$1.00
+0.0023 (+0.231%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.86 | $1.21 | Monday, 10th Aug 2026 FLNA stock ended at $1.00. This is 0.231% more than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 7.69% from a day low at $0.98 to a day high of $1.05. |
| 90 days | $0.86 | $1.60 | |
| 52 weeks | $0.86 | $2.27 |
Historical Fuelnation Inc prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | $0.98 | $1.05 | $0.98 | $1.00 | 526 253 |
| Aug 07, 2026 | $0.96 | $1.03 | $0.95 | $1.00 | 612 340 |
| Aug 06, 2026 | $0.95 | $0.99 | $0.93 | $0.96 | 422 317 |
| Aug 05, 2026 | $1.00 | $1.00 | $0.95 | $0.96 | 171 730 |
| Aug 04, 2026 | $1.03 | $1.03 | $0.98 | $1.00 | 382 437 |
| Aug 03, 2026 | $1.02 | $1.04 | $1.00 | $1.03 | 291 174 |
| Jul 31, 2026 | $0.96 | $1.02 | $0.94 | $1.01 | 330 660 |
| Jul 30, 2026 | $0.86 | $0.96 | $0.86 | $0.96 | 330 364 |
| Jul 29, 2026 | $0.89 | $0.90 | $0.86 | $0.87 | 0 |
| Jul 28, 2026 | $0.92 | $0.95 | $0.88 | $0.88 | 163 202 |
| Jul 27, 2026 | $0.90 | $0.92 | $0.90 | $0.90 | 215 286 |
| Jul 24, 2026 | $0.93 | $0.94 | $0.89 | $0.89 | 260 958 |
| Jul 23, 2026 | $0.95 | $0.96 | $0.90 | $0.93 | 481 921 |
| Jul 22, 2026 | $1.02 | $1.02 | $0.96 | $0.96 | 486 684 |
| Jul 21, 2026 | $1.03 | $1.03 | $1.00 | $1.01 | 276 590 |
| Jul 20, 2026 | $1.04 | $1.06 | $1.00 | $1.02 | 400 482 |
| Jul 17, 2026 | $1.06 | $1.09 | $1.05 | $1.06 | 162 468 |
| Jul 16, 2026 | $1.09 | $1.10 | $1.05 | $1.08 | 394 685 |
| Jul 15, 2026 | $1.09 | $1.13 | $1.09 | $1.10 | 222 062 |
| Jul 14, 2026 | $1.14 | $1.14 | $1.07 | $1.09 | 0 |
| Jul 13, 2026 | $1.21 | $1.21 | $1.13 | $1.15 | 304 233 |
| Jul 10, 2026 | $1.21 | $1.21 | $1.15 | $1.18 | 453 610 |
| Jul 09, 2026 | $1.21 | $1.23 | $1.16 | $1.19 | 422 007 |
| Jul 08, 2026 | $1.30 | $1.37 | $1.18 | $1.18 | 660 494 |
| Jul 07, 2026 | $1.24 | $1.31 | $1.22 | $1.31 | 386 264 |
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 FLNA stock historical prices to predict future price movements?
Trend Analysis: Examine the FLNA 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 FLNA 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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