Dogecoin trading volume did not reach until significant value until 2021, when public endorsements and certain events led to significant investor interest. The biggest recorded volume occurred in April 16, 2021, two days after Tesla CEO Elon Musk posted - and eventually deleted - a cryptic tweet that said "Doge Barking at the Moon", along with a picture of the 1926 painting with the same name from Spanish artist Joan Miró. Many people saw this message as yet another endorsement for the cryptocurrency, as it looked like a reference to "to the moon" - originally a catch phrase from Reddit group WallStreetBets for the GameStop stock and eventually became associated with Dogecoin. This because around this time, the Dogecoin price development exceeded that of Bitcoin.

Although the number of transactions in Dogecoin increased in early 2021, there were roughly 50,000 of these on a single day. This figure is significantly lower when compared to the transaction volumes of other cryptocurrencies. Between January 28 and January 29, Dogecoin's value grew by around 216 percent to 0.023535 U.S. dollars after comments from Tesla CEO Elon Musk. The digital coin quickly grew to become the most talked-about cryptocurrency available.

Dataset Presentation:

This dataset provides collection of H4 intervals price data for DOGECOIN. The dataset includes many advanced technical indicators.

Making it a valuable resource for cryptocurrency market analysis, research, and trading strategies. Whether you are interested in historical trends or real-time market dynamics, this dataset offers insights into the price movements and behaviours.

Date Range: From 2023-05-20 00:00:00 to 2023-11-02 12:00:00

Date Format: YYYY-MM-DD HH-MM-SS

Data Source: Binance API

Features:

• date: (YYYY-MM-DD HH-MM-SS). The specific day on which the data was recorded.
• open: The price at which a security first trades upon the opening of an exchange on a trading day.
• high: The highest price of the security during the trading day.
• low: The lowest price of the security during the trading day.
• close: The final price at which the security trades during the trading day.
• volume: The number of shares or contracts traded for the security on that day.
• tradecount: The number of individual trades conducted for the security on that day.
• hour: The specific hour of the trading day.
• day: The day of the week.
• month: The month of the year.
• volatility: A statistical measure of the dispersion of returns for the security.
• hc_change: The change between the high and close prices.
• lc_change: The change between the low and close prices.
• price_change: The change in price from the previous trading day to the current trading day.
• CMO: Chande Momentum Oscillator, a technical momentum indicator.
• Z-Score: A statistical measurement of a score's relationship to the mean in a group of scores.
• day_of_month: The specific day within the month.
• is_weekend: A binary indicator if the day is a weekend (1 for Yes, 0 for No).
• close_lag_1: The closing price from one day prior.
• volume_lag_1: The trading volume from one day prior.
• price_change_lag_1: The price change from one day prior.
• volume_lag_2: The trading volume from two days prior.
• price_change_lag_2: The price change from two days prior.
• volume_lag_3: The trading volume from three days prior.
• price_change_lag_3: The price change from three days prior.
• close_rolling_mean_3: The average closing price over the last 3 days.
• close_rolling_std_3: The standard deviation of the closing price over the last 3 days.
• volume_rolling_mean_3: The average trading volume over the last 3 days.
• volume_rolling_std_3: The standard deviation of the trading volume over the last 3 days.
• volume_price_interaction: An interaction term between volume and price, often used to capture combined effects.
• close_rolling_mean_5: The average closing price over the last 5 days.
• close_rolling_mean_10: The average closing price over the last 10 days.
• close_rolling_mean_20: The average closing price over the last 20 days.
• close_rolling_std_5: The standard deviation of the closing price over the last 5 days.
• close_rolling_std_10: The standard deviation of the closing price over the last 10 days.
• close_rolling_std_20: The standard deviation of the closing price over the last 20 days.

These features can be used in financial analysis, especially in the context of time series forecasting and algorithmic trading strategies.

Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

Dogecoin's market cap grew six-fold in January 2021 after tweets from Tesla CEO Elon Musk, and has kept on growing since. By February 2021, the market cap of the cryptocurrency based on the famous internet meme had already doubled again. Compared to both the Bitcoin market capitalization as well as the Ethereum market cap, Dogecoin was not as popular.

