NASDAQ:BGCP
Delisted
BGC Partners Stock Price (Quote)
$4.43
+0 (+0%)
At Close: Sep 29, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.43 | $4.43 | Friday, 29th Sep 2023 BGCP stock ended at $4.43. During the day the stock fluctuated 0% from a day low at $4.43 to a day high of $4.43. |
90 days | $4.43 | $4.43 | |
52 weeks | $3.14 | $5.51 |
Date | Open | High | Low | Close | Volume |
Jul 29, 2019 | $5.50 | $5.57 | $5.41 | $5.50 | 1 455 210 |
Jul 26, 2019 | $5.32 | $5.48 | $5.23 | $5.48 | 2 311 353 |
Jul 25, 2019 | $5.60 | $5.81 | $5.27 | $5.32 | 4 054 273 |
Jul 24, 2019 | $5.58 | $5.82 | $5.58 | $5.80 | 1 559 822 |
Jul 23, 2019 | $5.60 | $5.65 | $5.56 | $5.61 | 1 500 468 |
Jul 22, 2019 | $5.71 | $5.75 | $5.55 | $5.57 | 1 623 702 |
Jul 19, 2019 | $5.65 | $5.77 | $5.65 | $5.72 | 2 028 340 |
Jul 18, 2019 | $5.63 | $5.69 | $5.61 | $5.65 | 1 109 061 |
Jul 17, 2019 | $5.61 | $5.68 | $5.56 | $5.62 | 1 985 183 |
Jul 16, 2019 | $5.59 | $5.67 | $5.55 | $5.63 | 1 327 830 |
Jul 15, 2019 | $5.48 | $5.59 | $5.44 | $5.57 | 1 877 029 |
Jul 12, 2019 | $5.50 | $5.55 | $5.47 | $5.47 | 1 400 763 |
Jul 11, 2019 | $5.46 | $5.48 | $5.39 | $5.46 | 873 725 |
Jul 10, 2019 | $5.43 | $5.56 | $5.42 | $5.46 | 1 494 399 |
Jul 09, 2019 | $5.39 | $5.44 | $5.36 | $5.40 | 1 775 862 |
Jul 08, 2019 | $5.42 | $5.47 | $5.39 | $5.44 | 1 272 400 |
Jul 05, 2019 | $5.39 | $5.50 | $5.36 | $5.47 | 867 680 |
Jul 03, 2019 | $5.37 | $5.44 | $5.28 | $5.40 | 1 009 416 |
Jul 02, 2019 | $5.20 | $5.43 | $5.19 | $5.37 | 2 558 959 |
Jul 01, 2019 | $5.27 | $5.32 | $5.16 | $5.22 | 1 739 415 |
Jun 28, 2019 | $5.21 | $5.32 | $5.15 | $5.23 | 2 939 021 |
Jun 27, 2019 | $5.03 | $5.18 | $5.03 | $5.15 | 1 188 080 |
Jun 26, 2019 | $5.03 | $5.10 | $4.96 | $5.02 | 1 867 983 |
Jun 25, 2019 | $5.12 | $5.12 | $4.95 | $5.02 | 2 004 279 |
Jun 24, 2019 | $5.15 | $5.20 | $5.12 | $5.13 | 1 428 762 |
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 BGCP stock historical prices to predict future price movements?
Trend Analysis: Examine the BGCP 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 BGCP 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.