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 |
Apr 13, 2016 | $13.97 | $14.44 | $13.95 | $14.33 | 332 262 |
Apr 12, 2016 | $13.91 | $14.02 | $13.72 | $13.87 | 152 985 |
Apr 11, 2016 | $14.07 | $14.07 | $13.70 | $13.94 | 254 257 |
Apr 08, 2016 | $13.87 | $14.02 | $13.72 | $13.97 | 258 667 |
Apr 07, 2016 | $14.25 | $14.25 | $13.55 | $13.67 | 442 253 |
Apr 06, 2016 | $14.70 | $14.79 | $14.34 | $14.46 | 158 464 |
Apr 05, 2016 | $14.78 | $14.79 | $14.54 | $14.58 | 193 883 |
Apr 04, 2016 | $14.79 | $15.00 | $14.64 | $14.93 | 253 355 |
Apr 01, 2016 | $14.59 | $14.77 | $14.22 | $14.75 | 115 229 |
Mar 31, 2016 | $14.75 | $14.88 | $14.57 | $14.75 | 158 872 |
Mar 30, 2016 | $14.68 | $14.83 | $14.45 | $14.75 | 140 481 |
Mar 29, 2016 | $13.89 | $14.63 | $13.68 | $14.61 | 522 500 |
Mar 28, 2016 | $13.72 | $13.85 | $13.50 | $13.69 | 210 600 |
Mar 24, 2016 | $13.26 | $13.77 | $13.16 | $13.62 | 197 600 |
Mar 23, 2016 | $13.84 | $13.84 | $13.31 | $13.32 | 161 000 |
Mar 22, 2016 | $13.86 | $14.01 | $13.78 | $13.90 | 279 700 |
Mar 21, 2016 | $14.20 | $14.20 | $13.71 | $13.97 | 181 000 |
Mar 18, 2016 | $14.14 | $14.38 | $13.95 | $14.22 | 427 200 |
Mar 17, 2016 | $13.55 | $14.49 | $13.38 | $14.05 | 522 700 |
Mar 16, 2016 | $13.07 | $13.72 | $13.07 | $13.55 | 228 200 |
Mar 15, 2016 | $13.60 | $13.60 | $13.22 | $13.26 | 135 300 |
Mar 14, 2016 | $13.48 | $13.99 | $13.48 | $13.64 | 210 900 |
Mar 11, 2016 | $13.51 | $13.70 | $13.42 | $13.53 | 328 900 |
Mar 10, 2016 | $13.68 | $13.75 | $13.07 | $13.33 | 230 900 |
Mar 09, 2016 | $13.30 | $13.66 | $13.11 | $13.65 | 218 400 |
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.