Merkle trees are important within the context of blockchain technology as they play a key role in ensuring these networks are both efficient and reliable. By understanding how a Merkle tree works we can gain a better understanding of how a blockchain functions.

Being able to capitalize on liquidity across any asset it’s key to understand why liquidity itself is so important and understand the potential behind it. No matter what the asset, there is a market for it.

Sharding is a technique specifically designed for database partitioning that aids in dramatically increasing the transaction rate on blockchains.

Game theory is the study of mathematical models of strategic interaction among rational decision-makers. This area of study provides a framework for many potential applications by relying on true information and possible outcomes between players.

The main objective behind ‘predictive modeling’ is to predict outcomes. It is the process of utilizing certain results to construct, process, and validate a model.

Synthetic assets have long been a mainstay of institutional traders. But now, as finance explores distributed systems and token-based finance applications, more people are gaining access to investment vehicles once only available to professional traders.

Prediction markets offer incredible value for accurate, fact-based information that is collected from a number of different sources.

Blockchain and Finance are made for one another. As further advancements of blockchain technology continue it's becoming hard to deny the power of blockchain technology.

Permissionless is a term that is closely tied to blockchain technology, but what exactly does it mean?

A detailed guide to decentralized exchanges that explains what they are and what makes them different from centralized exchanges.

Zero-knowledge proofs are a cryptographic function that allows for limited communication of value proofs.

How DeFi differs from Fintech and the evolution of decentralized finance.