Cryptocurrency markets have evolved from simple peer-to-peer trading networks into complex, data-driven ecosystems powered by automation. At the center of this transformation lies algorithmic ...

Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in ...

When first introduced, algorithms were designed primarily for automation to mimic a trader executing orders in pursuit of specific benchmarks. In the second phase, brokers stressed qualitative ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Algorithmic trading involves three broad areas of algorithms: execution ...

Algorithms and rule-based systematic trading systems have gone from representing near 30% of the market to now dominating where only 10% of those influencing the supply and demand balance decisions ...

As hedge funds increasingly turn to machine learning techniques in their trading strategies, regulators and clients are having to come to terms with money being managed by black box algorithms, so who ...

Market manipulation in the crypto market has moved into a completely new paradigm. While initial conversations were dominated by wash trading and fake volumes, modern market influence is now driven by ...

Editor's note: After our story on the odder types of robot traders, we planned to step back and explain standard high-frequency algorithmic trading strategies. As it turned out, Joe Flood, author of ...

Algorithmic trading in crypto leaves little room for error. A slow API, shallow order books, or unreliable execution can turn a profitable strategy into a losing one ...