Dawn provides an AI‑driven trading copilot for prediction‑market participants, turning plain‑English strategy descriptions into production‑ready Python code that runs autonomously in the cloud. The platform handles real‑time data ingestion, code generation, deployment, and fee‑free order execution, while offering paper‑trading, backtesting, and performance monitoring tools.
Funding
Funding not disclosed
Founders
Product
Problem
Traders in prediction markets must manually monitor diverse data sources, write custom code, and manage continuous execution to act on emerging information, which is time‑consuming and requires programming expertise.
Solution
Dawn offers an AI‑driven trading copilot that lets users describe prediction‑market strategies in plain English. The platform automatically converts these descriptions into production‑ready code, deploys the strategy to cloud infrastructure, and executes trades 24/7 based on real‑time headlines, feeds, and signals from across the internet. Users can test and debug strategies with paper trading, monitor performance through a unified terminal, and retain all profits thanks to a fee‑free execution model. By handling data ingestion, code generation, and order execution, Dawn enables rapid, data‑driven decision making without requiring programming skills.
Target Audience
Primary customers are individual and institutional traders who participate in prediction markets and seek to automate strategy execution without writing code.
Features
- Natural‑language interface that transforms plain‑English strategy descriptions into executable Python code
- Real‑time monitoring of headlines, market feeds, and custom signals across the web
- One‑click deployment of autonomous trading agents on Dawn’s cloud infrastructure
- Integrated sandbox for paper trading, backtesting, and live debugging of strategies
- Sub‑second order execution with no platform fees, allowing users to keep 100% of profits
- Built‑in wallet management and secure connectivity to prediction‑market platforms