The price of the cryptocurrency based on the famous internet meme broke its price decline in early November 2022 - as people started buying the coin after FTX's collapse. This rally only lasted for a few days, however, as a Dogecoin was worth roughly 0.16 U.S. dollars on June 30, 2025. This is a different development than in 2021 - when the crypto became very popular in a short amount of time. Between January 28 and January 29, 2021, 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: not necessarily for its price - the prices of Bitcoin (BTC), Ethereum (ETH), Ripple (XRP) and several other virtual currencies were much higher than that of DOGE - but for its growth.

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.

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.

This dataset is about cryptos per day. It has 1 row and is filtered where the crypto is Dogecoin and the date is the 17th of March 2025. It features 4 columns: date, closing price, and highest price.

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.

This horizontal bar chart displays closing price by cryptos daily using the aggregation sum. The data is filtered where the crypto is Dogecoin and the date is the 17th of April 2025. The data is about cryptos per day.

This scatter chart displays lowest price against highest price. The data is filtered where the crypto is Dogecoin and the date is the 16th of April 2025. The data is about cryptos per day.

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

The mining of Dogecoin became increasingly profitable in 2021, reaching the highest revenue figures since early 2018. This follows after a surge of activity in the cryptocurrency due to comments from Tesla CEO Elon Musk, who remarked on Twitter that people should invest in this digital currency. During the mining of cryptocurrencies, a computer is trying to solve complicated logic puzzles to verify transactions in the blockchain. When this process is completed, the miner receives cryptocurrency as a block reward. The underlying dynamic is that machines with more computing power - or hashrate - are likely to solve more puzzles, and therefore mine more cryptocurrencies. Whether a miner can make money with this depends on various costs such as electricity consumption during this process, transaction fees or whether the hardware used is efficient or not.

Analysis of ‘Doge Coin: An explosion’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/cyruskouhyar/doge-coin-an-explosion on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Context🔥

this Dataset contains the doge coin prices in 2019-Now

Content💯

Doge Coin prices with details, open, close, low and high prices. open and close and all related dates. API that I got the results of is CoinAPI: with free plan you can access rest api i put the link below so you can also use it.

https://www.coinapi.io/

Acknowledgements✔️

thanks to CoinAPI for this amazing service. I will be happy if you vote up it and follow my kaggle profile.😃 I did the same thing for bitcoin: https://www.kaggle.com/cyruskouhyar/btcprices2015now

--- Original source retains full ownership of the source dataset ---

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.

The market cap of the top 10 stablecoin initially multiplied over time, reaching a combined value of over *** 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.

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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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 2025-06-26, 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 2025-06-26. 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.

Between December 2020 and January 2021, the fee for a transaction involving Dogecoin increased by over 1,500 percent. Transaction fees refer to the money paid to the cryptocurrency's miners to get transactions accepted, and cost increases can occur when user numbers increase: as the blockchain has limited space available to process all the transactions, it effectively becomes congested. Growing transaction fees therefore represent both the number of Dogecoin transactions that are waiting in line to be processed, but are also meant as an incentive to miners to process the especially large transactions - as they are more profitable for them. The increase in fees for the cryptocurrrency coincide with both an increase in Dogecoin transactions as well as a price surge for Dogecoin after tweets from Tesla CEO Elon Musk in early 2021.

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 186%. 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.

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.

The virtual money market, encompassing virtual currency transactions and mining, is experiencing robust growth, driven by increasing adoption of cryptocurrencies like Bitcoin and Litecoin for payments and investments. The market's expansion is fueled by several factors, including the rising popularity of decentralized finance (DeFi), the growing acceptance of cryptocurrencies by businesses and institutions, and technological advancements enhancing transaction speeds and security. While regulatory uncertainties and volatility remain significant restraints, the long-term outlook remains positive, particularly with the ongoing development of blockchain technology and its applications beyond finance. We estimate the market size in 2025 to be approximately $1.5 trillion, based on recent growth trends and projected adoption rates. This represents a substantial increase from the previous years, reflecting the growing mainstream appeal of virtual currencies. Specific segments, such as the Bitcoin market, demonstrate the highest market share due to its established brand recognition and first-mover advantage, while newer cryptocurrencies like Dogecoin attract considerable interest, creating diverse market dynamics. The geographical distribution shows a strong concentration in North America and Europe, driven by early adoption and robust technological infrastructure, although Asia-Pacific is demonstrating rapid growth potential. The forecast period (2025-2033) anticipates continued expansion, propelled by expanding use cases beyond speculation. The increasing integration of cryptocurrencies into existing financial systems, through platforms like Coinbase and BitPay, further underscores the market's maturing trajectory. However, challenges persist, including the need for improved regulatory clarity to enhance investor confidence and the ongoing risks associated with market volatility and security breaches. To mitigate these challenges, advancements in blockchain technology focusing on scalability, efficiency, and security are crucial. The competitive landscape features established players like Coinbase and Ripple alongside emerging fintech companies, leading to innovation and further market development. The diverse range of cryptocurrencies, each with its unique features and applications, also adds another layer of complexity and potential for future market expansion.

This scatter chart displays opening price against highest price. The data is filtered where the crypto is Dogecoin and the date is the 16th of April 2025. The data is about cryptos per day.

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