We upgraded from DeFi 1.0 to DeFi 2.0. What does that mean for the economics?
Here's Tokenomics 2.0 🧵
TLDR: economic balance.
DeFi 1.0 was to build the infrastructure and tools in finance. Think of it as the basic foundation in your skyscraper.
DeFi 2.0 is to use that existing foundation and built that skyscraper.
E.g. stablecoin for transaction.
Interest-bearing stablecoin for capital leverage.
Tokenomics 1.0 is to realise the existence of the tokens to create value. To look at bootstrapping your community with tokens, gov tokens, native incentives.
Tokenomics 2.0 is to leverage the community and start looking at long-term value growth.
We look at general cycle flow: value creation -> value distribution -> value realisation
(FYI: That is the basic core definition of #economics)
What is that?
Value creation = long-term growth
Value distribution = short-term growth and asset inflation
Value realisation = real value growth to your active users
In Tokenomics 1.0, we focused a lot on yield farming, short-term growth, token inflation, and hopefully real value to your users.
The conversation now is to move towards creating a sustainable long-term growth in your market.
That could be to leverage the existing community and protocol infrastructure to think more long-term.
You don't build an anti-fragile market without thinking more long-term.
Okay, that is nice. But how does that look like IRL?
We partnered with @VesperFi to look at their long-term growth strategy.
At its core, Ocean empowers and works to give data publishers the power to take control of their data, share data the way they want to, and monetise it.
The main problem that Ocean tries to solve is that we do not feel comfortable sharing our data and also do not really know the true value of our data or how to accurately price it.
If data could be traded openly then the barriers or costs of sharing data could plummet and if we could do that, we could unlock a brand new data economy breaking down the silos that these organisations have created and opening up access to quality data.
Example: If a house costs $100,000 but the user only wants to buy $50,000 worth. Then, it can be purchased by splitting 100,000 tokens, each worth $1. The user only purchases 50,000 tokens.
To generate $mAssets, users must collateralise assets worth > 150% (if using stablecoin) or > 200% (if using $mAsset). For example: If you want to mint $100 worth of $mXAU, you must collateralise 150 $USDT or $mBTC worth $200.
Most projects offer two products at the same time to take full advantage of blockchain and as a mechanism to transfer risk between two groups of people:
Gyroscope is an all-weather stablecoin that is decentralized, scalable, and highly liquid based on revolutionary new designs. It's not out yet, still in testnet phase. But we'd like to share how the protocol works.
1. All-Weather Stablecoin 2. Dual AMM Mechanism 3. Still in development
Mechanisms:
1. Reserve Based: The reserve ratio, in the long run, is supposed to be 100% 2. Algorithmic: It has a dual AMM model which is basically an AMM in the primary market and an AMM in the secondary market.
2. Economic incentives to be used in the present (through game theory and mechanism design)
3. Desired system properties in the future (through token design)
Tokenomics (or token economics) is a subset of crypto economics. It is basically economics of the token; aka the crypto project. It does not include the crypto-system (aka blockchain technology like #ETH, #NEO, #NEM).
In #economics, we always talk about supply and demand. They are 2 lines. And usually when they intersect, that is what we call "market equilibrium". That point where the 2 lines meet is the market price and market quantity.
But what these lines share, is the relationship between both parties. When prices are low, buyers will demand more. When prices are high, buyers will demand less.
It is the opposite for sellers. When prices are high, sellers want to sell more. When prices are low, sellers want to sell less.