In early October, the US Commodity Futures Trading Commission (CFTC) charged this crypto exchange with illegally operating an unregistered trading platform.
A) Bittrex B) Binance C) Bitmex D) That other crypto exchange that starts with the letter “B” Scroll down for the answer.
Ranking and October Winners and Losers
2019 Top Ten Ranking - 40% dropout rate After losing quite a bit of ground in the rankings in September, the 2019 Top Ten rebounded a bit in October. Only BSV finished down on the month, down two places (from #9 to #11) and dropping out of the Top Ten. The rest either held or climbed: EOS, Tron and Stellar each advanced one position each and Litecoin picked up four places and was able to rejoin the Top Ten. It’s good to have LTC back in the familiar confines of the Top Ten, as last month it found itself on the outside looking in, for the first time since the Experiments started back in January 2018. 40% of the crypotos that were in the Top Ten on January 1st, 2019 have dropped out: Tron, Stellar, BSV, and EOS have been replaced by BNB, DOT, ADA, and LINK. October Winners – Big PoppaBTC had a great month, finishing up +25%. Second place goes to LTC, up +17% in October, followed by BCH, up +14%. October Losers – The losses were moderate this month, but the L for October goes to BSV, which lost -7% and fell out of the Top Ten. EOS was second worst performing, down -5%. For overly competitive nerds, here is a tally of which coins have the most monthly wins and losses during the first 22 months of the 2019 Top Ten Experiment: 2019 Ws/Ls Because it's the default winner in down months, Tether is still far ahead in terms of monthly victories (7). That’s more than twice as much as second place BSV, BTC, and ETH. And although BSV is up 74% since January 2019, it dominates the monthly loss count: it has now finished last in nine out of twenty-two months (paying attention, swing traders?). And XRP is still the only crypto that has yet to notch a monthly win.
Overall update – BTC’s lead increases, XRP back to the basement, 2019 Top Ten pulls ahead of other Experiments.
BTC extended the lead it carved out last month over second place ETH in October. The top two are up +262% and +191% respectively, followed distantly by Litecoin, which is up +79% since January 2019. The initial $100 investment in BTC is currently worth $369. For the first time since April 2019, BSV has dropped out of the Top Ten. Twenty-two months into the 2019 Top Ten Index Fund Experiment, 70% of the 2019 Top Ten cryptos are either flat or in the green. After barely escaping the basement last month, XRP has once again sunk to the bottom of the pack, down -33% since January 2019. At +66%, the 2019 Top Ten Portfolio has pulled ahead of the 2020 Top Ten Portfolio’s +61% gain and both are far, far ahead of the 2018 group , which is down -74% (more on that below).
Total Market Cap for the entire cryptocurrency sector:
Total market cap since Jan 2019 is +215% Since January 2019, the total market cap for crypto is up +215%. The overall market gained about $50B in October, ending the month just over the psychologically important $400B mark. This is now the highest month-end level since the 2019 Top Ten Experiment began 22 months ago.
Overall return on investment since January 1st, 2019:
The 2019 Group gained $122 in October, so after the initial $1000 investment, the 2019 Top Ten Crypto Portfolio is worth $1,660. 2019 Top Ten Index Fund Experiment ROI For some context, here’s a look at the ROI over the life of the first 22 months of the 2019 Top Ten Index Fund experiment, month by month: 2019 Top Ten ROI summary Unlike the completely red table you’ll see in the 2018 Top Ten Experiment, the 2019 crypto table is almost all green. The first month was the lowest point (-9%), and the highest point (+114%) was May 2019. At +66%, the 2019 Top Ten Portfolio is now the best performing out of the three Experiments but not by much: the 2020 Top Ten Portfolio is up +61%. Speaking of the other Experiments, let’s take a look at how the 2019 Top Ten Index Fund Portfolio compare to the parallel projects:
Taking the three portfolios together, here’s the bottom bottom bottom line: After a $3000 investment in the 2018, 2019, and 2020 Top Ten Cryptocurrencies, my combined portfolios are worth $3,537 ($264+ $1,660 +$1,613). That’s up about +18% for the three combined portfolios, compared to +11% last month. Here’s a table to help visualize the progress of the combined portfolios: 2018, 2019, 2020 Top Tens combined ROI To sum up: +18% gain by dropping $1k once a year on whichever cryptos happened to be in the Top Ten on January 1st, 2018, 2019, and 2020. But what if I’d gone all in on only one Top Ten crypto for the past three years? While many have come and gone over the life of the experiment, only five cryptos have started in Top Ten for all three years: BTC, ETH, XRP, BCH, and LTC. Let’s take a look at those five: A tie: BTC catches up to ETH this month for leader of the Three Year Club Up until this month, Ethereum would have been your best bet. As of the end of October, it’s basically a tie between BTC and ETH. Both are up +121%, (although BTC is technically $21 ahead of ETH). On the other hand, if I had followed this world’s slowest dollar cost averaging approach with XRP, I’d be down -32%. With BCH I would have just about broken even. Alright, that’s crypto. How does crypto compare to the stock market?
Comparison to S&P 500:
I’m also tracking the S&P 500 as part of the experiments to have a comparison point with traditional markets. The S&P continued to fall from an all time high in the summer, and is now up +30% since January 2019. S&P since Jan 2019? +30% The initial $1k investment I put into crypto 22 months ago would be worth $1,300 had it been redirected to the S&P 500 in January 2019. +30% is not a bad return at all. But the 2019 Top Ten Portfolio is up more than double (+66)% over the same time period. That’s 2019. But what if I took the same world’s-slowest-dollar-cost-averaging $1,000-per-year-on-January-1st crypto approach with the S&P 500? It would yield the following:
$1000 investment in S&P 500 on January 1st, 2018 = $1220 today
$1000 investment in S&P 500 on January 1st, 2019 = $1300 today
$1000 investment in S&P 500 on January 1st, 2020 = $1010 today
Taken together, here’s the bottom bottom bottom line for a similar approach with the S&P: After three $1,000 investments into an S&P 500 index fund in January 2018, 2019, and 2020, my portfolio would be worth $3,530. That is up +17.6%since January 2018. Compared to a +17.9% gain of the combined Top Ten Crypto Experiment Portfolios. You can also compare against five individual coins (BTC, ETH, XRP, BCH, and LTC) by using the table above if you want. It’s small, but that tiny 0.3% difference in favor of crypto. That’s now seven monthly victories for the S&P vs. three monthly victories for crypto, all clustered in the second half of the year. Crypto re-takes the lead in October....barely
Thanks mainly to Bitcoin, October was a good month for crypto and a good month for the 2019 Top Ten Portfolio. As traditional markets have struggled over the last few months, crypto seems to be headed in the opposite direction. I’m looking forward to seeing if those trends hold in the last few months of a crazy year. Take care of each other out there, stay safe. Thanks for reading and for supporting the experiment. I hope you’ve found it helpful. I continue to be committed to seeing this process through and reporting along the way. Feel free to reach out with any questions and stay tuned for progress reports. Keep an eye out for the original 2018 Top Ten Crypto Index Fund Experiment and the 2020 Top Ten Experiment.
In September, this decentralized exchange (DEX) overtook Coinbase in trading volume:
A) UniswapB) AaveC) CompoundD) Both A and B Scroll down for the answer.
Ranking and September Winners and Losers
2020 Top 10 Rank Lots of movement this month: six out of the Top Ten changed positions in September. BCH climbed one from #6 to #5 and BNB made a big move from #10 to #6. Going the opposite direction were BSV, EOS, and Tezos, dropping one, two, and four places respectively. The big story though, at least for anyone who’s been watching crypto for a while, was the ejection of Litecoin from the Top Ten. In just 30 days, LTC fell five places from #7 to #12. For some context, Litecoin’s absence from the Top Ten is a Top Ten Experiment first. It is also the first time since CoinMarketCap has tracked crypto rankings that Litecoin has not has not held a spot in the Top Ten. Drop outs: after nine months of the experiment, 30% of the cryptos that started 2020 in the Top Ten have dropped out. LTC, EOS, and Tezos have been replaced by ADA,LINK, and most recently, DOT. September Winners – Winner, singular: BNB was the only crypto to finish in the green, finished up +25% for the month, and gained four places in the rankings. A very good month for Binance Coin. September Losers – Tezos was the worst performing crypto of the 2020 Top Ten portfolio, losing nearly a third of its value, down -31% for the month. LTC also had a bad month, losing -24% and dropping out of the Top Ten. Since COVID-19 has hammered the sporting world, let’s be overly competitive and pit these cryptos against each other, shall we? Here’s a table showing which cryptos have the most monthly wins and losses nine months into the 2020 Top Ten Crypto Index Fund Experiment: Wins/Losses ETH is in the lead three monthly Ws, followed by Tether and Tezos with two wins each. Even though it is up +79% since January 1st, 2020, BSV has the most monthly losses: it has been the worst performing crypto of the group four out of the first nine months in 2020.
Overall update – ETH maintains strong lead, followed by BNB. 100% of Top Ten are in positive territory.
Ethereum remains firmly in the lead, up +187% on the year. Thanks to a strong month for BNB and a weak month for Tezos,Binance Coin has overtaken XTZ for second place, and is now up +109% in 2020. Discounting Tether (no offense Big-T), EOS (+4%) is the worst performing cryptocurrency of the 2020 Top Ten Portfolio. 100% of the cryptos in this group are in positive territory.
Total Market Cap for the cryptocurrency sector:
The overall crypto market lost about $35B in September, ending the month up +85% since the beginning of this year’s experiment in January 2020. Despite a rough month, this is the second highest month-end level since the 2020 Top Ten Experiment started nine months ago.
Monthly BitDom - 2020 BitDom ticked up slightly this month, but is still lower than it has been for most of the year. As always, a low BitDom reflects a greater appetite for altcoins. For context, the BitDom range since the beginning of the experiment in January 2020 has been roughly between 57% and 68%.
Overall return on investment since January 1st, 2020:
After an initial $1000 investment on January 1st, the 2020 Top Ten Portfolio is now worth $1,536, up +56%. This is the best performing of the three Top Ten Crypto Index Fund Portfolios, but not by much: the 2019 Top Ten came in at +54% in September. Here’s the month by month ROI of the 2020 Top Ten Experiment, hopefully helpful to maintain perspective and provide an overview as we go along: Monthly ROI - 2020 Top Ten Even during the zombie apocalypse blip in March, the 2020 Top Ten has managed to end every month so far in the green (for a mirror image, check out the all red table you’ll find in the 2018 experiment). The range of monthly ROI for the 2020 Top Ten has been between a low of +7% in March and high of +83% in August. So, how does the 2020 Top Ten Experiment compare to the parallel projects?
Taken together, here’s the bottom bottom bottom line for the three portfolios: After a $3000 investment in the 2018, 2019, and 2020 Top Ten Cryptocurrencies, the combined portfolios are worth $3,340 ($238+ $1,538 +$1,564). That’s up about +11% for the three combined portfolios, compared to +31% last month. Here’s a table to help visualize the progress of the combined portfolios: Combined ROI - UP +11% That’s a +11% gain by buying $1k of the cryptos that happened to be in the Top Ten on January 1st, 2018, 2019, and 2020. But what if I’d gone all in on only one Top Ten crypto for the past three years? While many have come and gone over the life of the experiment, five cryptos have started in Top Ten for all three years: BTC, ETH, XRP, BCH, and LTC (Big L, no pressure, but if you don’t claw yourself back in the Top Ten by January 2021, you’re out of the club). Let’s take a look: Three Year Club At this point in the Experiments, Ethereum (+104%) would have easily returned the most, followed by BTC (+77%). On the other hand, following this approach with XRP, I would have been down nearly a third at -31%. So that’s the Top Ten Crypto Index Fund Experiments snapshot. Let’s take a look at how traditional markets are doing.
