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 |
Feb 15, 2018 | $5.04 | $5.13 | $4.76 | $5.10 | 3 613 153 |
Feb 14, 2018 | $4.66 | $5.02 | $4.66 | $5.00 | 2 000 548 |
Feb 13, 2018 | $4.69 | $4.82 | $4.69 | $4.77 | 1 841 405 |
Feb 12, 2018 | $4.53 | $4.81 | $4.49 | $4.76 | 2 699 468 |
Feb 09, 2018 | $4.66 | $4.73 | $4.34 | $4.47 | 4 486 916 |
Feb 08, 2018 | $4.95 | $5.04 | $4.61 | $4.64 | 3 970 048 |
Feb 07, 2018 | $5.19 | $5.25 | $4.93 | $4.95 | 2 597 314 |
Feb 06, 2018 | $4.95 | $5.30 | $4.89 | $5.19 | 3 077 213 |
Feb 05, 2018 | $5.09 | $5.37 | $4.98 | $5.06 | 3 846 097 |
Feb 02, 2018 | $5.40 | $5.42 | $5.13 | $5.20 | 4 146 950 |
Feb 01, 2018 | $5.58 | $5.68 | $5.43 | $5.48 | 2 956 532 |
Jan 31, 2018 | $5.64 | $5.68 | $5.50 | $5.57 | 1 661 573 |
Jan 30, 2018 | $5.49 | $5.71 | $5.35 | $5.62 | 2 610 455 |
Jan 29, 2018 | $5.67 | $5.74 | $5.54 | $5.60 | 2 081 744 |
Jan 26, 2018 | $5.84 | $5.88 | $5.68 | $5.74 | 2 393 617 |
Jan 25, 2018 | $6.00 | $6.00 | $5.78 | $5.81 | 2 563 068 |
Jan 24, 2018 | $5.85 | $5.98 | $5.70 | $5.97 | 3 736 864 |
Jan 23, 2018 | $5.87 | $5.91 | $5.70 | $5.84 | 3 295 759 |
Jan 22, 2018 | $5.90 | $5.96 | $5.79 | $5.86 | 2 089 148 |
Jan 19, 2018 | $5.81 | $5.90 | $5.76 | $5.88 | 2 861 416 |
Jan 18, 2018 | $5.98 | $6.00 | $5.83 | $5.89 | 2 888 326 |
Jan 17, 2018 | $5.90 | $6.06 | $5.72 | $6.02 | 2 711 358 |
Jan 16, 2018 | $6.15 | $6.21 | $5.76 | $5.84 | 3 821 628 |
Jan 12, 2018 | $5.95 | $6.13 | $5.85 | $6.05 | 3 344 621 |
Jan 11, 2018 | $6.09 | $6.20 | $5.92 | $6.03 | 3 731 563 |
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.