CRYPTO:CAKEUSD
PancakeSwap Cryptocurrency Price (Quote)
$2.50
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.38 | $3.07 | Thursday, 16th May 2024 CAKEUSD stock ended at $2.50. During the day the stock fluctuated 0% from a day low at $2.50 to a day high of $2.50. |
90 days | $2.38 | $5.21 | |
52 weeks | $1.05 | $5.21 |
Date | Open | High | Low | Close | Volume |
Oct 29, 2023 | $1.23 | $1.25 | $1.22 | $1.24 | 11 275 890 |
Oct 28, 2023 | $1.21 | $1.27 | $1.19 | $1.22 | 13 703 211 |
Oct 27, 2023 | $1.21 | $1.26 | $1.19 | $1.22 | 23 955 148 |
Oct 26, 2023 | $1.19 | $1.21 | $1.18 | $1.19 | 21 411 566 |
Oct 25, 2023 | $1.19 | $1.21 | $1.19 | $1.19 | 18 480 693 |
Oct 24, 2023 | $1.12 | $1.20 | $1.12 | $1.18 | 33 580 250 |
Oct 23, 2023 | $1.12 | $1.19 | $1.12 | $1.18 | 24 471 284 |
Oct 22, 2023 | $1.06 | $1.14 | $1.06 | $1.12 | 17 649 714 |
Oct 21, 2023 | $1.06 | $1.14 | $1.06 | $1.12 | 21 705 903 |
Oct 20, 2023 | $1.07 | $1.07 | $1.05 | $1.05 | 12 929 230 |
Oct 19, 2023 | $1.07 | $1.07 | $1.05 | $1.05 | 10 219 497 |
Oct 18, 2023 | $1.15 | $1.15 | $1.10 | $1.10 | 13 925 127 |
Oct 17, 2023 | $1.15 | $1.15 | $1.10 | $1.10 | 11 997 064 |
Oct 16, 2023 | $1.11 | $1.14 | $1.11 | $1.14 | 16 972 738 |
Oct 15, 2023 | $1.11 | $1.14 | $1.11 | $1.13 | 15 769 767 |
Oct 14, 2023 | $1.09 | $1.10 | $1.08 | $1.09 | 23 641 837 |
Oct 13, 2023 | $1.09 | $1.10 | $1.08 | $1.09 | 12 438 839 |
Oct 12, 2023 | $1.15 | $1.16 | $1.10 | $1.12 | 12 843 486 |
Oct 11, 2023 | $1.15 | $1.15 | $1.10 | $1.11 | 18 930 692 |
Oct 10, 2023 | $1.18 | $1.19 | $1.14 | $1.15 | 14 726 561 |
Oct 09, 2023 | $1.18 | $1.18 | $1.14 | $1.15 | 17 168 029 |
Oct 08, 2023 | $1.18 | $1.19 | $1.16 | $1.18 | 12 942 003 |
Oct 07, 2023 | $1.19 | $1.19 | $1.18 | $1.18 | 6 736 244 |
Oct 06, 2023 | $1.17 | $1.20 | $1.17 | $1.19 | 11 631 817 |
Oct 05, 2023 | $1.19 | $1.19 | $1.17 | $1.17 | 12 975 596 |
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 CAKEUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the CAKEUSD 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 CAKEUSD 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.