DOGE started it. SHIB took it mainstream. BONK and PEPE brought in the crowds. Now what?

Stay on top of the entire meme coin ecosystem through CoinAPI's comprehensive data feeds. We've connected to 350+ exchanges so you don't have to, bringing together every significant market into one unified API that actually works when you need it. Dig into historical patterns that shaped today's meme coin landscape. Compare volume spikes across different tokens during viral moments. Track institutional entry points that transformed joke coins into serious market movers.

From quick price checks to in-depth research projects, our institutional-grade precision helps you navigate this volatile but opportunity-rich corner of the crypto market. With Digital Asset Data complete market coverage, you'll never miss a beat. Serious data for not-so-serious coins. That's the CoinAPI difference

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Stock Market Analysis of Dogecoin Cryptocurrency from it's Founding / Listing Years which is 2014 to 2022.

Data Dictionary

Columns	Description
Date	Date of Listing (YYYY-MM-DD)
Open	Price when the market opens
High	Highest recorded price for the day
Low	Lowest recorded price for the day
Close	Price when the market closes
Adj Close	Modified closing price based on corporate actions
Volume	Amount of stocks sold in a day

About Dogecoin DOGE

Dogecoin : DOGE is a cryptocurrency created by software engineers Billy Markus and Jackson Palmer, who decided to create a payment system as a "joke", making fun of the wild speculation in cryptocurrencies at the time. It is considered both the first "meme coin", and, more specifically, the first "dog coin". Despite its satirical nature, some consider it a legitimate investment prospect. Dogecoin features the face of the Shiba Inu dog from the "doge" meme as its logo and namesake. It was introduced on December 6, 2013, and quickly developed its own online community, reaching a market capitalization of over $85 billion on May 5, 2021. It is the current shirt sponsor of Watford Football Club.

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The market cap of the top 10 stablecoin initially multiplied over time, reaching a combined value of over 221 billion USD in May 2025. Note this value does not include TerraUSD (UST), the algorithmic stablecoin tied to the LUNA crypto which declined severely in May 2022. Up to then, estimates reveal that the market cap had more than tripled within five months - likely following growing interest worldwide in cryptocurrencies, after sudden price spikes in a coin like Dogecoin (DOGE). Stability above all, or what does a stablecoin do? Stablecoins are cryptocurrencies - like the commonly known Bitcoin (BTC) and Ethereum (ETH) - but their value is determined differently. Whilst the price of Bitcoin mainly follows supply - how many coins are being mined or are available to purchase - and demand - how many investors want to buy the coin - stablecoins are synthetically connected to the price of an altogether different asset. Tether's USDT, for instance, is connected to the price development of the U.S. dollar (USD): if the U.S. dollar falls in the FX market, so does the USDT. Compare this to the "regular" price history of a cryptocurrency like Ripple (XRP) and stablecoins reveal themselves to be a relatively less volatile digital currency to either use or invest in than their counterparts in the free market. A test ground for digital payments This stability of these particular cryptocurrencies is important for two areas in digital payments that do not prefer volatility. For instance, these coins are a popular choice within the world of Decentralized Finance or DeFi - an online financial market without the supervision of central bank that relies on cryptocurrencies for payments and loans. Because of that reliance, it is a market that can rapidly change in size due to price fluctuations or changing transaction fees of certain cryptocurrencies - something that is less likely to occur when using stablecoins. Additionally, stablecoins are considered the inspiration for so-called CBDC or Central Bank Digital Currencies - such as China's e-CNY currency or the "digital euro" that is being researched in the EU-27. In terms of how advanced countries worldwide are into researching their own cryptocurrency, China ranked third in 2020, behind Cambodia, and The Bahamas.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Elon Musk Accused of Insider Trading in Dogecoin Lawsuit

