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.

Detailed Circulating market cap metrics and analytics for Litecoin, including historical data and trends.

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.

Detailed Fully diluted market cap metrics and analytics for Litecoin, including historical data and trends.

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.

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.

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

View daily updates and historical trends for Litecoin Price. Source: CoinGecko. Track economic data with YCharts analytics.

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

This dataset is about the value of Bitcoin, Ethereum and Litecoin in USD and volume transacted of each currency between Jan-1-2020 and Apr-19-2021. Data is collected for ever minute between these two dates from the open of stock exchange to close.

Content

Unix Timestamp - Date represented as epoc value Date - date and time when the data point was collected Symbol - Symbol of the currency Open - Open value of the currency High - Highest value of currency in the given minute Low - Lowest value of currency in the given minute Close - Close value of the currency in the given minute Volume - Volume of the currency transacted in the given minute.

Acknowledgements

Thanks to the team @https://www.CryptoDataDownload.com for making this data available for public

Inspiration

An attempt to understand and learn timeseries data analysis.

Litecoin price data for 2025-11-05 including currency, value, high, low, open, close, and percentage difference.

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.

Historically, gold and silver have played distinct roles in traditional monetary systems. While gold has primarily been revered as a superior store of value, prompting individuals to hoard it, silver has commonly been used as a medium of exchange. As the financial world evolves, the emergence of cryptocurrencies has introduced a new paradigm of value and exchange. However, the store-of-value characteristic of these digital assets remains largely uncharted. Charlie Lee, the founder of Litecoin, once likened Bitcoin to gold and Litecoin to silver. To validate this analogy, our study employs several metrics, including UTXO, STXO, WAL, CoinDaysDestroyed (CDD), and public on-chain transaction data. Furthermore, we've devised trading strategies centered around the Price-to-Utility (PU) ratio, offering a fresh perspective on crypto-asset valuation beyond traditional utilities. Our back-testing results not only display trading indicators for both Bitcoin and Litecoin but also substantiate Lee's metaphor, underscoring Bitcoin's superior store-of-value proposition relative to Litecoin. We anticipate that our findings will drive further exploration into the valuation of crypto assets. For enhanced transparency and to promote future research, we've made our datasets available on Harvard Dataverse and shared our Python code on GitHub as open source.

If you reach this DATASET, please UPVOTE this dataset to show your appreciation Litecoin is a peer-to-peer Internet currency that enables instant, near-zero cost payments to anyone in the world. Litecoin is an open source, global payment network that is fully decentralized without any central authorities. Mathematics secures the network and empowers individuals to control their own finances. Litecoin features faster transaction confirmation times and improved storage efficiency than the leading math-based currency. With substantial industry support, trade volume and liquidity, Litecoin is a proven medium of commerce complementary to Bitcoin.

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Previous Close 41.585 Open 41.585 Day's Range 41.426 - 42.321 52 Week Range 25.57 - 146.43 Start Date 2013-04-28 Market Cap 2.737B Volume 5,353,684,480 Volume (24hr) 5.35B Volume (24hr) All Currencies 5.35B

LTC Properties سرمایه گذاری در بازار - ارزش های فعلی، داده های تاریخی، پیش بینی، آمار، نمودار و تقویم اقتصادی - Nov 2025.Data for LTC Properties | سرمایه گذاری در بازار including historical, tables and charts were last updated by Trading Economics this last November in 2025.

Context: The third generation of cryptocurrencies gathers cryptocurrencies that are as diverse as the market is big (e.g., Dogecoin or Litecoin). While Dogecoin is seen as a memecoin, the other gathers a very different category of investors. To our knowledge, no study has independently assessed the crypto community’s economical impact on these cryptocurrencies. Furthermore, various methodological possibilities exist to forecast cryptocurrency price—mainly coming from online communities.Method: Our study has retrospectively studied (from 01/01/2015 to 03/11/2021)—using open access data—the association strength (using normalized mutual information) and the linear correlation (using Pearson’s correlation) between Twitter activity and cryptocurrency economical attributes. In addition, we have computed different models (ADF, ARIMA, and Interpretable MultiVvariable Long Short-Term Memory recurrent neural network) that forecast past price values and assessed their precision.Findings and conclusions: While the average Dogecoin transaction value is impacted by tweets, tweets are impacted by Litecoin transactions number and average Litecoin transaction value. Tweet number is impacted by Dogecoin whale behavior, but no significant relationship was found between Litecoin whales and tweets. The forecasting error resulting from our ARIMA (0,0,0) models was 0.08% (with Litecoin) and 0.22% (with Dogecoin). Therefore, those are just the beginning of scientific findings that may lead to building a trading robot based on these results. However, in itself, this study is only for academic discussion, and conclusions need to be drawn by further research. The authors cannot be liable if any financial investment is made based on its conclusions.

Detailed Token incentives metrics and analytics for Litecoin, including historical data and trends.

LTC Properties Capitalización De Mercado - Los valores actuales, los datos históricos, las previsiones, estadísticas, gráficas y calendario económico - Dec 2025.Data for LTC Properties | Capitalización De Mercado including historical, tables and charts were last updated by Trading Economics this last December in 2025.

LTC Properties القيمة السوقية - القيم الحالية، والبيانات التاريخية، والتنبؤات والإحصاءات والرسوم البيانية والتقويم الاقتصادي - Nov 2025.Data for LTC Properties | القيمة السوقية including historical, tables and charts were last updated by Trading Economics this last November in 2025.

In 2024, the market value of the global long-term care (LTC) market was forecast to reach ******* billion U.S. dollars, up from an estimated value of ******* billion dollars in 2022. By 2032, the LTC market worldwide is expected to reach nearly *** trillion U.S. dollars.