depreciating when you check. Now, you can use your mobile to exit a position immediately, you don’t need to wait until you get home.

BrokerXP Customer Service

BrokerXP has a great dedicated customer service team, they are very professional and offer solutions to all of the problems that you could present them with. If you are a new trader, then you may encounter some problems when trying to get to grips with a new trading platform, so BrokerXP offers extensive educational resources. These educational resources are designed to help people familiarise themselves with the platform and all of the financial assets that are available to be traded on the BrokerXP platform. The MT4 platform also has a customer support team that is able to deal with any questions or issues that you are having on the trading side of things. MT4 also has a community section for traders, where questions about trading can get answered. A community forum is a great place for you to get tips about trading and non-essential things that the customer support team may not need to answer.
For customer service, you could read here and on this link.
To conclude, BrokerXP is one of the best choices for financial asset trading available.
Their low fees and advanced features make it perfect for beginners and pros alike.
For more reviews, you should visit official reviews on the website, Trustpilot and Sitejabber.
We highly suggest visiting also on Patch following links for more info and updated news
https://patch.com/california/los-angeles/calendaevent/20200929/898131/brokerxp-reviews-are-happening
https://patch.com/california/los-angeles/classifieds/announcements/171418/brokerxp-is-having-own-reviews-in-pacific-palisades
submitted by vds_private_server to brokerxpreviewers [link] [comments]

Forex Correlation

I believe it would be extremely helpful/valuable to have available a Forex Correlation table that displays the trade correlations of all currencies in different time intervals (Day, 4 Hour, 2 Hour, 1 Hour, 30 Minute, and 5 Minute). The tables should represents the correlation between the various parities of the foreign exchange market.
The correlation coefficient highlights the similarity of the movements between two parities.

It could be placed under the "Forex Screener" tab at the bottom of the charts for easy access; if you develop this feature.
ideal source: https://www.mataf.net/en/forex/tools/correlation
explanation of currency pair correlation: https://www.fxcm.com/markets/insights/what-is-a-currency-correlation/
submitted by palmercar to TradingView [link] [comments]

I am a professional Day Trader working for a Prop Fund, Hope I can help people out and answer some questions

Howdy all, I work professionally for a proprietary trading fund, and have worked for quite a few in my time, hope I can offer some insights on trading etc you guys might have.
Bonus for you guys
Here are the columns in my trading journal and various explanations where appropriate:
Trade Number – Simply is this the first trade of the year? The 10th?, The 50th? I count a trade
that you opened and closed just one trade number. For example if you buy EUUSD today and
sell it 50 pips later in the day and close out the trade, then that is just one trade for recording
purposes. I do not create a second trade number to describe the exit. Both the entry and exit are
under the same trade number.


Ticket Number – This is ticket number / order ID number that your broker gives you for the trade
on your platform.


Day of the Week – This would be simply the day of the week the trade was initiated


Financial Instrument / Currency Pair – Whatever Financial Instrument or currency pair you are
trading. If you are trading EUUSD, put EUUSD. If you are trading the EuroFX futures
contract, then put in Euro FX. If you are trading the emini S&P, then put in Emini S&P 500. If
you are trading a stock, put in the ticker symbol. Etc.


Buy/Sell or Long/Short – Did you buy or sell to open the new trade? If you bought something to
open the trade, then write in either BUY or LONG. If you sold(shorted) something to open a
trade, then write in SOLD, or SHORT. This is a personal preference. Some people like to put in
their journals as BUY/SELL. Other people like to write in Long/Short. My preference is for
writing in long/short, since that is the more professional way to say it. I like to use the lingo
where possible.


Order Type – Market or Limit – When you entered the trade was it a market order or limit order?
Some people can enter a trade using a combination of market and limit orders. If you enter a
trade for $1 million half of which was market order and the other half was limit order, then you
can write in $500,000 Market, $500,000 Limit as a bullet points.


Position Size / Units / Contracts / Shares – How big was the total trade you entered? If you
bought 1 standard lot of a currency pair, then write in $100,000 or 1 standard lot. If you bought 5
gold futures contracts, then write in 5 contracts. If you bought 1,000 shares of stock, then write
in 1,000 shares. Etc.


Entry Price – The entry price you received entering your opening position. If you entered at
multiple prices, then you can either write in all the different fills you got, or specify the average
price received.


Entry Date – Date that you entered the position. For example January 23, 2012. Or you can
write in 1/23/12

.
Entry Time – Time that you opened the position. If it is multiple positions, then you can specify
each time for each various fill, or you can specify the time range. For example if you got
$100,000 worth of EUUSD filled at 3:00 AM EST, and another $100,000 filled at 3:05 and
another $100,000 filled at 3:25, then you can write all those in, or you can specify a range of 3:00
– 3:30 AM EST.


Entry Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in
pips. If you executed a market order, how many pips did you pay in spread.


Entry Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in
dollars. If you executed a market order, how many dollars did you pay in spread.


Stop Loss Size – How big is your stop loss size? If you are trading a currency pair, then you
write in the pips. If you are trading the S&P futures contract, then write in the number of points.
If you are trading a stock, then write in how many cents or dollars your stop is away from your
entry price.


% Risk – If you were to get stopped out of the trade, how much % loss of your equity is that?
This is where you input your risk per trade expressed in % terms if you use such a position sizing
method. If you risked 0.50% of your account on the trade, then put in 0.50%


Risk in dollars – If you were to get stopped out of the trade, how much loss in dollars is that. For
example if you have a $100,000 account and you risked 1% on a trade, then write in $1,000
dollars


Potential Reward: Risk Ratio – This is a column that I only sometimes fill in. You write in what
the potential reward risk ratio of the trade is. If you are trading using a 100 pip stop and you
expect that the market can reasonably move 300 pips, then you can write in 3:1. Of course this is
an interesting column because you can look at it after the trade is finished and see how close you
were or how far removed from reality your initial projections were.


Potential Win Rate – This is another column that I only sometimes fill in. You write in what you
believe the potential win rate of this trade is. If you were to place this trade 10 times in a row,
how many times do you think you would win? I write it in as percentage terms. If you believe
the trade has a 50% chance to win, then write in 50%.


Type of Inefficiency – This is where you write in what type of inefficiency you are looking to
capture. I use the word inefficiency here. I believe it is important to think of trading setups as
inefficiencies. If you think in terms of inefficiencies, then you will think in terms of the market
being mispriced, then you will think about the reasons why the market is mispriced and why such
market expectations for example are out of alignment with reality. In this category I could write
in different types of trades such as fading the stops, different types of news trades, expecting
stops to get tripped, betting on sentiment intensifying, betting on sentiment reversing, etc. I do
not write in all the reasons why I took the trade in this column. I do that in another column. This
column is just to broadly define what type of inefficiency you are looking to capture.


Chart Time Frame – I do not use this since all my order flow based trades have nothing to do
with what chart time frame I look at. However, if you are a chartist or price action trader, then
you may want to include what chart time frame you found whatever pattern you were looking at.


Exit Price – When you exit your trade, you enter the price you received here.


Exit Date – The date you exited your trade.


Exit Time – The time you exited your trade.


Trade Duration – In hours, minutes, days or weeks. If the trade lasts less than an hour, I will
usually write in the duration in minutes. Anything in between 1 and 48 hours, I write in the hours
amount. Anything past that and I write it as days or weeks as appropriate, etc.
Pips the trade went against you before turning into a winner – If you have a trade that suffered a
draw down, but did not stop you out and eventually was a winner, then you write it how many
pips the trade went against you before it turned into a profitable trade. The reason you have this
column is to compare it to your stop loss size and see any patterns that emerge. If you notice that
a lot of your winning trades suffer a big draw down and get near your stop loss points but turn out
to be a profitable trade, then you can further refine your entry strategy to get in a better price.


