NASDAQ:SPLS
Delisted
Staples Fund Price (Quote)
$10.25
+0 (+0%)
At Close: Jan 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $10.25 | $10.25 | Tuesday, 16th Jan 2018 SPLS stock ended at $10.25. During the day the stock fluctuated 0% from a day low at $10.25 to a day high of $10.25. |
90 days | $10.25 | $10.25 | |
52 weeks | $8.30 | $10.26 |
Date | Open | High | Low | Close | Volume |
Jan 19, 2017 | $9.26 | $9.30 | $9.00 | $9.05 | 3 920 036 |
Jan 18, 2017 | $9.33 | $9.40 | $9.22 | $9.29 | 5 532 854 |
Jan 17, 2017 | $9.18 | $9.42 | $9.15 | $9.33 | 8 074 617 |
Jan 13, 2017 | $9.27 | $9.38 | $9.12 | $9.17 | 3 188 170 |
Jan 12, 2017 | $9.24 | $9.31 | $9.16 | $9.25 | 4 052 763 |
Jan 11, 2017 | $9.32 | $9.33 | $9.08 | $9.25 | 4 916 133 |
Jan 10, 2017 | $9.13 | $9.38 | $9.13 | $9.34 | 5 076 057 |
Jan 09, 2017 | $9.11 | $9.20 | $9.06 | $9.14 | 4 417 983 |
Jan 06, 2017 | $9.04 | $9.19 | $8.98 | $9.15 | 6 332 404 |
Jan 05, 2017 | $9.09 | $9.17 | $8.92 | $9.03 | 7 403 222 |
Jan 04, 2017 | $8.86 | $9.28 | $8.86 | $9.15 | 6 774 538 |
Jan 03, 2017 | $9.09 | $9.18 | $8.82 | $8.89 | 9 879 251 |
Dec 30, 2016 | $9.19 | $9.22 | $8.97 | $9.05 | 5 046 051 |
Dec 29, 2016 | $9.13 | $9.24 | $9.01 | $9.18 | 8 169 902 |
Dec 28, 2016 | $9.31 | $9.39 | $9.09 | $9.10 | 3 081 268 |
Dec 27, 2016 | $9.23 | $9.41 | $9.18 | $9.26 | 4 965 060 |
Dec 23, 2016 | $9.27 | $9.41 | $9.16 | $9.22 | 4 295 182 |
Dec 22, 2016 | $9.70 | $9.74 | $9.17 | $9.26 | 9 662 046 |
Dec 21, 2016 | $9.84 | $9.88 | $9.69 | $9.70 | 4 520 516 |
Dec 20, 2016 | $9.88 | $10.06 | $9.80 | $9.84 | 6 095 285 |
Dec 19, 2016 | $9.85 | $9.93 | $9.69 | $9.77 | 4 749 544 |
Dec 16, 2016 | $9.87 | $10.05 | $9.85 | $9.97 | 22 347 754 |
Dec 15, 2016 | $9.93 | $10.04 | $9.86 | $9.87 | 7 943 093 |
Dec 14, 2016 | $9.90 | $10.04 | $9.84 | $9.93 | 8 350 542 |
Dec 13, 2016 | $9.93 | $9.98 | $9.81 | $9.89 | 6 610 632 |
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 SPLS stock historical prices to predict future price movements?
Trend Analysis: Examine the SPLS 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 SPLS 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.