Hi to start off I’m pretty young I’m only 14. Due to COVID there was nothing to do at home so I decided to try and learn something new. I picked up on forex around a month or two ago and it’s been really fun. There were weeks where I spent 4-6 hours a day learning and trading through demo accounts to the point where it’s basically all I do now. I have my own strategy, have been practicing proper risk management, know not to over leverage etc.. last week my parents gifted me a $330 live account under their name. I felt that a live account right now would be too early but my parents insisted I give it a go and make a few trades just to test the waters. Since they gave me the go ahead I made a spreadsheet in excel to keep track of my trades and it went fairly well. I lost 3% of my account on the first two trades so I stopped for the day and evaluated the those two trades. At first I felt really bad and I had the urge to win that money back. I guess this is what people meant when they talked about physcology being a really big factor when trading. After I lost those two trades I tweaked my trading plan and told myself don’t be a bitch and stop crying. The next 8 trades over the course of 4 days I won and I’m currently up 22% which is pretty good I think. I’m wondering what the best mindset should be while trading. Any other tips would be helpful as well!
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.
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.
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:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
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):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
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.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
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:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
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.
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.
Total Trades: 75
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
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):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
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.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Adjusted Proft % (takes spread into account): 47.43%
Thoughts On The Market Series #1 - The New Normal?
Market Outlook: What to Make of This “New Normal”
By ****\* March 16, 2020 After an incredibly volatile week – which finished with the Dow Jones Industrial Average rallying over 9% on Friday – I suppose my readers might expect me to be quite upbeat about the markets. Unfortunately, I persist in my overall pessimistic outlook for stocks, and for the economy in general. Friday’s rally essentially negated Thursday’s sell-off, but I don’t expect it to be the start of a sustained turnaround. We’re getting a taste of that this morning, with the Dow opening down around 7%. This selloff is coming on the back of an emergency interest rate cut by the Federal Reserve of 100 basis points (to 0%-0.25%) on Sunday… along with the announcement of a new quantitative easing program of $700 billion. (I will write about this further over the next several days.) As I have been writing for many weeks, the financial bubble – which the Fed created by pumping trillions of dollars into the financial system – has popped. It will take some time for the bubble to deflate to sustainable levels. Today I’ll walk you through what’s going on in the markets and the economy… what I expect going forward and why… and what it means for us as traders. (You’ll see it’s not all bad news.)
Coronavirus’ Strain on the Global Economy
To start, let’s put things in perspective: This asset deflation was coming one way or another. Covid19 (or coronavirus) has simply accelerated the process. Major retailers are closing, tourism is getting crushed, universities and schools are sending students home, conventions, sporting events, concerts, and other public gatherings have been cancelled, banks and other financial service firms are going largely virtual, and there has been a massive loss of wealth. Restaurant data suggests that consumer demand is dropping sharply, and the global travel bans will only worsen the situation. Commercial real estate is another sector that looks particularly vulnerable. We are almost certain to see a very sharp and pronounced economic slowdown here in the United States, and elsewhere. In fact, I expect a drop of at least 5% of GDP over the next two quarters, which is quite severe by any standard. Sure, when this cycle is complete, there will be tremendous amounts of pent-up demand by consumers, but for the time being, the consumer is largely on the sidelines. Of course, the problems aren’t just in the U.S. China’s numbers look awful. In fact, the government there may have to “massage” their numbers a bit to show a positive GDP in the first quarter. Europe’s numbers will also look dreadful, and South Korea’s economy has been hit badly. All around the world, borders are being shut, all non-essential businesses are being closed, and people in multiple countries are facing a lockdown of historic proportions. The coronavirus is certainly having a powerful impact, and it looks certain that its impact will persist for a while. Consider global tourism. It added almost $9 trillion to the global economy in 2018, and roughly 320 million jobs. This market is in serious trouble. Fracking in the U.S. is another business sector that is in a desperate situation. Millions of jobs and tens of billions of loans are now in jeopardy. The derivative businesses that this sector supports will be likewise devastated as companies are forced to reduce their workforces or shut down due to the collapse in oil prices. This sector’s suffering will probably force banks to book some big losses despite attempts by the government to support this industry. In a similar way, the derivative businesses that are supported by the universities and colleges across America are going to really suffer. There are nearly 20 million students in colleges across the U.S. When they go home for spring vacation and do not return, the effect on the local businesses that colleges and university populations support will be devastating. What does this “new normal” mean going forward? Let’s take a look…
The new normal may become increasingly unpleasant for us. We need to be ready to hunker down for quite some time. Beyond that, the government needs to handle this crisis far better in the future. The level of stupidity associated with the massive throngs of people trapped in major airports yesterday, for example, was almost unimaginable. Instead of facilitating the reduction of social contact and halting the further spread of the coronavirus, the management of the crowds at the airports produced a perfect breeding ground for the spread of the virus. My guess is that more draconian travel restrictions will be implemented soon, matching to some extent the measures taken across Europe. This will in turn have a further dampening effect on economic activity in the U.S., putting more and more pressure on the Fed and the government to artificially support a rapidly weakening economy. Where does this end up? It is too early to say, but a very safe bet is that we will have some months of sharply negative growth. Too many sectors of the economy are going to take a hit to expect anything else. The Fed has already driven interest rates to zero. Will that help? Unlikely. In fact, as I mentioned at the beginning of this update, the markets are voting with a resounding NO. The businesses that are most affected by the current economic situation will still suffer. Quantitative easing is hardly a cure-all. In fact, it has been one of the reasons that we have such a mess in our markets today. The markets have become addicted to the easy money, so more of the same will have little or no impact. We will need real economic demand, not an easier monetary policy. It won’t help support tourism, for example, or the other sectors getting smashed right now. The government will need to spend at least 5% of GDP, or roughly $1 trillion, to offset the weakness I see coming. Is it surprising that the Fed and the government take emergency steps to try to stabilize economic growth? Not at all. This is essentially what they have been doing for a long time, so it is completely consistent with their playbook. Next, I would anticipate the government implementing some massive public-works and infrastructure programs over the coming months. That would be very helpful, and almost certainly quite necessary. But there’s a problem with this kind of intervention from the government…
What Happens When You Eliminate the Business Cycle
The Fed’s foolish attempt to eliminate business cycles is a significant contributing factor to the volatility we are currently experiencing. Quantitative easing is nothing more than printing lots and lots of money to support a weak economy and give the appearance of growth and prosperity. In fact, it is a devaluation of the currency’s true buying power. That in turn artificially drives up the prices of other assets, such as stocks, real estate and gold – but it does not create true wealth. That only comes with non-inflationary growth of goods and services and associated increases in economic output. Inflation is the government’s way to keep people thinking they are doing better. To that point: We have seen some traditional safe-haven assets getting destroyed during this time of risk aversion. That has certainly compounded the problems of many investors. Gold is a great example. As the stock market got violently slammed, people were forced to come up with cash to support their losing positions. Gold became a short-term source of liquidity as people sold their gold holdings in somewhat dramatic fashion. It was one of the few holdings of many people that was not dramatically under water, so people sold it. The move may have seemed perverse, particularly to people who bought gold as a safe-haven asset, but in times of crisis, all assets tend to become highly correlated, at least short term. We saw a similar thing happen with long yen exposures and long Bitcoin exposures recently. The dollar had its strongest one-day rally against the yen since November 2016 as people were forced to sell huge amounts of yen to generate liquidity. Many speculators had made some nice profits recently as the dollar dropped sharply from 112 to 101.30, but they have been forced to book whatever profits they had in this position. Again, this was due to massive losses elsewhere in their portfolios. Is the yen’s sell-off complete? If it is not complete, it is probably at least close to an attractive level for Japanese investors to start buying yen against a basket of currencies. The major supplies of yen have largely been taken off the table for now. For example, the yen had been a popular funding currency for “carry” plays. People were selling yen and buying higher-yielding currencies to earn the interest rate difference between the liability currency (yen) and the funding currency (for example, the U.S. dollar). Carry plays are very unpopular in times of great uncertainty and volatility, however, so that supply of yen will be largely gone for quite some time. Plus, the yield advantage of currencies such as the U.S. dollar, Canadian dollar, and Australian dollar versus the yen is nearly gone. In addition, at the end of the Japanese fiscal year , there is usually heavy demand for yen as Japanese corporations need to bring home a portion of their overseas holdings for balance sheet window dressing. I don’t expect that pressure to be different this year. Just as the safe-haven assets of yen and gold got aggressively sold, Bitcoin also got hammered. It was driven by a similar theme – people had big losses and they needed to produce liquidity quickly. Selling Bitcoin became one of the sources of that liquidity.
