PINK:MMNFF
Medmen Enterprises Inc Stock Price (Quote)
$0.000001
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.000001 | $0.0013 | Friday, 17th May 2024 MMNFF stock ended at $0.000001. During the day the stock fluctuated 0% from a day low at $0.000001 to a day high of $0.000001. |
90 days | $0.000001 | $0.0013 | |
52 weeks | $0.000001 | $0.0360 |
Date | Open | High | Low | Close | Volume |
May 31, 2019 | $2.21 | $2.23 | $2.00 | $2.19 | 2 209 457 |
May 30, 2019 | $2.37 | $2.37 | $2.22 | $2.24 | 1 065 748 |
May 29, 2019 | $2.40 | $2.40 | $2.29 | $2.37 | 602 958 |
May 28, 2019 | $2.25 | $2.38 | $2.24 | $2.36 | 1 234 945 |
May 24, 2019 | $2.20 | $2.28 | $2.18 | $2.19 | 875 773 |
May 23, 2019 | $2.34 | $2.38 | $2.15 | $2.22 | 1 883 202 |
May 22, 2019 | $2.45 | $2.50 | $2.36 | $2.39 | 940 331 |
May 21, 2019 | $2.46 | $2.51 | $2.44 | $2.46 | 792 829 |
May 20, 2019 | $2.42 | $2.50 | $2.42 | $2.49 | 639 806 |
May 17, 2019 | $2.40 | $2.44 | $2.36 | $2.42 | 637 555 |
May 16, 2019 | $2.41 | $2.45 | $2.35 | $2.37 | 949 761 |
May 15, 2019 | $2.49 | $2.50 | $2.32 | $2.44 | 834 792 |
May 14, 2019 | $2.44 | $2.50 | $2.43 | $2.46 | 595 093 |
May 13, 2019 | $2.54 | $2.55 | $2.39 | $2.44 | 922 042 |
May 10, 2019 | $2.56 | $2.66 | $2.51 | $2.54 | 1 006 302 |
May 09, 2019 | $2.45 | $2.56 | $2.39 | $2.54 | 1 067 617 |
May 08, 2019 | $2.51 | $2.53 | $2.44 | $2.46 | 1 425 650 |
May 07, 2019 | $2.60 | $2.62 | $2.50 | $2.54 | 1 233 053 |
May 06, 2019 | $2.70 | $2.73 | $2.59 | $2.60 | 1 279 587 |
May 03, 2019 | $2.69 | $2.75 | $2.62 | $2.68 | 769 216 |
May 02, 2019 | $2.77 | $2.78 | $2.64 | $2.68 | 1 273 005 |
May 01, 2019 | $2.77 | $2.80 | $2.73 | $2.75 | 692 724 |
Apr 30, 2019 | $2.78 | $2.81 | $2.73 | $2.75 | 524 738 |
Apr 29, 2019 | $2.79 | $2.86 | $2.73 | $2.78 | 888 451 |
Apr 26, 2019 | $2.74 | $2.82 | $2.71 | $2.79 | 732 891 |
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 MMNFF stock historical prices to predict future price movements?
Trend Analysis: Examine the MMNFF 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 MMNFF 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.