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 |
Dec 05, 2017 | $83.55 | $83.75 | $81.90 | $81.98 | 1 388 121 |
Dec 04, 2017 | $82.64 | $83.99 | $82.44 | $83.37 | 1 620 906 |
Dec 01, 2017 | $81.91 | $82.35 | $81.15 | $82.30 | 801 603 |
Nov 30, 2017 | $81.41 | $82.04 | $81.08 | $81.84 | 716 338 |
Nov 29, 2017 | $80.20 | $81.56 | $79.93 | $81.37 | 904 551 |
Nov 28, 2017 | $79.67 | $80.67 | $79.42 | $80.50 | 1 528 340 |
Nov 27, 2017 | $80.32 | $80.58 | $79.27 | $79.73 | 1 662 448 |
Nov 24, 2017 | $80.74 | $80.94 | $80.22 | $80.37 | 156 001 |
Nov 22, 2017 | $79.97 | $81.04 | $79.97 | $80.81 | 1 069 497 |
Nov 21, 2017 | $80.38 | $80.55 | $79.81 | $80.10 | 1 517 057 |
Nov 20, 2017 | $80.44 | $80.88 | $80.14 | $80.30 | 1 274 416 |
Nov 17, 2017 | $79.80 | $81.21 | $79.80 | $80.62 | 1 377 277 |
Nov 16, 2017 | $78.68 | $80.02 | $78.27 | $79.81 | 1 001 659 |
Nov 15, 2017 | $77.85 | $79.36 | $77.51 | $79.11 | 724 721 |
Nov 14, 2017 | $78.60 | $78.76 | $77.75 | $78.07 | 661 965 |
Nov 13, 2017 | $78.88 | $78.99 | $78.06 | $78.88 | 1 021 790 |
Nov 10, 2017 | $78.50 | $79.28 | $78.26 | $79.18 | 1 105 848 |
Nov 09, 2017 | $78.70 | $79.12 | $77.76 | $78.33 | 1 946 688 |
Nov 08, 2017 | $80.29 | $80.40 | $78.57 | $78.85 | 1 853 857 |
Nov 07, 2017 | $80.06 | $81.25 | $80.06 | $80.39 | 1 464 417 |
Nov 06, 2017 | $79.21 | $80.51 | $79.21 | $80.13 | 2 043 043 |
Nov 03, 2017 | $80.61 | $81.03 | $78.89 | $79.61 | 1 805 695 |
Nov 02, 2017 | $83.40 | $83.49 | $80.49 | $80.97 | 3 256 503 |
Nov 01, 2017 | $83.45 | $83.83 | $83.08 | $83.52 | 1 308 432 |
Oct 31, 2017 | $83.41 | $83.52 | $82.26 | $83.28 | 719 305 |
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.