NASDAQ:CNAT
Delisted
Conatus Pharmaceuticals Inc. Stock Price (Quote)
$0.255
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.255 | $0.255 | Friday, 27th May 2022 CNAT stock ended at $0.255. During the day the stock fluctuated 0% from a day low at $0.255 to a day high of $0.255. |
90 days | $0.238 | $0.275 | |
52 weeks | $0.203 | $1.23 |
Date | Open | High | Low | Close | Volume |
Oct 30, 2018 | $3.94 | $4.18 | $3.88 | $4.06 | 480 797 |
Oct 29, 2018 | $4.30 | $4.30 | $3.86 | $3.97 | 424 196 |
Oct 26, 2018 | $4.25 | $4.32 | $4.00 | $4.22 | 390 839 |
Oct 25, 2018 | $4.30 | $4.47 | $4.29 | $4.33 | 393 506 |
Oct 24, 2018 | $4.67 | $4.67 | $4.17 | $4.30 | 565 970 |
Oct 23, 2018 | $4.39 | $4.77 | $4.32 | $4.64 | 376 161 |
Oct 22, 2018 | $4.78 | $4.82 | $4.40 | $4.50 | 454 463 |
Oct 19, 2018 | $4.79 | $4.87 | $4.73 | $4.77 | 383 909 |
Oct 18, 2018 | $5.13 | $5.25 | $4.63 | $4.66 | 801 672 |
Oct 17, 2018 | $5.17 | $5.20 | $4.92 | $5.16 | 335 853 |
Oct 16, 2018 | $4.89 | $5.25 | $4.85 | $5.20 | 541 521 |
Oct 15, 2018 | $4.92 | $5.06 | $4.77 | $4.86 | 352 689 |
Oct 12, 2018 | $4.96 | $5.11 | $4.84 | $4.97 | 366 936 |
Oct 11, 2018 | $4.79 | $4.99 | $4.77 | $4.80 | 270 073 |
Oct 10, 2018 | $4.99 | $5.05 | $4.75 | $4.82 | 363 460 |
Oct 09, 2018 | $4.65 | $5.18 | $4.65 | $4.96 | 521 477 |
Oct 08, 2018 | $4.95 | $5.01 | $4.63 | $4.82 | 539 350 |
Oct 05, 2018 | $5.04 | $5.15 | $4.86 | $5.01 | 371 900 |
Oct 04, 2018 | $5.38 | $5.38 | $4.98 | $5.02 | 736 337 |
Oct 03, 2018 | $5.40 | $5.55 | $5.26 | $5.39 | 618 145 |
Oct 02, 2018 | $5.40 | $5.55 | $5.27 | $5.33 | 351 070 |
Oct 01, 2018 | $5.86 | $5.95 | $5.33 | $5.40 | 659 803 |
Sep 28, 2018 | $5.49 | $5.88 | $5.06 | $5.80 | 1 432 266 |
Sep 27, 2018 | $5.75 | $6.00 | $5.60 | $5.67 | 879 388 |
Sep 26, 2018 | $5.89 | $6.10 | $5.70 | $5.75 | 818 882 |
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 CNAT stock historical prices to predict future price movements?
Trend Analysis: Examine the CNAT 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 CNAT 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.