Heavy Price Deflation Ahead
Overall, there is a chance that this scenario turns into something truly ugly, with sustained price deflation across many parts of the economy. We will certainly have price deflation in many sectors, at least on a temporary basis. Why does that matter over the long term? Price deflation is the most debilitating economic development in a society that is debt-laden – like the U.S. today. Prices of assets come down… and the debt becomes progressively bigger and bigger. The balance sheet of oil company Chesapeake Energy is a classic example. It’s carrying almost $10 billion worth of debt… versus a market cap of only about $600 million. Talk about leverage! When the company had a market cap of $10 billion, that debt level didn’t appear so terrifying. Although this is an extreme example for illustrative purposes, the massive debt loads of China would seem more and more frightening if we were to sink into flat or negative growth cycles for a while. The government’s resources are already being strained, and it can artificially support only so many failing companies. The U.S. has gigantic levels of debt as well, but it has the advantage of being the world’s true hegemon, and the U.S. dollar is the world’s reserve currency. This creates a tremendous amount of leverage and power in financing its debt. The U.S. has been able to impose its will on its trading partners to trade major commodities in dollars. This has created a constant demand for the dollar that offsets, to a large extent, the massive trade deficit that the U.S. runs. For example, if a German company wants to buy oil, then it needs to hold dollars. This creates a constant demand for dollar assets. In short, the dollar’s status as the true global reserve currency is far more important than most people realize. China does not hold this advantage.
What to Do Now
In terms of how to position ourselves going forward, I strongly recommend that people continue with a defensive attitude regarding stocks. There could be a lot more downside to come. Likewise, we could see some panic selling in other asset classes. The best thing right now is to be liquid and patient, ready to pounce on special opportunities when they present themselves. For sure, there will be some exceptional opportunities, but it is too early to commit ourselves to just one industry. These opportunities could come in diverse sectors such as commercial real estate, hospitality, travel and leisure, and others. As for the forex markets, the volatility in the currencies is extreme, so we are a bit cautious. I still like the yen as a safe-haven asset. I likewise still want to sell the Australian dollar, the New Zealand dollar, and the Canadian dollar as liability currencies. Why? The Bank of Canada, the Reserve Bank of Australia, and the Reserve Bank of New Zealand have all taken aggressive steps recently, slashing interest rates. These currencies are all weak, and they will get weaker. Finding an ideal entry for a trade, however, is tricky. Therefore, we are being extra careful with our trading. We always prioritize the preservation of capital over generating profits, and we will continue with this premise. At the same time, volatility in the markets is fantastic for traders. We expect many excellent opportunities to present themselves over the coming days and weeks as prices get driven to extreme levels and mispricings appear. So stay tuned.
So here it is, three more days and October begins, which marks one year of trading for me. I figured I would contribute to the forum and share some of my experience, a little about me, and what I've learned so far. Whoever wants to listen, that's great. This might get long so buckle up.. Three years ago, I was visiting Toronto. I don't get out much, but my roommate at the time travels there occasionally. He asked everyone at our place if we wanted to come along for a weekend. My roommate has an uncle that lives there and we didn't have to worry about a hotel because his uncle owns a small house that's unlived in which we could stay at. I was the only one to go with. Anyways, we walk around the city, seeing the sights and whatnot. My friend says to me "where next?" "I don't know, you're the tour guide" "We can go check out Bay Street" "what's 'Bay Street?'" "It's like the Canadian Wall street! If you haven't seen it you gotta see it!" Walking along Bay, I admire all the nice buildings and architecture, everything seems larger than life to me. I love things like that. The huge granite facades with intricate designs and towering pillars to make you think, How the fuck did they make that? My attention pivots to a man walking on the sidewalk opposite us. His gait stood out among everyone, he walked with such a purpose.. He laughed into the cell phone to his ear. In the elbow-shoving city environment, he moved with a stride that exuded a power which not only commanded respect, but assumed it. I bet HE can get a text back, hell he's probably got girls waiting on him. This dude was dressed to kill, a navy suit that you could just tell from across the street was way out of my budget, it was a nice fucking suit. I want that. His life, across the street, seemed a world a way from my own. I've worn a suit maybe twice in my life. For my first communion, it was too big for me, I was eleven or whatever so who gives a shit, right? I'm positive I looked ridiculous. The other time? I can't remember. I want that. I want the suit. I want the wealth, the independence.I want the respect and power, and I don't give a shit what anyone thinks about it. Cue self doubt. Well, He's probably some rich banker's son. That's a world you're born into. I don't know shit about it. \sigh* keep walking..* A year later, I'm visiting my parents at their house, they live an hour away from my place. My dad is back from Tennessee, his engineering job was laying people off and he got canned... Or he saw the end was near and just left... I don't know, hard to pay attention to the guy honestly because he kind of just drones on and on. ("Wait, so your mom lives in Michigan, but your dad moved to Tennessee... for a job?" Yea man, I don't fucking know, not going to touch on that one.) The whole project was a shit show that was doomed to never get done, the way he tells it. And he's obviously jaded from multiple similar experiences at other life-sucking engineer jobs. My mom is a retired nurse practitioner who no longer works because of her illness. I ask him what he's doing for work now and he tells me he trades stocks from home. I didn't even know you could do that. I didn't know "trading" was a thing. I thought you just invest and hope for the best. "Oh that's cool, how much money do you need to do that?" "Ehh, most say you need at least $25,000 as a minimum" "Oh... guess I can't do that..." Six months later, I get a call and it's my dad. We talk a little about whatever. Off topic, he starts asking if I'm happy doing what I'm doing (I was a painter, commercial and residential) I tell him yes but it's kind of a pain in the ass and I don't see it as a long term thing. Then he gets around to asking if I'd like to come work with him. He basically pitches it to me. I'm not one to be sold on something, I'm always skeptical. So I ask all the questions that any rational person would ask and he just swats them away with reassuring phrases. He was real confident about it. But basically he says for this to work, I have to quit my job and move back home so he can teach me how to trade and be by my side so I don't do anything stupid. "My Name, you can make so much money." I say that I can't raise the $25,000 because I'm not far above just living paycheck to paycheck. "I can help you out with that." Wow, okay, well... let me think about it. My "maybe" very soon turned into a "definitely." So over the next six months, I continue to work my day job painting, and I try to save up what I could for the transition (it wasn't a whole lot, I sucked at saving. I was great at spending though!). My dad gives me a book on day trading (which I will mention later) and I teach myself what I can about the stock market using Investopedia. Also in the meantime, my dad sends me encouraging emails. He tells me to think of an annual income I would like to make as a trader, and used "more than $100,000 but less than a million" as a guideline. He tells me about stocks that he traded that day or just ones that moved and describes the basic price action and the prices to buy and sell at. Basically saying "if you bought X amount of shares here and sold it at X price here, you could make a quick 500 bucks!" I then use a trading sim to trade those symbols and try to emulate what he says. Piece of cake. ;) Wow, that's way more than what I make in a day. He tells me not to tell anyone about my trading because most people just think it's gambling. "Don't tell your Mom either." He says most people who try this fail because they don't know how to stop out and take a loss. He talks about how every day he was in a popular chatroom, some noob would say something like, "Hey guys, I bought at X price (high of day or thereabout), my account is down 80% .. uhh I'm waiting for it to come back to my entry price.. what do I do??" Well shit, I'm not that fucking dumb. If that's all it takes to make it is to buy low, sell high, and always respect a stop then I'll be fantastic. By the end of September, I was very determined. I had been looking forward everyday to quitting my painting job because while it used to be something I loved, it was just sucking the life out of me at this point. Especially working commercial, you just get worked like a dog. I wasn't living up to my potential with that job and I felt awful for it every minute of every day. I knew that I needed a job where I could use my brain instead of slaving my body to fulfill someone else's dream. "Someone's gotta put gas in