NYSE:NIO
NIO Stock Price (Quote)
$5.28
+0.0200 (+0.380%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.61 | $6.05 | Friday, 17th May 2024 NIO stock ended at $5.28. This is 0.380% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.94% from a day low at $5.04 to a day high of $5.39. |
90 days | $3.61 | $6.30 | |
52 weeks | $3.61 | $16.18 |
Date | Open | High | Low | Close | Volume |
Oct 12, 2023 | $8.88 | $8.97 | $8.38 | $8.44 | 36 506 033 |
Oct 11, 2023 | $8.95 | $9.19 | $8.90 | $8.97 | 33 059 247 |
Oct 10, 2023 | $8.35 | $8.88 | $8.35 | $8.83 | 42 008 613 |
Oct 09, 2023 | $8.51 | $8.54 | $8.11 | $8.34 | 39 328 306 |
Oct 06, 2023 | $8.49 | $8.75 | $8.46 | $8.72 | 23 125 290 |
Oct 05, 2023 | $8.67 | $8.71 | $8.51 | $8.66 | 21 027 044 |
Oct 04, 2023 | $8.51 | $8.85 | $8.48 | $8.83 | 27 840 446 |
Oct 03, 2023 | $8.55 | $8.76 | $8.54 | $8.61 | 26 851 230 |
Oct 02, 2023 | $8.90 | $9.00 | $8.70 | $8.79 | 37 123 984 |
Sep 29, 2023 | $9.11 | $9.22 | $8.87 | $9.04 | 39 276 477 |
Sep 28, 2023 | $8.37 | $8.99 | $8.35 | $8.91 | 53 094 860 |
Sep 27, 2023 | $8.38 | $8.51 | $8.30 | $8.46 | 23 643 791 |
Sep 26, 2023 | $8.15 | $8.58 | $7.93 | $8.41 | 42 204 230 |
Sep 25, 2023 | $8.07 | $8.45 | $7.93 | $8.35 | 56 016 614 |
Sep 22, 2023 | $8.74 | $8.80 | $8.45 | $8.53 | 35 673 586 |
Sep 21, 2023 | $8.45 | $8.62 | $8.35 | $8.45 | 49 169 604 |
Sep 20, 2023 | $8.76 | $9.06 | $8.67 | $8.82 | 122 517 777 |
Sep 19, 2023 | $9.54 | $9.60 | $8.41 | $8.55 | 213 810 778 |
Sep 18, 2023 | $10.37 | $10.47 | $10.22 | $10.31 | 18 074 054 |
Sep 15, 2023 | $10.53 | $10.72 | $10.29 | $10.43 | 40 001 193 |
Sep 14, 2023 | $10.15 | $10.38 | $10.14 | $10.38 | 25 979 872 |
Sep 13, 2023 | $10.20 | $10.47 | $10.06 | $10.07 | 36 690 366 |
Sep 12, 2023 | $10.23 | $10.88 | $10.21 | $10.57 | 37 848 522 |
Sep 11, 2023 | $10.39 | $10.43 | $10.02 | $10.33 | 30 528 567 |
Sep 08, 2023 | $10.06 | $10.15 | $9.92 | $10.04 | 25 471 623 |
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 NIO stock historical prices to predict future price movements?
Trend Analysis: Examine the NIO 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 NIO 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.