Excel Trading Spreadsheet for Backtesting Strategies – Algoji
Forex Manual Backtest – Backtesting Report and Using Excel
Forex Excel Spreadsheet For Backtesting Strategies – Algoji
The Ultimate Beginner's Guide to Forex Backtesting ...
Forex Trading Journal Excel Template 2020 Download for Free
What to Include in a Forex Backtest Spreadsheet
H1 Backtest of ParallaxFX's BBStoch system
Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are. TL;DR at the bottom for those not interested in the details. This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.
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.
For context, this post is regarding stock trading, not options/futures/forex/etc. I must be missing something here. AFAIK, the "trade price" is my averagebuy price (unless I'm mistaken). I sold some shares recently, and I noticed that the "trade price" in ToS is higher than what I have calculated in my spreadsheet. Why does this number adjust when I sell some of my shares? My buy price shouldn't change as I decrease the size of my holdings. I would think that the "trade price" would only adjust as I add shares to the position, not as I decrease shares... What am I missing? EDIT: I didn't consider that some of these stocks recently paid out dividends... Maybe that's why the "trade price" increased, to account for the dividend payout? I'll have to go back in my notes and test this theory.
Have you ever traded with statistical edge?Our Allen trade talks about backing up the trading network and leveraging it from excellent newspapering. This is a stage that is undermined by many traders but fairly, it can be a crucial factor in boosting your trust and believing in your system. For those interested in this sort of research, you can check out the FTMOStatistical Application. Trading with a Statistical edge Although many traders back-test and record their trades to verify the trading system 's feasibility, monitoring and using the data to maximize both your stop loss and profit goal is a tremendous advantage. Two of the most critical pieces of data that I record when reporting trades is the drawdown and the benefit potential. The drawdown, to be sure, is how far a trade goes against my place before it goes in my favour. Whereas the benefit potential is the maximum distance from my entry which the trade moves in my favor. It isn't important and it's uncommon, in general, that I actually exit the trade. Yet definitely coming out at or as close as can be. Firstly, I record my trades in two ways, using screenshots of the charts themselves where I annotate my entry, date, type of trade and all other relevant details related to my methodology, such as strength and weakness analysis , multiple time frame analysis and correlation. I also note on the map the drawdown and benefit potential of the trade. Then I go through my Excel spreadsheet with main details. See "excel" below. Excel spreadsheet with main details. This includes the date, day, session, pair, time, route, entry price, closing price, type of setup, type of entry, type of exit, drawdown, potential for benefit and outcome. I then let excel do all the heavy lifting for myself as I can sort my trades numerous ways, by day, by session, by pair, by route, by type of set-up etc. But where the really cool stuff is under the "Mind-blowing stats" tab where I have some of the above filterable statistics that will help me to optimize both my stop loss and my benefit goal. Here is a summary of the specification. When you use a risk percentage account to calculate your position size (as you should), so the lower the pause, the larger a position size you will trade in. The stop must, therefore, have a high likelihood of remaining. The vast majority of trading books, guides, videos, etc., advise that after a recent high / low swing, the stop will be many pips. But my trade documents helped me to come up with a statistical advantage for my stoppage placement. As can be seen in the "Drawdown" tag, Trading my Type 1 BO (breakout out) on GBPAUD, 79.55 percent of the time my drawdown was less than 25 pips, although it was just 81.82 percent at 30 pips and 84.09 percent at 35 pips. Statistical Edge Trading So when using a larger pause, an extra loss or 2, the advantage of having a greater size of the place and thereby netting more money makes the extra loss(s) inconsequential. Furthermore, the income goal can also be optimized. Looking at the "Profit Potential" connection and remaining on GBPAUD again for my Type 1 BO trades, we can easily see that almost 80 percent of the time, those trades get between 20 and 30 pips. Statistical Edge Trading (b) It is a perfect place to take off 1/2 of the spot and push the stop to flat. So we can let the rest of the half run to about 50 pips where 59.09 percent of the trades touch. Obviously market conditions aren't always the same, so if you can recognise when they are, i.e. linked moves or strengthening or weakening other classes (commodity pairs or safe haven pairs), then you can make educated decisions about how far a trade will go. Statistical Edge Trading (meme) I hope this information 's helpful to you. Eva " Forex " Canares . Cheers and Profitable Trading to All. About FTMO - They fund forex traders. Just Pass their risk management rules and begin trading for their company. They'll provide you capital up to $300k USD for trading the financial markets. 70% of profits you keep and losses are covered by them. How does it work? How to Become a Funded Forex ,Stocks or CryptoCurrency Trader?