the boss's boat" That's a line my buddy once said that he probably doesn't know sticks with me to this day. It ain't me. So now it was October 2018, and I'm back living with Mom n' Pops. I was so determined that on my last day of work I gave away all of my painting tools to my buddy like, "here, I don't need this shit." Moving out of my rental was easy because I don't own much, 'can't take it with ya.' Excited for the future I now spend my days bundled up in winter wear in the cold air of our hoarder-like basement with a space heater at my feet. My laptop connected to a TV monitor, I'm looking at stocks next to my dad and his screens in his cluttered corner. Our Trading Dungeon. I don't trade any money, (I wasn't aware of any real-time sim programs) I just watch and learn from my dad. Now you've got to keep in mind, and look at a chart of the S&P, this is right at the beginning of Oct '18, I came in right at the market top. Right at the start of the shit-show. For the next three or four weeks, I watch my dad pretty much scratch on every trade, taking small loss after small loss, and cursing under his breath at the screen. Click. "dammit." Click. "shit." Click. Click. "you fuck." Click. This gets really fucking annoying as time goes on, for weeks, and I get this attitude like ugh, just let me do it. I'll make us some fucking money. So I convince him to let me start trading live. I didn't know anything about brokers so I set up an account using his broker, which was Fidelity. It was a pain and I had to jump through a lot of hoops to be able to day trade with this broker. I actually had to make a joint account with my dad as I couldn't get approved for margin because my credit score is shit (never owned a credit card) and my net worth, not much. Anyways, they straight up discourage day trading and I get all kinds of warning messages with big red letters that made me shit myself like oooaaahhh what the fuck did I do now. Did I forget to close a position?? Did I fat finger an order? Am I now in debt for thousands of dollars to Fidelity?? They're going to come after me like they came after Madoff. Even after you are approved for PDT you still get these warning messages in your account. Some would say if I didn't comply with "whatever rule" they'd even suspend my account for 60 days. It was ridiculous, hard to describe because it doesn't make sense, and it took the support guy on the phone a good 20 minutes to explain it to me. Basically I got the answer "yea it's all good, you did nothing wrong. As long as you have the cash in your account to cover whatever the trade balance was" So I just kept getting these warnings that I had to ignore everyday. I hate Fidelity. My fist day trading, I made a few so-so trades and then I got impatient. I saw YECO breaking out and I chased, soon realized I chased, so I got out. -$500. Shit, I have to make that back, I don't want my dad to see this. Got back in. Shit. -$400. So my first day trading, I lost $900. My dumbass was using market orders so that sure didn't help. I reeled the risk back and traded more proper position size for a while, but the commissions for a round trip are $10, so taking six trades per day, I'm losing $60 at a minimum on top of my losing trades. Quickly I realized I didn't know what the hell I was doing. What about my dad? Does HE know? One day, in the trading dungeon, I was frustrated with the experience I'd been having and just feeling lost overall. I asked him. "So, are you consistently profitable?" "mmm... I do alright." "Yea but like, are you consistently profitable over time?" ......................... "I do alright." Silence. "Do you know any consistently profitable traders?" "Well the one who wrote that book I gave you, Tina Turner.. umm and there's Ross Cameron" ...................... "So you don't know any consistently profitable traders, personally.. People who are not trying to sell you something?" "no." ................... Holy fucking shit, what did this idiot get me into. He can't even say it to my face and admit it. This entire life decision, quitting my job, leaving my rental, moving from my city to back home, giving shit away, it all relied on that. I was supposed to be an apprentice to a consistently profitable day trader who trades for a living. It was so assumed, that I never even thought to ask! Why would you tell your son to quit his job for something that you yourself cannot do? Is this all a scam? Did my dad get sold a DREAM? Did I buy into some kind of ponzi scheme? How many of those winning trades he showed me did he actually take?Are there ANY consistently profitable DAY TRADERS who TRADE FOR A LIVING?Why do 90% fail? Is it because the other 10% are scamming the rest in some way? Completely lost, I just had no clue what was what. If I was going to succeed at this, if it was even possible to succeed at this, it was entirely up to me. I had to figure it out. I still remember the feeling like an overwhelming, crushing weight on me as it all sunk in. This is going to be a big deal.. I'm not the type to give up though. In that moment, I said to myself, I'm going to fucking win at this. I don't know if this is possible, but I'm going to find out. I cannot say with certainty that I will succeed, but no matter what, I will not give up. I'm going to give all of myself to this. I will find the truth. It was a deep moment for me. I don't like getting on my soapbox, but when I said those things, I meant it. I really, really meant it. I still do, and I still will. Now it might seem like I'm being hard on my dad. He has done a lot for me and I am very grateful for that. We're sarcastic as hell to each other, I love the bastard. Hell, I wouldn't have the opportunity to trade at all if not for him. But maybe you can also understand how overwhelmed I felt at that time. Not on purpose, of course he means well. But I am not a trusting person at all and I was willing to put trust into him after all the convincing and was very disappointed when I witnessed the reality of the situation. I would have structured this transition to trading differently, you don't just quit your job and start trading. Nobody was there to tell me that! I was told quite the opposite. I'm glad it happened anyway, so fuck it. I heard Kevin O'Leary once say, "If I knew in the beginning how difficult starting a business was, I don't know that I ever would've started." This applies very much to my experience. So what did I do? Well like everyone I read and read and Googled and Youtube'd my ass off. I sure as hell didn't pay for a course because I didn't have the money and I'm like 99% sure I would be disappointed by whatever they were teaching as pretty much everything can be found online or in books for cheap or free. Also I discovered Thinkorswim and I used that to sim trade in real-time for three months. This is way the hell different than going on a sim at 5x speed and just clicking a few buy and sell buttons. Lol, useless. When you sim trade in real-time you're forced to have a routine, and you're forced to experience missing trades with no chance to rewind or skip the boring parts. That's a step up because you're "in it". I also traded real money too, made some, lost more than I made. went back to sim. Traded live again, made some but lost more, fell back to PDT. Dad fronted me more cash. This has happened a few times. He's dug me out of some holes because he believes in me. I'm fortunate. Oh yeah, about that book my dad gave me. It's called A Beginner's Guide to Day Trading Online by Toni Turner. This book... is shit. This was supposed to be my framework for how to trade and I swear it's like literally nothing in this book fucking works lol. I could tell this pretty early on, intuitively, just by looking at charts. It's basically a buy-the-breakout type strategy, if you want to call it a strategy. No real methodology to anything just vague crap and showing you cherry-picked charts with entries that are way too late. With experience in the markets you will eventually come to find that MOST BREAKOUTS FAIL. It talks about support/resistance lines and describes them as, "picture throwing a ball down at the floor, it bounces up and then it bounces down off the ceiling, then back up." So many asinine assumptions. These ideas are a text book way of how to trade like dumb money. Don't get me wrong, these trades can work but you need to be able to identify the setups which are more probable and identify reasons not to take others. So I basically had to un-learn all that shit. Present day, I have a routine in place. I'm out of the dungeon and trade by myself in my room. I trade with a discount broker that is catered to day traders and doesn't rape me on commissions. My mornings have a framework for analyzing the news and economic events of the particular day, I journal so that I can recognize what I'm doing right and where I need to improve. I record my screens for later review to improve my tape reading skills. I am actually tracking my trades now and doing backtesting in equities as well as forex. I'm not a fast reader but I do read a lot, as much as I can. So far I have read about 17-18 books on trading and psychology. I've definitely got a lot more skilled at trading. As of yet I am not net profitable. Writing that sounds like selling myself short though, honestly. Because a lot of my trades are very good and are executed well. I have talent. However, lesser quality trades and trades which are inappropriately sized/ attempted too many times bring down that P/L. I'm not the type of trader to ignore a stop, I'm more the trader that just widdles their account down with small losses. I trade live because at this point, sim has lost its value, live trading is the ultimate teacher. So I do trade live but I just don't go big like I did before, I keep it small. I could show you trades that I did great on and make people think I'm