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Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter. Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic! Keep any feedback or questions coming in the replies below. Before you read this note, please start with Part I and then Part II so it hangs together and makes sense. Part III
Squeezes and other risks
Crap trades, timeouts and monthly limits
Squeezes and other risks
We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.
Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem. This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week. For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.
Short squeezes bring a lot of danger and perhaps some opportunity. The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class. A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone. There's a reason for the car, don't worry Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price. If you sell or short a stock you must be prepared to buy it back to go flat at some point. To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price. Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble. Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it. The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard. Incredible event Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.” If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely. This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze. For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts. A trading mentor when I worked at the investment bank once advised me: Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.
Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy. Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite. A famous example of this going wrong was the Swiss National Bank de-peg in 2012. The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’. They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally. Then this happened. Something that changed FX markets forever The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%. Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.
We have talked about short squeezes. But how do you know what the market position is? And should you care? Let’s start with the first. You should definitely care. Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable. To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on. On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy. We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like. A carry trade position clear-out in action Knowing if the market is currently at extreme levels of long or short can therefore be helpful. The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT"). This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market. Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy. You can find the data online for free and download it directly here. Raw format is kinda hard to work with However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”. But you can easily get visualisations You can visually spot extreme positioning. It is extremely powerful. Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information. As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning. For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back? A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity. For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?” In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit. If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.
Retail traders often drastically underestimate how correlated their bets are. Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large. Bruce Kovner of hedge fund, Caxton Associates For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem. Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue. Chart from TradingView So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together. The more diversified your portfolio of bets are, the more risk you can take on each. There’s a really good video, explaining the benefits of diversification from Ray Dalio. A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance. But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done? For example:
You might diversify across time horizons by having a mix of short-term and long-term trades.
You might diversify across asset classes - trading some FX but also crypto and equities.
You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return. The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?
Crap trades, timeouts and monthly limits
One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction. It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade. Flat is a position. Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it. Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month. Be strict with yourself and walk away Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first. Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period. Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture. Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal. When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.
That's a wrap on risk management
Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback. Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results. Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below. News Trading Part I
Why use the economic calendar
Reading the economic calendar
Knowing what's priced in
First order thinking vs second order thinking
News Trading Part II
Preparing for quantitative and qualitative releases
Data surprise index
Using recent events to predict future reactions
Buy the rumour, sell the fact
The mysterious 'position trim' effect
Some key FX releases
*** Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
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%
Demo Trading Results
Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc). A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade. I'm heading out of town next week, then after that it'll be time to take this sucker live!
Date range: 7/9-7/30
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
Live Trading Results
I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
Hello. There have been both positive and negative comments about IM Academy. Some people believe it's a pyramid scheme while others believe it's the real deal. I'm here to give my thoughts on what I have experienced since joining IM Academy. Since day one, there has been nothing but support and motivation from every individual I have come in contact with. In our group, we have over 2000 members. I am learning A LOT about FOREX, HFX, DCX, how to be an IBO (Independent Business Owner) and more! Do they promote? YES, they do promote the EDUCATION, the SKILL SET, the TRAININGS, the WEBINARS, SUPPORTING not just your team, but others, they promote having a positive MIND SET and reaching out to your MENTORS! They encourage you to inform others of these opportunities in the same way you would inform others of your favorite TV Show, restaurant, sports team, your favorite drink, etc. Do you HAVE to inform others of this life changing skill set that can possibly enhance not only your finances, but your way of life? NO, you do NOT HAVE to say one word about it. The only difference between them encouraging you to tell others about the Academy, the MILLIONAIRE skills you LEARN as you EARN vs. talking about your favorite eatery is that in doing so you have the opportunity to gain residual income. For those who do not know what Residual Income is: simply put, you are able to have an additional stream of income. Who would not want to have an additional stream of income just by simply telling others what you do and they decide to join your team? All you are doing is telling someone about the opportunity to join IM Academy to learn the same skills used by Millionaires! It's up them to decide if they would like to take advantage of the opportunity or not. There are several individuals who are making 6, 7 and even 8 figures by using the skill set and/or telling someone else of this opportunity. Some of these individuals are just like you and me and some are the Educators which we do have over 100 of. They offer LIVE TRAININGS where you can ask them questions right then and there if need be. I have read some comments about how you can find this information on YouTube or other online platforms. Maybe you can, BUT it will NOT be well put together, it may not be as accurate and will you have access to Mentors including Millionaire mentors whenever you need help with something like you do with IM Academy? I've also heard people have said, if you only invest $50 into your account once you get started, it will be gone in no time. More than likely, people who make these comments did NOT attend the trainings and they did NOT use proper risk management. We have SEVERAL trainings through the week and one of the most important training is called the TRADING Plan! This plan teaches you exactly how NOT to over leverage your account. It also teaches you how much to risk for your account size, knowing this will let you know how many trades per a day you can take. If you do exactly what you are taught, your account will not go negative and you would not be posting angry comments about how IM Academy is not what it says it is. Not only do we have trainings by our peers that teach you this, but we also learn this in the Academy Education with the Educators. Simple Run Down: Have you ever opened a Bank Account and they had you filled out all these forms that had a bunch of big fancy terminology on them? Well, that fancy terminology means, you are agreeing to allow the banks to invest YOUR money for you. In turn they give you 1% or LESS within a certain amount of MONTHS or even YEARS! You see, what they are doing is investing YOUR money in the FOREX market. They basically flip YOUR funds into profit within a matter of a few days to a few MINUTES and give you the PENNIES of what they made from YOUR money. Did you know according toglassdoor.com, the national average for a FOREX Trader at a BANK makes around $92,327 a year. To most people that is a LOT of money, but what if I told you they have actually learned a skill that can allow them to make that in a MONTH or LESS? How would YOU like to learn how to do the SAME THING! This is a financially life changing skill that you can learn to possibly have a better life! You Do NOT need to have experience. You DO NOT need to talk to other people to join YOUR team. This is NOT a SCAM, it is not a GET RICH QUICK solution, but you can become wealthy if you learn and put those skills to use. ANYONE can do this! I do NOT care if you did not graduate High School, if you are a Janitorial Custodian, an Exotic Dancer or a Multi-Millionaire who is looking to gain even more income. You are NOT ALONE with IM Academy. WE are in this together! What is FOREX? It is simple the Foreign Exchange Market. It is much bigger than the Stock Market, as FOREX is worldwide and trades over $5 Trillion daily! Yes, you read that right, over $5 TRILLION daily! I think there is enough for you to get a piece of the pie. What is HFX? HFX stands for High Frequency Forex also known as Binary Options. You can buy and sell within a matter of minutes. Which means you can gain profits or lose within 1 to 30 minutes on average. YES, that's right! You do have the possibility of increasing your funds with HFX in as little as 1 minute! BUT, DISCLAIMER: We do NOT recommend you doing this type of trade on your own. With our Academy we have highly skilled Educators who will teach you THEIR technique. Yes, that's right, we have Millionaire Educators who created their own program and will teach you how to use it in order to get significant profits with HFX. What is DCX? DCX is Cryptocurrency, such as your Bitcoin, Litecoin, Ethereum, Ripple and more! Remember, the guy who purchased a home with Bitcoin several years ago? Well, today it's becoming a lot more popular. People are able to purchase several types of assets using Cryptocurrency, especially since over 10,000 retailers are now accepting Cryptocurrency as payment. Oh, did I forget to mention The Federal Reserve Bank of Boston is working with the Massachusetts Institute of Technology (MIT) to develop a "hypothetical" digital currency platform. Now, ask yourself, why would the Federal Reserve Bank "hypothetically" create a digital currency platform? Why would they "hypothetical" spend MILLIONS of dollars in creating a "hypothetical" anything? Bottom line for me is, our world has and is continuing to change. When I was a child, I only saw self driving cars, smart homes, weird types of currencies being used in movies. Look around, what do you see in real life today? I am not trying to convince you to join me and my team so that I can have residual income. I am giving you vital information to possible help secure your future. FOREX is exchanging over $5 Trillion dollars EVERY SINGLE DAY! Me, YOU, YOUR families, YOUR friends have the opportunity to get in NOW on skills that eventually everyone will have to learn at some point in their lives. You might as well do it NOW, go at your own pace, so you do NOT have to rush to figure it out later. I sure hope this answered your questions. If you have more questions or would like to know more information, PLEASE respond to me here or send me an e-mail, [email protected].
