Sui Taipei Developer Event Wrap-Up 🙌 So many dev partners showed up, along with top-tier projects. We are all in this together for the water ecosystem effort 💪💪 #Cetus #Haedal #Walrus ✌️
In celebration of my birthday, little penguin's original plan was: Start 12 months of regular investment in 2023 and sell in 2025. The following results are indicated by average price.
$BTC 29,036 → Switch to public chain $ETH 1,830 → Switch to public chain
$SOL Heavy position 22 → 196 (8.9x) $BNB 237 → 1040 (4.3x) $DOGE 0.07 → 0.217 (3.1x) $SUI Pre-sale 0.1 Heavy position 1 → 2.07 (2.0x) $TON 3 → 3 (0x)
——
1. Core Concept: Cycle
2. Strategy: Binance hourly regular investment + wealth management, combined with various mining during the bull market: DeFi on Sui/Solana/Ton and BNB gold shovel. Sell based on daily RSI in the bull market.
3. Switching mainstream coins among other alts: ARB OP MATIC AAVE PYTH OKB BLUR ORDI. The reason for switching is to increase certainty and changes in narrative, etc.
4. Still have SUI SOL staked nodes and LST.
5. Thoughts: - Holding BTC has high stability and good multiples. - It's hard to judge whether mainstream will take off, consider diversifying investments. - Major narrative changes will always happen, always pay attention and maintain flexibility appropriately. - Follow the strategy, don't fall in love with coins, go fall in love with your girlfriend!
《Clarity Act》 Stuck—Is It a Negative Signal or Just Noise?
The U.S. has a crypto bill called the “Clarity Act” (CLARITY Act). Recently, prediction markets (platforms that let people put real money on whether something will happen) have cut the probability of it passing by year-end to just 37%, the lowest level this year. JPMorgan has therefore shifted to a near-term bearish stance.
First, why this bill matters
The U.S. has a longstanding problem with crypto regulation: nobody can say clearly who is in charge. Project teams often don’t know whether the tokens they issue count as securities or commodities, and if they get it wrong, the SEC (U.S. Securities and Exchange Commission) may come knocking.
The Clarity Act is designed to draw a clear line—and also allow new projects to raise up to $75 million per year without completing SEC registration.
With clearer boundaries, big brokerage firms, exchanges, market makers, and banks—those “have the money but fear compliance risk” institutions—will finally dare to enter. Only then will capital and liquidity have a chance to move from offshore markets back into compliant U.S. markets. That’s why people treat it as a catalyst.
But the bill is stuck.
Before the Senate’s summer recess, it prioritized other legislation. Add in disagreements between the two parties, and there’s also a controversial clause: DeFi (decentralized finance) protocols may not fall under the jurisdiction of U.S. regulatory bodies. They can do business similar to banks and broker-dealers, but without having to meet anti-money-laundering requirements at the same intensity. Traditional financial institutions, of course, don’t like that. It’s also one of the reasons the bill can’t move forward.
JPMorgan’s pessimism has two layers. The first: the catalyst is delayed, slowing the pace at which institutional capital steps in. The second is tougher: if legislation keeps getting dragged out, the business value of tokenization may be captured first by traditional exchanges and banks. Then even if the bill eventually passes, the money might not necessarily flow into crypto assets.
My own take isn’t as bleak
With more than half a year passing and no real progress, market sentiment is clearly affected. But Bitcoin has been consolidating for a long time around the $60,000 level. During that period, the market likely already priced in the uncertainty of the legislation.
The bill is still on the table, and the debate is really about how to split interests between crypto institutions and traditional institutions. That balance will be discussed eventually. For long-term investors, what’s missing right now is only patience.
As for how long that patience will have to last—I can’t say for sure 🤔
Sui generates revenue through Gas transaction fees and income from stablecoin assets, and uses the stablecoin earnings to buy back SUI daily in the public market. After the buyback, the SUI is not burned; instead, it is allocated to DeFi, validators, and other ecosystem partners to support network growth and further expand the stablecoin circulation scale.
