Range Low Price High Price Comment
30 days $4.81 $4.81 Thursday, 10th Nov 2022 ENIA stock ended at $4.81. During the day the stock fluctuated 0% from a day low at $4.81 to a day high of $4.81.
90 days $4.81 $4.81
52 weeks $3.58 $6.59

Historical ENIA prices

Date Open High Low Close Volume
Sep 15, 2016 $8.21 $8.30 $8.13 $8.20 357 301
Sep 14, 2016 $8.18 $8.24 $8.10 $8.18 469 364
Sep 13, 2016 $8.31 $8.34 $8.12 $8.15 383 019
Sep 12, 2016 $8.28 $8.41 $8.26 $8.38 355 809
Sep 09, 2016 $8.47 $8.47 $8.32 $8.33 732 894
Sep 08, 2016 $8.45 $8.56 $8.40 $8.55 829 142
Sep 07, 2016 $8.53 $8.53 $8.44 $8.44 479 709
Sep 06, 2016 $8.42 $8.55 $8.42 $8.50 400 456
Sep 02, 2016 $8.38 $8.54 $8.38 $8.54 501 250
Sep 01, 2016 $8.32 $8.43 $8.23 $8.32 403 681
Aug 31, 2016 $8.38 $8.39 $8.21 $8.33 805 893
Aug 30, 2016 $8.41 $8.47 $8.28 $8.36 584 269
Aug 29, 2016 $8.38 $8.40 $8.30 $8.39 349 158
Aug 26, 2016 $8.49 $8.57 $8.32 $8.35 647 320
Aug 25, 2016 $8.39 $8.53 $8.38 $8.50 384 126
Aug 24, 2016 $8.41 $8.44 $8.30 $8.40 495 983
Aug 23, 2016 $8.50 $8.59 $8.40 $8.40 534 039
Aug 22, 2016 $8.57 $8.63 $8.44 $8.46 372 045
Aug 19, 2016 $8.70 $8.70 $8.51 $8.55 415 167
Aug 18, 2016 $8.69 $8.82 $8.57 $8.73 487 891
Aug 17, 2016 $8.71 $8.72 $8.58 $8.67 516 667
Aug 16, 2016 $8.79 $8.90 $8.74 $8.74 522 546
Aug 15, 2016 $8.87 $8.94 $8.78 $8.79 259 596
Aug 12, 2016 $9.04 $9.08 $8.86 $8.86 524 930
Aug 11, 2016 $8.98 $9.07 $8.95 $9.05 684 633

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