I have a rare education opportunity, but I need a little direction
TL:DR: What type of college/university classes are most geared towards market analysis/TA/proper DD/strategy/ etc. (Not online workshops, actual University caliber) Short story Long: I'm currently in medical school, and because of the variability in our training my university charges us block tuition. This opens up the opportunity to take an endless line of electives without additional charges (unlimited education hack, sponsored by JPowell). How it's presented to the medical school is that the only electives we can take are within the medical school curriculum, so no one ever gives it any thought, but I did some DD, and confirmed at every level I could think of with the university, that I can take any class university wide offered, and it will always fall under my block tuition. Obviously, I'm a med student and have the capacity to study 20 hours a day, and still find time to win/lose on TOS, so I figure if I divert the TOS time to actually learning more about the market, it'd be more win less loss, but I'm not sure exactly which types of classes would cater more to information about the market/security analysis, etc., vs just general "business stuff." I've emailed a few of the professors themselves, but they all just say that their class is what I need and I can't seem to root out the bias. I'm surrounded by med students and physicians who think the stock market is scary and have their FA take care of everything blindly, so no help there. And based solely from my work experience in the market prior to starting school, I'm the smartest person in the room in terms of the market (at least among my friends and peers outside of school) so no guidance there either. So I'm hoping you lovely people can give me some guidance. Background: I've never taken a business class in my life, I have a BS in Biochemistry, a MS in Bio-Inorganic Synthesis (Chemistry), and as mentioned above, medical school (DO- I'ma witch doctor). That being said, I also have a series 7 and 63, (both current but inactive since no more FINRA backing), and I'm pretty sure that my MLO license is still active - all this to say that I have a substantial knowledge base financially, and I've done my own DD through online searches, I was just hoping someone has an idea of a formal education that I can try to find here. Also if it matters: typically I trade options, though I started looking at the futures and Forex market too, but haven't dove in yet. Edit: while preferably not necessary to use: I do have ~20k nonessential cash on hand
What university level classes are most related to market analysis?
TL:DR: What type of college/university classes are most geared towards market analysis/TA/proper DD/strategy/ etc. (Not online workshops, actual University caliber) Short story Long: I'm currently in medical school, and because of the variability in our training my university charges us block tuition. This opens up the opportunity to take an endless line of electives without additional charges (unlimited education hack, sponsored by JPowell). How it's presented to the medical school is that the only electives we can take are within the medical school curriculum, so no one ever gives it any thought, but I did some DD, and confirmed at every level I could think of with the university, that I can take any class university wide offered, and it will always fall under my block tuition. Obviously, I'm a med student and have the capacity to study 20 hours a day, and still find time to win/lose on TOS, so I figure if I divert the TOS time to actually learning more about the market, it'd be more win less loss, but I'm not sure exactly which types of classes would cater more to information about the market/security analysis, etc., vs just general "business stuff." I've emailed a few of the professors themselves, but they all just say that their class is what I need and I can't seem to root out the bias. I'm surrounded by med students and physicians who think the stock market is scary and have their FA take care of everything blindly, so no help there. And based solely from my work experience in the market prior to starting school, I'm the smartest person in the room in terms of the market (at least among my friends and peers outside of school) so no guidance there either. So I'm hoping you lovely people can give me some guidance. Background: I've never taken a business class in my life, I have a BS in Biochemistry, a MS in Bio-Inorganic Synthesis (Chemistry), and as mentioned above, medical school (DO- I'ma witch doctor). That being said, I also have a series 7 and 63, (both current but inactive since no more FINRA backing), and I'm pretty sure that my MLO license is still active - all this to say that I have a substantial knowledge base financially, and I've done my own DD through online searches, I was just hoping someone has an idea of a formal education that I can try to find here. Also if it matters: typically I trade options, though I started looking at the futures and Forex market too, but haven't dove in yet.
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 April 15th, 2019
Hey what's happening wallstreetbets! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market last week, and are ready for the new trading week ahead. Here is everything you need to know to get you ready for the trading week beginning April 15th, 2019.
Some optimistic corporate outlooks in the week ahead could lift the stock market to a record - (Source)
It’s now up to corporate America to reveal whether the U.S. economy simply hit a soft patch this winter, as many suspect, or is on the verge of falling into an even deeper rut. Earnings from a broad swath of industries, like financials, technology, transportation and consumer products roll out in the coming week as the first-quarter earnings season gets underway. According to Refinitiv, earnings are expected to decline 2.3 percent in the first negative quarter in three years, but it is business leaders’ comments on the future outlook that are even more important. Commentary and guidance is always a big deal, but this quarter it is critical. Analysts do not agree on whether the first quarter earnings season represents the trough, or even whether the second quarter will see a gain or decline in profit growth. At the same time, economic data, like March’s jobs report, are beginning to turn more positive, and first quarter growth has quickly gone from forecasts of nearly flattish back in January to now around 2%, on the back of better March releases. The economic data has been uneven, in part because of the government shutdown, but it has yet to prove the economy is back on track. “The market has been very sensitive to data that’s been picking up. The market is reflecting that, even though there’s talk of an earnings recession. What you don’t want is an earnings recession leading to an economic recession. If companies believe there’s a major downturn in revenue growth, they stop spending and ultimately they fire people and that leads to a recession,” said Quincy Krosby, chief market strategist at Prudential Financial. The stock market is also at an important inflection point, with the major indexes closing in on all-time highs. The S&P 500 pressed through 2,900 Friday, seen as a point of psychological resistance. The S&P ended the week at 2,907, for a weekly gain of 0.5%. The next target traders are watching is the closing high 2,930 on the S&P. The all-time high was an intraday 2,940, reached on Sept. 21. Earnings season got off to a good start with J.P. Morgan Chase’s quarterly earnings report Friday. CEO Jamie Dimon was very positive, saying the U.S. economy’s expansion “could go on for years.” “If you look at the American economy, the consumer is in good shape, balance sheets are in good shape, people are going back to the workforce, companies have plenty of capital,” Dimon told analysts during a conference call. J.P. Morgan stock rose sharply, after its record profits beat analysts’ expectations. “Positive guidance, that’s what the market needs. [The S&P] could cross 2,900, but then again it could pull back,” said Krosby, but she said the momentum has been pointing higher. “The market has basically been endorsing 2,900 and beyond.” Krosby said important upcoming economic reports include Empire State and Philadelphia Fed surveys Monday and Thursday respectively, for a current look at manufacturing activity in New York and the Mid-Atlantic region. There is also industrial production and retail sales Tuesday. “Jobs data was strong. Everybody was really negative on the economy, and now we’re getting pleasant surprises,” said Marc Chandler, Bannockburn Global Forex chief market strategist. The economy added 196,000 jobs in March, bringing the monthly average to 180,000 over the past three months, even with February’s shockingly low 33,000 payrolls. Chandler said industrial production and other data should show an improved trend over last month. As stocks have shaken off growth fears, bond yields have also moved higher. The 10-year Treasury note was yielding 2.55% Friday, well above the lows of 2.34% reached on March 28.
This past week saw the following moves in the S&P:
Typical April Trading: Mid-Month Surge Stronger Second Half
Over the recent 21 years April is the top-ranked month for DJIA. April ranks #3 S&P 500, #5 for NASDAQ, #2 for Russell 1000 and #4 for Russell 2000. Average gains over the period range from a low of 1.19% by NASDAQ to a respectable 2.29% by DJIA. The first half of April used to outperform the second half, but since 1994 that has no longer been the case. In fact the second half of April is stronger over the recent 21-year period. Early April trading is usually positive for the first 4 days then flattens off until mid-month. Then the market tends to surge from the tenth to the fifteenth trading days. DJIA tends to close out the month strongest with NASDAQ closing weakest. Except for DJIA weighed down by Boeing (BA), stocks are having an above average month so far, which is quite typical in Pre-Election years where April has tended to be even stronger.
Earlier today on our Twitter account, we retweeted a chart from Bloomberg's Joe Weisenthal of inverted Jobless Claims versus the S&P 500. We have used this chart as an argument for the bullish case for the past several years. As we mentioned in a blog post this morning, Initial Jobless Claims came in earlier this week with a sizable drop off, down to 196K versus last week's revised 204K and expectations of 210K. This week's print was not only a new low for the current cycle, it is also the lowest reading since 1969. That sort of new low could be a good sign for equities. As shown in the chart below, claims and the S&P have mirrored each other since bottoming following the financial crisis. (In the chart, we have inverted claims on the right axis.) As the S&P 500 inches its way back towards all time highs, so has claims towards new lows. Additionally, with recent low prints for claims bucking what had previously appeared to be an upside trend reversal, the bullish case for the S&P 500 is growing.
The American Association of Individual Investors updated their weekly investor sentiment survey this morning and the results are very similar to the final days of February with bullish sentiment around 40%, bearish down near 20%, and neutral once again in the upper 30's. Up from 35.02% last week, bullish sentiment has crossed back over the 40% threshold; the first time it has done so since the previously mentioned week in February. While bullish sentiment is sitting a couple of points above the historical average, this is still several percentage points from reaching any sort of extreme level (more than one standard deviation above the aforementioned average). For that to happen, bullish sentiment would have to come in above 48.36%. If that occurs, then it could be a sign that investors are getting a little too optimistic.
Bearish sentiment, on the other hand, fell all the way back down to 20.38% this week, the lowest since its 20% reading on February 28th. That is around 10% less than the historical average for bearish sentiment. That is also at the lower end of the range bearish sentiment has stayed within in the past decade.
Neutral sentiment has still yet to have moved above or below the upper 30's coming in at 39.33% this week after falling from similar levels down to 36.71% last week. That is the third time in the past month that neutral sentiment has come in between 39% and 40%.
