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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
Oct 20, 2016 $8.90 $8.92 $8.80 $8.85 1 085 457
Oct 19, 2016 $8.54 $8.93 $8.50 $8.92 1 623 715
Oct 18, 2016 $8.51 $8.53 $8.38 $8.53 709 583
Oct 17, 2016 $8.34 $8.43 $8.32 $8.42 683 933
Oct 14, 2016 $8.38 $8.42 $8.32 $8.39 843 065
Oct 13, 2016 $8.36 $8.39 $8.23 $8.34 555 175
Oct 12, 2016 $8.32 $8.45 $8.31 $8.42 549 199
Oct 11, 2016 $8.21 $8.38 $8.21 $8.34 544 492
Oct 10, 2016 $8.28 $8.33 $8.24 $8.25 396 711
Oct 07, 2016 $8.36 $8.36 $8.25 $8.30 624 994
Oct 06, 2016 $8.33 $8.37 $8.30 $8.33 260 350
Oct 05, 2016 $8.36 $8.39 $8.27 $8.37 937 655
Oct 04, 2016 $8.30 $8.35 $8.24 $8.33 672 936
Oct 03, 2016 $8.16 $8.31 $8.06 $8.31 920 827
Sep 30, 2016 $8.28 $8.30 $8.16 $8.19 474 224
Sep 29, 2016 $8.38 $8.52 $8.24 $8.25 429 480
Sep 28, 2016 $8.42 $8.44 $8.36 $8.42 423 928
Sep 27, 2016 $8.42 $8.46 $8.37 $8.39 258 399
Sep 26, 2016 $8.52 $8.55 $8.40 $8.42 370 254
Sep 23, 2016 $8.58 $8.58 $8.52 $8.54 274 464
Sep 22, 2016 $8.61 $8.64 $8.56 $8.62 390 949
Sep 21, 2016 $8.35 $8.58 $8.34 $8.56 329 730
Sep 20, 2016 $8.25 $8.34 $8.24 $8.31 339 891
Sep 19, 2016 $8.25 $8.33 $8.21 $8.22 477 459
Sep 16, 2016 $8.13 $8.29 $8.08 $8.21 486 804

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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