NYSE:SSI
Delisted
Stage Stores Inc Stock Price (Quote)
$0.375
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.375 | $0.375 | Friday, 4th Sep 2020 SSI stock ended at $0.375. During the day the stock fluctuated 0% from a day low at $0.375 to a day high of $0.375. |
90 days | $0.375 | $0.375 | |
52 weeks | $0.270 | $9.50 |
Date | Open | High | Low | Close | Volume |
Feb 03, 2020 | $1.15 | $1.38 | $1.12 | $1.31 | 2 401 052 |
Jan 31, 2020 | $1.17 | $1.21 | $1.08 | $1.12 | 2 385 536 |
Jan 30, 2020 | $1.43 | $1.59 | $1.15 | $1.17 | 8 667 462 |
Jan 29, 2020 | $3.22 | $3.40 | $0.86 | $1.25 | 13 169 973 |
Jan 28, 2020 | $3.44 | $3.55 | $3.24 | $3.29 | 1 516 029 |
Jan 27, 2020 | $3.41 | $3.70 | $3.20 | $3.39 | 1 285 782 |
Jan 24, 2020 | $3.84 | $4.10 | $3.52 | $3.64 | 3 032 589 |
Jan 23, 2020 | $3.41 | $3.90 | $3.22 | $3.70 | 1 876 643 |
Jan 22, 2020 | $3.36 | $3.64 | $3.34 | $3.36 | 2 050 888 |
Jan 21, 2020 | $3.41 | $3.68 | $3.21 | $3.38 | 2 109 702 |
Jan 17, 2020 | $2.92 | $3.74 | $2.92 | $3.55 | 4 556 926 |
Jan 16, 2020 | $2.91 | $3.04 | $2.81 | $2.91 | 2 619 196 |
Jan 15, 2020 | $3.12 | $3.15 | $2.77 | $2.85 | 2 831 386 |
Jan 14, 2020 | $3.15 | $3.46 | $2.97 | $3.13 | 4 086 178 |
Jan 13, 2020 | $3.26 | $3.86 | $2.87 | $3.15 | 13 089 408 |
Jan 10, 2020 | $8.15 | $8.37 | $7.27 | $7.32 | 2 593 022 |
Jan 09, 2020 | $8.50 | $8.60 | $7.91 | $8.13 | 1 497 853 |
Jan 08, 2020 | $9.11 | $9.25 | $8.63 | $8.63 | 1 164 566 |
Jan 07, 2020 | $8.62 | $9.50 | $8.54 | $9.29 | 1 270 528 |
Jan 06, 2020 | $8.08 | $8.73 | $8.05 | $8.63 | 529 586 |
Jan 03, 2020 | $8.00 | $8.43 | $7.69 | $8.33 | 1 167 849 |
Jan 02, 2020 | $8.02 | $8.50 | $7.95 | $8.17 | 1 136 290 |
Dec 31, 2019 | $8.20 | $8.49 | $7.92 | $8.12 | 544 729 |
Dec 30, 2019 | $8.02 | $8.78 | $7.59 | $8.25 | 1 288 829 |
Dec 27, 2019 | $8.56 | $9.00 | $8.15 | $8.22 | 948 126 |
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 SSI stock historical prices to predict future price movements?
Trend Analysis: Examine the SSI 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 SSI 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.