Slippage on the Exit – If you get stopped out for a loss, then you write in how many pips you
suffered as slippage, if any. For example if you are long EUUSD at 1.2500 and have your stop
loss at 1.2400 and the market drops and you get filled at 1.2398, then you would write in -2 pips
slippage. In other words you lost 2 pips as slippage. This is important for a few different
reasons. Firstly, you want to see if the places you put your stop at suffer from slippage. If they
do, perhaps you can get better stop loss placement, or use it as useful information to find new
inefficiencies. Secondly, you want to see how much slippage your broker is giving you. If you
are trading the same system with different brokers, then you can record the slippage from each
one and see which has the lowest slippage so you can choose them.


Profit/Loss -You write in the profit and/or loss in pips, cents, points, etc as appropriate. If you
bought EUUSD at 1.2500 and sell it at 1.2550, you made 50 pips, so write in +50 pips. If you
bought a stock at $50 and you sell it at $60, then write in +$10. If you buy the S&P futures at
1,250 and sell them at 1,275, then write in +25 points. If you buy the GBP/USD at 1.5000 and
you sell it at 1.4900, then write in -100 pips. Etc. I color code the box background to green for
profit and red for loss.


Profit/Loss In Dollars – You write the profit and/or loss in dollars (or euros, or jpy, etc whatever
currency your account is denominated in). If you are long $100,000 of EUUSD at 1.2500 and
sell it at 1.2600, then write in +$1,000. If you are short $100,000 GBP/USD at 1.5900 and it
rises to 1.6000 and you cover, then write in -$1,000. I color code the box background to green
for profit and red for loss.


Profit/Loss as % of your account – Write in the profit and/or loss as % of your account. If a trade
made you 2% of your account, then write in +2%. If a trade lost 0.50%, then write in -0.50%. I
color code the box background to green for profit and red for loss.


Reward:Risk Ratio or R multiple: If the trade is a profit, then write in how many times your risk
did it pay off. If you risked 0.50% and you made 1.00%, then write in +2R or 2:1 or 2.0. If you
risked 0.50% and a trade only makes 0.10%, then write in +0.20R or 0.2:1 or 0.2. If a trade went
for a loss that is equal to or less than what you risked, then I do not write in anything. If the loss
is greater than the amount you risked, then I do write it in this column. For example lets say you
risk 0.50% on a stock, but overnight the market gaps and you lose 1.50% on a trade, then I would
write it in as a -3R.


What Type of trading loss if the trade lost money? – This is where I describe in very general
terms a trade if it lost money. For example, if I lost money on a trade and the reason was because
I was buying in a market that was making fresh lows, but after I bought the market kept on going
lower, then I would write in: “trying to pick a bottom.” If I tried shorting into a rising uptrend
and I take a loss, then I describe it as “trying to pick a top.” If I am buying in an uptrend and buy
on a retracement, but the market makes a deeper retracement or trend change, then I write in
“tried to buy a ret.” And so on and so forth. In very general terms I describe it. The various
ways I use are:
• Trying to pick a bottom
• Trying to pick a top
• Shorting a bottom
• Buying a top
• Shorting a ret and failed
• Wrongly predicted news
• Bought a ret and failed
• Fade a resistance level
• Buy a support level
• Tried to buy a breakout higher
• Tried to short a breakout lower
I find this category very interesting and important because when performing trade journal
analysis, you can notice trends when you have winners or losing trades. For example if I notice a
string of losing trades and I notice that all of them occur in the same market, and all of them have
as a reason: “tried to pick a bottom”, then I know I was dumb for trying to pick a bottom five
times in a row. I was fighting the macro order flow and it was dumb. Or if I notice a string of
losers and see that I tried to buy a breakout and it failed five times in a row, but notice that the
market continued to go higher after I was stopped out, then I realize that I was correct in the
move, but I just applied the wrong entry strategy. I should have bought a retracement, instead of
trying to buy a fresh breakout.


That Day’s Weaknesses (If any) – This is where I write in if there were any weaknesses or
distractions on the day I placed the trade. For example if you are dead tired and place a trade,
then write in that you were very tired. Or if you place a trade when there were five people
coming and out of your trading office or room in your house, then write that in. If you placed the
trade when the fire alarm was going off then write that in. Or if you place a trade without having
done your daily habits, then write that in. Etc. Whatever you believe was a possible weakness
that threw you off your game.


That Day’s Strengths (If any) – Here you can write in what strengths you had during the day you
placed your trade. If you had complete peace and quiet, write that in. If you completed all your
daily habits, then write that in. Etc. Whatever you believe was a possible strength during the
day.


How many Open Positions Total (including the one you just placed) – How many open trades do
you have after placing this one? If you have zero open trades and you just placed one, then the
total number of open positions would be one, so write in “1.” If you have on three open trades,
and you are placing a new current one, then the total number of open positions would be four, so
write in “4.” The reason you have this column in your trading journal is so that you can notice
trends in winning and losing streaks. Do a lot of your losing streaks happen when you have on a
lot of open positions at the same time? Do you have a winning streak when the number of open
positions is kept low? Or can you handle a lot of open positions at the same time?


Exit Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in pips.
If you executed a market order, how many pips did you pay in spread.


Exit Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in
dollars. If you executed a market order, how many dollars did you pay in spread.


Total Spread Cost (in pips) – You write in the total spread cost of the entry and exit in pips.


Total Spread Cost (in dollars) – You write in the total spread cost of the entry and exit in dollars.


Commission Cost – Here you write in the total commission cost that you incurred for getting in
and out of the trade. If you have a forex broker that is commission free and only gets
compensated through the spread, then you do not need this column.


Starting Balance – The starting account balance that you had prior to the placing of the trade


Interest/swap – If you hold forex currency pairs past the rollover, then you either get interest or
need to pay out interest depending on the rollover rates. Or if you bought a stock and got a
dividend then write that in. Or if you shorted a stock and you had to pay a dividend, then write
that in.


Ending Balance – The ending balance of your account after the trade is closed after taking into
account trade P&L, commission cost, and interest/swap.


Reasons for taking the trade – Here is where you go into much more detail about why you placed
the trade. Write out your thinking. Instead of writing a paragraph or two describing my thinking
behind the trade, I condense the reasons down into bullet points. It can be anywhere from 1-10
bullet points.


What I Learned – No matter if the trade is a win or loss, write down what you believed you
learned. Again, instead of writing out a paragraph or two, I condense it down into bullet points. it
can be anywhere from 1-10 bullet points. I do this during the day the trade closed as a profit or
loss.


What I learned after Long Term reflection, several days, weeks, or months – This is the very
interesting column. This is important because after you have a winning or losing trade, you will
not always know the true reasons why it happened. You have your immediate theories and
reasons which you include in the previous column. However, there are times when after several
days, weeks, or months, you find the true reason and proper market belief about why your trade
succeeded or failed. It can take a few days or weeks or months to reach that “aha” moment. I am
not saying that I am thinking about trades I placed ten months ago. I try to forget about them and
focus on the present moment. However, there will be trades where you have these nagging
questions about they failed or succeeded and you will only discover those reasons several days,
weeks, or months later. When you discover the reasons, you write them in this column.
submitted by Fox-The-Wise to Forex [link] [comments]

Wall Street Week Ahead for the trading week beginning September 23rd, 2019

Good Saturday morning to all of you here on wallstreetbets. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning September 23rd, 2019.

