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The Little Yellow People are not discussing Zhang Xuefeng, but rather every time the "卷王" (intense competition champion) concludes, the collective subconscious of internal exhaustion/involution triggers a sense of crisis, evoking collective deep-seated fear.
They are not just Zhang Xuefeng, but countless Little Yellow People who died suddenly—test-takers, programmers, laborers across all industries.
As long as one does not break free from this set of game rules, this underlying code will never be rewritten, but will continuously be activated instead. This is destiny.

Trading Review
#BTC The day before the 3.17 high, how did Polymarket's price estimator price it?
#3.16 At noon, data estimates showed a 73% probability of touching 75000, which subsequently broke through
From the estimates at that time, the probability of 75000 sustaining at close was only 40%, so it was insufficient to support market continuation, thus the high point was evident.
Scientific methods enable scientific judgments,
Subjective guesses, gambling determinations, result in gambling outcomes.

AI時代的交易，不再是拼紀律、拼個人實力
而是拼：誰能系統化優化
勝率 × 頻率 × 盈虧比 − 結構磨損
AI時代的不懂交易，也不再是“不会技術分析”
而是用極其昂貴的試錯成本，吞噬本該屬於你的利潤
每錯一筆訂單，都不是小虧損，
而是在錯誤的定價邏輯上下注
就像是
長期磨損，即將斷裂的纜線

回顧25年的三次 #BTC 逃頂機會
絕大多數人栽在“這次不一樣”

高認知交易員都在優化什麼？
低認知：
天天研究K線形態、量價密碼、鏈上信號、KOL吹逼、
優化的是“噪音共振”，屎雕花。
高認知：
天天優化
正期望值 × 交易頻率 × 複利效率 - 過度擬合懲罰 - 滑點/手續費漏斗
前者是爽文幻想，滿足“錢壓抑”，
後者是工程學，一步一腳印。

從老高的謠言，可見這群海外中推人群智商有多低？
首先如何判斷一眼假？
- 除了公文的行文、金額等錯誤外，還可以用統計方法來推斷是否是謠言
- 其次，YOUTUBE博主是一個極小眾的群體，能賺錢更是少之又少
- 要安排大量人力去篩查芝麻米粒，在行政成本上是否划算？還不如多抓幾個陳志幣圈殘黨

自從去年10月份成功逃頂並長線空頭介入之後，
也開始對這類頂底模式的判斷有了遠超市場的認知；
很多人歸咎為“誰能想到跌這麼深”；
不是沒有人想到，而是這一極具價值的信息並無義務分享。且，如果公開告訴你是頂，大概率也不會逃，還會遭受辱罵。
這對於追求健康心理的交易員來說，分享就是負資產