TSX:VFF
Delisted
Village Farms International Inc. Stock Price (Quote)
$8.12
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.12 | $8.12 | Wednesday, 17th Aug 2022 VFF.TO stock ended at $8.12. During the day the stock fluctuated 0% from a day low at $8.12 to a day high of $8.12. |
90 days | $8.12 | $8.12 | |
52 weeks | $7.25 | $12.22 |
Date | Open | High | Low | Close | Volume |
Dec 03, 2021 | $8.17 | $8.17 | $7.80 | $7.92 | 491 709 |
Dec 02, 2021 | $8.03 | $8.24 | $7.92 | $8.15 | 320 870 |
Dec 01, 2021 | $8.55 | $8.62 | $7.98 | $8.00 | 417 681 |
Nov 30, 2021 | $8.54 | $8.71 | $8.21 | $8.50 | 506 922 |
Nov 29, 2021 | $8.97 | $9.07 | $8.58 | $8.66 | 335 725 |
Nov 26, 2021 | $9.00 | $9.07 | $8.73 | $8.88 | 331 590 |
Nov 25, 2021 | $9.39 | $9.39 | $9.19 | $9.23 | 75 474 |
Nov 24, 2021 | $9.10 | $9.47 | $9.00 | $9.31 | 315 459 |
Nov 23, 2021 | $9.43 | $9.52 | $9.11 | $9.19 | 291 606 |
Nov 22, 2021 | $9.68 | $9.68 | $9.13 | $9.32 | 386 837 |
Nov 19, 2021 | $9.80 | $9.90 | $9.49 | $9.60 | 330 014 |
Nov 18, 2021 | $10.54 | $9.79 | $9.67 | $9.79 | 563 137 |
Nov 17, 2021 | $10.83 | $10.46 | $10.39 | $10.46 | 421 175 |
Nov 16, 2021 | $11.26 | $10.91 | $10.65 | $10.91 | 497 036 |
Nov 15, 2021 | $11.31 | $11.36 | $11.03 | $11.36 | 782 161 |
Nov 12, 2021 | $11.20 | $11.11 | $10.59 | $11.11 | 839 547 |
Nov 11, 2021 | $10.86 | $11.03 | $10.69 | $11.03 | 399 072 |
Nov 10, 2021 | $11.26 | $10.73 | $10.68 | $10.73 | 535 718 |
Nov 09, 2021 | $11.20 | $11.55 | $10.44 | $11.55 | 1 056 327 |
Nov 08, 2021 | $9.70 | $10.42 | $9.62 | $10.42 | 655 859 |
Nov 05, 2021 | $9.57 | $9.55 | $9.29 | $9.55 | 396 592 |
Nov 04, 2021 | $9.80 | $9.53 | $9.53 | $9.53 | 169 966 |
Nov 03, 2021 | $9.53 | $9.76 | $9.41 | $9.76 | 262 851 |
Nov 02, 2021 | $9.83 | $9.55 | $9.41 | $9.55 | 207 748 |
Nov 01, 2021 | $9.48 | $9.80 | $9.34 | $9.80 | 269 924 |
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 VFF.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the VFF.TO 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 VFF.TO 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.