Range Low Price High Price Comment
30 days $8.36 $10.00 Wednesday, 3rd Jun 2026 AONNY stock ended at $8.37. This is 0.476% less than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 0.718% from a day low at $8.36 to a day high of $8.42.
90 days $8.36 $13.12
52 weeks $8.36 $40.25

Historical Aeon Co. Ltd. prices

Date Open High Low Close Volume
Jun 03, 2026 $8.42 $8.42 $8.36 $8.37 2 743
Jun 02, 2026 $8.43 $8.43 $8.39 $8.41 20 542
Jun 01, 2026 $8.45 $8.45 $8.39 $8.39 607
May 29, 2026 $8.69 $8.74 $8.64 $8.64 7 692
May 28, 2026 $8.78 $8.81 $8.76 $8.80 14 901
May 27, 2026 $8.89 $8.89 $8.80 $8.84 16 186
May 26, 2026 $8.93 $8.95 $8.91 $8.93 555
May 22, 2026 $9.52 $9.52 $9.25 $9.38 2 872
May 21, 2026 $9.34 $9.43 $9.30 $9.43 11 088
May 20, 2026 $9.52 $9.58 $9.48 $9.57 3 500
May 19, 2026 $9.40 $9.43 $9.36 $9.36 122 580
May 18, 2026 $8.87 $9.29 $8.47 $9.09 417
May 15, 2026 $9.42 $9.42 $8.95 $9.36 4 153
May 14, 2026 $9.20 $9.36 $8.97 $9.29 2 494
May 13, 2026 $9.44 $9.61 $9.27 $9.61 1 423
May 12, 2026 $9.48 $9.50 $9.45 $9.46 3 387
May 11, 2026 $9.69 $9.74 $9.67 $9.67 8 583
May 08, 2026 $9.77 $9.77 $9.71 $9.75 300
May 07, 2026 $9.80 $9.86 $9.75 $9.79 9 290
May 06, 2026 $9.98 $10.00 $9.96 $9.98 608
May 05, 2026 $9.80 $9.84 $9.77 $9.80 2 069
May 04, 2026 $9.88 $9.88 $9.76 $9.82 5 193
May 01, 2026 $9.88 $9.90 $9.82 $9.86 5 100
Apr 30, 2026 $9.39 $9.72 $9.12 $9.70 16 847
Apr 29, 2026 $9.40 $9.74 $9.40 $9.63 5 900

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 AONNY stock historical prices to predict future price movements?
Trend Analysis: Examine the AONNY 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 AONNY 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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