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Vconomics - Decentralized Digital Economy

Vconomics - Decentralized Digital Economy price history

Time period: 2023-12-29 ~ 2024-12-29
DateOpen*HighLowClose**Volume
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* Earliest data in range (UTC time)
** Latest data in range (UTC time)

Download Vconomics - Decentralized Digital Economy price historical data

Vconomics - Decentralized Digital Economy candlestick data

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The latest Vconomics - Decentralized Digital Economy candlestick data (also known as K-Line) from Bitget. Multiple currencies supported.
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Vconomics - Decentralized Digital Economy Historical Data

Download free historical data for Vconomics - Decentralized Digital Economy at daily intervals to facilitate your investment decisions.
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About Vconomics - Decentralized Digital Economy Price History Data

Vconomics - Decentralized Digital Economy price history tracking allows crypto investors to easily monitor the performance of their investment. You can conveniently track the opening value, high, and close for Vconomics - Decentralized Digital Economy over time, as well as the trade volume. Additionally, you can instantly view the daily change as a percentage, making it effortless to identify days with significant fluctuations.

According to our Vconomics - Decentralized Digital Economy price history data, its value soared to an unprecedented peak in 2024-12-29, surpassing -- USD.On the other hand, the lowest point in Vconomics - Decentralized Digital Economy's price trajectory, commonly referred to as the "Vconomics - Decentralized Digital Economy all-time low", occurred on 2024-12-29.If one had purchased Vconomics - Decentralized Digital Economy during that time, they would currently enjoy a remarkable profit of 0%.

By design, 11B Vconomics - Decentralized Digital Economy will be created. As of now, the circulating supply of Vconomics - Decentralized Digital Economy is approximately 0.

All the prices listed on this page are obtained from Bitget, a reliable source. It is crucial to rely on a single source to check your investments, as values may vary among different sellers.

Our historical Vconomics - Decentralized Digital Economy price dataset includes data at intervals of 1 minute, 1 day, 1 week, and 1 month (open/high/low/close/volume). These datasets have undergone rigorous testing to ensure consistency, completeness, and accuracy. They are specifically designed for trade simulation and backtesting purposes, readily available for free download, and updated in real-time.

Vconomics - Decentralized Digital Economy Historical Data Use Cases

Here are some of the ways Vconomics - Decentralized Digital Economy historical data is used in Vconomics - Decentralized Digital Economy trading:

Technical Analysis:Traders use historical data to analyze trends and patterns in the Vconomics - Decentralized Digital Economy market. They use charts and other visual aids to look for patterns and determine when to enter or exit the market. One way to gain an edge in this dynamic market is by visualizing and analyzing 's historical market data.This can be achieved by storing the historical data in GridDB and utilizing a Python script that incorporates various packages such as Matplotlib for data visualization, Pandas, Numpy, and Scipy.
Predicting Vconomics - Decentralized Digital Economy price from 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 Vconomics - Decentralized Digital Economy market.By leveraging Bitget's Vconomics - Decentralized Digital Economy historical dataset, traders can access minute-by-minute data on the open, high, low, and close prices of Vconomics - Decentralized Digital Economy. This data can then be utilized to define and train models for price prediction, enabling users to make informed trading decisions.
Risk Management:By accessing historical data, traders can assess the risk involved in investing in Vconomics - Decentralized Digital Economy. They can also determine how volatile an asset Vconomics - Decentralized Digital Economy is and make informed decisions about their investments.
Portfolio Management:Historical data is also useful for portfolio management. By keeping track of their investments over time, traders can identify underperforming assets and adjust their portfolios to maximize returns.
Train Vconomics - Decentralized Digital Economy trading bots:Additionally, users have the option to download this Vconomics - Decentralized Digital Economy historical cryptocurrency OHCL (open, high, low, close) market data to train their own Vconomics - Decentralized Digital Economy trading bots to outperform the market.

With these tools and resources, traders can delve into Vconomics - Decentralized Digital Economy's historical data, gain valuable insights, and potentially enhance their trading strategies.

