Random Walk Hypothesis

The random walk hypothesis posits that asset price changes are independent of past movements and therefore follow a random path that cannot be predicted. In an efficient market, any new information is immediately reflected in the price, meaning future price changes are only driven by future, currently unknown information.

While the crypto market often deviates from this due to behavioral biases and market inefficiencies, the hypothesis remains a foundational concept for quantitative finance. It challenges traders to prove that their strategies provide alpha rather than just capturing market beta.

It serves as a baseline against which the effectiveness of active management and arbitrage strategies is measured.

Market Efficiency Hypothesis
Pseudo-Random Number Generator
Monte Carlo Methods
Invariant Testing
Drift and Diffusion
Hypothesis Testing
Network Latency Optimization
Master Seed Generation