NYSE:SNOW
Snowflake Stock Price (Quote)
$161.86
-3.18 (-1.93%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $144.34 | $165.88 | Friday, 17th May 2024 SNOW stock ended at $161.86. This is 1.93% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.04% from a day low at $161.13 to a day high of $164.42. |
90 days | $144.34 | $235.66 | |
52 weeks | $138.40 | $237.72 |
Date | Open | High | Low | Close | Volume |
Apr 20, 2021 | $229.00 | $231.25 | $220.50 | $225.22 | 2 862 513 |
Apr 19, 2021 | $230.00 | $233.90 | $225.46 | $229.07 | 1 917 065 |
Apr 16, 2021 | $235.73 | $235.96 | $229.00 | $232.74 | 1 617 457 |
Apr 15, 2021 | $232.99 | $236.80 | $232.10 | $236.38 | 2 234 057 |
Apr 14, 2021 | $240.00 | $243.49 | $228.40 | $229.14 | 3 419 504 |
Apr 13, 2021 | $234.50 | $239.78 | $232.33 | $238.08 | 3 019 887 |
Apr 12, 2021 | $225.00 | $234.16 | $223.79 | $233.39 | 2 306 593 |
Apr 09, 2021 | $233.58 | $234.66 | $223.73 | $226.89 | 5 294 421 |
Apr 08, 2021 | $237.20 | $242.87 | $233.01 | $233.75 | 4 655 708 |
Apr 07, 2021 | $234.51 | $240.00 | $232.38 | $233.97 | 2 054 193 |
Apr 06, 2021 | $232.00 | $239.41 | $229.53 | $236.01 | 2 422 869 |
Apr 05, 2021 | $237.80 | $238.50 | $229.50 | $232.32 | 2 228 437 |
Apr 01, 2021 | $234.95 | $237.59 | $232.02 | $236.79 | 2 830 491 |
Mar 31, 2021 | $222.72 | $234.06 | $222.45 | $229.28 | 3 652 821 |
Mar 30, 2021 | $221.35 | $224.77 | $216.26 | $222.07 | 3 481 338 |
Mar 29, 2021 | $230.55 | $236.22 | $221.04 | $223.49 | 4 354 438 |
Mar 26, 2021 | $220.00 | $235.00 | $219.00 | $235.00 | 8 923 382 |
Mar 25, 2021 | $206.39 | $218.71 | $205.07 | $216.95 | 4 398 403 |
Mar 24, 2021 | $221.00 | $223.62 | $208.60 | $208.60 | 4 561 701 |
Mar 23, 2021 | $224.00 | $229.25 | $218.17 | $220.00 | 3 536 834 |
Mar 22, 2021 | $220.82 | $224.07 | $220.27 | $220.75 | 2 714 101 |
Mar 19, 2021 | $216.50 | $223.29 | $215.26 | $220.82 | 5 648 369 |
Mar 18, 2021 | $227.63 | $227.71 | $216.10 | $216.70 | 3 940 398 |
Mar 17, 2021 | $223.00 | $233.33 | $223.00 | $230.30 | 3 908 981 |
Mar 16, 2021 | $239.00 | $242.50 | $229.01 | $232.14 | 5 529 138 |
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 SNOW stock historical prices to predict future price movements?
Trend Analysis: Examine the SNOW 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 SNOW 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.