As of 2026 to date, Sui has repurchased approximately 282,600 SUI, with total accumulated revenue of about $2.1 million. The total stablecoin circulation is approximately $443 million, and the number of addresses holding stablecoins is about 3.6 million. Taking July 29 as an example, stablecoin revenue on that day was $7,300, and Gas transaction fees were $2,400, for total revenue of $9,700. It then used about $6,000 to repurchase 8,700 SUI.
The Little Penguin believes the buyback mechanism itself has little impact; it’s more like a pledge—an expression of support for its own chain.
Who actually issues the rewards that staked SUI earns?
Staking rewards are not an interest payment issued out of thin air by a liquid staking protocol. Taking the liquid staking protocol Haedal as an example, it delegates the SUI in its pool to a validator; haSUI then represents the user’s share in this staking pool and the accumulated rewards. In the early stages of the Sui network, the sources of staking rewards include staking subsidies and gas fees; the official design is that, in the long term, gas fees will become the primary source. These resources first enter the network’s reward distribution mechanism, and then are allocated to validators according to the rules. How much the validator receives mainly depends on its proportion of the total staked amount across the network. The Storage Fund and Tallying Rule scores also affect the distribution. The delegator, on the other hand, at the end of each epoch, after the validator collects the operating commission, accumulates its share in that staking pool.
Decoding DeFi Pools: Taking Cetus as an example, price impact is the difference between the current price and the execution price; slippage is the possible price movement that may occur while your order is waiting to be processed. Slippage tolerance sets a limit on the lowest you’ll receive or the highest you’ll pay—no single set of numbers fits every trade!
After your price goes out of the range, what happens to your LP position?
Cetus CLMM liquidity positions set a lower and upper bound. When the market price stays within this range, the position holds both types of tokens, the liquidity is in an active state, and it can also earn swap fees when used for trades. When the price moves, the ratio of the two tokens held in the position also changes. According to Cetus’ definition, when the price is below the position range, the position holds only token Y; when the price is above the range, it holds only token X. After completely leaving the range, the position becomes a single asset and turns inactive. At that point, transactions are no longer processed, and you will not continue to receive swap fees.
You can think of Sui’s epoch as Sui’s settlement shift
Within each period, the validator set and staking weights are fixed; only at the handover between periods are the delegation changes and rewards updated. The mainnet’s current epoch is about 24 hours, but that doesn’t mean all operations are completed at a fixed time.
What gates does a sustainable order go through behind the scenes?
A single Bluefin Pro order is first signed by the user on the client. The signed data is then sent to the TEE driven by Nautilus, where this trusted execution environment handles placing orders, canceling, and matching; this matching process is completed outside the Sui blockchain. Bluefin states that each brokerage operation generates a cryptographic proof. Relevant inputs, outputs, proofs, and periodic order-book checkpoints are published to Walrus. Bluefin also argues that third parties can use these public data and checkpoints to replay the TEE computations and verify them. This is Bluefin’s statement about architectural verifiability; it does not mean there are no trust assumptions at every layer, and it cannot be extended to “absolute security” or “cannot be tampered with.”
Seeing two prices for haSUI does not mean the data conflicts with each other. The first layer is the Haedal protocol redemption rate; the second layer is the external market’s actual traded price. They are derived in different ways. The redemption rate is calculated based on the staking pool’s net assets: take the staked SUI in the pool, add the validator rewards after subtracting commissions, then subtract the SUI that has been unstaked, and finally divide by the haSUI quantity used in the formula. The 6% commission stated in the document is deducted from the validator rewards, not from the staked principal. The redemption rate is recalculated after every Sui epoch based on the pool’s rewards.
On Cetus CLMM, each liquidity position is an independent NFT that records the pool, position ID, upper and lower price ticks, and the liquidity amount. It is a proof of ownership for claiming fees and participating in mining. It does not mean that positions are interchangeable like collectibles or without risk.