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.
Which Are Your Top 5 Platforms Out Of The Top100? An Analysis.
There are currently a lot of platforms, more specifically, there are 35 platforms within the Top100 only and many do very similar things. How is one supposed to know how they differ? That was the question that I asked myself. So, I decided to compare all platforms within the Top100. I noticed that they can be put into into 5 different categories. Note: A platform is a cryptocurrency that offers smart contracts at least.
Dapps platforms are definitely a solid bet for the next years. Besides Ethereum, Neo, EOS and Stellar are probably the most known here, however, all 4 are simply extremely centralized and would need to completely change their architecture to become more decentralized. Until that happens, none of these platform can really be considered as a platform with good technology, since everyone can achieve high scalability by letting a few hundred nodes do the consensus algorithm. There is nothing difficult about that. The difficulty is achieving several million TPS with 100,000 nodes deciding consensus. Cardano, Aeternity are the only ones that seem to be able to maintain excellent decentralization with high scalability, because they scale through side-chains/horizontally. All platforms considered, Ethereum seems to be on the way there as well with its change to Casper.
Cardano has a great team, has probably the most secure PoS that was peer-reviewed in a scientific approach, has their mainnet launched, has near infinite scalability through sidechains and offers broad usability of Smart contracts in a number of programming languages.
Ethereum is a 2nd generation blockchain that allows the use of smart contracts and dapps on a smaller scope. Ethereum currently has bad scalability, though this concern could be alleviated by the soon to be implemented Sharding concept and its new PoS/PoW consensus algorithm Casper. Still, there are platforms with much more comprehensive dapp ecosystems, and much more scalability. However, Ethereum just closed a partnership with AWS. This is probalby the biggest partnership in the cryptosphere. Though, in order to be better than any of the top 3 platforms, it would need to provide Oracles, a lot more functionality for dapps, partnerships, decentralized data storage, cloud computing.
Neblio is similar to NEO and a good platform, though it has a much smaller market cap.
EOS has high scalability, though is much more centralized than Skycoin, Elastos and Cardano. However, it offers a lot of functionality for Dapps. EOS is overhyped. It is on the same level as Neblio, Neo, Aeternity, but not on the same level as Skycoin, Elastos, IOTA, Cardano.
NEO is a very established platform in this category.However, Neo dapps scale on-chain and can thus clog the network quickly. For that reason, NEO had to pick a very centralized approach to maintain scalability and it looking to rely on hand-picked nodes to maintain scalability in the future, very similar to EOS also very centralized approach of 121 handpicked nodes.
Stellar has similar goals as Ripple, only that it is more a platform than only a currency, so it does offer more functionality. . Stellar uses Byzantine Fault Tolerance in the consensus protocol, which ensures secure consensus can be reached (moving the blockchain forward) even if a large percentage of nodes are disabled or acting dishonestly. It also helps keep nodes distributed. Stellar is a good platform with tight involvement with banks. While it doesn't have as much functionality as all above platforms, it can probably carve out its niche by doing really good business with banks.
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.
IOST: To improve speed and scalability, IOStoken uses a Proof of Believability consensus mechanism eliminating the need for an energy-hungry proof-of-work protocol, which stands as a barrier to blockchain scaling up for widespread adoption. With this system, a node is validated based on its past contributions and behaviors. Moreover, to increase fairness and to most fully embrace the decentralized nature of the blockchain, IOS uses a “fairness” algorithm that randomly distributes data to various nodes. It’s intended to support service-oriented goods and services with large customer bases. Decentralized applications and smart contracts, the hallmarks of blockchain platforms, are a priority for IOS as well.
