$2.71
+0 (+0%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $2.39 | $3.37 | Tuesday, 23rd Jun 2026 FLL stock ended at $2.71. During the day the stock fluctuated 4.14% from a day low at $2.66 to a day high of $2.77. |
| 90 days | $2.13 | $3.37 | |
| 52 weeks | $2.11 | $4.95 |
Historical Full House Resorts prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $2.71 | $2.77 | $2.66 | $2.71 | 140 988 |
| Jun 22, 2026 | $2.89 | $2.90 | $2.71 | $2.71 | 160 549 |
| Jun 18, 2026 | $2.83 | $2.92 | $2.82 | $2.88 | 140 499 |
| Jun 17, 2026 | $2.96 | $2.96 | $2.80 | $2.83 | 124 637 |
| Jun 16, 2026 | $3.04 | $3.05 | $2.89 | $2.90 | 268 901 |
| Jun 15, 2026 | $3.32 | $3.35 | $3.00 | $3.04 | 379 452 |
| Jun 12, 2026 | $2.94 | $3.37 | $2.88 | $3.32 | 743 723 |
| Jun 11, 2026 | $2.86 | $2.94 | $2.78 | $2.90 | 226 934 |
| Jun 10, 2026 | $2.47 | $2.89 | $2.44 | $2.88 | 636 712 |
| Jun 09, 2026 | $2.43 | $2.54 | $2.42 | $2.44 | 212 555 |
| Jun 08, 2026 | $2.49 | $2.52 | $2.42 | $2.42 | 96 914 |
| Jun 05, 2026 | $2.60 | $2.60 | $2.39 | $2.45 | 348 264 |
| Jun 04, 2026 | $2.49 | $2.62 | $2.48 | $2.57 | 196 600 |
| Jun 03, 2026 | $2.46 | $2.57 | $2.43 | $2.47 | 170 093 |
| Jun 02, 2026 | $2.58 | $2.60 | $2.46 | $2.51 | 232 821 |
| Jun 01, 2026 | $2.51 | $2.60 | $2.51 | $2.57 | 239 304 |
| May 29, 2026 | $2.68 | $2.70 | $2.49 | $2.50 | 231 580 |
| May 28, 2026 | $2.70 | $2.78 | $2.65 | $2.68 | 120 105 |
| May 27, 2026 | $2.64 | $2.75 | $2.61 | $2.69 | 120 602 |
| May 26, 2026 | $2.68 | $2.71 | $2.58 | $2.58 | 151 906 |
| May 22, 2026 | $2.81 | $2.82 | $2.57 | $2.66 | 524 496 |
| May 21, 2026 | $2.67 | $2.81 | $2.67 | $2.81 | 111 422 |
| May 20, 2026 | $2.70 | $2.77 | $2.65 | $2.74 | 176 350 |
| May 19, 2026 | $2.70 | $2.73 | $2.66 | $2.72 | 58 215 |
| May 18, 2026 | $2.65 | $2.87 | $2.63 | $2.73 | 48 384 |
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 FLL stock historical prices to predict future price movements?
Trend Analysis: Examine the FLL 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 FLL 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.
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