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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

Historical Village Farms International Inc. prices

Date Open High Low Close Volume
Jan 12, 2022 $8.12 $8.12 $8.12 $8.12 0
Jan 11, 2022 $8.12 $8.12 $8.12 $8.12 0
Jan 10, 2022 $8.12 $8.12 $8.12 $8.12 0
Jan 07, 2022 $8.12 $8.12 $8.12 $8.12 0
Jan 06, 2022 $8.12 $8.12 $8.12 $8.12 0
Jan 05, 2022 $8.12 $8.12 $8.12 $8.12 0
Jan 04, 2022 $8.12 $8.12 $8.12 $8.12 0
Dec 31, 2021 $8.00 $8.48 $7.93 $8.12 4 316 496
Dec 30, 2021 $8.03 $8.30 $7.95 $8.05 312 400
Dec 29, 2021 $8.23 $8.38 $8.04 $8.05 558 327
Dec 24, 2021 $8.40 $9.09 $8.34 $8.78 223 380
Dec 23, 2021 $8.22 $8.48 $8.09 $8.39 270 913
Dec 22, 2021 $8.11 $8.26 $7.98 $8.20 241 678
Dec 21, 2021 $7.80 $8.18 $7.78 $8.18 336 695
Dec 20, 2021 $7.90 $7.90 $7.59 $7.78 398 318
Dec 17, 2021 $7.49 $8.12 $7.35 $8.10 602 870
Dec 16, 2021 $7.65 $7.76 $7.49 $7.54 382 578
Dec 15, 2021 $7.65 $7.67 $7.25 $7.62 664 238
Dec 14, 2021 $7.79 $7.89 $7.60 $7.65 608 260
Dec 13, 2021 $8.08 $8.21 $7.89 $8.05 266 973
Dec 10, 2021 $8.48 $8.57 $8.08 $8.12 182 362
Dec 09, 2021 $8.60 $8.74 $8.37 $8.44 171 866
Dec 08, 2021 $8.66 $8.82 $8.45 $8.69 261 027
Dec 07, 2021 $8.65 $8.77 $8.53 $8.62 299 110
Dec 06, 2021 $7.99 $8.57 $7.86 $8.44 506 858

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 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.

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 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.
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