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 |
Jan 31, 2024 | $5.69 | $5.86 | $5.43 | $5.62 | 74 546 233 |
Jan 30, 2024 | $6.01 | $6.04 | $5.79 | $5.79 | 63 659 555 |
Jan 29, 2024 | $6.08 | $6.16 | $5.95 | $6.14 | 38 686 346 |
Jan 26, 2024 | $6.00 | $6.15 | $5.97 | $6.14 | 39 045 500 |
Jan 25, 2024 | $5.91 | $6.08 | $5.83 | $6.04 | 58 693 658 |
Jan 24, 2024 | $6.50 | $6.59 | $6.01 | $6.07 | 73 422 857 |
Jan 23, 2024 | $6.40 | $6.88 | $6.17 | $6.21 | 116 098 228 |
Jan 22, 2024 | $5.83 | $6.17 | $5.80 | $5.98 | 72 520 282 |
Jan 19, 2024 | $6.16 | $6.16 | $5.86 | $6.06 | 81 693 784 |
Jan 18, 2024 | $6.50 | $6.54 | $6.10 | $6.28 | 70 901 868 |
Jan 17, 2024 | $6.21 | $6.42 | $6.12 | $6.30 | 62 033 829 |
Jan 16, 2024 | $7.04 | $7.05 | $6.45 | $6.55 | 120 405 615 |
Jan 12, 2024 | $7.26 | $7.53 | $7.16 | $7.17 | 48 345 124 |
Jan 11, 2024 | $7.57 | $7.67 | $7.33 | $7.40 | 52 031 250 |
Jan 10, 2024 | $7.53 | $7.55 | $7.31 | $7.41 | 54 000 477 |
Jan 09, 2024 | $7.80 | $7.84 | $7.52 | $7.56 | 67 638 304 |
Jan 08, 2024 | $7.86 | $8.05 | $7.73 | $7.93 | 48 808 166 |
Jan 05, 2024 | $8.16 | $8.25 | $8.03 | $8.06 | 39 492 774 |
Jan 04, 2024 | $8.33 | $8.47 | $8.25 | $8.27 | 37 583 019 |
Jan 03, 2024 | $8.12 | $8.56 | $8.10 | $8.50 | 57 420 635 |
Jan 02, 2024 | $8.93 | $8.94 | $8.38 | $8.42 | 80 928 476 |
Dec 29, 2023 | $9.43 | $9.53 | $8.95 | $9.07 | 73 911 859 |
Dec 28, 2023 | $9.16 | $9.57 | $9.12 | $9.43 | 91 028 605 |
Dec 27, 2023 | $9.26 | $9.33 | $8.89 | $9.10 | 98 578 857 |
Dec 26, 2023 | $8.77 | $9.43 | $8.63 | $9.33 | 128 259 490 |
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.