Valuation Components: Total Addressable Market

Total Addressable Market, abbreviated TAM is the total amount of value which could be expected to flow through a cryptocurrency across all use cases.

It’s used in the ESC valuation framework to calculate cryptocurrency price floors, and in tokenomic architecture, analysis, and design.

All else equal, a cryptocurrency or token with a larger Total Addressable Market, following the principles of tokenomics, will have a higher price.

Components of Total Addressable Market

A currency’s TAM and its components come from each of its use cases.For example, Ethereum’s native token, ETH has multiple Total Addressable Markets.

ETH is used to pay fees for all of the applications running on the Ethereum network. Demand for payment of ETH fees is one component of its Total Addressable Market.

ETH also used to collateralize other tokens – Dai, for example. So another of ETH’s Total Addressable Market is use as collateral.

This in turn comes from demand for Dai (a stablecoin with many uses) and varies with Dai’s capture of its Total Addressable Market.

To maximize ETH’s fundamental value or price floor, these two use cases must be maximized.

When seeking to maximize a token’s price, TAM should be made large.

This is generally done by having a token transfer large amounts of value, or giving it many uses.

Valuation Components: Circulating Supply

Circulating supply is the number of coins (cryptocurrencies, tokens) *in circulation*.

Circulating can mean this week, this month, or this year.

The time frame isn’t important, so long as it’s consistent across components of the equation of exchange.

For example, if *circulating supply* means “coins which moved within the past year,” V, velocity should also measure those specific coins.

Read about types of supply in Market Cap is a Bad Metric to understand why circulating supply fits with the Eat Sleep Crypto valuation framework using the equation of exchange.

Valuation Framework: Cryptocurrencies

Fundamentally, cryptocurrencies get their value through use as a medium of exchange. This includes cryptocurrencies paid for goods and services, and tokens paid for fees, collateral, and other tokenomic levers within a protocol.

Most cryptocurrencies and tokens are best valued using the equation of exchange.

The equation of exchange was first derived by John Stuart Mill, referenced by Adam Smith, and popularized by Milton Friedman.

Using the equation of exchange and circulating supply, we can calculate the fundamental value (and minimum sustainable price, price floor) of each unit.

Equation of Exchange Components

The equation of exchange, MV = PQ, describes how a token’s use as a medium of exchange drives its price.

Solving for M, the equation reads intuitively.

M = PQ/V

For any given time period, M, the monetary base is worth the total value of purchases (PQ) divided by the number of times each coin is used (V, velocity or churn).”

For example, if CashCoin is used to buy $1,000,000 worth of products per year, and each CSH is used an average of 5 times, the variables are as follows:

  • M, unknown
  • PQ = $1,000,000
  • V = 5

Solving for M using M = PQ/V gives us M = $200,000.

So the monetary base of CSH is $200,000.

Solving for p, Price Floor

Now imagine there are 10,000 cashcoins.

We can easily solve for the price of each, dividing monetary base, M by circulating supply, c.

$200,000/10,000 = $200 per CSH

Note that this only concerns circulating supply of CSH.

Coins which are lost, locked up, or in cold storage are not part of an economy – they’re not subject to supply and demand.

Stored coins may be relevant to speculators, but speculation is not priced in directly; the price floor of a cryptocurrency and its speculative price premium are different.

Price floor vs speculative price premium

A cryptocurrency’s price reflects:

  • Fundamental value, price floor
  • Speculative price premium

Cryptocurrency price floors

Fundamental value reflects supply and demand for a cryptocurrency as a medium of exchange.

This fundamental value is a price floor – a price a currency will not sustainably trade below.

When a currency trades at its price floor, volatility will naturally cause it to dip below, but buying pressure from aggregate demand brings the price back up.

A currency might trade below its price floor, but not for long.

Speculative price premium

The rest of a cryptocurrency’s price is speculative.

It may be rational to price in future returns (see Burniske’s DEUV), but it makes sense to distinguish speculative premium from fundamental value.

Price/price floor ratio is a meaningful measure of risk/reward – the closest

Most cryptocurrencies’ price floor can be extrapolated from on-chain data.

Identifying price floors using on-chain data

Dune Analytics is a free, open-source chain analytics platform.

Price floors can be worked out using on-chain analytics.

The components of price floors – circulating supply, velocity, and total purchases are all found on-chain.

Some on-chain data, like ERC-20 token data is easy to interpret. ERC-20 transactions are easy to reconstruct from blockchain analysis.

Commercial transactions on medium-of-exchange currencies are harder to distinguish from speculative trading, self-transfers, mixing, but it can be done.