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Cryptocurrency historical datasets from January 2012 (if available) to October 2021 were obtained and integrated from various sources and Application Programming Interfaces (APIs) including Yahoo Finance, Cryptodownload, CoinMarketCap, various Kaggle datasets, and multiple APIs. While these datasets used various formats of time (e.g., minutes, hours, days), in order to integrate the datasets days format was used for in this research study. The integrated cryptocurrency historical datasets for 80 cryptocurrencies including but not limited to Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Cardano (ADA), Tether (USDT), Ripple (XRP), Solana (SOL), Polkadot (DOT), USD Coin (USDC), Dogecoin (DOGE), Tron (TRX), Bitcoin Cash (BCH), Litecoin (LTC), EOS (EOS), Cosmos (ATOM), Stellar (XLM), Wrapped Bitcoin (WBTC), Uniswap (UNI), Terra (LUNA), SHIBA INU (SHIB), and 60 more cryptocurrencies were uploaded in this online Mendeley data repository. Although the primary attribute of including the mentioned cryptocurrencies was the Market Capitalization, a subject matter expert i.e., a professional trader has also guided the initial selection of the cryptocurrencies by analyzing various indicators such as Relative Strength Index (RSI), Moving Average Convergence/Divergence (MACD), MYC Signals, Bollinger Bands, Fibonacci Retracement, Stochastic Oscillator and Ichimoku Cloud. The primary features of this dataset that were used as the decision-making criteria of the CLUS-MCDA II approach are Timestamps, Open, High, Low, Closed, Volume (Currency), % Change (7 days and 24 hours), Market Cap and Weighted Price values. The available excel and CSV files in this data set are just part of the integrated data and other databases, datasets and API References that was used in this study are as follows: [1] https://finance.yahoo.com/ [2] https://coinmarketcap.com/historical/ [3] https://cryptodatadownload.com/ [4] https://kaggle.com/philmohun/cryptocurrency-financial-data [5] https://kaggle.com/deepshah16/meme-cryptocurrency-historical-data [6] https://kaggle.com/sudalairajkumar/cryptocurrencypricehistory [7] https://min-api.cryptocompare.com/data/price?fsym=BTC&tsyms=USD [8] https://min-api.cryptocompare.com/ [9] https://p.nomics.com/cryptocurrency-bitcoin-api [10] https://www.coinapi.io/ [11] https://www.coingecko.com/en/api [12] https://cryptowat.ch/ [13] https://www.alphavantage.co/ This dataset is part of the CLUS-MCDA (Cluster analysis for improving Multiple Criteria Decision Analysis) and CLUS-MCDAII Project: https://aimaghsoodi.github.io/CLUSMCDA-R-Package/ https://github.com/Aimaghsoodi/CLUS-MCDA-II https://github.com/azadkavian/CLUS-MCDA

DOGE TO MARS Ang pagsubaybay sa kasaysayan ng presyo ay nagbibigay-daan sa mga crypto investor na madaling masubaybayan ang performance ng kanilang pamumuhunan. Maginhawa mong masusubaybayan ang opening value, high, at close sa DOGE TO MARS sa paglipas ng panahon, pati na rin ang trade volume. Bukod pa rito, maaari mong agad na tingnan ang pang-araw-araw na pagbabago bilang isang porsyento, na ginagawang effortless na tukuyin ang mga araw na may significant fluctuations. Ayon sa aming data ng history ng presyo ng DOGE TO MARS, tumaas ang halaga nito sa hindi pa naganap na peak sa 2025-03-26, na lumampas sa $0.{10}1150 USD. Sa kabilang banda, ang pinakamababang punto sa trajectory ng presyo ni DOGE TO MARS, na karaniwang tinutukoy bilang "DOGE TO MARS all-time low", ay naganap noong 2025-04-07. Kung ang isa ay bumili ng DOGE TO MARS sa panahong iyon, kasalukuyan silang masisiyahan sa isang kahanga-hangang kita na 152%. Sa pamamagitan ng disenyo, ang 42,069T DOGE TO MARS ay malilikha. Sa ngayon, ang circulating supply ng DOGE TO MARS ay tinatayang 0. Ang lahat ng mga presyong nakalista sa pahinang ito ay nakuha mula sa Bitget, galing sa isang reliable source. Napakahalagang umasa sa iisang pinagmulan upang suriin ang iyong mga investment, dahil maaaring mag-iba ang mga halaga sa iba't ibang nagbebenta. Kasama sa aming makasaysayang DOGE TO MARS dataset ng presyo ang data sa pagitan ng 1 minuto, 1 araw, 1 linggo, at 1 buwan (bukas/mataas/mababa/close/volume). Ang mga dataset na ito ay sumailalim sa mahigpit na pagsubok upang matiyak ang consistency, pagkakumpleto, at accurancy. Ang mga ito ay partikular na idinisenyo para sa trade simulation at mga layunin ng backtesting, madaling magagamit para sa libreng pag-download, at na-update sa real-time.

