Source code for tensortrade.stochastic.utils.parameters

# Copyright 2019 The TensorTrade Authors.
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from random import uniform


[docs]class ModelParameters: """ Encapsulates model parameters """ def __init__(self, all_s0, all_time, all_delta, all_sigma, gbm_mu, jumps_lamda=0.0, jumps_sigma=0.0, jumps_mu=0.0, cir_a=0.0, cir_mu=0.0, all_r0=0.0, cir_rho=0.0, ou_a=0.0, ou_mu=0.0, heston_a=0.0, heston_mu=0.0, heston_vol0=0.0): # This is the starting asset value self.all_s0 = all_s0 # This is the amount of time to simulate for self.all_time = all_time # This is the delta, the rate of time e.g. 1/252 = daily, 1/12 = monthly self.all_delta = all_delta # This is the volatility of the stochastic processes self.all_sigma = all_sigma # This is the annual drift factor for geometric brownian motion self.gbm_mu = gbm_mu # This is the probability of a jump happening at each point in time self.lamda = jumps_lamda # This is the volatility of the jump size self.jumps_sigma = jumps_sigma # This is the average jump size self.jumps_mu = jumps_mu # This is the rate of mean reversion for Cox Ingersoll Ross self.cir_a = cir_a # This is the long run average interest rate for Cox Ingersoll Ross self.cir_mu = cir_mu # This is the starting interest rate value self.all_r0 = all_r0 # This is the correlation between the wiener processes of the Heston model self.cir_rho = cir_rho # This is the rate of mean reversion for Ornstein Uhlenbeck self.ou_a = ou_a # This is the long run average interest rate for Ornstein Uhlenbeck self.ou_mu = ou_mu # This is the rate of mean reversion for volatility in the Heston model self.heston_a = heston_a # This is the long run average volatility for the Heston model self.heston_mu = heston_mu # This is the starting volatility value for the Heston model self.heston_vol0 = heston_vol0
[docs]def default(base_price, t_gen, delta): return ModelParameters( all_s0=base_price, all_r0=0.5, all_time=t_gen, all_delta=delta, all_sigma=0.125, gbm_mu=0.058, jumps_lamda=0.00125, jumps_sigma=0.001, jumps_mu=-0.2, cir_a=3.0, cir_mu=0.5, cir_rho=0.5, ou_a=3.0, ou_mu=0.5, heston_a=0.25, heston_mu=0.35, heston_vol0=0.06125 )
[docs]def random(base_price, t_gen, delta): return ModelParameters( all_s0=base_price, all_r0=0.5, all_time=t_gen, all_delta=delta, all_sigma=uniform(0.1, 0.8), gbm_mu=uniform(-0.3, 0.6), jumps_lamda=uniform(0.0071, 0.6), jumps_sigma=uniform(-0.03, 0.04), jumps_mu=uniform(-0.2, 0.2), cir_a=3.0, cir_mu=0.5, cir_rho=0.5, ou_a=3.0, ou_mu=0.5, heston_a=uniform(1, 5), heston_mu=uniform(0.156, 0.693), heston_vol0=0.06125 )