Week ahead: As stocks struggle to break to new highs, markets could be swayed by Fed speakers, trade - (Source)

Developments in U.S.-Chinese trade talks and the comments from a host of Fed speakers could be important for markets in the week ahead, as stocks struggle to regain highs.
The Fed in the past week cut interest rates for the second time in two months, but the latest forecasts of Fed officials showed just how divided they are on the need for future rate cuts. Five wanted deeper cuts, five didn’t want any cuts and another seven were happy with the Fed’s action.
“The market seems like it’s pretty jumpy based on what the say. i think it would flip back and forth depending on how the headlines come out,” said Tom Simons, money market economist at Jefferies. Simons said the focus will also be on the Fed’s operations in the short-term funding market, after turbulence in the overnight market in the past week temporarily sent some overnight rates sharply higher.
There are nearly a dozen Fed speakers on the calendar in the coming week, but Fed Chairman Jerome Powell is not scheduled to speak.
Trade developments could continue to cause volatility in markets. Reports Friday that Chinese agriculture officials canceled visits to farms in Montana and Nebraska sent stocks lower, for fear it signaled that talks were not making progress.
Stocks in the past week were lower, with the S&P off about 0.5% to 2,992. The index had been around 1% away from its all-time high for a few weeks.
“Tech that has been out of play and is acting faulty. it’s now turning into a headwind, and that could cause a problem for the bulls,” said Scott Redler, partner with T3Live.com. “I haven’t seen so many mixed signals in the market in quite some time.”
“It’s hard for the market to make new highs without tech. At best, it’s concerning when you see key names, like Amazon and Netflix, not just failing to lead but faltering,” he said. Netflix was down more than 8% for the week, and Amazon was off 2.6%.
Redler said it was a concern that shares of market leader Microsoft gave up its initial gains and turned negative, soon after it announced a buyback and raised its dividend. “Strength was sold instead of embraced,” he said. “That was good news. What are they going to do when bad news happens?”
Following the attacks on Saudi Aramco last week, the United Nations General Assembly in New York and meetings around it take on more importance for markets. U.S. and Saudi Arabian officials have said Iran was behind the attack, which knocked a significant amount of Saudi oil production off line. Iran has denied involvement, and Houthi rebels in Yemen have claimed responsibility.
Iran’ President Hassan Rouhani has been given a visa to travel to New York for the UN. Before the attack on Saudi Arabia last week, President Donald Trump had suggested he would speak to Rouhani but there seems little chance of that now. Oil have been highly volatile, with Brent crude futures up 7% since the attack as Saudi Arabia sought to assure markets that it would be able to bring its operations back on line.
There is some economic data that will also be important to markets. There is manufacturing PMI Monday, important after ISM manufacturing data showed a contraction in August. Durable goods will also be important on Friday, as will personal consumption data, which includes the Fed’s preferred inflation indicator, the core PCE deflator.
“What Powell said in his remarks was inflation was below his target,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “But even the core PCE deflator is expected to be 1.8, a new high for the year.” The Fed’s target inflation rate is 2%, and other inflation measures have been above that, including core CPI.
The Fed will also be in focus after problems in the overnight funding market, used by banks in need of short term cash. Rates spiked for repo, or repurchase agreements, in a chaotic two-day period Monday and Tuesday. The Fed’s target fed funds rate also moved above its target range, in an unusual move.
The market has since calmed after the Fed carried out open market operations to add liquidity to the market. On Friday, it announced three 14-day operations involving $30 billion as well as continued overnight operations of at least $75 billion each.
“I think the Fed has absolute control over short term rates. It was caught sleeping at the wheel,” said Chandler.
Powell said the Fed would monitor the market and take whatever action is needed. The market is considered the basic plumbing for financial markets, where banks who have a short-term need for cash come to fund themselves. The odd spike in rates was viewed as the result of a cash crunch, not a credit crisis.
Bond market pros have been concerned that the Fed would again see strains in the market at month end, when there’s more activity in the overnight funding market.
“It gets you further past quarter end,” said Jon Hill, rate strategist at BMO. “A 14-day pushes them further into October. I think nerves will have calmed. The fact you’ll see fed funds print clearly in the range will reassert confidence. These operations will serve as a reminder that the Fed can have absolute control the front end if and when it wants to. This is a good thing.”
The funds rate was at 1.90% Thursday, within the target rate range of 1.75% to 2%.
“They’re removing any doubt of their ability to take control of fed funds in the modern framework. They just announced $165 billion over quarter-end , and we may go bigger. They haven’t done a repo injection in 10 years,” said Hill.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

S&P 500 down 23 of 29 during week after September options expiration, average loss 0.95%

The week after September options expiration week, next week, has a dreadful history of declines especially since 1990. The week after September options expiration week has been a nearly constant source of pain with only a few meaningful exceptions over the past 29 years. Substantial and across the board gains have occurred just three times: 1998, 2001, 2010 and 2016 while many more weeks were hit with sizable losses.
Full stats are in the following sea-of-red table. Average losses since 1990 are even worse; DJIA –1.02%, S&P 500 –0.95%, NASDAQ –0.90% and a sizable –1.38% for Russell 2000. End-of-Q3 portfolio restructuring is the most likely explanation for this trend as managers trim summer losers and position for the fourth quarter.
(CLICK HERE FOR THE CHART!)

October Challenging in Pre-Election Years

October often evokes fear on Wall Street as memories are stirred of crashes in 1929, 1987, the 554-point drop on October 27, 1997, back-to-back massacres in 1978 and 1979, Friday the 13th in 1989 and the 733-point drop on October 15, 2008. During the week ending October 10, 2008, Dow lost 1,874.19 points (18.2%), the worst weekly decline in our database going back to 1901, in point and percentage terms. The term “Octoberphobia” has been used to describe the phenomenon of major market drops occurring during the month. Market calamities can become a self-fulfilling prophecy, so stay on the lookout and don’t get whipsawed if it happens.
(CLICK HERE FOR THE CHART!)
Pre-election year Octobers are ranked second from last for DJIA, S&P 500 and NASDAQ while Russell 2000 is dead last with an average loss of 1.9%. Eliminating gruesome 1987 from the calculation provides only a moderate amount of relief. Should a meaningful decline materialize in October it is likely to be an excellent buying opportunity, especially for depressed technology and small-cap shares.

Where’s That September Volatility?

September is historically known as one of the worst for stocks, yet in 2019 the S&P 500 Index is up 2.7% so far amid a sea of scary headlines. Incredibly, the S&P 500 has wavered less than 0.1% from its previous close 6 of the past 10 trading sessions, as it consolidates just beneath all-time highs.
“Over the past two weeks we’ve had the European Central Bank meeting, the Federal Reserve meeting, higher inflation, a historic jump in crude oil, Middle East turmoil, trouble in the repo market, and even multiple NFL quarterbacks sustaining major injuries,” said LPL Financial Senior Market Strategist Ryan Detrick. “Yet, with all of those scary headlines, stocks are actually in the midst of one of the least volatile two-week stretches we’ve seen in years.”
We are quite encouraged by the overall change in market tone we’ve heard recently, with more cyclical names taking the baton and leading, but with the S&P 500 up near our fair value target of 3,000, we would be on the lookout for this sea of tranquility to get rougher at any time. In fact, according to historical calendars, we may need to be on high guard for the second half of September.
As shown in the LPL Chart of the Day, The Second Half of September Can Be Tricky For Stocks, later in the month of September is when we’ve seen seasonal weakness. Things have been going well for equities in the face of some worrisome headlines, but don’t get complacent, as the calendar could be one of the biggest near-term risks.
(CLICK HERE FOR THE CHART!)