Doge Inu Ang pagsubaybay sa kasaysayan ng presyo ay nagbibigay-daan sa mga crypto investor na madaling masubaybayan ang performance ng kanilang pamumuhunan. Maginhawa mong masusubaybayan ang opening value, high, at close sa Doge Inu sa paglipas ng panahon, pati na rin ang trade volume. Bukod pa rito, maaari mong agad na tingnan ang pang-araw-araw na pagbabago bilang isang porsyento, na ginagawang effortless na tukuyin ang mga araw na may significant fluctuations. Ayon sa aming data ng history ng presyo ng Doge Inu, tumaas ang halaga nito sa hindi pa naganap na peak sa 2023-05-12, na lumampas sa $0.{8}1242 USD. Sa kabilang banda, ang pinakamababang punto sa trajectory ng presyo ni Doge Inu, na karaniwang tinutukoy bilang "Doge Inu all-time low", ay naganap noong 2023-09-11. Kung ang isa ay bumili ng Doge Inu sa panahong iyon, kasalukuyan silang masisiyahan sa isang kahanga-hangang kita na -100%. Sa pamamagitan ng disenyo, ang 420.69T Doge Inu ay malilikha. Sa ngayon, ang circulating supply ng Doge Inu ay tinatayang 0. Ang lahat ng mga presyong nakalista sa pahinang ito ay nakuha mula sa Bitget, galing sa isang reliable source. Napakahalagang umasa sa iisang pinagmulan upang suriin ang iyong mga investment, dahil maaaring mag-iba ang mga halaga sa iba't ibang nagbebenta. Kasama sa aming makasaysayang Doge Inu dataset ng presyo ang data sa pagitan ng 1 minuto, 1 araw, 1 linggo, at 1 buwan (bukas/mataas/mababa/close/volume). Ang mga dataset na ito ay sumailalim sa mahigpit na pagsubok upang matiyak ang consistency, pagkakumpleto, at accurancy. Ang mga ito ay partikular na idinisenyo para sa trade simulation at mga layunin ng backtesting, madaling magagamit para sa libreng pag-download, at na-update sa real-time.