After the best first quarter for the S&P 500 Index since 1998, the big question is: What happens next? We’ve already discussed why a good start to a year could lead to more gains (here and here), but today we will take a look at another potentially positive signal. The December Low Indicator was created in the 1970s by Lucien Hooper, a former Forbes columnist and Wall Street analyst. Simply put, the indicator says that if the S&P 500 closes beneath the December low during the first quarter, it’s a warning sign for potential weakness over the balance of the year. The flipside is if it doesn’t, good times could be coming. Given the S&P 500 just went all of the first quarter without closing beneath the December 24 low, it’s worth taking a deeper dive. Sure enough, there appears to be some truth to this concept. “The December low indicator seems quite simple, but it has a tremendous track record,” explained LPL Senior Market Strategist Ryan Detrick. “When the S&P 500 stays above the December lows throughout the first quarter, the full year has been higher an incredible 34 out of the last 34 times, which bodes well for 2019.” In fact, this warning even worked last year, as it triggered in the first quarter of 2018 and eventually played out during the big fourth quarter sell-off. As our LPL Chart of the Day shows, when the S&P 500 stays above the December lows in the first quarter, the full year does quite well.
([CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
Thursday 4.18.19 After Market Close:
([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
Friday 4.19.19 Before Market Open:
([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF GOOD FRIDAY).
Friday 4.19.19 After Market Close:
([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF GOOD FRIDAY).
Netflix, Inc. $351.14
Netflix, Inc. (NFLX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.57 per share on revenue of $4.49 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat The company's guidance was for earnings of approximately $0.56 per share. Consensus estimates are for earnings to decline year-over-year by 10.94% with revenue increasing by 21.32%. Short interest has increased by 10.5% since the company's last earnings release while the stock has drifted lower by 0.2% from its open following the earnings release to be 4.2% above its 200 day moving average of $336.83. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 7,925 contracts of the $400.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 4.3% move on earnings and the stock has averaged a 5.9% move in recent quarters.
Bank of America Corp. (BAC) is confirmed to report earnings at approximately 6:45 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.65 per share on revenue of $23.29 billion and the Earnings Whisper ® number is $0.67 per share. Investor sentiment going into the company's earnings release has 69% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.84% with revenue decreasing by 14.11%. Short interest has decreased by 25.1% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 5.3% above its 200 day moving average of $28.66. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, April 9, 2019 there was some notable buying of 32,141 contracts of the $27.00 put and 32,059 contracts of the $32.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.6% move in recent quarters.
Citigroup, Inc. (C) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $1.78 per share on revenue of $18.71 billion and the Earnings Whisper ® number is $1.84 per share. Investor sentiment going into the company's earnings release has 58% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 5.95% with revenue decreasing by 22.15%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 3.2% above its 200 day moving average of $65.31. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, March 29, 2019 there was some notable buying of 17,657 contracts of the $59.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.3% move on earnings and the stock has averaged a 2.3% move in recent quarters.
Goldman Sachs Group, Inc. (GS) is confirmed to report earnings at approximately 7:40 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $4.74 per share on revenue of $8.97 billion and the Earnings Whisper ® number is $5.21 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 31.80% with revenue decreasing by 10.62%. Short interest has increased by 9.7% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 0.1% below its 200 day moving average of $208.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 6,817 contracts of the $220.00 call and 5,555 contracts of the $195.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.7% move on earnings and the stock has averaged a 3.1% move in recent quarters.
UnitedHealth Group, Inc. (UNH) is confirmed to report earnings at approximately 5:55 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $3.59 per share on revenue of $59.66 billion and the Earnings Whisper ® number is $3.66 per share. Investor sentiment going into the company's earnings release has 72% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 18.09% with revenue increasing by 8.10%. Short interest has decreased by 1.1% since the company's last earnings release while the stock has drifted lower by 10.7% from its open following the earnings release to be 13.4% below its 200 day moving average of $257.63. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 4,190 contracts of the $227.50 call and 3,732 contracts of the $227.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.0% move on earnings and the stock has averaged a 3.6% move in recent quarters.
Johnson & Johnson (JNJ) is confirmed to report earnings at approximately 6:40 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $2.03 per share on revenue of $19.63 billion and the Earnings Whisper ® number is $2.06 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.46% with revenue decreasing by 1.89%. Short interest has decreased by 22.0% since the company's last earnings release while the stock has drifted higher by 6.1% from its open following the earnings release to be 1.0% above its 200 day moving average of $134.65. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, April 8, 2019 there was some notable buying of 1,510 contracts of the $170.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 1.9% move on earnings and the stock has averaged a 2.6% move in recent quarters.
Aphria Inc. (APHA) is confirmed to report earnings at approximately 7:05 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.04 per share on revenue of $41.11 million. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Short interest has decreased by 26.9% since the company's last earnings release while the stock has drifted higher by 57.1% from its open following the earnings release. On Thursday, April 11, 2019 there was some notable buying of 1,595 contracts of the $9.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 6.9% move on earnings and the stock has averaged a 5.2% move in recent quarters.
ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $14.84 million. Investor sentiment going into the company's earnings release has 59% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 11.11% with revenue increasing by 88.16%. Short interest has decreased by 14.8% since the company's last earnings release while the stock has drifted lower by 34.8% from its open following the earnings release to be 54.0% below its 200 day moving average of $2.61. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 27.8% move on earnings in recent quarters.
Charles Schwab Corp. (SCHW) is confirmed to report earnings at approximately 8:45 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $0.66 per share on revenue of $2.70 billion and the Earnings Whisper ® number is $0.68 per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 20.00% with revenue increasing by 12.59%. Short interest has decreased by 5.4% since the company's last earnings release while the stock has drifted lower by 0.7% from its open following the earnings release to be 3.8% below its 200 day moving average of $47.14. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, April 10, 2019 there was some notable buying of 3,000 contracts of the $43.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.
M&T Bank Corp (MTB) is confirmed to report earnings at approximately 6:35 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $3.29 per share on revenue of $1.50 billion and the Earnings Whisper ® number is $3.35 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 11.90% with revenue decreasing by 2.65%. Short interest has decreased by 2.4% since the company's last earnings release while the stock has drifted higher by 5.6% from its open following the earnings release to be 1.6% above its 200 day moving average of $165.09. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 841 contracts of the $165.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.3% move on earnings and the stock has averaged a 3.0% move in recent quarters.
Some of the NEX team went through the questions asked a couple of days ago, but due to the answers being posted sporadically, i thought it might be better collating answers and reposting for visibility! I highly recommend reading through if you are interested in NEX! NEX team marked as U = u/Unignorant, C = u/Canesin, L = u/Localalhost_coz Original post here Q: What is the NEX marketing plan to grow in terms of a customer base ? And how far is the team away from a finished product? During most of the interviews I noticed the team reference comparison to Binance, how does the interface match binance in a decentralized environment? (u/sheldonbraganza) (U)We will have a complete product out on TestNet in Q2, and a fully working cross-chain exchange on the NEO and Ethereum networks in Q3. NEX is marketing to two primary groups of users: (1) Mainstream users who want an easier experience buying altcoins with cryptocurrency. Through our network of banking partners, we will make it easy for anyone in the world to buy tokens on NEO, ETH (and eventually other chains) using their national currencies. (2) Bots and traders: we aim to have best-in-class trading APIs for high performance, computational trading. We will have better and faster APIs than today's centralized exchanges, with the added benefit of these systems running on decentralized networks The point of our off-chain matching engine tech is to enable the same (or better!) usability as an exchange like Binance, while keeping around the decentralized model. The off-chain engine makes trading just as performant as today's centralized exchanges, and makes it much easier to support the kind of cross-chain trading functionality that has long been a pipe dream for decentralized exchanges. We are very much inspired by other exchanges like Coinbase in this regard, and we will be the first DEX to achieve this. (C) Just to remember that NEX is also going after costumers that usually are not considered by other exchanges with its features to facilitate peer to peer payments requests, invoicing and tipping/gifts. Q:Can you elaborate on NEX staking? The whitepaper was fuzzy about it and had terms like "staking percentage". (u/r3dh4r7) (U) The NEX staking rate will be from 25-75%. Committing to stake for one day gives a rate of 25%, which increases linearly to a rate of 75% if you are willing to stake for 2 years By staking rate, we mean the percentage of revenue you will get from NEX fee collection proportional to the tokens you hold. For example, if you hold 10% of all NEX tokens and are staking at a rate of 75%, then you will receive .10 * .75 = 7.5% of all fee revenue generated