Bitcoin is not a Giffen good

The narrative that Bitcoin is a Giffen good was proposed by Chris King of Morgan Creek as of late, and I thought this is a good time to take a look into it and see if if it holds ground (hint: it doesn't).

 

I get how one can fall into this trap - Bitcoin's reflexive properties, do give it some of the characteristics that Giffen goods bear. But Giffen goods are not the only types of goods that violate the law of demand. Everybody is entitled to their opinion, but nobody is entitled to their facts. That said, there seems an audience for everything...

 

A Giffen good is a product that people consume more of as the price rises and vice versa. Giffen goods are so strongly inferior goods (inferior goods are goods whose demand decreases, as the the income of consumers increases - e.g. broomsticks) in the minds of consumers (being more in demand at lower incomes) that the income effect more than offsets the substitution effect, and the net effect of the good's price rise is to increase demand for it.

The econ 101 example is that of potatoes in Ireland during the great famine - note that potatoes were not a Giffen good before the famine, but only became one as all substitutes became incredibly scarce.

Here are the conditions for a good to be considered a Giffen good: 

  • the good in question must be an inferior good,

  • there must be a lack of close substitute goods, and

  • the goods must constitute a substantial percentage of the buyer's income, but not such a substantial percentage of the buyer's income that none of the associated normal goods are consumed.

How many of the above criteria does Bitcoin satisfy? You guessed it - NONE ❌

Be that as it may, the underlying idea that Bitcoin becomes more desire-able as its price rises, does hold some ground. Here's why:

  • It attracts more hash-power and is therefore more expensive to 51% attack, and as such is a better store of value. Its fundamental properties improve, which in turn pushes the price higher.

  • Bitcoin's market cap is like votes of confidence - every dollar exchanged for Bitcoin is a vote towards BTC becoming established as a global medium of exchange. The more votes in favour, the more likely you are to be on the losing side if you don't participate.

  • Lack of proper valuation models, make Bitcoin more reflexive - there is no objective measure of value, and so people are more easily subjected to a bandwagon effect and a confirmation bias.

  • I will go as far as to argue that, given the amount of attention that Bitcoin has currently, and considering its deflationary schedule (artificial scarcity), Bitcoin more closely resembles a Veblen good, than it does a Giffen good. That is to say Bitcoin is more like the original Aston Martin DB5 from Goldfinger, than potatoes in the Irish famine - but really is like neither. 

EthCC impressions and takeaways

Finally back from a week in Paris at EthCC (Ethereum Community Conference) 2019, and as promised I am devoting this section to the key takeaways from the conference and related events. At a very high level, the community interest is strong - the event was attended by over 1000 people, the building continues and Paris appears to be one of the most active hubs for the industry in Europe - it probably helps that central Paris is much smaller than London, Berlin or New York. Without further ado, I give you the key themes and takeaways below;

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1) Governance, governance, governance; I think it's no overstatement to say that this was the biggest theme of the week, driven both by the multitude of speakers focusing on DAOs and related concepts, but also by the fact that many key members of the Ethereum community openly acknowledged that governance is a big issue in the community at this stage. It's interesting how the geist sets the stage for a discussion around governance; a lot of the people involved in the research and development aspects of programmatic governance are European and coming hot off a decade of governance woes at the sovereign level. Grexit (almost) in 2015, the looming Brexit, the migrant crisis, the yellow vest movement and the general sluggishness of the EU institutions in various fronts, are all owing to negative governance externalities to a large extent. The promise of permissionless blockchains and governance thereof, in this context, is that they can help generate and sustain independent jurisdictions.

Aragon & the Web 3.0 foundation (Polkadot - who pretty much had a whole track devoted to them) both featured heavily, and the talks revolved around the role software can play in governance, oftentimes getting very granular. If you want to get deeper into the content, is suggest checking out these talks from Julien BerangerHudson JamesonJorge IzquierdoVlad Zamfir and my favourite from Matan Field.

2) Ethereum 2.0 is a bunch of napkin plans put together; the problems that the underlie the general ptrajectory have been documented by this newsletter several times. Given that governance was the main theme, I will choose to focus on this. It would seem that there is no official consensus on whether the current model works - rather opinions differ. It does seem though, that discontentment is taking root in the land of unicorns and cat herdersRick Dudley's talk was one of the first I caught, and his candidness about how Ethereum's current governance model does not work and does not scale was almost shocking. He also went on to state that Ethereum "is not the world computer (laughs)" and will probably never be it.

 

3) Tokens are far from dead; in fact experimentation is going to a whole different level. That said, tokens in their 2017 form, are probably dead - at least that's what the ethcc mindshare purported. There is a lot to be excited about on tokens facilitating governance, and powering well designed ecosystems, however. Token bonding curves were the focal point in that context, with @thibauld making a fantastic case for "continuous organizations" (read more here), and Griff Green took from that and expanded on the philosophy of how token ecosystems should be launched (TL;DR - more simulation, more rapid prototyping, more sandboxing before launch, more iterrations).

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4) UI/UX is of course a focal point; pretty much that point was reinforced in every talk I sat in for, in one way or another. Argent and Portis both had a strong presence (both wallet related projects), while Pedro Gomes drove a point home when he talked about implementing widely agreed wallet standards in order to drive adoption (this newsletter has talked about the waste of resources that poor co-ordination and/or competition at an early stage amounts to). Going beyond wallets, a couple more interesting approaches that go beyond the interface, but are crucial for the experience, were regarding reducing Mainnet transactions by Craig Williams specifically, and overall on protocol design by Thomas Chataigner. Overall, meaningful steps towards further adoption are being taken (see: Opera browser integrating IPFS and ENS - the Ethereum Name Service that basically allows Ethereum addresses to be represented as human-readable domain names), while the Brave browser has hit 20M downloads, as the BAT network publisher stats are starting to go hockey-stick

5) STOs are a pipe dream (in the short term); while many of the speakers assumed otherwise (none of them was an STO expert - and to be fair no-one specified timing in their expectations), the majority of the crowd that I interacted with did not seem to expect them to happen materially in the next year. Among those that voiced the opinion were European VCs, Genesis and Circle execs and various developers. While everybody thought that they will happen (and will matter) eventually, no-one knew of anything material being on the rails. This might be a case of "none at all and then all at once".

6) Attracting new devs is table stakes; William Mougayar made a whole talk out of this, but the theme kept arising in different instances. Of course, as it stands, Ethereum is very well positioned to be the first point of entry for devs that want to dabble with the Web 3.0 or Open Finance stacks, as it is the better tooled platform, with the most engaged community. That said, with Polkadot and Substrate launching in less than six months, there is some serious competition on the horizon.

7) Paris is beautiful and VERY liveable; but that you knew already....