Delegate SUI storage—no need to set up your own servers or maintain verification software. Verifiers run the network, while coin holders provide staking weights. When using Haedal, underlying SUI is delegated, and the wallet receives haSUI credentials
How does Walrus manage to ruin a few nodes and still keep the data?
When Walrus stores a blob, it uses RedStuff to erase the encoding, splits the data into a primary and secondary sliver, and then distributes these encoded fragments across different shards. A complete file is not copied in full to every node as-is. After the overall encoding, the redundancy of the data is about 4.5 times the size of the original blob. This kind of splitting allows the data to be reassembled from a subset of shards.
During reads, the client does not need to fetch every piece of data. As long as it collects enough valid slivers, it can reconstruct the original blob. After reconstruction, it also verifies the content using authenticated metadata, and then returns the data to the user. This means that even if some nodes fail, there is still a chance the data can be restored from the remaining shards.
According to Walrus’s threat model, if more than two-thirds of the shards are operating honestly, the system can tolerate up to one-third of the shards being malicious or faulty within an epoch or during an epoch transition. This fault tolerance is based on specific assumptions; data may still be lost, and the service may still be interrupted. Understanding the path of “sharding, reconstruction, and verification” is closer to Walrus’s actual design than thinking of it as having a full backup on every machine.
An AMM doesn’t necessarily rely on just one fixed formula for pricing. Haedal places HMM and PropAMM in parallel positions: each handles its own market-making logic, and PropAMM is not a replacement “new version” of HMM. The core of HMM is to actively reference oracle prices to quote. PropAMM is Haedal’s proprietary AMM engine, controlled by quantitative market-making strategies that determine executable on-chain buy and sell quotes, and can adjust its prices, depth, inventory balance, and risk controls according to its own logic. This difference can be understood as follows: HMM’s pricing anchor leans toward external oracles, while PropAMM adds an extra layer of customizable strategic judgment. Therefore, both engines can coexist to handle different market-making conditions, rather than being limited to choosing only one.
Based on inferences from Sui object ownership rules, receiving an unknown NFT itself does not affect other assets; the risk lies in malicious transactions that involve signing agreements that incorporate those assets. It’s important to: review the transaction details and purpose addresses item by item before signing
When providing liquidity on Cetus, how exactly are the fees distributed?
In Cetus CLMM, the swap fee generated by a single exchange is first calculated in the tokens paid in by the trader. Only if the price is within the configured range—specifically for the positions that actually provide liquidity—will the fee be distributed proportionally. Once the price moves out of the range, the position becomes inactive and will also stop receiving swap fees. These fees will not automatically be added back to the original liquidity principal; instead, they accumulate separately. LPs can withdraw them independently without needing to withdraw the entire position first. This difference is quite practical: what you see on the screen as accumulated fees does not mean the principal has automatically compounded, and past fees cannot simply be projected forward to estimate future returns.
💡 The APY displayed on Haedal’s official interface converts the recent 48-hour haSUI/SUI exchange-rate changes into an annualized rate. It reflects estimated performance from the past, and future rewards are not guaranteed and may change with exchange-rate fluctuations
What Are Perpetual Contracts? An Example From a Project on Sui
Perpetual contracts (perps) are high-risk products. They have no expiration date; this only means the position won’t automatically end on a specific day. It doesn’t mean the risk is lower. The position remains in place until the trader actively closes it or it gets liquidated due to insufficient margin. Bluefin’s beginner materials explain leverage as “the ratio of position exposure to the margin you put up.” With leverage, the same amount of margin supports a larger price exposure, so both profits and losses are amplified. When the market moves in an unfavorable direction, the room your margin can withstand shrinks; the higher the leverage, the higher the liquidation risk.
The same Cetus DLMM can also output different shapes: Spot average distribution, denser in the center of the Curve, and denser at the Bid-Ask edges. The configuration changes the liquidity within the price range, and there are still risks of going out of range, impermanent loss, and slippage.