by NEX over that period. We will confirm these details in an updated white paper release coming out today or tomorrow. ~ If you commit for two years, the first year will still be at 75%. Q:How soon do you introduce Fiat pairs? (u/coinonymous1) (U) Our network of banking partners will begin to go live in Q2. That means users will be able to enter the ecosystem with national currencies through the NEX extension and web-based exchange interface. (C) To clarify, this are not direct trading pairs on the exchange itself (i.e. JPY/NEX) but a easy method to on ramp and cashout using the tools. Users will be able to acquire NEO and GAS with fiat and any other tokens traded at NEX will be using the exchange itself. Q: The chrome extension is great but why should I still rely on desktop to access NEX interface ? When can we expect Iphone/ Android App? (u/cryptobuddy_1712) (U) We are planning native android/iOS apps. Depending on how fast we can grow, they may be out by Q3. (C) Mobile presence is a complex topic, depending of how much of the full experience you want to provide - that will depend on the support shown by 3rd party wallets, if they adopt NEX APIs. Q: Will you guys be supporting Ledger integration any time soon? Nex chrome add-on, Nex exchange integration...?! Plans to list the Nex token on other exchanges before the release of your own? What are the plans to continue supporting Neon wallet now that Nex came out with their extension for chrome? Will Nex exchange introduce fiat deposits/withdrawals? (u/mihai_ss) (U) Yes, ledger is on the roadmap. We cannot comment on other exchange listings right now. We love and will continue to support Neon wallet (you are speaking to its creator :) as a great desktop wallet and complementary partner to our extension. NEX will support national currencies in/out of the exchange through our network of banking partners. (C) Not only ledger but hardware wallets in general. Ledger is priority currently given that it is quite popular in NEO. We have to have in mind that NEX is trying to do a lot of different things to make usage easier to new users (that probably don't have a ledger!), there is currently about 96k users of it (more than this sub) so we will focus on fixing the corner cases and issues that appears frequently with such large user base first. Q:More and more people are using mobile apps for trading. Don't you think nex should also have its own iOS and Android app. Are the API being developed future proof to integrate with mobile apps for trading and seeing candle charts. (u/Cryptobanku) (U) We agree with the power for mobile, and future proofing the API is 100% on our mind. Longer term, we are planning native iOS/android apps. Q:So NEX is a security right? What does that mean exactly? The Token only will be available on the neon exchange? In order to get the exchange dividends are we gonna be forced to put our tokens on stake mode? If so, once we put our tokens on stake mode does that mean we are not gonna be able to move them or sell them for a specific period of time? (u/sersimovi) (U) NEX is a registered European security. It will be traded on NEX exchange, but that is not the only place it will be traded (I cannot say more than that right now). Being a registered security is amazing for investors. It means that all of the sketchy things that so often happen with cryprocurrencies/tokens (things like market manipulation or insider trading) are made explicitly illegal. It also means that we, as a company, go through an extensive audit. For that, we have partnered with the top tier accounting firm Ernst and Young. The staking model means that you commit to staking your NEX for a certain amount of time to receive a share of fee revenue. The minimum amount of time you can stake NEX is one day. The maximum time you can stake is two years. While staked, you cannot move or sell the NEX tokens. (C) All that plus the investor don't need to fear it will crash because someone classified it as a security in the future. Q:When will the official sale date be announced and when will the official tokens per neo be determined? (u/rborsb9) (L) We are still working with our legal partners to determine a final sale date, but it will be sometime at the end of April. The tokens per Neo/Gas will be determined from the 10 day moving average of the price before the sale begins. Q:What do you think sets NEX apart from the countless other DEXs that are starting up right now? Why should people invest in NEX vs Switcheo/Etherdelta/Binance(once they release)? (U) NEX will be the first usable, performant, and cross-chain DEX. Out of all the exchanges you mentioned, none of them are using an off-chain matching engine, which quite simply means none of them can do what we are doing. In addition to that, NEX has by far the most generous revenue share model of any exchange you have mentioned. This is because we are embracing being a security (not hiding behind some questionably legal utility token). The people who invest in us will be treated very well by this model. As for competitors: Switcheo unfortunately doesn't work. There is no volume, and the SC is broken (or at least didn't work when I tried it; the transaction failed and it stole the small amount of GAS I tried to trade). Etherdelta has higher volume but still ridiculously low overall. And again, just try to use Etherdelta... it is a usability disaster. There is really no comparison here. Binance might do something interesting, if they decide to do anything. But we have better technical talent than Binance, so I am not too worried. Q:What % volume neon exchange will support compared with top centralized exchanges? Thanks big neo fan! (u/myfriendbaubau) (U) We will support just as much volume as today's centralized exchanges. Q: Will NEX have a stable coin? (u/masi252) (U) We have looked into various implementations and ideas surrounding stable coins and have determined that it is not something we are planning on doing in the near future. Cont: What about when Alchemint releases? (u/Bing0to) (C) We wanted to do a fundamental strong stable coin that was capital efficient. Unfortunately there is some pre-requisites for that to be possible that currently is lacking in crypto markets. We will continue to monitor how this space evolves and our ideas are stored waiting the future when they can be applied. Q:Can we expect the erc20 token trading earlier than q3? (u/markerizza) (U) Q3 is the current roadmap projection. It is possible it will happen earlier depending on our growth. Q: Will the token sale be via smart contract, so that we recieve our tokens right away? (u/Ebrii) (U) Yes Q: will you guys have an official subreddit and telegram anytime soon? (u/markerizza) (U) No, we dislike the idea of project oriented telegrams. There are too many opportunities for scammers. We may have a subreddit in the future, but not anytime soon. Q: What is the plan to get liquidity on the platform? It seems to be the biggest problem with current DEXs. (u/Mutedtommy) (U) We have strategic partnerships for this. We are also working with other partners to develop some nice APIs for high performance trading. Q: On the site you say that the ORIGINAL winners can participate in the second round (9000$) options, do you mean only the first round lottery winners or the first and second round winners combined? (u/FrancoisFrancis) (U) Any lottery winners (whether first or second draw) have the opportunity to participate in both rounds 1 and 2. Please see this medium post for clarification: https://medium.com/neon-exchange/nex-extension-and-lottery-q-a-667e56f58e4a Q: If you chose to participate in round 2 from the KYC process, does that mean you are guaranteed a spot? The medium article seems to indicate there will be an additional lottery from those who selected that option to see who from round one is eligible for round 2. (u/DwyerMatt) No one is guaranteed a spot in round 2. It is even possible (though extremely unlikely) that all NEX is sold out in round one. This would happen if everyone who is selected goes through KYC and participates at 100%. (U) Q: Will NEX tokens only be tradeable on NEX or is there a chance of it being listed on other exchanges like Binance? (u/Frank_Sinatra88) (U) See an answer above. Not just NEX, but I can't say more than that right now. Q: How do you see NEO compare to other coins on its network ? Like another coin could be valued more than NEO itself ? And will NEX always be bound to NEO? (u/BN_Boi) (U) It is unlikely but possible that a NEP5 token could eventually achieve a higher marketcap than NEO itself. NEX is not bound to NEO much at all. Our token will live as a NEP5 on NEO, and that is how users will receive staking rewards, but we will support trading very early on Ethereum as well. (C) Google runs atop of other companies infrastructure (telecom providers), but it is valued more than all of them. The same thing can (and probably will) happen in token land, it will just take a while - when infrastructure becomes less important than applications and platforms atop of it. Like with the internet. NEX behind the scenes (as the DEX is cross-chain from start) is using NEO capabilities, but the future of both is broad and uncertain. As a long term strategy the NEX company will do what it can to improve its underling technology and remove risk from its business. Q: Is there a vesting period for the half of available NEX tokens that will not be sold during the ICO? (u/ETHERjimbo) (U) The founder and employee tokens (25%) will vest over two years. Q: Whitepaper uses an example $100m in the fee distribution calculation. If NEX is truly a security token and the whitepaper is your prospectus then you must provide further data on fwd looking statements. The NEX token gives the right to fee distribution. Given this you must provide assumption based forecasts on expedited fees over the next 3 years. This will support price discovery. How can the market properly price the token when fee expectations are unknown.(u/nsheahan82) (C) Fee structure is defined on whitepaper and version v1.1 contains a example section as stated. Version v2.0 (to be released very soon) contains the actual staking portion (25% to 75% linear over two years growth on staking). Guess work on the volume would in reality be very indigenous, look at volume behavior market wise (https://coinmarketcap.com/currencies/bitcoin/#charts) so much variation. Following the 3 years trend we could say trading volume will be bigger than the world economy, clearly that is not happening. Q: Would NEX Staking be a 50% or 75% as stated on the whitepaper? (u/GMDaddy) (C)See answer above, it starts at 25% and goes up to 75%. The increase is linear and maximum period is 2 years. Cont: By linear, you mean like as an option where the user has the choice on picking whether to stake it from 25% up into 75%? (C)No, when you start staking it starts at 25% and by linear I mean it increases at a constant rate of about 2.08% per month for two years until it reach 75%. (U)To clarify fabio's comment: yes, you can choose a fixed rate of 75% by committing to stake for two years. Q: A massive attraction to NEX is the prospect of decentralised banking. What makes decentralised banking better than traditional banking? (u/kabelofthe3rd) (C)Our goal is to facilitate crypto trading at large, this touches from usage of applications to investing passing by funds management and invoicing solutions. What this enables is a digital cashless economy, we call it the smart economy. In the smart economy users are in control of their funds using this advanced technological tools to perform the tasks above and current banking solutions are no longer needed.
