The average price of one Bitcoin Cash reached its all-time high in 2017, although the price since then never came close to that position. As of July 30, 2025, one Bitcoin Cash token was worth 563.47 U.S. dollars, rather than the nearly 2,500 USD from the peak in 2017. Bitcoin Cash, abbreviated as BCH, is a variant of the much more known Bitcoin, or BTC, and is traded separately on online exchanges. That the two cryptocurrencies are different from each other already shows when looking at the price of a 'regular' Bitcoin: this was over 40,000 U.S. dollars during the same time frame.

The latest closing stock price for Banco De Chile as of July 03, 2025 is 30.18. An investor who bought $1,000 worth of Banco De Chile stock at the IPO in 2002 would have $21,007 today, roughly 21 times their original investment - a 14.39% compound annual growth rate over 23 years. The all-time high Banco De Chile stock closing price was 31.69 on May 14, 2025. The Banco De Chile 52-week high stock price is 31.84, which is 5.5% above the current share price. The Banco De Chile 52-week low stock price is 22.05, which is 26.9% below the current share price. The average Banco De Chile stock price for the last 52 weeks is 25.80. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

Prices for SOLBCH Solana Bitcoin Cash including live quotes, historical charts and news. SOLBCH Solana Bitcoin Cash was last updated by Trading Economics this August 2 of 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

Prices for BCHUSD Bitcoin Cash / US Dollar including live quotes, historical charts and news. BCHUSD Bitcoin Cash / US Dollar was last updated by Trading Economics this August 1 of 2025.

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.

Is BCH Stock Expected to Go Up?

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

Historical price and volatility data for Bitcoin Cash in Russian Rubles across different time periods.

Prices for Bitcoin Cash - 환율 including live quotes, historical charts and news. Bitcoin Cash - 환율 was last updated by Trading Economics this August 1 of 2025.

Prices for Bitcoin Cash - Kurs including live quotes, historical charts and news. Bitcoin Cash - Kurs was last updated by Trading Economics this August 2 of 2025.