Both Bitcoin and Kaspa grow as more users join their networks. The value of these networks often increases in a manner consistent with Metcalfe’s Law, which states that the value of a network is proportional to the square of its number of users. This relationship is a form of a power law, where network effects lead to exponential growth as more users participate.
The mining difficulty and hash rate in cryptocurrencies like Bitcoin and Kaspa adjust based on network activity. As more miners join, the difficulty increases to maintain a stable rate of block production. This self-adjusting mechanism creates feedback loops that can be described by power laws, ensuring the stability and security of the network over time.
Astrophysicist Giovanni Santostasi discovered that Bitcoin’s price follows a power-law distribution over time. This means that despite short-term volatility, Bitcoin’s long-term price behavior is predictable and adheres to specific mathematical patterns. Santostasi's model provides a framework for understanding Bitcoin’s price movements and forecasting future trends. He also discovered that Kaspa might be following a power-law aswell but it might be to early to tell because Kaspa hasn't been around for too long(2years).
As the price of Bitcoin or Kaspa increases, more resources are allocated to mining, leading to more sophisticated mining operations. This iterative process of investment and technological advancement follows a power-law pattern, driving the growth and stability of the network.
The theoretical price is computed using the Power Law formula. This formula is based on the number of days since Kaspa's genesis block, simulating an ideal price growth trajectory.
For each day, the actual price is compared against the power law price for a range of days around the current date. The Euclidean Distance in days is the smallest number of days (either past or future) where this deviation is minimized.
The raw deviations over a fixed window are scaled to fit within a range of -100, 100. This normalized value is then smoothed using a simple moving average to produce a more readable oscillator.
The oscillator's line color changes dynamically based on its value, providing an intuitive visual cue for traders.
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