AI-Quant Studio

AI-Quant Studio is a SaaS platform designed to revolutionize trading strategy

backtesting by enabling users (primarily non-coding retail traders and "prosumers") to

define, refine, and test strategies using a conversational AI interface based on Natural

Language Processing (NLP).

Problem: Traditional backtesting requires significant programming skills (Python, Pine

Script, MQL) or is limited to simplistic visual tools, creating a high barrier to entry for

systematic trading.

Solution: Our platform uses advanced Large Language Models (LLMs) via a chat

interface to translate natural language strategy descriptions into a structured JSON

format, which is then executed by our backtesting engine. This drastically speeds up the

idea-to-test cycle and democratizes systematic trading.

Target Market: Initially focusing on intermediate-to-advanced retail traders in Forex,

Crypto, and Equities who understand trading concepts but lack the time or expertise for

coding complex strategies.

Unique Value Proposition (UVP): The intuitive, conversational AI strategy builder,

combined with increasingly robust backtesting capabilities and analytics.

Current Stage: Functional Local MVP demonstrating core NL->JSON->Backtest

workflow, conversational chat UI, support for key indicators and advanced conditional

primitives (lookback, aggregation, arithmetic), short selling, and fractional sizing.

Problem Solved: Reduces the complexity, time, and coding expertise required for

quantitative backtesting, making systematic approaches accessible to a wider audience.

Addresses the frustration of translating trading ideas into testable code.

- Solution Details: A web-based platform featuring:

- Conversational AI Chat Interface (using Gemini 1.5 Pro).

- NL-to-Strategy JSON translation engine with post-processing and heuristics.

- Custom Backtesting Engine (Python/Pandas based - plan to integrate Backtrader

later).