OpenSignal
opensignal.android
Turiz me@proofofink.art 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.
First release: Mar 10, 2026, 1 total release.
Most recent release: Mar 10, 2026.
Appears in 4 app stacks.
0 sats / 0 zaps received in the past year.
Sats Received
Underlying data available via MCP: app_zaps, app_releases.
Zap Count
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Releases
- Mar 10, 2026 1.0.0## π― Release Highlights ### Core Features - **Kotlin Multiplatform (KMP)** architecture with shared domain logic across Android and Desktop - **Dual Authentication** paths: - Nostr `nsec` key login - External signer/hardware wallet support - **Screenshot-to-Signal** pipeline with AI-powered chart analysis - **Nostr Native** signal publishing and relay management - **Blossom NIP-96** media upload integration
Moreβ¦
- **Technical + Fundamental** analysis with risk-managed trade generation --- ## π¦ 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 --- ## π 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 βββ Candle Detector (pattern recognition) βββ Liquidity Sweep Detector (sweep identification) βββ Structure Detector (breakout detection) βββ Trend Classifier (direction classification) β Technical Analysis Summary βββ Support/Resistance Levels βββ Structure Events βββ Liquidity Sweeps βββ Trend Direction Fundamental Analysis Risk Engine βββ Position Sizing βββ Buy Options Generation βββ Sell Options Generation βββ Risk/Reward Calculation β Trade Signal JSON β Nostr Event β Relay Publishing