NASDAQ:FMI
Delisted
Foundation Medicine Fund Price (Quote)
$137.00
+0 (+0%)
At Close: Sep 18, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $137.00 | $137.00 | Tuesday, 18th Sep 2018 FMI stock ended at $137.00. During the day the stock fluctuated 0% from a day low at $137.00 to a day high of $137.00. |
90 days | $136.35 | $137.00 | |
52 weeks | $37.51 | $137.20 |
Date | Open | High | Low | Close | Volume |
Jan 09, 2018 | $66.70 | $69.40 | $66.10 | $68.15 | 268 332 |
Jan 08, 2018 | $70.70 | $70.90 | $65.70 | $66.10 | 499 897 |
Jan 05, 2018 | $64.90 | $66.75 | $64.06 | $65.70 | 186 882 |
Jan 04, 2018 | $63.20 | $65.80 | $63.00 | $64.95 | 199 188 |
Jan 03, 2018 | $62.30 | $63.05 | $60.41 | $63.05 | 180 885 |
Jan 02, 2018 | $68.20 | $68.20 | $61.55 | $62.60 | 480 498 |
Dec 29, 2017 | $68.95 | $69.65 | $66.55 | $68.20 | 304 102 |
Dec 28, 2017 | $68.20 | $69.10 | $67.35 | $68.85 | 123 773 |
Dec 27, 2017 | $67.20 | $68.20 | $66.05 | $67.95 | 115 369 |
Dec 26, 2017 | $66.05 | $68.50 | $64.15 | $67.20 | 218 793 |
Dec 22, 2017 | $62.20 | $66.40 | $61.00 | $66.10 | 180 989 |
Dec 21, 2017 | $64.75 | $64.75 | $62.25 | $62.60 | 132 425 |
Dec 20, 2017 | $64.65 | $64.80 | $63.60 | $64.35 | 107 842 |
Dec 19, 2017 | $63.70 | $64.65 | $63.50 | $64.00 | 140 381 |
Dec 18, 2017 | $58.60 | $64.25 | $58.60 | $63.70 | 226 803 |
Dec 15, 2017 | $59.50 | $60.20 | $58.00 | $58.45 | 697 288 |
Dec 14, 2017 | $61.95 | $62.35 | $59.10 | $59.40 | 215 647 |
Dec 13, 2017 | $62.35 | $63.12 | $60.90 | $61.75 | 199 807 |
Dec 12, 2017 | $64.15 | $65.40 | $62.30 | $62.45 | 203 235 |
Dec 11, 2017 | $67.50 | $69.07 | $63.28 | $63.80 | 335 849 |
Dec 08, 2017 | $62.80 | $68.00 | $62.80 | $67.10 | 418 767 |
Dec 07, 2017 | $58.20 | $62.70 | $58.20 | $62.25 | 383 901 |
Dec 06, 2017 | $58.60 | $59.27 | $56.40 | $58.30 | 306 207 |
Dec 05, 2017 | $61.55 | $64.15 | $58.55 | $58.90 | 461 069 |
Dec 04, 2017 | $65.50 | $70.75 | $59.81 | $62.25 | 1 441 823 |
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 FMI stock historical prices to predict future price movements?
Trend Analysis: Examine the FMI 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 FMI 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.