killing it but I really just don't need the validation. I don't care, I'm real about it. I just want to get better. I don't need people to think I'm a genius, I'm just trying to make some money. Psychologically, to be honest with you, I currently feel beaten down and exhausted. I put a lot of energy into this, and sometimes I work myself physically sick, it's happened multiple times. About once a week, usually Saturday, I get a headache that lasts all day. My body's stress rebound mechanism you might call it. Getting over one of those sick periods now, which is why I barely even traded this week. I know I missed a lot of volatility this week and some A+ setups but I really just don't give a shit lol. I just currently don't have the mental capital, I think anyone who's been day trading every day for a year or more can understand what I mean by that. I'm still being productive though. Again, I'm not here to present an image of some badass trader, just keeping it real. To give something 100% day after day while receiving so much resistance, it takes a toll on you. So a break is necessary to avoid making bad trading decisions. That being said, I'm progressing more and more and eliminating those lesser quality trades and identifying my bad habits. I take steps to control those habits and strengthen my good habits such as having a solid routine, doing review and market research, taking profits at the right times, etc. So maybe I can give some advice to some that are new to day trading, those who are feeling lost, or just in general thinking "...What the fuck..." I thought that every night for the first 6 months lol. First of all, manage expectations. If you read my story of how I came to be a trader, you can see I had a false impression of trading in many aspects. Give yourself a realistic time horizon to how progress should be made. Do not set a monetary goal for yourself, or any time-based goal that is measured in your P/L. If you tell yourself, "I want to make X per day, X per week, or X per year" you're setting yourself up to feel like shit every single day when it's clear as the blue sky that you won't reach that goal anytime soon. As a matter of fact, it will appear you are moving further AWAY from that goal if you just focus on your P/L, which brings me to my next point. You will lose money. In the beginning, most likely, you will lose money. I did it, you'll do it, the greatest Paul Tudor Jones did it. Trading is a skill that needs to be developed, and it is a process. Just look at it as paying your tuition to the market. Sim is fine but don't assume you have acquired this skill until you are adept at trading real money. So when you do make that leap, just trade small. Just survive. Trade small. get the experience. Protect your capital. To reach break even on your bottom line is a huge accomplishment. In many ways, experience and screen time are the secret sauce. Have a routine. This is very important. I actually will probably make a more in-depth post in the future about this if people want it. When I first started, I was overwhelmed with the feeling "What the fuck am I supposed to DO?" I felt lost. There's no boss to tell you how to be productive or how to find the right stocks, which is mostly a blessing, but a curse for new traders. All that shit you see, don't believe all that bullshit. You know what I'm talking about. The bragposting, the clickbait Youtube videos, the ads preying on you. "I made X amount of money in a day and I'm fucking 19 lolz look at my Lamborghini" It's all a gimmick to sell you the dream. It's designed to poke right at your insecurities, that's marketing at it's finest. As for the bragposting on forums honestly, who cares. And I'm not pointing fingers on this forum, just any trading forum in general. They are never adding anything of value to the community in their posts. They never say this is how I did it. No, they just want you to think they're a genius. I can show you my $900 day trading the shit out of TSLA, but that doesn't tell the whole story. Gamblers never show you when they lose, you might never hear from those guys again because behind the scenes, they over-leveraged themselves and blew up. Some may actually be consistently profitable and the trades are 100% legit. That's fantastic. But again, I don't care, and you shouldn't either. You shouldn't compare yourself to others. "Everyone's a genius in a bull market" Here's the thing.. Markets change. Edges disappear. Trading strategies were made by traders who traded during times when everything they did worked. Buy all the breakouts? Sure! It's the fucking tech bubble! Everything works! I'm sure all those typical setups used to work fantastically at some point in time. But the more people realize them, the less effective they are. SOMEONE has to be losing money on the opposite side of a winning trade, and who's willing to do that when the trade is so obvious? That being said, some things are obvious AND still work. Technical analysis works... sometimes. The caveat to that is, filters. You need to, in some way, filter out certain setups from others. For example, you could say, "I won't take a wedge pattern setup on an intraday chart unless it is in a higher time frame uptrend, without nearby resistance, and trading above average volume with news on that day." Have a plan. If you can't describe your plan, you don't have one. Think in probabilities. You should think entirely in "if, then" scenarios. If X has happens, then Y will probably happen. "If BABA breaks this premarket support level on the open I will look for a pop up to short into." Backtest. Most traders lose mainly because they think they have an edge but they don't. You read these books and all this stuff online telling you "this is a high probability setup" but do you know that for a fact? There's different ways to backtest, but I think the best way for a beginner is manual backtesting with a chart and an excel sheet. This builds up that screen time and pattern recognition faster. This video shows how to do that. Once I saw someone do it, it didn't seem so boring and awful as I thought it was. Intelligence is not enough. You're smarter than most people, that's great, but that alone is not enough to make you money in trading necessarily. Brilliant people try and fail at this all the time, lawyers, doctors, surgeons, engineers.. Why do they fail if they're so smart? It's all a fucking scam. No, a number of reasons, but the biggest is discipline and emotional intelligence. Journal every day.K no thanks, bro. That's fucking gay. That's how I felt when I heard this advice but really that is pride and laziness talking. This is the process you need to do to learn what works for you and what doesn't. Review the trades you took, what your plan was, what actually happened, how you executed. Identify what you did well and what you can work on. This is how you develop discipline and emotional intelligence, by monitoring yourself. How you feel physically and mentally, and how these states affect your decision-making. Always be learning. Read as much as you can. Good quality books. Here's the best I've read so far; Market Wizards -Jack Schwager One Good Trade -Mike Bellafiore The Daily Trading Coach -Bret Steenbarger Psycho-cybernetics -Maxwell Maltz Why You Win or Lose -Fred Kelly The Art and Science of Technical Analysis -Adam Grimes Dark Pools -Scott Patterson Be nimble. Everyday I do my research on the symbols I'm trading and the fundamental news that's driving them. I might be trading a large cap that's gapping up with a beat on EPS and revenue and positive guidance. But if I see that stock pop up and fail miserably on the open amidst huge selling pressure, and I look and see the broader market tanking, guess what, I'm getting short, and that's just day trading. The movement of the market, on an intraday timeframe, doesn't have to make logical sense. Adapt. In March I used to be able to buy a breakout on a symbol and swing it for the majority of the day. In the summer I was basically scalping on the open and being done for the day. Volatility changes, and so do my profit targets. Be accountable. Be humble. Be honest. I take 100% responsibility for every dime I've lost or made in the market. It's not the market makers fault, it wasn't the HFTs, I pressed the button. I know my bad habits and I know my good habits.. my strengths/ my weaknesses. Protect yourself from toxicity. Stay away from traders and people on forums who just have that negative mindset. That "can't be done" mentality. Day trading is a scam!! It can certainly be done. Prove it, you bastard. I'm posting to this particular forum because I don't see much of that here and apparently the mods to a good job of not tolerating it. As the mod wrote in the rules, they're most likely raging from a loss. Also, the Stocktwits mentality of "AAPL is going to TANK on the open! $180, here we come. $$$" , or the grandiose stories, "I just knew AMZN was going to go up on earnings. I could feel it. I went ALL IN. Options money, baby! ka-ching!$" Lol, that is so toxic to a new trader. Get away from that. How will you be able to remain nimble when this is your thought process? Be good to yourself. Stop beating yourself up. You're an entrepreneur. You're boldly going where no man has gone before. You've got balls. Acknowledge your mistakes, don't identify with them. You are not your mistakes and you are not your bad habits. These are only things that you do, and you can take action necessary to do them less. It doesn't matter what people think. Maybe they think you're a fool, a gambler. You don't need their approval. You don't need to talk to your co-workers and friends about it to satisfy some subconscious plea for guidance; is this a good idea? You don't need anyone's permission to become the person you want to be. They don't believe in you? Fuck 'em. I believe in you.
