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TradingView strategy layer
Pine Script indicators, strategies, signals and alerts create a practical event-driven automation flow.
Project overview
An upcoming cloud-native algorithmic trading project where contributors can explore event-driven APIs, AI signal validation, market data, and portfolio analytics.
Tradex is planned as a dashboard for strategy management, analytics, trade history and portfolio tracking, built with React, TypeScript and Tailwind CSS.
FastAPI and Python power webhook handling, strategy APIs, user APIs, trade APIs and analytics. PostgreSQL stores users, trades, strategies and performance records, while Redis handles live prices, sessions, open positions, caching, pub/sub and rate limiting.
The AI layer starts with Scikit-Learn, Random Forest and XGBoost for probability and confidence scoring, with a future PyTorch layer for LSTM and Transformer-based forecasting.
Pine Script indicators, strategies, signals and alerts create a practical event-driven automation flow.
Webhook, strategy, trade, user and analytics APIs coordinate the backend platform.
Planned integrations create opportunities to learn external APIs, data normalization, caching and reliability.
Execution support is planned as an architecture exercise across crypto, forex and stock workflows.
Machine learning models score probability and confidence before automation decisions.
Risk alerts and trade updates create practice around event queues, notifications and user-facing feedback loops.
The contributors behind the build and the engineering areas they owned.
Advises on platform architecture, trading workflows and technical direction.
Works across engineering features and quality practices for the platform.
Supports feature development, validation and QA for trading workflows.
Supports market data, analytics pipelines and database-backed trading insights.