The Fed Hits It Down The Middle

“History does not repeat itself, but it rhymes.” Mark Twain
As expected, the Federal Reserve’s (Fed) policy committee cut its policy rate by 25 basis points (.25%) to a target range of 1.75%–2%. This comes on the heels of the first rate cut in more than 10 years at the end of July. This cut is somewhat more controversial, however, because the overall U.S. economic data has been improving, and there’s been a tick higher in inflation.
One of the most important questions heading into this meeting was how many voting Fed members would support additional rate cuts. There were two dissenting voting members at the July rate cut, and once again there were two votes opposed to today’s cut—but unlike last time, there was also one dissenter who favored a larger 50 basis point (.50%) cut. Materials in the economic projections indicated 10 of 17 participants (which includes non-voting members) did not believe additional cuts would be needed over the remainder of the year, although evolving economic conditions could certainly lead to a shift.
As the quote from Mark Twain suggests, by looking back at history we can potentially find clues as to what might happen in the future.
Looking back at the previous two recessions (2001 and 2008), the Fed cut rates 50 basis points (.50%) to kick off the new cycle of rate cuts. We looked back at what the Fed said at the time, and policymakers didn’t foresee a recession; the larger .50% cut might have been their way of showing how worried they really were at the time. In other words, maybe the Fed knew there potentially was trouble under the surface.
Compare this with three consecutive 25 basis point (.25%) cuts in the 1995/1996 and 1998 rate cut cycles, which led to continued equity gains and avoided recessions. Given we foresee one more cut this year, could it be another three cuts of 25 basis points (.25%) and then an economic acceleration?
“Here’s the catch. When the first two cuts in a new cycle of rate cuts are only 25 basis points, this could be the Fed’s way of truly viewing the cuts as insurance,” explained LPL Financial Senior Market Strategist Ryan Detrick. “In fact, the past five cycles of cuts that started with two 25 basis point cuts saw the S&P 500 Index move higher 6 and 12 months later every single time.”
As shown in the LPL Chart of the Day, Stocks Have Historically Done Well If The First Two Fed Rate Cuts Are 25 Basis Points, the S&P 500 was up an average of 9.7% six months after the second of two 25 basis point cuts to kick off a new cycle of rate cuts. Going out a year, the S&P 500 had gained a very impressive average of 16.7%.
(CLICK HERE FOR THE CHART!)

Strong Start for September, but Second Half Could Bring Trouble

As of Friday’s close the market is well above historical average performance in September. DJIA was up nearly 3.1%, S&P 500 was up 2.8%, NASDAQ and Russell 1000 were up 2.7% while Russell 2000 was up 5.6%. Small-caps outperforming large-caps recently is not unusual and they did so again today. However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 29 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
(CLICK HERE FOR THE CHART!)

Broader Transports Still Outperforming YTD

With shares of FedEx (FDX) on pace for their second worst earnings reaction day since at least 2001, the Dow Transports, an index in which FDX has a weighting of over 8% (after today's decline), is down close to 2%. Historically, the Transports have been considered a leading indicator of the economy, so the weakness in FDX, and by extension, the Dow Transports, is resulting in heightened concerns over the state of the economy. Looking at the chart below, the picture for the Transports doesn't look pretty. The timing of today's decline couldn't have been worse as it came just as the Transports were attempting to break above the highs from July, but now it just looks like the second lower high this year. Following today's declines, the Dow Transports are up 14.7% YTD which is about five percentage points behind the performance of the S&P 500.
(CLICK HERE FOR THE CHART!)
Given the changes in the US economy over time, we've been skeptical of the continued predictive ability of the Transports, but even putting that aside for a moment, a broader look at Transports shows a less pessimistic picture. The chart below shows the performance of the stocks in the S&P 1500 index on an equal-weighted basis so far in 2019. By this measure, today's decline comes after the index made a higher high, and while it's back below those former highs today, with a gain of 20.5% YTD, this broader look at transports is still outperforming the S&P 500 on a YTD basis. It may not be a great picture for this group of transport stocks, but it doesn't really look bad either.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending September 20th, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 09.22.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $MU
  • $NIO
  • $AZO
  • $KMX
  • $NKE
  • $BB
  • $RAD
  • $CMD
  • $ACN
  • $UXIN
  • $JBL
  • $INFO
  • $CAG
  • $DAVA
  • $MANU
  • $SNX
  • $FDS
  • $KBH
  • $UEPS
  • $ATU
  • $CTAS
  • $MTN
  • $AGTC
  • $WOR
  • $PIR
  • $ISR
  • $DLNG
  • $CAMP
  • $AIR
  • $FUL
  • $PRGS
  • $CMTL
  • $DYNT
  • $RBZ
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 9.23.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 9.23.19 After Market Close:

([CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!]())
NONE.

Tuesday 9.24.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK!)

Tuesday 9.24.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!)

Wednesday 9.25.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK!)

Wednesday 9.25.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!)

Thursday 9.26.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK!)

Thursday 9.26.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!)

Friday 9.27.19 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Friday 9.27.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Micron Technology, Inc. $49.16

Micron Technology, Inc. (MU) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, September 26, 2019. The consensus earnings estimate is $0.43 per share on revenue of $4.51 billion and the Earnings Whisper ® number is $0.49 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat The company's guidance was for earnings of $0.38 to $0.52 per share. Consensus estimates are for earnings to decline year-over-year by 87.92% with revenue decreasing by 46.56%. Short interest has decreased by 21.7% since the company's last earnings release while the stock has drifted higher by 37.1% from its open following the earnings release to be 23.2% above its 200 day moving average of $39.90. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 12,865 contracts of the $50.00 put expiring on Friday, September 27, 2019. Option traders are pricing in a 7.5% move on earnings and the stock has averaged a 7.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

NIO Inc. $3.04

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, September 24, 2019. Investor sentiment going into the company's earnings release has 51% expecting an earnings beat The company's guidance was for revenue of $169.00 million to $193.00 million. Short interest has increased by 25.8% since the company's last earnings release while the stock has drifted lower by 26.2% from its open following the earnings release to be 39.6% below its 200 day moving average of $5.03. On Wednesday, September 4, 2019 there was some notable buying of 40,590 contracts of the $1.50 put expiring on Friday, November 15, 2019. Option traders are pricing in a 17.1% move on earnings and the stock has averaged a 9.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

AutoZone, Inc. -

AutoZone, Inc. (AZO) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $21.64 per share on revenue of $3.94 billion and the Earnings Whisper ® number is $21.98 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.72% with revenue increasing by 10.71%. Short interest has increased by 23.5% since the company's last earnings release while the stock has drifted higher by 15.1% from its open following the earnings release to be 15.6% above its 200 day moving average of $1,003.22. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.8% move on earnings and the stock has averaged a 6.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

CarMax, Inc. $84.63

CarMax, Inc. (KMX) is confirmed to report earnings at approximately 7:35 AM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.03 billion and the Earnings Whisper ® number is $1.38 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 7.26% with revenue increasing by 5.54%. Short interest has increased by 0.7% since the company's last earnings release while the stock has drifted lower by 3.6% from its open following the earnings release to be 14.9% above its 200 day moving average of $73.63. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, September 6, 2019 there was some notable buying of 1,023 contracts of the $92.50 call expiring on Friday, October 18, 2019. Option traders are pricing in a 7.2% move on earnings and the stock has averaged a 6.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Nike Inc $86.68