Q: Once NEX is rolled out, what will be the easiest way for US residents to buy some stake? I'm aware it's going to be issued as a security so I'm thinking the NEX token will only be tradable on NEX itself because most non decentralized exchanges will not list security's or tokens that don't pass the Howet Test. Is this correct?(u/Cozmo525)
(C)You are correct, for US persons you will need to wait other licensed exchanges list NEX or we acquire the proper licenses to allow US people to trade securities. Whatever happens first =) Q: Can I stake only NEX or also other Token f.e. NEO? (u/masi252) (C) NEO doesn't need to be staked, you already can claim GAS on NEX extension. Q: How do you plan to compete with Switcheo when they have first movers advantage and will be live for months before your platform will be? (u/toneeey1) (C)We plan to compete with anyone in our market by providing better products. Q: Will TNC be utilized? (u/molly1nora) (C)That is not planned, NEX has it own custom scaling solutions already in development. Q: Do you see exchanges not listing NEX, due to the fact that you guys are direct competition? (u/detnah) (C)That is a tricky question, I believe competition will not be with every exchange - in special centralized ones, as CEX they will more focused in national markets and we are going after broad chain level trade. Q: Is there a chance in the future you will also introduce other coins to the exchange sich as ERC-20 tokens etc? If so you'd blow all competition out the water. (u/Frank_Sinatra88) (C)Yes, ERC-20 tokens will be supported by Q3 together with NEP-5. Q: Will NEX APIs support mobile Dapps or Wallets? (u/johndon96) (C)Both, APIs are in general not target to a specific application, is up to the developers to use it in their products. Q: What are the team's plans to make NEX the best decentralized exchange and one of the best projects ever released? (u/its_me_TAG) (C)We will be working close to our costumers, never afraid of breaking status quo and never ending improvements. NEX will never be done. Q: Are there any plans to open up some Nex-Stores in several spots around the Globe? (u/michaeluebelhart) (C)No, but will have a online swag store :D Q: Is it possible that in the long future to have forex pairs listed on NEX? (u/BR8889) (C)In a future where fiat has token representations or stable coins are indeed stable. Q: When will we see the updated Whitepaper? (I know for example that you plan to integrate ERC20 tokens earlier than mentioned in the original Whitepaper) (u/mambor) (C) Target is this weekend. We could delay if redacting detects things that should be changed/improved. Q: What is your go-to-market strategy? (u/Dux_AMS) (C) We already have >100k users. ;)
印网友评论：印度归国学子：印度可以从中国学到的经验 ZT by 学姐的头 on 2014-04-08
-------------译者：观棋柯烂-审核者：chen_lt------------ kshay Kumar, 25, knew his journey would be tough. But he thought he was prepared. Kshay Kumar, 25岁，他知道自己的旅途会很艰难，但他认为他已经做好了准备。 In 2012, after an engineering degree and a oneyear stint with a multinational, Kumar felt he needed a makeover. "I didn't want to be stuck with civil engineering all my life. I also wanted to see the world and explore new options," he recalls. Doing an MBA from a premier institute was on his mind. 2012年，在取得工程学位并为跨国公司服务了一年后，Kumar觉得他需要一个转变。“我不想被土木工程套牢一生。我也想看看这个世界，探索一下新的机会，”他回忆道。在一个高等学院读MBA的想法浮现在他的脑海里。 He did think of the Indian Institutes of Management (IIMs) and the Xavier School of Management, but the desire for global exposure pushed him to explore options overseas. Kumar settled for a oneyear post-graduate course at the Imperial University in the UK, which he financed via an education loan. "Visa rules and the bleak job market there did weigh on my mind. But I had a feeling I could manage it," he says. He had confidence in Imperial's good global ranking, its alumni network and his own hard work. 他也考虑过印度管理学院（IIM）和泽维尔管理学院，但是对于全球视野的渴望促使他探索海外的机会。Kumar接受了位于英国的帝国大学的一年期研究生课程，其资金来源为助学贷款。“英国的签证规则和惨淡的就业市场确实在我脑海中权衡过，但我有一种感觉，我一定能够应付得过来，”他说。因为帝国大学在全球的优秀排名、其校友关系网以及他自己的努力，他充满信心。 Kumar began his hunt for a job virtually from the day he landed in the UK. He studied hard to get good grades but worked even harder to find a good job. By tapping into networks of his alumni, friends and family, Kumar reckons he would have reached out to over 200 firms during that year. "It didn't work. My good grades made me eligible for plenty of jobs, but my non-European Indian passport was the problem," he shrugs. Kumar一来英国就开始寻找工作。他努力学习以取得好成绩，但更努力去寻找一份好工作。通过发掘他的校友、朋友和家庭的关系，Kumar估计在那年他接触了超过200家企业。“这没有用。我的好成绩让我满足了许多岗位的条件，但我非欧洲的印度护照是个问题，”他耸了耸肩。 Kumar moved back to India late last year and has just landed a job with a private equity firm. "All my plans have been delayed by five years," he says. Close to half his salary today goes in paying monthly instalments on his education loan. Kumar去年底回到了印度，在一家私人股权公司工作。“我的所有计划都被推迟了五年，”他说。他每月要用现在将近一半的薪水来偿还助学贷款。 -------------译者：图特腾-审核者：chen_lt------------
The World isn't Flat 世界不是平的 The West has a problem. Its economy is in a funk, not enough jobs are being created, cautious companies aren't hiring too many, and worried governments — from the US to the UK — are raising visa barriers for foreigners to work in their countries. 西方已经出现问题。它的经济陷入一片混乱，不能创造足够多的职位，谨慎的公司不会聘用过多的职员，焦虑不安的各国政府——从美国到英国——正在增加签证壁垒以阻止外国人在他们的国家工作。 Young Indians, who went overseas for education, are facing a tough time finding a job. Many like Kumar have returned home. And some are now casting the net wider — looking for jobs from the US to Hong Kong and Singapore — or settling for sub-optimal options. Rupa Chanda, professor, IIM-Bangalore, who has worked on reports on international student mobility, says visa and immigration is the biggest factor affecting Indian students' decisions. 海外求学的年轻印度人正在面临找工作的艰难时期。像Kumar一样，许多人已经回家。他们中一些人正在通过更大范围的求职网——从英国到香港、新加坡来寻找工作；或者妥协于较次的选择。印度管理学院（IIM）班加罗尔分校的Rupa Chanda教授曾在研究国际学生流动性的报告中指出，签证和移民政策是影响印度学生做出决定的最大因素。 The US, the UK and Australia — the three most popular destinations for Indians seeking global education — have seen the number of Indian students come down over the past few years (see Out of Favour?). Remember, many Indian students take hefty education loans to finance their studies abroad. While many would find decent jobs back in India that would not help much as these students need dollar salaries to comfortably service their loan. This is taking its toll. "Overseas education is costly. Many Indian students are doing a cost-benefit analysis to figure how to recoup their investments overseas and putting off their plans ," explains New York-based Rahul Choudaha, chief knowledge officer, World Education Services (WES), a non-profit organization that provides credential evaluations for international students planning to study or work in the US and Canada. 美国、英国、澳大利亚，印度人寻求全球教育的最火的三大目的地，已经发现印度学生数量在过去几年持续下降（或者三大目的地已经不受青睐？）。记住，许多印度学生都背负着高额的教育贷款来资助他们的海外求学。虽然回到印度他们都能找到体面的工作，但是这些都没有太大的帮助，因为学生们需要一份用美元支付的薪水来帮助他们更轻松的偿还贷款。这就是造成的影响。“海外教育非常昂贵，许多印度学生都正在进行成本效益分析，以找出如何收回其海外投资，推迟他们（去海外就读）的计划，” 坐落于纽约的世界教育服务中心的知识总监Rahul Choudaha解释道。 这一非营利性组织为准备在美国和加拿大学习或工作的国际学生提供认证评估。 But to be fully able to understand how this trend will play out, one must understand the backdrop. A big generational shift is taking place among the students looking for overseas education. Many of them now are India's liberalization children, who have grown up post-1991 and lived in an increasingly global world with fewer barriers. 但是要完全理解这种趋势是如何产生的，就必须要了解其背景。一个大的世代转变正发生在寻求海外教育的学生中间。如今的他们许多都是印度自由的一代，成长在1991年后，生活在障碍更少的全球化的今天。 So in many ways this is their first brush with a world with barriers. Many are also children of globetrotting well-paid senior corporate executives who think differently about education, exposure and investing in a world-class education. "These parents understand the long-term rewards of a world-class education. I see many of my friends taking their children to these top campuses after they pass out from school to give them a first-hand feel," says Hema Ravichandar, strategic HR expert and a former HR head of Infosys. 所以从许多方面来说，这是他们第一次面对来自世界的阻碍。他们中也有许多是环游世界的、对教育、经历以及投资世界级教育有着不同看法的高薪企业的高管们的小孩。 “这些父母明白世界一流教育的长期回报。我看到我的许多朋友带着他们的小孩去顶尖的校园，让小孩们领略这些高等学府给他们的切身感受，”战略人力资源管理专家、Infosys 公司前人力资源主管 Hema Ravichandar说道。 -------------译者：dragonilove-审核者：chen_lt-----------