Request Network: Req payments can be used for online purchases, business to business invoices, escrow, advanced payments and eventually IoT payments between machines. Other than payments, the Request Network is also tackling auditing and budget transparency. Businesses have the ability to track invoices to audit payments as well as record transactions for accounting purposes. Governments, nonprofits, and other organizations can also use Request to bring transparency to their budget and expenditures.
Rchain: Similar to Ethereum with smart contracts, though much more scalable at an expected 40,000 TPS and possible 100,000 TPS. However, Rchain has not launched ye..
Ziliqa: Zilliqa is building a new way of sharding, so that 10,000 tps are 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.Rchain is an ok platform.
Ethereum classic is the original Ethereum that decided not to fork after a hack for philosophical reasons. The Ethereum that we know is its fork.
2) BaaS (Blockchain-as-a-Service)
BaaS take a different route to adoption than mere Dapps platforms. They are also dapp platforms, but focus on businesses (B2B) instead of end-users (B2C) within the cryptosphere. They sell their blockchain services to companies, who then can build their own customizable blockchain as a side-chain to the BaaS without hassle and worry about technology or blockchain architecture. This is all handled by the BaaS company already and the customer only needs to change a few variables and they have their own blockchain. Side-chains are interesting, because they allow virtually infinite scaling, since there can be an infinite number of side-chains that only communicate with the main-chain occasionally and handle the majority of transactions on their own chain. This is also called horizontal scaling. The success of a BaaS platform largely depends on its ability to close partnerships to sell to large businesses and having the best usability. The more contracts they can sell to businesses and institutions, the more valuable it will be. For that reason, the BaaS with the best ability to form partnerships and do sales will win this market. Technology isn't as important here. Of course, the platform has to work without bugs, but having a platform with outstanding technology, average usability and average marketing will lose against a platform with average technology, great usability and great marketing.
VeChain is a Singapore-based project that’s building a business enterprise platform and inventory tracking system. . While it is not really competing with the above mentioned platforms, any of them can build supply management tools into their platform and compete with VeChain. However, VeChain has very strong partnerships. This gives them some protection of any of the above mentioned entering the market. Examples are verifying genuine luxury goods and food supply chains. VeChain has one of the strongest communities in the crypto world. If you are looking for something more high risk, high return, have a look into Ambrosus and Devery(Eve). Both also seem to be good at building partnerships, which is the most important characteristic for a supply chain platform required to succeed.
Icon is called the Korean Ethereum. However, it specializes more on building customizable blockchains for banks, insurance providers, hospitals, and universities, since it's a BaaS. Icon has a focus on on ID verification and payments. Icon is ery close behind Vechain, because with Samsung and Line.
WTC is a supply chain management platform, similar to Vechain, however, with fewer partnerships.
Komodo’s open-source platform is 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. While it doesn't have as many partnerships as other BaaS, it is the only BaaS that offers privacy so far. However, that's. it such a bug competitive advantage, since it can be replicated rather swiftly.
NEM: The NEM blockchain powers what they call the Smart Asset System. This system is intended to be an open, customizable blockchain solution for any number of use cases built on top of simple, powerful API calls. NEM started as a NXT fork and introduced a new consensus mechanism called Proof of Importance (PoI), designed to reward users’ contribution to the XEM community. It is roughly based on proof-of-stake, but it also reflects how active a user is in transacting with other users. POW rewards powerful computers and also requires excessive amounts of energy. POS gives an unfair advantage to coin hoarders. The more coins they keep in their accounts, the more they earn, meaning that the rich get richer and everyone has an incentive to save coins instead of spending them.
Ark is a fork of Lisk, which is doubling down on a smaller feature set than Lisk. Ark is a good BaaS, though it doesn't have many partnerships. Furthermore, they haven't launched their platform yet.
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. Dragonchain is a good BaaS, though it doesn't have many partnerships. However, it was funded by Disney, so it might be able to get partnerships more easy.