Comparison to S&P 500
I’m also tracking the S&P 500 as part of my experiment to have a comparison point to traditional markets. The S&P slipped a bit from an all time high in August and is now up just +5% in 2020. Over the same time period, the 2020 Top Ten Crypto Portfolio is returning about +56%. The initial $1k investment in crypto is now worth about $1,563. That same $1k I put into crypto in January 2020 would be worth $1050 had it been redirected to the S&P 500 instead. That’s a $513 difference on a $1k investment, one of the largest gaps in favor of crypto all year. But that’s just 2020. What about in the longer term? What if I invested in the S&P 500 the same way I did during the first three years of the Top Ten Crypto Index Fund Experiments? What I like to call the world’s slowest dollar cost averaging method? Here are the figures:
$1000 investment in S&P 500 on January 1st, 2018 = $1260 today
$1000 investment in S&P 500 on January 1st, 2019 = $1350 today
$1000 investment in S&P 500 on January 1st, 2020 = $1050 today
So, taken together, here’s the bottom bottom bottom line for a similar approach with the S&P: After three $1,000 investments into an S&P 500 index fund in January 2018, 2019, and 2020, my portfolio would be worth $3,660. That $3,660 is up +22%since January 2018, compared to a +11% gain of the combined Top Ten Crypto Experiment Portfolios over the same period of time. That’s an 11% swing in favor of the S&P 500 and breaks a two month mini-streak of wins from the Top Ten crypto portfolios. For those keeping track or unable to see the table above: that’s seven monthly victories for the S&P vs. two monthly victories for crypto. The largest gap so far was a 22% difference in favor of the S&P back in June.
September saw losses for both traditional and crypto markets, but crypto got hit harder. What can we expect for the rest of 2020? The Neverending Year is entering the final quarter and is not finished with us yet: a lot can and will happen in the remaining months. More volatility is no doubt to come as we enter the final stretch of a truly unpredictable and exhausting year. Buckle up. Stay healthy and take care of yourselves out there. Thanks for reading and for supporting the experiment. I hope you’ve found it helpful. I continue to be committed to seeing this process through and reporting along the way. Feel free to reach out with any questions and stay tuned for progress reports. Keep an eye out for the original 2018 Top Ten Crypto Index Fund Experiment and the 2019 Top Ten Experiment follow up experiment.
Ultimate glossary of crypto currency terms, acronyms and abbreviations
$1,000 invested in Top 10 Cryptos of 2019 now worth $1,260 (UP +26%)
EXPERIMENT - Tracking Top 10 Cryptos of 2019 - Month Eighteen - UP +26% See the full blog post with all the tableshere. tl;dr - Tether (as it's designed to do) holds its ground, all others finish the month in negative territory. Tron finishes June in second place, down -2%. BSV loses nearly 25% of value in June. Overall, since January 2019, BTC in lead, ETH takes over second place, XRP still worst performing. The 2019 Top 10 is up +26% almost equal to the the gains of the S&P 500 over the same time period (+24%).
According to a June article citing unnamed sources, which two FinTech companies are planning to allow their users to buy and sell crypto directly?
A) Paypal and Venmo B) Square and Cashapp C) Robinhood and Revolut D) Sofi and Coinbase Scroll down for the answer.
Ranking and June Winners and Losers
XRP and Stellar slipped one place each in the rankings in June, now at #4 and #14 respectively. EOS fell two spots to #11 and joins Stellar and Tron as the only three cryptos to have dropped out of the 2019 Top Ten since January 1st, 2019. They have been replaced by Binance Coin, Cardano, and newcomer CRO. Tether was the only crypto to move up in rank in June. Not a good sign when Tether is the only crypto to move up. Not a good sign when Tether enters the Top 3. June Winners – Tether. Second comes Tron, which basically held its ground at -2%. June Losers – BSV lost -23% of its value in June making it the worst performing of the 2019 Top Ten portfolio. EOS had a rough month as well, down -17%, dropping two spots in the rankings, and falling out of the Top Ten. If you’re keeping score, here is tally of which coins have the most monthly wins and loses during the first 18 months of the 2019 Top Ten Experiment: Tether is still in the lead with six monthly victories followed by BSV in second place with three. BSV also holds the most monthly losses, finishing last in seven out of eighteen months. The only crypto not to win a month so far? XRP. (In fairness, XRP has also not lost any month yet).
Overall update – BTC in lead, ETH takes over second place, XRP still worst performing
BTC is out front for the second straight month and ETH has taken over second place from BSV. Ahead until April, BSV has simply not keep up with the pack over the last two months. Bitcoin is up +144% since January 2019. The initial $100 investment in BTC is currently worth $249. Eighteen months in, 50% of the 2019 Top Ten cryptos are in the green since the beginning of the experiment. The other five cryptos are either flat or in negative territory, including last place XRP (down -50% since January 2019).
Total Market Cap for the entire cryptocurrency sector:
The crypto market as a whole is down about $20B in June, but still up +106% since January 2019.
BitDom finally wobbled in June, but not by much – it’s been in a very familiar zone for months now, indicating a lack of excitement (or at least a low risk tolerance) for altcoins. Taking a wider view, the Bitcoin Dominance range since the beginning of the experiment in January 2019 has ranged between 50%-70%.
Overall return on investment since January 1st, 2019:
The 2019 Top Ten Portfolio lost almost $175 in June. After the initial $1000 investment, the 2019 group of Top Ten cryptos is worth $1,259. That’s up about +26%. Here’s a look at the ROI over the life of the first 18 months of the 2019 Top Ten Index Fund experiment, month by month: 18 months of ROI, mostly green Unlike the completely red table you’ll see in the 2018 Top Ten Experiment, the 2019 crypto table is almost all green. The first month was the lowest point (-9%), and the highest point (+114%) was May 2019. How does the 2019 Top Ten Index Fund Portfolio compare to the parallel projects?
Taking the three portfolios together, here’s the bottom bottom bottom line: After a $3000 investment in the 2018, 2019, and 2020 Top Ten Cryptocurrencies, the combined portfolios are worth $2,710. That’s down about -10% for the three combined portfolios. Last month that figure was +4%. Better than a few months ago (aka the zombie apocalypse) where it was down -24%, but not yet back at January (+13%) or February (+6%) levels. Here’s a new table to help visualize the progress of the combined portfolios: ROI of all three combined portfolios - not exactly inspiring How do crypto returns compare to traditional markets?
Comparison to S&P 500:
Good thing I’m tracking the S&P 500 as part of my experiment to have a comparison point with other popular investments options. Even with unemployment, protests, and COVID, the US market continued to rebound in June. It’s now up +24% in the last 18 months. The initial $1k investment I put into crypto would be worth $1,240 had it been redirected to the S&P 500 in January 2019. As a reminder (or just scroll up) the 2019 Top Ten portfolio is returning +26% over last 18 months, just about equal to the return of the S&P 500 over the same time period. Just last month the ROI of the 2019 Top Ten crypto portfolio was nearly double the S&P 500 since January 1st, 2019. But what if I took the same world’s-slowest-dollar-cost-averaging/$1,000-per-year-in-January approach with the S&P 500? It would yield the following:
$1000 investment in S&P 500 on January 1st, 2018: +$170
$1000 investment in S&P 500 on January 1st, 2019: +$240
$1000 investment in S&P 500 on January 1st, 2020: -$40
Taken together, here’s the bottom bottom bottom line for a similar approach with the S&P: After three $1,000 investments into an S&P 500 index fund in January 2018, 2019, and 2020, my portfolio would be worth $3,370. That $3,370 is up over+12%since January 2018, compared to the $2,710 value (-10%) of the combined Top Ten Crypto Experiment Portfolios. Here’s another new table that compares the ROI of the combined crypto portfolios to a hypothetical similar approach with the S&P 500: We see in June the largest difference in favor of the S&P since the beginning of 2020: a 22% gap. Compare that February, when there was only a 1% difference in ROI.
Since January 2019, the crypto market as a whole has gained +106% compared to the 2019 Top Ten Crypto Portfolio which has gained +26%. That’s an 80% gap. At this point in the 2019 Experiment, an investor would have done much better picking different cryptos or investing in the entire market instead of focusing only on the 2019 Top Ten. Over the course of the first 18 months of tracking the 2019 Top Ten, there have been instances this was a winning strategy, but the cases have been few and far between. The 2018 Top Ten portfolio, on the other hand, has never outperformed the overall market, at least not in the first thirty months of that Experiment. And for the most recent 2020 Top Ten group? The opposite had been true: the 2020 Top Ten had easily outperformed the overall market 100% of the time…up until the last two months.
As the world continues to battle COVID, traditional markets seem to be recovering. Will crypto make a significant move in the second half of 2020? Final word: Stay safe and take care of each other. Thanks for reading and for supporting the experiment. I hope you’ve found it helpful. I continue to be committed to seeing this process through and reporting along the way. Feel free to reach out with any questions and stay tuned for progress reports. Keep an eye out for the original 2018 Top Ten Crypto Index Fund Experiment and the recently launched 2020 Top Ten Experiment.
And the Answer is…
A) Paypal and Venmo According to a Coindesk report in June, three sources familiar with the matter say that Paypal and Paypal-owned Venmo are planning to allow their users to buy and sell crypto. Paypal has declined to comment.
Summary: Everyone knows that when you give your assets to someone else, they always keep them safe. If this is true for individuals, it is certainly true for businesses. Custodians always tell the truth and manage funds properly. They won't have any interest in taking the assets as an exchange operator would. Auditors tell the truth and can't be misled. That's because organizations that are regulated are incapable of lying and don't make mistakes. First, some background. Here is a summary of how custodians make us more secure: Previously, we might give Alice our crypto assets to hold. There were risks:
Alice might take the assets and disappear.
Alice might spend the assets and pretend that she still has them (fractional model).
Alice might store the assets insecurely and they'll get stolen.
Alice might give the assets to someone else by mistake or by force.
Alice might lose access to the assets.
But "no worries", Alice has a custodian named Bob. Bob is dressed in a nice suit. He knows some politicians. And he drives a Porsche. "So you have nothing to worry about!". And look at all the benefits we get:
Alice can't take the assets and disappear (unless she asks Bob or never gives them to Bob).
Alice can't spend the assets and pretend that she still has them. (Unless she didn't give them to Bob or asks him for them.)
Alice can't store the assets insecurely so they get stolen. (After all - she doesn't have any control over the withdrawal process from any of Bob's systems, right?)
Alice can't give the assets to someone else by mistake or by force. (Bob will stop her, right Bob?)
Alice can't lose access to the funds. (She'll always be present, sane, and remember all secrets, right?)
See - all problems are solved! All we have to worry about now is:
Bob might take the assets and disappear.
Bob might spend the assets and pretend that he still has them (fractional model).
Bob might store the assets insecurely and they'll get stolen.
Bob might give the assets to someone else by mistake or by force.
Bob might lose access to the assets.
