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 |
Feb 12, 2019 | $2.79 | $2.93 | $2.73 | $2.87 | 1 429 518 |
Feb 11, 2019 | $3.02 | $3.07 | $2.73 | $2.82 | 2 576 475 |
Feb 08, 2019 | $3.09 | $3.13 | $2.99 | $3.00 | 743 020 |
Feb 07, 2019 | $3.03 | $3.10 | $2.99 | $3.06 | 924 562 |
Feb 06, 2019 | $3.17 | $3.24 | $3.02 | $3.03 | 1 338 706 |
Feb 05, 2019 | $3.27 | $3.36 | $3.12 | $3.20 | 1 184 965 |
Feb 04, 2019 | $3.39 | $3.53 | $3.27 | $3.27 | 1 859 972 |
Feb 01, 2019 | $3.37 | $3.49 | $3.24 | $3.32 | 2 498 178 |
Jan 31, 2019 | $3.60 | $3.68 | $3.51 | $3.54 | 842 955 |
Jan 30, 2019 | $3.59 | $3.84 | $3.44 | $3.62 | 1 801 087 |
Jan 29, 2019 | $3.63 | $3.71 | $3.36 | $3.58 | 1 080 322 |
Jan 28, 2019 | $3.30 | $3.63 | $3.23 | $3.62 | 1 520 113 |
Jan 25, 2019 | $3.21 | $3.48 | $3.13 | $3.42 | 973 057 |
Jan 24, 2019 | $3.04 | $3.19 | $3.01 | $3.18 | 618 178 |
Jan 23, 2019 | $3.05 | $3.13 | $3.00 | $3.04 | 607 463 |
Jan 22, 2019 | $3.10 | $3.14 | $3.03 | $3.04 | 503 418 |
Jan 18, 2019 | $3.19 | $3.22 | $3.08 | $3.10 | 507 499 |
Jan 17, 2019 | $3.19 | $3.26 | $3.04 | $3.09 | 989 856 |
Jan 16, 2019 | $3.06 | $3.15 | $3.02 | $3.07 | 595 455 |
Jan 15, 2019 | $3.23 | $3.30 | $3.05 | $3.07 | 906 775 |
Jan 14, 2019 | $3.35 | $3.39 | $3.16 | $3.25 | 800 265 |
Jan 11, 2019 | $3.25 | $3.39 | $3.19 | $3.30 | 982 982 |
Jan 10, 2019 | $3.09 | $3.24 | $3.01 | $3.19 | 1 105 453 |
Jan 09, 2019 | $3.21 | $3.34 | $3.05 | $3.14 | 1 826 212 |
Jan 08, 2019 | $3.27 | $3.54 | $3.27 | $3.37 | 1 477 618 |
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.