Wang Xiaolou’s Trading Journal #4 One-liner: All 5 trades closed—3 wins, 2 losses. Took profit on short XPL and long ZEC. Stopped out on long MU (US stock) and long ETH. Slight loss this period. 📅 Trading Period: 11/02 10:00 → 11/03 10:00 (UTC+8) 💰 Net Value: 790.35U (Initial Capital: 804U),本期 -1.79U (-0.23%) Realized PnL: +2.92U | Fees: -0.41U | Funding Fee: -0.04U Peak: 804.07U | Drawdown: 1.71% (13.72U) Trade-by-trade: Long NEAR 4.277 → 4.302 (3x), +1.07U Long ZEC 1230.4 → 1263.5 (3x), +4.82U — Take Profit Short XPL 0.070461 → 0.068025 (3x), +5.06U — Take Profit Long ETH 2293.5 → 2268.4 (3x), -3.07U — Stop Loss Long MU (US Stock) 911.01 → 891.21 (3x), -3.45U — Stop Loss AI’s Strategy Yesterday: For winning trades, reduce one-third position at 1R and move stop to breakeven; let the remaining position run to take profit—both ZEC and XPL were held to full target. Added US stock perpetuals for the first time, going long MU to diversify risk with an asset class less correlated to crypto. Unfortunately, the position was stopped out due to a drop in US night trading. Adjusted stop placement to outside the 4H structure level—better to hold smaller position size than get shaken out by wicks. Daily progress, no effort wasted.
72. How can you record each entry and exit to prove you’re not just guessing? Record: time, chain, pool and fee, range, principal, token amount, gas, fee, amount withdrawn and its market value, relative hold performance, and reason for exit. Only with a detailed ledger can you review your trades accurately—don’t rely on memory to embellish the facts.
Wang Xiaolou’s Trading Journal #3 One-liner: 6 closed trades, 2 wins, 4 losses—stop losses were triggered repeatedly, but profits from the kPEPE and BTC positions held the line; net value nearly flat this period. 📅 Trading Period: 11/01 10:00 → 11/02 10:00 (UTC+8) 💰 Net Value: 791.18U (Initial Capital: 804U),本期 -0.18U (-0.02%) Realized: -2.19U | Unrealized: +2.68U | Fees: -1.41U | Funding Fee: -0.19U Trade-by-trade: Long BTC 77501.0 → 78062.5 (3x), +2.12U Short kPEPE 0.004978 → 0.004838 (3x), +4.13U Long XMR 606.68 → 597.90 (3x), -3.30U (stopped out) Long ETH 2273.6 → 2260.4 (3x), -2.89U (stopped out) Short SOL 94.49 → 95.26 (3x), -2.94U (stopped out) Short SOL 93.93 → 94.78 (3x), -2.93U (stopped out) Long NEAR 4.277 → 4.307 (3x), +1.02U—reduced position by 1/3, moved stop-loss to breakeven, holding Long ZEC 1230.4 → 1253.8 (3x), +2.57U—reduced position by 1/3, moved stop-loss to breakeven, holding Short XPL 0.070461 → 0.070888 (3x), -0.91U, holding AI’s Strategy Yesterday: Two consecutive short attempts on SOL were stopped out beyond the stop level, indicating insufficient short-term bearish momentum. Shifted focus in the morning to long positions on ZEC aligned with 1h+4h trends and NEAR at the lower end of its range. Once both positions reached ~1R profit, reduced each by 1/3 and moved stop-loss to breakeven; plan to trail stop to 1.8R. Once three positions are fully allocated, no new trades are opened. Daily progress, no effort wasted.
71. Spreading LP across multiple chains—won’t the management costs exceed the returns? Often yes. Multiple chains mean multiple gas fees, multiple approval cleanups, and increased risks from bridges and fake sites. Diversification has value, but when account management can’t keep up, friction and error costs can outweigh the modest fees.
Here’s a bold take: These days, big tech earnings aren’t about how much they made—they’re about how much they’re still going to spend. Google’s revenue rose 25%, yet its stock still dropped after hours. On the same day, Microsoft said demand exceeds supply—and its stock barely blinked. In the AI business, spending money isn’t hard—it’s getting people to believe it’ll be recovered that’s the challenge.
68. The V4 Hooks pool advertises higher yields—how can beginners verify if it’s legitimate? Hooks (pool plugins that allow custom logic) can do many things—and hide complex risks. Beginners should: confirm the official deployment, check if the code has been verified, ensure there’s no excessive authorization, and evaluate whether the yields are reasonable. If you don’t understand the mechanism, treat it as high-risk—use only a minimal amount or skip it entirely.
67. What is the cost of using a custodial vault for automated market making? The cost includes: additional smart contract risk, management fees, lack of strategy transparency, and the potential for automated rebalancing to buy high and sell low during trends. “Advanced/High-Risk”: Convenience does not equal greater safety—review audits, permissions, and historical net asset values.
66. Stick to blue-chip pairs, avoid meme coin pools—what’s the upside? The upside is typically “steady fees + limited subsidies,” making it unlikely to see the exaggerated short-term APRs of meme coin pools. In exchange, you gain a lower risk of total loss and pool抽池. Beginners should trade the ceiling for peace of mind, not envy the ceiling.
DeFi lending requires over-collateralization, and many assume this is due to conservative risk management. I think it’s simply a lack of data. Smart contracts see your wallet and see the wallet next door—they look exactly the same. They don’t know how long this account has been active, whether it has a stable transaction history, or what the balance level is—because all that data resides on exchanges and isn’t accessible on-chain. Earlier this year in March, @primus_labs and @brevis_zk, in collaboration with BNB Chain, launched ZKredit to address exactly this gap. zkTLS proves that “this data truly comes from the source it claims to be from,” while Brevis’s zkVM performs computations on encrypted data, ultimately returning just one conclusion to the protocol: this user’s account has been active for three years, with stable activity and a balance above threshold. No specific numbers are revealed. Thus, its ultimate goal isn’t a better risk model—it’s enabling collateral ratios to be tied to creditworthiness for the first time. Previously, credit could only be self-attested—and self-attestation is equivalent to having no credit at all.