Determining which transactions are speculative, self-transfers, part of mixers using just metadata requires getting creative.

Conclusion

This cryptocurrency valuation framework is used to identify and take advantage of price floors, calculate risk/reward ratios, and engineer tokens with price floors using the principles of tokenomics.

Further reading:

Tokenomics 101: Tokenomic Levers

Tokenomic levers are features of a protocol which capture value.

The degree to which a tokenomic lever affects value capture is called tokenomic leverage.

The three types of tokenomic levers act on corresponding components of the equation of exchange.

  • Supply levers capture value by decreasing circulating supply.
  • Demand levers increase demand for tokens, raising PQ, Total Purchase Amount in the equation of exchange.
  • Velocity levers capture value by decreasing a token’s velocity.
    • Velocity levers are only hypothetical. Discerning coins based on velocity (e.g. coin age) would destroy a their fungibility, one of the key properties of money.

Tokenomic levers’ effects on value capture are proportional to their input.

Supply-side tokenomic levers

Supply-side tokenomic levers are one of two types. They decrease circulating supply of a token, which increases its value according to the cryptocurency valuation framework.

Examples

A cryptocurrency’s utility value or price floor is proportional to its use as a medium of exchange. The total value of all circulating coins, called monetary base, M is solved for in the equation of exchange.

All else equal, less coins circulating makes each one more valuable.

Tokenomic mechanisms which decrease circulating supply in this way include:

  • Burns
  • Collateralization
  • Staking
  • Lockups

Demand-side tokenomic levers

Demand levers, or mechanisms are another type.

Demand levers increase demand for a token, reflected as an increase in PQ, Total Purchase Amount in the equation of exchange.

Examples

Cryptocurrencies capture value through use as a medium of exchange.

Other kinds of tokens capture value differently.

Examples of demand levers include:

  • Fees
  • Collateral
  • Dividends

Velocity Levers

Velocity levers must be hard coded into the protocol, which affects user experience, but limited examples exist.

Velocity levers can be justifiably imposed when gas costs are a concern – e.g. implementing a bi-weekly “paycheck” in a protocol where payments are accrued, in order to distribute tokens, rather than forcing users to pay for their own withdrawals.

A slowing of velocity can be measured in other components of the equation of exchange.

For example, a coin age scheme which incentivizes holders of a token to hold funds for longer periods of time will tend to split their coins between “old” and “new,” increasing the velocity of “new” coins and taking the “old” coins out of circulating supply. [[Valuation Methods; Determining Coin Age]] schemes are one example of tokenomic mechanisms which affect velocity.

Tokenomics 101: Tokenomic Leverage

“Give me a lever long enough, and a place to stand, and I will move the Earth.” – Archimedes

In the physical world, mechanical leverage multiplies the force of a given input. Similarly, tokenomic leverage multiplies value capture by affecting supply and demand.

Currency-like tokens capture value when used as a medium of exchange.

Adding leverage through tokenomic mechanisms in a protocol increases supply and/or demand pressure for a token, specific to the type of mechanism in use, by increasing the value exchanged through that token.

For example, staking decreases circulating supply by the amount staked; fee increases for an application increase the demand for the token used to pay fees.

Illustrating Tokenomic Leverage

first-class lever

Tokenomic leverage mirrors mechanical leverage. Using the analogy of a first-class lever, we can say that:

  • Value being exchanged in a mechanism is the force applied to end of the lever.
  • Value captured is the output of force from on the other end.
  • Tokenomic leverage is the ratio of the distances of each force from the fulcrum.

Tokenomic leverage example

The ratio of value captured to value created or transferred is called tokenomic leverage.

Higher tokenomic leverage in a mechanism or protocol overall is analogous to higher profit margins in a traditional business.

Tokenomic mechanisms further up the hierarchy of value capture have higher leverage. And it’s possible to have a tokenomic leverage greater than 1 – indicating more value is being captured than created.

Synthetix’s tokenomics are an example of high tokenomic leverage.

Users of Synthetix can create sAssets – synthetic TradFi assets collateralized by several times their dollar value in SNX tokens.

Synthetix governance decides this collateralization requirement, but it generally stays between 300% and 500%.

This means that SNX will necessarily be worth 3-5 times the value of all necessary sAssets.

So the tokenomic leverage of this mechanism in the protocol is between 3 and 5, depending on the current collateral requirement.

This is only possible because the protocol has a monopoly; higher tokenomic leverage requires extreme defensibility.

Synthetix’s collateralization mechanism introduces economic security issues only mitigated by active management of the c-ratio, and heavy inflation. As a result, Synthetix has begun to pivot its design toward other tokenomic mechanisms with lower value capture, illustrating tradeoffs between the principles of tokenomics.