It's pretty simple. Before we had to trust Alice. Now we only have to trust Alice, Bob, and all the ways in which they communicate. Just think of how much more secure we are! "On top of that", Bob assures us, "we're using a special wallet structure". Bob shows Alice a diagram. "We've broken the balance up and store it in lots of smaller wallets. That way", he assures her, "a thief can't take it all at once". And he points to a historic case where a large sum was taken "because it was stored in a single wallet... how stupid". "Very early on, we used to have all the crypto in one wallet", he said, "and then one Christmas a hacker came and took it all. We call him the Grinch. Now we individually wrap each crypto and stick it under a binary search tree. The Grinch has never been back since." "As well", Bob continues, "even if someone were to get in, we've got insurance. It covers all thefts and even coercion, collusion, and misplaced keys - only subject to the policy terms and conditions." And with that, he pulls out a phone-book sized contract and slams it on the desk with a thud. "Yep", he continues, "we're paying top dollar for one of the best policies in the country!" "Can I read it?' Alice asks. "Sure," Bob says, "just as soon as our legal team is done with it. They're almost through the first chapter." He pauses, then continues. "And can you believe that sales guy Mike? He has the same year Porsche as me. I mean, what are the odds?" "Do you use multi-sig?", Alice asks. "Absolutely!" Bob replies. "All our engineers are fully trained in multi-sig. Whenever we want to set up a new wallet, we generate 2 separate keys in an air-gapped process and store them in this proprietary system here. Look, it even requires the biometric signature from one of our team members to initiate any withdrawal." He demonstrates by pressing his thumb into the display. "We use a third-party cloud validation API to match the thumbprint and authorize each withdrawal. The keys are also backed up daily to an off-site third-party." "Wow that's really impressive," Alice says, "but what if we need access for a withdrawal outside of office hours?" "Well that's no issue", Bob says, "just send us an email, call, or text message and we always have someone on staff to help out. Just another part of our strong commitment to all our customers!" "What about Proof of Reserve?", Alice asks. "Of course", Bob replies, "though rather than publish any blockchain addresses or signed transaction, for privacy we just do a SHA256 refactoring of the inverse hash modulus for each UTXO nonce and combine the smart contract coefficient consensus in our hyperledger lightning node. But it's really simple to use." He pushes a button and a large green checkmark appears on a screen. "See - the algorithm ran through and reserves are proven." "Wow", Alice says, "you really know your stuff! And that is easy to use! What about fiat balances?" "Yeah, we have an auditor too", Bob replies, "Been using him for a long time so we have quite a strong relationship going! We have special books we give him every year and he's very efficient! Checks the fiat, crypto, and everything all at once!" "We used to have a nice offline multi-sig setup we've been using without issue for the past 5 years, but I think we'll move all our funds over to your facility," Alice says. "Awesome", Bob replies, "Thanks so much! This is perfect timing too - my Porsche got a dent on it this morning. We have the paperwork right over here." "Great!", Alice replies. And with that, Alice gets out her pen and Bob gets the contract. "Don't worry", he says, "you can take your crypto-assets back anytime you like - just subject to our cancellation policy. Our annual management fees are also super low and we don't adjust them often". How many holes have to exist for your funds to get stolen? Just one. Why are we taking a powerful offline multi-sig setup, widely used globally in hundreds of different/lacking regulatory environments with 0 breaches to date, and circumventing it by a demonstrably weak third party layer? And paying a great expense to do so? If you go through the list of breaches in the past 2 years to highly credible organizations, you go through the list of major corporate frauds (only the ones we know about), you go through the list of all the times platforms have lost funds, you go through the list of times and ways that people have lost their crypto from identity theft, hot wallet exploits, extortion, etc... and then you go through this custodian with a fine-tooth comb and truly believe they have value to add far beyond what you could, sticking your funds in a wallet (or set of wallets) they control exclusively is the absolute worst possible way to take advantage of that security. The best way to add security for crypto-assets is to make a stronger multi-sig. With one custodian, what you are doing is giving them your cryptocurrency and hoping they're honest, competent, and flawlessly secure. It's no different than storing it on a really secure exchange. Maybe the insurance will cover you. Didn't work for Bitpay in 2015. Didn't work for Yapizon in 2017. Insurance has never paid a claim in the entire history of cryptocurrency. But maybe you'll get lucky. Maybe your exact scenario will buck the trend and be what they're willing to cover. After the large deductible and hopefully without a long and expensive court battle. And you want to advertise this increase in risk, the lapse of judgement, an accident waiting to happen, as though it's some kind of benefit to customers ("Free institutional-grade storage for your digital assets.")? And then some people are writing to the OSC that custodians should be mandatory for all funds on every exchange platform? That this somehow will make Canadians as a whole more secure or better protected compared with standard air-gapped multi-sig? On what planet? Most of the problems in Canada stemmed from one thing - a lack of transparency. If Canadians had known what a joke Quadriga was - it wouldn't have grown to lose $400m from hard-working Canadians from coast to coast to coast. And Gerald Cotten would be in jail, not wherever he is now (at best, rotting peacefully). EZ-BTC and mister Dave Smilie would have been a tiny little scam to his friends, not a multi-million dollar fraud. Einstein would have got their act together or been shut down BEFORE losing millions and millions more in people's funds generously donated to criminals. MapleChange wouldn't have even been a thing. And maybe we'd know a little more about CoinTradeNewNote - like how much was lost in there. Almost all of the major losses with cryptocurrency exchanges involve deception with unbacked funds. So it's great to see transparency reports from BitBuy and ShakePay where someone independently verified the backing. The only thing we don't have is:
ANY CERTAINTY BALANCES WEREN'T EXCLUDED. Quadriga's largest account was $70m. 80% of funds are in 20% of accounts (Pareto principle). All it takes is excluding a few really large accounts - and nobody's the wiser. A fractional platform can easily pass any audit this way.
ANY VISIBILITY WHATSOEVER INTO THE CUSTODIANS. BitBuy put out their report before moving all the funds to their custodian and ShakePay apparently can't even tell us who the custodian is. That's pretty important considering that basically all of the funds are now stored there.
ANY IDEA ABOUT THE OTHER EXCHANGES. In order for this to be effective, it has to be the norm. It needs to be "unusual" not to know. If obscurity is the norm, then it's super easy for people like Gerald Cotten and Dave Smilie to blend right in.
It's not complicated to validate cryptocurrency assets. They need to exist, they need to be spendable, and they need to cover the total balances. There are plenty of credible people and firms across the country that have the capacity to reasonably perform this validation. Having more frequent checks by different, independent, parties who publish transparent reports is far more valuable than an annual check by a single "more credible/official" party who does the exact same basic checks and may or may not publish anything. Here's an example set of requirements that could be mandated:
First report within 1 month of launching, another within 3 months, and further reports at minimum every 6 months thereafter.
No auditor can be repeated within a 12 month period.
All reports must be public, identifying the auditor and the full methodology used.
All auditors must be independent of the firm being audited with no conflict of interest.
Reports must include the percentage of each asset backed, and how it's backed.
The auditor publishes a hash list, which lists a hash of each customer's information and balances that were included. Hash is one-way encryption so privacy is fully preserved. Every customer can use this to have 100% confidence they were included.
If we want more extensive requirements on audits, these should scale upward based on the total assets at risk on the platform, and whether the platform has loaned their assets out.
There are ways to structure audits such that neither crypto assets nor customer information are ever put at risk, and both can still be properly validated and publicly verifiable. There are also ways to structure audits such that they are completely reasonable for small platforms and don't inhibit innovation in any way. By making the process as reasonable as possible, we can completely eliminate any reason/excuse that an honest platform would have for not being audited. That is arguable far more important than any incremental improvement we might get from mandating "the best of the best" accountants. Right now we have nothing mandated and tons of Canadians using offshore exchanges with no oversight whatsoever. Transparency does not prove crypto assets are safe. CoinTradeNewNote, Flexcoin ($600k), and Canadian Bitcoins ($100k) are examples where crypto-assets were breached from platforms in Canada. All of them were online wallets and used no multi-sig as far as any records show. This is consistent with what we see globally - air-gapped multi-sig wallets have an impeccable record, while other schemes tend to suffer breach after breach. We don't actually know how much CoinTrader lost because there was no visibility. Rather than publishing details of what happened, the co-founder of CoinTrader silently moved on to found another platform - the "most trusted way to buy and sell crypto" - a site that has no information whatsoever (that I could find) on the storage practices and a FAQ advising that “[t]rading cryptocurrency is completely safe” and that having your own wallet is “entirely up to you! You can certainly keep cryptocurrency, or fiat, or both, on the app.” Doesn't sound like much was learned here, which is really sad to see. It's not that complicated or unreasonable to set up a proper hardware wallet. Multi-sig can be learned in a single course. Something the equivalent complexity of a driver's license test could prevent all the cold storage exploits we've seen to date - even globally. Platform operators have a key advantage in detecting and preventing fraud - they know their customers far better than any custodian ever would. The best job that custodians can do is to find high integrity individuals and train them to form even better wallet signatories. Rather than mandating that all platforms expose themselves to arbitrary third party risks, regulations should center around ensuring that all signatories are background-checked, properly trained, and using proper procedures. We also need to make sure that signatories are empowered with rights and responsibilities to reject and report fraud. They need to know that they can safely challenge and delay a transaction - even if it turns out they made a mistake. We need to have an environment where mistakes are brought to the surface and dealt with. Not one where firms and people feel the need to hide what happened. In addition to a knowledge-based test, an auditor can privately interview each signatory to make sure they're not in coercive situations, and we should make sure they can freely and anonymously report any issues without threat of retaliation. A proper multi-sig has each signature held by a separate person and is governed by policies and mutual decisions instead of a hierarchy. It includes at least one redundant signature. For best results, 3of4, 3of5, 3of6, 4of5, 4of6, 4of7, 5of6, or 5of7. History has demonstrated over and over again the risk of hot wallets even to highly credible organizations. Nonetheless, many platforms have hot wallets for convenience. While such losses are generally compensated by platforms without issue (for example Poloniex, Bitstamp, Bitfinex, Gatecoin, Coincheck, Bithumb, Zaif, CoinBene, Binance, Bitrue, Bitpoint, Upbit, VinDAX, and now KuCoin), the public tends to focus more on cases that didn't end well. Regardless of what systems are employed, there is always some level of risk. For that reason, most members of the public would prefer to see third party insurance. Rather than trying to convince third party profit-seekers to provide comprehensive insurance and then relying on an expensive and slow legal system to enforce against whatever legal loopholes they manage to find each and every time something goes wrong, insurance could be run through multiple exchange operators and regulators, with the shared interest of having a reputable industry, keeping costs down, and taking care of Canadians. For example, a 4 of 7 multi-sig insurance fund held between 5 independent exchange operators and 2 regulatory bodies. All Canadian exchanges could pay premiums at a set rate based on their needed coverage, with a higher price paid for hot wallet coverage (anything not an air-gapped multi-sig cold wallet). Such a model would be much cheaper to manage, offer better coverage, and be much more reliable to payout when needed. The kind of coverage you could have under this model is unheard of. You could even create something like the CDIC to protect Canadians who get their trading accounts hacked if they can sufficiently prove the loss is legitimate. In cases of fraud, gross negligence, or insolvency, the fund can be used to pay affected users directly (utilizing the last transparent balance report in the worst case), something which private insurance would never touch. While it's recommended to have official policies for coverage, a model where members vote would fully cover edge cases. (Could be similar to the Supreme Court where justices vote based on case law.) Such a model could fully protect all Canadians across all platforms. You can have a fiat coverage governed by legal agreements, and crypto-asset coverage governed by both multi-sig and legal agreements. It could be practical, affordable, and inclusive. Now, we are at a crossroads. We can happily give up our freedom, our innovation, and our money. We can pay hefty expenses to auditors, lawyers, and regulators year after year (and make no mistake - this cost will grow to many millions or even billions as the industry grows - and it will be borne by all Canadians on every platform because platforms are not going to eat up these costs at a loss). We can make it nearly impossible for any new platform to enter the marketplace, forcing Canadians to use the same stagnant platforms year after year. We can centralize and consolidate the entire industry into 2 or 3 big players and have everyone else fail (possibly to heavy losses of users of those platforms). And when a flawed security model doesn't work and gets breached, we can make it even more complicated with even more people in suits making big money doing the job that blockchain was supposed to do in the first place. We can build a system which is so intertwined and dependent on big government, traditional finance, and central bankers that it's future depends entirely on that of the fiat system, of fractional banking, and of government bail-outs. If we choose this path, as history has shown us over and over again, we can not go back, save for revolution. Our children and grandchildren will still be paying the consequences of what we decided today. Or, we can find solutions that work. We can maintain an open and innovative environment while making the adjustments we need to make to fully protect Canadian investors and cryptocurrency users, giving easy and affordable access to cryptocurrency for all Canadians on the platform of their choice, and creating an environment in which entrepreneurs and problem solvers can bring those solutions forward easily. None of the above precludes innovation in any way, or adds any unreasonable cost - and these three policies would demonstrably eliminate or resolve all 109 historic cases as studied here - that's every single case researched so far going back to 2011. It includes every loss that was studied so far not just in Canada but globally as well. Unfortunately, finding answers is the least challenging part. Far more challenging is to get platform operators and regulators to agree on anything. My last post got no response whatsoever, and while the OSC has told me they're happy for industry feedback, I believe my opinion alone is fairly meaningless. This takes the whole community working together to solve. So please let me know your thoughts. Please take the time to upvote and share this with people. Please - let's get this solved and not leave it up to other people to do. Facts/background/sources (skip if you like):
The inspiration for the paragraph about splitting wallets was an actual quote from a Canadian company providing custodial services in response to the OSC consultation paper: "We believe that it will be in the in best interests of investors to prohibit pooled crypto assets or ‘floats’. Most Platforms pool assets, citing reasons of practicality and expense. The recent hack of the world’s largest Platform – Binance – demonstrates the vulnerability of participants’ assets when such concessions are made. In this instance, the Platform’s entire hot wallet of Bitcoins, worth over $40 million, was stolen, facilitated in part by the pooling of client crypto assets." "the maintenance of participants (and Platform) crypto assets across multiple wallets distributes the related risk and responsibility of security - reducing the amount of insurance coverage required and making insurance coverage more readily obtainable". For the record, their reply also said nothing whatsoever about multi-sig or offline storage.