Woes on Foreign Shores 身处海外的痛苦 Both of Ravichandar's children have studied overseas. Her daughter, Aditi, is doing her MBA from Wharton in the US and her son Nikhil, 22, completed his Bachelor's in economics from Warwick in the UK. Nikhil chose the UK over India because of the flexibility available in picking courses — he wanted to do economics with law which was impossible in India with its rigid course structures. "Education in India is not very research-driven and multicultural," he adds. Ravichandar'的两个孩子都已经在国外留学。她的女儿，Aditi正在美国的沃顿商学院读MBA而她22岁的儿子Nikhil已经在英国的华威大学完成了经济本科学习。Nikhil之所以选择英国而非印度是因为英国大学在课程选择上有更大的灵活性——他既想要修经济学又想要修法律，而这在具有严格课程结构的印度大学是不可能的。他还说，“在印度的教育并不是由研究来驱使的，也不够文化多元性”。 But during his stay there, the UK revoked the two-year work permit for foreign graduates. Thus he needed a firm job offer to stay on after graduation. This was difficult since he was particular about the kind of work. "I wanted a job in economic consulting," he says. Unable to get that he preferred to do a postgraduate programme instead. While he did not take any loan, for many of his classmates, who had taken a hefty education loan, things were difficult. 但是就当他在英国学习时，英国取消了留学生毕业后的两年工作签证，因此Nikhil需要一份工作从而能够在毕业后留在英国。由于他对工作的特殊要求这显得有些困难“我想要一份有关经济咨询的工作”Nikhil说。若不能获得这样的工作，Nikhil宁愿继续读研究生。由于Nikhil没有像他的同学那样申请沉重的助学贷款，事情开始变得困难了。 Now, Nikhil is back in India getting some interesting exposure at a few start-ups in Bangalore, India's Silicon Valley. He is contemplating a startup of his own. "This is the best time to take the risk and explore it," he says. 现在 Nikhil 已经回到了印度并且在印度的硅谷，班加罗尔与一些新兴企业进行了接触。他正在考虑自己创办一个公司。“这是最好的冒险和探索的时候”他说。 Across the Atlantic, Sujoyini Mandal, in her 20s, offers another peek into the odds that Indian students face overseas. After her graduation from Jadavpur University, Mandal went to Singapore for her postgrad and worked with a think-tank there. Life was good but since she had always yearned for a degree from a world-class university, she applied for a Master's at Harvard's Kennedy School. 穿越过大西洋，20岁的Sujoyini Mandal展现了印度学生在海外遭遇的另一面。在她从贾达普大学毕业之后，Mandal去新加坡念了研究生并且在一个智囊团工作。生活过得很惬意，但是由于她希望获得世界一流大学的学位，她申请了哈佛肯尼迪政治学院。 For two years, she deferred her admission as she did not get any financial aid. She saved some money and, with a bit of aid, finally took the plunge in 2011. Foreign students in her college face an education loan cap of $30,000 ($15,000 a year), she says, making things even more difficult Mandal started looking for a job when she graduated in May 2013. But mandates that fitted her needs and aspirations were not easy to come by. She did land a contract with the World Bank but that was short term, uncertain and had no medical cover. Last month Mandal finally landed a job with an investment bank. 两年来，由于Mandal没有获得任何经济援助，她一直在延迟入学时间。在存了一些钱并且一些援助之后她最终在2011年入学了。Mandal说，她所在学院的留学生面临30000美元（15000美元每年）的贷款限额，这使得情况变得更加困难。Mandal在2013年5月毕业后开始寻找工作。但是适合她的需求和期望的职位并不那么容易获得。她确实已经和世界银行签订了合约，但是那是短期的，有不确定性，也没有医疗保险。最终在上个月Mandal在一家投资银行找到了一份工作。 Despite such struggles, there are many reasons why the pursuit of overseas education among young Indians is unlikely to die down any time soon. 尽管面临这么多挣扎，但仍然有很多其他原因让印度学生想去海外留学，短期内这种趋势是不会消失的。 -------------译者：长太息兮-审核者：chen_lt------------
The Demographic Bulge 人口膨胀 Every year, around 800,000 Indian students reportedly go overseas for their education. This costs the country close to $15 billion of forex annually, estimates industry lobby Assocham. If students are going overseas for education, it's because India has a problem of both capacity and quality. The country has one of the world's largest education infrastructures: 600 universities and 34,000 colleges with 17 million students enrolled and 5 million students graduating every year. But India is also witnessing a demographic bulge — it has perhaps the world's largest young population. Experts estimate that some 100-million-odd students will seek higher education over the next decade. 据报道,每年大约有800000名印度学生出国留学,，据印度工商业联合会估计这将耗费每年近150亿美元的外汇。学生们出国留学是因为印度不管是在教育容量还是教育质量上都有问题。印度的教育基础设施是世界上最大的教育设施之一，600所大学和34,000学院每年接受1700多万新生并输出500多万毕业生，但是我们也正见证着印度人口的爆炸性增长，印度或许有着世界上最庞大的年轻人群，专家估计在未来十年里，将有一亿多的学生寻求更高的教育。The capacity problem is compounded by the quality issue. About 70% of the capacity in India is of poor standards. At the other end of the spectrum, competitive intensity at the premier colleges is so stiff that it is often easier for bright students to get admission in Ivy League colleges in the US and the UK than in the IITs, IIMs and even top colleges in Delhi University. 教育能力和教育质量上的问题是相互关联的。大约70%的印度教育处较低的水准，而另一方面，印度一流学院的竞争激烈且死板，以至于对聪明的学生来说，进入美国或英国的常春藤大学要比进入印度理工学院、印度管理学院、甚至德里大学里好的学院都容易得多。 All this coincides with the rise of India's aspirational upper middle class. Over the past two decades, many first-generation Indians have risen up the corporate hierarchy and are financially well-off. These welltravelled, financially stable corporate executives desire the best for their children. "They are looking for the best educational experience. They know it is a life-long asset. Indian premier colleges do not have the capacity and are very rigid," says TV Mohandas Pai, chairman, Manipal Global Education. Pai's son studied at Stanford University in the US and now works for a start-up in Silicon Valley. 这些现象与印度上层中产阶级不断上涨的雄心壮志密切相关。在过去的二十几年里，许多第一代移民创立了自己的事业，相当富裕。这些经济稳定，见多识广的公司高管希望把最好的东西给予他们的子女。Manipal全球教育主席 Mohandas Pai说他们在为孩子寻找一流的教育，这是孩子一生的财富，印度的一流大学不能给予这些而且这些大学要求过于死板。他的孩子曾在美国斯坦福大学学习，现在在硅谷工作。 This aligns well with the global trend of rising international mobility of students. According to Institute of International Education (IIE), since 2000, the number of students leaving home in pursuit of higher education has increased by 65%, totalling about 4.3 million students globally. What is more interesting is that the share of students from the developing countries in this pie is rising — it moved up from 54.8% to 69% between 1999 and 2009. 这个现象与世界范围内学生国际间流动增强的趋势是一致的。IIE的研究表明，自2000年以来，学生为了获得更高的教育出国的数量增加了65%。全球总计约430万。更有趣的现象是发展中国家的学生所占的份额正在增加---1999年到2009年间从54.8%增加到69%. -------------译者：*河蟹*员-审核者：chen_lt------------
India vs China 印度对比中国 Not surprisingly, the world's two most populous and powerful emerging countries — China and India — send the largest number of students overseas. But China has rapidly shifted gears to overtake India. 让人毫不惊讶的是，作为世界上人口最多、经济发展最快速的这两个国家向海外派遣了最多数量的留学生。但这方面中国很快就超越了印度。 Consider what's taking place in the US. In 2000-01, India topped the list of international students by country, with 66,836 against China's 63,211. But by 2009-10 China had overtaken India. In 2012-13, China sent 236,000 students; India was nudging the 97,000 mark. While the number of Chinese students has been growing in double digits of late, that of Indian students has been sliding. To understand why that is happening, it is important to analyze the profile of students going overseas from both the countries. 2000-2001年，美国的外国留学生中印度学生是最多的，66836人，而中国学生为63211人。但是在2009-2010年时，中国超越了印度。2012-2013年，中国向美国派遣的留学生 已经达到236000人；而印度才逼近97000人。近来，中国留学生人数呈两位数增长，而印度方面则一直在下降。要想了解这其中的缘由，就有必要分析一下两个国家的留学生的一些基本情况。 Chinese students going to the US are evenly split between undergraduate (40%) and postgraduate programmes (44%). But Indian students are heavily skewed towards postgraduate programmes (55%) with just 13% at the undergraduate level. Indian students are also unique as over 60% are in the STEM (science, technology, engineering, maths) category. Bear in mind that historically, postgraduate and STEM programmes offer more financial support than undergraduate and non-STEM programmes. 