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gotEM

gotEM price history

Time period: 2023-12-23 ~ 2024-12-23
DateOpen*HighLowClose**Volume
2024-12-22
$0.{4}1453
$0.{4}1453
$0.{4}1451
$0.{4}1452
$1.01
2024-12-21
$0.{4}1453
$0.{4}1453
$0.{4}1452
$0.{4}1453
$1.01
2024-12-20
$0.{4}1452
$0.{4}1453
$0.{4}1451
$0.{4}1453
$1.01
2024-12-19
$0.{4}1452
$0.{4}1453
$0.{4}1450
$0.{4}1452
$1.01
2024-12-18
$0.{4}1008
$0.{4}1453
$0.{4}1007
$0.{4}1452
$1.01
2024-12-17
$0.{4}1008
$0.{4}1008
$0.{4}1007
$0.{4}1008
$2.11
2024-12-16
$0.{4}1610
$0.{4}1611
$0.{4}1007
$0.{4}1008
$2.11
2024-12-15
$0.{4}1611
$0.{4}1611
$0.{4}1610
$0.{4}1610
$1.95
2024-12-14
$0.{4}1611
$0.{4}1611
$0.{4}1610
$0.{4}1611
$1.95
2024-12-13
$0.{4}1611
$0.{4}1612
$0.{4}1610
$0.{4}1611
$1.95
2024-12-12
$0.{4}1612
$0.{4}1612
$0.{4}1610
$0.{4}1611
$1.95
2024-12-11
$0.{4}1612
$0.{4}1613
$0.{4}1611
$0.{4}1612
$1.95
2024-12-10
$0.{4}1612
$0.{4}1613
$0.{4}1611
$0.{4}1612
$1.95
2024-12-09
$0.{4}1612
$0.{4}1613
$0.{4}1610
$0.{4}1612
$1.95
2024-12-08
$0.{4}1612
$0.{4}1613
$0.{4}1612
$0.{4}1612
$1.95
2024-12-07
$0.{4}1613
$0.{4}1614
$0.{4}1612
$0.{4}1612
$1.95
2024-12-06
$0.{4}1612
$0.{4}1614
$0.{4}1611
$0.{4}1613
$1.96
2024-12-05
$0.{4}1717
$0.{4}1717
$0.{4}1611
$0.{4}1614
$1.96
2024-12-04
$0.{4}1715
$0.{4}1718
$0.{4}1715
$0.{4}1717
$2.1
2024-12-03
$0.{4}1715
$0.{4}1716
$0.{4}1713
$0.{4}1715
$2.1
2024-12-02
$0.{4}1715
$0.{4}1716
$0.{4}1714
$0.{4}1715
$2.1
2024-12-01
$0.{4}1715
$0.{4}1716
$0.{4}1714
$0.{4}1715
$2.1
2024-11-30
$0.{4}1715
$0.{4}1716
$0.{4}1714
$0.{4}1715
$2.1
2024-11-29
$0.{4}1714
$0.{4}1716
$0.{4}1714
$0.{4}1715
$2.1
2024-11-28
$0.{4}1716
$0.{4}1716
$0.{4}1714
$0.{4}1714
$2.1
2024-11-27
$0.{4}1802
$0.{4}1803
$0.{4}1713
$0.{4}1716
$2.1
2024-11-26
$0.{4}1180
$0.{4}1804
$0.{4}1179
$0.{4}1802
$1
2024-11-25
$0.{4}1181
$0.{4}1182
$0.{4}1180
$0.{4}1180
$23.81
2024-11-24
$0.{4}1208
$0.{4}1209
$0.{4}1180
$0.{4}1181
$23.83
2024-11-23
$0.{4}1208
$0.{4}1210
$0.{4}1208
$0.{4}1208
$1.61
* Earliest data in range (UTC time)
** Latest data in range (UTC time)

Download gotEM price historical data

gotEM candlestick data

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

Download free historical data for gotEM at daily intervals to facilitate your investment decisions.
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About gotEM Price History Data

gotEM 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 gotEM 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 gotEM price history data, its value soared to an unprecedented peak in 2021-12-18, surpassing $1 USD.On the other hand, the lowest point in gotEM's price trajectory, commonly referred to as the "gotEM all-time low", occurred on 2023-06-10.If one had purchased gotEM during that time, they would currently enjoy a remarkable profit of -93%.

By design, 289,000,000 gotEM will be created. As of now, the circulating supply of gotEM 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 gotEM 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.

gotEM Historical Data Use Cases

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

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

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

How to read gotEM candlestick data

historicalImage

gotEM 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 gotEM historical data, when the gotEM 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 gotEM, 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 gotEM, 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.