Features
AI market analysis with multi-LLM ensemble voting and confidence calibration
Python-native indicator strategies (open_long/close_long/open_short/close_short)
Event-driven ScriptStrategy with explicit trade intents
Deterministic backtesting with commission and slippage modeling
Grid, Martingale, Trend Following, and DCA trading bots
Live trading execution with restart resilience and signal modes
Self-hosted infrastructure (Docker Compose: Flask, PostgreSQL 16, Redis, Nginx)
Multi-user PostgreSQL backend with role-based access and OAuth (Google/GitHub)
Billing system with memberships, credits, and USDT payments
Alerts via Telegram, Email, SMS, Discord, and Webhook
Mobile web app and native Android build (iOS coming soon)
Charts and portfolio dashboard with equity curve and win rate
Strategy code hash and config snapshot for reproducibility
6+ LLM provider integration (OpenAI, Claude, Gemini, DeepSeek, Grok)
MCP server for AI agent integration with Cursor, Claude Code, and Codex
Build custom RAG-based AI agents for crypto analysis
Per-indicator data: RSI, MACD, Volume, MA, News
AI-generated trading signals: Buy, Sell, Hold
Portfolio registration and tracking
Telegram signal integration
No-code agent creation via web interface
Test mode for one-shot analysis without ongoing run
Exchange API key linking for automated trading
Configurable failure handling: stop, retry 3 times, notify only
TRAG Coin rewards for community activity and airdrops
POINT credit system for future paid features
7-day refund on unused POINT charges
30-day notice for price/policy changes
Future expansion to US stocks (announced)
