NYSE:MN
Delisted
Manning & Napier Inc Stock Price (Quote)
$12.85
+0 (+0%)
At Close: Jan 27, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $12.85 | $12.85 | Friday, 27th Jan 2023 MN stock ended at $12.85. During the day the stock fluctuated 0% from a day low at $12.85 to a day high of $12.85. |
90 days | $12.85 | $12.85 | |
52 weeks | $7.62 | $12.91 |
Date | Open | High | Low | Close | Volume |
Oct 10, 2022 | $12.46 | $12.63 | $12.44 | $12.55 | 208 770 |
Oct 07, 2022 | $12.44 | $12.45 | $12.35 | $12.44 | 197 704 |
Oct 06, 2022 | $12.45 | $12.49 | $12.42 | $12.45 | 158 453 |
Oct 05, 2022 | $12.60 | $12.64 | $12.46 | $12.50 | 288 297 |
Oct 04, 2022 | $12.40 | $12.70 | $12.35 | $12.65 | 405 037 |
Oct 03, 2022 | $12.34 | $12.41 | $12.17 | $12.39 | 192 519 |
Sep 30, 2022 | $12.21 | $12.39 | $12.17 | $12.27 | 274 395 |
Sep 29, 2022 | $12.29 | $12.33 | $12.11 | $12.26 | 343 452 |
Sep 28, 2022 | $12.13 | $12.32 | $12.13 | $12.26 | 198 386 |
Sep 27, 2022 | $11.80 | $12.28 | $11.80 | $12.16 | 355 103 |
Sep 26, 2022 | $11.86 | $11.86 | $11.65 | $11.76 | 521 228 |
Sep 23, 2022 | $12.24 | $12.25 | $11.63 | $11.82 | 510 204 |
Sep 22, 2022 | $12.44 | $12.48 | $12.25 | $12.28 | 195 454 |
Sep 21, 2022 | $12.37 | $12.50 | $12.37 | $12.46 | 259 806 |
Sep 20, 2022 | $12.32 | $12.38 | $12.21 | $12.38 | 384 695 |
Sep 19, 2022 | $12.39 | $12.43 | $12.36 | $12.37 | 163 110 |
Sep 16, 2022 | $12.55 | $12.55 | $12.20 | $12.39 | 382 027 |
Sep 15, 2022 | $12.56 | $12.57 | $12.55 | $12.55 | 121 298 |
Sep 14, 2022 | $12.60 | $12.65 | $12.54 | $12.60 | 780 210 |
Sep 13, 2022 | $12.58 | $12.67 | $12.58 | $12.63 | 94 284 |
Sep 12, 2022 | $12.60 | $12.64 | $12.55 | $12.64 | 342 722 |
Sep 09, 2022 | $12.80 | $12.80 | $12.55 | $12.55 | 501 138 |
Sep 08, 2022 | $12.80 | $12.80 | $12.77 | $12.80 | 55 765 |
Sep 07, 2022 | $12.76 | $12.81 | $12.74 | $12.79 | 158 516 |
Sep 06, 2022 | $12.74 | $12.75 | $12.72 | $12.75 | 128 068 |
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 MN stock historical prices to predict future price movements?
Trend Analysis: Examine the MN 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 MN 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.