In addition to the fact that the $40m hack represented only one "hot wallet" of Binance, and they actually had the vast majority of assets in other wallets (including mostly cold wallets), multiple real cases have clearly demonstrated that risk is still present with multiple wallets. Bitfinex, VinDAX, Bithumb, Altsbit, BitPoint, Cryptopia, and just recently KuCoin all had multiple wallets breached all at the same time, and may represent a significantly larger impact on customers than the Binance breach which was fully covered by Binance. To represent that simply having multiple separate wallets under the same security scheme is a comprehensive way to reduce risk is just not true.
Private insurance has historically never covered a single loss in the cryptocurrency space (at least, not one that I was able to find), and there are notable cases where massive losses were not covered by insurance. Bitpay in 2015 and Yapizon in 2017 both had insurance policies that didn't pay out during the breach, even after a lengthly court process. The same insurance that ShakePay is presently using (and announced to much fanfare) was describe by their CEO himself as covering “physical theft of the media where the private keys are held,” which is something that has never historically happened. As was said with regard to the same policy in 2018 - “I don’t find it surprising that Lloyd’s is in this space,” said Johnson, adding that to his mind the challenge for everybody is figuring out how to structure these policies so that they are actually protective. “You can create an insurance policy that protects no one – you know there are so many caveats to the policy that it’s not super protective.”
The most profitable policy for a private insurance company is one with the most expensive premiums that they never have to pay a claim on. They have no inherent incentive to take care of people who lost funds. It's "cheaper" to take the reputational hit and fight the claim in court. The more money at stake, the more the insurance provider is incentivized to avoid payout. They're not going to insure the assets unless they have reasonable certainty to make a profit by doing so, and they're not going to pay out a massive sum unless it's legally forced. Private insurance is always structured to be maximally profitable to the insurance provider.
The circumvention of multi-sig was a key factor in the massive Bitfinex hack of over $60m of bitcoin, which today still sits being slowly used and is worth over $3b. While Bitfinex used a qualified custodian Bitgo, which was and still is active and one of the industry leaders of custodians, and they set up 2 of 3 multi-sig wallets, the entire system was routed through Bitfinex, such that Bitfinex customers could initiate the withdrawals in a "hot" fashion. This feature was also a hit with the hacker. The multi-sig was fully circumvented.
Bitpay in 2015 was another example of a breach that stole 5,000 bitcoins. This happened not through the exploit of any system in Bitpay, but because the CEO of a company they worked with got their computer hacked and the hackers were able to request multiple bitcoin purchases, which Bitpay honoured because they came from the customer's computer legitimately. Impersonation is a very common tactic used by fraudsters, and methods get more extreme all the time.
A notable case in Canada was the Canadian Bitcoins exploit. Funds were stored on a server in a Rogers Data Center, and the attendee was successfully convinced to reboot the server "in safe mode" with a simple phone call, thus bypassing the extensive security and enabling the theft.
The very nature of custodians circumvents multi-sig. This is because custodians are not just having to secure the assets against some sort of physical breach but against any form of social engineering, modification of orders, fraudulent withdrawal attempts, etc... If the security practices of signatories in a multi-sig arrangement are such that the breach risk of one signatory is 1 in 100, the requirement of 3 independent signatures makes the risk of theft 1 in 1,000,000. Since hackers tend to exploit the weakest link, a comparable custodian has to make the entry and exit points of their platform 10,000 times more secure than one of those signatories to provide equivalent protection. And if the signatories beef up their security by only 10x, the risk is now 1 in 1,000,000,000. The custodian has to be 1,000,000 times more secure. The larger and more complex a system is, the more potential vulnerabilities exist in it, and the fewer people can understand how the system works when performing upgrades. Even if a system is completely secure today, one has to also consider how that system might evolve over time or work with different members.
By contrast, offline multi-signature solutions have an extremely solid record, and in the entire history of cryptocurrency exchange incidents which I've studied (listed here), there has only been one incident (796 exchange in 2015) involving an offline multi-signature wallet. It happened because the customer's bitcoin address was modified by hackers, and the amount that was stolen ($230k) was immediately covered by the exchange operators. Basically, the platform operators were tricked into sending a legitimate withdrawal request to the wrong address because hackers exploited their platform to change that address. Such an issue would not be prevented in any way by the use of a custodian, as that custodian has no oversight whatsoever to the exchange platform. It's practical for all exchange operators to test large withdrawal transactions as a general policy, regardless of what model is used, and general best practice is to diagnose and fix such an exploit as soon as it occurs.
False promises on the backing of funds played a huge role in the downfall of Quadriga, and it's been exposed over and over again (MyCoin, PlusToken, Bitsane, Bitmarket, EZBTC, IDAX). Even today, customers have extremely limited certainty on whether their funds in exchanges are actually being backed or how they're being backed. While this issue is not unique to cryptocurrency exchanges, the complexity of the technology and the lack of any regulation or standards makes problems more widespread, and there is no "central bank" to come to the rescue as in the 2008 financial crisis or during the great depression when "9,000 banks failed".
In addition to fraudulent operations, the industry is full of cases where operators have suffered breaches and not reported them. Most recently, Einstein was the largest case in Canada, where ongoing breaches and fraud were perpetrated against the platform for multiple years and nobody found out until the platform collapsed completely. While fraud and breaches suck to deal with, they suck even more when not dealt with. Lack of visibility played a role in the largest downfalls of Mt. Gox, Cryptsy, and Bitgrail. In some cases, platforms are alleged to have suffered a hack and keep operating without admitting it at all, such as CoinBene.
It surprises some to learn that a cryptographic solution has already existed since 2013, and gained widespread support in 2014 after Mt. Gox. Proof of Reserves is a full cryptographic proof that allows any customer using an exchange to have complete certainty that their crypto-assets are fully backed by the platform in real-time. This is accomplished by proving that assets exist on the blockchain, are spendable, and fully cover customer deposits. It does not prove safety of assets or backing of fiat assets.
If we didn't care about privacy at all, a platform could publish their wallet addresses, sign a partial transaction, and put the full list of customer information and balances out publicly. Customers can each check that they are on the list, that the balances are accurate, that the total adds up, and that it's backed and spendable on the blockchain. Platforms who exclude any customer take a risk because that customer can easily check and see they were excluded. So together with all customers checking, this forms a full proof of backing of all crypto assets.
However, obviously customers care about their private information being published. Therefore, a hash of the information can be provided instead. Hash is one-way encryption. The hash allows the customer to validate inclusion (by hashing their own known information), while anyone looking at the list of hashes cannot determine the private information of any other user. All other parts of the scheme remain fully intact. A model like this is in use on the exchange CoinFloor in the UK.
A Merkle tree can provide even greater privacy. Instead of a list of balances, the balances are arranged into a binary tree. A customer starts from their node, and works their way to the top of the tree. For example, they know they have 5 BTC, they plus 1 other customer hold 7 BTC, they plus 2-3 other customers hold 17 BTC, etc... until they reach the root where all the BTC are represented. Thus, there is no way to find the balances of other individual customers aside from one unidentified customer in this case.
Proposals such as this had the backing of leaders in the community including Nic Carter, Greg Maxwell, and Zak Wilcox. Substantial and significant effort started back in 2013, with massive popularity in 2014. But what became of that effort? Very little. Exchange operators continue to refuse to give visibility. Despite the fact this information can often be obtained through trivial blockchain analysis, no Canadian platform has ever provided any wallet addresses publicly. As described by the CEO of Newton "For us to implement some kind of realtime Proof of Reserves solution, which I'm not opposed to, it would have to ... Preserve our users' privacy, as well as our own. Some kind of zero-knowledge proof". Kraken describes here in more detail why they haven't implemented such a scheme. According to professor Eli Ben-Sasson, when he spoke with exchanges, none were interested in implementing Proof of Reserves.
And yet, Kraken's places their reasoning on a page called "Proof of Reserves". More recently, both BitBuy and ShakePay have released reports titled "Proof of Reserves and Security Audit". Both reports contain disclaimers against being audits. Both reports trust the customer list provided by the platform, leaving the open possibility that multiple large accounts could have been excluded from the process. Proof of Reserves is a blockchain validation where customers see the wallets on the blockchain. The report from Kraken is 5 years old, but they leave it described as though it was just done a few weeks ago. And look at what they expect customers to do for validation. When firms represent something being "Proof of Reserve" when it's not, this is like a farmer growing fruit with pesticides and selling it in a farmers market as organic produce - except that these are people's hard-earned life savings at risk here. Platforms are misrepresenting the level of visibility in place and deceiving the public by their misuse of this term. They haven't proven anything.
