30-Day Performance Case Study

Daily Performance Analysis: 2026-04-13

1. Performance Summary and Notable Patterns Today's performance yielded a modest $0.17 P&L from 30 trades, contributing to a cumulative $0.34. The bot achieved a 56.7% win rate, which is acceptable for a scalping strategy. However, the average P&L per trade at 0.2943% is low, indicating that winning trades are often small. A concerning pattern is the consistency of the "Recent Trend" data, which appears to be duplicated for Day 1 across five days, suggesting a data logging or reporting error that needs immediate investigation.

2. Pair Performance Breakdown ETH-USDT was the top performer, generating $0.07287556 P&L with an impressive 0.6066% average P&L per trade and 5 wins out of 6 trades. SOL-USDT also performed well, contributing $0.08746000 P&L with a 0.3375% average and 7 wins from 14 trades. BTC-USDT significantly underperformed, producing only $0.01006169 P&L with a very low 0.0463% average P&L per trade, despite a 50% win rate (5 wins from 10 trades). The low average P&L on BTC-USDT suggests either tighter spreads, higher competition, or less effective signal generation for this pair. The fact that only 5 trades exited via take_profit out of 30 implies that most profitable trades are not hitting their full profit targets or are being exited prematurely by the signal.

3. Risk Assessment The Max Drawdown of 19.41% is extremely high for a single day, especially given the low absolute P&L. This indicates significant capital at risk relative to the generated profit and suggests that stop-loss mechanisms might be too wide or are not being triggered effectively. The "Worst Trade" of $-0.01, while small in absolute terms, needs to be contextualized against the trade size. Further investigation into the drawdowns and the size of losing trades is critical. The high frequency of signal exits (25 out of 30) compared to take_profit (5) suggests the strategy might be too eager to exit positions, potentially leaving profit on the table or cutting losses based on dynamic signals rather than fixed stop-losses.

4. Outlook and Tomorrow's Watch Items The immediate priority is to investigate the high Max Drawdown and the actual trade sizes to understand the true risk exposure. We also need to verify the Recent Trend data accuracy. For tomorrow, focus on BTC-USDT performance; if its average P&L per trade remains low, consider reducing its allocation or reviewing its specific trading parameters. Monitor ETH-USDT to see if its strong average P&L per trade is sustainable.

5. Concerns and Opportunities Concerns: The 19.41% Max Drawdown is the primary concern, indicating a potentially high-risk strategy for minimal returns. The low average P&L per trade across the board, especially for BTC-USDT, and the high proportion of signal exits over take_profit exits, suggest the strategy might be too conservative on profit-taking or too aggressive on signal-based exits. The data duplication in the "Recent Trend" section is a critical data integrity issue. Opportunities: The strong average P&L per trade on ETH-USDT (0.6066%) presents an opportunity to potentially increase allocation to this pair if the performance is robust and scalable. Reviewing the signal exit logic for BTC-USDT and SOL-USDT could improve profit capture.