The market cap of Terra's UST stablecoin grew by *********** USD in March 2022 alone, a continuation of the growth since *************. Due to the coin's usefulness for Decentralized Finance or DeFi - the coin is effectively less volatile than other cryptocurrencies due to its design - the UST stablecoin and its supportive LUNA token were both among the top crypto in terms of market cap in 2022.

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

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

In May 2022, over ***** billion Terra Classic – the 1.0 version of LUNA - tokens were issued and went into active circulation in a few days. The cryptocurrency’s built-in algorithm triggered this correction following the coin’s significant price drop that month. Terra’s algorithm would "burn" (permanently destroying) LUNA so that it created something else instead: TerraUSD (UST), a stablecoin within the same blockchain. This automated system was meant to keep the price of UST level, potentially avoiding economic sentiment. Because of this initial promise of stability, Terra and its two coins initially played a significant role in crypto lending. The poster child of algorithmic stablecoins Up until May 2022, TerraUSD (UST) was the biggest stablecoin that functioned with an algorithm. At the end of April 2022, the market cap of TerraUSD – now TerraClassicUSD – was *** times larger than what it was one month later, comparable in size to Binance USD. Algorithmic stablecoins are relatively new and, as most stablecoins, have an external asset as collateral. Several of the biggest stablecoins in the world, for example, are backed by real-world U.S. dollar assets, such as cash or securities. Others – such as DAI – rely on the backing of other cryptocurrencies, such as Ethereum (ETH). TerraUSD had little to no backing, relying on a closed ecosystem. Reset or revival: The LUNA (2.0) aftermath Terra got reset on May 28, 2022: A new *** coin released – taking over the Terra (LUNA) name - whilst the "original" crypto was abandoned and became Terra Classic (LUNC). TerraUSD (UST) remained but became TerraClassicUSD (USTC). Several of the *** LUNA holders, however, hoped for a different solution, rather seeing the (***) coin’s supply be bought back by the company who issued them. The company would then burn them, hopefully restoring the price of the original LUNA. Do Kown, the CEO of the Terra system, stated his company did not have the funds for such a big undertaking. He instead shared a blockchain address on Twitter where individuals could burn their tokens themselves. By June 2022, roughly **** LUNA tokens were destroyed that way – a burn rate of roughly ***** percent compared to the overall circulating supply.

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.

Terra Property Trust (TPTA) Notes: A Safe Haven in a Stormy Market?

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

The share of stablecoins within the overall crypto market was below that of Ethereum (ETH) and Bitcoin (BTC). This would mark a significant rise of the digital asset, as earlier calculations from December 2021 indicated a stablecoin market share of seven percent. What may play a part in these figures is that "regular" cryptocurrencies such as Ethereum saw a significant decline in price between May and June 2022 - leading to their market cap to decline as well. Fiat-backed stablecoins like Tether, USD Coin and Binance USD, on the other hand, were not as impacted. That said, the crash of algorithmic stablecoin TerraUSD and its token Terra (LUNA) led to much uncertainty on whether non-fiat backed stablecoins could work.

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 share of stablecoins within the overall crypto market was below that of Ethereum (ETH) and Bitcoin (BTC). This would mark a significant rise of the digital asset, as earlier calculations from December 2021 indicated a stablecoin market share of ***** percent. What may play a part in these figures is that "regular" cryptocurrencies such as Ethereum saw a significant decline in price between May and June 2022 - leading to their market cap to decline as well. Fiat-backed stablecoins like Tether, USD Coin and Binance USD, on the other hand, were not as impacted. That said, the crash of algorithmic stablecoin TerraUSD and its token Terra (LUNA) led to much uncertainty on whether non-fiat backed stablecoins could work.

Tether and USD Coin form the majority of the overall stablecoin market, whilst algorithmic stablecoins are but a fraction of their size. Estimates are that Tether (USDT) alone - the most well-known stablecoin pegged to the U.S. dollar - makes up nearly **** of the stablecoin market cap in June 2022. The top three of these digital assets are all connected to the performance of the U.S. dollar, with Dai (DAI) being pegged to a different cryptocurrency, its so-called governance token MKR, or Maker. Algorithmic stablecoins - cryptocurrencies that do not use fiat currencies or other cryptocurrencies as their backing but instead rely on an algorithm to keep their price stable, similar to the design of TerraUSD (UST) and Terra (LUNA) - do not feature in the top five. FRAX combines elements of an algorithmic design but still contains a partial backing by collateral.

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.

TPTA Terra Property Trust Inc. 6.00% Notes due 2026

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

Terracom stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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).

The total value locked (TVL) in decentralized crypto lending platform Anchor Protocol grew by roughly ** percent within a month in 2022. The lending protocol was created within the Terra blockchain and launched in **********, first meant to support the demand for stablecoin TerraUSD (UST). One year later, it had already become one of the biggest DeFi platforms based on market cap. This popularity stems from the platform's promise to hand out a stable interest rate of nearly ** percent for those looking to stake cryptocurrencies - a percentage described by some as "a benchmark yield for the whole industry".

The market size of decentralized finance market size declined to less than ** billion U.S. dollars come April 2023. This is a significant change from 2021, when the size of the decentralized finance market reached heights it had not reached before. The DeFi market was especially impacted by the crash for Terra (LUNA) and its stablecoin TerraUSD (UST) in May 2022 - with uncertainty still being present in June 2022 when coins such as USDD lost their peg to the U.S. dollar. Moreover, a declining crypto market also impacts DeFi. As Ethereum is the main blockchain powering transactions for decentralized finance, price developments of this particular cryptocurrency can have a big impact. As of July 22, 2025, the market size has increased significantly to approximately ****** billion U.S. dollars.

The price of the native coin from BNB Chain (formerly BSC) grew by 50 percent in late 2021 but was much lower in 2022. On July 30, 2025, for example, a single BNB coin was worth more than 805.14 U.S. dollars - a value that is very different from the all-time high of 805.14 U.S. dollars in November 2021. Regardless, Binance Coin ranked in the top 10 most expensive cryptocurrencies in 2022. Noticeable is that the price increase of BNB in November 2021 coincides with a similar price change for Ethereum (ETH), a cryptocurrency where BNB initially originated in 2017 before coming to its own years later.BNB's history: From a reward token in 2017 to an ecosystem after 2019As the name suggests, Binance Coin, or BNB, originally started as an extension of the Binance.com trading platform, the most used cryptocurrency exchange in the world. It initially functioned on the Ethereum blockchain network as an ERC-20 token, offering incentives to owners like reduced trading fees, affiliate rewards, or a lottery ticket system ('Launchpad') that let users invest in new, Binance-selected crypto projects. In 2019, however, BNB moved away from the Ethereum network and migrated to Binance's self-developed blockchain: Binance Smart Chain, or BSC (called BNB Chain since February 2022). Here, BNB started to support a chain that initially did not focus on hosting decentralized apps but focused on high transaction speed and being able to handle large amounts of traffic.DeFi and GameFi: the main segments for BNBBSC, however, made significant strides in 2021, partly due to traffic overload and high gas prices on Ethereum, as well as the growing interest in both Decentralized Finance (DeFI) and NFTs. Much like Cardano, Solana, and Terra, Binance Smart Chain consequently became a valid alternative to Ethereum. The total value locked (TVL) of BNBs blockchain within DeFi, for example, ranked only behind that of Terra and Ethereum in early 2022. Another area where Binance's blockchain and token play a significant role is that of GameFi, or 'play-to-earn' blockchain games that are powered by cryptocurrencies. Some of the more well-known and most popular NFT games, like Alien Worlds and Axie Infinity, run on the blockchain behind BNB.