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.

Somewhat resembling developments of Dogecoin in early 2021, the market cap of Shiba Inu (SHIB) more than tripled in only a few weeks. This rapid growth especially occurred since September 2021, with the cryptocurrency breaking the ** billion U.S. dollar barrier multiple in the following month. Whilst no exact reason was given why the memecoin grew so fast during this time, the digital currency did become available on Coinbase, one of the world's most well-known crypto exchanges, on September 17. This move, and the fact that consumers in the U.S. and the UK overall tend to invest in crypto for fun or as a potential growth investment, might explain the popularity of the dog-themed coin. Indeed, Shiba Inu ranked as the number ** cryptocurrency in the world based on market cap in late October 2021 - closely behind DeFi-affilated like Uniswap (UNI) and Terra (LUNA).

Відстеження історії цін Shibaqua дозволяє криптоінвесторам легко контролювати ефективність своїх інвестицій. Ви можете зручно відстежувати значення відкриття, максимуму і закриття для Shibaqua, а також обсягу торгівлі протягом певного часу. Крім того, ви можете миттєво переглянути щоденні зміни у відсотках, що дозволяє легко визначити дні зі значними коливаннями. Згідно з нашими даними історії цін Shibaqua, його вартість злетіла до безпрецедентного піку в 2024-04-01, перевищивши $0.{4}1056 USD. З іншого боку, найнижча точка цінової траєкторії Shibaqua, яку зазвичай називають «історичним мінімумом Shibaqua», сталася на 2024-08-12. Якби хтось придбав Shibaqua за цей час, то зараз він би мав неабиякий прибуток у розмірі -100%. За задумом, буде створено 107.54B Shibaqua. Наразі циркулююча пропозиція Shibaqua становить приблизно 0. Всі ціни, вказані на цій сторінці, отримані від надійного джерела Bitget. Дуже важливо покладатися на єдине джерело для тестування ваших інвестицій, оскільки значення можуть відрізнятися у різних продавців. До наших даних історичної ціни Shibaqua входять дані з інтервалами в 1 хвилину, 1 день, 1 тиждень та 1 місяць (відкриття/макс./мін./закриття/обсяг). Ці дані пройшли ретельне тестування для забезпечення узгодженості, повноти та точності. Вони спеціально підібрані для моделювання торгівлі та бек-тестування, доступні для безоплатного завантаження та оновлюються в режимі реального часу.

Shiba Inu trading volume accelerated significantly in October 2021, as the *** trade volume grew from roughly *********** U.S. dollars into double digits. Whilst the cryptocurrency based on the famous Japanese dog breed already had a trading peak early in ********, ************ could be seen as the breakthrough month for the coin as it became one of the most valuable cryptocurrencies available. The meme-inspired digital currency saw a major price increase during this month, as it invoked a similar sentiment as to early 2021 when Dogecoin became a popular cryptocurrency to invest in.

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

Context

Real and up to date stock market exchange of cryptocurrencies can be quite expensive and are hard to get. However, historical financial data are the starting point to develop algorithm(s) to analyze market trend and why not beat the market by predicting market movement.

Content

Data provided in this dataset are historical data from the beginning of SHIB-USD pair market on Kraken exchange up to the present (2021 December). This data comes frome real trades on one of the most popular cryptocurrencies exchange.

Trading history

Historical market data, also known as trading history, time and sales or tick data, provides a detailed record of every trade that happens on Kraken exchange, and includes the following information: - Timestamp - The exact date and time of each trade. - Price - The price at which each trade occurred. - Volume - The amount of volume that was traded.

OHLCVT

In addition, OHLCVT data are provided for the most common period interval: 1 min, 5 min, 15 min, 1 hour, 12 hours and 1 day. OHLCVT stands for Open, High, Low, Close, Volume and Trades and represents the following trading information for each time period: - Open - The first traded price - High - The highest traded price - Low - The lowest traded price - Close - The final traded price - Volume - The total volume traded by all trades - Trades - The number of individual trades

Don't hesitate to tell me if you need other period interval 😉 ...

Update

This dataset will be updated every quarter to add new and up to date market trend. Let me know if you need an update more frequently.

Inspiration

Can you beat the market? Let see what you can do with these data!

Context

Real and up to date stock market exchange of cryptocurrencies can be quite expensive and are hard to get. However, historical financial data are the starting point to develop algorithm(s) to analyze market trend and why not beat the market by predicting market movement.

Content

Data provided in this dataset are historical data from the beginning of SHIB-EUR pair market on Kraken exchange up to the present (2021 December). This data comes frome real trades on one of the most popular cryptocurrencies exchange.

Trading history

Historical market data, also known as trading history, time and sales or tick data, provides a detailed record of every trade that happens on Kraken exchange, and includes the following information: - Timestamp - The exact date and time of each trade. - Price - The price at which each trade occurred. - Volume - The amount of volume that was traded.

OHLCVT

In addition, OHLCVT data are provided for the most common period interval: 1 min, 5 min, 15 min, 1 hour, 12 hours and 1 day. OHLCVT stands for Open, High, Low, Close, Volume and Trades and represents the following trading information for each time period: - Open - The first traded price - High - The highest traded price - Low - The lowest traded price - Close - The final traded price - Volume - The total volume traded by all trades - Trades - The number of individual trades

Don't hesitate to tell me if you need other period interval 😉 ...

Update

This dataset will be updated every quarter to add new and up to date market trend. Let me know if you need an update more frequently.

Inspiration

Can you beat the market? Let see what you can do with these data!

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-08. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-16. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-09. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-15. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-18. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

A list containing 213 different stablecoins reveals that only *** of them had a market cap of over ** billion USD in 2025. The likes of Tether (USDT) and USD Coin (USDC) are tied (pegged) to a "real-world" asset - in their case, the USD - whereas a coin like DAI is connected to the development of other cryptocurrencies. Algorithmic stablecoins have nearly no backing, but use an algorithm that creates more of a particular (crypto) asset within the same blockchain. Stablecoins as a group hit the news frequently in 2022, although only a few featured in a ranking of top 120 cryptocurrencies based on market cap. They are meant to be less volatile than, say, Bitcoin (BTC), Ethereum (ETH), or Shiba Inu (SHIB), or other virtual currencies susceptible to significant price swings. The price of the most well-known stablecoin, Tether (USDT), however, consistently hovers around a single USD as is tied (pegged) to the “real-world” U.S. dollar. As stablecoins are connected to physical currencies, they are not the same as Central Bank-Issued Digital Currencies or CBDC like the digital euro or China's e-CNY - which outright digitalize those same currencies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-11. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-23. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-02. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-03. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-26. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-13. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for SHIBA ON BASE on 2025-08-19. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.