$9.53
+0.260 (+2.80%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $8.07 | $11.21 | Wednesday, 3rd Jun 2026 FDMT stock ended at $9.53. This is 2.80% more than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 7.64% from a day low at $8.97 to a day high of $9.66. |
| 90 days | $7.96 | $11.21 | |
| 52 weeks | $3.68 | $12.34 |
Historical 4D Molecular Therapeutics, Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | $9.28 | $9.66 | $8.97 | $9.53 | 909 163 |
| Jun 02, 2026 | $9.52 | $9.62 | $9.20 | $9.27 | 701 960 |
| Jun 01, 2026 | $9.72 | $10.08 | $9.17 | $9.71 | 1 075 089 |
| May 29, 2026 | $9.07 | $10.00 | $8.95 | $9.91 | 3 296 101 |
| May 28, 2026 | $8.85 | $9.06 | $8.81 | $8.97 | 272 166 |
| May 27, 2026 | $8.83 | $9.20 | $8.81 | $8.85 | 315 443 |
| May 26, 2026 | $8.72 | $8.92 | $8.62 | $8.71 | 315 455 |
| May 22, 2026 | $8.68 | $8.86 | $8.55 | $8.60 | 495 224 |
| May 21, 2026 | $8.32 | $8.83 | $8.17 | $8.69 | 555 182 |
| May 20, 2026 | $8.52 | $8.79 | $8.37 | $8.47 | 510 245 |
| May 19, 2026 | $8.19 | $8.64 | $8.07 | $8.41 | 871 452 |
| May 18, 2026 | $9.11 | $9.35 | $8.20 | $8.37 | 1 013 202 |
| May 15, 2026 | $9.57 | $9.67 | $9.15 | $9.15 | 573 331 |
| May 14, 2026 | $10.47 | $10.47 | $9.80 | $9.81 | 404 941 |
| May 13, 2026 | $10.34 | $10.55 | $10.22 | $10.45 | 351 101 |
| May 12, 2026 | $10.77 | $10.86 | $10.24 | $10.34 | 458 505 |
| May 11, 2026 | $10.51 | $11.21 | $10.20 | $10.79 | 999 177 |
| May 08, 2026 | $9.08 | $10.16 | $9.06 | $10.14 | 628 015 |
| May 07, 2026 | $10.39 | $10.39 | $9.80 | $9.93 | 734 633 |
| May 06, 2026 | $9.94 | $10.43 | $9.65 | $10.42 | 711 046 |
| May 05, 2026 | $9.68 | $9.86 | $9.49 | $9.71 | 518 539 |
| May 04, 2026 | $9.10 | $9.55 | $9.10 | $9.44 | 547 430 |
| May 01, 2026 | $8.88 | $9.29 | $8.84 | $9.09 | 689 028 |
| Apr 30, 2026 | $8.80 | $9.07 | $8.64 | $8.87 | 732 053 |
| Apr 29, 2026 | $9.32 | $9.51 | $8.72 | $8.81 | 747 283 |
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 FDMT stock historical prices to predict future price movements?
Trend Analysis: Examine the FDMT 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 FDMT 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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