Recently, the decentralized storage track has become exceptionally hot due to the emergence of @walrusprotocol. As a cornerstone of storage in the Sui ecosystem, $WAL , with its unique data distribution and encoding scheme, has attracted significant attention from both institutions and retail investors. However, storage tokens often experience violent fluctuations and frequent 'spikes' in the secondary market, which is extremely unfriendly for traders who manually monitor the market. To more scientifically capture this volatile profit, I utilized an idle overseas cloud server and mounted the Clawdbot automated trading tool, conducting a 5-day practical arbitrage test on $WAL .
【Causes and Environmental Preparation】
Noticing the recent repeated grinding between 0.58 U and 0.75 U, with a very high turnover rate, this is the best breeding ground for quantitative grid strategies. Compared to the lag of manual operations, I chose Clawdbot mainly for its optimization capabilities for the Sui chain RPC interface, which can achieve millisecond-level order response.
【Core Operation Review】
1. Strategy Model: I configured Clawdbot's built-in 'Intelligent Volatility Enhanced Grid'. The lower limit of the grid is set at 0.55 U, the upper limit at 0.78 U, and the arithmetic spacing is set at 1.15%.
2. Intelligent Deployment: For high-frequency interaction projects like @walrusprotocol, I enabled Clawdbot's 'Anti-Squeeze Protection' and 'Dynamic Slippage Compensation'. This means that during severe fluctuations leading to network congestion, Clawdbot can automatically adjust Gas fee priorities to ensure that my buy and sell orders are always executed first.
3. Hardware Support: I used an entry-level cloud server with 2 cores and 4G. Clawdbot's lightweight architecture maintains a CPU usage rate below 15% even when handling a large number of grid orders, ensuring stability.
【Practical Profit Results】
After 120 hours of uninterrupted operation, the initial investment of 2000 U account completed 156 automatic trading cycles. After deducting the extremely low Gas costs of the Sui chain, the pure profit reached 385 U, with a weekly return rate close to 19.2%. What surprised me most was that during a deep wash at 3 a.m., Clawdbot accurately executed a three-layer 'replenishment and quick profit-taking' operation. If it were manual operation, it might have stopped loss and exited at that position long ago.
In #Walrus such hardcore infrastructure projects, aside from having a long-term optimistic view on fundamentals, effectively using Clawdbot as an automated tool to capture the intermediate volatility dividends is the core logic for maximizing profits.