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 too. Lisk is a good BaaS, though it doesn't have many partnerships. Furthermore, they haven't launched their platform yet.
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.Stratis is similar to Lisk, but also doesn't have many partnerships
ARDR: 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.
Bytom: Bytom is an interactive protocol of multiple financial assets ( digital currency, digital 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.
There are really only 2 platforms in the Liquidity market, albeit the Liquidity market could be one of the biggest markets with insitutional investors entering the cryptoworld soon, since there is very little liquidity in Bitcoin. For example, say a pension fund wants to buy or sell $10B in Bitcoins. No single exchange has that many Bitcoins available and it would wreak havoc on the market. This wouldn't be a problem with Liquidity platforms, since they pull all order books together and back up market liquidity with FIAT money among other things.
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=3Qash is doing something completely different as the above mentioned. It offers liquidity in an illiquid market. Sell shovels during a gold rush.
Loopring is similar to Qash, only that it functions as a dezentralized exchange, while QASH is more of an API without a user interface. It is a protocol that will enable higher liquidity between exchanges and personal wallets by pooling all orders sent to its network and fill these orders through the order books of multiple exchanges. When using Loopring, traders never have to deposit funds into an exchange to begin trading. Even with decentralized exchanges like Ether Delta, IDex, or Bitshares, you’d have to deposit your funds onto the platform, usually via an Ethereum smart contract. But with Loopring, funds always remain in user wallets and are never locked by orders. This gives you complete autonomy over your funds while trading, allowing you to cancel, trim, or increase an order before it is executed.
These are platforms that are focused on a specialized functionality
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 (Bookkeepers) 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.Nebulas is the only one doing what it's doing. This makes them very unique and a good investment.
Centrality is a decentralized market place for dapps that are all connected together on a blockchain-powered system. Centrality aims to allow businesses to work together using blockchain technology. With Centrality, startups can collaborate through shared acquisition of customers, data, merchants, and content. That shared acquisition occurs across the Centrality blockchain, which hosts a number of decentralized apps called Scenes. Companies can use CENTRA tokens to purchase Scenes for their app, then leverage the power of the Centrality ecosystem to quickly scale. Some of Centrality's top dapps are, Skoot, a travel experience marketplace that consists of a virtual companion designed for free independent travelers and inbound visitors, Belong, a marketplace and an employee engagement platform that seems at helping business provide rewards for employees, Merge, a smart travel app that acts as a time management system, Ushare, a transports application that works across rental cars, public transport, taxi services, electric bikes and more. All of these dapps are able to communicate with each other and exchange data through Centrality. Centrality is the only one doing what it's doing. This makes them very unique and a good investment.
Salt: Leveraging blockchain assets to secure cash loans. 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.Salt is a good lending platform. However, there is also Elixir, a better investment with a 30x smaller market cap, but also strong technology. Elixir has such a low market cap, because they didn't have an ICO and they only focused on development and no marketing. As of last week, they started marketing.
Aion: Today, there are hundreds of blockchains. In the coming years, those hundreds will become thousands and—with ,widespread adoption by mainstream business and government—millions. Blockchains don’t talk to each other at all right now, they are like the PCs of the 1980s. The Aion network is able to support custom blockchain architectures while still allowing for cross-chain interoperability by enabling users to exchange data between any Aion-compliant blockchains by making use of an interchain framework that allows for messages to be relayed between blockchains in a completely trust-free manner.
Waves is a decentralized exchange and crowdfunding platform by letting companies and projects to issue and manage their own digital coin tokens to raise money.
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. Chainlink's main functionality is oracles, a functionality also offered by IOTA.
QTUM: Smart Contracts on the Bitcoin blockchain. QTUM is a smart contracts for BTC, a very niche market. Furthermore, BTC might offer smart contracts itself soon and make QTUM obsolete. Hopefully QTUM will expand into more smart contracts functionality to become relevant again.
