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 |
Apr 30, 2018 | $5.52 | $5.72 | $5.47 | $5.50 | 1 718 195 |
Apr 27, 2018 | $5.53 | $5.63 | $5.37 | $5.53 | 1 685 231 |
Apr 26, 2018 | $5.55 | $5.61 | $5.47 | $5.58 | 2 300 997 |
Apr 25, 2018 | $5.18 | $5.53 | $5.02 | $5.51 | 2 463 375 |
Apr 24, 2018 | $5.28 | $5.40 | $5.18 | $5.22 | 1 482 464 |
Apr 23, 2018 | $5.27 | $5.34 | $5.17 | $5.23 | 885 140 |
Apr 20, 2018 | $5.22 | $5.36 | $5.11 | $5.30 | 1 348 505 |
Apr 19, 2018 | $5.31 | $5.37 | $5.17 | $5.25 | 1 381 707 |
Apr 18, 2018 | $5.22 | $5.35 | $5.18 | $5.30 | 1 756 951 |
Apr 17, 2018 | $5.08 | $5.22 | $5.04 | $5.15 | 1 579 236 |
Apr 16, 2018 | $5.14 | $5.18 | $5.03 | $5.06 | 1 194 984 |
Apr 13, 2018 | $5.13 | $5.23 | $5.06 | $5.15 | 1 731 536 |
Apr 12, 2018 | $4.93 | $5.15 | $4.77 | $5.08 | 2 355 014 |
Apr 11, 2018 | $4.68 | $5.07 | $4.67 | $5.00 | 2 764 132 |
Apr 10, 2018 | $4.49 | $4.79 | $4.49 | $4.72 | 1 915 760 |
Apr 09, 2018 | $4.63 | $4.66 | $4.38 | $4.40 | 1 460 476 |
Apr 06, 2018 | $4.59 | $4.68 | $4.51 | $4.56 | 2 022 023 |
Apr 05, 2018 | $4.52 | $4.73 | $4.50 | $4.62 | 1 491 736 |
Apr 04, 2018 | $4.24 | $4.54 | $4.21 | $4.50 | 1 702 700 |
Apr 03, 2018 | $4.27 | $4.37 | $4.14 | $4.34 | 1 067 213 |
Apr 02, 2018 | $4.21 | $4.25 | $4.05 | $4.22 | 2 009 131 |
Mar 29, 2018 | $4.14 | $4.27 | $4.12 | $4.25 | 1 204 111 |
Mar 28, 2018 | $4.18 | $4.24 | $4.02 | $4.12 | 1 257 292 |
Mar 27, 2018 | $4.37 | $4.44 | $4.15 | $4.15 | 1 124 166 |
Mar 26, 2018 | $4.53 | $4.57 | $4.19 | $4.35 | 1 230 636 |
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.