Analyzethe patterns.
Activateyour edge.

Your folder of screenshots is a graveyard of missed opportunities. SetupsGalore transforms those static images into a queryable database. Instead of scrolling through hundreds of folders, you can filter by R-multiple, win rate, setup type, or sector in seconds. Want to see all your flag breakouts that hit 3R+? Done. Need to analyze which sectors performed best in Q4? One click. Your folder can't tell you which patterns actually work—SetupsGalore quantifies your edge.

Absolutely. Privacy is your edge. Every collection defaults to private, and you control the visibility. Your analytics, R-multiples, and performance metrics are yours alone unless you choose to share. You can keep your proprietary setups locked down while still leveraging the full analytics engine. Think of it like a private trading journal that happens to have GitHub-level organization.

Most traders can migrate 50-100 trades in under an hour. Our bulk upload feature lets you drag-and-drop multiple images at once, and the rigid field schema keeps data entry consistent. If you're coming from Excel, you can copy-paste your existing data. The real time-saver is the queryability—what used to take hours of manual filtering now happens in milliseconds. Your first collection is usually the slowest; after that, the workflow becomes muscle memory.

Forking lets you copy someone else's public playbook into your own workspace. When you fork a collection, you get a complete copy with all the trades, images, and structure—but it becomes your own. You can modify it, add your own trades, and track your performance against the original. It's like GitHub for trading: learn from others' setups, adapt them to your style, and build on proven patterns. The original playbook stays intact, and you get your own version to experiment with.

Currently, SetupsGalore is manual entry—and that's intentional. We're built for discretionary traders who want to capture the nuance that automated systems miss: entry reasoning, exit psychology, and the "why" behind each trade. Manual entry forces you to think critically about each setup, which improves pattern recognition. That said, we're exploring broker integrations for Phase 3. For now, think of manual entry as a feature, not a bug: it's your trading journal, not a trade copier.

Your data is yours. You can export your collections at any time in standard formats (CSV, JSON). We're not a walled garden—if you want to leave, your trading journal comes with you. No vendor lock-in, no data hostage situations. We're building a tool traders trust, and that starts with data portability.

We treat your trading data like you would: with extreme care. All data is encrypted in transit and at rest. Private collections are never exposed to other users, and we don't sell or share your data. Your edge is your intellectual property, and we respect that. We use industry-standard security practices and regular audits. You can read our full privacy policy, but the short version: your setups stay yours.

Yes—with granular control. You can invite specific traders to collaborate on collections, set permissions (view-only, edit, or admin), and work together on shared playbooks. This is perfect for trading groups, mentors and mentees, or teams analyzing the same setups. Each collaborator can add trades, annotate images, and contribute to the analytics. It's like Google Docs for trading playbooks, but built for traders who understand the value of structured data.

That's exactly what collections are for. Create separate collections for each strategy: "Episodic Pivots 2024," "Momentum Breakouts," "Options Plays Q1," etc. Each collection has its own analytics, so you can compare performance across strategies. Want to see if your swing setups outperform your day trades? Filter and compare. Collections let you organize your edge by whatever taxonomy makes sense for your trading style.

SetupsGalore is fully responsive and works great on mobile browsers. You can view your collections, check analytics, and even add trades on the go. The interface adapts to smaller screens without losing functionality. While we don't have native mobile apps yet, the web experience is optimized for touch and mobile workflows. Most traders use desktop for deep analysis and mobile for quick entries or checking performance on the fly.