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HyperGPT

HyperGPT price history

Time period: 2023-12-30 ~ 2024-12-30
DateOpen*HighLowClose**Volume
2024-12-29
$0.03067
$0.03103
$0.02899
$0.02943
$2.48M
2024-12-28
$0.02725
$0.03074
$0.02718
$0.03067
$2.66M
2024-12-27
$0.02830
$0.02958
$0.02686
$0.02723
$2.83M
2024-12-26
$0.02999
$0.03027
$0.02798
$0.02830
$2.14M
2024-12-25
$0.03064
$0.03132
$0.02974
$0.02999
$1.91M
2024-12-24
$0.03431
$0.03452
$0.03010
$0.03064
$1.83M
2024-12-23
$0.03275
$0.03439
$0.03098
$0.03431
$1.70M
2024-12-22
$0.03205
$0.03286
$0.03050
$0.03276
$1.52M
2024-12-21
$0.03435
$0.03571
$0.03179
$0.03193
$1.53M
2024-12-20
$0.03193
$0.03448
$0.02622
$0.03431
$1.89M
2024-12-19
$0.03366
$0.03508
$0.02952
$0.03193
$1.81M
2024-12-18
$0.03471
$0.03493
$0.03295
$0.03366
$1.82M
2024-12-17
$0.03670
$0.03687
$0.03431
$0.03467
$1.57M
2024-12-16
$0.03919
$0.04155
$0.03606
$0.03670
$1.88M
2024-12-15
$0.03601
$0.04225
$0.03597
$0.03918
$1.84M
2024-12-14
$0.03890
$0.03961
$0.03489
$0.03602
$1.99M
2024-12-13
$0.04045
$0.04092
$0.03821
$0.03879
$2.05M
2024-12-12
$0.04127
$0.04216
$0.03982
$0.04045
$2.40M
2024-12-11
$0.03848
$0.04488
$0.03721
$0.04127
$2.46M
2024-12-10
$0.03899
$0.04269
$0.03715
$0.03853
$2.47M
2024-12-09
$0.04799
$0.04805
$0.03815
$0.03898
$2.59M
2024-12-08
$0.04753
$0.04889
$0.04550
$0.04785
$2.43M
2024-12-07
$0.04998
$0.05065
$0.04534
$0.04736
$2.34M
2024-12-06
$0.04927
$0.05042
$0.04716
$0.05006
$3.70M
2024-12-05
$0.05121
$0.05372
$0.04812
$0.04878
$11.83M
2024-12-04
$0.04880
$0.05356
$0.04769
$0.05121
$6.13M
2024-12-03
$0.04538
$0.05116
$0.04511
$0.04880
$4.96M
2024-12-02
$0.05072
$0.05122
$0.04284
$0.04538
$5.74M
2024-12-01
$0.05030
$0.05481
$0.04774
$0.05078
$3.76M
2024-11-30
$0.05507
$0.05670
$0.04780
$0.05030
$3.67M
* Earliest data in range (UTC time)
** Latest data in range (UTC time)

Download HyperGPT price historical data

HyperGPT candlestick data

1 minute-candlestick
The latest HyperGPT candlestick data (also known as K-Line) from Bitget. Multiple currencies supported.
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HyperGPT Historical Data

Download free historical data for HyperGPT at daily intervals to facilitate your investment decisions.
downloadDownload Data(.CSV)

About HyperGPT Price History Data

HyperGPT 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 HyperGPT 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 HyperGPT price history data, its value soared to an unprecedented peak in 2024-04-10, surpassing $0.1045 USD.On the other hand, the lowest point in HyperGPT's price trajectory, commonly referred to as the "HyperGPT all-time low", occurred on 2023-10-12.If one had purchased HyperGPT during that time, they would currently enjoy a remarkable profit of 784%.

By design, 997,742,373 HyperGPT will be created. As of now, the circulating supply of HyperGPT is approximately 652,238,100.

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 HyperGPT 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.

HyperGPT Historical Data Use Cases

Here are some of the ways HyperGPT historical data is used in HyperGPT trading:

Technical Analysis:Traders use historical data to analyze trends and patterns in the HyperGPT 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 HyperGPT 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 HyperGPT market.By leveraging Bitget's HyperGPT historical dataset, traders can access minute-by-minute data on the open, high, low, and close prices of HyperGPT. 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 HyperGPT. They can also determine how volatile an asset HyperGPT 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 HyperGPT trading bots:Additionally, users have the option to download this HyperGPT historical cryptocurrency OHCL (open, high, low, close) market data to train their own HyperGPT trading bots to outperform the market.

With these tools and resources, traders can delve into HyperGPT's historical data, gain valuable insights, and potentially enhance their trading strategies.

How to read HyperGPT candlestick data

historicalImage

HyperGPT 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 HyperGPT historical data, when the HyperGPT 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 HyperGPT, 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 HyperGPT, 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.