How Data Analytics Is Transforming Institutional Trading Desks In cryptocurrency, data analytics involves examining patterns or trends that can help inform decision-making. Data analytics enables traders to optimize their strategies and execution, gaining a competitive edge. Artificial intelligence (AI) and machine learning (ML) aim to take analytics even further. Traders build and run bots that automatically assess data and make trading decisions. High frequency and automated trading can increase the speed of transactions, which is especially valuable when it comes to crypto, as markets are extremely volatile.
Amberdata Digital Asset Snapshot: Sui Blockchain Recovery, Tokenized Stocks, & Bitcoin Volatility It’s been a landmark week in crypto. Trump now backs Bitcoin, Kraken launched tokenized stocks, and the Ethereum-based Risk Harbor DAO voted to reverse a $160M exploit — a first-of-its-kind move. Meanwhile, whale moves and new ETFs pushed Bitcoin above $110K. Learn more in this week's snapshot:
Amberdata Derivatives Newsletter: Circle IPO, Fed Signals, & Trade Setups From a surprise NFP beat to Circle’s explosive IPO and Coinbase’s Deribit acquisition, macro and crypto markets delivered key signals last week. With inflation data ahead and ETF catalysts on the horizon, institutional momentum is building. Read the Amberdata Derivatives newsletter for the full breakdown, trade setups, and charts.