Manic Doge Ang pagsubaybay sa kasaysayan ng presyo ay nagbibigay-daan sa mga crypto investor na madaling masubaybayan ang performance ng kanilang pamumuhunan. Maginhawa mong masusubaybayan ang opening value, high, at close sa Manic Doge sa paglipas ng panahon, pati na rin ang trade volume. Bukod pa rito, maaari mong agad na tingnan ang pang-araw-araw na pagbabago bilang isang porsyento, na ginagawang effortless na tukuyin ang mga araw na may significant fluctuations. Ayon sa aming data ng history ng presyo ng Manic Doge, tumaas ang halaga nito sa hindi pa naganap na peak sa 2025-06-08, na lumampas sa -- USD. Sa kabilang banda, ang pinakamababang punto sa trajectory ng presyo ni Manic Doge, na karaniwang tinutukoy bilang "Manic Doge all-time low", ay naganap noong 2025-06-08. Kung ang isa ay bumili ng Manic Doge sa panahong iyon, kasalukuyan silang masisiyahan sa isang kahanga-hangang kita na 0%. Sa pamamagitan ng disenyo, ang 100,000 Manic Doge ay malilikha. Sa ngayon, ang circulating supply ng Manic Doge ay tinatayang 0. Ang lahat ng mga presyong nakalista sa pahinang ito ay nakuha mula sa Bitget, galing sa isang reliable source. Napakahalagang umasa sa iisang pinagmulan upang suriin ang iyong mga investment, dahil maaaring mag-iba ang mga halaga sa iba't ibang nagbebenta. Kasama sa aming makasaysayang Manic Doge dataset ng presyo ang data sa pagitan ng 1 minuto, 1 araw, 1 linggo, at 1 buwan (bukas/mataas/mababa/close/volume). Ang mga dataset na ito ay sumailalim sa mahigpit na pagsubok upang matiyak ang consistency, pagkakumpleto, at accurancy. Ang mga ito ay partikular na idinisenyo para sa trade simulation at mga layunin ng backtesting, madaling magagamit para sa libreng pag-download, at na-update sa real-time.

CRAZY DOGE Ang pagsubaybay sa kasaysayan ng presyo ay nagbibigay-daan sa mga crypto investor na madaling masubaybayan ang performance ng kanilang pamumuhunan. Maginhawa mong masusubaybayan ang opening value, high, at close sa CRAZY DOGE sa paglipas ng panahon, pati na rin ang trade volume. Bukod pa rito, maaari mong agad na tingnan ang pang-araw-araw na pagbabago bilang isang porsyento, na ginagawang effortless na tukuyin ang mga araw na may significant fluctuations. Ayon sa aming data ng history ng presyo ng CRAZY DOGE, tumaas ang halaga nito sa hindi pa naganap na peak sa 2023-12-05, na lumampas sa $0.{11}1290 USD. Sa kabilang banda, ang pinakamababang punto sa trajectory ng presyo ni CRAZY DOGE, na karaniwang tinutukoy bilang "CRAZY DOGE all-time low", ay naganap noong 2024-12-17. Kung ang isa ay bumili ng CRAZY DOGE sa panahong iyon, kasalukuyan silang masisiyahan sa isang kahanga-hangang kita na 173%. Sa pamamagitan ng disenyo, ang 99,974.33T CRAZY DOGE ay malilikha. Sa ngayon, ang circulating supply ng CRAZY DOGE ay tinatayang 0. Ang lahat ng mga presyong nakalista sa pahinang ito ay nakuha mula sa Bitget, galing sa isang reliable source. Napakahalagang umasa sa iisang pinagmulan upang suriin ang iyong mga investment, dahil maaaring mag-iba ang mga halaga sa iba't ibang nagbebenta. Kasama sa aming makasaysayang CRAZY DOGE dataset ng presyo ang data sa pagitan ng 1 minuto, 1 araw, 1 linggo, at 1 buwan (bukas/mataas/mababa/close/volume). Ang mga dataset na ito ay sumailalim sa mahigpit na pagsubok upang matiyak ang consistency, pagkakumpleto, at accurancy. Ang mga ito ay partikular na idinisenyo para sa trade simulation at mga layunin ng backtesting, madaling magagamit para sa libreng pag-download, at na-update sa real-time.

