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Feb 10 12 tweets 7 min read
1/12 The weekly volume on all NFT trading platforms was $120M last week. This includes BAYC, CryptoPunks, LOOT, Azuki, etc.

But...

$23 billion (yes, with a B) of value was traded on Uni V3 as financial NFTs 📈

Here's 8 reasons why @Panoptic_xyz is bullish on financial NFTs🧵
2/12 First of all: why is Uni V3 a financial NFT platform?

Liquidity in Uni V3 is deployed under a price range, which means LP positions are non-fungible and can't be tracked using ERC20s

Instead, Uniswap issues an ERC721 to track the funds controlled by each LP position
3/12 Reason 1: Most derivatives in TradFi *are* NFTs


Futures contracts expire at a set date, and each underlying has multiple tickers:
The Canadian dollar futures \6CH3 (exp. MAR-23) is different than the \6CM3 (JUN-23).

Options follow the OSI standard for exp, strikes, etc.
4/12 Reason 2: Tracking value using NFTs rather than ERC20 tokens does not require deploying new contracts


Each ERC20 is its own smart contract. So an application that requires the tracking of multiple expiries/strikes/sizes will need to deploy many new contracts⛽️
5/12 Reason 3: the ERC1155 standard extends the capabilities of NFTs to enable "semi-fungibility"


The balance of any ERC1155 token can be anything from 0 to 2^256 (compared to 1 for ERC721). Each NFT is unique but can have a balance that tracks size or liquidity, for instance.
6/12 Reason 4: The token ID of an ERC1155 is a uint256 that can encode information


In @Panoptic_xyz, we encode info about the options positions inside its token ID: each token encodes up to 4 legs which facilitates collateral computation for defined/undefined risk positions
7/12 Reason 5: Non-fungible positions give more freedom to users


Would everyone only want to trade the same 10∆ puts? Of course not!

Options traders trade at a strike + expiry that match their risk tolerance. User-defined ERC1155s don't lock anyone into a specific strategy
8/12 Reason 6: Financial NFTs can be traded on platforms like @opensea


Just like any NFT, Uni V3 LP positions can be traded between users — often at a large loss! 👇
9/12 Reason 7: URI metadata can be used to add context to a transaction


While the URI metadata of a PFP NFT will point to a specific JPEG, financial NFTs can use that slot to store information about the transaction itself — PnL graph, entry/exit prices, pool liquidity, etc.
10/12 Reason 8: Options protocols like @Panoptic_xyz have to use financial NFTs


Uni V3 was a true pioneer in the world of financial NFTs. >$1T in total volume to date!

Panoptic will follow suit by making trading and minting of LP positions easier using the ERC1155 standard.
11/12 Panoptic is a protocol that enables anyone to buy and sell options on any asset tradable on Uniswap

Panoptic will unleash the true potential of Uniswap V3 as an options protocol

You can learn more about Panoptic by reading our docs (docs.panoptic.xyz) and whitepaper
12/12 Comment below with questions.

Follow @Panoptic_xyz and @guil_lambert for more #ResearchBites and other key updates!

Check out our blog 👉 panoptic.xyz/blog
Star & follow our GitHub repo 👉 github.com/panoptic-labs/…

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More from @Panoptic_xyz

Feb 8
1/11 We simulated LP performance for 21 popular Uni V3 pools (high TVL & volume)

Results were surprising:
📢 LPs can be profitable!

💰 Which pools made the most?
📏 Are narrow or wide ranges better?

Find out 🧵
2/11 Previously, we explored the ETH-USDC 30bps pool.

For this study:
🗓️ Jun 2021 - Jan 2023 (20 months) for most pools
⚖️ Daily rebalancing
📏 Narrow (r = 1.05) & wide (r = 1.75) ranges

Here's how other ETH-stablecoin pools compare👇
3/11 Bad pools 😔 (but can you spot the good pool 🐶?)

• ETH-USDC (5bps): -18%
• ETH-DAI (30bps): -14%
• ETH-USDC (30bps): -12%
• ETH-USDT (30bps): -11%
• ETH-USDC (100bps): -9%
• ETH-USDC (1bp): -6%
• ETH-USDT (5bps): -3%
• ETH-DAI (5bps): +7%

(Returns in stablecoin) Image
Read 11 tweets
Feb 7
1/13 How do you know if one LP position or portfolio is riskier than another?

Is LPing riskier than HODLing?

This is the first of a series of threads where we discuss different types of risk, how to interpret them, and how to hedge them.

Let's dive in!
2/13 Risk measures (RMs) are crucial in assessing the stability and performance of a portfolio, and they can be used to guide investment decisions.

When providing liquidity on Uni V3, there are several key risks to consider such as volatility, market risk, etc.
3/13 Some commonly used risk measures are:

- Beta (β)
- Value-at-Risk (VaR)
- Conditional Value-at-Risk (CVaR)

All of these measures are related to the volatility of the portfolio. In particular, high volatility typically implies high risk.

Let's discuss them in more detail 👇
Read 13 tweets
Feb 2
1/12 We analyzed simulated LP performance on ETH-USDC 0.3% pool.

Results were surprising:
📢 The optimal width was wider than expected.

• What's the optimal width for max returns?
• How does that change for 🐂 vs 🐻 markets?

Find out 👇
2/12 The strategy is simple:

💦 LP around the current ETH price with ±X% width
⚖️ Rebalance your LP position after a day, week, or month (you pick)
💵 Collect & compound your fees!
3/12 Our analysis includes >1.5 years of data (Jun 2021 - Jan 2023)

On 5 different range factors:
• ±5% (r = 1.05)
• ±20% (r = 1.2)
• ±50% (r = 1.5)
• ±75% (r = 1.75)
• ∞ (UniV2 full-range, r = 1000)

Which one did best?🤔
Read 12 tweets
Feb 1
1/12 In this series, we will look at different (financial) Greeks.

Most know about alpha, but what about beta? How can we compute it? How can we use it to hedge our investments?

Let's discuss! 🧵👇
2/12 First things first:

Beta (β) measures the risk of an asset or portfolio, S, against the risk of a reference market index, M.

See the mathematical definition below👇🤓

β(S; M)= correlation(S; M) x volatility(S) / volatility(M) Image
3/12 Beta increases w/correlation & relative risk (ratio of volatilities).

How can we interpret this? If:

- β = 1.5 ⇒ The asset S incr. 1.5% for each 1% incr. in the index M

- β = 0.5 ⇒ S incr. 0.5% for each 1% incr. in M

- β = -1.5 ⇒S decr. 1.5% for each 1% incr. in M
Read 12 tweets

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