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Regency Centers Tokenized Stock (Reality) Price History
(RREG)Date | Open price* | Upper Price | Lower Price | Close price** | Vol |
|---|---|---|---|---|---|
2026-11-02 | -- | $73.70 | $73.56 | -- | -- |
2026-11-01 | -- | $73.70 | $73.56 | -- | -- |
2026-10-31 | -- | $73.70 | $73.56 | -- | -- |
2026-10-30 | -- | $73.70 | $73.56 | -- | -- |
2026-10-29 | -- | $73.70 | $73.56 | -- | -- |
2026-10-28 | -- | $74.78 | $73.33 | -- | -- |
Where can you buy RREG
About RREG historical price data
The RREG price history tracker allows cryptocurrency investors to conveniently monitor the performance of their investments. You can easily view the opening, highest, and closing prices of RREG over time, as well as the trading volume. In addition, you can instantly check the daily percentage change to easily identify days with higher volatility.
According to our RREG price history data, its value surged to an all-time high of over $74.78 in 2026-10-28. On the other hand, the lowest point in the RREG price trajectory (often referred to as the “RREG all-time low”) occurred in 2026-10-28. Anyone who purchased RREG during that period would currently enjoy an impressive profit of $1.50.
By design, the total supply of RREG will reach 0.68. As of now, the circulating supply of RREG is approximately 0.68.
All prices shown on this page come from trusted data provider LBank. When reviewing your investments, it is recommended not to rely on a single data source, as values may differ between providers.
RREG historical data examples
Here are some uses of RREG historical data in RREG trading
Traders use historical data to analyze trends and movements in the RREG market. They use charts and other visual tools to identify trends and determine when to enter or exit the market. One way to gain an advantage in this dynamic market is to visualize and analyze historical market data. To achieve this, historical data can be stored in GridDB and analyzed using Python scripts with various libraries, such as Matplotlib, Pandas, Numpy, and Scipy for data visualization.
Historical data can also be used to predict future market trends. By analyzing past market behavior, traders can identify recurring patterns and make informed predictions about the direction of the RREG market. By using LBank’s RREG historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for RREG. These data can then be used to define and train price prediction models, helping users make informed trading decisions.
By obtaining historical data, traders can assess the risks of investing in RREG. They can also determine the volatility of RREG, allowing them to make sound investment decisions.
Historical data is also useful in portfolio management. By tracking investments over the long term, traders can identify underperforming assets and adjust portfolios to maximize returns.
In addition, users can choose to download RREG historical cryptocurrency OHLC (open, high, low, close) data to train their own RREG trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study RREG’s historical data, gain valuable insights, and potentially improve their trading strategies.
How to analyze RREG candlestick chart data
RREG candlestick charts display time on the horizontal axis and price data on the vertical axis, similar to line and bar charts. A candlestick may have two different colors: green or red. A green candle indicates a price increase during the considered period, while a red candle indicates a price decrease.
The simple structure of candlestick charts can provide users with a wealth of information. For example, technical analysis may use candlestick chart data to identify potential trend reversals.
According to RREG historical data, when the RREG market shows bearish or bullish trends, conservative investors may choose to use capital-protected products such as Flexible and Locked to capture the trend at that time.
When RREG is in a sideways trend, using Open Futures and selecting a bullish product to take advantage of a slight upward trend, or choosing a bearish product to profit from a mild downward trend, may lead to better performance.