The Axiom Python SDK allows quants to offload heavy stochastic workloads to our GPU-accelerated cloud.
pip install axiom-quant-core
Initialize the session using your institutional ELA (Enterprise License Agreement) credentials.
from axiom import Session
# Connect to the Singapore Edge Node
session = Session.connect(
api_key="ax_live_88392_x9s",
region="ap-southeast-1"
)
portfolio = session.load_portfolio("life_annuities_v4.json")
result = session.compute_scr(
model="constrained_gan_v2",
simulations=1_000_000,
stress_test="2008_financial_crisis"
)
print(f"Projected Capital Buffer: {result.buffer_ratio}%")
Submits a portfolio for high-speed neural simulation.
{
"portfolio_id": "port_9982",
"engine": "axiom-accelerated-v2",
"parameters": {
"volatility_surface": "implied_market_avg",
"correlation_matrix": "dynamic_2024"
}
}
Returns a Merkle Proof of the model state at the time of calculation for regulatory verification.