NASDAQ:SGYP
Delisted
Synergy Pharmaceuticals Stock Price (Quote)
$0.0064
+0 (+0%)
At Close: Sep 17, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0064 | $0.0064 | Tuesday, 17th Sep 2019 SGYP stock ended at $0.0064. During the day the stock fluctuated 0% from a day low at $0.0064 to a day high of $0.0064. |
90 days | $0.0064 | $0.0064 | |
52 weeks | $0.0050 | $1.77 |
Date | Open | High | Low | Close | Volume |
Oct 23, 2018 | $1.43 | $1.49 | $1.39 | $1.40 | 2 014 455 |
Oct 22, 2018 | $1.42 | $1.45 | $1.37 | $1.44 | 2 228 590 |
Oct 19, 2018 | $1.47 | $1.51 | $1.41 | $1.42 | 1 724 912 |
Oct 18, 2018 | $1.47 | $1.57 | $1.45 | $1.47 | 1 993 772 |
Oct 17, 2018 | $1.48 | $1.49 | $1.41 | $1.46 | 1 390 029 |
Oct 16, 2018 | $1.40 | $1.49 | $1.38 | $1.48 | 1 912 142 |
Oct 15, 2018 | $1.44 | $1.44 | $1.35 | $1.38 | 1 823 014 |
Oct 12, 2018 | $1.41 | $1.45 | $1.35 | $1.40 | 1 956 002 |
Oct 11, 2018 | $1.35 | $1.41 | $1.34 | $1.38 | 2 963 001 |
Oct 10, 2018 | $1.44 | $1.45 | $1.32 | $1.33 | 3 944 566 |
Oct 09, 2018 | $1.48 | $1.50 | $1.44 | $1.45 | 1 584 391 |
Oct 08, 2018 | $1.50 | $1.51 | $1.44 | $1.47 | 2 301 916 |
Oct 05, 2018 | $1.52 | $1.56 | $1.45 | $1.50 | 2 044 805 |
Oct 04, 2018 | $1.62 | $1.62 | $1.50 | $1.51 | 4 142 679 |
Oct 03, 2018 | $1.61 | $1.63 | $1.56 | $1.60 | 1 467 130 |
Oct 02, 2018 | $1.69 | $1.69 | $1.28 | $1.58 | 6 647 123 |
Oct 01, 2018 | $1.71 | $1.74 | $1.67 | $1.68 | 3 198 212 |
Sep 28, 2018 | $1.70 | $1.72 | $1.68 | $1.70 | 2 044 657 |
Sep 27, 2018 | $1.70 | $1.71 | $1.68 | $1.70 | 1 688 222 |
Sep 26, 2018 | $1.70 | $1.72 | $1.67 | $1.68 | 1 857 013 |
Sep 25, 2018 | $1.73 | $1.74 | $1.68 | $1.70 | 1 956 447 |
Sep 24, 2018 | $1.73 | $1.77 | $1.69 | $1.70 | 3 755 649 |
Sep 21, 2018 | $1.71 | $1.75 | $1.66 | $1.69 | 6 377 622 |
Sep 20, 2018 | $1.72 | $1.75 | $1.71 | $1.72 | 1 311 127 |
Sep 19, 2018 | $1.68 | $1.72 | $1.68 | $1.71 | 1 339 460 |
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 SGYP stock historical prices to predict future price movements?
Trend Analysis: Examine the SGYP 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 SGYP 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.