Yorkie Doge Ang pagsubaybay sa kasaysayan ng presyo ay nagbibigay-daan sa mga crypto investor na madaling masubaybayan ang performance ng kanilang pamumuhunan. Maginhawa mong masusubaybayan ang opening value, high, at close sa Yorkie Doge sa paglipas ng panahon, pati na rin ang trade volume. Bukod pa rito, maaari mong agad na tingnan ang pang-araw-araw na pagbabago bilang isang porsyento, na ginagawang effortless na tukuyin ang mga araw na may significant fluctuations. Ayon sa aming data ng history ng presyo ng Yorkie Doge, tumaas ang halaga nito sa hindi pa naganap na peak sa 2023-04-09, na lumampas sa $0.{4}1075 USD. Sa kabilang banda, ang pinakamababang punto sa trajectory ng presyo ni Yorkie Doge, na karaniwang tinutukoy bilang "Yorkie Doge all-time low", ay naganap noong 2023-04-27. Kung ang isa ay bumili ng Yorkie Doge sa panahong iyon, kasalukuyan silang masisiyahan sa isang kahanga-hangang kita na -100%. Sa pamamagitan ng disenyo, ang 100B Yorkie Doge ay malilikha. Sa ngayon, ang circulating supply ng Yorkie Doge ay tinatayang 0. Ang lahat ng mga presyong nakalista sa pahinang ito ay nakuha mula sa Bitget, galing sa isang reliable source. Napakahalagang umasa sa iisang pinagmulan upang suriin ang iyong mga investment, dahil maaaring mag-iba ang mga halaga sa iba't ibang nagbebenta. Kasama sa aming makasaysayang Yorkie Doge dataset ng presyo ang data sa pagitan ng 1 minuto, 1 araw, 1 linggo, at 1 buwan (bukas/mataas/mababa/close/volume). Ang mga dataset na ito ay sumailalim sa mahigpit na pagsubok upang matiyak ang consistency, pagkakumpleto, at accurancy. Ang mga ito ay partikular na idinisenyo para sa trade simulation at mga layunin ng backtesting, madaling magagamit para sa libreng pag-download, at na-update sa real-time.

Memecoin Shiba Inu saw its price grow by more than 300 percent within one and the same month, marking a trading fury reminiscent of Dogecoin in early 2021. Indeed, the SHIB coin ranked as one of the biggest crypto in the world based on 24h trading volume in October 2021 - with trading activity being almost as high as that of Ethereum. Originally starting out as a fun token based on the famous Japanese dog breed, the digital currency grabbed mainstream attention in 2021 probably due to its low barrier of entry: Even after its price spikes, Shiba Inu was one of the cheapest coins available, especially when compared to the price of 99 other cryptocurrencies. Combine this with survey information that most consumers in the U.S. and the UK invest in crypto either for growth or fun, and Shiba Inu is probably seen by many as a relatively simple, "quick win" investment. As of May 19, 2025, the price of one million Shiba Inu is 14.08.

Get complete Meme Coin Market Data with CoinAPI. Track DOGE, SHIB, BONK, PEPE, and more across 350+ exchanges through our unified API. Explore historical volumes and trades with institutional-grade precision. Discover our Digital Asset Data landscape.

Ghibli Doge Ang pagsubaybay sa kasaysayan ng presyo ay nagbibigay-daan sa mga crypto investor na madaling masubaybayan ang performance ng kanilang pamumuhunan. Maginhawa mong masusubaybayan ang opening value, high, at close sa Ghibli Doge sa paglipas ng panahon, pati na rin ang trade volume. Bukod pa rito, maaari mong agad na tingnan ang pang-araw-araw na pagbabago bilang isang porsyento, na ginagawang effortless na tukuyin ang mga araw na may significant fluctuations. Ayon sa aming data ng history ng presyo ng Ghibli Doge, tumaas ang halaga nito sa hindi pa naganap na peak sa 2025-03-27, na lumampas sa $0.{11}5776 USD. Sa kabilang banda, ang pinakamababang punto sa trajectory ng presyo ni Ghibli Doge, na karaniwang tinutukoy bilang "Ghibli Doge all-time low", ay naganap noong 2025-04-07. Kung ang isa ay bumili ng Ghibli Doge sa panahong iyon, kasalukuyan silang masisiyahan sa isang kahanga-hangang kita na 22%. Sa pamamagitan ng disenyo, ang 42,069T Ghibli Doge ay malilikha. Sa ngayon, ang circulating supply ng Ghibli Doge ay tinatayang 0. Ang lahat ng mga presyong nakalista sa pahinang ito ay nakuha mula sa Bitget, galing sa isang reliable source. Napakahalagang umasa sa iisang pinagmulan upang suriin ang iyong mga investment, dahil maaaring mag-iba ang mga halaga sa iba't ibang nagbebenta. Kasama sa aming makasaysayang Ghibli Doge dataset ng presyo ang data sa pagitan ng 1 minuto, 1 araw, 1 linggo, at 1 buwan (bukas/mataas/mababa/close/volume). Ang mga dataset na ito ay sumailalim sa mahigpit na pagsubok upang matiyak ang consistency, pagkakumpleto, at accurancy. Ang mga ito ay partikular na idinisenyo para sa trade simulation at mga layunin ng backtesting, madaling magagamit para sa libreng pag-download, at na-update sa real-time.

