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
AI trading with machine learning models
Copy Bot: one-on-one trader copying
Dollar Cost Averaging (DCA) bot
Trailing stop and trailing buy orders
Portfolio bot for diversified management
Paper trading with real-time data
Backtesting historical performance
Strategy Designer: no-code algorithm builder with 130+ indicators
Market Making and Arbitrage tools
Trading Terminal: multi-exchange dashboard
Smart Trade entry with triggers and conditions
Signals marketplace and strategy templates
Short selling and margin trading support
Cryptohopper MCP for AI/LLM integration
Integration with n8n, Zapier, Make for no-code workflows
