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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
Jul 26, 2019 10.20€ 10.25€ 9.96€ 9.96€ 4 797
Jul 25, 2019 10.30€ 10.30€ 9.94€ 9.96€ 5 276
Jul 24, 2019 9.96€ 10.30€ 9.96€ 10.20€ 13 542
Jul 23, 2019 9.88€ 9.96€ 9.86€ 9.94€ 3 378
Jul 22, 2019 10.00€ 10.00€ 9.82€ 9.88€ 5 417
Jul 19, 2019 9.88€ 10.00€ 9.86€ 9.94€ 5 050
Jul 18, 2019 9.90€ 9.92€ 9.88€ 9.90€ 5 345
Jul 17, 2019 9.90€ 9.94€ 9.88€ 9.88€ 7 827
Jul 16, 2019 9.90€ 9.98€ 9.78€ 9.88€ 9 205
Jul 15, 2019 9.90€ 9.92€ 9.80€ 9.90€ 8 314
Jul 12, 2019 9.88€ 9.92€ 9.78€ 9.90€ 11 226
Jul 11, 2019 9.62€ 9.78€ 9.60€ 9.78€ 6 932
Jul 10, 2019 9.60€ 9.70€ 9.50€ 9.60€ 15 034
Jul 09, 2019 9.66€ 9.78€ 9.50€ 9.60€ 55 525
Jul 08, 2019 9.82€ 9.86€ 9.66€ 9.66€ 6 080
Jul 05, 2019 10.00€ 10.00€ 9.80€ 9.80€ 6 436
Jul 04, 2019 9.80€ 10.00€ 9.72€ 10.00€ 6 908
Jul 03, 2019 9.80€ 9.90€ 9.72€ 9.80€ 5 238
Jul 02, 2019 9.86€ 10.00€ 9.72€ 9.78€ 10 489
Jul 01, 2019 10.05€ 10.05€ 9.86€ 9.86€ 4 240
Jun 28, 2019 9.80€ 10.05€ 9.80€ 9.96€ 5 750
Jun 27, 2019 9.80€ 9.84€ 9.76€ 9.80€ 4 946
Jun 26, 2019 9.66€ 9.80€ 9.66€ 9.72€ 2 090
Jun 25, 2019 9.60€ 9.86€ 9.58€ 9.64€ 3 077
Jun 24, 2019 9.88€ 9.88€ 9.60€ 9.60€ 4 412

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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