NYSE:FMSA
Delisted
Fairmount Santrol Holdings Inc Fund Price (Quote)
$5.63
+0 (+0%)
At Close: Jun 05, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.34 | $6.39 | Tuesday, 5th Jun 2018 FMSA stock ended at $5.63. During the day the stock fluctuated 0% from a day low at $5.63 to a day high of $5.63. |
90 days | $3.85 | $6.39 | |
52 weeks | $2.46 | $6.39 |
Date | Open | High | Low | Close | Volume |
Mar 23, 2018 | $4.57 | $4.65 | $4.39 | $4.45 | 1 442 840 |
Mar 22, 2018 | $4.42 | $4.68 | $4.42 | $4.54 | 1 794 996 |
Mar 21, 2018 | $4.22 | $4.58 | $4.16 | $4.52 | 2 448 724 |
Mar 20, 2018 | $4.25 | $4.32 | $4.14 | $4.19 | 2 429 938 |
Mar 19, 2018 | $4.29 | $4.32 | $4.13 | $4.20 | 1 331 018 |
Mar 16, 2018 | $4.14 | $4.36 | $4.12 | $4.27 | 2 995 437 |
Mar 15, 2018 | $4.29 | $4.30 | $4.06 | $4.13 | 2 059 896 |
Mar 14, 2018 | $4.29 | $4.33 | $4.16 | $4.24 | 1 610 002 |
Mar 13, 2018 | $4.34 | $4.42 | $4.25 | $4.27 | 3 325 504 |
Mar 12, 2018 | $4.23 | $4.37 | $4.23 | $4.35 | 4 045 139 |
Mar 09, 2018 | $4.22 | $4.40 | $4.17 | $4.33 | 4 214 224 |
Mar 08, 2018 | $3.90 | $4.25 | $3.85 | $4.19 | 5 756 728 |
Mar 07, 2018 | $4.53 | $4.63 | $4.38 | $4.49 | 2 916 328 |
Mar 06, 2018 | $4.61 | $4.70 | $4.51 | $4.58 | 1 081 612 |
Mar 05, 2018 | $4.63 | $4.80 | $4.57 | $4.59 | 2 133 478 |
Mar 02, 2018 | $4.47 | $4.74 | $4.37 | $4.67 | 1 980 490 |
Mar 01, 2018 | $4.48 | $4.63 | $4.41 | $4.56 | 4 260 838 |
Feb 28, 2018 | $4.75 | $4.79 | $4.46 | $4.48 | 2 679 919 |
Feb 27, 2018 | $4.84 | $4.92 | $4.70 | $4.71 | 1 927 533 |
Feb 26, 2018 | $4.82 | $4.86 | $4.68 | $4.83 | 1 936 501 |
Feb 23, 2018 | $4.71 | $4.83 | $4.61 | $4.80 | 2 842 296 |
Feb 22, 2018 | $4.69 | $4.82 | $4.64 | $4.67 | 2 885 034 |
Feb 21, 2018 | $4.97 | $5.02 | $4.56 | $4.60 | 4 650 191 |
Feb 20, 2018 | $5.24 | $5.34 | $5.00 | $5.05 | 2 676 407 |
Feb 16, 2018 | $5.03 | $5.31 | $5.03 | $5.21 | 2 218 441 |
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 FMSA stock historical prices to predict future price movements?
Trend Analysis: Examine the FMSA 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 FMSA 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.