Retards Outperforming Investors(ROI)Today
$0.000013
Retards Outperforming Investors Price History
(ROI)Time period: 2025-07-21 ~ 2026-07-22
2025-07-21
2026-07-22
USD
Date | Open price* | Upper Price | Lower Price | Close price** | Vol |
|---|---|---|---|---|---|
2026-07-21 | $0.000070 | $0.000091 | $0.000049 | $0.000050 | $57,839.21 |
2026-07-20 | -- | $0.000109 | $0.000062 | -- | -- |
* Earliest data in range (UTC time)
** Latest data in range (UTC time)
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About ROI historical price data
The ROI 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 ROI 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 ROI price history data, its value surged to an all-time high of over $0.000109 in 2026-07-20. On the other hand, the lowest point in the ROI price trajectory (often referred to as the “ROI all-time low”) occurred in 2026-07-22. Anyone who purchased ROI during that period would currently enjoy an impressive profit of $0.000103.
By design, the total supply of ROI will reach 999M. As of now, the circulating supply of ROI is approximately 999M.
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.
Our historical Bitcoin price dataset includes 1-minute, 1-day, 1-week, and 1-month data (open/high/low/close/volume). These datasets have been rigorously tested to ensure consistency, integrity, and accuracy. The design is specifically for trading simulations and backtesting, available for free download and updated in real time.
ROI historical data examples
Here are some uses of ROI historical data in ROI trading
Technical analysis:
Traders use historical data to analyze trends and movements in the ROI 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.
Predicting ROI price based on historical data:
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 ROI market. By using LBank’s ROI historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for ROI. These data can then be used to define and train price prediction models, helping users make informed trading decisions.
Risk management:
By obtaining historical data, traders can assess the risks of investing in ROI. They can also determine the volatility of ROI, allowing them to make sound investment decisions.
Portfolio management:
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.
Training ROI trading bots:
In addition, users can choose to download ROI historical cryptocurrency OHLC (open, high, low, close) data to train their own ROI trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study ROI’s historical data, gain valuable insights, and potentially improve their trading strategies.
How to analyze ROI candlestick chart data
ROI 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 ROI historical data, when the ROI 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 ROI 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.
FAQ
On this day in history
2026-07-22
Retards Outperforming Investors(ROI)