中国留学生去主要去美国接受本科教育项目（40%）和研究生教育项目（44%），比较均衡。而印度学生去美国主要接受研究生教育（55%），本科教育只占13%。60%的印度留学生学的是理工科。从历史上来说，研究生以及理工科教育项目比起本科教育项目和非理工科教育项目在资金上会给留学生提供更多的帮助。 "The decline in Indian students is directly related to the 'Strivers' , who have been putting their plans on hold due to increasing cost of studying abroad which in turn was triggered by economic uncertainty and currency devaluation," says Choudaha. “印度留学生的下降与”奋勉族“群体相关（根据全球教育服务处的研究，指的是资源少的发奋者），这个群体由于海外留学费用的增加导致他们搁置了自己的留学计划，而经济不稳定以及货币贬值引发了海外留学成本的提高，”Choudaha说。 A majority of Indian students arrives at the Master's level and funds education by taking loans as financial aid from colleges has dried up. So, while the majority of Indian students go for education loans, Chinese students are supported by their families. According to a research by WES, 47% of Indian respondents report loans as one of the primary sources of funding as compared with only 3% of Chinese. 大部分的印度海外留学生取得了硕士文凭，但由于学校助学金的萎缩，他们不得不通过贷款来完成学业。所以大部分印度学生是通过贷款来完成学业的，而中国留学生则靠父母支持。根据全球教育服务处的一项研究，47%的印度回馈者说贷款是他们完成学业的主要手段之一，而这么说的中国学生只占3%。 Chinese students, in contrast, are "explorers" (experience seekers), says Choudaha. Often the only-child of financially well-off parents, they have the financial wherewithal to study abroad and are under less pressure to find a job there. But change may be afoot. Some Indian students could make the transition from 'strivers' to 'explorers' and Choudaha expects more and more Indian students — most of them children of well-off senior executives — to go overseas at the undergraduate level. Not so dependent on financial aid, he also sees many more Indians exploring new interdisciplinary fields, beyond STEM. Even in the STEM category, experts feel that Indian students will be the biggest beneficiary as the Obama government eases rules for this critical segment in future. 对比来说，中国学生是“探险族”（追求体验一族），Choudaha如是说。通常是富裕家庭的独生子女，所以留学的钱不用愁，也没有太大的压力去找工作。但情况可能会有所改变，一些印度学生有可能从“奋勉族”向“探险族”转变，Choudaha预测说将有越来越多大多来自印度富裕家庭的学生到海外接受本科教育。他们不会太依靠助学金。他还说越来越多印度学生除了理工科外还涉及了新的跨学科教育领域。即使是在理工科类别中，专家们认为随着奥巴马在未来放宽这个类别的规定，印度学生将成为最大的受益者。 -------------译者：thekstyy-审核者：chen_lt------------ Lessons from China 中国榜样 Two decades back, China faced problems similar to those India faces today — its higher education had both capacity and quality issues. Since then China has worked hard to upgrade its educational institutions. It has two programmes — Project 211 and Project 985. The former aims to make 100 Chinese universities world class in the 21st century; this will help China churn out world-class trained professionals to push economic growth. These universities are expected to set national standards for education quality that can be replicated by others. 二十年前，中国面对的问题如同今日印度面对的问题——高等教育在质和量上的不足。从那时起中国努力升级发展他们的教育机构，其中包涵了211工程和985工程。前者旨在创造21世纪的世界级名牌大学，这会快速培养出大批的专业人才，有效推动其经济发展。这些大学被期望于发展可供借鉴的全国性教育质量标准。 Project 985 started more than a decade back and is an attempt to build China's own Ivy League colleges in the 21st century. In the first phase the project included nine universities. The second phase, launched in 2004, includes 40-odd universities. The projects have been backed by significant investments. According to a New York Times report, China is investing $250 billion a year in human capital. 985工程开始于十多年前，意在创造21世纪中国自己的常春藤校盟。工程第一阶段包括了九所大学。第二阶段在2004年启动，新增四十所大学。这项工程受到了大量投资支持。据纽约时报报道，中国为人力资源发展一年就投资了2500亿美元。 The dragon country's efforts are now bearing fruit. Many Chinese universities are climbing up the global ranks. Two Chinese universities have made it to the top global 50 in the Times Higher Education report. India has none. In the top 500, 16 Chinese universities make the cut against seven from India. Mobile international students are taking note. A decade back, China was hardly on anybody's radar. 龙之国度的努力现在已经开花结果，很多中国大学都跻身入全球排行榜。泰晤士报高等教育刊报说两所中国大学成功挤入全球最佳大学前五十名。印度一个名额都没。在全球前五百名大学中中国有16所，完胜印度的七所。国际学生们都注意到了中国的巨大变化，而十年前，中国大学几乎不被关注。 Today, it is the third largest education hub in the world after the US and the UK with 3.28 lakh international students, according to IIE. By 2020, it hopes to host 500,000 international students. Even Singapore is targeting 1.5 lakh foreign students by 2015. In contrast, India was home to just 27,000 international students in 2012. China is aware that to push innovation and realize its economic ambitions, it must be able to attract top talent — in its colleges and workforce. 据国际教育学会数据，现在中国拥有32万八千的外国学生，是仅次于美国和英国的世界第三大教育中心。到2020年，这一数字可能变为50万。即使小国新加坡也有在2015年达到15万外国留学生的目标，而印度在2012年却只有2万七千外国留学生。中国已经意识到，若要推动创新和实现他的经济腾飞，就必须吸引来高端人才——在大学和职场上。 Also, in virtually every key statistic, the world today is seeing a shift from the West to the East. From economic GDP to consumption power, MNCs across the board are looking at Asia and the world's two most populous nations. This shift is happening demographically too. But in the education space, the West still dominates. 从每一个关键数据都能看出，实际上世界中心正从西方转移到东方。亚洲国家，特别是世界两大人口大国国民生产总值和消费能力的提升吸引了所有跨国公司的目光。这种转变和人口有关，但是在教育方面依然是西方占主导地位。 Of the world's top 100 universities, 46 are in the US. Seven of top 10 universities are in the US. Asia has just 11 in the top 100. "It is difficult to replicate what US has done with its universities to 2emerge as an innovation hub," says Pai. So, ambitious and aspirational Indians will continue to look overseas for education. But if India has to realize its potential, it must invest heavily in building world-class institutions in the country — the China way. 世界前100名大学有46所位于美国，前十名有七所是美国的。亚洲在全球大学前一百名中只有11所。“美国通过大学而转变为创新中心的成功是很难被复制的，”派说。因此，有理想有抱负的印度人会继续寻求海外教育机会。如果印度想发掘自身潜力，他必须学中国那样，大力投资于建设世界一流的国内大学。
); background-color: rgb(243, 241, 242); color: rgb(255, 255, 255); background-repeat: no-repeat no-repeat; ">评论翻译: -------------译者：长太息兮-审核者：chen_lt------------ Skhey Mobile (Gurgaon) 22 Hours ago Foreign degree is no more a guarantee card for success. 外国文凭已经不再是成功的保证了 Neil M (pune-mumbai) 22 Hours ago Finding a good university and a good course is important. I know many guys select short courses which are not recognized world wide and specially in India find it difficult to get a job. Also, dream america is not true for everyone. All the best to seekers. 找一个好的大学和好的专业是十分重要的，据我了解一些人选择了一些短期的课程，这些课程并不在世界范围内被承认尤其在印度会发现很难找到一份工作。并不是每个人的美国梦都能实现。祝追梦者好运 Rajesh Thambala (Hyderabad, India) 23 Hours ago Very informative article. 十分有意义的文章 Partha (Bangalore) 1 Day ago Nice Article. Much Appreciated 很好的文章，表示赞赏 SAMAD (India) 1 Day ago right choice.... 正确的选择 Tempcool Mukhopadhyay (India) 1 Day ago An excellent article. Appropriate and very well timed. Issue lies with inadequate job creation in India compared to passing out rate and all sorts of reservation quota for the "privileged" groups. Also unscrupulous marketing by planting misleading information by the education institutes of developed countries and their Indian agents. 一篇很棒的文章。写的正是时候。问题在于在印度创造的就业不足，而毕业生却不断增加，而且“特权”团体得到各种各样的预订配额。另一方面，发达国家的教育机构和其印度代理通过误导性的信息来是肆无忌惮的推销自己的教育产品。 Guramandeep Singh (Mexico) 1 Day ago 67 years after Independence, we are still stuck to providing reservation quotas in institutes of higher education. The recent Supreme Court order puts 27% reservation for OBCs which along with that of SCs and STs brings the total reservation to 49.5%. Here is the breakup of IIM-A seats: General 182 Non creamy OBC 104 ---- Schedule caste 58 ---- Schedule tribe 29 ---- Differently-abled 12 ---- Total 385 --- I have read various comments touching upon patriotism towards India to youngsters being crazy and the need to enlighten them. Reservation for a certain group is discrimination against the other groups. So ask yourself, is our system really fair? Should we not be looking at this objectively and trying to solve the root cause of the problem instead of commenting upon the phenomenon which is a result of a messed up education system at the behest of corrupt politicians? 