0.251 лв
+0.0001 (+0.0438%)
At Close: Jul 31, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 0.251 лв | 0.254 лв | Friday, 31st Jul 2026 CNYBGN stock ended at 0.251 лв. This is 0.0438% more than the trading day before Thursday, 30th Jul 2026. During the day the stock fluctuated 0.88% from a day low at 0.251 лв to a day high of 0.253 лв. |
| 90 days | 0.243 лв | 0.254 лв | |
| 52 weeks | 0.233 лв | 0.254 лв |
Historical CNY/BGN prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 31, 2026 | 0.251 лв | 0.253 лв | 0.251 лв | 0.251 лв | 1 561 559 |
| Jul 30, 2026 | 0.251 лв | 0.251 лв | 0.251 лв | 0.251 лв | 21 870 |
| Jul 29, 2026 | 0.252 лв | 0.252 лв | 0.252 лв | 0.252 лв | 18 711 |
| Jul 28, 2026 | 0.254 лв | 0.254 лв | 0.253 лв | 0.253 лв | 17 627 |
| Jul 27, 2026 | 0.254 лв | 0.254 лв | 0.253 лв | 0.254 лв | 10 064 |
| Jul 24, 2026 | 0.254 лв | 0.254 лв | 0.253 лв | 0.254 лв | 1 101 670 |
| Jul 23, 2026 | 0.254 лв | 0.254 лв | 0.253 лв | 0.253 лв | 9 438 |
| Jul 22, 2026 | 0.253 лв | 0.253 лв | 0.253 лв | 0.253 лв | 10 599 |
| Jul 21, 2026 | 0.253 лв | 0.254 лв | 0.253 лв | 0.253 лв | 8 924 |
| Jul 20, 2026 | 0.253 лв | 0.253 лв | 0.253 лв | 0.253 лв | 17 177 |
| Jul 17, 2026 | 0.252 лв | 0.253 лв | 0.252 лв | 0.252 лв | 1 109 258 |
| Jul 16, 2026 | 0.252 лв | 0.252 лв | 0.252 лв | 0.252 лв | 7 455 |
| Jul 15, 2026 | 0.253 лв | 0.253 лв | 0.252 лв | 0.252 лв | 11 716 |
| Jul 14, 2026 | 0.253 лв | 0.253 лв | 0.253 лв | 0.253 лв | 12 920 |
| Jul 13, 2026 | 0.253 лв | 0.253 лв | 0.253 лв | 0.253 лв | 11 777 |
| Jul 10, 2026 | 0.252 лв | 0.253 лв | 0.251 лв | 0.253 лв | 1 200 943 |
| Jul 09, 2026 | 0.251 лв | 0.252 лв | 0.251 лв | 0.252 лв | 6 794 |
| Jul 08, 2026 | 0.252 лв | 0.252 лв | 0.251 лв | 0.251 лв | 8 137 |
| Jul 07, 2026 | 0.251 лв | 0.252 лв | 0.251 лв | 0.252 лв | 9 387 |
| Jul 06, 2026 | 0.251 лв | 0.251 лв | 0.251 лв | 0.251 лв | 7 756 |
| Jul 02, 2026 | 0.253 лв | 0.253 лв | 0.251 лв | 0.252 лв | 11 577 |
| Jul 01, 2026 | 0.252 лв | 0.253 лв | 0.252 лв | 0.253 лв | 5 962 |
| Jun 30, 2026 | 0.252 лв | 0.253 лв | 0.252 лв | 0.252 лв | 7 416 |
| Jun 29, 2026 | 0.252 лв | 0.253 лв | 0.252 лв | 0.252 лв | 8 864 |
| Jun 26, 2026 | 0.253 лв | 0.253 лв | 0.251 лв | 0.253 лв | 1 272 647 |
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 CNYBGN stock historical prices to predict future price movements?
Trend Analysis: Examine the CNYBGN 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 CNYBGN 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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