Fraud isn't a problem that is unique to cryptocurrency. Fraud happens all the time. Enron, WorldCom, Nortel, Bear Stearns, Wells Fargo, Moser Baer, Wirecard, Bre-X, and Nicola are just some of the cases where frauds became large enough to become a big deal (and there are so many countless others). These all happened on 100% reversible assets despite regulations being in place. In many of these cases, the problems happened due to the over-complexity of the financial instruments. For example, Enron had "complex financial statements [which] were confusing to shareholders and analysts", creating "off-balance-sheet vehicles, complex financing structures, and deals so bewildering that few people could understand them". In cryptocurrency, we are often combining complex financial products with complex technologies and verification processes. We are naïve if we think problems like this won't happen. It is awkward and uncomfortable for many people to admit that they don't know how something works. If we want "money of the people" to work, the solutions have to be simple enough that "the people" can understand them, not so confusing that financial professionals and technology experts struggle to use or understand them.
For those who question the extent to which an organization can fool their way into a security consultancy role, HB Gary should be a great example to look at. Prior to trying to out anonymous, HB Gary was being actively hired by multiple US government agencies and others in the private sector (with glowing testimonials). The published articles and hosted professional security conferences. One should also look at this list of data breaches from the past 2 years. Many of them are large corporations, government entities, and technology companies. These are the ones we know about. Undoubtedly, there are many more that we do not know about. If HB Gary hadn't been "outted" by anonymous, would we have known they were insecure? If the same breach had happened outside of the public spotlight, would it even have been reported? Or would HB Gary have just deleted the Twitter posts, brought their site back up, done a couple patches, and kept on operating as though nothing had happened?
In the case of Quadriga, the facts are clear. Despite past experience with platforms such as MapleChange in Canada and others around the world, no guidance or even the most basic of a framework was put in place by regulators. By not clarifying any sort of legal framework, regulators enabled a situation where a platform could be run by former criminal Mike Dhanini/Omar Patryn, and where funds could be held fully unchecked by one person. At the same time, the lack of regulation deterred legitimate entities from running competing platforms and Quadriga was granted a money services business license for multiple years of operation, which gave the firm the appearance of legitimacy. Regulators did little to protect Canadians despite Quadriga failing to file taxes from 2016 onward. The entire administrative team had resigned and this was public knowledge. Many people had suspicions of what was going on, including Ryan Mueller, who forwarded complaints to the authorities. These were ignored, giving Gerald Cotten the opportunity to escape without justice.
There are multiple issues with the SOC II model including the prohibitive cost (you have to find a third party accounting firm and the prices are not even listed publicly on any sites), the requirement of operating for a year (impossible for new platforms), and lack of any public visibility (SOC II are private reports that aren't shared outside the people in suits).
Securities frameworks are expensive. Sarbanes-Oxley is estimated to cost $5.1 million USD/yr for the average Fortune 500 company in the United States. Since "Fortune 500" represents the top 500 companies, that means well over $2.55 billion USD (~$3.4 billion CAD) is going to people in suits. Isn't the problem of trust and verification the exact problem that the blockchain is supposed to solve?
To use Quadriga as justification for why custodians or SOC II or other advanced schemes are needed for platforms is rather silly, when any framework or visibility at all, or even the most basic of storage policies, would have prevented the whole thing. It's just an embarrassment.
We are now seeing regulators take strong action. CoinSquare in Canada with multi-million dollar fines. BitMex from the US, criminal charges and arrests. OkEx, with full disregard of withdrawals and no communication. Who's next?
We have a unique window today where we can solve these problems, and not permanently destroy innovation with unreasonable expectations, but we need to act quickly. This is a unique historic time that will never come again.
Hey all, I've been researching coins since 2017 and have gone through 100s of them in the last 3 years. I got introduced to blockchain via Bitcoin of course, analyzed Ethereum thereafter and from that moment I have a keen interest in smart contact platforms. I’m passionate about Ethereum but I find Zilliqa to have a better risk-reward ratio. Especially because Zilliqa has found an elegant balance between being secure, decentralized and scalable in my opinion.
Below I post my analysis of why from all the coins I went through I’m most bullish on Zilliqa (yes I went through Tezos, EOS, NEO, VeChain, Harmony, Algorand, Cardano etc.). Note that this is not investment advice and although it's a thorough analysis there is obviously some bias involved. Looking forward to what you all think!
Fun fact: the name Zilliqa is a play on ‘silica’ silicon dioxide which means “Silicon for the high-throughput consensus computer.”
This post is divided into (i) Technology, (ii) Business & Partnerships, and (iii) Marketing & Community. I’ve tried to make the technology part readable for a broad audience. If you’ve ever tried understanding the inner workings of Bitcoin and Ethereum you should be able to grasp most parts. Otherwise, just skim through and once you are zoning out head to the next part.
Technology and some more:
The technology is one of the main reasons why I’m so bullish on Zilliqa. First thing you see on their website is: “Zilliqa is a high-performance, high-security blockchain platform for enterprises and next-generation applications.” These are some bold statements.
Before we deep dive into the technology let’s take a step back in time first as they have quite the history. The initial research paper from which Zilliqa originated dates back to August 2016: Elastico: A Secure Sharding Protocol For Open Blockchains where Loi Luu (Kyber Network) is one of the co-authors. Other ideas that led to the development of what Zilliqa has become today are: Bitcoin-NG, collective signing CoSi, ByzCoin and Omniledger.
The technical white paper was made public in August 2017 and since then they have achieved everything stated in the white paper and also created their own open source intermediate level smart contract language called Scilla (functional programming language similar to OCaml) too.
Mainnet is live since the end of January 2019 with daily transaction rates growing continuously. About a week ago mainnet reached 5 million transactions, 500.000+ addresses in total along with 2400 nodes keeping the network decentralized and secure. Circulating supply is nearing 11 billion and currently only mining rewards are left. The maximum supply is 21 billion with annual inflation being 7.13% currently and will only decrease with time.
Zilliqa realized early on that the usage of public cryptocurrencies and smart contracts were increasing but decentralized, secure, and scalable alternatives were lacking in the crypto space. They proposed to apply sharding onto a public smart contract blockchain where the transaction rate increases almost linear with the increase in the amount of nodes. More nodes = higher transaction throughput and increased decentralization. Sharding comes in many forms and Zilliqa uses network-, transaction- and computational sharding. Network sharding opens up the possibility of using transaction- and computational sharding on top. Zilliqa does not use state sharding for now. We’ll come back to this later.
Before we continue dissecting how Zilliqa achieves such from a technological standpoint it’s good to keep in mind that a blockchain being decentralised and secure and scalable is still one of the main hurdles in allowing widespread usage of decentralised networks. In my opinion this needs to be solved first before blockchains can get to the point where they can create and add large scale value. So I invite you to read the next section to grasp the underlying fundamentals. Because after all these premises need to be true otherwise there isn’t a fundamental case to be bullish on Zilliqa, right?
Down the rabbit hole
How have they achieved this? Let’s define the basics first: key players on Zilliqa are the users and the miners. A user is anybody who uses the blockchain to transfer funds or run smart contracts. Miners are the (shard) nodes in the network who run the consensus protocol and get rewarded for their service in Zillings (ZIL). The mining network is divided into several smaller networks called shards, which is also referred to as ‘network sharding’. Miners subsequently are randomly assigned to a shard by another set of miners called DS (Directory Service) nodes. The regular shards process transactions and the outputs of these shards are eventually combined by the DS shard as they reach consensus on the final state. More on how these DS shards reach consensus (via pBFT) will be explained later on.
The Zilliqa network produces two types of blocks: DS blocks and Tx blocks. One DS Block consists of 100 Tx Blocks. And as previously mentioned there are two types of nodes concerned with reaching consensus: shard nodes and DS nodes. Becoming a shard node or DS node is being defined by the result of a PoW cycle (Ethash) at the beginning of the DS Block. All candidate mining nodes compete with each other and run the PoW (Proof-of-Work) cycle for 60 seconds and the submissions achieving the highest difficulty will be allowed on the network. And to put it in perspective: the average difficulty for one DS node is ~ 2 Th/s equaling 2.000.000 Mh/s or 55 thousand+ GeForce GTX 1070 / 8 GB GPUs at 35.4 Mh/s. Each DS Block 10 new DS nodes are allowed. And a shard node needs to provide around 8.53 GH/s currently (around 240 GTX 1070s). Dual mining ETH/ETC and ZIL is possible and can be done via mining software such as Phoenix and Claymore. There are pools and if you have large amounts of hashing power (Ethash) available you could mine solo.
The PoW cycle of 60 seconds is a peak performance and acts as an entry ticket to the network. The entry ticket is called a sybil resistance mechanism and makes it incredibly hard for adversaries to spawn lots of identities and manipulate the network with these identities. And after every 100 Tx Blocks which corresponds to roughly 1,5 hour this PoW process repeats. In between these 1,5 hour, no PoW needs to be done meaning Zilliqa’s energy consumption to keep the network secure is low. For more detailed information on how mining works click here. Okay, hats off to you. You have made it this far. Before we go any deeper down the rabbit hole we first must understand why Zilliqa goes through all of the above technicalities and understand a bit more what a blockchain on a more fundamental level is. Because the core of Zilliqa’s consensus protocol relies on the usage of pBFT (practical Byzantine Fault Tolerance) we need to know more about state machines and their function. Navigate to Viewblock, a Zilliqa block explorer, and just come back to this article. We will use this site to navigate through a few concepts.
We have established that Zilliqa is a public and distributed blockchain. Meaning that everyone with an internet connection can send ZILs, trigger smart contracts, etc. and there is no central authority who fully controls the network. Zilliqa and other public and distributed blockchains (like Bitcoin and Ethereum) can also be defined as state machines.
Taking the liberty of paraphrasing examples and definitions given by Samuel Brooks’ medium article, he describes the definition of a blockchain (like Zilliqa) as: “A peer-to-peer, append-only datastore that uses consensus to synchronize cryptographically-secure data”.
Next, he states that: "blockchains are fundamentally systems for managing valid state transitions”. For some more context, I recommend reading the whole medium article to get a better grasp of the definitions and understanding of state machines. Nevertheless, let’s try to simplify and compile it into a single paragraph. Take traffic lights as an example: all its states (red, amber, and green) are predefined, all possible outcomes are known and it doesn’t matter if you encounter the traffic light today or tomorrow. It will still behave the same. Managing the states of a traffic light can be done by triggering a sensor on the road or pushing a button resulting in one traffic lights’ state going from green to red (via amber) and another light from red to green.
With public blockchains like Zilliqa, this isn’t so straightforward and simple. It started with block #1 almost 1,5 years ago and every 45 seconds or so a new block linked to the previous block is being added. Resulting in a chain of blocks with transactions in it that everyone can verify from block #1 to the current #647.000+ block. The state is ever changing and the states it can find itself in are infinite. And while the traffic light might work together in tandem with various other traffic lights, it’s rather insignificant comparing it to a public blockchain. Because Zilliqa consists of 2400 nodes who need to work together to achieve consensus on what the latest valid state is while some of these nodes may have latency or broadcast issues, drop offline or are deliberately trying to attack the network, etc.