Conclusion

Archimedes’s assertion – that simple mechanical leverage at scale was sufficient to move the Earth – was a bold and groundbreaking claim.

Tokenomic leverage is just as powerful, yet it’s highly underappreciated. It’s a key component of value capture – one of the three principles of tokenomics.

Even those with a deep understanding of tokenomics miss opportunities to apply leverage to their token. Others go But adding leverage to a token is one of the simplest, yet most effective ways to increase its price floor.

If you or a project you support is in need of tweaks to its design to increase leverage and maximize its value, reach out to us for a free consult.

Tokenomics 101: Value Capture

In a talk at Stanford, Peter Thiel called value capture the “most important, yet least understood” aspect of business.

Value is captured by a business by taking profit. Value captured is the percentage of a product’s total value taken as profit.

In his book Zero to One, Thiel describes the problem of inadequate value capture.

Examples of inadequate value capture include a business selling widgets valued at $10 for $5 (undercharging), or another business selling a widget for $10 which costs them $5.

A business may have inadequate value capture because either it doesn’t charge enough, or costs incurred are too great a percentage of revenue.

In both cases, less value is captured than is created, and at a certain point, inadequate value capture leaves a business economically unviable.

Similarly, inadequate tokenomic value capture allows price to stagnate with adoption and leaves a blockchain vulnerable to economic exploits.

Value capture in tokenomics

Tokens and cryptocurrencies miss opportunities to capture value when they are either not used in ways that raise their price floors, or used in insufficient quantities.

Cryptocurrencies primarily derive value proportional to their use as a medium of exchange (see How to Value Cryptocurrency).

So, a currency that is used to pay fees in a protocol is valuable proportional to the value of fees paid. If such a currency is only used for fees, it is only as valuable as the total amount paid in fees.

Inadequate tokenomic value capture becomes a security problem when a blockchain’s native asset (e.g. Ethereum’s ETH) is used exclusively for paying fees when that chain is securing other valuable assets.

For more on blockchains’ economic security:

Valuing cryptocurrencies is much different than valuing companies, but the concept is the same – inadequate value capture dampens the value proposition of a business; ditto for a token or cryptocurrency.

Why value capture matters

Without adequate value capture, cryptocurrencies and tokens are vulnerable to massive price crashes, and if the tokenomics of a blockchain’s native asset is not considered by developers of token protocols, those protocols may incentivize economic exploits through perverse incentives.

When a token’s value capture and other tokenomic components are properly considered, a token’s price increases steadily with its use in applications, and it strengthens the blockchain network on which it’s built.

If you or a project you know need help designing a protocol or would like input on your project’s tokenomics, reach out to us for a free consult.

Tokenomics 101: What Are Tokenomics?

Tokenomics describe how a token’s use affects its price.

Good tokenomics increase a cryptocurrency or token’s price and prevent bad actors from destroying or weakening a network.

Poor tokenomics leave tokens and blockchain networks vulnerable to economic exploits which arise from a lower-than-possible price of a token, disappointing users and investors.

When considering tokenomics, incentives are everything.

Charlie Munger is Warren Buffett’s business partner.

Munger also famously said in regards to management practices: “show me the incentives, and I will show you the outcome.”

What you incentivize is what will happen – even more so for blockchains.

In management, incentives are malleable. In decentralized protocols, changing analogous incentives requires a complete overhaul. Changing tokenomics requires consensus to avoid fracturing network effects.

Token economists design protocols to be maximally secure, and maximize token value by applying tokenomic leverage and value capture according to the principles of tokenomics.

Many projects leave tokenomics to chance, relying on speculation to create price support. This leaves them vulnerable and all but ensures 95% drawdowns, and subsequent abandonment by users.

Good tokenomics give cryptocurrencies and tokens a price floor – a price at which they can’t sustainably trade below.

For more on price floors, follow Eat Sleep Crypto on Twitter, and stay tuned for the release of Cryptocurrency Price Floors.

Token Economic Analysis, Token Flow Modeling, and Token Engineering

Background

If you’ve spent any time on this site, you’re likely familiar with the Equation of Exchange, MV = PQ.

This simple equation, first derived by John Stuart Mill and later popularized by Milton Friedman is the foundation of all our work.

The equation of exchange can be applied at a high level to quickly calculate price floors of a currency based on a few inputs or assumptions.

It can also be applied at a micro-level to tweak the economics and incentives of a cryptocurrency or token for maximum value capture.

If any of these terms are unfamiliar, you can refer to the Glossary page for their definitions.