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Bonus Content: The 3-day conferece was followed up by EthParis - a hackathon with some talks that largely overlapped with the content and speakers of EthCC. While I didn't manage to go, I kept an eye on submissions and outcome and am presenting you with the most interesting projects that came out of it, below: 

  • GoMommy  -  tokenized ENS marketplace built on 0x (GoDaddy for Ethereum addresses) 

  • 12months - Request a DAI loan by collateralizing a car via the 0x protocol and Estonian E-ID system

  • FiatFriends - send $ and receive ERC-20s via Venmo

  • QRToken - insert tokens at QR codes (for events etc)

  • CryptoWedding — marry two NFTs together… and invite other NFTs

  • Ayyo — ERC721 paywall, price increases in price per tokenID.

Beyond the hype on Maker DAO

Part 1

For the next few editions I'm going to dig into DeFi's most prized asset - Maker DAO. Being cognizant of time limitations here, I'll break this up into multiple pieces - which will hopefully make it a little bit more digestible for all. Maker has conjured up a lot of excitement among the community and for good reason, as at the moment around 2% of all the ETH in circulation is locked up in the Maker smart contract. 

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What exactly is Maker though? In short, Maker is a set of smart contracts responsible for the issuance of the DAI stablecoin (pegged to the dollar). DAI is backed by Ether that is locked into the Maker smart contract as collateral - see below for a glimpse of the UI

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As an ETH holder, you can lock up your ETH as collateral and issue an equivalent amount  of DAI. This function is known as a “collateralized debt position” or CDP. Due to the volatility of ETH, the amount that needs to be provided as collateral is a multiple of a 1:1 relationship, to prevent positions being liquidated on wild price swings.

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In the event of a reduction in value of the collateral asset (ETH), Maker liquidates CDPs and auctions off the ETH inside for DAI until there is enough DAI to pay back what was extracted from the CDP. So far, so good...

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What happens though, if the price of ETH crashes well below the one-to-one collateralization ratio in a very short time-frame. This is where MKR - the native token of the ecosystem - comes in. MKR is an ERC-20 that has governance rights over the Maker smart contracts. As mentioned in a previous version of the newsletter, the governance rights granted to MKR holders, preside over state; put simply, holders of MKR have influence over the key risk parameters of the system in a way that materially changes the composition of the system (state). These include:

  • The Debt Ceiling - maximum amount of debt that can be created by a single type of CDP

  • The Liquidation Ratio -  ration between collateral and debt

  • The Stability Fee - an annual percentage yield and needs to be paid by the CDP user

  • The Penalty Ratio - the max amount of Dai raised from a Liquidation Auction

Incentivization to participate in the governance of the platform as a MKR holder, materializes in stability fees. The more collateral in the system, and the more DAI is issued, the higher the value of those fees. As it becomes apparent, governance rights are valuable in the Maker ecosystem. We'll dig deeper into exactly how much tomorrow.

Part 2

Today, we continue with the dive on Maker from where we left off - governance on the platform vis a vis the MKR token. The way governance materializes, is via proposals instigated by different members of the community (which is largely organizing in the Maker DAO subreddit), that are voted for by staking the MKR token. Voting power is equivalent to the amount of MKR at stake.

The voting process for the governance is done through continuous approval voting. In simple terms, any MKR holder can vote for any number of proposals with the MKR that they they hold. They can also submit a new proposal or cast or withdraw their vote any time they want. The proposal with the maximum votes from MKR holders becomes the top proposal and can be activated to implement any changes in MakerDAO.

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The incentives interplay for MKR holders and governance participants is two-fold (at least on a high-level); participating to earn the stability fee, but also participating to ensure that the platform is well functioning so that the long term value of the investment (MKR) is more likely to increase.

This is an interesting relationship, as often the governors will be called to sacrifice short term gains (less stability fee) for a longer term payoff (MKR price appreciation). Under the MakerDAO system, stability fees are denominated in DAI but must be paid in MKR. Once paid, the MKR is burned, reducing the supply and hypothetically increasing the price of MKR. Reducing stability fees means that less MKR is burnt, potentially decreasing the price of MKR. We actually such a turn of events play out many a times in 2018, with the latest event recorded in December. Governance requires constant involvement, in order to ensure that it is always a representative number of votes changing the state of the system, and not the other way around.

As you can imagine, when such critical decisions are at - well - stake, consensus via a widely disparate demos can be hard to achieve, and maybe in fact not optimal in the long run - this is an opinion espoused by Rune Christensen, founder of the Maker DAO platform, in a recent edition of the Unchained podcast. Thus far, the constitution of MKR holders seems to be highly concentrated, mitigating that risk on the one hand, but on the other leaving a large amount of decision making power to the Polychains and a16z's of the world.

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Santiment recently ran an analysis of the on-chain Maker DAO network and uncovered that there is indeed a high level of concentration in address interactions. While most ERC-20 contract activity is distributed as in the Santiment Network's case, in Maker the network of interacting addresses is a lot more tightly knit.

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Another property that describes the governors, and arguably favours relative centralization, is their function as the buyer of last resort. Should the collateral in the system not be enough to cover the amount of Dai in existence, MKR is created and sold onto the open market in order to raise the additional collateral, providing a strong incentive for MKR holders to responsibly regulate the parameters at which CDPs can create Dai, as it will ultimately be their money on the line should the system fail. As such, deep governor pockets act more as a feature, rather than a bug. 

In order to prevent system failures (e.g. a 51% attack or a sharp drop in the price of the collateral asset), Maker attempts to mitigate the risk in two ways; (i) a delay mechanism and (ii) a global settlement mechanism. 

The delay mechanism kicks in after a vote is completed, in which time window stakeholders can audit the new code for 24 hours. If the code is reviewed and considered detrimental to the system, then the system will be shut down before it can be deployed.

Now in the event of a black swan event that critically threatens the system, Maker DAO initiates global settlement; a process through which the entire system freezes and all holders of DAI and CDPs are returned the underlying collateral. Global settlement can be triggered by a select group of trusted individuals who hold the global settlement keys. The collateral owners are at that point exposed to whatever market volatility ensues, but are nonetheless guaranteed return of their collateral, after which point the system reboots.

If an attacker bought 51% of the active MKR stake, and somehow tried to corrupt the system, the settlers would initiate the global settlement process. After that is complete, the reformed Maker DAO would be spawned and the attackers 51% stake would have been removed, leaving only the honest MKR holders left. Given both the carrot and stick type incentives outlined here, it becomes evident that corrupting the system is very expensive and therefore not an optimal play.

In pt.3, we'll take a look at how DAI keeps its peg, how that is likely to be affected with the introduction of multi-collateral DAI and what the general implications are.

