Member-only story

Weekly Investor Log - 2024 May Week 4

DigNo Ape
3 min readMay 26, 2024

--

2024 May Week1/ Week 2/ Week3

2024 Apr Week1 / Week 2/ Week 3/ Week 4

Earning Reports

How to Use Sankey Chart to report business earnings via Python Plotly?
Part 1 / Part 2
Case Study: NVDA / Dell / TSMC / MSFT / TSLA/ AAPL

How to Use Waterfall Chart to Report Business Earnings via Python Plotly?

AAPL

ETF Forward PE (Updated on 5/26)

QQQ (Process): 23.85 (2025), 36.73 (Trailing), 7.41(PB)
XLK (
Process): 25.17 (2025), 36.34 (Trailing), 9.78 (PB)
QCLN (
Process): 70.45 (2025), -24.07 (Trailing), 1.33 (PB)
00878.TW (
Process): 14.74 (2025), 18.06(Trailing), 1.85(PB)
006208.TW (
Process): 16.37 (2025), 21.94 (Trailing), 3.12 (PB)

Moving Average (Updated on 5/26)

Understand the level of cost — We looked into 20 ETFs’ (VT, VTI, XLP, 0050.TW, etc) moving average ranged from 250 days to 2500 days,

  • Tickers with price lower than 250&500-Days MA
  • Tickers with price lower than 750-Days MA
  • Tickers with price lower than 1250&2500-Days MA

How to Create X-days Moving Average Chart in stock market via Python (Plotly & Pandas) Part1 / Part 2 /…

--

--

DigNo Ape
DigNo Ape

Written by DigNo Ape

我們秉持著從原人進化的精神,不斷追求智慧的累積和工具的運用來提升生產力。我們相信,每一個成員都擁有無限的潛力,透過學習和實踐,不斷成長和進步。

No responses yet