Algorithmic Trading (BTC cycle)

ALGORITHMIC TRADING (CYCLE)

Algorithmic Bitcoin cycle trading refers to strategies that capitalize on the recurring price patterns observed in Bitcoin's market cycles. Bitcoin experiences cycles typically tied to its halving events, occurring roughly every four years. These cycles involve phases of accumulation, markup, distribution, and markdown.

Every four years, Bitcoin's block reward halves, reducing new supply. This historically triggers price increases due to reduced inflationary pressure.

Traders analyze historical data using tools like Elliott Wave Theory and the Network Value to Transaction (NVT) ratio to predict and navigate these cycles.

Understanding these cycles helps traders identify optimal entry and exit points, leveraging Bitcoin's predictable market behavior over time.

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