Which are your Top 5 favourite coins out of the Top 100? An analysis.
I am putting together my investment portfolio for 2018 and made a complete summary of the current Top 100. Interestingly, I noticed that all coins can be categorized into 12 markets. Which markets do you think will play the biggest role in the coming year? Here is a complete overview of all coins in an excel sheet including name, market, TPS, risk profile, time since launch (negative numbers mean that they are launching that many months in the future) and market cap. You can also sort by all of these fields of course. Coins written in bold are the strongest contenders within their market either due to having the best technology or having a small market cap and still excellent technology and potential. https://docs.google.com/spreadsheets/d/1s8PHcNvvjuy848q18py_CGcu8elRGQAUIf86EYh4QZo/edit#gid=0 The 12 markets are
Currency 13 coins
Platform 25 coins
Ecosystem 9 coins
Privacy 10 coins
Currency Exchange Tool 8 coins
Gaming & Gambling 5 coins
Misc 15 coins
Social Network 4 coins
Fee Token 3 coins
Decentralized Data Storage 4 coins
Cloud Computing 3 coins
Stable Coin 2 coins
Before we look at the individual markets, we need to take a look of the overall market and its biggest issue scalability first: Cryptocurrencies aim to be a decentralized currency that can be used worldwide. Its goal is to replace dollar, Euro, Yen, all FIAT currencies worldwide. The coin that will achieve that will be worth several trillion dollars. Bitcoin can only process 7 transactions per second (TPS). In order to replace all FIAT, it would need to perform at at least VISA levels, which usually processes around 3,000 TPS, up to 25,000 TPS during peak times and a maximum of 64,000 TPS. That means that this cryptocurrency would need to be able to perform at least several thousand TPS. However, a ground breaking technology should not look at current technology to set a goal for its use, i.e. estimating the number of emails sent in 1990 based on the number of faxes sent wasn’t a good estimate. For that reason, 10,000 TPS is the absolute baseline for a cryptocurrency that wants to replace FIAT. This brings me to IOTA, which wants to connect all 80 billion IoT devices that are expected to exist by 2025, which constantly communicate with each other, creating 80 billion or more transactions per second. This is the benchmark that cryptocurrencies should be aiming for. Currently, 8 billion devices are connected to the Internet. With its Lightning network recently launched, Bitcoin is realistically looking at 50,000 possible soon. Other notable cryptocurrencies besides IOTA and Bitcoin are Nano with 7,000 TPS already tested, Dash with several billion TPS possible with Masternodes, Neo, LISK and RHOC with 100,000 TPS by 2020, Ripple with 50,000 TPS, Ethereum with 10,000 with Sharding. However, it needs to be said that scalability usually goes at the cost of decentralization and security. So, it needs to be seen, which of these technologies can prove itself resilient and performant. Without further ado, here are the coins of the first market
Market 1 - Currency:
Bitcoin: 1st generation blockchain with currently bad scalability currently, though the implementation of the Lightning Network looks promising and could alleviate most scalability concerns, scalability and high energy use.
Ripple: Centralized currency that might become very successful due to tight involvement with banks and cross-border payments for financial institutions; banks and companies like Western Union and Moneygram (who they are currently working with) as customers customers. However, it seems they are aiming for more decentralization now.https://ripple.com/dev-blog/decentralization-strategy-update/. Has high TPS due to Proof of Correctness algorithm.
Bitcoin Cash: Bitcoin fork with the difference of having an 8 times bigger block size, making it 8 times more scalable than Bitcoin currently. Further block size increases are planned. Only significant difference is bigger block size while big blocks lead to further problems that don't seem to do well beyond a few thousand TPS. Opponents to a block size argue that increasing the block size limit is unimaginative, offers only temporary relief, and damages decentralization by increasing costs of participation. In order to preserve decentralization, system requirements to participate should be kept low. To understand this, consider an extreme example: very big blocks (1GB+) would require data center level resources to validate the blockchain. This would preclude all but the wealthiest individuals from participating.Community seems more open than Bitcoin's though.
Litecoin : Little brother of Bitcoin. Bitcoin fork with different mining algorithm but not much else.Copies everything that Bitcoin does pretty much. Lack of real innovation.
Dash: Dash (Digital Cash) is a fork of Bitcoin and focuses on user ease. It has very fast transactions within seconds, low fees and uses Proof of Service from Masternodes for consensus. They are currently building a system called Evolution which will allow users to send money using usernames and merchants will find it easy to integrate Dash using the API. You could say Dash is trying to be a PayPal of cryptocurrencies. Currently, cryptocurrencies must choose between decentralization, speed, scalability and can pick only 2. With Masternodes, Dash picked speed and scalability at some cost of decentralization, since with Masternodes the voting power is shifted towards Masternodes, which are run by Dash users who own the most Dash.
IOTA: 3rd generation blockchain called Tangle, which has a high scalability, no fees and instant transactions. IOTA aims to be the connective layer between all 80 billion IOT devices that are expected to be connected to the Internet in 2025, possibly creating 80 billion transactions per second or 800 billion TPS, who knows. However, it needs to be seen if the Tangle can keep up with this scalability and iron out its security issues that have not yet been completely resolved.
Nano: 3rd generation blockchain called Block Lattice with high scalability, no fees and instant transactions. Unlike IOTA, Nano only wants to be a payment processor and nothing else, for now at least. With Nano, every user has their own blockchain and has to perform a small amount of computing for each transaction, which makes Nano perform at 300 TPS with no problems and 7,000 TPS have also been tested successfully. Very promising 3rd gen technology and strong focus on only being the fastest currency without trying to be everything.
Decred: As mining operations have grown, Bitcoin’s decision-making process has become more centralized, with the largest mining companies holding large amounts of power over the Bitcoin improvement process. Decred focuses heavily on decentralization with their PoW Pos hybrid governance system to become what Bitcoin was set out to be. They will soon implement the Lightning Network to scale up. While there do not seem to be more differences to Bitcoin besides the novel hybrid consensus algorithm, which Ethereum, Aeternity and Bitcoin Atom are also implementing, the welcoming and positive Decred community and professoinal team add another level of potential to the coin.
Aeternity: We’ve seen recently, that it’s difficult to scale the execution of smart contracts on the blockchain. Crypto Kitties is a great example. Something as simple as creating and trading unique assets on Ethereum bogged the network down when transaction volume soared. Ethereum and Zilliqa address this problem with Sharding. Aeternity focuses on increasing the scalability of smart contracts and dapps by moving smart contracts off-chain. Instead of running on the blockchain, smart contracts on Aeternity run in private state channels between the parties involved in the contracts. State channels are lines of communication between parties in a smart contract. They don’t touch the blockchain unless they need to for adjudication or transfer of value. Because they’re off-chain, state channel contracts can operate much more efficiently. They don’t need to pay the network for every time they compute and can also operate with greater privacy. An important aspect of smart contract and dapp development is access to outside data sources. This could mean checking the weather in London, score of a football game, or price of gold. Oracles provide access to data hosted outside the blockchain. In many blockchain projects, oracles represent a security risk and potential point of failure, since they tend to be singular, centralized data streams. Aeternity proposes decentralizing oracles with their oracle machine. Doing so would make outside data immutable and unchangeable once it reaches Aeternity’s blockchain. Of course, the data source could still be hacked, so Aeternity implements a prediction market where users can bet on the accuracy and honesty of incoming data from various oracles.It also uses prediction markets for various voting and verification purposes within the platform. Aeternity’s network runs on on a hybrid of proof of work and proof of stake. Founded by a long-time crypto-enthusiast and early colleague of Vitalik Buterin, Yanislav Malahov. Promising concept though not product yet
Bitcoin Atom: Atomic Swaps and hybrid consenus. This looks like the only Bitcoin clone that actually is looking to innovate next to Bitcoin Cash.
Dogecoin: Litecoin fork, fantastic community, though lagging behind a bit in technology.
Bitcoin Gold: A bit better security than bitcoin through ASIC resistant algorithm, but that's it. Not that interesting.
