Quant Models Live Dashboard
Macro Regime Momentum Strategy
A regime-momentum strategy built on the global liquidity index and the 26 quantitative risk logic gates, capturing central-bank balance-sheet expansion and front-end asset trends in real time.
Volatility Surface Mean-Reversion Strategy
Tracks 0DTE option GEX skew and IV-surface dislocations, automatically running delta-neutral hedges when dealer short-gamma squeezes appear.
Every algorithm model, Python listing and risk logic gate shown in this area is provided for quantitative systems-engineering and information-technology education only. It constitutes no investment advice, solicitation or operating guidance for any financial asset.
Architecture & Engineering Sandbox
Alpha Lab core quantitative curriculum and algorithm modules are in development — a hands-on teaching sandbox for institutions and quantitative traders, covering strategy backtesting, dynamic risk-rule configuration and multi-agent consensus telemetry.
# ALPHA SENTINEL // ALGO WORKSHOP PREVIEW
import alpha_sentinel as alpha
def evaluate_regime(telemetry_feed):
if telemetry_feed.get_net_liquidity() > 75:
return alpha.SIGNAL_EXPANSION_SQUEEZE
return alpha.SIGNAL_DEFENSIVE_HOLDUpcoming Engineering Modules
Python & Rust Vector Backtester
High-frequency vector backtester supporting market impact and slippage simulation.
26 Logic Gates Risk Sandbox
Interactive visual logic gate builder with parametric circuit breakers.
Multi-Agent Telemetry Pipeline
Sub-millisecond WebSocket streaming architecture for live consensus arbitration.
Risk Parity Macro Optimizer
Black-Litterman model integrated with central bank liquidity feeds.