0.253 лв
+0.0004 (+0.151%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 0.247 лв | 0.253 лв | Tuesday, 23rd Jun 2026 CNYBGN stock ended at 0.253 лв. This is 0.151% more than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 0.504% from a day low at 0.252 лв to a day high of 0.253 лв. |
| 90 days | 0.242 лв | 0.253 лв | |
| 52 weeks | 0.231 лв | 0.253 лв |
Historical CNY/BGN prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | 0.252 лв | 0.253 лв | 0.252 лв | 0.253 лв | 11 887 |
| Jun 22, 2026 | 0.252 лв | 0.253 лв | 0.251 лв | 0.252 лв | 11 884 |
| Jun 18, 2026 | 0.251 лв | 0.251 лв | 0.251 лв | 0.251 лв | 0 |
| Jun 17, 2026 | 0.249 лв | 0.252 лв | 0.249 лв | 0.251 лв | 20 738 |
| Jun 16, 2026 | 0.250 лв | 0.250 лв | 0.249 лв | 0.249 лв | 7 778 |
| Jun 15, 2026 | 0.249 лв | 0.250 лв | 0.248 лв | 0.250 лв | 11 486 |
| Jun 12, 2026 | 0.249 лв | 0.250 лв | 0.249 лв | 0.250 лв | 1 501 906 |
| Jun 11, 2026 | 0.249 лв | 0.249 лв | 0.249 лв | 0.249 лв | 23 053 |
| Jun 10, 2026 | 0.250 лв | 0.250 лв | 0.250 лв | 0.250 лв | 26 488 |
| Jun 09, 2026 | 0.250 лв | 0.250 лв | 0.250 лв | 0.250 лв | 14 693 |
| Jun 08, 2026 | 0.251 лв | 0.251 лв | 0.250 лв | 0.250 лв | 10 760 |
| Jun 05, 2026 | 0.249 лв | 0.251 лв | 0.248 лв | 0.251 лв | 1 292 144 |
| Jun 04, 2026 | 0.249 лв | 0.249 лв | 0.248 лв | 0.249 лв | 7 105 |
| Jun 03, 2026 | 0.249 лв | 0.249 лв | 0.249 лв | 0.249 лв | 18 520 |
| Jun 02, 2026 | 0.248 лв | 0.249 лв | 0.248 лв | 0.249 лв | 10 793 |
| Jun 01, 2026 | 0.248 лв | 0.248 лв | 0.248 лв | 0.248 лв | 8 600 |
| May 29, 2026 | 0.248 лв | 0.248 лв | 0.247 лв | 0.248 лв | 1 230 758 |
| May 28, 2026 | 0.248 лв | 0.248 лв | 0.248 лв | 0.248 лв | 8 297 |
| May 27, 2026 | 0.248 лв | 0.248 лв | 0.248 лв | 0.248 лв | 10 884 |
| May 26, 2026 | 0.248 лв | 0.248 лв | 0.247 лв | 0.248 лв | 8 158 |
| May 22, 2026 | 0.247 лв | 0.248 лв | 0.247 лв | 0.248 лв | 1 121 068 |
| May 21, 2026 | 0.247 лв | 0.248 лв | 0.247 лв | 0.247 лв | 8 735 |
| May 20, 2026 | 0.247 лв | 0.248 лв | 0.247 лв | 0.247 лв | 10 779 |
| May 19, 2026 | 0.247 лв | 0.247 лв | 0.247 лв | 0.247 лв | 10 515 |
| May 18, 2026 | 0.246 лв | 0.246 лв | 0.246 лв | 0.246 лв | 10 963 |
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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