SuperHigh-Frequency

- For people without relevant expertise or programming skills, quantitative strategies are like a "black box," unable to understand their trading logic, which leads to doubts about profitability and failure risks, swinging between suspicion and fear.
- Trust requires cognitive support; if the underlying logic of the strategy (such as trend following, mean reversion, etc.) is not understood, continuous losses in quantitative trading can cause fear and doubt, making it hard to persist.
2. Human Challenges
- The core advantage of quant trading is emotionless, strict execution, but as a strategy m

【U.S. April University of Michigan Consumer Sentiment Index Final Value】
Previous: 47.6 Forecast: 48 Actual: Not announced
Jin10 Data Importance Rating: ★★★★☆
Data Release Time: April 24, 2026, 22:00$ETH ‌#加密市场行情震荡

First day of clock-in and trading signals, my previous data didn't look good, that was when I was manual before. Now that I’ve started quantifying, the data will improve steadily. $ETH