Nebulas with Indexing the Blockchain world and Salt with Lending are probably the 2 most interesting platforms here. Nebulas doesn't have a single competitor, though there are several competitors to Salt with a much smaller market cap and with similar development progress, ELIX.
There are 3 platforms that have not been discussed yet. However, they can do most what the above platforms can do and have the potential to steal the market of all above mentioned platforms. That's why I call them behemoths. 1.) Skycoin :Skycoin is building what Pied Piper is building in the series HBO's Silicon Valley, a completely decentralized internet that is not run by ISPs, but by IoT devices, making telecom providers like Comcast, ISPs who can control bandwith, cost, net neutrality, filters, access etc. obsolete and completely decentralize them. Skycoin offers what 36 coins are offering:
If you think that the decentralized Internet will blow all other markets out of the water and will be the biggest invention of this decade, then Skycoin is your pick, because covers that and what 27 coins do. 2.) IOTA: With the launch of Q 1 week ago, IOTA is about to offer what 27 platforms within the Top 100 are offering (!) and they are probably looking to replace several more.
10 Smart Contract and Dapps platforms (Cardano, Ethereum, Neblio, EOS, Stellar, Neo, Rchain, IOST, Ziliqa, Eth classic)
2 Oracles (Aeternity, ChainLink)
3 Outsourced Cloud Computing (DBC, Aelf, Golem)
IOTA is at the same level as Skycoin and Elastos. However, SKY's flagship product is the Decentralized Internet and ELA's is the most comprehensive dapps operating system in the cryptosphere, which IOTA cannot really replicate in the near future, because it takes years of reseach and development. This protects ELA and SKY from IOTA for now. However, it looks like IOTA can snatch up all the smaller, easier to replicate markets, such as cloud computing, oracles, smart contracts, decentralized storage, currency exchange and soon possibly also supply chain management, BaaS functionality, privacy, security identification since none of those are really hard to build. However, Skycoin and Elastos will probably focus on their flagships and leave IOTA to scoop up all the rest. It will be an interesting year. 3.) Elastos started out as a mobile operating system 18 years ago and has now moved towards a smart contracts platform, operating system and a runtime environment for Dapps. Thanks to side-chains they are near infinitely scalable and is thus also very decentralized. Elastos is offering what 36 coins are offering
If you are very convinced that BaaS solutions and dapps platforms will be the big winners for 2018, then Elastos is your pick as far as I can see, because it is probably the best BaaS and dapps platform with near infinite scalability and the best decentralization and thus does what 32 coins do. 3 Closing Questions All of the above findings leave me with those 3 questions. What are your thoughts?
Why invest in any of Dapps platforms (Cardano, Neblio, EOS, Stellar, Neo, Aeternity, Rchain, IOST, Ziliqa, Ethereum, Eth classic) when Elastos and Skycoin do everything they do, are much more decentralized and scalable through side-chain/off-chain/horizontal scaling and offer lots more functionality beyond that?
Why invest in any BaaS (Ontology, Komodo, NEM, Ark ,Dragonchain, LISK, Stratis, ARDR) if ICX and VeChain offer everything what all of the above offer and already have 10x more partnerships than their competitors?
It looks like out of all 35 platforms, only 5 are really strong: IOTA, Skycoin, Elastos, VeChain, ICX. While the first 3 seem to cover already almost half of the top 100, the last 2 really convince in the partnership department. What's the argument for investing in any of the 30 other platforms? Maybe that they can specialise on a specific feature set, however, is this really a convincing argument? The cryptoworld is harsh and if you can't keep up with competition, you'll be moved out of the market quickly.
I've recently been working on creating and refining a new edge. Journaling is an essential part of that process and it inspired me to make this post since some people might not see the importance of keeping one.
Journaling is one of the most important aspects of your trading.
It can be a chore, but keeping a trading journal is incredibly useful.
Because if you set one up and use it correctly, that's where you'll find patterns. Patterns in the markets, patterns in your trades, and patterns in your trading behaviour. You can use a journal find new edges. Or to refine your entries, exits, SLs, TPs, holding times, etc. Or to find and address any bad trading behaviours (eg. moving SLs when you shouldn't be, or skipping valid set ups out of fear). You get the idea - it's really handy.
