0.237 лв
+0.0008 (+0.355%)
At Close: Nov 17, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 0.236 лв | 0.239 лв | Monday, 17th Nov 2025 CNYBGN stock ended at 0.237 лв. This is 0.355% more than the trading day before Friday, 14th Nov 2025. During the day the stock fluctuated 0% from a day low at 0.237 лв to a day high of 0.237 лв. |
| 90 days | 0.233 лв | 0.239 лв | |
| 52 weeks | 0.231 лв | 0.266 лв |
Historical CNY/BGN prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 17, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Nov 14, 2025 | 0.236 лв | 0.236 лв | 0.236 лв | 0.236 лв | 2 |
| Nov 13, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Nov 12, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Nov 11, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Nov 10, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Nov 07, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Nov 06, 2025 | 0.238 лв | 0.238 лв | 0.238 лв | 0.238 лв | 2 |
| Nov 05, 2025 | 0.239 лв | 0.239 лв | 0.239 лв | 0.239 лв | 2 |
| Nov 04, 2025 | 0.239 лв | 0.239 лв | 0.239 лв | 0.239 лв | 2 |
| Nov 03, 2025 | 0.238 лв | 0.238 лв | 0.238 лв | 0.238 лв | 2 |
| Oct 31, 2025 | 0.238 лв | 0.238 лв | 0.238 лв | 0.238 лв | 2 |
| Oct 30, 2025 | 0.238 лв | 0.238 лв | 0.238 лв | 0.238 лв | 2 |
| Oct 29, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Oct 28, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Oct 27, 2025 | 0.236 лв | 0.236 лв | 0.236 лв | 0.236 лв | 2 |
| Oct 24, 2025 | 0.236 лв | 0.236 лв | 0.236 лв | 0.236 лв | 2 |
| Oct 23, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Oct 22, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Oct 21, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
| Oct 20, 2025 | 0.236 лв | 0.236 лв | 0.236 лв | 0.236 лв | 2 |
| Oct 17, 2025 | 0.235 лв | 0.235 лв | 0.235 лв | 0.235 лв | 2 |
| Oct 16, 2025 | 0.236 лв | 0.236 лв | 0.236 лв | 0.236 лв | 2 |
| Oct 15, 2025 | 0.236 лв | 0.236 лв | 0.236 лв | 0.236 лв | 2 |
| Oct 14, 2025 | 0.237 лв | 0.237 лв | 0.237 лв | 0.237 лв | 2 |
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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