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PROJ_DERIV-004
Derivatives Analytics AI
SaaS predictive analytics dashboard for Indian Derivatives (NSE) markets.
HARDWARE_STACK
FastAPI
Django
React
PostgreSQL
VIBE_CHECK
SYSTEM_STABILITY: OPTIMAL
USER_ENGAGEMENT: HIGH
LATENCY_METRIC: <50MS
DESIGN_STYLE: BRUTALIST
PROBLEM
Calculating Black-Scholes options Greeks (Delta, Gamma, Vega, Theta) on high-frequency NSE market ticks creates extreme CPU latency.
GOAL
Maintain sub-50ms data streaming latency during peak market volumes while calculating complex mathematical Greeks.
ARCHITECTURE
FastAPI server running LSTM models for market regime classification, pulling data from Redis cached tick buffers and sending metrics to a Django dashboard.
PERFORMANCE
Utilized python multiprocessing queues and fast math models to avoid GIL blocks and keep calculations asynchronous.
REVISIONv1.0.4-STABLE
ENGINE_TYPENEXT_JS_APP
UPTIME_PROB99.99%
LOAD_TIME342MS