Now go back to the Viewblock page take a look at the amount of transaction, addresses, block and DS height and then hit refresh. Obviously as expected you see new incremented values on one or all parameters. And how did the Zilliqa blockchain manage to transition from a previous valid state to the latest valid state? By using pBFT to reach consensus on the latest valid state.
After having obtained the entry ticket, miners execute pBFT to reach consensus on the ever-changing state of the blockchain. pBFT requires a series of network communication between nodes, and as such there is no GPU involved (but CPU). Resulting in the total energy consumed to keep the blockchain secure, decentralized and scalable being low.
pBFT stands for practical Byzantine Fault Tolerance and is an optimization on the Byzantine Fault Tolerant algorithm. To quote Blockonomi: “In the context of distributed systems, Byzantine Fault Tolerance is the ability of a distributed computer network to function as desired and correctly reach a sufficient consensus despite malicious components (nodes) of the system failing or propagating incorrect information to other peers.” Zilliqa is such a distributed computer network and depends on the honesty of the nodes (shard and DS) to reach consensus and to continuously update the state with the latest block. If pBFT is a new term for you I can highly recommend the Blockonomi article.
The idea of pBFT was introduced in 1999 - one of the authors even won a Turing award for it - and it is well researched and applied in various blockchains and distributed systems nowadays. If you want more advanced information than the Blockonomi link provides click here. And if you’re in between Blockonomi and the University of Singapore read the Zilliqa Design Story Part 2 dating from October 2017. Quoting from the Zilliqa tech whitepaper: “pBFT relies upon a correct leader (which is randomly selected) to begin each phase and proceed when the sufficient majority exists. In case the leader is byzantine it can stall the entire consensus protocol. To address this challenge, pBFT offers a view change protocol to replace the byzantine leader with another one.”
pBFT can tolerate ⅓ of the nodes being dishonest (offline counts as Byzantine = dishonest) and the consensus protocol will function without stalling or hiccups. Once there are more than ⅓ of dishonest nodes but no more than ⅔ the network will be stalled and a view change will be triggered to elect a new DS leader. Only when more than ⅔ of the nodes are dishonest (66%) double-spend attacks become possible.
If the network stalls no transactions can be processed and one has to wait until a new honest leader has been elected. When the mainnet was just launched and in its early phases, view changes happened regularly. As of today the last stalling of the network - and view change being triggered - was at the end of October 2019.
Another benefit of using pBFT for consensus besides low energy is the immediate finality it provides. Once your transaction is included in a block and the block is added to the chain it’s done. Lastly, take a look at this article where three types of finality are being defined: probabilistic, absolute and economic finality. Zilliqa falls under the absolute finality (just like Tendermint for example). Although lengthy already we skipped through some of the inner workings from Zilliqa’s consensus: read the Zilliqa Design Story Part 3 and you will be close to having a complete picture on it. Enough about PoW, sybil resistance mechanism, pBFT, etc. Another thing we haven’t looked at yet is the amount of decentralization.
Currently, there are four shards, each one of them consisting of 600 nodes. 1 shard with 600 so-called DS nodes (Directory Service - they need to achieve a higher difficulty than shard nodes) and 1800 shard nodes of which 250 are shard guards (centralized nodes controlled by the team). The amount of shard guards has been steadily declining from 1200 in January 2019 to 250 as of May 2020. On the Viewblock statistics, you can see that many of the nodes are being located in the US but those are only the (CPU parts of the) shard nodes who perform pBFT. There is no data from where the PoW sources are coming. And when the Zilliqa blockchain starts reaching its transaction capacity limit, a network upgrade needs to be executed to lift the current cap of maximum 2400 nodes to allow more nodes and formation of more shards which will allow to network to keep on scaling according to demand. Besides shard nodes there are also seed nodes. The main role of seed nodes is to serve as direct access points (for end-users and clients) to the core Zilliqa network that validates transactions. Seed nodes consolidate transaction requests and forward these to the lookup nodes (another type of nodes) for distribution to the shards in the network. Seed nodes also maintain the entire transaction history and the global state of the blockchain which is needed to provide services such as block explorers. Seed nodes in the Zilliqa network are comparable to Infura on Ethereum.
The seed nodes were first only operated by Zilliqa themselves, exchanges and Viewblock. Operators of seed nodes like exchanges had no incentive to open them for the greater public. They were centralised at first. Decentralisation at the seed nodes level has been steadily rolled out since March 2020 ( Zilliqa Improvement Proposal 3 ). Currently the amount of seed nodes is being increased, they are public-facing and at the same time PoS is applied to incentivize seed node operators and make it possible for ZIL holders to stake and earn passive yields. Important distinction: seed nodes are not involved with consensus! That is still PoW as entry ticket and pBFT for the actual consensus.
5% of the block rewards are being assigned to seed nodes (from the beginning in 2019) and those are being used to pay out ZIL stakers. The 5% block rewards with an annual yield of 10.03% translate to roughly 610 MM ZILs in total that can be staked. Exchanges use the custodial variant of staking and wallets like Moonlet will use the non-custodial version (starting in Q3 2020). Staking is being done by sending ZILs to a smart contract created by Zilliqa and audited by Quantstamp.
With a high amount of DS; shard nodes and seed nodes becoming more decentralized too, Zilliqa qualifies for the label of decentralized in my opinion.
Generalized: programming languages can be divided into being ‘object-oriented’ or ‘functional’. Here is an ELI5 given by software development academy: * “all programs have two basic components, data – what the program knows – and behavior – what the program can do with that data. So object-oriented programming states that combining data and related behaviors in one place, is called “object”, which makes it easier to understand how a particular program works. On the other hand, functional programming argues that data and behavior are different things and should be separated to ensure their clarity.” *
Scilla is on the functional side and shares similarities with OCaml: OCaml is a general-purpose programming language with an emphasis on expressiveness and safety. It has an advanced type system that helps catch your mistakes without getting in your way. It's used in environments where a single mistake can cost millions and speed matters, is supported by an active community, and has a rich set of libraries and development tools. For all its power, OCaml is also pretty simple, which is one reason it's often used as a teaching language.
Scilla is blockchain agnostic, can be implemented onto other blockchains as well, is recognized by academics and won a so-called Distinguished Artifact Award award at the end of last year.
One of the reasons why the Zilliqa team decided to create their own programming language focused on preventing smart contract vulnerabilities is that adding logic on a blockchain, programming, means that you cannot afford to make mistakes. Otherwise, it could cost you. It’s all great and fun blockchains being immutable but updating your code because you found a bug isn’t the same as with a regular web application for example. And with smart contracts, it inherently involves cryptocurrencies in some form thus value.
Another difference with programming languages on a blockchain is gas. Every transaction you do on a smart contract platform like Zilliqa or Ethereum costs gas. With gas you basically pay for computational costs. Sending a ZIL from address A to address B costs 0.001 ZIL currently. Smart contracts are more complex, often involve various functions and require more gas (if gas is a new concept click here ).
So with Scilla, similar to Solidity, you need to make sure that “every function in your smart contract will run as expected without hitting gas limits. An improper resource analysis may lead to situations where funds may get stuck simply because a part of the smart contract code cannot be executed due to gas limits. Such constraints are not present in traditional software systems”.Scilla design story part 1
Some examples of smart contract issues you’d want to avoid are: leaking funds, ‘unexpected changes to critical state variables’ (example: someone other than you setting his or her address as the owner of the smart contract after creation) or simply killing a contract.
Scilla also allows for formal verification. Wikipedia to the rescue: In the context of hardware and software systems, formal verification is the act of proving or disproving the correctness of intended algorithms underlying a system with respect to a certain formal specification or property, using formal methods of mathematics.
Formal verification can be helpful in proving the correctness of systems such as: cryptographic protocols, combinational circuits, digital circuits with internal memory, and software expressed as source code.
“Scilla is being developed hand-in-hand with formalization of its semantics and its embedding into the Coq proof assistant — a state-of-the art tool for mechanized proofs about properties of programs.”
Simply put, with Scilla and accompanying tooling developers can be mathematically sure and proof that the smart contract they’ve written does what he or she intends it to do.
Smart contract on a sharded environment and state sharding
There is one more topic I’d like to touch on: smart contract execution in a sharded environment (and what is the effect of state sharding). This is a complex topic. I’m not able to explain it any easier than what is posted here. But I will try to compress the post into something easy to digest.
Earlier on we have established that Zilliqa can process transactions in parallel due to network sharding. This is where the linear scalability comes from. We can define simple transactions: a transaction from address A to B (Category 1), a transaction where a user interacts with one smart contract (Category 2) and the most complex ones where triggering a transaction results in multiple smart contracts being involved (Category 3). The shards are able to process transactions on their own without interference of the other shards. With Category 1 transactions that is doable, with Category 2 transactions sometimes if that address is in the same shard as the smart contract but with Category 3 you definitely need communication between the shards. Solving that requires to make a set of communication rules the protocol needs to follow in order to process all transactions in a generalised fashion.
There is no strict defined roadmap but here are topics being worked on. And via the Zilliqa website there is also more information on the projects they are working on.
Business & Partnerships
It’s not only technology in which Zilliqa seems to be excelling as their ecosystem has been expanding and starting to grow rapidly. The project is on a mission to provide OpenFinance (OpFi) to the world and Singapore is the right place to be due to its progressive regulations and futuristic thinking. Singapore has taken a proactive approach towards cryptocurrencies by introducing the Payment Services Act 2019 (PS Act). Among other things, the PS Act will regulate intermediaries dealing with certain cryptocurrencies, with a particular focus on consumer protection and anti-money laundering. It will also provide a stable regulatory licensing and operating framework for cryptocurrency entities, effectively covering all crypto businesses and exchanges based in Singapore. According to PWC 82% of the surveyed executives in Singapore reported blockchain initiatives underway and 13% of them have already brought the initiatives live to the market. There is also an increasing list of organizations that are starting to provide digital payment services. Moreover, Singaporean blockchain developers Building Cities Beyond has recently created an innovation $15 million grant to encourage development on its ecosystem. This all suggests that Singapore tries to position itself as (one of) the leading blockchain hubs in the world.
Zilliqa seems to already take advantage of this and recently helped launch Hg Exchange on their platform, together with financial institutions PhillipCapital, PrimePartners and Fundnel. Hg Exchange, which is now approved by the Monetary Authority of Singapore (MAS), uses smart contracts to represent digital assets. Through Hg Exchange financial institutions worldwide can use Zilliqa's safe-by-design smart contracts to enable the trading of private equities. For example, think of companies such as Grab, Airbnb, SpaceX that are not available for public trading right now. Hg Exchange will allow investors to buy shares of private companies & unicorns and capture their value before an IPO. Anquan, the main company behind Zilliqa, has also recently announced that they became a partner and shareholder in TEN31 Bank, which is a fully regulated bank allowing for tokenization of assets and is aiming to bridge the gap between conventional banking and the blockchain world. If STOs, the tokenization of assets, and equity trading will continue to increase, then Zilliqa’s public blockchain would be the ideal candidate due to its strategic positioning, partnerships, regulatory compliance and the technology that is being built on top of it.
What is also very encouraging is their focus on banking the un(der)banked. They are launching a stablecoin basket starting with XSGD. As many of you know, stablecoins are currently mostly used for trading. However, Zilliqa is actively trying to broaden the use case of stablecoins. I recommend everybody to read this text that Amrit Kumar wrote (one of the co-founders). These stablecoins will be integrated in the traditional markets and bridge the gap between the crypto world and the traditional world. This could potentially revolutionize and legitimise the crypto space if retailers and companies will for example start to use stablecoins for payments or remittances, instead of it solely being used for trading.