Digibyte: Digibyte's PoS blockchain is spread over a 100,000+ servers, phones, computers, and nodes across the globe, aiming for the ultimate level of decentralization. DigiByte rebalances the load between the five mining algorithms by adjusting the difficulty of each so one algorithm doesn’t become dominant. The algorithm's asymmetric difficulty has gained notoriety and been deployed in many other blockchains.DigiByte’s adoption over the past four years has been slow. It’s still a relatively obscure currency compared its competitors. The DigiByte website offers a lot of great marketing copy and buzzwords. However, there’s not much technical information about what they have planned for the future. You could say Digibyte is like Bitcoin, but with shorter blocktimes and a multi-algorithm. However, that's not really a difference big enough to truly set themselves apart from Bitcoin, since these technologies could be implemented by any blockchain without much difficulty. Their decentralization is probably their strongest asset, however, this also change quickly if the currency takes off and big miners decide to go into Digibyte.
Bitcoin Diamond Asic resistant Bitcoin and Copycat
Market 2 - Platform
Most of the cryptos here have smart contracts and allow dapps (Decentralized apps) to be build on their platform and to use their token as an exchange of value between dapp services.
Ethereum: 2nd generation blockchain that allows the use of smart contracts. Bad scalability currently, though this concern could be alleviated by the soon to be implemented Lightning Network aka Plasma and its Sharding concept.
EOS: Promising technology that wants to be able do everything, from smart contracts like Ethereum, scalability similar to Nano with 1000 tx/second + near instant transactions and zero fees, to also wanting to be a platform for dapps. However, EOS doesn't have a product yet and everything is just promises still. Highly overvalued right now. However, there are lots of red flags, have dumped $500 million Ether over the last 2 months and possibly bought back EOS to increase the size of their ICO, which has been going on for over a year and has raised several billion dollars. All in all, their market cap is way too high for that and not even having a product.
Cardano: Similar to Ethereum/EOS, however, only promises made with no delivery yet, highly overrated right now. Interesting concept though. Market cap way too high for not even having a product. Somewhat promising technology.
VeChain: Singapore-based project that’s building a business enterprise platform and inventory tracking system. Examples are verifying genuine luxury goods and food supply chains. Has one of the strongest communities in the crypto world. Most hyped token of all, with merit though.
Neo: Neo is a platform, similar to Eth, but more extensive, allowing dapps and smart contracts, but with a different smart contract gas system, consensus mechanism (PoS vs. dBfT), governance model, fixed vs unfixed supply, expensive contracts vs nearly free contracts, different ideologies for real world adoption. There are currently only 9 nodes, each of which are being run by a company/entity hand selected by the NEO council (most of which are located in china) and are under contract. This means that although the locations of the nodes may differ, ultimately the neo council can bring them down due to their legal contracts. In fact this has been done in the past when the neo council was moving 50 million neo that had been locked up. Also dbft (or neo's implmentation of it) has failed underload causing network outages during major icos. The first step in decentralization is that the NEO Counsel will select trusted nodes (Universities, business partners, etc.) and slowly become less centralized that way. The final step in decentralization will be allowing NEO holders to vote for new nodes, similar to a DPoS system (ARK/EOS/LISK). NEO has a regulation/government friendly ideology. Finally they are trying to work undewith the Chinese government in regards to regulations. If for some reason they wanted it shut down, they could just shut it down.
Stellar: PoS system, similar goals as Ripple, but more of a platform than only a currency. 80% of Stellar are owned by Stellar.org still, making the currency centralized.
Ethereum classic: Original Ethereum that decided not to fork after a hack. The Ethereum that we know is its fork. Uninteresing, because it has a lot of less resources than Ethereum now and a lot less community support.
Ziliqa: Zilliqa is building a new way of sharding. 2400 tpx already tested, 10,000 tps soon possible by being linearly scalable with the number of nodes. That means, the more nodes, the faster the network gets. They are looking at implementing privacy as well.
QTUM: Enables Smart contracts on the Bitcoin blockchain. Useful.
Icon: Korean ethereum. Decentralized application platform that's building communities in partnership with banks, insurance providers, hospitals, and universities. Focused on ID verification and payments. No big differentiators to the other 20 Ethereums, except that is has a product. That is a plus. Maybe cheap alternative to Ethereum.
LISK: Lisk's difference to other BaaS is that side chains are independent to the main chain and have to have their own nodes. Similar to neo whole allows dapps to deploy their blockchain to. However, Lisk is currently somewhat centralized with a small group of members owning more than 50% of the delegated positions. Lisk plans to change the consensus algorithm for that reason in the near future.
Rchain: Similar to Ethereum with smart contract, though much more scalable at an expected 40,000 TPS and possible 100,000 TPS. Not launched yet. No product launched yet, though promising technology. Not overvalued, probably at the right price right now.
ARDR: Similar to Lisk. Ardor is a public blockchain platform that will allow people to utilize the blockchain technology of Nxt through the use of child chains. A child chain, which is a ‘light’ blockchain that can be customized to a certain extent, is designed to allow easy self-deploy for your own blockchain. Nxt claims that users will "not need to worry" about security, as that part is now handled by the main chain (Ardor). This is the chief innovation of Ardor. Ardor was evolved from NXT by the same company. NEM started as a NXT clone.
Ontology: Similar to Neo. Interesting coin
Bytom: Bytom is an interactive protocol of multiple byte assets. Heterogeneous byte-assets (indigenous digital currency, digital assets) that operate in different forms on the Bytom Blockchain and atomic assets (warrants, securities, dividends, bonds, intelligence information, forecasting information and other information that exist in the physical world) can be registered, exchanged, gambled and engaged in other more complicated and contract-based interoperations via Bytom.
Nxt: Similar to Lisk
Stratis: Different to LISK, Stratis will allow businesses and organizations to create their own blockchain according to their own needs, but secured on the parent Stratis chain. Stratis’s simple interface will allow organizations to quickly and easily deploy and/or test blockchain functionality of the Ethereum, BitShares, BitCoin, Lisk and Stratis environements.
Status: Status provides access to all of Ethereum’s decentralized applications (dapps) through an app on your smartphone. It opens the door to mass adoption of Ethereum dapps by targeting the fastest growing computer segment in the world – smartphone users.16. Ark: Fork of Lisk that focuses on a smaller feature set. Ark wallets can only vote for one delegate at a time which forces delegates to compete against each other and makes cartel formations incredibly hard, if not impossible.
Neblio: Similar to Neo, but 30x smaller market cap.
NEM: Is similar to Neo No marketing team, very high market cap for little clarilty what they do.
Bancor: Bancor is a Decentralized Liquidity Network that allows you to hold any Ethereum token and convert it to any other token in the network, with no counter party, at an automatically calculated price, using a simple web wallet.
Dragonchain: The Purpose of DragonChain is to help companies quickly and easily incorporate blockchain into their business applications. Many companies might be interested in making this transition because of the benefits associated with serving clients over a blockchain – increased efficiency and security for transactions, a reduction of costs from eliminating potential fraud and scams, etc.
Skycoin: Transactions with zero fees that take apparently two seconds, unlimited transaction rate, no need for miners and block rewards, low power usage, all of the usual cryptocurrency technical vulnerabilities fixed, a consensus mechanism superior to anything that exists, resistant to all conceivable threats (government censorship, community infighting, cybenucleaconventional warfare, etc). Skycoin has their own consensus algorithm known as Obelisk written and published academically by an early developer of Ethereum. Obelisk is a non-energy intensive consensus algorithm based on a concept called ‘web of trust dynamics’ which is completely different to PoW, PoS, and their derivatives. Skywire, the flagship application of Skycoin, has the ambitious goal of decentralizing the internet at the hardware level and is about to begin the testnet in April. However, this is just one of the many facets of the Skycoin ecosystem. Skywire will not only provide decentralized bandwidth but also storage and computation, completing the holy trinity of commodities essential for the new internet. Skycion a smear campaign launched against it, though they seem legit and reliable. Thus, they are probably undervalued.