Goals of this project

  1. Token analysis script
  2. Token flow visualization
  3. Token engineering framework

Token economic analysis

The first goal of this project is to create a script that parses transaction data of a given cryptocurrency or token in order to find components of its price floor according to the equation of exchange, MV = PQ.

Simple pulls include contract events and token transactions that take place within the token protocol to find PQ. Calculated components include circulating supply and address balances over time to find V.

Token flow model

Using variants of the equation of exchange, token flow can be modeled within an ecosystem.

A novel way to do this is by using a Sankey diagram.

sankey-diagram-token-economic-flow-model

The Sankey diagram takes its name from Irish Captain Matthew Sankey, who used it to model the energy efficiency of a steam engine.

Sankey compared the real energy efficiency of an engine to its ideal efficiency.

While Sankey was interested in energy efficiency, we are interested in value capture.

Value is most commonly captured by tokens when they are used as a medium of exchange, denominated in another separate unit of account – e.g. an expenditure of $10,000 worth of Bitcoin.

Components in a token flow diagram

Objects in a token flow diagram represent participants in the ecosystem within which a token circulates.

Value transferred via transactions is represented by the connections in between.

The dimensions (height x width x length = volume) of the “pipes” representing these connections represent:

  • Tokens circulating in an ecosystem (circulating supply)
  • The value transferred between participants in an ecosystem (PQ)
  • The time a token takes to circulate, represented by length of all pipes (V)

Token flow diagrams denominated in native units (e.g. BTC) and those denominated in another unit of account (dollars) can be overlayed to solve for the price floor of each unit.

In this way, token flow diagrams become a visual aid in calculating price floors.

Token economic engineering

Sankey diagrams are fitting for token flow visualization for more than one reason.

Sankey’s hallmark example of a steam engine makes for an excellent analogy to token ecosystems for our purposes of designing and refining the token economics of a protocol, token economic engineering.

Like steam engines, cryptocurrency protocols have mechanisms which direct the flow and efficiency of energy.

In our models, energy is economic “potential” energy, represented by tokens with purchasing power.

Keeping with the steam engine analogy, the “goal” of token economic engineering is to first to increase the volume of the pipes, and second to decrease the number of tokens flowing through them.

We discuss various ways to do this on Telegram, and we collaborate with each other in reaching the goals described above.

If you’d like to collaborate, send a message to @EatSleepCrypto on Twitter for an invite.

The role of Bitcoin in the coming Cashless Society

During the manufactured crisis of 2020, governments worldwide have ramped up the war on cash.

With governments intentionally exacerbating cash’s problems, bureaucrats fanning the flames and Central Bank Digital Currencies being fast-tracked, the thought that crypto might soon come under fire carries a palpable sense of fear in the minds of many.

Under this scenario, agorists, voluntaryists, and crypto-anarchists imagine a technocratic dystopia, in which none are free from the watchful eyes of the government-tech coalition.

Due to their independent-mindedness, dissidents would find themselves excluded from the mainstream financial system, severely limited in their travel, with only a barter economy and perhaps precious metals as a medium of exchange.

It’s a nightmare of a vision, but thankfully, things don’t seem poised to develop that way – at least not to the extent many imagine.

That’s because even a cashless society, cryptocurrencies will still be accessible and liquid.

Even if cryptocurrencies are fully banned, there will be loopholes.

General government incompetence, and the limited will of the state to enforce its laws guarantee necessary space for agorists to operate.

It isn’t entirely likely in a cashless society that cryptocurrencies would receive a full ban. Politicians always leave themselves an out, and cryptocurrencies are second only to cash for preserving financial privacy.

Cash is extremely useful to politicians accepting bribes and laundering their ill-gotten gains. They are simply unlikely to let such a tool go without a suitable replacement.

Bitcoin Cash in a cashless society

Bitcoin – a placeholder for decentralized, scaleable cryptocurrencies – is more than we know.

It will be the rails of the counter-economic underground railroad. This term, borrowed from Derrick Broze describes the infrastructure agorists, voluntaryists and the like will need to transact freely in a cashless society.

Sepia Railroad Tracks V Photograph by Athena Mckinzie

Among the innovations Bitcoin already enables are stablecoins, blockchain-issued equities, trustless communication, decentralized marketplaces, and trustless financial derivatives.

The vast majority of these innovations are happening on Bitcoin Cash, which at present is also the only cryptocurrency with such capabilities that has proven its security model and can actually scale to meet demand.

Today marks Bitcoin Cash’s third anniversary of independence from BTC. So we celebrate all of Bitcoin Cash’s innovations and look forward to its future contributions to the counter-economic underground railroad, and the freedom it enables.

Happy Independence Day, Bitcoin Cash!