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