$0.550
-0.0705 (-11.37%)
At Close: Jun 22, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.471 | $0.91 | Monday, 22nd Jun 2026 DXF stock ended at $0.550. This is 11.37% less than the trading day before Thursday, 18th Jun 2026. During the day the stock fluctuated 18.27% from a day low at $0.510 to a day high of $0.603. |
| 90 days | $0.385 | $1.98 | |
| 52 weeks | $0.385 | $6.71 |
Historical Dunxin Financial Holdings Ltd prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 22, 2026 | $0.603 | $0.603 | $0.510 | $0.550 | 276 161 |
| Jun 18, 2026 | $0.625 | $0.643 | $0.592 | $0.620 | 495 388 |
| Jun 17, 2026 | $0.590 | $0.590 | $0.565 | $0.578 | 142 973 |
| Jun 16, 2026 | $0.540 | $0.599 | $0.540 | $0.594 | 269 514 |
| Jun 15, 2026 | $0.563 | $0.595 | $0.540 | $0.546 | 192 310 |
| Jun 12, 2026 | $0.568 | $0.600 | $0.502 | $0.567 | 408 183 |
| Jun 11, 2026 | $0.622 | $0.639 | $0.567 | $0.570 | 318 419 |
| Jun 10, 2026 | $0.574 | $0.706 | $0.544 | $0.700 | 1 081 713 |
| Jun 09, 2026 | $0.550 | $0.643 | $0.514 | $0.628 | 862 999 |
| Jun 08, 2026 | $0.517 | $0.638 | $0.509 | $0.575 | 2 402 806 |
| Jun 05, 2026 | $0.573 | $0.617 | $0.498 | $0.558 | 3 226 022 |
| Jun 04, 2026 | $0.529 | $0.91 | $0.515 | $0.83 | 14 597 200 |
| Jun 03, 2026 | $0.500 | $0.614 | $0.471 | $0.580 | 2 208 600 |
| Jun 02, 2026 | $0.530 | $0.530 | $0.480 | $0.497 | 459 600 |
| Jun 01, 2026 | $0.525 | $0.585 | $0.520 | $0.531 | 9 717 700 |
| May 29, 2026 | $0.781 | $0.781 | $0.665 | $0.685 | 274 995 |
| May 28, 2026 | $0.648 | $0.90 | $0.636 | $0.784 | 915 326 |
| May 27, 2026 | $0.625 | $0.682 | $0.605 | $0.671 | 146 515 |
| May 26, 2026 | $0.700 | $0.742 | $0.616 | $0.648 | 438 574 |
| May 22, 2026 | $1.05 | $1.15 | $0.610 | $0.753 | 670 231 |
| May 21, 2026 | $1.10 | $1.24 | $1.03 | $1.09 | 275 903 |
| May 20, 2026 | $1.00 | $1.22 | $0.93 | $1.13 | 702 638 |
| May 19, 2026 | $0.90 | $1.08 | $0.771 | $1.04 | 981 898 |
| May 18, 2026 | $1.08 | $1.21 | $1.02 | $1.14 | 1 024 940 |
| May 15, 2026 | $1.34 | $1.45 | $1.27 | $1.39 | 2 433 516 |
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 DXF stock historical prices to predict future price movements?
Trend Analysis: Examine the DXF 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 DXF 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.
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