NYSE:FINV
FinVolution Group Stock Price (Quote)
$5.05
-0.110 (-2.13%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.64 | $5.25 | Thursday, 16th May 2024 FINV stock ended at $5.05. This is 2.13% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 9.26% from a day low at $4.75 to a day high of $5.19. |
90 days | $4.45 | $5.47 | |
52 weeks | $3.78 | $6.05 |
Date | Open | High | Low | Close | Volume |
Jan 30, 2024 | $4.75 | $4.79 | $4.73 | $4.76 | 355 164 |
Jan 29, 2024 | $4.79 | $4.79 | $4.68 | $4.78 | 469 521 |
Jan 26, 2024 | $4.79 | $4.81 | $4.74 | $4.76 | 520 083 |
Jan 25, 2024 | $4.77 | $4.79 | $4.68 | $4.78 | 594 938 |
Jan 24, 2024 | $4.76 | $4.80 | $4.72 | $4.78 | 758 377 |
Jan 23, 2024 | $4.65 | $4.76 | $4.65 | $4.69 | 773 631 |
Jan 22, 2024 | $4.61 | $4.63 | $4.53 | $4.58 | 784 410 |
Jan 19, 2024 | $4.66 | $4.66 | $4.53 | $4.63 | 592 483 |
Jan 18, 2024 | $4.65 | $4.68 | $4.57 | $4.65 | 550 797 |
Jan 17, 2024 | $4.49 | $4.68 | $4.49 | $4.61 | 874 794 |
Jan 16, 2024 | $4.74 | $4.74 | $4.45 | $4.54 | 1 567 680 |
Jan 12, 2024 | $4.87 | $4.88 | $4.78 | $4.80 | 1 103 469 |
Jan 11, 2024 | $4.75 | $4.90 | $4.71 | $4.86 | 1 178 377 |
Jan 10, 2024 | $4.75 | $4.90 | $4.70 | $4.74 | 751 262 |
Jan 09, 2024 | $4.77 | $4.77 | $4.69 | $4.74 | 870 794 |
Jan 08, 2024 | $4.85 | $4.85 | $4.75 | $4.81 | 729 230 |
Jan 05, 2024 | $4.86 | $4.89 | $4.82 | $4.87 | 350 542 |
Jan 04, 2024 | $4.87 | $4.93 | $4.84 | $4.87 | 403 568 |
Jan 03, 2024 | $4.84 | $4.93 | $4.81 | $4.90 | 539 094 |
Jan 02, 2024 | $4.88 | $4.89 | $4.72 | $4.82 | 656 117 |
Dec 29, 2023 | $4.94 | $4.96 | $4.88 | $4.90 | 684 878 |
Dec 28, 2023 | $4.78 | $4.96 | $4.78 | $4.94 | 854 205 |
Dec 27, 2023 | $4.79 | $4.79 | $4.73 | $4.78 | 337 908 |
Dec 26, 2023 | $4.84 | $4.85 | $4.74 | $4.77 | 246 876 |
Dec 22, 2023 | $4.83 | $4.87 | $4.80 | $4.83 | 484 117 |
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 FINV stock historical prices to predict future price movements?
Trend Analysis: Examine the FINV 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 FINV 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.