Nike Inc (NKE) is confirmed to report earnings at approximately 4:15 PM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $0.71 per share on revenue of $10.45 billion and the Earnings Whisper ® number is $0.76 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 5.97% with revenue increasing by 5.05%. Short interest has increased by 0.4% since the company's last earnings release while the stock has drifted higher by 3.2% from its open following the earnings release to be 5.1% above its 200 day moving average of $82.50. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, September 16, 2019 there was some notable buying of 4,646 contracts of the $84.00 call expiring on Friday, September 27, 2019. Option traders are pricing in a 5.2% move on earnings and the stock has averaged a 4.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

BlackBerry Limited $7.54

BlackBerry Limited (BB) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, September 24, 2019. The consensus estimate is for a loss of $0.01 per share and the Earnings Whisper ® number is $0.01 per share. Investor sentiment going into the company's earnings release has 32% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 150.00% with revenue increasing by 375.71%. Short interest has increased by 1.0% since the company's last earnings release while the stock has drifted lower by 9.2% from its open following the earnings release to be 6.9% below its 200 day moving average of $8.10. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, September 17, 2019 there was some notable buying of 2,012 contracts of the $8.00 call expiring on Friday, September 27, 2019. Option traders are pricing in a 9.9% move on earnings and the stock has averaged a 7.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Rite Aid Corp. $7.40

Rite Aid Corp. (RAD) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, September 26, 2019. The consensus earnings estimate is $0.08 per share on revenue of $5.42 billion and the Earnings Whisper ® number is $0.10 per share. Investor sentiment going into the company's earnings release has 50% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 900.00% with revenue decreasing by 0.03%. Short interest has increased by 22.2% since the company's last earnings release while the stock has drifted higher by 5.1% from its open following the earnings release to be 36.4% below its 200 day moving average of $11.64. On Wednesday, September 18, 2019 there was some notable buying of 580 contracts of the $7.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 20.7% move on earnings and the stock has averaged a 20.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cantel Medical Corp. $85.02

Cantel Medical Corp. (CMD) is confirmed to report earnings at approximately 8:00 AM ET on Monday, September 23, 2019. The consensus earnings estimate is $0.61 per share on revenue of $238.60 million and the Earnings Whisper ® number is $0.61 per share. Investor sentiment going into the company's earnings release has 55% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.61% with revenue increasing by 4.26%. Short interest has increased by 47.7% since the company's last earnings release while the stock has drifted higher by 27.5% from its open following the earnings release to be 10.7% above its 200 day moving average of $76.78. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 571 contracts of the $90.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 7.0% move on earnings and the stock has averaged a 6.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Accenture Ltd. $193.09

Accenture Ltd. (ACN) is confirmed to report earnings at approximately 6:50 AM ET on Thursday, September 26, 2019. The consensus earnings estimate is $1.71 per share on revenue of $11.08 billion and the Earnings Whisper ® number is $1.74 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 8.23% with revenue increasing by 4.11%. Short interest has increased by 23.3% since the company's last earnings release while the stock has drifted higher by 8.0% from its open following the earnings release to be 11.3% above its 200 day moving average of $173.47. Overall earnings estimates have been unchanged since the company's last earnings release. On Friday, September 13, 2019 there was some notable buying of 1,279 contracts of the $115.00 put expiring on Friday, November 15, 2019. Option traders are pricing in a 4.5% move on earnings and the stock has averaged a 4.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Uxin Limited $3.26

Uxin Limited (UXIN) is confirmed to report earnings before the market opens on Monday, September 23, 2019. The consensus estimate is for a loss of $0.09 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat The company's guidance was for revenue of $130.00 million to $137.00 million. Consensus estimates are for earnings to decline year-over-year by 200.00% with revenue increasing by 892.95%. The stock has drifted higher by 44.9% from its open following the earnings release to be 4.5% below its 200 day moving average of $3.41. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 509 contracts of the $4.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 24.5% move on earnings and the stock has averaged a 10.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead wallstreetbets.
submitted by bigbear0083 to wallstreetbets [link] [comments]

Midweek Trades

Long GBPUSD
Short AUDCAD AUDJPY AUDUSD NZDCAD NZDJPY NZDUSD
Analysis recent rally in AUD will top out and subside, causing the weaker NZD to fall as well.
My trading does not involve charting at all.
https://www.reddit.com/Forex/comments/fn4uxj/explanation_of_the_charts_i_posted_earlie
Edit: conditions have changed:
Long: AUDCHF GBPUSD Short: NZDUSD NZDJPY EURAUD EURGBP EURJPY
submitted by butstillkeepitreal to Forex [link] [comments]

What Price Does is Real, and Everything Else is Only a Thought.

What Price Does is Real, and Everything Else is Only a Thought.
At the start of the week I made posts saying I thought USDJPY was heading to 110 - 111 this week. I later revised that.
At the start of today I said I thought USDJPY would be up, with a low of 105.40 (it'd been at 105.30 already, actually. I was buying 105.40). This had a 7 pip stop and I'd posted another pending order to buy 105.15. This filled, but later in the day I posted I was exiting all USDJPY. Furthermore, I went short.

I have some questions about this (and some accusations), and I think what it boils down to really is, "What's with the random flip flopping?" I'd be happy to explain.

First we'll chart up the trade themselves. Let's map out clearly the events and outcomes we're talking about here. Here I'll only use the actionable entries and exits. By which I mean, the times I specifically said XXX price enter, XXX price stop. These are the only times I've been engaging the market. The rest has been discussing plans, not executing them.

Signals I gave;

USDJPY buy 104.60. Stop 104.20
USDJPY buy take profit 106.06
USDJPY buy 105.75 stop 104.20
USDJPY buy updates, tight stop entry 105.75 - 105.80. Stop 105.60
USDJPY take profit 106.50
USDJPY sell 106.50. Stop 106.80
USDJPY take profit 105.35
USDJPY buy 105.35. Stop 105.27
USDJPY stop hits. 8 pips loss.
USDJPY sell 105.35. Stop 105.48
USDJPY take profit 105.20

(There was one more trade planned and possibly executed on by some people. I've not included it since there was no exits given. Just a price action condition to enter. I'll touch on that trade too a little)

I can't be bothered getting all the stuff together to show this, but it is in my weeks posting history. Those of you who followed closely what I was posting this week and had these trade plan discussion with me where we defined the actual entry and exits, please confirm in the comments this is at least reasonable accurate.


https://preview.redd.it/110x6tohnnj31.png?width=814&format=png&auto=webp&s=4a346672f67dadb585f7b1738f8d8802a996b987
White, green winning buys.
Yellow winning sell.
Red Losing buy.
(The final scalp I've not added because it's too small. It was from about the last high to last low, though. You can check)

I think these are good trades. Throughout my posts talking about these trade setups I think I've presented solid reasoning, and good information on risk awareness and control. I think that, but we all have perspectives. Here's an exchange with someone with another perspective thinking my way of trading (I don't think they read 1/4 of my posts to know what I am doing) is harmful to explain. Only to those who do not consume the full explanation., would be my thought.

https://preview.redd.it/6r6h9wwhonj31.png?width=813&format=png&auto=webp&s=48465a16cc34a2a4b426b727c00d9641da73ac9c
https://preview.redd.it/niv3ce6lonj31.png?width=803&format=png&auto=webp&s=c6ecc2acfef538da3fa8406a7620e39efd15469e

The entries that are being criticised here are the white buy, the green buy and the yellow sell. When we look at these on a chart, it is clear this was not teaching people to reverse because price was not going there way. It was teaching them to take profits at good places, and enter into new trades with good probabilities. There was only one time the market moved against the direction I'd given in trading signals, it was the buy today. It was from 135.27, and it hit a 8 pip stop.