已经独立67年了，我们的高等教育学院仍在坚持预定配额制度。最近，最高法院颁发命令27%的份额给“其他落后阶级”（OBC），同时给予“设籍种姓”（SC）和“设籍部落”（ST）一定的配额，所以总共就达到了49.5%的配额。对某一群体的配额预留其实是对其他群体的歧视。因此，扪心自问，我们的教育系统真的公平吗？相比于仅仅讨论因为腐败政客的命令导致的混乱教育系统的各种表象，难道我们不应该客观的看待并从根本上解决这些问题吗？ （译著：印度的预留机制指的是将政府机构中一定数量的空缺席位留给那些落后和代表人数不足的团体（主要通过种姓和部落来定义）的成员。相当于以配额为基础的平权运动。“其他落后阶级”、“设籍种姓”以及“设籍部落”是这项机制的主要受益者。 -------------译者：长太息兮-审核者：chen_lt------------ ILA (Chennai) replies to Guramandeep Singh 1 Day ago Dear Learned Singh. This article has nothing to do with reservation. Reservation is about affirmative action (in US parlance). Trying to give some sort of equal opportunity to people (98%) who were subjugated, denied education, and exploited by so called Forward Castes in India who constitute only 2% of the total population for millenium. This reservation is in vogue for only 60 years how can this equation be achieved in such a short span of time. Now the Forward Castes are slowly waking up and cramming for their share in the available piece of cake. If heat is felt for this itself then what should the subjugated feel for having been so for a millenium in the name of MANU SMRITIs laws? People who believe so are as you had rightly (?) pointed out are HYPROCRITS and prisoners of their own conscience. 亲爱的Learned Singh，这篇文章没有提到预留制度，预留制度是一种平权运动（用美国的说法）。它可以给被占2%总人口的高等种姓剥削了上千年，没有机会接受教育，占人口98%的低种姓人一定程度的公平机会，预留制度刚才实施了60年，在这么短的时间内绝对公平是很难实现的。现在高种姓的人正慢慢觉醒，开始狼吞虎咽的享用他们的份额。如果有些人对这种制度反应都如此激烈，那么在《摩奴法典》教义下过了上千年的被征服者又应该做何感想？反对这种平权运动的人都是伪君子和不道德的人。 RM (MN) replies to ILA 9 Hours ago Excuses, excuses. Sixty years after Independence you're still making excuses for a quota system that has made Indian education into a pile of rubbish. 呵呵，独立已经60年了，你还在为把印度的教育弄得一团糟的预留制度找借口 Athena (London) 1 Day ago It is Imperial College and not Imperial University. Perhaps ET must invest in better human capital! 那是帝国理工学院而不是帝国大学，或许《经济时报》应该加大人力资源投入了。 (Hyderabad) 1 Day ago Same thing happened with me as well like akshay kumar. I thought i am reading my story. 我和阿克夏·库马的经历很相似，我还以为在读我自己的故事呢 Nihar (Mumbai) 1 Day ago It completely depends on which institution a person is studying in abroad. It is not so that somebody got a degree in a well recognized institution in foreign and unable to get a job in India. So I request "The Economic Times" to provide a proper interpretation to the reader. 这完全取决于个人在国外的哪个机构学习。一个人得到国外著名机构的学位，却不能在印度找到工作 ，这是不可能的。所以我要求经济时报对给读者一个合理的解释。 kshi S (Bhopal) 1 Day ago coming to US was the worst decision of my life 来美国是我一生最错误的决定 -------------译者：旧西圆-审核者：chen_lt------------ B Venky Venky (Bangalore) 1 Day ago Very informative article. To have world class universities in India, the government should get out of the way. The quota raj in higher education has to stop. More and more private funds has to be garnered towards higher education by giving tax sops. But all this remains in the realm of fiction at the moment. 非常有教育意义的文章。印度如果想要建设世界一流的大学，政府就不能介入。高等教育的配额制度必须终止。通过给予税收方面的优惠，吸引更多的私人基金投入到高等教育中来。不过到现在为止，这还还都是痴人说梦。 ketan m (mumbai) 1 Day ago study there, work here. sounds great! 出国留学，回国工作，看上去不错！ thomas (india) 1 Day ago Yes, every Indian should go overseas for education - build up net work..learn how other s think..their style-quality etc. come back and start self employed business ... it will flourish. take example from china who are into A to Z of business and industries ,they make impossible happen...of course duly and completely supported by their govt.. 我同意，每个印度人都应该去国外接受教育，这样可以建立人际关系，了解别人的思维模式，健康的生活习惯等，然后再回国创业，这样国家才能繁荣。就像中国一样，在各行各业里他们都创造了不可能的奇迹，当然，也离不开政府部门适时的大力支持。 Saswata mandal (kolkata) 1 Day ago still every good student wants to go abroad.. why is it like that?? 为什么所有的好学生仍然都想着出国？ Nanda Kumar (Chennai, Tamil Nadu) replies to Saswata mandal 1 Day ago ET pointed it out already..Global Exposure! and Farther mountains always seem smoother :) 金融时报已经指出来了。。。他们希望能在国际上露脸！因为外国的月亮比较圆 ：） Anupam (Bangalore) replies to Saswata mandal 1 Day ago Quick money 想赚快钱呗 Mumbaikar (Mumbai) 1 Day ago It's not entirely the kids fault - some ambitious parents push out the kids too - 'we don't think there is a future here', they say. Now, some are stuck abroad and need to return home, as countries are on an economic downturn and/or are looking more inward now, . Complicated situation - but opportunities are here too, if you want to grab them. Not everything here is as bad as you may think. 不完全是孩子们的错，一部分雄心勃勃的家长们把他们的孩子推到了火山口。家长们总会说：”我们在这看不到未来。”现在，由于外国经济的不景气以及现在他们更看重本土的学生，留学生在国外没出路，所以只能回国。情况很复杂，但是如果你想要，国内同样有机会。国内情况并非你想象的那么糟糕。 Bharath Selvan Sukumaran (Chennai) 1 Day ago Good news for India. Let their knowledge be used for Indians in India 对印度来说是个好消息。他们学成之后可以回来造福印度人民。 jgsemig (Delhi110007) 2 Days ago what about large numbers of foreign students studying in India? How could IIM-B professor be so insensitive? In a global world does this mean that Indian educational Institutions have already thrown in their towels? Does it also mean that Universities like SAARC and others have no futures? 也有很多外国学生在印度留学啊。 为什么印度管理学院班加罗尔分校(Indian Institutes of Management) 的教授们这么愚钝。从全球范围来看，是不是这就意味着印度的教育机构已经宣布投降了？类似南亚区域合作联盟（South Asian Association For Regional Cooperation）这类的学校就没有前途了吗？ -------------译者：长太息兮-审核者：chen_lt------------ Sriram B (Bharat) 2 Days ago Learn Globally and be back to improve India. Just as they say wait till the last ball is bowled in a cricket frenzy country; do not lose hope till you have tried your hands on what you want to transform the country into. 出国深造回来为祖国效力，在这个痴迷于板球运动的国家里，就像人们所说的不到最后一球都不能言败；在尝试做一些让我们的国家变得更好地事情之前，也不要放弃希望。 Ajay Kumar (NYC) 2 Days ago Only the people who have earned admissions into Indian Universities based on reservations, face problems studying abroad, as they are looking for concessions always. People who have earned admissions throughout based on their capability and knowledge, do not face any problem. Such students do not come back. 只有那些依靠配额进入印度大学的人在出国留学学习时会面临问题，因为他们一直在寻求被特殊对待。而依靠自己能力和知识进入大学的人不会面临这些问题。这些学生也不会回国的 Ayush Jha (NOIDA) 2 Days ago Study in the US(OUT OF INTEREST in the field and/or spectrum, NOT parental pressure/peer pressure) , Work to repay the loans & then do your own startup in India. All the best :) 在美国学习（自己兴趣使然，而不是受到父母或者同龄人的压力），工作付清借款，然后在印度开始自己的事业，祝好运 ：） Mukesh Mishra (Haridwar) 2 Days ago It didn't work. My good grades made me eligible for plenty of jobs, but my non-European Indian passport was the problem," he shrugs. 他耸耸肩说：“没用的，我的成绩足够好让我可以得到很多工作，但是我的非欧洲的印度护照才是问题的关键。” Ashwani Kaushal (New Delhi) 2 Days ago righly said, getting an addmission in DU colleages are like dreaming in day time.... it is always good to go abroad and get certification and return back... but once the indian student get a better envoironment and facility abroad why they come back to corrupt indian culture, only few with family business background will come to share the same plateform with their parental company ....shamful for Indian corruption 说得对，要想进入德里大学无异于白日做梦。出国留学获得学位然后回印度总归是好的，但是，既然印度学生在国外有更好的环境和设施，他们怎么会回到腐败的印度呢，只有很少一部分有家族企业背景的人回国继承父母的产业，对印度的腐败感到羞愧。 Parthipan K (Chennai) 2 Days ago I agree with the fact that Indian Universities are not flexible. But intelligent students can acquire knowledge of any subjects of their own. So they should not blame Indian Universities. More over, not all institutes in abroad are of high standards. Even in Ivy schools, the standards are coming down like our IITs. My opinion is that if one works hard in Indian top universities, they can acquire global standards. Also all the premier institutes in US are putting their course material in the web and hence, by going thru them one can acquire high knowledge. 我同意印度的大学不够灵活。但是聪明的学生可以靠自己得到任何学科的知识。所以他们不应该抱怨印度的大学。另外，并不是所有的外国机构都有很高的水准，甚至常春藤大学也正下降到印度理工学院的水准。我想说的是，如果一个人在印度一流大学里足够努力，那么他可以达到世界级的水准。另外美国一些著名大学把他们的课程放在网上，因此通过网上课程我们可以得到尖端的知识。
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