Part 3

As outlined in parts 1 and 2, the way MakerDAO system works is that users pool Ether together (referred to as PETH, or pooled ETH), and after this pooling, the issued DAI tokens are collateralised against this asset-locked reserve. The way DAI maintains its peg against the USD then, is by adjusting the key parameters of the system to incentivize demand and supply forces to bring the peg back to balance. Consider the following example, as outlined by Alex Larssen; as the price of ETH crashed along with the rest of the market back in November 2018, Maker DAO triggered a series of CDP liquidations - a process that involves withdrawing DAI from the market and returning PETH to the CDP holders.  

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In the period examined, there were 3 main liquidation events, after which the DAI ecosystem found itself in an excess demand condition. As such, the governors brought the stability fee down (cost of creating a CDP) in order to make it more attractive for participants to provide collateral. Subsequently DAI returned to its target range. As you can imagine, in a period of excess supply (such as the current), the governors will strive to increase the stability fee, to part of the market to withdraw collateral and contract the supply of DAI (in fact there is a currently a vote in place to increase the stability fee to 1.5%).  

The problem here, as far as stablecoins are concerned, is that there are no evident demand-side ways to keep the peg in place. As Su Zhu and Hasu explored in their recent piece, "Maker Dai: Stable, but not scalable", Maker DAO does not allow a margin for professional arbitrageurs to get involved in exploiting price discrepancies to bring the DAI peg to balance, primarily due to the fact that DAI is not interchangeable with its collateral on a 1:1 ratio. The following passage sheds some light into this;

When market demand pushes the price of DAI to $1.02, you can again take $1.00 USD, buy $1.00 ETH (or any other asset that can be used as collateral) and lock it in a CDP. The problem, however, is that for each $1.00 ETH locked up, Maker will give you less than $1 of Dai. That is due to the requirement for over-collateralization. The current collateralization ratio is 150%, so $1.00 ETH in a CDP can generate up to 0.66 Dai (this ratio could change, but it’s never going to be close to 100%).

While you wait for the price of Dai to drop, you are stuck in an unfortunate position:

1) You don’t know when, or if, the price of Dai will fall again

2)Since you cannot complete all the steps of the cycle simultaneously, you are stuck with long exposure to ETH while you wait. You want to sterilize the risk by shorting ETH, but that incurs an additional borrow cost.

3) You have an additional cost of capital for locking up the part of sterilized ETH you didn’t borrow Dai against, which is at least 33% (since you can draw $0.66 Dai for every $1 ETH). The cost of that is the risk-free rate of USD.

4) There is an additional cost for closing the CDP.

Now here's the catch - according to them (and in fact I have no trouble warming to the idea), Maker DAO is not about the stablecoin! The stablecoin in the model is rather a feature, but not the main value proposition. Instead, that is long leverage and treasury/payroll management for ICOs by generating liquidity on the ETH collected in the fundraise, while acting as a swap of sorts, allowing borrowers to defer capital gains tax to a later date. As Hasu and Su Zhu put it, the general misunderstanding is that the purpose of Maker DAO "is not to create a scalable, censorship-resistant stablecoin. It is to be able to generate censorship resistant stability for anyone holding a volatile censorship resistant asset." From that perspective, short term peg fluctuations don't matter as much, as they do for pure stablecoins such as Tether and USDC, so long as long term stability is guaranteed.

Of course, working on a single collateral model, with the collateral being a highly volatile asset such as ETH, is not exactly catering to future guarantees of stability. The relative unpredictability of the stability fee will persist, as long as ETH volatility persists, erroding the overall value proposition. However, let's not forget that single collateral is only v.1, with v.2 being just around the corner - but that's perhaps a story for tomorrow's edition!

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Before we close today's session on Maker DAO, I'd like to highlight an important realization that I feel is generalizable accross a slew of smart contract applications and cryptoassets overall; in their current form, they are tools with a set of properties that loosely define the opportunity space they exist in. In other words, their utility is driven by the narrative around them, as much as the narrative around them is driven by their utility.

Considering that we are talking about pieces of technology that are so new they are often framed by the devs themselves as "experiments", and are built on open standards, it shouldn't be surprising at all that their utility is also open to interpretation. 

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In fact, this is actually a crucial piece in the process of cryptoassets and open protocols to finding product-market fit, and if anything, it's an extremely powerful feature (cc: hivemind). As these protocols mature, the ratio between narrative and utility should skew towards utility, and the feedback cycles should become shorter as the utility space is more clearly defined. 

Sidenote: I saw a tweet recently that really hit the spot; the metric that really matters in DeFI, is the total value of assets locked in those smart contracts - not the DAU. If that is true however, then a follow-on point is also true; UX needs to improve beyond just simple interfaces and short user journeys. For these apps to become sticky, they also need to be able to work in a "set it and forget it" way - consider that Maker DAO, as it stands is a high friction application, that requires CDP holders to monitor the stability fee and act accordingly.

Simple interfaces and short user journeys are great for reeling users in; what happens after users are in, is largely what will decide whether or not these users will stick with the platform, once the novelty wears out. 

Part 4

After a short intermission, we continue today with our dive into Maker DAO and today we discuss more recent developments, as well as the impeding multi-collateral DAI and its potential implications. The Maker DAO team released the  code for Multi-Collateral Dai back in November 2018 and contracts have been deployed to the Kovan testnet (Ethereum). Through that process, the various contracts have been put to the test, undergoing several iterations. A key - and highly attractive - feature of the Maker DAO Mainnet is the improved UI and UX, with a revamped governance page (already in place) and a new CDP Portal.

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Now, in various parts of editions 1-3, we talked about the stability of DAI, and how ETH volatility is major pain point in the process of keeping the DAI stable. Multi-collateral DAI will gradually introduce the ability to collateralize pretty much any asset on the Ethereum blockchain. Now at first glance this seems to me as a double edged sword; on the one hand you are opening up to a multitude of assets, increasing the potential collateral pool and thus amplifying the amount of DAI that can be issued, smoothing out some of the demand side pressures in the stability of DAI. On the other hand however, given that we are still some way off from tokenized T-Bills (on the Ethereum blockchain no less), it seems that by widening the spectrum of tokens  you are introducing in the collateral pool, the total volatility that the collateral pool is exposed to, increases as well.

Consider the following plot for example. The volatility (sigma) of the daily returns of a swathe of popular ERC-20's that could be used in the collateral pool, in the year between Oct. 2017 and Oct. 2018, was actually higher than Ethereum's in ALL cases. For specificity, ETH's volatility was at ~0.05, while the average volatility of the basket of tokens (weighed by market cap) stood at ~0.11 - almost double of that in ETH.

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Let's then take a look at what would happen as to the total volatility exposure of the collateral pool as we gradually introduce more ERC-20's to the mix.

