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).