Market 3 - Ecosystem
The 3rd market with 11 coins is comprised of ecosystem coins, which aim to strengthen the ease of use within the crypto space through decentralized exchanges, open standards for apps and more
Nebulas: Similar to how Google indexes webpages Nebulas will index blockchain projects, smart contracts & data using the Nebulas rank algorithm that sifts & sorts the data. Developers rewarded NAS to develop & deploy on NAS chain. Nebulas calls this developer incentive protocol – basically rewards are issued based on how often dapp/contract etc. is used, the more the better the rewards and Proof of devotion. Works like DPoS except the best, most economically incentivised developers (Bookkeeppers) get the forging spots. Ensuring brains stay with the project (Cross between PoI & PoS). 2,400 TPS+, DAG used to solve the inter-transaction dependencies in the PEE (Parallel Execution Environment) feature, first crypto Wallet that supports the Lightening Network.
Waves: Decentralized exchange and crowdfunding platform. Let’s companies and projects to issue and manage their own digital coin tokens to raise money.
Salt: Leveraging blockchain assets to secure cash loands. Plans to offer cash loans in traditional currencies, backed by your cryptocurrency assets. Allows lenders worldwide to skip credit checks for easier access to affordable loans.
CHAINLINK: ChainLink is a decentralized oracle service, the first of its kind. Oracles are defined as an ‘agent’ that finds and verifies real-world occurrences and submits this information to a blockchain to be used in smart contracts.With ChainLink, smart contract users can use the network’s oracles to retrieve data from off-chain application program interfaces (APIs), data pools, and other resources and integrate them into the blockchain and smart contracts. Basically, ChainLink takes information that is external to blockchain applications and puts it on-chain. The difference to Aeternity is that Chainlink deploys the smart contracts on the Ethereum blockchain while Aeternity has its own chain.
WTC: Combines blockchain with IoT to create a management system for supply chains Interesting
Ethos unifyies all cryptos. Ethos is building a multi-cryptocurrency phone wallet. The team is also building an investment diversification tool and a social network
Aion: Aion is the token that pays for services on the Aeternity platform.
USDT: is no cryptocurrency really, but a replacement for dollar for trading After months of asking for proof of dollar backing, still no response from Tether.
Market 4 - Privacy
The 4th market are privacy coins. As you might know, Bitcoin is not anonymous. If the IRS or any other party asks an exchange who is the identity behind a specific Bitcoin address, they know who you are and can track back almost all of the Bitcoin transactions you have ever made and all your account balances. Privacy coins aim to prevent exactly that through address fungability, which changes addresses constantly, IP obfuscation and more. There are 2 types of privacy coins, one with completely privacy and one with optional privacy. Optional Privacy coins like Dash and Nav have the advantage of more user friendliness over completely privacy coins such as Monero and Enigma.
Monero: Currently most popular privacy coin, though with a very high market cap. Since their privacy is all on chain, all prior transactions would be deanonymized if their protocol is ever cracked. This requires a quantum computing attack though. PIVX is better in that regard.
Zcash: A decentralized and open-source cryptocurrency that hide the sender, recipient, and value of transactions. Offers users the option to make transactions public later for auditing. Decent privacy coin, though no default privacy
Verge: Calls itself privacy coin without providing private transactions, multiple problems over the last weeks has a toxic community, and way too much hype for what they have.
Bytecoin: First privacy-focused cryptocurrency with anonymous transactions. Bytecoin’s code was later adapted to create Monero, the more well-known anonymous cryptocurrency. Has several scam accusations, 80% pre-mine, bad devs, bad tech
Bitcoin Private: A merge fork of Bitcoin and Zclassic with Zclassic being a fork of Zcash with the difference of a lack of a founders fee required to mine a valid block. This promotes a fair distribution, preventing centralized coin ownership and control. Bitcoin private offers the optional ability to keep the sender, receiver, and amount private in a given transaction. However, this is already offered by several good privacy coins (Monero, PIVX) and Bitcoin private doesn't offer much more beyond this.
Komodo: The Komodo blockchain platform uses Komodo’s open-source cryptocurrency for doing transparent, anonymous, private, and fungible transactions. They are then made ultra-secure using Bitcoin’s blockchain via a Delayed Proof of Work (dPoW) protocol and decentralized crowdfunding (ICO) platform to remove middlemen from project funding. Offers services for startups to create and manage their own Blockchains.
PIVX: As a fork of Dash, PIVX uses an advanced implementation of the Zerocoin protocol to provide it’s privacy. This is a form of zeroknowledge proofs, which allow users to spend ‘Zerocoins’ that have no link back to them. Unlike Zcash u have denominations in PIVX, so they can’t track users by their payment amount being equal to the amount of ‘minted’ coins, because everyone uses the same denominations. PIVX is also implementing Bulletproofs, just like Monero, and this will take care of arguably the biggest weakness of zeroknowledge protocols: the trusted setup.
Zcoin: PoW cryptocurrency. Private financial transactions, enabled by the Zerocoin Protocol. Zcoin is the first full implementation of the Zerocoin Protocol, which allows users to have complete privacy via Zero-Knowledge cryptographic proofs.
Enigma: Monero is to Bitcoin what enigma is to Ethereum. Enigma is for making the data used in smart contracts private. More of a platform for dapps than a currency like Monero. Very promising.
Navcoin: Like bitcoin but with added privacy and pos and 1,170 tps, but only because of very short 30 second block times. Though, privacy is optional, but aims to be more user friendly than Monero. However, doesn't really decide if it wants to be a privacy coin or not. Same as Zcash.Strong technology, non-shady team.
Tenx: Raised 80 million, offers cryptocurrency-linked credit cards that let you spend virtual money in real life. Developing a series of payment platforms to make spending cryptocurrency easier. However, the question is if full privacy coins will be hindered in growth through government regulations and optional privacy coins will become more successful through ease of use and no regulatory hindrance.
Market 5 - Currency Exchange Tool
Due to the sheer number of different cryptocurrencies, exchanging one currency for the other it still cumbersome. Further, merchants don’t want to deal with overcluttered options of accepting cryptocurrencies. This is where exchange tool like Req come in, which allow easy and simple exchange of currencies.
Cryptonex: Fiat and currency exchange between various blockchain services, similar to REQ.
QASH: Qash is used to fuel its liquid platform which will be an exchange that will distribute their liquidity pool. Its product, the Worldbook is a multi-exchange order book that matches crypto to crypto, and crypto to fiat and the reverse across all currencies. E.g., someone is selling Bitcoin is USD on exchange1 not owned by Quoine and someone is buying Bitcoin in EURO on exchange 2 not owned by Quoine. If the forex conversions and crypto conversions match then the trade will go through and the Worldbook will match it, it'll make the sale and the purchase on either exchange and each user will get what they wanted, which means exchanges with lower liquidity if they join the Worldbook will be able to fill orders and take trade fees they otherwise would miss out on.They turned it on to test it a few months ago for an hour or so and their exchange was the top exchange in the world by 4x volume for the day because all Worldbook trades ran through it. Binance wants BNB to be used on their one exchange. Qash wants their QASH token embedded in all of their partners. More info here https://www.reddit.com/CryptoCurrency/comments/8a8lnwhich_are_your_top_5_favourite_coins_out_of_the/dwyjcbb/?context=3
Kyber: network Exchange between cryptocurrencies, similar to REQ. Features automatic coin conversions for payments. Also offers payment tools for developers and a cryptocurrency wallet.
Achain: Building a boundless blockchain world like Req .
Req: Exchange between cryptocurrencies.
Bitshares: Exchange between cryptocurrencies. Noteworthy are the 1.5 second average block times and throughput potential of 100,000 transactions per second with currently 2,400 TPS having been proven. However, bitshares had several Scam accusations in the past.
Loopring: A protocol that will enable higher liquidity between exchanges and personal wallets.
ZRX: Open standard for dapps. Open, permissionless protocol allowing for ERC20 tokens to be traded on the Ethereum blockchain. In 0x protocol, orders are transported off-chain, massively reducing gas costs and eliminating blockchain bloat. Relayers help broadcast orders and collect a fee each time they facilitate a trade. Anyone can build a relayer.
Market 6 - Gaming
With an industry size of $108B worldwide, Gaming is one of the largest markets in the world. For sure, cryptocurrencies will want to have a share of that pie.