Zilliqa also released their DeFi strategic roadmap (dating November 2019) which seems to be aligning well with their OpFi strategy. A non-custodial DEX is coming to Zilliqa made by Switcheo which allows cross-chain trading (atomic swaps) between ETH, EOS and ZIL based tokens. They also signed a Memorandum of Understanding for a (soon to be announced) USD stablecoin. And as Zilliqa is all about regulations and being compliant, I’m speculating on it to be a regulated USD stablecoin. Furthermore, XSGD is already created and visible on block explorer and XIDR (Indonesian Stablecoin) is also coming soon via StraitsX. Here also an overview of the Tech Stack for Financial Applications from September 2019. Further quoting Amrit Kumar on this:
There are two basic building blocks in DeFi/OpFi though: 1) stablecoins as you need a non-volatile currency to get access to this market and 2) a dex to be able to trade all these financial assets. The rest are built on top of these blocks.
So far, together with our partners and community, we have worked on developing these building blocks with XSGD as a stablecoin. We are working on bringing a USD-backed stablecoin as well. We will soon have a decentralised exchange developed by Switcheo. And with HGX going live, we are also venturing into the tokenization space. More to come in the future.”
Additionally, they also have this ZILHive initiative that injects capital into projects. There have been already 6 waves of various teams working on infrastructure, innovation and research, and they are not from ASEAN or Singapore only but global: see Grantees breakdown by country. Over 60 project teams from over 20 countries have contributed to Zilliqa's ecosystem. This includes individuals and teams developing wallets, explorers, developer toolkits, smart contract testing frameworks, dapps, etc. As some of you may know, Unstoppable Domains (UD) blew up when they launched on Zilliqa. UD aims to replace cryptocurrency addresses with a human-readable name and allows for uncensorable websites. Zilliqa will probably be the only one able to handle all these transactions onchain due to ability to scale and its resulting low fees which is why the UD team launched this on Zilliqa in the first place. Furthermore, Zilliqa also has a strong emphasis on security, compliance, and privacy, which is why they partnered with companies like Elliptic, ChainSecurity (part of PwC Switzerland), and Incognito. Their sister company Aqilliz (Zilliqa spelled backwards) focuses on revolutionizing the digital advertising space and is doing interesting things like using Zilliqa to track outdoor digital ads with companies like Foodpanda.
Zilliqa is listed on nearly all major exchanges, having several different fiat-gateways and recently have been added to Binance’s margin trading and futures trading with really good volume. They also have a very impressive team with good credentials and experience. They don't just have “tech people”. They have a mix of tech people, business people, marketeers, scientists, and more. Naturally, it's good to have a mix of people with different skill sets if you work in the crypto space.
Marketing & Community
Zilliqa has a very strong community. If you just follow their Twitter their engagement is much higher for a coin that has approximately 80k followers. They also have been ‘coin of the day’ by LunarCrush many times. LunarCrush tracks real-time cryptocurrency value and social data. According to their data, it seems Zilliqa has a more fundamental and deeper understanding of marketing and community engagement than almost all other coins. While almost all coins have been a bit frozen in the last months, Zilliqa seems to be on its own bull run. It was somewhere in the 100s a few months ago and is currently ranked #46 on CoinGecko. Their official Telegram also has over 20k people and is very active, and their community channel which is over 7k now is more active and larger than many other official channels. Their local communities also seem to be growing.
Moreover, their community started ‘Zillacracy’ together with the Zilliqa core team ( see www.zillacracy.com ). It’s a community-run initiative where people from all over the world are now helping with marketing and development on Zilliqa. Since its launch in February 2020 they have been doing a lot and will also run their own non-custodial seed node for staking. This seed node will also allow them to start generating revenue for them to become a self sustaining entity that could potentially scale up to become a decentralized company working in parallel with the Zilliqa core team. Comparing it to all the other smart contract platforms (e.g. Cardano, EOS, Tezos etc.) they don't seem to have started a similar initiative (correct me if I’m wrong though). This suggests in my opinion that these other smart contract platforms do not fully understand how to utilize the ‘power of the community’. This is something you cannot ‘buy with money’ and gives many projects in the space a disadvantage.
Zilliqa also released two social products called SocialPay and Zeeves. SocialPay allows users to earn ZILs while tweeting with a specific hashtag. They have recently used it in partnership with the Singapore Red Cross for a marketing campaign after their initial pilot program. It seems like a very valuable social product with a good use case. I can see a lot of traditional companies entering the space through this product, which they seem to suggest will happen. Tokenizing hashtags with smart contracts to get network effect is a very smart and innovative idea.
Regarding Zeeves, this is a tipping bot for Telegram. They already have 1000s of signups and they plan to keep upgrading it for more and more people to use it (e.g. they recently have added a quiz features). They also use it during AMAs to reward people in real-time. It’s a very smart approach to grow their communities and get familiar with ZIL. I can see this becoming very big on Telegram. This tool suggests, again, that the Zilliqa team has a deeper understanding of what the crypto space and community needs and is good at finding the right innovative tools to grow and scale.
To be honest, I haven’t covered everything (i’m also reaching the character limited haha). So many updates happening lately that it's hard to keep up, such as the International Monetary Fund mentioning Zilliqa in their report, custodial and non-custodial Staking, Binance Margin, Futures, Widget, entering the Indian market, and more. The Head of Marketing Colin Miles has also released this as an overview of what is coming next. And last but not least, Vitalik Buterin has been mentioning Zilliqa lately acknowledging Zilliqa and mentioning that both projects have a lot of room to grow. There is much more info of course and a good part of it has been served to you on a silver platter. I invite you to continue researching by yourself :-) And if you have any comments or questions please post here!
tl;dr - This is the 17th monthly update on the 2019 Top Ten Experiment. Ethereum up the most in May, plus got a shout out from J.K. Rowling, so it obviously won the month. Overall, BTC in first place since January 2019, BSV in second place. Half of the 2019 Top Ten Portfolio is up at least +50%. XRP is worst performing. Total $3k (3 x $1k) investments the 2018, 2019, and 2020 Top Ten are up +3.5%, but similar approach with US stocks market would have yielded +10%.
Instead of hypothetically tracking cryptos, I made an actual $1000 investment, $100 in each of the Top 10 cryptocurrencies by market cap on the 1st of January 2018. The result? The 2018 Top Ten portfolio ended 2018 down 85%, my $1000 worth only $150. I thenrepeated the experimenton the 1st of January 2019 with the new 2019 Top Ten cryptos, then again in2020. Think of the Top Ten Experiments as a lazy man’s Index Fund (no weighting or rebalancing), less technical, but hopefully still a proxy for the market as a whole – or at the very least an interesting snapshot of the 2018, 2019, and 2020 crypto space. I am trying to keep this project simple and accessible for beginners and those looking to get into crypto but maybe not quite ready to jump in yet. I try not to take sides or analyze, but rather attempt to report in a detached manner letting the numbers speak for themselves. This is not investing advice – as a matter of fact, the vast majority of the reports will show that the Top Ten approach under performs other strategies. This experiment is designed to be documentary in nature, describing a specific period in cryptocurrency history.
Buy $100 of each the Top 10 cryptocurrencies on January 1st, 2018, 2019, and 2020. Hold only. No selling. No trading. Report monthly.
Month Seventeen – UP 43%
Unlike April’s all green month, May was more mixed. That said, the gains outweighed the losses this month in the 2019 Top Ten Portfolio.
Question of the month:
In May, Reddit launched two Ethereum-based tokens on the Cryptocurrency and FortNiteBR subreddits. What are the Cryptocurrency token called? A) Moons B) Bricks C) Satoshis D) Cryptos Scroll down for the answer.
Ranking and March Winners and Losers
Besides Stellar (down two spots to #13) and Tron (down one from #16 to #17) every other crypto was locked in place. Speaking of Stellar and Tron, they are still the only two cryptos to have dropped out of the 2019 Top Ten since January 1st, 2019. They have been replaced by Binance Coin and Tezos. May Winners – Ethereum ended the month up +16% and got a shout out from J.K. Rowling, so it obviously won May. BTC came in a close second this month, up +14%. May Losers – A tight battle for the basement this month with BSV (down -3.9%) edging out XRP (down -3.7%) for the bottom spot. For nerds those keeping score, here is tally of which coins have the most monthly wins and loses during the first seventeen months of the 2019 Top Ten Experiment: Tether is still in the lead with five monthly victories followed by BSV in second place with three. BSV also holds the most monthly losses, finishing last in six out of seventeen months.
Overall update – BTC increases lead over second place BSV, XRP still worst performing
Ahead until just last month, BSV lost a lot of ground to BTC in May. Bitcoin is now up +168% since January 2019 compared to BSV‘s +116% gain. That initial $100 investment in BTC? Now worth $273. As was the case last month, 50% of the 2019 Top Ten cryptos are up at least +50% since the beginning of the experiment. At the other end, XRP continues to struggle, now down -41% since January 2019.
Total Market Cap for the entire cryptocurrency sector:
The overall crypto market added about $35B in May, and is now near August 2019 levels. It is up +123% since January 2019.
BitDom was steady again in May. This marks the third straight month it’s been stuck at around 65% For context, the range since the beginning of the experiment in January 2019 has been between 50%-70%.
Overall return on investment since January 1st, 2019:
The 2019 Top Ten Portfolio gained about $65 in May. After the initial $1000 investment, the 2019 group of cryptos is worth $1,431, up about +43%. Here’s a look at the ROI over the life of the first seventeen months of the experiment, month by month: Almost completely green for the 2019 Top Ten, a welcome change from the all red table you’ll see in the 2018 experiment. As you can see, every month except the first month ends in positive territory. At the lowest point, the 2019 Top Ten portfolio was down -9%, at the highest point, up +114% (May 2019). How does the 2019 Top Ten Experiment compare to the parallel projects?
Taking the three portfolios together, here’s the bottom bottom bottom line: After a $3000 investment in the 2018, 2019, and 2020 Top Ten Cryptocurrencies, my portfolios are worth $3,104. That’s up about +3.5% for the combined portfolios. Better than a few months ago (aka the zombie apocalypse) where it was down -24%, but not yet back at January (+13%) or February (+6%) levels. How does this compare to traditional markets?
How does the 2019 Top Ten portfolio compare US stock market?
Excellent question, I’m glad you asked. And you’re in luck, I’m also tracking the S&P 500 as part of my experiment to have a comparison point with other popular investments options. Despite the fact that the world seemed to be on fire, May 2020 saw the continued rebound of the stock market. It’s now up +22% since the start of the 2019 Experiment. As a reminder (or just scroll up) the 2019 Top Ten portfolio is returning +43% over the same time period, which is about double the S&P 500. The initial $1k investment I put into crypto would be worth $1,220 had it been redirected to the S&P 500 in January 2019. But what if I took the same world’s-slowest-dollar-cost-averaging/$1,000-per-year-in-January approach with the S&P 500? It would yield the following:
$1000 investment in S&P 500 on January 1st, 2018: +$140
$1000 investment in S&P 500 on January 1st, 2019: +$220
$1000 investment in S&P 500 on January 1st, 2020: -$50
Taken together, here’s the bottom bottom bottom line for a similar approach with the S&P: After three $1,000 investments into an S&P 500 index fund in January 2018, 2019, and 2020, my portfolio would be worth $3,310. That $3,310 is up over+10%since January 2018, compared to the $3,104 value (+3.5%) of the combined Top Ten Crypto Experiment Portfolios. That’s about a 7% difference in favor of the stock market. Last month, there was only a 3% difference, the month before, the gap was 13% (all in favor of the stock market).
