BTC ETF saw a net outflow of $700 million this week. How should we navigate this 'weak-medium' market system? Let me show you yesterday's executions.
First, let’s look at the current macro readings.
BTC spot ETF net outflow in the last 7 days: -705M USD
BTC 4-week volatility: 38.2%
Signal level: weak-medium
This 'weak-medium' reading really tests the execution system — there’s no strong bias in direction, liquidity is lukewarm, and sentiment hasn’t collapsed. In this kind of market, traders usually make two mistakes: either they’re too scared to open positions, or they treat every rebound as a major uptrend.
Yesterday, the AI executed 17 trades, winning 11 and losing 6, with no open or concentrated positions within 24 hours. I’d like to break down three execution details for everyone:
1. Don’t predict, just react. The SNDK trade was in and out in 0.9 hours; the system didn’t ask whether it would break the previous high, it just confirmed whether the momentum signal was valid and whether it was fading. Right side in, right side out — this is the most stable profit model for this system in a weak-medium market.
2. Stop-loss closure takes precedence over stop-loss cost. KAS held for 66 hours before hitting the stop-loss, and I didn’t intervene, letting the closure run its course — in a weak-medium market, the exit discipline for long-held losing positions is much more important than the single loss amount. The sample value of this trade exceeds its cost.
3. Macro noise doesn’t enter the decision layer. ETF outflows and funding approaching zero, these readings are not 'felt' by the AI. The trigger conditions for the BIO trade’s profit were completely unrelated to macro conditions, only derived from the local structural signals of that asset.
My judgment: In the current weak-medium structure, subjective traders are most likely to underperform because emotions lack anchors and news shifts daily. The value of systematic execution is amplified here. This is also what I hope to validate with this live trading diary — it’s not about proving AI can make more money, but about validating the stability of mechanized execution in a low-anchor market.
Tomorrow at 9:30, I’ll be live-streaming a breakdown of the ledger, publicly sharing daily results, acknowledging both profits and losses.
#AI交易 #实盘日记
First, let’s look at the current macro readings.
BTC spot ETF net outflow in the last 7 days: -705M USD
BTC 4-week volatility: 38.2%
Signal level: weak-medium
This 'weak-medium' reading really tests the execution system — there’s no strong bias in direction, liquidity is lukewarm, and sentiment hasn’t collapsed. In this kind of market, traders usually make two mistakes: either they’re too scared to open positions, or they treat every rebound as a major uptrend.
Yesterday, the AI executed 17 trades, winning 11 and losing 6, with no open or concentrated positions within 24 hours. I’d like to break down three execution details for everyone:
1. Don’t predict, just react. The SNDK trade was in and out in 0.9 hours; the system didn’t ask whether it would break the previous high, it just confirmed whether the momentum signal was valid and whether it was fading. Right side in, right side out — this is the most stable profit model for this system in a weak-medium market.
2. Stop-loss closure takes precedence over stop-loss cost. KAS held for 66 hours before hitting the stop-loss, and I didn’t intervene, letting the closure run its course — in a weak-medium market, the exit discipline for long-held losing positions is much more important than the single loss amount. The sample value of this trade exceeds its cost.
3. Macro noise doesn’t enter the decision layer. ETF outflows and funding approaching zero, these readings are not 'felt' by the AI. The trigger conditions for the BIO trade’s profit were completely unrelated to macro conditions, only derived from the local structural signals of that asset.
My judgment: In the current weak-medium structure, subjective traders are most likely to underperform because emotions lack anchors and news shifts daily. The value of systematic execution is amplified here. This is also what I hope to validate with this live trading diary — it’s not about proving AI can make more money, but about validating the stability of mechanized execution in a low-anchor market.
Tomorrow at 9:30, I’ll be live-streaming a breakdown of the ledger, publicly sharing daily results, acknowledging both profits and losses.
#AI交易 #实盘日记