The influence of high-frequency data on price fluctuations

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The influence of high-frequency data on price fluctuationsBitcoinCRYPTO:BTCUSDjiangjinzee54e71e3ce14449dMajor Datasets for Price Trend Analysis: Types, Sources, and Applications 1. Financial and Market Datasets Stock and Equity Markets: Source: Bloomberg Terminal, Yahoo Finance, Alpha Vantage (API), Reuters Eikon. Data Structure: Time-series data (daily/intraday prices, trading volumes, market capitalization) for stocks, indices (e.g., S&P 500, NASDAQ), and commodities (gold, oil). Use Case: Analyzing stock price trends via technical indicators (MACD, RSI) or fundamental analysis, predicting market volatility using GARCH models. Cryptocurrency Markets: Source: CoinGecko, CoinMarketCap, Binance API, Kaiko (professional crypto data). Data Structure: Real-time or historical price data for cryptocurrencies (BTC, ETH), trading pairs, order book depth, and blockchain transaction metrics. Use Case: Studying price trends in decentralized markets, evaluating correlations with traditional assets, or developing algorithmic trading strategies.