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As you can observe volatility exposure increases by more than 50% once 40% of the basket is composed of ERC-20's. If we approximate the likely final distribution by market caps, it would look more like a 15% ERC-20's in the total pool - which would approximate to a volatility profile of 0.68, or a 20% increase from current levels.

In any case, not insignificant, and to compound that it is unclear how much bandwidth the higher absolute value of the collateral will provide in offsetting the increased volatility effect. At least at a high level, if demand grows in line with supply, and the collateralization ratio remains the same that shouldn't impact the net effect of volatility.

There is an argument here to be made about the unavailability of the ERC-20's that are locked in collateral, helping smooth out volatility and put upwards pressure on the price, due to scarcity, but also, I imagine that the prime candidates for inclusion in the pool, are tokens that are already in cold storage and do not actively participate in the market - inc which case, the net effect is still intact.

However, there is another policy lever introduced in Multi-Collateral DAI (MCD), that will likely help control that increase in volatility; the DAI Savings Rate (DSR). A person who holds DAI can lock and unlock DAI into a DSR contract at any time. Once locked into the DSR contract, DAI continuously accrues, based on a global system variable called the DSR. There are no restrictions or fees for using DSR other than the gas required for locking and unlocking. The DSR is funded out of the Stability Fees paid by CDPs. For example, if the average Stability Fees collected on CDPs is 3%, it could be used to fund a DSR of 2%. The purpose of this feature is to help balance supply and demand of DAI and will be one of the monetary policy levers that decentralized Maker Governance can control.

It is a global parameter that needs to be adjusted often to deal with short-term changes in market conditions of the Dai economy. This is in contrast to Risk Governance, which is a long-term process that involves setting Stability Fees, and other risk parameters individually for each collateral type

This is more or less what we know so far. To avoid overload, I'll opt for a semicolon here and defer the final piece of the Maker DAO dive to Monday, where we'll look into the weaknesses of the model and the various criticisms around it. Till then, enjoy the weekend all! 

Part 5

We kick off the week with the final piece of the Maker DAO dive, focusing on the criticism around the system and product. We'll attack the points one-by-one, kicking off with the relative unpredictability of the stability fee.

1) Unpredictable stability fee: As we've explored previously, the stability fee is an annualized figure, paid once a CDP is closed. Once the fees have been collected, the smart contract platform transfers the MKR to a contract called the Burner. As no one has the ability to remove funds from that address, all MKR that is contained there is forever removed from circulation. Given that governance is executed by staking MKR, big holders have more control over the stability fee, thus making the EV of participation in the collateral pool more unpredictable for smaller entities - and thus governance more centralized. This might be a feature, as wider participation might just not be possible as it would ramp up the amount of noise in the decision making process. Participating in governance, as the value of the platform increases, comes with a prerequisite of increasingly higher resource commitment (time & effort).

 

2) Poor off-chain stabilization ability: You can't trade DAI for USD, therefore it becomes difficult for arbitrageurs to participate, as once again the EV is tied to collateral volatility, while the multiple steps necessary to close a CDP introduce a significant amount of friction. Therefore, as on-chain arbitrage is the only way to control stability, Maker DAO faces the same problems as other centralized digital currencies, including counterparty risk, and the risk of getting its accounts frozen or seized and shut down by governments.

3) Maker DAO doesn't scale very well: Given the above, as we have discussed in previous edition, it seems that Maker DAO's ability to scale, is somewhat capped - as its scalability is supply side driven and the responsiveness to demand side movements is somewhat capped by a time-lag. Hasu and Su Zhu did a good job in demonstrating this, so I am borrowing directly from their analysis: "...the combined market cap of all crypto assets listed on coinmarketcap is less than $300 billion. Let’s assume that Maker’s mature version will be able to include CDP types for crypto assets that cover 50% of the crypto market cap, and people want to put 10% of all tokens in CDPs. Then, with a 300% average collateralization they’ll have a maximum Dai market cap of $3.3 billion." Therefore, Maker DAO is more accurately described as a lending facility and less so as a stablecoin issuer.

4) The MKR token could be deemed a security: An often overlooked implication of the incentive structure here, is that the probability that the MKR token is deemed a security is non-trivial. A lot of that will be decided upon the case history that the SEC builds, and the degree to which they think that the pool of participants in the Maker DAO governance is decentralized or not. 

5) Low volumes in MKR introduces a liquidity risk: While Maker DAO ranks highly in mcap (~#30), its liquidity profile tells a different story. The lack of trading volume translates into substantial liquidity and systematic risks for MKR holders, as they might incur a substantial loss in transaction value when they liquidate or enter into positions. In some instance, illiquidity could cost investors 20% of the token price, and it is important to note that illiquidity increase during bear markets, which is further exacerbated in a black swan event where MKR is liquidated to cover losses.

6) Short-term multi-collateral DAI: As we have seen in recent communications of the team, the first stage of multi-collateral DAI, will include ERC-20 derivatives of ETH. However, almost all ERC-20s exhibit a higher beta than ETH, implying that stabilization in MCD will be *harder, not easier* when MCD is introduced.

7) General concerns with the role of Oracles in the model:  Oracles, in the Maker DAO model, are trusted third parties that provide the system with price feeds. The Maker DAO team, aggregates those feeds through a contracts called the medianizer - more on which can be found here. The system is fairly well thought out, however, be that as ti may, oracles still constitute an attack vector, as they can be corrupted. More on what the team is working on wrt oracles here.

 

The progress that the Maker DAO ecosystem has been truly remarkable, and in the process it has created millions of USD in value, particularly for its early investors and team. However, as today's section demonstrated, one must be cognizant of the fact that the project is still an early stage foray. A lot remains to be proven, and more certainty in MKR as a potential investment will be enabled once we know more about the MCD upgrade. It appears that at the moment a lot about Maker DAO is in a state of flux, as little is known about the impact of adding ERC-20s to the collateral mix, MKR's legal standing, and the reaction of the marginal CDP holder to price hikes in the stability fee. Hopefully this series provided readers with a good overview of how the model works and the various nuances around it - ultimately building a mental framework, upon which future judgements can be made on.

Beyond the hype on Uniswap

More recently, a lot of metaphorical twitter ink has been spilled over Uniswap, a DEX built on Ethereum, that has no underlying token and has been thus far built on the accord of Hayden Adams, with a couple of small grants from the Ethereum Foundation and balance.io.

It's pretty easy to understand why all this hype around the DEX, as since its launch in November, Uniswap has been recording some impressive growth numbers. Today we'll try to uncover if there is more to the application, than bored ETH whales moving money around, playing with the newest community toy.

