NIO rStock Price History
(RNIO)Date | Open price* | Upper Price | Lower Price | Close price** | Vol |
|---|---|---|---|---|---|
2026-09-15 | -- | $3.72 | $3.61 | -- | -- |
Where can you buy RNIO
About RNIO historical price data
The RNIO 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 RNIO 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 RNIO price history data, its value surged to an all-time high of over $3.72 in 1970-01-22. On the other hand, the lowest point in the RNIO price trajectory (often referred to as the “RNIO all-time low”) occurred in 1970-01-22. Anyone who purchased RNIO during that period would currently enjoy an impressive profit of $0.1600.
By design, the total supply of RNIO will reach 72,883.59. As of now, the circulating supply of RNIO is approximately 72,883.59.
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.
RNIO historical data examples
Here are some uses of RNIO historical data in RNIO trading
Traders use historical data to analyze trends and movements in the RNIO 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 RNIO market. By using LBank’s RNIO historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for RNIO. 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 RNIO. They can also determine the volatility of RNIO, 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 RNIO historical cryptocurrency OHLC (open, high, low, close) data to train their own RNIO trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study RNIO’s historical data, gain valuable insights, and potentially improve their trading strategies.
How to analyze RNIO candlestick chart data
RNIO 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 RNIO historical data, when the RNIO 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 RNIO 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.