Storm: Mobile game currency on a platform with 9 million players.
Fun: A platform for casino operators to host trustless, provably-fair gambling through the use of smart contracts, as well as creating their own implementation of state channels for scalability.
Electroneum: Mobile game currency They have lots of technical problems, such as several 51% attacks
Wax: Marketplace to trade in-game items
Market 7 - Misc
There are various markets being tapped right now. They are all summed up under misc.
OMG: Omise is designed to enable financial services for people without bank accounts. It works worldwide and with both traditional money and cryptocurrencies.
Power ledger: Australian blockchain-based cryptocurrency and energy trading platform that allows for decentralized selling and buying of renewable energy. Unique market and rather untapped market in the crypto space.
Populous: A platform that connects business owners and invoice buyers without middlemen. Invoice sellers get cash flow to fund their business and invoice buyers earn interest. Similar to OMG, small market.
Monacoin: The first Japanese cryptocurrency. Focused on micro-transactions and based on a popular internet meme of a type-written cat. This makes it similar to Dogecoin. Very niche, tiny market.
Revain: Legitimizing reviews via the blockchain. Interesting concept, though market not as big.
Augur: Platform to forecast and make wagers on the outcome of real-world events (AKA decentralized predictions). Uses predictions for a “wisdom of the crowd” search engine. Not launched yet.
Substratum: Revolutionzing hosting industry via per request billing as a decentralized internet hosting system. Uses a global network of private computers to create the free and open internet of the future. Participants earn cryptocurrency. Interesting concept.
Veritaseum: Is supposed to be a peer to peer gateway, though it looks like very much like a scam.
TRON: Tronix is looking to capitalize on ownership of internet data to content creators. However, they plagiarized their white paper, which is a no go. They apologized, so it needs to be seen how they will conduct themselves in the future. Extremely high market cap for not having a product, nor proof of concept.
Syscoin: A cryptocurrency with a decentralized marketplace that lets people buy and sell products directly without third parties. Trying to remove middlemen like eBay and Amazon.
Hshare: Most likely scam because of no code changes, most likely pump and dump scheme, dead community.
BAT: An Ethereum-based token that can be exchanged between content creators, users, and advertisers. Decentralized ad-network that pays based on engagement and attention.
Dent: Decentralizeed exchange of mobile data, enabling mobile data to be marketed, purchased or distributed, so that users can quickly buy or sell data from any user to another one.
Ncash: End to end encrypted Identification system for retailers to better serve their customers .
Factom Secure record-keeping system that allows companies to store their data directly on the Blockchain. The goal is to make records more transparent and trustworthy .
Market 8 - Social network
Web 2.0 is still going strong and Web 3.0 is not going to ignore it. There are several gaming tokens already out there and a few with decent traction already, such as Steem, which is Reddit with voting through money is a very interesting one.
Mithril: As users create content via social media, they will be rewarded for their contribution, the better the contribution, the more they will earn
Steem: Like Reddit, but voting with money. Already launched product and Alexa rank 1,000 Thumbs up.
Rdd: Reddcoin makes the process of sending and receiving money fun and rewarding for everyone. Reddcoin is dedicated to one thing – tipping on social networks as a way to bring cryptocurrency awareness and experience to the general public.
Kin: Token for the platform Kik. Kik has a massive user base of 400 million people. Replacing paying with FIAT with paying with KIN might get this token to mass adoption very quickly.
Market 9 - Fee token
Popular exchanges realized that they can make a few billion dollars more by launching their own token. Owning these tokens gives you a reduction of trading fees. Very handy and BNB (Binance Coin) has been one of the most resilient tokens, which have withstood most market drops over the last weeks and was among the very few coins that could show growth.
BNB: Fee token for Binance
Gas: Not a Fee token for an exchange, but it is a dividend paid out on Neo and a currency that can be used to purchase services for dapps.
Kucoin: Fee token for Kucoin
Market 10 - Decentralized Data Storage
Currently, data storage happens with large companies or data centers that are prone to failure or losing data. Decentralized data storage makes loss of data almost impossible by distributing your files to numerous clients that hold tiny pieces of your data. Remember Torrents? Torrents use a peer-to-peer network. It is similar to that. Many users maintain copies of the same file, when someone wants a copy of that file, they send a request to the peer-to-peer network., users who have the file, known as seeds, send fragments of the file to the requester., he requester receives many fragments from many different seeds, and the torrent software recompiles these fragments to form the original file.
Gbyte: Byteball data is stored and ordered using directed acyclic graph (DAG) rather than blockchain. This allows all users to secure each other's data by referencing earlier data units created by other users, and also removes scalability limits common for blockchains, such as blocksize issue.
Siacoin: Siacoin is decentralized storage platform. Distributes encrypted files to thousands of private users who get paid for renting out their disk space. Anybody with siacoins can rent storage from hosts on Sia. This is accomplish via "smart" storage contracts stored on the Sia blockchain. The smart contract provides a payment to the host only after the host has kept the file for a given amount of time. If the host loses the file, the host does not get paid.
Maidsafecoin: MaidSafe stands for Massive Array of Internet Disks, Secure Access for Everyone.Instead of working with data centers and servers that are common today and are vulnerable to data theft and monitoring, SAFE’s network uses advanced P2P technology to bring together the spare computing capacity of all SAFE users and create a global network. You can think of SAFE as a crowd-sourced internet. All data and applications reside in this network. It’s an autonomous network that automatically sets prices and distributes data and rents out hard drive disk space with a Blockchain-based storage solutions.When you upload a file to the network, such as a photo, it will be broken into pieces, hashed, and encrypted. The data is then randomly distributed across the network. Redundant copies of the data are created as well so that if someone storing your file turns off their computer, you will still have access to your data. And don’t worry, even with pieces of your data on other people’s computers, they won’t be able to read them. You can earn MadeSafeCoins by participating in storing data pieces from the network on your computer and thus earning a Proof of Resource.
Storj: Storj aims to become a cloud storage platform that can’t be censored or monitored, or have downtime. Your files are encrypted, shredded into little pieces called 'shards', and stored in a decentralized network of computers around the globe. No one but you has a complete copy of your file, not even in an encrypted form.
Market 11 - Cloud computing
Obviously, renting computing power, one of the biggest emerging markets as of recent years, e.g. AWS and Digital Ocean, is also a service, which can be bought and managed via the blockchain.
Golem: Allows easy use of Supercomputer in exchange for tokens. People worldwide can rent out their computers to the network and get paid for that service with Golem tokens.
Elf: Allows easy use of Cloud computing in exchange for tokens.
Market 12 - Stablecoin
Last but not least, there are 2 stablecoins that have established themselves within the market. A stable coin is a coin that wants to be independent of the volatility of the crypto markets. This has worked out pretty well for Maker and DGD, accomplished through a carefully diversified currency fund and backing each token by 1g or real gold respectively. DO NOT CONFUSE DGD AND MAKER with their STABLE COINS DGX and DAI. DGD and MAKER are volatile, because they are the companies of DGX and DAI. DGX and DAI are the stable coins.
DGD: Platform of the Stablecoin DGX. Every DGX coin is backed by 1g of gold and make use proof of asset consensus.
Maker: Platform of the Stablecoin DAI that doesn't vary much in price through widespread and smart diversification of assets.
EDIT: Added a risk factor from 0 to 10. The baseline is 2 for any crypto. Significant scandals, mishaps, shady practices, questionable technology, increase the risk factor. Not having a product yet automatically means a risk factor of 6. Strong adoption and thus strong scrutiny or positive community lower the risk factor. EDIT2: Added a subjective potential factor from 0 to 10, where its overall potential and a small or big market cap is factored in. Bitcoin with lots of potential only gets a 9, because of its massive market cap, because if Bitcoin goes 10x, smaller coins go 100x, PIVX gets a 10 for being as good as Monero while carrying a 10x smaller market cap, which would make PIVX go 100x if Monero goes 10x.
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:
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.
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.
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.
“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%.
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.
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.
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 FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
Friday 9.27.19 After Market Close:
([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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