After the stop hit, price retested the entry level and then continued to head lower into the close of the week (we sold, profiting from this and covering the loss on the buy). Everyone has their own ideas about how things can and can not be done, but the raw facts here are none of my signals exposed to large risks, and the trades entered and exited at excellent prices. Whether or not this is gambling depends on how often I can do it. I done exactly the same trade pattern last week.

Before I executed the trade plan last week, I explained every aspect of it. I even drew the chart. Literally. I covered all my forecasts in the close of this post.. Through this week, I've explained the exact same thing step by step, and again entered precisely at the start and end of swings. If you think this is gamblers luck, I don't fancy your odds. They odds will get longer. I'll keep posting forecasts, execution and reports. I may win or lose, can never know ... but I know the long term trend.

After getting stopped out, I reversed. This was not a great trade because it was late in the week, but is part of an established trading pattern I use. I don't know why you guys stop loss, but I do it because the market has proved me wrong. Usually I have reasons I'd be wrong and why they'd change my view on the market. Here was the specs I wanted to see to keep this trade active.

https://preview.redd.it/lqywirooqnj31.png?width=709&format=png&auto=webp&s=224038831b6421d71e757b8a0b655fe760868f3b
Source: https://www.reddit.com/usewhatthefx/comments/cx7gun/usdjy_now_we_sell/

When the London low broke, the entire strategy this trade was based upon failed. Signals from it became invalid. The stop loss this strategy used is placed purposefully. When it hits, price very often will retest the entry but never go back into profit before gathering a far larger loss than the 8 pips would be. So this is the kill point, and also the point at which the market shows counter momentum.

When it does this, I then deploy a contingency strategy where I look for small chart trend and corrective patterns to reverse on the position. I've practised this a lot, and tested many variant of stops, re-entries and reversal. What I do is highly efficient at getting out of the market and covering the loss in the following trading pattern.

All of the trades I posted this week won (even the losing one was dealt with in a winning way). Even though my overall forecast was incorrect, I used strategies and designed trading patterns to adapt my thoughts to profit from what the market was actually doing. Where price really goes is where we really make money. Not in all the reasons we think things about what price can do. I spend a lot of time on what I do. I've been posting here for a month now, and objective review of my entries and exits shows they have done well.

Please .... please, can people stop telling me in absolute terms what "can't be done". You have to start to do one of two things;

1 - Relate the real analysis and entries and exits of what I do to your opinion of what I do.
2 - Start to use the words, "I think ..." if you're making speculations that do not relate to current facts.
submitted by whatthefx to Forex [link] [comments]

Wall Street Week Ahead for the trading week beginning September 23rd, 2019

Good Saturday morning to all of you here on stocks. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning September 23rd, 2019.

Week ahead: As stocks struggle to break to new highs, markets could be swayed by Fed speakers, trade - (Source)

Developments in U.S.-Chinese trade talks and the comments from a host of Fed speakers could be important for markets in the week ahead, as stocks struggle to regain highs.
The Fed in the past week cut interest rates for the second time in two months, but the latest forecasts of Fed officials showed just how divided they are on the need for future rate cuts. Five wanted deeper cuts, five didn’t want any cuts and another seven were happy with the Fed’s action.
“The market seems like it’s pretty jumpy based on what the say. i think it would flip back and forth depending on how the headlines come out,” said Tom Simons, money market economist at Jefferies. Simons said the focus will also be on the Fed’s operations in the short-term funding market, after turbulence in the overnight market in the past week temporarily sent some overnight rates sharply higher.
There are nearly a dozen Fed speakers on the calendar in the coming week, but Fed Chairman Jerome Powell is not scheduled to speak.
Trade developments could continue to cause volatility in markets. Reports Friday that Chinese agriculture officials canceled visits to farms in Montana and Nebraska sent stocks lower, for fear it signaled that talks were not making progress.
Stocks in the past week were lower, with the S&P off about 0.5% to 2,992. The index had been around 1% away from its all-time high for a few weeks.
“Tech that has been out of play and is acting faulty. it’s now turning into a headwind, and that could cause a problem for the bulls,” said Scott Redler, partner with T3Live.com. “I haven’t seen so many mixed signals in the market in quite some time.”
“It’s hard for the market to make new highs without tech. At best, it’s concerning when you see key names, like Amazon and Netflix, not just failing to lead but faltering,” he said. Netflix was down more than 8% for the week, and Amazon was off 2.6%.
Redler said it was a concern that shares of market leader Microsoft gave up its initial gains and turned negative, soon after it announced a buyback and raised its dividend. “Strength was sold instead of embraced,” he said. “That was good news. What are they going to do when bad news happens?”
Following the attacks on Saudi Aramco last week, the United Nations General Assembly in New York and meetings around it take on more importance for markets. U.S. and Saudi Arabian officials have said Iran was behind the attack, which knocked a significant amount of Saudi oil production off line. Iran has denied involvement, and Houthi rebels in Yemen have claimed responsibility.
Iran’ President Hassan Rouhani has been given a visa to travel to New York for the UN. Before the attack on Saudi Arabia last week, President Donald Trump had suggested he would speak to Rouhani but there seems little chance of that now. Oil have been highly volatile, with Brent crude futures up 7% since the attack as Saudi Arabia sought to assure markets that it would be able to bring its operations back on line.
There is some economic data that will also be important to markets. There is manufacturing PMI Monday, important after ISM manufacturing data showed a contraction in August. Durable goods will also be important on Friday, as will personal consumption data, which includes the Fed’s preferred inflation indicator, the core PCE deflator.
“What Powell said in his remarks was inflation was below his target,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “But even the core PCE deflator is expected to be 1.8, a new high for the year.” The Fed’s target inflation rate is 2%, and other inflation measures have been above that, including core CPI.
The Fed will also be in focus after problems in the overnight funding market, used by banks in need of short term cash. Rates spiked for repo, or repurchase agreements, in a chaotic two-day period Monday and Tuesday. The Fed’s target fed funds rate also moved above its target range, in an unusual move.
The market has since calmed after the Fed carried out open market operations to add liquidity to the market. On Friday, it announced three 14-day operations involving $30 billion as well as continued overnight operations of at least $75 billion each.
“I think the Fed has absolute control over short term rates. It was caught sleeping at the wheel,” said Chandler.
Powell said the Fed would monitor the market and take whatever action is needed. The market is considered the basic plumbing for financial markets, where banks who have a short-term need for cash come to fund themselves. The odd spike in rates was viewed as the result of a cash crunch, not a credit crisis.
Bond market pros have been concerned that the Fed would again see strains in the market at month end, when there’s more activity in the overnight funding market.
“It gets you further past quarter end,” said Jon Hill, rate strategist at BMO. “A 14-day pushes them further into October. I think nerves will have calmed. The fact you’ll see fed funds print clearly in the range will reassert confidence. These operations will serve as a reminder that the Fed can have absolute control the front end if and when it wants to. This is a good thing.”
The funds rate was at 1.90% Thursday, within the target rate range of 1.75% to 2%.
“They’re removing any doubt of their ability to take control of fed funds in the modern framework. They just announced $165 billion over quarter-end , and we may go bigger. They haven’t done a repo injection in 10 years,” said Hill.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

S&P 500 down 23 of 29 during week after September options expiration, average loss 0.95%

The week after September options expiration week, next week, has a dreadful history of declines especially since 1990. The week after September options expiration week has been a nearly constant source of pain with only a few meaningful exceptions over the past 29 years. Substantial and across the board gains have occurred just three times: 1998, 2001, 2010 and 2016 while many more weeks were hit with sizable losses.
Full stats are in the following sea-of-red table. Average losses since 1990 are even worse; DJIA –1.02%, S&P 500 –0.95%, NASDAQ –0.90% and a sizable –1.38% for Russell 2000. End-of-Q3 portfolio restructuring is the most likely explanation for this trend as managers trim summer losers and position for the fourth quarter.
(CLICK HERE FOR THE CHART!)