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Uniswap is an on-chain market maker allowing the swapping of ERC20 tokens, as well as ETH to an ERC20, and vice-versa. It also allows participants to contribute to liquidity pools for any ERC20 token, and gain commissions in the form of exchange fees for doing so. The model looks a lot like the Bancor network, with the main differences being that (i) Uniswap charges no listing fee - Bancor requires staking BNT tokens to create a market, (ii) costs significantly less gas, and (iii) is entirely decentralized and therefore censorship resistant - whereas on Bancor, markets can be frozen.

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The removal of all those friction points in the model - compared to Bancor, has lead to Uniswap quickly attracting a non-trivial amount of ETH & DAI liquidity (plot #1 below), while it is increasingly attracting a larger share of the total trades executed on DEXes (plot #2 below).

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Uniswap uses thin delegateproxy contracts (similar to eip-1167, but using a different bytecode) for creating new markets, so it's extremely cheap. Market pairs also only exist from ETH-token, which means a token-token pair doesn't need its own market, it just needs the 2 tokens to have an ETH pair.

Another interesting element of the model, is the fact that there is no order book. Instead the trades get settled at an exchange rate provided by a simple equation - x * y = k . k is a constant value that never changes, whereas x and y represent the quantity of ETH and ERC20 tokens available in a particular exchange that ultimately determines the exchange rate. The curve below represents the possible exchange rate outcomes, at a high level.

Screenshot 2019-03-04 at 10.19.20.png

I'll avoid getting into too much detail about how that works (refer here for more context), but a good takeaway here is that the simplicity of the model, provides a compelling way for *smaller* trades to get executed without any of the order book woes (e.g. liquidity gaps).  This post from Ross Bulat on Medium describes the nuances of the model well - including the liquidity pool requirements and the key role of arbitrageurs in keeping the pool balanced.

Now, you might wonder why that's useful at all?! Well, in fact, as Token Analyst uncovered in a recent post, *small* machine to machine transactions (or contract to contract) actually outweight human to machine transactions on the Ethereum blockchain!

Screenshot 2019-03-04 at 10.19.25.png

Moving forward, as scalability comes to the Web 3.0 stack and along with it meaningful Dapps, we can easily imagine the proportion swinging heavily towards the machine to machine side of the pendulum, with nexuses of smart contracts interacting with one another and millions of micro-transactions taking place daily. In that instance, DEX protocols like Uniswap are likely to unlock their full potential, allowing Dapps to access instant pooled liquidity, without the risk of slippage.

Of course the slippage story is different for larger transactions via Uniswap. According to Ameen Soleimani of Spankchain, with $50K of tokens in reserve for trading, it takes $350 to cause 1% slippage, $2600 for 5%, and $5500 for 10%. Thus the model is inherently limited by the static pricing mechanism, and its utility is limited to smaller transactions.  That said, it's not hard to imagine a future where you have a range of different DEX protocols, for varying transaction sizes, and pooled liquidity.

Screenshot 2019-03-04 at 10.19.32.png

Liquidity of course, will not come for novelty, but rather for profit. As it stands, the liquidity providers on Uniswap are entitled to a 0.3% fee off every swap, on a pro rata basis. This is not the only way one can make a return on liquidity provision. The liquidity provider receives tradable liquidity tokens as a unit of account of what has been committed to Uniswap. These tokens can be subsequently provided as collateral to Maker DAO (or another DeFi application or protocol that has a market for those) in exchange for DAI, which can then be swapped for a PoS token (e.g. ETH 2.0), on which the liquidity provider can earn further revenue. Here's how Uniswap envisions the model. 

Screenshot 2019-03-04 at 10.19.37.png

Pretty neat, huh? Be that as it may, there is a big caveat here and that is that said returns are expressed in ETH terms (or in terms of any other ERC-20 that is offered for liquidity). As such, any price change in the underlying asset (e.g ETH), would cause a reduction in the value of the stake, relative to holding the original assets, in a way that the resulting losses could be greater than the fees received. Effectively, there is no reason for a liquidity provider to participate, except for if they are long ETHPintail has demonstrated this very effectively in his study of the net position of account 0xf369af914dBed0aD7afdDdEbc631Ee0FDA1b4891, the very first liquidity provider to the Uniswap smart contract.

Screenshot 2019-03-04 at 10.19.43.png

Given ETH's price swings, the net position of the liquidity provider has been negative for most of the time since engaging in the contract. At the same time, however, the user has been collecting fees, which implies that were the price of ETH to return to the same level it stood at when the contract was initiated, the user would have collected close to 12% annualised return. The same author, explores how providing liquidity to Uniswap compares to HOLDing ETH for different levels of ETH appreciation.

Interesting; it appears that providing liquidity for Uniswap is more profitable than HODLing for between 100% and 150% appreciation range in the price of ETH, but less profitable beyond that range. For more info on how that result was reached you can refer to the equivalent post here.  

There are a few more caveats to consider when assessing Uniswap's value proposition. First, each trading pair requires its own smart contract, so creating new trading pairs and markets could be quite costly and storage intensive. Yes, it only takes an ETH pair to create a new pair out of two ERC-20's (if ETH/ZRX and ETH/DAI exist on the platform, then ZRX/DAI is also possible), but still in considering the whole universe of ERC-20s (>3000), that is a lot of redundant smart contracts to store on a blockchain, that at present, has serious scalability issues.

Another thing to consider is that Uniswap is built entirely on-chain, which means it is more prone to front-running, and thus makes it expensive for market makers who may need to rapidly change strategies. It also means that speed is not part of the value proposition. Finally, Uniswap is provisioned for ERC-20 tokens alone, and has no apparent plans to support ERC-721 or other standards - which of course could change fairly quickly - but as it stands, limits its utility somewhat (thought truth be told, there's Boxswap for 721's, that does a pretty good job at covering that base).

In all, overlooking its limitations, it becomes fairly evident why Uniswap has managed to attract so much interest recently and with it, a fair amount of traction; an interesting model, with a simple UI/UX (see below), that managed to get off the ground with nothing but talent and a couple of grants. No ICO, no venture investment, no native token, no fanfare and big promises. In absence of all this baggage, it has managed to get adoption on the fly and put a compelling use case to front and centre of the small, but dynamic DeFi universe.  But above all, it has driven home what is a valuable lesson that many have chosen to forget; underpromise & overdeliver.

Beyond the hype on Moloch DAO

Recently, there has been a fair amount of hype in the Ethereum community around a new DAO, aimed at accelerating the development of public Ethereum infrastructure; Moloch. Named after the Canaanite god of child sacrifice, Moloch DAO is advertised as "a radical experiment in voluntary incentive alignment to overcome the tragedy of the commons". The objective of the project is to align the community of builders on Ethereum on a more granular level and remove roadblocks that Ethereum developers are commonly running into. The initiative is lead by Spankchain founder Ameen Soleimani; Connext.network developers Lane Haber, Arjun Buptani and Rahul Sethra; and Brainbot lead developer Heiko Fisch.

