Blackbox

// Systematic Research Laboratory. Documenting the intersection of algorithmic trading, data architecture, and machine learning.

Trading Strategies

01

Mean Reversion Engine

ACCURACY: 68% | W/L: 1.8

High-Frequency Liquidity Execution System

An automated execution system focusing on gap-fill probability and statistical arbitrage in Indian equities. It utilizes low-latency listeners to monitor volatility expansion and execute trades with precision.

02

Sentiment-Sync V4

ACCURACY: 62% | W/L: 2.1

LLM-Driven News Arbitrage Pipeline

A sophisticated technical pipeline that processes real-time global news via private LLM instances. It correlates news embedding vectors with immediate price action to adjust market exposure automatically.

Research Dossier

FILE: DB-X09
Classified
JAN 2026AI RESEARCH

Quantifying Market Sentiment via LLM Pipelines

Exploring the correlation between real-time news embedding vectors and immediate price action in high-frequency environments.

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FILE: DB-S02
Classified
DEC 2025SYSTEMS ENG

Parquet vs JSON: Latency in Backtesting

A technical study on optimizing data ingestion speeds for multi-year tick data analysis using columnar storage formats.

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