CNQ:FFNT
4Front Ventures Corp. Stock Price (Quote)
$0.175
+0.0200 (+12.90%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0900 | $0.200 | Friday, 17th May 2024 FFNT.CN stock ended at $0.175. This is 12.90% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 14.29% from a day low at $0.175 to a day high of $0.200. |
90 days | $0.0900 | $0.200 | |
52 weeks | $0.0750 | $0.400 |
Date | Open | High | Low | Close | Volume |
Oct 04, 2019 | $0.630 | $0.670 | $0.630 | $0.660 | 95 751 |
Oct 03, 2019 | $0.670 | $0.680 | $0.640 | $0.650 | 100 441 |
Oct 02, 2019 | $0.670 | $0.690 | $0.640 | $0.680 | 118 027 |
Oct 01, 2019 | $0.680 | $0.710 | $0.670 | $0.680 | 194 700 |
Sep 30, 2019 | $0.690 | $0.700 | $0.650 | $0.700 | 162 729 |
Sep 27, 2019 | $0.720 | $0.770 | $0.680 | $0.700 | 121 181 |
Sep 26, 2019 | $0.730 | $0.80 | $0.710 | $0.730 | 292 304 |
Sep 25, 2019 | $0.780 | $0.780 | $0.750 | $0.760 | 196 333 |
Sep 24, 2019 | $0.790 | $0.80 | $0.770 | $0.80 | 84 382 |
Sep 23, 2019 | $0.790 | $0.81 | $0.760 | $0.80 | 313 965 |
Sep 20, 2019 | $0.80 | $0.81 | $0.760 | $0.80 | 303 983 |
Sep 19, 2019 | $0.720 | $0.87 | $0.670 | $0.80 | 453 589 |
Sep 18, 2019 | $0.690 | $0.710 | $0.680 | $0.710 | 158 571 |
Sep 17, 2019 | $0.690 | $0.700 | $0.640 | $0.690 | 147 235 |
Sep 16, 2019 | $0.700 | $0.710 | $0.680 | $0.700 | 160 696 |
Sep 13, 2019 | $0.740 | $0.760 | $0.700 | $0.720 | 140 505 |
Sep 12, 2019 | $0.760 | $0.760 | $0.720 | $0.730 | 113 732 |
Sep 11, 2019 | $0.730 | $0.81 | $0.720 | $0.760 | 241 016 |
Sep 10, 2019 | $0.81 | $0.81 | $0.710 | $0.740 | 145 087 |
Sep 09, 2019 | $0.85 | $0.85 | $0.780 | $0.790 | 168 770 |
Sep 06, 2019 | $0.89 | $0.89 | $0.780 | $0.85 | 144 884 |
Sep 05, 2019 | $0.80 | $0.90 | $0.80 | $0.90 | 371 755 |
Sep 04, 2019 | $0.80 | $0.83 | $0.780 | $0.80 | 442 697 |
Sep 03, 2019 | $0.720 | $0.83 | $0.680 | $0.82 | 213 550 |
Aug 30, 2019 | $0.730 | $0.730 | $0.700 | $0.710 | 268 342 |
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 FFNT.CN stock historical prices to predict future price movements?
Trend Analysis: Examine the FFNT.CN 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 FFNT.CN 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.