Built for Deterministic Execution
We build translation infrastructure converting raw corporate events into clean options and equity signals without AI hallucination.
Our Core Philosophy
Most modern fintech portals feed raw filings into general-purpose LLMs and execute trades based on black-box sentiment. In live markets, this approach is capital suicide. Optimistic press releases and complex CEO supply-chain commentaries trigger false positives, leading to rapid drawdowns.
No Black Boxes
At Candlery, we treat language models strictly as parsing compilers—never as decision makers. The AI's only job is to translate unstructured text into standard, structured JSON intent payloads.
The Hard-Coded Firewall
Every trade signal must pass through our hard-coded, non-AI Quantitative Risk Firewall. If a parsed intent lacks historical precedence or violates safety gates, it is silently rejected. We prefer missed opportunities over capital destruction.
{ capex_increase: 0.12, risk_disruption: false }.Our Core Principles
Deterministic Firewalls
We refuse to trade on black-box sentiment. Every extracted signal passes through code-level verification gates, matching with mathematical historical precedents before order compilation.
Sub-Millisecond Ingestion
Our ingestion crawlers bypass standard browser pipelines, fetching BSE/NSE filings and SEC disclosures at the wire to parse corporate disclosures before they impact market quotes.
Developer-First Architecture
Built by systems architects and quantitative engineers, the Candlery platform exposes high-fidelity sandbox APIs, detailed JSON event structures, and direct FIX connectivity.
Our Journey & Iterations
Event-Driven Signal Engine (V3)
The current state of Candlery. We expanded the deterministic parser to support Futures & Options (F&O) hedging strategies, compiling corporate news directly into complex options legs.
We added real-time scraping nodes for India-specific filings (BSE/NSE announcements), launched the institutional cockpit interface for auditor reviews, and proved the Event-Drift strategy backtest at a 2.42 Sharpe Ratio.
People
Charan Dubey
Charan founded Candlery to establish a zero-hallucination execution standard for retail and institutional traders in India. With a background in systematic software engineering and quantitative data parsing, he steers the platform's vision of converting corporate announcements into machine-ready signals. Outside of Candlery, he is an avid reader and table tennis enthusiast.