What should you put in your journal?
As much as you can - without discouraging yourself from actually using it consistently. That's going to differ for everyone. Do some googling (or ask people here on reddit) to see what other people have found useful variables to track. There's also lots of templates available online to copy (eg. here or here). Keep in mind that different technical set ups will require different variables to track. A few that I think are very useful yet often overlooked include - maximum adverse excursion, maximum favourable excursion, tracking the performance (using R multiples) of a few alternative exit methods, and the name of the day of the week at entry.
So what should you do?
Step 1 - Think long and hard about the appropriate variables you think you should track - ones that could influence your trade performance. Step 2 - Update your journal regularly. I like to do it at the end of every trading day while the trades are still fresh in my mind. Find what works for you. Step 3 - Periodically go back and analyse your journal. You might find that your win rate drops significantly on Fridays and thus makes your Friday trades have a negative expectancy. You might find that having RSI divergence at your entry signal increases the expectancy of the trade by 13%. You might find that exiting at ATR significantly outperforms both exiting at your Bollinger bands or exiting at a 161.8% fib extension. You get the idea? Step 4 - Act on the information provided by your journal. Skip those Friday trades. Add RSI divergence to your entry requirements. Exit at ATR. Whatever.
Journaling is incredibly useful for backtesting, forward testing, and live trading. Your journal is your best friend. Use one.
Create a folder for trading screenshots. Take a screenshot of the chart every time you enter, exit or modify a trade. Annotate the screenshots in an image editor (eg. MS Paint) if you want. Find a naming convention that works. Here's an example from my folder. Sort this folder in numerical order and you'll have a chronological chart book of all your trades which can be useful for visually searching for patterns.
I use a paid program called Edgewonk as my journal. It's just a glorified excel document that makes the analysis easier. You can just use the filter feature in excel to see how variables (and combinations of variables) affect your trades. Here's an export of some of the things I track in it for one of my set ups.Notethisspreadsheetdoesn'tincludethetrackingofdifferentexitmethods,ortradescreenshots,oranyanalysis.
If you feel like sharing the variables you track in your trading journal, I'm sure people would like to read about them in the comments.
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Trading Through a Balance Sheet-Based Financial Institution vs. Distributed, Decentralized, P2P Software Concern
What I do want to accomplish is the education through the fact that the Bitcoin protocol has given rise to the genesis of a new type of company, with a new business model that can offer a totally new type of product. As you were able to see from above, Veritaseum's UltraCoin offers a very uniquer product with many if not all of the attributes that potential competitors offer, with a slew of attributes that others can't touch. This is done at 1/5th of the price and at much less risk! When dealing with Veritaseum's UltraCoin, you can never get Gox'd because we never have (nor do we want) possession of your coins or fiat - every, at any time. Because we don't user our balance sheet (we are a software company, not a centralized exchange or brokedealer) you:
are never exposed to us as a counterparty, we make the blockchain your counterparty
never have to worry about our capital reserves or the capitalization/credit of your initial counterparty (all trades are fully funded at the outset, even a heavily levered trade at 10,000x),
You never have to worry about negative drawdowns, negative equity or margin calls
If a catastrophic event were to occur, say bi-coastal earthquake takes out our datacenters on the east and west coasts simultaneously while a meteor hits the backup center in the midwest, you will still be able to recover you funds - on your own. Since we do not have possession of your funds you don't have to worry about us absconding with them nor getting blown up with them. Each trade has a catastrophic rollback feature which will put you back into your original funding position n-time units after expiry. Unfortunately, you will not be able to complete your trade, but if two bi-coastal trades hit at the same time as meteor to the mid-west, you may not be studying that EUR short anyway :-)
This is just the beginning of what is capable with our Internet 2.0 business models. I implore you to download our:
and of course, the UltraCoin BTC wallet for Windows - or - Mac & Linux, which doubles as the trading client. The wallets have a "Demo Mode" which allows you to trade on testnet if, after using the spreadsheet modeler, you are still not comfortable committing live coins. You can get the demo (testnet) coins here.
