AI-powered trading copilot built for the Nostr protocol. Upload chart screenshots for technical and fundamental analysis, publish trade signals as Nostr events, and manage risk with structured trade plans.
OpenSignal is an AI-powered trading copilot built for the Nostr protocol. Upload chart screenshots for technical and fundamental analysis, publish trade signals as Nostr events, and manage risk with structured trade plans.
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Includes Google Play services and Firebase components for ML Kit text recognition. Uses the internet to upload chart screenshots to Blossom servers and publish signals via Nostr relays.
Release notes
🎯 Release Highlights
Core Features
- Kotlin Multiplatform (KMP) architecture with shared domain logic across Android and Desktop
- Dual Authentication paths:
- Nostr
nseckey login - External signer/hardware wallet support
- Nostr
- Screenshot-to-Signal pipeline with AI-powered chart analysis
- Nostr Native signal publishing and relay management
- Blossom NIP-96 media upload integration
- Technical + Fundamental analysis with risk-managed trade generation
📦 What's Included
Modules
Frontend Clients
- desktopApp - Compose Desktop application with full analysis UI
- androidApp - Android Compose shell (framework foundation ready)
Shared Libraries
- shared - Domain models, use-cases, risk engine, and settings repository
- nostr - Nostr protocol: authentication, signing, event building, relay management
- blossom - NIP-96 media upload client and Blossom server integration
- charts - Compose chart rendering with technical analysis overlays
- ai-inference - ONNX model contracts and inference pipeline hooks
Backend Services
- ai-service - FastAPI Python service for vision-based chart analysis
- ai-training - Model training and ONNX export pipelines
AI Models
- candle_detector - Detects candlestick patterns and formations
- liquidity_sweep - Identifies liquidity sweep events
- structure_detector - Recognizes structural breakouts
- trend_classifier - Classifies market trend direction
- yolov5n - Base object detection model
- resnet50-v2 - Feature extraction backbone
Utilities
- dataset - Synthetic dataset generation with YAML configuration
🔄 Core Workflows
Desktop Application Flow
1. User Login (Nostr nsec or external signer)
2. Screenshot Selection & Upload
3. AI Vision Analysis (vision analyzer processes chart)
4. Technical Signal Generation (trend, patterns, levels)
5. Fundamental Analysis Integration
6. Risk-Managed Trade Plan (buy/sell options with sizing)
7. Nostr Event Publishing
8. Signal Visualization & Presentation
AI Service Pipeline
Chart Screenshot
├─→ Candle Detector (pattern recognition)
├─→ Liquidity Sweep Detector (sweep identification)
├─→ Structure Detector (breakout detection)
└─→ Trend Classifier (direction classification)
↓
Technical Analysis Summary
├─→ Support/Resistance Levels
├─→ Structure Events
├─→ Liquidity Sweeps
└─→ Trend Direction
Fundamental Analysis
Risk Engine
├─→ Position Sizing
├─→ Buy Options Generation
├─→ Sell Options Generation
└─→ Risk/Reward Calculation
↓
Trade Signal JSON → Nostr Event → Relay Publishing
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