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Range Low Price High Price Comment
30 days 15.80€ 15.80€ Monday, 7th Sep 2020 HOIVA.HE stock ended at 15.80€. During the day the stock fluctuated 0% from a day low at 15.80€ to a day high of 15.80€.
90 days 15.80€ 15.80€
52 weeks 10.80€ 16.25€

Historical Hoivatilat Oyj prices

Date Open High Low Close Volume
Dec 14, 2018 7.95€ 8.05€ 7.88€ 7.91€ 14 393
Dec 13, 2018 7.95€ 8.00€ 7.86€ 7.88€ 5 859
Dec 12, 2018 7.64€ 7.95€ 7.64€ 7.92€ 17 650
Dec 11, 2018 7.51€ 7.74€ 7.50€ 7.60€ 3 822 337
Dec 10, 2018 7.63€ 7.75€ 7.51€ 7.51€ 12 397
Dec 07, 2018 7.76€ 7.99€ 7.62€ 7.62€ 10 551
Dec 05, 2018 7.83€ 7.99€ 7.76€ 7.76€ 2 227
Dec 04, 2018 7.91€ 7.94€ 7.85€ 7.85€ 16 063
Dec 03, 2018 7.83€ 8.00€ 7.83€ 7.98€ 13 276
Nov 30, 2018 7.83€ 7.85€ 7.75€ 7.82€ 26 418
Nov 29, 2018 7.86€ 8.00€ 7.82€ 7.82€ 5 636
Nov 28, 2018 7.96€ 7.97€ 7.86€ 7.86€ 2 535
Nov 27, 2018 7.93€ 7.96€ 7.88€ 7.91€ 6 641
Nov 26, 2018 7.89€ 8.00€ 7.88€ 7.93€ 3 766
Nov 23, 2018 7.90€ 8.00€ 7.89€ 7.89€ 13 718
Nov 22, 2018 7.93€ 8.00€ 7.88€ 7.88€ 3 924
Nov 21, 2018 7.98€ 7.98€ 7.88€ 7.93€ 6 785
Nov 20, 2018 8.31€ 8.31€ 7.92€ 7.98€ 14 934
Nov 19, 2018 8.34€ 8.35€ 8.14€ 8.14€ 8 196
Nov 16, 2018 8.35€ 8.41€ 8.30€ 8.33€ 13 052
Nov 15, 2018 8.33€ 8.36€ 8.20€ 8.36€ 731 840
Nov 14, 2018 8.34€ 8.34€ 8.30€ 8.33€ 5 081
Nov 13, 2018 8.33€ 8.34€ 8.31€ 8.34€ 7 988
Nov 12, 2018 8.35€ 8.37€ 8.32€ 8.33€ 71 521
Nov 09, 2018 8.31€ 8.39€ 8.30€ 8.35€ 19 350

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 HOIVA.HE stock historical prices to predict future price movements?
Trend Analysis: Examine the HOIVA.HE 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 HOIVA.HE 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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