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Range Low Price High Price Comment
30 days $25.79 $25.79 Wednesday, 17th Aug 2022 BBX stock ended at $25.79. During the day the stock fluctuated 0% from a day low at $25.79 to a day high of $25.79.
90 days $25.79 $25.79
52 weeks $19.52 $27.44

Historical BBX Capital Corp prices

Date Open High Low Close Volume
Oct 06, 2016 $3.85 $3.89 $3.80 $3.80 96
Oct 05, 2016 $3.86 $3.87 $3.78 $3.85 1 630
Oct 04, 2016 $3.82 $3.85 $3.78 $3.85 1 615
Oct 03, 2016 $3.85 $3.85 $3.81 $3.82 2 324
Sep 30, 2016 $3.85 $3.87 $3.84 $3.85 9 908
Sep 29, 2016 $3.76 $3.95 $3.75 $3.85 22 750
Sep 28, 2016 $3.70 $3.77 $3.65 $3.75 13 161
Sep 27, 2016 $3.66 $3.69 $3.66 $3.68 21 224
Sep 26, 2016 $3.66 $3.69 $3.66 $3.69 4 723
Sep 23, 2016 $3.70 $3.70 $3.66 $3.66 5 379
Sep 22, 2016 $3.65 $3.70 $3.65 $3.70 7 117
Sep 21, 2016 $3.71 $3.72 $3.65 $3.65 5 914
Sep 20, 2016 $3.70 $3.70 $3.70 $3.70 3 534
Sep 19, 2016 $3.70 $3.71 $3.70 $3.70 10 425
Sep 16, 2016 $3.74 $3.75 $3.72 $3.72 13 474
Sep 15, 2016 $3.75 $3.75 $3.70 $3.72 3 967
Sep 14, 2016 $3.67 $3.75 $3.67 $3.71 4 709
Sep 13, 2016 $3.66 $3.67 $3.66 $3.66 3 846
Sep 12, 2016 $3.69 $3.70 $3.65 $3.66 22 410
Sep 09, 2016 $3.68 $3.68 $3.68 $3.68 14 820
Sep 08, 2016 $3.65 $3.73 $3.65 $3.72 44 567
Sep 07, 2016 $3.62 $3.70 $3.62 $3.65 7 467
Sep 06, 2016 $3.68 $3.74 $3.61 $3.70 5 550
Sep 02, 2016 $3.70 $3.72 $3.70 $3.70 4 265
Sep 01, 2016 $3.69 $3.75 $3.67 $3.71 6 020

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.

How can I use BBX stock historical prices to predict future price movements?
Trend Analysis: Examine the BBX 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.

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.

Why do the BBX 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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