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 |
Dec 18, 2017 | $16.24 | $16.24 | $16.23 | $16.23 | 227 422 |
Dec 15, 2017 | $16.22 | $16.24 | $16.22 | $16.24 | 2 053 094 |
Dec 14, 2017 | $16.22 | $16.23 | $16.22 | $16.22 | 760 094 |
Dec 13, 2017 | $16.23 | $16.24 | $16.22 | $16.22 | 1 100 498 |
Dec 12, 2017 | $16.22 | $16.24 | $16.22 | $16.22 | 850 300 |
Dec 11, 2017 | $16.22 | $16.24 | $16.22 | $16.22 | 652 653 |
Dec 08, 2017 | $16.22 | $16.24 | $16.22 | $16.24 | 932 250 |
Dec 07, 2017 | $16.24 | $16.24 | $16.22 | $16.22 | 1 061 089 |
Dec 06, 2017 | $16.23 | $16.24 | $16.22 | $16.24 | 862 561 |
Dec 05, 2017 | $16.21 | $16.24 | $16.21 | $16.24 | 2 101 235 |
Dec 04, 2017 | $16.10 | $16.11 | $16.03 | $16.04 | 777 481 |
Dec 01, 2017 | $16.07 | $16.11 | $16.05 | $16.08 | 714 518 |
Nov 30, 2017 | $16.10 | $16.11 | $16.06 | $16.07 | 1 130 561 |
Nov 29, 2017 | $16.10 | $16.13 | $16.09 | $16.09 | 621 501 |
Nov 28, 2017 | $16.11 | $16.15 | $16.10 | $16.10 | 1 048 142 |
Nov 27, 2017 | $16.16 | $16.18 | $16.10 | $16.10 | 1 281 151 |
Nov 24, 2017 | $16.17 | $16.19 | $16.16 | $16.17 | 541 667 |
Nov 22, 2017 | $16.15 | $16.19 | $16.14 | $16.19 | 1 020 500 |
Nov 21, 2017 | $16.16 | $16.16 | $16.08 | $16.16 | 1 114 730 |
Nov 20, 2017 | $16.17 | $16.17 | $16.09 | $16.16 | 1 367 768 |
Nov 17, 2017 | $16.09 | $16.17 | $16.09 | $16.17 | 1 042 884 |
Nov 16, 2017 | $16.08 | $16.12 | $16.07 | $16.12 | 679 424 |
Nov 15, 2017 | $16.07 | $16.10 | $16.05 | $16.10 | 599 511 |
Nov 14, 2017 | $16.10 | $16.11 | $16.04 | $16.09 | 724 529 |
Nov 13, 2017 | $16.12 | $16.12 | $16.09 | $16.11 | 813 854 |
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.