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
Nov 25, 2016 $8.25 $8.26 $8.00 $8.13 534 036
Nov 23, 2016 $8.11 $8.28 $8.08 $8.25 720 461
Nov 22, 2016 $8.19 $8.21 $8.05 $8.15 582 904
Nov 21, 2016 $7.97 $8.07 $7.95 $8.06 800 921
Nov 18, 2016 $7.89 $7.93 $7.86 $7.91 501 909
Nov 17, 2016 $7.90 $7.98 $7.80 $7.86 711 459
Nov 16, 2016 $7.75 $7.95 $7.73 $7.93 1 358 440
Nov 15, 2016 $7.74 $7.82 $7.70 $7.77 850 714
Nov 14, 2016 $7.84 $7.87 $7.67 $7.70 769 944
Nov 11, 2016 $8.10 $8.24 $7.88 $7.88 1 415 658
Nov 10, 2016 $8.50 $8.54 $8.15 $8.15 1 457 988
Nov 09, 2016 $8.59 $8.70 $8.50 $8.52 764 964
Nov 08, 2016 $8.72 $8.78 $8.70 $8.70 882 032
Nov 07, 2016 $8.69 $8.79 $8.56 $8.75 784 464
Nov 04, 2016 $8.66 $8.72 $8.57 $8.57 623 639
Nov 03, 2016 $8.71 $8.80 $8.64 $8.64 589 637
Nov 02, 2016 $8.47 $8.71 $8.38 $8.70 804 944
Nov 01, 2016 $8.67 $8.69 $8.46 $8.48 520 723
Oct 31, 2016 $8.57 $8.70 $8.56 $8.67 546 774
Oct 28, 2016 $8.65 $8.72 $8.55 $8.57 836 401
Oct 27, 2016 $8.65 $8.74 $8.63 $8.68 595 611
Oct 26, 2016 $8.77 $8.83 $8.66 $8.68 796 840
Oct 25, 2016 $8.78 $8.92 $8.77 $8.83 406 636
Oct 24, 2016 $8.74 $8.80 $8.72 $8.77 565 004
Oct 21, 2016 $8.77 $8.80 $8.71 $8.73 1 270 492

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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