How to read Vconomics - Decentralized Digital Economy candlestick data

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Vconomics - Decentralized Digital Economy candlestick charts show time across the horizontal axis and price data on the vertical axis, just like line and bar graphs. Candlesticks may have two different colors: green or red. Green candles show that the price went up over the period under consideration, while red candles show that the price declined.

The simple structure of candlesticks can offer users a lot of information. Technical analysts may use candlestick patterns to, for example, identify potential trend reversals.

Based on Vconomics - Decentralized Digital Economy historical data, when the Vconomics - Decentralized Digital Economy market exhibits a bearish or bullish trend, conservative investors may opt to use principal-guaranteed products like Smart Trend, Snowball, or Shark Fin to take advantage of the prevailing trend.

Conversely, more aggressive investors may pursue higher returns by investing in non-principal-guaranteed products such as Range Sniper or employing Dual Investment products based on their market direction judgments.

In the case of a sideways market for Vconomics - Decentralized Digital Economy, utilizing Range Sniper and selecting bullish products to exploit a slight upward trend or bearish products to capitalize on a modest bearish trend may potentially result in improved performance.

To enhance your understanding of profiting from a bullish market trend, you are advised to delve into resources that cover the Bull market support band band and Range Sniper.

Additionally, reading articles on Profiting from bear markets and the The ultimate bear market strategy can provide you with a deeper grasp of these concepts.

FAQ

What is crypto historical data?

Historical Data refers to past information related to cryptocurrencies such as Vconomics - Decentralized Digital Economy, Ethereum, and others. This data encompasses a wide range of metrics, including price, trading volume, market capitalization, and more.

The significance of crypto historical data lies in its multiple applications within crypto trading. Primarily, it empowers traders and investors to make well-informed choices by gaining a comprehensive understanding of the past performance exhibited by the crypto market.

How to get crypto historical data

There are multiple methods to obtain historical crypto data, but some options have drawbacks. For instance, searching for the ticker of the desired crypto on platforms like Google Finance or Yahoo Finance can be challenging to import into Excel. Additionally, using web scraping techniques may lead to issues such as potential bans and unreliable data retrieval.

To ensure accuracy and reliability, the most recommended approach is to directly download the data from reputable cryptocurrency exchanges like Bitget, Binance, or CoinMarketCap. This allows for seamless integration into your Excel spreadsheet, providing a trustworthy source of historical crypto data.

Benefits of downloading crypto historical data on Bitget

In late 2023, we recognized the need for a centralized platform for cryptocurrency data research. With a long-standing reputation for reliable data, we have been providing FREE access to historical cryptocurrency data for quite some time.As a result, we have become the go-to platform for users seeking comprehensive and accurate information on cryptocurrency markets.

By downloading the historical data available on Bitget, you not only gain access to a wealth of information but also benefit from our expertise in tracking and analyzing cryptocurrency market risks. This data can serve as a valuable starting point for your own personal research or analysis. Feel free to utilize the historical data we offer to enhance your understanding of the cryptocurrency landscape.

What is the format of historical data?

You can download crypto historical data sheets instantly with just one click. The data is provided in an Excel file. If you need to convert the data into a different format (e.g., CSV -> JSON), we recommend ConvertCSV. Screenshot:

historicalTable

What is the update frequency of historical data?

Our crypto prices historical data is updated on a daily basis, similar to how markets are typically updated once a trading day concludes.

In which timezone is historical data displayed?

All our historical data is provided in the GMT+0 time zone.

Why do I get a "frequency too high" error when I click the download button?

To prevent abuse, data for each coin can only be downloaded once per day. Please try again on the following day.

Statement
This content is being provided to you for informational purposes only, does not constitute an offer, or solicitation of an offer nor a recommendation by Bitget to buy, sell, or hold any security, financial product, or instrument referenced in the content, and does not constitute investment advice, financial advice, trading advice, or any other sort of advice. Data presented may reflect asset prices traded on the Bitget exchange as well as other cryptocurrency exchanges and market data platform. Bitget may charge fees for the processing of cryptocurrency transactions which may not be reflected in the conversion prices displayed. Bitget is not liable for any errors or delays in content, or for any actions taken in reliance on any content.