The global cryptocurrency market is projected to ascend to US$ 13 billion by the end of 2034, up from US$ 3.8 billion in 2024. Worldwide revenue has been calculated to increase at a high-value CAGR of 13% from 2024 to 2034.

Report Attribute	Detail
Cryptocurrency Market Size (2024E)	US$ 3.8 Billion
Projected Market Value (2034F)	US$ 13 Billion
Global Market Growth Rate (2024 to 2034)	13% CAGR
China Market Value (2034F)	US$ 1.4 Billion
Canada Market Growth Rate (2024 to 2034)	13.5% CAGR
North America Market Share (2024E)	23.9%
East Asia Market Value (2034F)	US$ 3 Billion
Key Companies Profiled	Intel Corporation; Microsoft Corporation; NVIDIA Corporation; BitFury Group Limited; Alphapoint Corporation; Advanced Micro Devices, Inc.; Xilinx Inc.; Bingo; Ripple; BTL Group Ltd.

Country-wise Insights

Attribute	United States
Market Value (2024E)	US$ 400 Million
Growth Rate (2024 to 2034)	13.5% CAGR
Projected Value (2034F)	US$ 1.4 Billion

Attribute	China
Market Value (2024E)	US$ 400 Million
Growth Rate (2024 to 2034)	13% CAGR
Projected Value (2034F)	US$ 1.4 Billion

Category-wise Insights

Attribute	Hardware
Segment Value (2024E)	US$ 2.9 Billion
Growth Rate (2024 to 2034)	13.7% CAGR
Projected Value (2034F)	US$ 10.4 Billion

Attribute	Bitcoin
Segment Value (2024E)	US$ 2.4 Billion
Growth Rate (2024 to 2034)	12.2% CAGR
Projected Value (2034F)	US$ 7.5 Billion

How many cryptocurrencies are there? In short, there were over 9,000 as of 2023, although there were many more digital coins in the early months of 2022. Note, however, that a large portion of cryptocurrencies might not be that significant. There are other estimates of roughly 20,000 cryptocurrencies existing, but most of these are either inactive or discontinued. Due to how open the creation process of a cryptocurrency is, it is relatively easy to make one. Indeed, the top 20 cryptocurrencies make up nearly 90 percent of the total market. Why are there thousands of cryptocurrencies? Any private individual or company that knows how to write a program on a blockchain can technically create a cryptocurrency. That blockchain can be an existing one. Ethereum and Binance Smart Chain are popular blockchain platforms for such ends, including smart contracts within Decentralized Finance (DeFi). The ease of crypto creation allows some individuals to find solutions to real-world payment problems while others hope to make a quick profit. This explains why some crypto lack utility. Meme coins such as Dogecoin - named after a Japanese dog species - are an infamous example, with Dogecoin's creator coming out and stating the coin started as a joke. The many different types of cryptocurrency Meme coins are but one group of cryptocurrencies. Other types include altcoins, utility tokens, governance tokens, and stablecoins. Altcoins are often measured against Bitcoin, as this refers to all crypto that followed after Bitcoin - the first digital currency ever created. Utility tokens and governance tokens are somewhat connected to NFTs and the metaverse. A specific example is the MANA cryptocurrency, which allows real estate purchases in the Decentraland metaverse. Stablecoins refer to the likes of Tether, which are pegged to a real-world asset like the U.S. dollar. Such coins are meant to be less volatile than regular cryptocurrency.