The difference between the 2019 Top Ten crypto group and the overall crypto market is stark. Since January 2019, the overall market has gained +123% compared to the 2019 Top Ten crypto group which has gained +43%. This is an absolutely massive 80% gap. A +43% return is solid compared to the stock market, but it also implies that an investor would have done much better picking different cryptos or investing in the entire market instead of focusing only on the Top Ten. There are a few examples of this approach outperforming the overall market in this 2019 Top Ten Crypto Experiment, but the cases are few and far between. The 2018 Top Ten portfolio, on the other hand, has never outperformed the overall market, at least not in the first twenty-nine months of that Experiment. For the most recent 2020 Top Ten group, the opposite had been true: the 2020 Top Ten had easily outperformed the overall market 100% of the time…until this month.
The BTC halving event came and went in May and crypto markets shrugged. As the world continues to change because of COVID-19, what will be crypto’s place when we finally emerge on the other side? Final word: Please take care of yourselves, your families, and your communities. Stay safe out there. Thanks for reading and for supporting the experiment. I hope you’ve found it helpful. I continue to be committed to seeing this process through and reporting along the way. Feel free to reach out with any questions and stay tuned for progress reports. Keep an eye out for the original 2018 Top Ten Crypto Index Fund Experiment and the recently launched 2020 Top Ten Experiment.
And the Answer is…
A) Moons According CryptoCurrency, Moons represent ownership in the subreddit, “tokens on the Ethereum blockchain controlled entirely by you, and they can be freely transferred, tipped, and spent inCryptoCurrency*.*” Check out this post for more details.
Disclaimer: I am not and have never been affiliated with any of the mentioned parties in a private or professional matter. Presumably in an attempt to smear a local competitor, Hayden Otto inadvertently publishes irrefutable on-chain proof that he excluded non-BCH retail revenue to shape the "BCH #1 in Australia" narrative.
Scroll down to "Proof of exclusion" if you are tired of the drama recap.
Scroll down to "TLDR" if you want a summary.
In September 2019, BitcoinBCH.com started publishing so called monthly "reports" about crypto retail payments in Australia. They claimed that ~90% of Australia's crypto retail revenue is processed via their own HULA system and that ~92% of all crypto retail revenue happens in BCH. They are aggregating two data sources to come up with this claim. One is TravelByBit (TBB) who publishes their PoS transactions (BTC, LN, ETH, BNB, DASH, BCH) live on a ticker. The other source is HULA, a newly introduced POS system (BCH only) and direct competitor to TBB run by BitcoinBCH.com - the same company who created the report. Despite being on-chain their transactions are private, not published and not verifiable by third parties outside BitcoinBCH.com Two things stood out in the "reports", noted by multiple users (including vocal BCH proponents):
The non-BCH parts must have tx excluded and the report neglects to mention it (the total in their TBB analysis does not match what is reported on the TBB website.)
The BCH part has outliers included (e.g. BCH city conference in September with 35x the daily average)
Hayden Otto's reaction
In direct response to me publishing these findings on btc, Hayden Otto - an employee at BitcoinBCH.com and the author of the report who also happens to be a moderator of /BitcoinCash - banned me immediately from said sub (source). In subsequent discussion (which repeated for every monthly "report" which was flawed in the same ways as described above), Hayden responded using the same tactics: "No data was removed"
"The guy is straight out lying. There is guaranteed no missing tx as the data was collected directly from the source." (source)
"Only data I considered non-retail was removed"
"I also had these data points and went through them to remove non-retail transactions, on both TravelbyBit and HULA." (source)
He admits to have removed non-BCH tx by "Game Ranger" because he considers them non-retail (source). He also implies they might be involved in money laundering and that TBB might fail their AML obligations in processing Game Ranger's transactions (source). The report does not mention any data being excluded at all and he still fails to explain why several businesses that are clearly retail (e.g. restaurants, cafes, markets) had tx excluded (source). "You are too late to prove I altered the data"
"[...] I recorded [the data] manually from https://travelbybit.com/stats/ over the month of September. The website only shows transactions from the last 7 days and then they disappear. No way for anyone to access stats beyond that." (source)
Proof of exclusion
I published raw data as extracted from the TBB site after each report for comparison. Hayden responded that I made those numbers up and that I was pulling numbers out of my ass. Since he was under the impression that
"The website only shows transactions from the last 7 days and then they disappear. No way for anyone to access stats beyond that." (source)
he felt confident to claim that I would be
unable to provide a source for the [missing] data and/or prove that that data was not already included in the report. (source)
Luckily for us Hayden Otto seems to dislike his competitor TravelByBit so much that he attempted to reframe Bitcoin's RBF feature as a vulnerability specific to TBB PoS system (source). While doublespending a merchant using the TBB PoS he wanted to prove that the merchant successfully registered the purchase as complete and thus exposed that the PoS sales history of TBB's merchants are available to the public (source), in his own words:
"You can literally access it from a public URL in the Web browser. There is no login or anything required, just type in the name of the merchant." (source)
As of yet it is unclear if this is intentional by TBB or if Hayden Ottos followed the rules of responsible disclosure before publishing this kind of data leak. As it happens, those sale histories do not only include the merchant and time of purchases, they even include the address the funds were sent to (in case of on-chain payments). This gives us an easy method to prove that the purchases from the TBB website missing in the reports belong to a specific retail business and actually happened - something that is impossible to prove for the alleged HULA txs. In order to make it easier for you to verify it yourself, we'll focus on a single day in the dataset, September 17th, 2019 as an example:
Hayden Otto's report claims 20 tx and $713.00 in total for that day (source)
The TBB website listed 40 tx and a total of $1032.90 (daily summary)
Paste the associated crypto on-chain address 17MrHiRcKzCyuKPtvtn7iZhAZxydX8raU9 in a blockchain explorer of your choice, e.g like this. This proves that a transfer of funds has actually happened.
I let software aggregate the TBB statistics with the public sale histories and you'll find at the bottom of this post a table with the on-chain addresses conveniently linked to blockchain explorers for our example date. The total of all 40 tx is $1032.90 instead of the $713.00 reported by Hayden. 17 tx of those have a corresponding on-chain address and thus have undeniable proof of $758.10. Of the remaining 23, 22 are on Lightning and one had no merchant history available. This is just for a single day, here is a comparison for the whole month.
TBB wo. Game Ranger
TBB according to Hayden
The usual shills will respond in a predictive manner: The data must be fake even though its proof is on-chain, I would need to provide more data but HULA can be trusted without any proof, if you include outliers BCH comes out ahead, yada, yada. But this is not important. I am not here to convince them and this post doesn't aim to. The tx numbers we are talking about are less than 0.005% of Bitcoin's global volume. If you can increase adoption in your area by 100% by just buying 2 coffees more per day you get a rough idea about how irrelevant the numbers are in comparison. What is relevant though and what this post aims to highlight is that BitcoinBCH.com and the media outlets around news.bitcoin.com flooding you with the BCH #1 narrative are playing dirty. They feel justified because they feel that Bitcoin/Core/Blockstream is playing dirty as well. I am not here to judge that but you as a reader of this sub should be aware that this is happening and that you are the target. When BitcoinBCH.com excludes $1,000 Bitcoin tx because of high value but includes $15,000 BCH tx because they are made by "professionals", you should be sceptical. When BitcoinBCH.com excludes game developers, travel businesses or craftsmen accepting Bitcoin because they don't have a physical store but include a lawyer practice accepting BCH, you should be sceptical. When BitcoinBCH.com excludes restaurants, bars and supermarkets accepting Bitcoin and when pressed reiterate that they excluded non-retail businesses without ever explaning why a restaurant shouldn't be considered reatil, you should be sceptical. When BitcoinBCH.com claims the reports have been audited but omit that the data acquisition was not part of the audit, you should be sceptical. I expect that BitcoinBCH.com will stop removing transactions from TBB for their reports now that it has been shown that their exclusion can be provably uncovered. I also expect that HULA's BCH numbers will rise accordingly to maintain a similar difference. Hayden Otto assumed that nobody could cross-check the TBB data. He was wrong. Nobody will be able to disprove his claims when HULA's BCH numbers rise as he continues to refuse their release. You should treat his claims accordingly. As usual, do your own research and draw your own conclusion. Sorry for the long read.
BitcoinBCH.com claimed no transactions were removed from the TBB dataset in their BCH #1 reports and that is impossible to prove the opposite.
Hayden Otto's reveals in a double spend attempt that a TBB merchant's sale history can be accessed publicly including the merchant's on-chain addresses.
(For example,) this table shows 40 tx listed on the TBB site on Sep 17th, including their on-chain addresses where applicable. The BitcoinBCH.com report lists only 20 tx for the same day.
(Most days and every months so far has had BTC transactions excluded.)
(For September, TBB lists $10,502 yet the report only claims $3,737.
Conversion from Bitcoin to United States dollar can be done at current rates as well as at historical rates – to do this, select the desired exchange rate date. Today’s date is set by default ... Our real time Binance Coin US Dollar Binance converter will enable you to convert your amount from BNB to USD. All prices are in real time. How much Bitcoin is 100 BITS? Check the latest Bitcoin (BTC) price in Bitstar (BITS)! Exchange Rate by Walletinvestor.com Der aktuelle Bitcoin/Dollar Kurs BTC/USD - Währunsgrechner für den Wechselkurs von Bitcoin in Dollar. How much Binance USD is 390 BITS? Check the latest Binance USD (BUSD) price in Bitstar (BITS)! Exchange Rate by Walletinvestor.com Bitcoin - US Dollar Chart (BTC/USD) Conversion rate for Bitcoin to USD for today is $15,528.39. It has a current circulating supply of 18.5 Million coins and a total volume exchanged of $36,591,209,855 100 USD to BTC Changes Changes % November 7, 2020: Saturday: 100 USD = 0.01 BTC-0.002436 BTC-36.27%: October 8, 2020: Thursday: 100 USD = 0.01 BTC-0.000217 BTC-2.37%: The value of 100 USD in Bitcoins for the month (30 days) decreased by: -0.002436 BTC (zero bitcoin twenty-four million three hundred sixty thousand bits). At today’s value, for instance, one bit is about US$0.011 according to this helpful tool. Likewise, one mBTC is worth just over $11. So at today’s rate, a pair of socks for 100 bits would be quite a good deal indeed at just over one dollar. Bitcoin Satoshi Chart. Here is a chart showing the Bitcoin Divisibility amounts, taken from ... Value 24h high: $552 668,0526: Trade Volume for 24h: $5,48: Current Circulating Supply : 0: Maximum Supply : 9M: Algorithm: Scrypt: ICO Price and ICO ROI — Price Change 24h % 0.7641%: bpcn quote: $552 668,0526: BlipCoin(bpcn) ATH - All Time High Price. BlipCoin ATH Price: $10 783 794: Days Since ATH: 38: ATH Date: 9/27/20: All Time High % 5.12%: Q&A For BlipCoin Cryptocurrency. How much is a ... Benutze den Investing.com Währungsrechner um die Konversion von BAT zu USD Binance zu berechnen. Der Preis ist an den Echtzeitkurs gebunden.
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