Stripping down the technobabble, Moloch is really a pay-to-play venture studio that will distribute grants to project teams, via smart contracts. One of the ways it's being pitched as, is an idea meritocracy that will direct funds to projects solving common problems in the Ethereum ecosystem (e.g. Layer 2 scaling solutions) by somewhat circumventing the red-tape involved in securing research grants from the Ethereum foundation.

At first glance, while a great initiative for the ecosystem, the concept of the idea meritocracy comes at odds with the participation fee. 

 

The pay-to-play element of the DAO manifests as follows: 

  • Prospective members, a limited number of whom can be processed in a day, must submit $5,000-worth of ETH and a proposal for how the DAO funds should be spent.

  • In return, they request a number of “voting shares,” with which they can vote on funding projects and on-boarding new participants. 

  • DAO participants have the power to approve applicants with good ideas that cannot afford the entry fee.

The incentive to co-operate (self interest = group interest) is coded into the DAO's structure, whereby, participants have the option to "ragequit" by exchanging their voting share for a proportional share of the DAO's funds. As such, the incentive structure, encourages pro-social thinking, as a participant's potential payout by rage-quitting becomes larger as the fund gets larger. Thus the incentives are designed for ALWAYS committing, IF you expect the value of the DAO to be larger in the next round. The idea here is based on literature on coordination games where positive network externalities increase in each round. 

In fact, the incentive structure of Moloch DAO looks a lot like the classic stag hunt game - hunters pool resources together in expectation of a bigger payoff (stag) than they could extract individually. The problem here is that if the rewards take multiple rounds to appear, and at the same time the participants see credible alternatives that don't require cooperation (hare), the incentive to defect from the group increases, along with the opportunity cost.

The counter argument from the architects here is that there is reputation involved, in a way that defecting from the DAO leads to reputational damage in a tightly knit community, such as Ethereum's, and a subsequent exclusion from future value creation - on and off the DAO. While that might be true, it's a concept that doesn't scale trust very effectively beyond the confines of the Ethereum community. Further, as a non-profit, the incentives to scale participation outside the community that will directly benefit by the proposals of the grantees, is low. Finally, another concern arises with the structure of the voting process. With potential for up to 7 proposals taking place over a 7 day period, it is unclear if the processing overhead for voters will be low enough to allow for actual meritocracy - and control for the effect of heuristics in decision making. The effect is compounded by the poor UX currently in place (some 126+ clicks required for a full cycle).

In all, this is an interesting experiment to follow, for all its potential shortcomings. If anything, it seems that introducing alternatives to the Ethereum Foundation for allocating grants is a good thing. Whether the model proposed by Moloch will succeed however, remains to be seen.

Token value accrual models; the good, the bad and the ugly

It happens again and again - in 2017, amidst the monumental bull run, it was commonplace for crypto pundits to exalt the properties of various token models. Most of you that were around in that time, will remember.

Conversely, now that prices have collapsed, often the very same pundits have been quick to switch sides, and bang the "tokens are worthless" drum. 

It seems fairly obvious to me that there is a lot of System 1 thinking at play here - most likely attributable to a mix of anchoring and bandwagon effects, and a positive feedback loop between price action and sentiment.

While many criticisms of token models have value, I suspect that we cannot come to conclusive arguments about value accrual just yet - only speculation. But also, until we have a suite of repeatable business and token models (like we do in the off-chain world), it is unlikely that we'll get to see what lies on the other end of the inflexion point in the adoption curve.

So, before we move on, cheers to the unsung heroes that are experimenting with all kinds of different models in honesty and good faith; without them, we will probably never find the pot of gold at the end of the rainbow.

Now, given that we have a lot more information about what works and what doesn't compared to a couple of years ago, it's worth recapping how the different narratives on token value accrual have developed over time.

For reference, I am borrowing the classification below from Fabric Ventures to help frame the discussion.

Screenshot 2019-03-04 at 10.27.00.png

After multiple boom and bust cycles, this is what I feel we know collectively about value capture in token economies. This is by no means conclusive, but rather a crutch in navigating a noisy landscape. If you have any thoughts on the classifications above, I'd love to hear them.

Screenshot 2019-03-04 at 10.27.12.png

If this appears to be too small, you can access the table here too.

At this point I wanted to note a few things, regarding the learnings we can take from this; (i) hybrid models seem like they have a lot of potential - combining properties artfully only widens the potential SAM, as a token can be different things to different stakeholders , (ii) taxi-medallion-like access tokens are the flavour du jour when it comes to narratives, but it might just hold ground, (iii) utility-come-payment tokens are dead in the water, as they introduce hurdles to adoption and that (iv) the jury is very much still out on governance tokens.

Statefulness and value capture

One of the themes that has really stuck with me from the past couple of weeks on the road, is the idea that "tokens that govern state will accrue value, while tokens that govern schema won't". Here, I am looking to unpack this argument, touching on topics of statefulness vs statelessness, governance and value sinks. We'll start by understanding what statefulness is in a software context.

Stateless vs Stateful

State is the bulk of information referring to preceding events or user interactions, stored in a protocol (or programme) from t=0 up to t=n. A computer program stores data in variables, which represent storage locations in the computer's memory. The content of these memory locations, at any given point in the program's execution, is called the program's state.

By extension then, a stateless protocol does not require the server to retain session information or status about each communicating partner for the duration of multiple requests. Examples include the Internet Protocol (IP), which is the foundation for the Internet, and the Hypertext Transfer Protocol (HTTP). Conversely, a program is described as stateful if it is designed to remember preceding events or user interactions. In stateful protocols, information about previous data characters or packets received is stored in variables and used to affect the processing of the current character or packet.

Statelessness imbues software with fast performance, reliability, and the ability to grow, by re-using components that can be managed and updated without affecting the system as a whole, even while it is running. In contrast stateful protocols, provide continuity and are more intuitive (since state related data are embedded).

Statefulness and value over time

Blockchains and smart contracts platforms, are in their majority, stateful. By definition, a blockchain is a database of past states - such that the further away we move from t=0, the more stateful it becomes. This is equally true for Web 2.0 systems, but especially true for blockchains.

Consider the following example: a user may interact with the service to address a personal need, for example, to find a certain website with the aid of a keyword query. The service satisfies that need by returning a list of results, but a byproduct of the user’s action is the service improving its global state - e.g. with every new search queried, Google's algorithm is more informed than before, and therefore better able to deliver optimal results for all future users.

