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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

Historical Silver Spring Networks Inc prices

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.

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.

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.

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.
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About Silver Spring Networks Inc

Silver Spring Networks, Inc. operates as a networking platform and solutions provider for smart energy networks. Its networking platform provides customers to communicate with devices connected to the power grid. The company’s SilverLink Data platform enables its customers to use the data generated by devices on the network to provide insights for decision making. It offers various solutions include advanced metering solution, which provides uti... SSNI Profile

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