[Press release · Seoul · September 26, 2026]
NoahAI Labs has simplified the first-time experience of its automated-trading software NoahAI. Users without a ready-made strategy can begin with baseline operation, while experienced users can bring in an idea, document or Pine strategy for review.
The v3.9.1.46 update replaces the blank starting point with three clear choices: baseline NoahAI, a guided example, or a user-owned strategy. It also separates observation, virtual practice and live trading so new users can understand what the software is doing before real money is involved.

Practice before using real money
LEARNING watches the market and records why a trade candidate was accepted or rejected without placing an order. PAPER then uses virtual money to record entries, exits and estimated costs. LIVE trading never turns on automatically; the user must connect an account, set risk limits and start it.
Plain-language explanations
The market-regime feature describes whether conditions look rising, falling, sideways or unusually volatile. The AI assistant explains recent signals and block reasons in context. It can organize a user's idea into an editable draft, but it cannot secretly save a strategy or start trading.
Working alongside TradingView
Users may bring Pine or TradingView strategy material into Strategy Studio to compare the source with the converted rules and add PAPER evidence. This is an import-and-review workflow, not direct TradingView webhook order integration.
Current release
This announcement covers public release v3.9.1.46. Cost-sensitivity comparison and expanded historical replay planned for v3.9.1.47 remain under development and are not included in the public installer.
This article describes product features, not investment advice or a promise of returns. Simulated results can differ from live trading.
Related tags
- #AI 자동매매
- #코인 자동매매 프로그램
- #주식 자동매매
- #NoahAI
- #노아에이아이랩스
- #시장국면
- #LEARNING 모드
- #PAPER 트레이딩
- #AI 트레이딩 봇
- #AI 어시스턴트
- #TradingView 전략 가져오기
- #Pine 전략 검증
- #Pine Script 전략
- #알고리즘 트레이딩
- #자동매매 전략 만들기


