NASDAQ:NEO
NeoGenomics Stock Price (Quote)
$14.06
+0.90 (+6.84%)
At Close: Jun 12, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $12.78 | $16.12 | Wednesday, 12th Jun 2024 NEO stock ended at $14.06. This is 6.84% more than the trading day before Tuesday, 11th Jun 2024. During the day the stock fluctuated 6.20% from a day low at $13.54 to a day high of $14.38. |
90 days | $12.78 | $16.12 | |
52 weeks | $11.05 | $21.22 |
Historical NeoGenomics prices
Date | Open | High | Low | Close | Volume |
Nov 22, 2016 | $9.15 | $9.16 | $8.87 | $9.16 | 329 206 |
Nov 21, 2016 | $9.15 | $9.15 | $8.86 | $9.12 | 282 868 |
Nov 18, 2016 | $8.92 | $9.10 | $8.86 | $9.10 | 237 855 |
Nov 17, 2016 | $8.99 | $9.04 | $8.61 | $8.89 | 220 302 |
Nov 16, 2016 | $8.94 | $9.03 | $8.82 | $8.96 | 279 725 |
Nov 15, 2016 | $8.88 | $9.16 | $8.80 | $9.15 | 375 542 |
Nov 14, 2016 | $8.99 | $9.00 | $8.80 | $8.92 | 321 892 |
Nov 11, 2016 | $8.43 | $8.94 | $8.24 | $8.91 | 488 526 |
Nov 10, 2016 | $8.42 | $8.47 | $8.18 | $8.43 | 324 120 |
Nov 09, 2016 | $8.23 | $8.32 | $8.12 | $8.29 | 384 695 |
Nov 08, 2016 | $8.13 | $8.24 | $7.90 | $8.21 | 298 852 |
Nov 07, 2016 | $7.97 | $8.22 | $7.97 | $8.19 | 393 000 |
Nov 04, 2016 | $7.67 | $8.04 | $7.67 | $8.01 | 332 900 |
Nov 03, 2016 | $7.83 | $7.89 | $7.64 | $7.73 | 484 000 |
Nov 02, 2016 | $7.99 | $8.00 | $7.82 | $7.84 | 252 000 |
Nov 01, 2016 | $8.05 | $8.05 | $7.86 | $7.97 | 311 400 |
Oct 31, 2016 | $8.10 | $8.10 | $7.90 | $8.06 | 373 500 |
Oct 28, 2016 | $8.15 | $8.30 | $7.89 | $8.05 | 630 000 |
Oct 27, 2016 | $7.35 | $8.19 | $7.21 | $8.17 | 1 669 800 |
Oct 26, 2016 | $7.22 | $7.66 | $6.90 | $7.13 | 1 098 000 |
Oct 25, 2016 | $7.49 | $7.58 | $7.23 | $7.32 | 494 500 |
Oct 24, 2016 | $7.65 | $7.83 | $7.49 | $7.50 | 236 500 |
Oct 21, 2016 | $7.75 | $7.78 | $7.59 | $7.59 | 205 500 |
Oct 20, 2016 | $7.62 | $7.96 | $7.62 | $7.83 | 226 100 |
Oct 19, 2016 | $7.72 | $7.80 | $7.60 | $7.67 | 244 900 |
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 NEO stock historical prices to predict future price movements?
Trend Analysis: Examine the NEO 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 NEO 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.