What to Include in a Forex Backtest Spreadsheet. One critical step on your Forex journey is going to be backtesting. Once you find a system or method which you like, you are going to need to run through historical data and see how your method would have performed on real trades over the past few weeks, months, or years (depending on the timeframe you are planning to trade). It is recommended ... Conclusion Forex Trading Journal Excel Spreadsheet. These are some ideas; there are dozens of other questions that a journal can help answer. With this, we do not want to tell you to analyze the trades more than necessary because then we fall back to the opposite problem, the so-called analysis paralysis (the psychological block because of excessive analyzes). However, a successful trader is ... Forex Excel Spreadsheet For Backtesting Strategies [box type=”bio”] Jayantha has been selected as Campus Ambassador at AlgoJi- 2017. He is pursuing B.Tech. + M.Tech. (Dual Degree) from IIT BHU. His hobbies include maths and music.[/box]Forex Excel Spreadsheet shows you how to code and backtest strategies for the international currencies market. The Foreign Exchange market is the largest ... If you have heard of Forex backtesting, but always wondered how to do it, then this guide is for you. Just like everything in trading and in life, there is no one-size-fits-all. Backtesting will not work for every trader or every trading system. However, there is nothing that I have seen that has universally helped more people become successful in trading, than backtesting. I consider it vital ... Forex Manual Backtest – Backtesting Report and Using Excel. Post Author: david; Post Category: Articles; In this article, we are going to see what information we need to collect for a manual backtest, particularly in forex; how to gather them, what can be found in a backtesting report and what do they tell us and how we can calculate the information we’ve gathered using Excel. If you are ... Backtesting Excel Trading Spreadsheet. Now lets backtest our algorithm on historical data to see how it would have performed in the past. The data we are going to be using is hourly closing prices of SBIN starting from 2009 until 2017. Let us write a macro/subroutine which runs on the data, and writes all the trades and the PnL statements in another sheet. This is how our data looks like . Now ... The Backtesting Expert is a spreadsheet model that allows you to create trading strategies using the technical indicators and running the strategies through historical data. The performance of the strategies can then be measured and analyzed quickly and easily. During the backtesting process, the Backtesting Expert runs through the historical data in a row by row manner from top to bottom ...
How to Backtest A Trading Strategy in Excel - YouTube
This video shows how anybody can test their own trading strategies using Excel. I demonstrate how to use historic price data and to calculate technical indic... FREE: Advanced Pattern Tutorial - https://www.thetradingchannel.net/optinpage CHECK OUT: EAP Training Program - https://goo.gl/7RrMM5 JOIN: "Advanced Pattern... FREE Advanced Pattern Tutorial - https://www.thetradingchannel.net/optinpage EAP training program - https://goo.gl/5cP1Z5 Trading view link: https://www.trad... A tutorial on how to use the back testing spreadsheet. You can find this spreadsheet on my website (link below). Sorry for the poor sound quality! I hope this has been of use to you! If you like ... Note: Notion is now FREE for students and teachers!! ** UPDATED 2020 NOTION PAGE - http://hannahforex.com/notion-templates ** TRADING: 💻 FTMO - http://hannah... This video will show you How to Backtest a Forex Trading Strategy, as well as 3 TIPS on BACKTESTING... Trading Platform I Use: https://www.tradingview.com/... You want to gather as much information at the backtesting stage as possible (even if its something you may not use in your trading) so it will allow you to develop an optimum trading plan to suit you! In this video I explain the process behind developing your own rules-based forex trading strategies - and how to prove they actually work! Below you can also find links to download my spreadsheet ... IMPORTANT: I have updated the video with an important new feature that you can find here: https://www.youtube.com/watch?v=CPlx8nmuXgE&t=169sHow to Build A Forex... The purpose of this mini-series is to provide an insight into how I created my own backtesting spreadsheet for trading. Many people seem to get overwhelmed a...