数分魔 🌍: DataAnalysisModel

波动率的「动量-反转」切换策略及A股应用

Published 1 Jul 2026 · 16 daily observations recorded · last updated 2026-09-29

Views
149
Avg views / hour
0.1
since publish (lifetime average)
Recent velocity
0.0
+0 views over 24h (2026-09-28 → 2026-09-29)
vs channel baseline
—
Channel median
—

Recent growth

Last 7 days
+3 views
measured 2026-09-22 → 2026-09-29 (168h)

Performance history

Every observation TubeSum recorded, plotted as measured.

Views over time — 16 observed points, 144 to 149 views 0 52 104 156 Sep 14, 2026 · 144 views Sep 15, 2026 · 144 views Sep 16, 2026 · 144 views Sep 17, 2026 · 144 views Sep 18, 2026 · 145 views Sep 19, 2026 · 145 views Sep 20, 2026 · 146 views Sep 21, 2026 · 146 views Sep 22, 2026 · 146 views Sep 23, 2026 · 147 views Sep 24, 2026 · 148 views Sep 25, 2026 · 148 views Sep 26, 2026 · 148 views Sep 27, 2026 · 148 views Sep 28, 2026 · 149 views Sep 29, 2026 · 149 views Sep 14 Sep 21 Sep 29

Based on 16 observations · last observed Sep 29, 2026 · straight lines connect consecutive observations — TubeSum does not measure the days between them.

All observations

The same points the chart plots, as exact numbers. Gaps mean no observation was taken that day.

Date Views Avg views / hour Channel median
2026-09-29 149 0.1 —
2026-09-28 149 0.1 —
2026-09-27 148 0.1 —
2026-09-26 148 0.1 —
2026-09-25 148 0.1 —
2026-09-24 148 0.1 —
2026-09-23 147 0.1 —
2026-09-22 146 0.1 —
2026-09-21 146 0.1 —
2026-09-20 146 0.1 —
2026-09-19 145 0.1 —
2026-09-18 145 0.1 —
2026-09-17 144 0.1 —
2026-09-16 144 0.1 —
2026-09-15 144 0.1 —
2026-09-14 144 0.1 —

Content analysis

Transcript, chapters and structure for this video live on its analysis page — performance and content are separate documents on TubeSum.

Read transcript & analysis →