[Willy Woo: 5000 Simulations Project Bitcoin's Future Price Movements, Median Result in 2034 Reaches $1.48 Million] BlockBeats reported on October 27th that Bitcoin analyst Willy Woo introduced a BTC Monte Carlo simulation model inspired by Sminston With. This model uses a random number generator to generate price paths based on Bitcoin's historical market performance to simulate possible future price movements. Willy Woo stated that the model made three main adjustments: first, it incorporates the cyclical market structure of BTC; second, it reconstructs the true probability distribution of BTC based on historical data, rather than fitting it to a pre-defined ideal distribution; and third, it uses data from the market bottom in 2018 to the market bottom in 2022 as input, deliberately excluding earlier BTC market trends to better reflect the modern market environment influenced by derivatives, ETFs, and fast liquidation mechanisms. Furthermore, the model retains a power-law scaling mechanism to reflect the diminishing returns of each BTC cycle. Willy Woo specifically highlighted the simulated path at the 28th percentile because this path aligns with a pattern he observed: the next bottom may find support near the previous top. Previously, Sminston With shared another Monte Carlo simulation projecting BTC to 2034, running 5000 times. The results showed that no simulated price fell below the current level of approximately $80,000; the median result was approximately $1.48 million, and even the lowest 5% results reached approximately $464,000. It's important to note that these figures are simulation results based on specific assumptions and historical data, and are not deterministic price predictions. The model's conclusions are affected by factors such as input data, diminishing returns assumptions, and changes in market structure. [Original Link]