NASDAQ:PLIN
Delisted
China Xiangtai Food Co., Ltd. Stock Price (Quote)
$1.02
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.02 | $1.02 | Wednesday, 17th Aug 2022 PLIN stock ended at $1.02. During the day the stock fluctuated 0% from a day low at $1.02 to a day high of $1.02. |
90 days | $1.02 | $1.02 | |
52 weeks | $0.95 | $3.12 |
Historical China Xiangtai Food Co., Ltd. prices
Date | Open | High | Low | Close | Volume |
Jan 11, 2022 | $1.17 | $1.20 | $1.15 | $1.18 | 159 700 |
Jan 10, 2022 | $1.17 | $1.18 | $1.14 | $1.17 | 262 900 |
Jan 07, 2022 | $1.27 | $1.29 | $1.12 | $1.13 | 744 900 |
Jan 06, 2022 | $1.54 | $1.55 | $1.27 | $1.27 | 925 200 |
Jan 05, 2022 | $1.40 | $1.48 | $1.40 | $1.43 | 308 200 |
Jan 04, 2022 | $1.37 | $1.41 | $1.36 | $1.39 | 196 100 |
Jan 03, 2022 | $1.39 | $1.41 | $1.36 | $1.37 | 155 000 |
Dec 31, 2021 | $1.42 | $1.42 | $1.35 | $1.37 | 350 300 |
Dec 30, 2021 | $1.40 | $1.44 | $1.36 | $1.42 | 305 700 |
Dec 29, 2021 | $1.41 | $1.46 | $1.40 | $1.40 | 267 500 |
Dec 28, 2021 | $1.37 | $1.46 | $1.37 | $1.41 | 396 600 |
Dec 27, 2021 | $1.37 | $1.42 | $1.35 | $1.39 | 238 900 |
Dec 23, 2021 | $1.61 | $1.61 | $1.39 | $1.40 | 599 200 |
Dec 22, 2021 | $1.64 | $1.64 | $1.57 | $1.58 | 273 804 |
Dec 21, 2021 | $1.65 | $1.69 | $1.62 | $1.64 | 188 700 |
Dec 20, 2021 | $1.75 | $1.80 | $1.59 | $1.62 | 479 587 |
Dec 17, 2021 | $1.72 | $1.84 | $1.66 | $1.77 | 457 416 |
Dec 16, 2021 | $1.81 | $1.94 | $1.69 | $1.71 | 945 751 |
Dec 15, 2021 | $2.52 | $2.57 | $1.72 | $1.81 | 1 867 110 |
Dec 14, 2021 | $2.98 | $3.00 | $2.23 | $2.52 | 1 357 215 |
Dec 13, 2021 | $3.08 | $3.12 | $2.78 | $2.80 | 647 587 |
Dec 10, 2021 | $2.71 | $3.01 | $2.71 | $3.01 | 657 019 |
Dec 09, 2021 | $2.89 | $2.98 | $2.66 | $2.67 | 745 502 |
Dec 08, 2021 | $2.57 | $2.94 | $2.57 | $2.89 | 1 256 478 |
Dec 07, 2021 | $2.42 | $2.58 | $2.42 | $2.56 | 408 950 |
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 PLIN stock historical prices to predict future price movements?
Trend Analysis: Examine the PLIN 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 PLIN 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.