Asynchronous Byzantine Fault Tolerance (ABFT)

A Merkle proof allows for efficient and secure data verification in blockchain without requiring full access to the entire data structure.

A false breakout is common in volatile markets like cryptocurrencies, where the price of a digital asset can move beyond a significant support or resistance level (breaking out), only to quickly reverse and move back within the previous trading range.

In Modern Portfolio Theory, traders aim to achieve an optimal mix of assets that balances the potential for high returns with acceptable levels of risk despite the inherent volatility of the cryptocurrency market.

An Anti-Phishing Code is a security feature to help protect from phishing attacks, where users can verify the authenticity of communications they receive, particularly via email.

Cryptocurrency derivatives are financial contracts derived from the price of an underlying digital asset that allow traders to speculate on the future price movements of cryptocurrencies without actually owning the underlying assets.

Fraud proofs are an essential security mechanism that ensures trust in scalable blockchain solutions by detecting and penalising dishonest or erroneous activity without needing to immediately check every transaction.

The Fear & Greed Index provides insights for traders looking to time the market, offering a sense of whether conditions might be ripe for a correction or a potential rally.

Federated Byzantine Fault Tolerance (fBFT) is a consensus mechanism that enhances the scalability, speed, and security of blockchain networks by using a trusted set of federated nodes to validate transactions while maintaining fault tolerance against malicious behaviour.

A taker fee is the cost incurred by traders who execute orders that are immediately matched, removing liquidity from the order book.