Litecoin's market cap in early 2020 was the highest ever-recorded, topping over *********** U.S. dollars and a value that had increased by 100 percent since ***********. Market capitalization figures are calculated by multiplying the total number of Litecoin in circulation by the Litecoin price. Compared to both the Bitcoin market capitalization as well as the Ethereum market cap, though, Litecoin's figures were significantly smaller.

The Litecoin cryptocurrency peaked in both 2017 and 2020, reaching prices worth around 250 dollars, but did not reach this by 2022. As of November 13, 2025, one Litecoin token was worth 97.49 U.S. dollars. Litecoin's price was relatively volatile recently, revealing high price swings between months.What is a cryptocurrency?Cryptocurrencies are digital currencies that do not have a centralized regulating authority. The first of these, Bitcoin, introduced a technology called blockchain, in which a distributed ledger records every transaction on every bitcoin in circulation to prevent fraud. Litecoin also uses this technology. To accommodate the demands of constant ledger updates, users sell computational power in exchange for an amount of Litecoin, a process known as mining.More about LitecoinCryptocurrencies are still an emerging technology, and few are using them for transactions. As such, most users are speculators who look at the value of all coins in circulation as the market capitalization rather than money supply. Still, the average number of Litecoin transactions ranges in the tens of thousands, meaning that the cryptocurrency has a substantial financial footprint.

The Cryptocurrency Prices dataset includes prices and market capitalization data for popular cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, and Ripple. The data covers daily prices and market capitalization from the inception of each cryptocurrency up to the present day.

The dataset is well-suited for exploratory data analysis, time series analysis, and predictive modeling tasks related to cryptocurrencies. It can be used to examine historical price trends, correlations between different cryptocurrencies, and the overall market capitalization of the cryptocurrency market. Additionally, the data can be used to build models that predict future prices or market capitalization> of specific cryptocurrencies.

Each row of the dataset represents a single day of trading for a particular cryptocurrency. The columns of the dataset include the following:

• Cryptocurrency Name
• Open Price: the opening price of the cryptocurrency on the trading day
• Volume: the volume of the cryptocurrency traded on the trading day
• Market Cap: the total market capitalization of the cryptocurrency on the trading day
• CMC Rank
• Dominance
• Year till date Price Change Percentage

The dataset includes data for multiple cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, Ripple, and many others. Each cryptocurrency has its own set of data columns in the dataset.

This dataset can be helpful for data analysts, data scientists, traders, investors, and anyone interested in exploring the cryptocurrency market. It is intended to facilitate research and analysis of the market and the underlying factors affecting various cryptocurrency prices and market capitalization.

Litecoin price data for 2025-11-25 including currency, value, high, low, open, close, and percentage difference.

LTC Properties reported $1.58B in Market Capitalization this November of 2025, considering the latest stock price and the number of outstanding shares.Data for LTC Properties | LTC - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last November in 2025.

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

Explore the booming global digital coin market, projected to reach [estimated value] by 2033. This comprehensive analysis covers market trends, drivers, restraints, and key players like Bitcoin, Ethereum, and Ripple, providing insights into regional market shares and future growth projections. Discover the potential and challenges facing this rapidly evolving sector.

For each cryptocurrency in the sample the data for prices, volumes and market capitalization is retrieved from https://coinmarketcap.com/, as well as from https://bitinfocharts.com/comparison/tweets-btc-eth-ltc-xrp.html for the number of tweets for each cryptocurrency in the period from 2017-2019.

All-time high price data for Litecoin, including the peak value, date achieved, and current comparison metrics.

Daily historical price data for Litecoin including high, low, open, close, and percentage difference over the most recent 24 days.

Litecoin reached its all-time high price on May 10, 2021.