Technical Documentation

Systematic Options Intelligence Whitepaper

Comprehensive documentation covering ecosystem architecture, analysis methodology, factor scoring, signal generation, greeks computation, smart money detection, and the complete HNI token utility model.

Version 1.0 · May 2026

01

Executive Summary

HNICalls Quant transforms raw options chain data from NSE into actionable trade signals using a multi-factor analysis engine. The system processes over 20 data points per instrument every polling cycle, delivering real-time market regime detection and structured trade signals with measurable accuracy targets.

02

System Architecture

Four core layers: Data Ingestion, Analysis Engine (PCR, OI concentration, IV skew, max pain, Greeks), Signal Layer, and Delivery Layer (WebSocket, dashboard, extension, Telegram).

03

Analysis Methodology

Six-factor analysis: PCR (OI & volume), OI concentration (z-score anomaly), Max Pain, IV skew, Delta/Gamma exposure, Smart Money Flow. Each factor independently scored.

04

Factor Scoring

Each factor scored -3 to +3 with weighted aggregation. OI-PCR (25%), OI Concentration (20%), IV Skew (20%), Max Pain Distance (15%), Delta Exposure (10%), Smart Money Flow (10%).

05

Trade Signals

ENTRY, ALERT, and EXIT signal types with confidence scoring. Generated when composite score exceeds thresholds with minimum 3 of 6 factors aligned.

06

HNI Token Utility

HNI is the ecosystem access token on BSC. Tiered access: Free (0 HNI), Gold (10,000 HNI), Elite (50,000 HNI), Pro (Custom). Future utility includes staking, governance, and copy trading.

Full Whitepaper Behind Login

Gold-tier access required to read the complete whitepaper with methodology details, performance metrics, and HNI tokenomics.