October Challenging in Pre-Election Years

October often evokes fear on Wall Street as memories are stirred of crashes in 1929, 1987, the 554-point drop on October 27, 1997, back-to-back massacres in 1978 and 1979, Friday the 13th in 1989 and the 733-point drop on October 15, 2008. During the week ending October 10, 2008, Dow lost 1,874.19 points (18.2%), the worst weekly decline in our database going back to 1901, in point and percentage terms. The term “Octoberphobia” has been used to describe the phenomenon of major market drops occurring during the month. Market calamities can become a self-fulfilling prophecy, so stay on the lookout and don’t get whipsawed if it happens.
(CLICK HERE FOR THE CHART!)
Pre-election year Octobers are ranked second from last for DJIA, S&P 500 and NASDAQ while Russell 2000 is dead last with an average loss of 1.9%. Eliminating gruesome 1987 from the calculation provides only a moderate amount of relief. Should a meaningful decline materialize in October it is likely to be an excellent buying opportunity, especially for depressed technology and small-cap shares.

Where’s That September Volatility?

September is historically known as one of the worst for stocks, yet in 2019 the S&P 500 Index is up 2.7% so far amid a sea of scary headlines. Incredibly, the S&P 500 has wavered less than 0.1% from its previous close 6 of the past 10 trading sessions, as it consolidates just beneath all-time highs.
“Over the past two weeks we’ve had the European Central Bank meeting, the Federal Reserve meeting, higher inflation, a historic jump in crude oil, Middle East turmoil, trouble in the repo market, and even multiple NFL quarterbacks sustaining major injuries,” said LPL Financial Senior Market Strategist Ryan Detrick. “Yet, with all of those scary headlines, stocks are actually in the midst of one of the least volatile two-week stretches we’ve seen in years.”
We are quite encouraged by the overall change in market tone we’ve heard recently, with more cyclical names taking the baton and leading, but with the S&P 500 up near our fair value target of 3,000, we would be on the lookout for this sea of tranquility to get rougher at any time. In fact, according to historical calendars, we may need to be on high guard for the second half of September.
As shown in the LPL Chart of the Day, The Second Half of September Can Be Tricky For Stocks, later in the month of September is when we’ve seen seasonal weakness. Things have been going well for equities in the face of some worrisome headlines, but don’t get complacent, as the calendar could be one of the biggest near-term risks.
(CLICK HERE FOR THE CHART!)

The Fed Hits It Down The Middle

“History does not repeat itself, but it rhymes.” Mark Twain
As expected, the Federal Reserve’s (Fed) policy committee cut its policy rate by 25 basis points (.25%) to a target range of 1.75%–2%. This comes on the heels of the first rate cut in more than 10 years at the end of July. This cut is somewhat more controversial, however, because the overall U.S. economic data has been improving, and there’s been a tick higher in inflation.
One of the most important questions heading into this meeting was how many voting Fed members would support additional rate cuts. There were two dissenting voting members at the July rate cut, and once again there were two votes opposed to today’s cut—but unlike last time, there was also one dissenter who favored a larger 50 basis point (.50%) cut. Materials in the economic projections indicated 10 of 17 participants (which includes non-voting members) did not believe additional cuts would be needed over the remainder of the year, although evolving economic conditions could certainly lead to a shift.
As the quote from Mark Twain suggests, by looking back at history we can potentially find clues as to what might happen in the future.
Looking back at the previous two recessions (2001 and 2008), the Fed cut rates 50 basis points (.50%) to kick off the new cycle of rate cuts. We looked back at what the Fed said at the time, and policymakers didn’t foresee a recession; the larger .50% cut might have been their way of showing how worried they really were at the time. In other words, maybe the Fed knew there potentially was trouble under the surface.
Compare this with three consecutive 25 basis point (.25%) cuts in the 1995/1996 and 1998 rate cut cycles, which led to continued equity gains and avoided recessions. Given we foresee one more cut this year, could it be another three cuts of 25 basis points (.25%) and then an economic acceleration?
“Here’s the catch. When the first two cuts in a new cycle of rate cuts are only 25 basis points, this could be the Fed’s way of truly viewing the cuts as insurance,” explained LPL Financial Senior Market Strategist Ryan Detrick. “In fact, the past five cycles of cuts that started with two 25 basis point cuts saw the S&P 500 Index move higher 6 and 12 months later every single time.”
As shown in the LPL Chart of the Day, Stocks Have Historically Done Well If The First Two Fed Rate Cuts Are 25 Basis Points, the S&P 500 was up an average of 9.7% six months after the second of two 25 basis point cuts to kick off a new cycle of rate cuts. Going out a year, the S&P 500 had gained a very impressive average of 16.7%.
(CLICK HERE FOR THE CHART!)

Strong Start for September, but Second Half Could Bring Trouble

As of Friday’s close the market is well above historical average performance in September. DJIA was up nearly 3.1%, S&P 500 was up 2.8%, NASDAQ and Russell 1000 were up 2.7% while Russell 2000 was up 5.6%. Small-caps outperforming large-caps recently is not unusual and they did so again today. However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 29 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
(CLICK HERE FOR THE CHART!)

Broader Transports Still Outperforming YTD

With shares of FedEx (FDX) on pace for their second worst earnings reaction day since at least 2001, the Dow Transports, an index in which FDX has a weighting of over 8% (after today's decline), is down close to 2%. Historically, the Transports have been considered a leading indicator of the economy, so the weakness in FDX, and by extension, the Dow Transports, is resulting in heightened concerns over the state of the economy. Looking at the chart below, the picture for the Transports doesn't look pretty. The timing of today's decline couldn't have been worse as it came just as the Transports were attempting to break above the highs from July, but now it just looks like the second lower high this year. Following today's declines, the Dow Transports are up 14.7% YTD which is about five percentage points behind the performance of the S&P 500.
(CLICK HERE FOR THE CHART!)
Given the changes in the US economy over time, we've been skeptical of the continued predictive ability of the Transports, but even putting that aside for a moment, a broader look at Transports shows a less pessimistic picture. The chart below shows the performance of the stocks in the S&P 1500 index on an equal-weighted basis so far in 2019. By this measure, today's decline comes after the index made a higher high, and while it's back below those former highs today, with a gain of 20.5% YTD, this broader look at transports is still outperforming the S&P 500 on a YTD basis. It may not be a great picture for this group of transport stocks, but it doesn't really look bad either.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending September 20th, 2019

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 09.22.19

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $MU
  • $NIO
  • $AZO
  • $KMX
  • $NKE
  • $BB
  • $RAD
  • $CMD
  • $ACN
  • $UXIN
  • $JBL
  • $INFO
  • $CAG
  • $DAVA
  • $MANU
  • $SNX
  • $FDS
  • $KBH
  • $UEPS
  • $ATU
  • $CTAS
  • $MTN
  • $AGTC
  • $WOR
  • $PIR
  • $ISR
  • $DLNG
  • $CAMP
  • $AIR
  • $FUL
  • $PRGS
  • $CMTL
  • $DYNT
  • $RBZ
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 9.23.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 9.23.19 After Market Close:

([CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!]())
NONE.

