NYSE:SNI
Delisted
Scripps Networks Interactive Inc Fund Price (Quote)
$90.04
+0 (+0%)
At Close: Apr 30, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $90.04 | $90.04 | Monday, 30th Apr 2018 SNI stock ended at $90.04. During the day the stock fluctuated 0% from a day low at $90.04 to a day high of $90.04. |
90 days | $84.67 | $93.58 | |
52 weeks | $64.87 | $93.58 |
Date | Open | High | Low | Close | Volume |
Jun 10, 2016 | $64.29 | $65.15 | $63.50 | $63.96 | 612 771 |
Jun 09, 2016 | $64.33 | $65.16 | $64.03 | $64.86 | 806 483 |
Jun 08, 2016 | $64.87 | $65.20 | $64.21 | $64.88 | 807 803 |
Jun 07, 2016 | $65.50 | $65.50 | $64.78 | $64.84 | 450 760 |
Jun 06, 2016 | $65.81 | $66.14 | $65.14 | $65.57 | 647 013 |
Jun 03, 2016 | $65.00 | $65.53 | $64.03 | $65.43 | 899 789 |
Jun 02, 2016 | $64.11 | $65.41 | $64.10 | $65.37 | 1 208 167 |
Jun 01, 2016 | $63.89 | $65.02 | $63.80 | $64.52 | 1 265 547 |
May 31, 2016 | $64.16 | $64.58 | $63.60 | $64.34 | 889 138 |
May 27, 2016 | $62.85 | $63.80 | $62.30 | $63.62 | 510 800 |
May 26, 2016 | $62.85 | $63.36 | $62.37 | $62.67 | 978 479 |
May 25, 2016 | $62.97 | $63.75 | $62.79 | $62.88 | 874 396 |
May 24, 2016 | $62.45 | $63.31 | $62.02 | $63.04 | 763 801 |
May 23, 2016 | $61.94 | $62.67 | $61.72 | $61.79 | 1 021 083 |
May 20, 2016 | $62.18 | $62.74 | $61.61 | $62.09 | 1 530 725 |
May 19, 2016 | $61.98 | $62.74 | $61.30 | $61.96 | 1 304 219 |
May 18, 2016 | $62.95 | $62.95 | $61.19 | $62.28 | 3 106 286 |
May 17, 2016 | $63.96 | $65.64 | $63.96 | $64.49 | 666 875 |
May 16, 2016 | $64.69 | $64.77 | $64.06 | $64.26 | 721 622 |
May 13, 2016 | $64.85 | $65.43 | $64.38 | $64.67 | 933 345 |
May 12, 2016 | $66.48 | $66.48 | $64.41 | $64.81 | 924 496 |
May 11, 2016 | $66.01 | $66.41 | $65.86 | $66.25 | 1 202 273 |
May 10, 2016 | $65.51 | $66.50 | $65.15 | $66.45 | 1 129 295 |
May 09, 2016 | $65.53 | $65.96 | $64.66 | $65.08 | 1 594 500 |
May 06, 2016 | $63.16 | $65.83 | $62.74 | $65.73 | 1 398 600 |
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 SNI stock historical prices to predict future price movements?
Trend Analysis: Examine the SNI 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 SNI 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.