Traidar
AI-powered trading platform
Charts, journaling, news, and AI insight in one connected workflow
Role
Co-founder & Designer
Research, product direction and design
The platform unifies everything a trader needs - portfolio performance, market context, chart analysis, journaling, strategy building, and AI insights into one connected workflow, helping traders understand why they're making decisions, improve consistency through behavioural awareness, and execute with greater clarity.
Most trading tools are fragmented - charts in one platform, journaling in another, news elsewhere, and performance data scattered across spreadsheets or broker dashboards. That disconnect makes it difficult to understand why certain decisions get made, or how market conditions, emotions, and behaviour shape results. Newer traders also struggle with information overload, unclear feedback loops, and the absence of actionable guidance.
The goal was to create a unified, AI-powered system that brings every part of the trading journey into one place. Synced trade and day logs capture both actions and behaviour, while AI agents interpret performance, psychology, charts, and news in real time. Natural-language charting and curated, asset-specific news keep traders focused, and strategies with automated reports help them track consistency over time. Everything works together to create a clear, connected workflow where each session becomes part of a continuous learning loop.