Docklytics
Market-data and research engine for the Trading Dock vertical, with a multi-agent research layer planned.
The Challenge
The Problem Docklytics Solves
Trading analysts waste days cleaning fragmented market data feeds, synchronizing corporate action adjustments, and managing slow indicator calculations across large historical datasets.
Who It’s Built For
Designed specifically for teams experiencing bottlenecks in these areas.
Key Features & Architectural Highlights
Engineered for daily resilience, rapid response, and operational reliability.
Continuous Market Data Ingestion
Automated real-time tick and minute-candle ingestion pipelines with automated contract rollover, corporate action adjustment, and schema validation.
Vectorized Analytics & Volatility Surfaces
High-throughput pandas and NumPy computational pipelines calculating rolling volatility, range dynamics, and statistical indicators in milliseconds.
Strategy Backtesting Engine
Historical execution simulation across NSE/BSE equities, futures, and crypto data with realistic slippage, fee modeling, and risk attribution.
Autonomous Research Layer (Planned)
Multi-agent AI layer scheduled to synthesize end-of-day market disclosures, macro indicators, and price action into structured analyst briefs.
Under the Hood
Verified Production Stack
Built on battle-tested, maintainable technologies with zero speculative bloat.
Questions & Answers
Frequently Asked Questions about Docklytics
Practical details on implementation, architecture, and daily operations.
Is Docklytics an open trading advisory service?↓
What data sources does Docklytics process?↓
How does the strategy backtesting engine calculate slippage and fees?↓
Ready to Deploy Docklytics?
Connect directly with our engineering team to schedule a walkthrough, discuss custom factory specifications, or set up a pilot.