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Range Low Price High Price Comment
30 days $2.60 $2.60 Wednesday, 20th Jul 2022 JMU stock ended at $2.60. During the day the stock fluctuated 0% from a day low at $2.60 to a day high of $2.60.
90 days $2.60 $2.60
52 weeks $2.11 $4.55

Historical Wowo Ltd prices

Date Open High Low Close Volume
Nov 05, 2021 $3.06 $3.10 $2.80 $2.94 114 138
Nov 04, 2021 $2.90 $3.20 $2.84 $3.02 367 652
Nov 03, 2021 $2.88 $3.00 $2.78 $2.89 126 317
Nov 02, 2021 $2.97 $3.02 $2.70 $2.91 80 488
Nov 01, 2021 $2.88 $3.10 $2.84 $2.97 73 449
Oct 29, 2021 $2.94 $3.09 $2.76 $2.84 236 501
Oct 28, 2021 $2.90 $2.99 $2.80 $2.95 167 147
Oct 27, 2021 $3.19 $3.19 $2.90 $2.90 154 157
Oct 26, 2021 $3.16 $3.28 $2.98 $3.18 188 674
Oct 25, 2021 $2.88 $3.10 $2.79 $3.06 91 360
Oct 22, 2021 $3.02 $3.10 $2.72 $2.88 170 207
Oct 21, 2021 $3.29 $3.50 $3.00 $3.00 332 727
Oct 20, 2021 $2.95 $3.60 $2.84 $3.35 902 559
Oct 19, 2021 $2.69 $3.14 $2.61 $3.06 801 438
Oct 18, 2021 $2.75 $2.85 $2.50 $2.73 303 264
Oct 15, 2021 $2.30 $2.98 $2.29 $2.73 1 163 156
Oct 14, 2021 $2.48 $2.50 $2.27 $2.34 191 018
Oct 13, 2021 $2.25 $2.60 $2.24 $2.49 547 851
Oct 12, 2021 $2.28 $2.35 $2.19 $2.20 216 528
Oct 11, 2021 $2.30 $2.50 $2.21 $2.32 448 743
Oct 08, 2021 $2.37 $2.44 $2.25 $2.30 91 742
Oct 07, 2021 $2.21 $2.50 $2.21 $2.40 456 016
Oct 06, 2021 $2.29 $2.39 $2.15 $2.19 181 955
Oct 05, 2021 $2.21 $2.44 $2.17 $2.17 85 943
Oct 04, 2021 $2.31 $2.33 $2.11 $2.17 104 328

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