BIST:PARSN
Parsan Makina Parçalari Sanayii A.S. Stock Price (Quote)
TRY 120.30
-2.70 (-2.20%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 107.00 | TRY 140.00 | Tuesday, 21st May 2024 PARSN.IS stock ended at TRY 120.30. This is 2.20% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 4.00% from a day low at TRY 120.10 to a day high of TRY 124.90. |
90 days | TRY 93.00 | TRY 140.00 | |
52 weeks | TRY 53.70 | TRY 152.40 |
Date | Open | High | Low | Close | Volume |
Jan 30, 2024 | TRY 105.40 | TRY 105.90 | TRY 102.00 | TRY 103.50 | 421 491 |
Jan 29, 2024 | TRY 105.30 | TRY 107.30 | TRY 103.10 | TRY 105.20 | 591 100 |
Jan 26, 2024 | TRY 101.90 | TRY 104.30 | TRY 101.10 | TRY 103.50 | 502 166 |
Jan 25, 2024 | TRY 96.20 | TRY 103.00 | TRY 96.20 | TRY 101.60 | 1 057 279 |
Jan 24, 2024 | TRY 95.35 | TRY 96.60 | TRY 94.10 | TRY 95.90 | 284 140 |
Jan 23, 2024 | TRY 96.05 | TRY 97.75 | TRY 94.70 | TRY 95.10 | 324 982 |
Jan 22, 2024 | TRY 95.75 | TRY 96.80 | TRY 94.55 | TRY 95.30 | 364 049 |
Jan 19, 2024 | TRY 98.25 | TRY 98.25 | TRY 95.10 | TRY 95.75 | 318 115 |
Jan 18, 2024 | TRY 97.80 | TRY 98.95 | TRY 96.90 | TRY 97.10 | 373 753 |
Jan 17, 2024 | TRY 95.50 | TRY 98.70 | TRY 94.95 | TRY 97.75 | 413 411 |
Jan 16, 2024 | TRY 94.25 | TRY 96.80 | TRY 93.75 | TRY 95.15 | 522 494 |
Jan 15, 2024 | TRY 93.95 | TRY 96.40 | TRY 93.50 | TRY 94.25 | 459 505 |
Jan 12, 2024 | TRY 91.15 | TRY 94.55 | TRY 89.20 | TRY 93.95 | 545 147 |
Jan 11, 2024 | TRY 91.80 | TRY 93.50 | TRY 91.10 | TRY 91.65 | 280 507 |
Jan 10, 2024 | TRY 91.40 | TRY 94.90 | TRY 90.30 | TRY 91.50 | 437 042 |
Jan 09, 2024 | TRY 95.50 | TRY 97.00 | TRY 91.30 | TRY 91.45 | 395 603 |
Jan 08, 2024 | TRY 92.70 | TRY 96.50 | TRY 92.35 | TRY 94.95 | 622 351 |
Jan 05, 2024 | TRY 91.75 | TRY 94.00 | TRY 91.15 | TRY 92.45 | 320 921 |
Jan 04, 2024 | TRY 89.00 | TRY 91.40 | TRY 85.50 | TRY 91.30 | 253 300 |
Jan 03, 2024 | TRY 95.40 | TRY 95.40 | TRY 89.00 | TRY 89.00 | 350 823 |
Jan 02, 2024 | TRY 91.55 | TRY 94.80 | TRY 91.55 | TRY 93.95 | 318 803 |
Dec 29, 2023 | TRY 91.30 | TRY 92.25 | TRY 89.55 | TRY 91.10 | 370 077 |
Dec 28, 2023 | TRY 88.30 | TRY 92.20 | TRY 88.30 | TRY 91.10 | 243 831 |
Dec 27, 2023 | TRY 85.75 | TRY 89.95 | TRY 84.90 | TRY 88.10 | 336 133 |
Dec 26, 2023 | TRY 83.90 | TRY 87.65 | TRY 83.50 | TRY 85.75 | 290 664 |
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.
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 PARSN.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the PARSN.IS 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.
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.
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 PARSN.IS 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.