NYSE:SSNI
Delisted
Silver Spring Networks Inc Fund Price (Quote)
$16.26
+0 (+0%)
At Close: Feb 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $16.26 | $16.26 | Friday, 16th Feb 2018 SSNI stock ended at $16.26. During the day the stock fluctuated 0% from a day low at $16.26 to a day high of $16.26. |
90 days | $16.03 | $16.26 | |
52 weeks | $9.68 | $16.26 |
Date | Open | High | Low | Close | Volume |
Oct 06, 2017 | $16.20 | $16.22 | $16.14 | $16.15 | 735 769 |
Oct 05, 2017 | $16.24 | $16.24 | $16.19 | $16.22 | 1 587 733 |
Oct 04, 2017 | $16.14 | $16.24 | $16.14 | $16.24 | 2 016 728 |
Oct 03, 2017 | $16.15 | $16.17 | $16.14 | $16.15 | 1 252 918 |
Oct 02, 2017 | $16.17 | $16.17 | $16.12 | $16.13 | 2 211 681 |
Sep 29, 2017 | $16.15 | $16.17 | $16.14 | $16.17 | 1 772 701 |
Sep 28, 2017 | $16.13 | $16.16 | $16.10 | $16.16 | 3 203 079 |
Sep 27, 2017 | $16.16 | $16.17 | $16.10 | $16.13 | 2 860 881 |
Sep 26, 2017 | $16.16 | $16.18 | $16.15 | $16.16 | 1 118 619 |
Sep 25, 2017 | $16.16 | $16.18 | $16.15 | $16.16 | 1 630 594 |
Sep 22, 2017 | $16.15 | $16.18 | $16.15 | $16.18 | 1 443 652 |
Sep 21, 2017 | $16.13 | $16.19 | $16.13 | $16.15 | 1 852 341 |
Sep 20, 2017 | $16.13 | $16.16 | $16.13 | $16.14 | 2 088 031 |
Sep 19, 2017 | $16.11 | $16.16 | $16.10 | $16.13 | 4 027 044 |
Sep 18, 2017 | $16.17 | $16.18 | $16.07 | $16.10 | 22 704 305 |
Sep 15, 2017 | $12.87 | $13.05 | $12.79 | $13.00 | 554 255 |
Sep 14, 2017 | $12.93 | $13.01 | $12.84 | $12.91 | 179 718 |
Sep 13, 2017 | $12.93 | $13.02 | $12.84 | $12.94 | 262 224 |
Sep 12, 2017 | $13.22 | $13.23 | $12.91 | $12.99 | 333 159 |
Sep 11, 2017 | $12.65 | $13.22 | $12.65 | $13.17 | 748 238 |
Sep 08, 2017 | $12.82 | $12.82 | $12.60 | $12.65 | 217 847 |
Sep 07, 2017 | $12.88 | $12.95 | $12.71 | $12.74 | 181 430 |
Sep 06, 2017 | $12.71 | $12.88 | $12.61 | $12.83 | 406 357 |
Sep 05, 2017 | $12.57 | $12.80 | $12.47 | $12.55 | 331 129 |
Sep 01, 2017 | $12.69 | $12.69 | $12.52 | $12.64 | 202 093 |
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 SSNI stock historical prices to predict future price movements?
Trend Analysis: Examine the SSNI 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 SSNI 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.