So it appears that while code is of paramount importance to kickstart a software system, as time goes by, the value migrates from the code to the state captured by the programme/protocol. A service’s reliance on state makes it fundamentally different than a tool. A service’s software, when instantiated, creates a vessel for persistent state. It starts off empty and becomes useful only when filled with data, users or both. State compounds and becomes more valuable exponentially. Code, while crucial for the stable operation and evolution of a service, becomes less important and necessary to defend.

As Denis Nazarov of a16z has noted in the recent past, "blockchains are too slow to do any computing that is really interesting aside from their one redeeming feature: they maintain “state” incredibly well", while concluding that they are probably the best “state machine” invented to date — properly aligning the incentives to coordinate a network of machines distributed globally that maintain this state of truth without an intermediary.


Statefulness and value capture

So, from the above, it follows that (i) stateful protocols have memory; the more memory they accumulate, the more valuable they become and (ii) value migrates from code to state over time. At the same time, (iii) the more memory stateful protocols and apps accumulate, the slower they become and (iv) blockchains are the best state machines invented to date.

Granted all of the above then, is there truth to the statement - "tokens that govern state will be valuable, tokens that govern schema won't"?

Since blockchains are in effect databases, we can define schema as the overall design of the database -  the skeleton structure that represents the logical view of the entire database. It tells how the data is organized and how the relations among them are associated. Conversely, as mentioned previously, state refers to the content of a database at a moment in time.

It then follows that as governance of an open source system comes into place, the value accrues increasingly more to the ability to influence future state. In other words, having influence over the terms that influence state (e.g. Maker DAO liquidation margins) is more valuable relatively to having influence over how those terms come into effect.

On token economies as an evolution of multi-layered platforms

Key takeaways of today's Daily:

  • Token economies have the potential to become the next evolution of multi-sided platforms.

  • Token based exchange among all parties involved in token economies, is a multiplier to the overall value of the token economy. 

  • Fragmentation leads to loss of the multiplier effect and sub-optimal incentives for the supply/infrastructure side.

Lately, I've been doing some thinking on token economies. In today's newsletter, I'll try to set the foundations for those thoughts as succinctly as I can. At a very high level, we can make a compelling case for token economies being the next evolution of multi-layered platforms, where multiple markets collide into a compelling ecosystem, bound by a quasi-sovereign currency for the micro-economy.

In that token economy, you have multiple parties involved, which can be distinguished in 3 main groups; the creator of the blockchain - the foundation that provides with the initial protocol as well as the follower contributors, the marketplace - where content creators and consumers meet to exchange goods and services, and the infrastructure providers - the miners, validators and other network service providers that secure the whole thing. I've taken my best shot (in the short time between last night and today) to map out how the flows in a well functioning token economy might work, and presenting you with it below;

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The areas above represent the different groups and within them the different parties that bring value to the ecosystem. Notice that I have given roughly 80% of the notional value contribution (area size) to the consumers. They are the ones that eventually will bring the majority of the value ad to the ecosystem, allowing it to absorb value from the world outside it (via fiat money or other tokens - foreign investment of sorts) and ultimately enter maturity. The dark arrows represent the token flows, and the white represent the fiat flows (subject to revision). I think that an important underlying implication of those flows is that as in traditional economies, there is a multiplier effect to the value created once all activity on the ecosystem is facilitated by the native token. The more it circulates between all parties, the higher its value should be. Further, the more consumers come on the ecosystem the more fiat gets absorbed by the token economy and thus the token value inflates. Let's now briefly explore what happens when you allow fiat flows on the marketplace side of the ecosystem.

AA.png

In a nutshell, the ecosystem becomes fragmented and as such the potential token value diminishes. Now does that mean that it will not be valuable at all? The answer here is probably no, as there are still flows between the infrastructure side and the creators on the marketplace side. However, those flows are smaller than in the case with consumer participation, the token value is capped and thus sub-optimal incentives are produced for the infrastructure side of the ecosystem. Ultimately, the multiplier effect never kicks in, as the main fiat bridge to the token economy is burned, and instead of a token economy, our thought experiment degrades to a platform.

In this case, the big question is whether the said token flows will produce strong enough incentives for the infrastructure side to join the platform in a meaningful way and stay there for the long haul...

Decentralization and the valley of death

We are observing an interesting trend as of late; prices drop, producing disincentives for miners and validators to participate in securing the networks and as such, the level of decentralization diminishes, ultimately leading to the probability of the network being compromised increasing significantly, as the cost of mounting a 51% attack drastically reduces. This year, some of the most prominent cases have been Bitcoin Gold, Monacoin and Verge. All it takes is funds to rent enough hashing power to control 51% of the network and some technical knowledge to mount the attack. Let's take a quick look at what that implies for the industry overall;

 
Screenshot 2019-11-28 at 18.32.16.png
 

Blockchain networks that will survive ought to be either sufficiently decentralized with wide participation or outright centralized. Otherwise they're stuck in the middle and bound to eventually wither away. On the left hand side of the plane we might see applications in federated, low trust environments (e.g. inter-bank clearing systems), while on the right hand side applications will tend to low trust environments with wide participation of parties (e.g. super-sovereign money or DAOs). I am increasingly of the mind that whatever is in the red, should not exist. Let's now have a look at what happens with trust on the y axis.

 
Screenshot 2019-11-28 at 18.32.46.png
 

The problem with centralized networks is that except for if they are represented by a trusted institution (like the US government?!), the amount of trust that goes into it diminishes sharply (think Facebook, LIBOR etc). Of course, we have to consider that the majority of users of various services the world over, are willing to sacrifice some trust and security for performance and convenience. However, we should also consider that before the Bitcoin blockchain, the option of high trust and security was not available. Excited to see what kind of applications the future brings on the right hand side of the plane!

The king is naked

The Diar has recently published some data on the treasury balances  of ~100 crypto projects' ICO wallets, and I thought it would be interesting to run a few analyses on the data and see what sort of insights (if any) we can elicit. Before we dive in, it's useful to note that the projects examined here only represent 5-10% of the whole. There is a multitude of other projects that are not included in this dataset - or any other publicly available dataset as far as I know. If you happen to know of a more comprehensive resource, do get in touch. Now without further ado, let's get to it;

Screenshot 2018-11-27 at 11.47.38.png

The first figure shows the total ETH balances in the projects' wallets and how that figure has been shaped over the course of the year. The total wallet balance has decreased by 17.8%, while ETH's price has decreased by ~90% from January 2018. Putting two and two together, this amounts to a 92% decrease in the USD value of those holdings. In absolute terms, the average project's treasury, lost about $38M in potential value held, since January - see figure below.

