From: Manipulation of the Bitcoin market: an agent-based study
Description of the parameter | Symbol | Value |
---|---|---|
Number of simulations | n | 100 |
Number of days | N | 425 |
Number of tics | T | 1440 |
Mean value Gaussian (limit price) distribution | \(\mu\) | 1 |
Variance of the Gaussian (limit price) distribution | \(\sigma\) | 0.1125 |
1st shape parameter of the Beta (limit price) distribution | \(\alpha\) | 2.85 |
2st shape parameter of the Beta (limit price) distribution | \(\beta\) | 1 |
Location parameter of the Beta (limit price) distribution | a | 0.015 |
Scale parameter of the Beta (limit price) distribution | c | 0.5 |
Mixture weight of the amount distribution | q | 0.05 |
Rate parameter of the Poisson distribution | \(\lambda _{P}\) | 2.0 |
Rate parameter of the Exponential distribution | \(\lambda _{E}\) | 1.0 |
Location parameter of the log-normal distribution | \(\mu _L\) | 1.5 |
Shape parameter of the log-normal distribution | \(\sigma _L\) | 0.1 |
Probability of the RA to issue an order | \(P_{RA}\) | 0.2583 |
Probability of the RSA to issue an order | \(P_{RSA}\) | 0.15 |
Probability of the CA to issue an order | \(P_{CA}\) | 0.03625 |
Belief of the CA that the price will drop | \(Q_{CA}\) | 0.0085 |
Size of the window of the returns | l | 6 |
Cash matrix scale parameter | s | 0.00172 |
LSE amount | \(\rho\) | 0.45 |
Intraday frequency of LSE orders | f | 25 min |