NYSE:FRGE
Forge Global Holdings, Inc. Stock Price (Quote)
$1.60
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.59 | $2.11 | Thursday, 30th May 2024 FRGE stock ended at $1.60. During the day the stock fluctuated 4.40% from a day low at $1.59 to a day high of $1.66. |
90 days | $1.59 | $3.56 | |
52 weeks | $1.35 | $4.02 |
Historical Forge Global Holdings, Inc. prices
Date | Open | High | Low | Close | Volume |
Oct 24, 2023 | $2.44 | $2.52 | $2.35 | $2.38 | 170 702 |
Oct 23, 2023 | $2.29 | $2.54 | $2.28 | $2.42 | 220 953 |
Oct 20, 2023 | $2.47 | $2.47 | $2.24 | $2.33 | 262 574 |
Oct 19, 2023 | $2.39 | $2.48 | $2.33 | $2.46 | 159 762 |
Oct 18, 2023 | $2.60 | $2.60 | $2.32 | $2.38 | 247 127 |
Oct 17, 2023 | $2.57 | $2.78 | $2.57 | $2.63 | 533 032 |
Oct 16, 2023 | $2.58 | $2.62 | $2.52 | $2.59 | 287 321 |
Oct 13, 2023 | $2.36 | $2.54 | $2.35 | $2.54 | 266 729 |
Oct 12, 2023 | $2.37 | $2.38 | $2.27 | $2.36 | 150 700 |
Oct 11, 2023 | $2.28 | $2.34 | $2.25 | $2.31 | 198 864 |
Oct 10, 2023 | $2.16 | $2.29 | $2.15 | $2.22 | 310 279 |
Oct 09, 2023 | $2.11 | $2.15 | $2.06 | $2.13 | 88 123 |
Oct 06, 2023 | $1.98 | $2.18 | $1.98 | $2.15 | 200 646 |
Oct 05, 2023 | $1.96 | $2.01 | $1.94 | $2.01 | 245 773 |
Oct 04, 2023 | $1.81 | $1.97 | $1.82 | $1.93 | 164 263 |
Oct 03, 2023 | $1.87 | $1.88 | $1.78 | $1.81 | 206 753 |
Oct 02, 2023 | $2.01 | $2.01 | $1.89 | $1.89 | 179 882 |
Sep 29, 2023 | $1.97 | $2.05 | $1.96 | $2.03 | 187 357 |
Sep 28, 2023 | $1.93 | $1.98 | $1.91 | $1.97 | 142 632 |
Sep 27, 2023 | $1.93 | $2.00 | $1.93 | $1.95 | 224 129 |
Sep 26, 2023 | $1.90 | $1.96 | $1.89 | $1.92 | 175 074 |
Sep 25, 2023 | $1.99 | $2.02 | $1.93 | $1.95 | 182 888 |
Sep 22, 2023 | $2.04 | $2.08 | $1.97 | $1.97 | 178 997 |
Sep 21, 2023 | $2.07 | $2.10 | $2.00 | $2.01 | 250 413 |
Sep 20, 2023 | $2.15 | $2.20 | $2.09 | $2.11 | 184 531 |
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 FRGE stock historical prices to predict future price movements?
Trend Analysis: Examine the FRGE 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 FRGE 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.