Screenshot 2018-11-27 at 11.47.45.png

Theis is a summary of the simple average size of a random project's treasury, accross 2018, expressed in USD terms. The dark area represents the actual value of the treasury, while the light shaded area, represents the value lost due to ETH's price depreciation. In order to highlight the degree of potential mismanagement, let's run a quick thought experiment; starting out in January 2018, project ABC has $55M in its treasury. Let's also assume that the optimal budget distribution for ABC, looks something like what's presented below. 

 
Screenshot 2018-11-27 at 14.39.33.png
 

The above implies that ABC can hire approximately 60 professionals (engineers, ops, marketing), at Silicon Valley salaries (~$180k a year average), and keep them employed for 3 years. While I don't have concrete numbers on this, last time I checked, most projects that raised in  2017 are not on a hiring spree of that magnitude. Let's further assume that ABC actually consumed 17.8% of the $55M they raised (approx. $10M), out of which $5M is committed towards payroll (by the above assumptions). With that they hired 9 people, which sounds about right. Now, had they managed their finances optimally, they would still have enough money to hire another 50 people to help them build and ship. What the reality points to is that they can actually hire about 3 more people at SV salaries and keep them employed for 3 years. That's a tentative loss of 47 high quality professionals. Wow! Surely there was no CFO among those 9 hires that ABC went ahead with in 2018...Note that we are talking about are technology organizations that have raised money to deliver a product/network - not finance shops. As such I don't see how they can justify being long ETH.

Now let's have a quick look at how the total ETH liquidation activity relates to the price of ETH.

 
 
 
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The correlations here are not very revealing;  there is a positive 30% correlation (relatively weak) between this month's ETH liquidation and next month's %D in the price of ETH and a negative 40% correlation between this month's ETH liquidation and this month's %D in the price of ETH . In other words, there is some correlation between projects selling ETH and the price of ETH dropping, but it seems to not be the most compelling reason why. Again, we are only tracking ~5% of all projects here, so there is a chance that the correlations would increase if we had a more complete picture.

To round off the analysis, let's take a look at how specific projects have managed their treasuries thus far.

The dark area signifies how much the project's treasury was worth in USD terms in January, while the the light area represents the % of the treasury that the project consumed (or liquidated to USD). There are a few key observations here; (i) the distribution between total value in January and amount consumed is random, (ii) the amount consumed has not impacted price overall (for most projects) - one would assume that better management would translate to the market pricing that in and (iii) some of the most hyped projects, like Tezos and Golem, have consumed none of their ETH holdings in 2018. 

There are a few conclusions that really stand out here; (i) the average project has no idea how to or low interest in managing their treasury and part of that lack of activity is most likely owing to the fact that (ii) in 2017 projects  raised way too much money, compared to what they needed to ship product. It would also appear that (iii) many of the teams succumbed to the whims of an anchoring bias, and while the USD value of their ETH holdings 2-5xed over the course of 2017, they didn't bother to liquidate some, as that was way over the amount that they initially asked for. Of course, this is something that we  already knew, but interesting to see how it has played out over time. This abundance of (notional) capital, surely did not create an optimal incentive structure for the teams. 

As the industry matures, the need for diverse skillsets is evident, as is the current lack of design and ops/finance people in crypto - despite the increasing flow. While there are many things wrong with the "real world" that crypto has the potential to improve, there are equally many things done right, that crypto would be better off adopting. 

It's raining stablecoins

The more stablecoins I see, the more conviction I get behind my original thesis of "if you don't participate in all/most, don't participate in any" - bar very high conviction in a specific version of the future. The idea here is simple; stablecoins are exceptionally risky business. Besides the fact that the architectures of stablecoins (not dollar backed coins, like the ones launched by Gemini and Paxos) are very likely to prove fickle and in the end faulty - Preston Byrne lays down some great arguments here, and that the value capture mechanisms that connect the stablecoin with the governance token (which is what the investor would hold) are oftentimes murky, the stablecoin market is highly competitive with very low barriers to entry. Since early-May, when the first conversation around stablecoins was had with me on board, the number of stablecoins launched or to-be-launched has more than doubled (check the stablecoinindex.com from Multicoin's Miles Snider for a comprehensive list of those projects). Effectively then, with every new project launched - or even announced, the future value of all others, bar the winner perhaps, is eroded. And I believe that this will be a winner takes most market.

Let's take the current de-facto market leader, Tether, for example. Many alternative models have come to challenge for Tether's market share in the year past, yet none are succeeding thus far. What is truly astounding here, is that Tether hasn't been trying very hard to keep their image polished, with a fully recognized audit still pending and many scathing op-eds and even outright accusations about their model being thrown left and right. Then again, when you totally dominate a market (as evidenced by the charts below), why would you care? What I suspect Tether really has going for it, is first mover advantage and with that, "eyeballs".

What the dot com era taught the world - drawing a parallel to yesterday's analogy of the current market state being similar to the post dot com bubble era - was that attention can be converted into revenue and thus claiming attention real estate first in an emerging industry/market, can really make or break your business. You could very well argue, that Tether's monopoly is one implosion away from deconstruction. Nevertheless, as time passes, we cannot discount the fact that the first mover amasses more resources, gets smarter, and prepares for the next stage of evolution. Without perfect information about what happens behind closed doors, we cannot discount how the Tether camp is evolving in structuring the dollar backed coin's offering in response to emerging competition.

However, for the sake of the example, let's examine some scenarios in which Tether is dethroned and who might take its place. Without having extensively scrutinized the subject, there are two scenarios that jump most prominently to mind; (i) Tether implodes after a reveal that only 10% of its value is backed by actual dollars locked up in a vault and (ii) a wall of institutional money (tens of billions) enters the market and flocks to the most transparent and regulated stablecoin, in which case Tether's market cap remaining at $2-$3B will deem it sidelined as a market follower. In both cases, it is highly likely that after a brief period of reshuffling, there will be a new stablecoin king that will devour over 95% of the market, with the main reason being attention and the second most important being interoperability between exchanges and other services, where a holder can move their stablecoin to store or spend. I suspect both of those reasons power the dollar as the global reserve currency and gold as the most widely accepted store of value. Probably the same reasons why in traditional markets, we don't deal with USD #1, USD #2 all the way down to USD #99; rather just USD.

With that in mind, if I were to make a prediction on who would claim the top spot in case either of the two scenarios above came to pass, I would be inclined to say that it would be the institutionally backed, fully regulated alternative. The reason why is that if we assume that as the market matures, more institutions join the dance, those very institutions would much rather entrust their capital to such a product, rather than an unproven technological solution. As those institutions then would populate the new ecosystem, the rest of the market would follow fairly quickly - due to positive signalling, crowning a new king and leaving the rest in the dust.

In any case, the announcement of Gemini Dollar and Paxos Standard is a positive development and a sign that the crypto market is making decisive steps to maturity.