The Litecoin cryptocurrency peaked in both 2017 and 2020, reaching prices worth around 250 dollars, but did not reach this by 2022. As of July 30, 2025, one Litecoin token was worth 108.52 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.

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.

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 LTC-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!

The dataset used in this research is a historical record of Bitcoin, Ethereum, and Litecoin’s daily trading activity, containing essential financial metrics for each date. This sample includes the following columns: Date: The specific day of each recorded entry, showing a continuous timeline. Open: The price of currencies at the start of the trading day. High: The highest price of currencies reached during the day. Low: The lowest price of currencies traded throughout the day. Close: The closing price of the currencies at the end of the trading day. Volume: The total trading volume, indicating the number of currencies traded that day in units. Market Cap: The total market capitalization of currencies, calculated as the total supply multiplied by the closing price.

O rastreamento do histórico de preços de Litecoin Cash permite que os investidores em criptomoedas monitorem facilmente o desempenho de seus investimentos. Você pode acompanhar de forma conveniente o valor de abertura, a máxima e o fechamento de Litecoin Cash ao longo do tempo, bem como o volume de trading. Além disso, você pode visualizar instantaneamente a variação diária como porcentagem, o que facilita a identificação de dias com flutuações significativas. De acordo com nossos dados do histórico de preço de Litecoin Cash, seu valor subiu para um pico sem precedentes em 2018-02-23, ultrapassando $7.75 USD. Por outro lado, o ponto mais baixo na trajetória de preços de Litecoin Cash, comumente chamado de "mínima histórica de Litecoin Cash", ocorreu em 2020-11-01. Se alguém tivesse comprado Litecoin Cash durante esse período, teria atualmente um lucro notável de 201%. Por padrão, 814,509,574.96 Litecoin Cash será criado. No momento, a oferta circulante de Litecoin Cash é de aproximadamente 814,509,600. Todos os preços listados nesta página foram obtidos na Bitget, uma fonte confiável. É fundamental confiar em uma única fonte para verificar seus investimentos, pois os valores podem variar entre diferentes vendedores. Nosso conjunto de dados históricos de preços de Litecoin Cash inclui dados em intervalos de 1 minuto, 1 dia, 1 semana e 1 mês (abertura/máxima/mínima/fechamento/volume). Esses conjuntos de dados foram submetidos a testes rigorosos para garantir a consistência, a integridade e a precisão. Eles são projetados especificamente para fins de simulação de trading e backtesting, prontamente disponíveis para download gratuito e atualizados em tempo real.

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.

The Litecoin exchange market, while smaller than Bitcoin's, exhibits significant growth potential. Considering the overall cryptocurrency market's dynamism and Litecoin's established position as a faster, cheaper alternative to Bitcoin, we can project substantial expansion. Let's assume a conservative Compound Annual Growth Rate (CAGR) of 15% for the Litecoin exchange market between 2025 and 2033, based on the historical performance of similar altcoins and the anticipation of increased institutional and retail investor participation. This estimate takes into account potential regulatory hurdles and market volatility, common within the cryptocurrency sphere. Major players like Binance, Upbit, OKEx, and others already offer Litecoin trading, fueling competition and driving innovation within the exchange ecosystem. The market is segmented by trading volume, geographic location, and the type of exchange (centralized vs. decentralized). Growth drivers include increasing adoption of cryptocurrencies for payments, decentralized finance (DeFi) applications leveraging Litecoin, and the expanding global interest in digital assets. However, regulatory uncertainty in various jurisdictions, cybersecurity risks associated with cryptocurrency exchanges, and the inherent volatility of the cryptocurrency market remain significant restraints. The forecast period of 2025-2033 sees increased adoption of advanced technologies like blockchain analytics and AI-powered trading tools as further key drivers. Further growth hinges on several factors. The maturation of the cryptocurrency infrastructure, including improved regulatory clarity and the development of more user-friendly interfaces, will be pivotal. Successful integration of Litecoin into mainstream financial systems and its adoption by larger merchants could also significantly boost market size. Conversely, significant regulatory crackdowns or major security breaches within the exchange sector could negatively impact growth. The competitive landscape will remain dynamic, with existing players vying for market share and new entrants continuously emerging. The success of individual Litecoin exchanges will depend on their ability to innovate, offer competitive fees, enhance security, and provide a positive user experience. A focus on user education and risk management will also be essential to attract and retain a wider customer base. This combined analysis suggests substantial, albeit measured, growth for the Litecoin exchange market over the next decade.

This dataset supports the research article titled "A Hybrid SVR-Based Framework for Cryptocurrency Price Forecasting and Strategy Backtesting". It includes historical price data, technical indicator features, and visualization-ready data used in the study for four major cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and Litecoin (LTC).

The dataset consists of:

• Raw historical price data (CSV/Excel)

• Technical indicators used as input features for SVR modeling (e.g., MA, RSI, KD, MACD, Bollinger Bands, etc.)

• Data behind charts in the manuscript (e.g., predicted vs. actual prices, strategy-specific outputs)

All data are provided in CSV format with accompanying documentation for reproducibility. This repository is meant to ensure transparency, facilitate replication, and encourage future research based on SVR and crypto trading strategies.

LTC Properties reported 23 in Employees for its fiscal year ending in December of 2024. Data for LTC Properties | LTC - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last July in 2025.