ASX:VEU
Delisted

VWORLDXUS/ ETF Price (Quote)

$77.75
+0 (+0%)
At Close: Apr 21, 2023

Range Low Price High Price Comment
30 days $77.75 $77.75 Friday, 21st Apr 2023 VEU.AX stock ended at $77.75. During the day the stock fluctuated 0% from a day low at $77.75 to a day high of $77.75.
90 days $77.62 $78.00
52 weeks $68.33 $78.11

Historical VWORLDXUS/ETF prices

Date Open High Low Close Volume
Aug 20, 2019 $71.31 $71.62 $71.31 $71.61 28 457
Aug 19, 2019 $71.13 $71.35 $70.97 $71.35 25 503
Aug 16, 2019 $70.34 $70.70 $70.20 $70.63 21 676
Aug 15, 2019 $70.34 $70.53 $70.10 $70.41 55 477
Aug 14, 2019 $71.54 $71.90 $71.50 $71.68 36 814
Aug 13, 2019 $71.56 $71.73 $71.38 $71.53 24 255
Aug 12, 2019 $71.84 $71.95 $71.64 $71.88 11 469
Aug 09, 2019 $71.81 $72.05 $71.69 $71.80 39 060
Aug 08, 2019 $71.73 $71.87 $71.43 $71.85 28 900
Aug 07, 2019 $71.31 $71.99 $71.01 $71.76 21 521
Aug 06, 2019 $70.19 $71.35 $70.00 $71.07 34 630
Aug 05, 2019 $72.53 $72.58 $72.00 $72.02 22 891
Aug 02, 2019 $72.89 $73.06 $72.66 $72.70 17 136
Aug 01, 2019 $73.27 $73.36 $72.88 $73.14 14 577
Jul 31, 2019 $73.74 $73.79 $73.18 $73.18 30 438
Jul 30, 2019 $73.79 $74.20 $73.79 $74.17 24 436
Jul 29, 2019 $73.79 $73.89 $73.46 $73.66 20 543
Jul 26, 2019 $73.34 $73.80 $73.20 $73.80 20 041
Jul 25, 2019 $73.46 $73.72 $73.45 $73.72 19 036
Jul 24, 2019 $73.20 $73.53 $73.17 $73.34 12 872
Jul 23, 2019 $72.52 $73.00 $72.52 $72.81 14 192

FAQ

What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.

Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.

How can I use VEU.AX stock historical prices to predict future price movements?
Trend Analysis: Examine the VEU.AX stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.

What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.

This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.

A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.

Why do the VEU.AX stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.

How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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