Tuesday 9.24.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK!)

Tuesday 9.24.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!)

Wednesday 9.25.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK!)

Wednesday 9.25.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!)

Thursday 9.26.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK!)

Thursday 9.26.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!)

Friday 9.27.19 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Friday 9.27.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Micron Technology, Inc. $49.16

Micron Technology, Inc. (MU) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, September 26, 2019. The consensus earnings estimate is $0.43 per share on revenue of $4.51 billion and the Earnings Whisper ® number is $0.49 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat The company's guidance was for earnings of $0.38 to $0.52 per share. Consensus estimates are for earnings to decline year-over-year by 87.92% with revenue decreasing by 46.56%. Short interest has decreased by 21.7% since the company's last earnings release while the stock has drifted higher by 37.1% from its open following the earnings release to be 23.2% above its 200 day moving average of $39.90. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 12,865 contracts of the $50.00 put expiring on Friday, September 27, 2019. Option traders are pricing in a 7.5% move on earnings and the stock has averaged a 7.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

NIO Inc. $3.04

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, September 24, 2019. Investor sentiment going into the company's earnings release has 51% expecting an earnings beat The company's guidance was for revenue of $169.00 million to $193.00 million. Short interest has increased by 25.8% since the company's last earnings release while the stock has drifted lower by 26.2% from its open following the earnings release to be 39.6% below its 200 day moving average of $5.03. On Wednesday, September 4, 2019 there was some notable buying of 40,590 contracts of the $1.50 put expiring on Friday, November 15, 2019. Option traders are pricing in a 17.1% move on earnings and the stock has averaged a 9.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

AutoZone, Inc. -

AutoZone, Inc. (AZO) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $21.64 per share on revenue of $3.94 billion and the Earnings Whisper ® number is $21.98 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.72% with revenue increasing by 10.71%. Short interest has increased by 23.5% since the company's last earnings release while the stock has drifted higher by 15.1% from its open following the earnings release to be 15.6% above its 200 day moving average of $1,003.22. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.8% move on earnings and the stock has averaged a 6.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

CarMax, Inc. $84.63

CarMax, Inc. (KMX) is confirmed to report earnings at approximately 7:35 AM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.03 billion and the Earnings Whisper ® number is $1.38 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 7.26% with revenue increasing by 5.54%. Short interest has increased by 0.7% since the company's last earnings release while the stock has drifted lower by 3.6% from its open following the earnings release to be 14.9% above its 200 day moving average of $73.63. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, September 6, 2019 there was some notable buying of 1,023 contracts of the $92.50 call expiring on Friday, October 18, 2019. Option traders are pricing in a 7.2% move on earnings and the stock has averaged a 6.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Nike Inc $86.68

Nike Inc (NKE) is confirmed to report earnings at approximately 4:15 PM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $0.71 per share on revenue of $10.45 billion and the Earnings Whisper ® number is $0.76 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 5.97% with revenue increasing by 5.05%. Short interest has increased by 0.4% since the company's last earnings release while the stock has drifted higher by 3.2% from its open following the earnings release to be 5.1% above its 200 day moving average of $82.50. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, September 16, 2019 there was some notable buying of 4,646 contracts of the $84.00 call expiring on Friday, September 27, 2019. Option traders are pricing in a 5.2% move on earnings and the stock has averaged a 4.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

BlackBerry Limited $7.54

BlackBerry Limited (BB) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, September 24, 2019. The consensus estimate is for a loss of $0.01 per share and the Earnings Whisper ® number is $0.01 per share. Investor sentiment going into the company's earnings release has 32% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 150.00% with revenue increasing by 375.71%. Short interest has increased by 1.0% since the company's last earnings release while the stock has drifted lower by 9.2% from its open following the earnings release to be 6.9% below its 200 day moving average of $8.10. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, September 17, 2019 there was some notable buying of 2,012 contracts of the $8.00 call expiring on Friday, September 27, 2019. Option traders are pricing in a 9.9% move on earnings and the stock has averaged a 7.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Rite Aid Corp. $7.40

Rite Aid Corp. (RAD) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, September 26, 2019. The consensus earnings estimate is $0.08 per share on revenue of $5.42 billion and the Earnings Whisper ® number is $0.10 per share. Investor sentiment going into the company's earnings release has 50% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 900.00% with revenue decreasing by 0.03%. Short interest has increased by 22.2% since the company's last earnings release while the stock has drifted higher by 5.1% from its open following the earnings release to be 36.4% below its 200 day moving average of $11.64. On Wednesday, September 18, 2019 there was some notable buying of 580 contracts of the $7.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 20.7% move on earnings and the stock has averaged a 20.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cantel Medical Corp. $85.02

Cantel Medical Corp. (CMD) is confirmed to report earnings at approximately 8:00 AM ET on Monday, September 23, 2019. The consensus earnings estimate is $0.61 per share on revenue of $238.60 million and the Earnings Whisper ® number is $0.61 per share. Investor sentiment going into the company's earnings release has 55% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.61% with revenue increasing by 4.26%. Short interest has increased by 47.7% since the company's last earnings release while the stock has drifted higher by 27.5% from its open following the earnings release to be 10.7% above its 200 day moving average of $76.78. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 571 contracts of the $90.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 7.0% move on earnings and the stock has averaged a 6.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Accenture Ltd. $193.09

Accenture Ltd. (ACN) is confirmed to report earnings at approximately 6:50 AM ET on Thursday, September 26, 2019. The consensus earnings estimate is $1.71 per share on revenue of $11.08 billion and the Earnings Whisper ® number is $1.74 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 8.23% with revenue increasing by 4.11%. Short interest has increased by 23.3% since the company's last earnings release while the stock has drifted higher by 8.0% from its open following the earnings release to be 11.3% above its 200 day moving average of $173.47. Overall earnings estimates have been unchanged since the company's last earnings release. On Friday, September 13, 2019 there was some notable buying of 1,279 contracts of the $115.00 put expiring on Friday, November 15, 2019. Option traders are pricing in a 4.5% move on earnings and the stock has averaged a 4.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Uxin Limited $3.26

Uxin Limited (UXIN) is confirmed to report earnings before the market opens on Monday, September 23, 2019. The consensus estimate is for a loss of $0.09 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat The company's guidance was for revenue of $130.00 million to $137.00 million. Consensus estimates are for earnings to decline year-over-year by 200.00% with revenue increasing by 892.95%. The stock has drifted higher by 44.9% from its open following the earnings release to be 4.5% below its 200 day moving average of $3.41. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 509 contracts of the $4.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 24.5% move on earnings and the stock has averaged a 10.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead stocks.
submitted by bigbear0083 to stocks [link] [comments]

What is Forex ?  Forex Trading for Beginners Forex Trading for Beginners #7: How to Read a Forex Chart ... Chart Trading Pros presents: A Live Forex Trade. 127 pips in 40 min What Is Forex Trading? SIMPLIFIED Explanation Easy To ... Paano Mag Setup and Magbasa ng Chart sa Forex Trading ... The ONLY Forex Trading Video You Will EVER Need - YouTube Naked Forex for 1hr Charts

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What is Forex ? Forex Trading for Beginners

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