NYSE:FXLV
F45 Training Holdings Inc. Stock Price (Quote)
$0.100
+0 (+0%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0600 | $0.150 | Friday, 14th Jun 2024 FXLV stock ended at $0.100. During the day the stock fluctuated 0% from a day low at $0.100 to a day high of $0.100. |
90 days | $0.0230 | $0.200 | |
52 weeks | $0.0003 | $0.89 |
Historical F45 Training Holdings Inc. prices
Date | Open | High | Low | Close | Volume |
Apr 05, 2023 | $1.08 | $1.13 | $1.04 | $1.13 | 405 409 |
Apr 04, 2023 | $1.14 | $1.14 | $1.01 | $1.08 | 579 623 |
Apr 03, 2023 | $1.17 | $1.21 | $1.05 | $1.13 | 851 021 |
Mar 31, 2023 | $1.28 | $1.35 | $1.13 | $1.16 | 972 620 |
Mar 30, 2023 | $1.36 | $1.71 | $1.27 | $1.27 | 2 597 401 |
Mar 29, 2023 | $1.20 | $1.25 | $1.17 | $1.23 | 664 777 |
Mar 28, 2023 | $1.24 | $1.28 | $1.14 | $1.18 | 369 390 |
Mar 27, 2023 | $1.24 | $1.37 | $1.24 | $1.28 | 295 985 |
Mar 24, 2023 | $1.22 | $1.27 | $1.14 | $1.19 | 446 948 |
Mar 23, 2023 | $1.16 | $1.27 | $1.14 | $1.27 | 152 346 |
Mar 22, 2023 | $1.24 | $1.30 | $1.12 | $1.13 | 385 920 |
Mar 21, 2023 | $1.30 | $1.35 | $1.24 | $1.24 | 325 592 |
Mar 20, 2023 | $1.50 | $1.50 | $1.25 | $1.27 | 488 313 |
Mar 17, 2023 | $1.60 | $1.61 | $1.51 | $1.52 | 257 220 |
Mar 16, 2023 | $1.72 | $1.76 | $1.57 | $1.59 | 358 107 |
Mar 15, 2023 | $1.80 | $1.85 | $1.67 | $1.75 | 244 682 |
Mar 14, 2023 | $1.94 | $2.01 | $1.81 | $1.85 | 340 630 |
Mar 13, 2023 | $1.76 | $1.90 | $1.75 | $1.85 | 200 471 |
Mar 10, 2023 | $1.90 | $1.91 | $1.77 | $1.79 | 414 412 |
Mar 09, 2023 | $2.10 | $2.14 | $1.90 | $1.90 | 264 893 |
Mar 08, 2023 | $2.19 | $2.23 | $2.10 | $2.11 | 218 682 |
Mar 07, 2023 | $2.28 | $2.25 | $2.18 | $2.23 | 268 212 |
Mar 06, 2023 | $2.29 | $2.32 | $2.24 | $2.24 | 348 871 |
Mar 03, 2023 | $2.17 | $2.34 | $2.10 | $2.33 | 546 211 |
Mar 02, 2023 | $1.99 | $2.12 | $1.89 | $2.10 | 532 881 |
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 FXLV stock historical prices to predict future price movements?
Trend Analysis: Examine the FXLV 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 FXLV 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.