TradeLab - AI Trading Platform & Automated Chart Pattern Detection
Algorithmic pattern recognition and automated financial market analysis.
TradeLab
AI-Powered Trading Education & Multi-Market Analysis Platform
An all-in-one web-based educational and market analysis platform designed to simplify technical analysis and market literacy for retail market participants. It unites an 8-milestone progressive trading curriculum, real-time multi-market charting hubs (Crypto, Forex, and Indian Equities), computer vision chart pattern recognition (YOLOv5), a production-ready Pine Script v5 algorithmic indicator suite, and live financial RSS news feeds into a single dark fintech command center.
The Problem
Most public TradingView indicators overwhelm charts with excessive visual clutter, lagging repaints, and conflicting signals rather than providing clean, actionable trend structure.
Retail traders are forced to juggle disparate websites for live charting, session timing clocks, economic news feeds, and indicator scripts, creating a disjointed workflow.
Beginners face a steep learning curve identifying complex chart formations and risk management rules without a structured, step-by-step curriculum.
One Platform. Every Market.
TradeLab brings structured education, live multi-asset charting, and computer vision pattern detection together into a focused trader command center designed around five continuous stages:
Platform Subsystems
Step-by-step curriculum with interactive lesson modules, strategy blueprints, diagrams, and Investopedia references.
11 live TradingView pairs (BTC, ETH, SOL, ADA, etc.) with liquidation heatmap tools and real-time market data.
Live charts for major currency pairs (EUR/USD, GBP/USD, USD/JPY) plus Gold, Crude Oil, US30, and NASDAQ.
Dynamic charts for NIFTY 50, BANK NIFTY, SENSEX, and top blue-chip equities (Reliance, HDFC Bank, TCS, Infosys).
Custom-trained YOLOv5 model pipeline with 20 pattern classes, drag-and-drop uploader, and pan/zoom preview.
Copy-paste ready Pine Script v5 algorithmic code with Triple EMA ribbons, ATR trailing stops, and candlestick counters.
Asynchronous XML/RSS news ingestion via Python `feedparser` streaming real-time global macroeconomic headlines.
Comparative session breakdowns for New York, London, Tokyo, and Mumbai with volatility window indicators.
The 8-Milestone Structured Curriculum
Order types, bid/ask spreads, market participants, and multi-asset class mechanics.
Support and resistance levels, trendlines, and Higher-High / Lower-Low price action structure.
EMA ribbons, RSI divergences, MACD crossovers, and Bollinger Band volatility breakouts.
Head & Shoulders, Double Tops/Bottoms, Triangles, Wedges, and Flag breakout strategies.
1:2+ Risk-to-Reward rules, stop-loss calculations, portfolio drawdown protection, and capital preservation.
FOMO mitigation, revenge trading avoidance, and maintaining disciplined execution consistency.
What Makes TradeLab Different
TradeLab bridges theory and practice: instead of reading static PDF guides, learners immediately cross-reference concepts against live TradingView charts, test automated Pine Script algorithms, and scan setups with computer vision AI.
Built With
Django powers the modular routing, multi-asset views, and server-side RSS feeds, while PyTorch / YOLOv5 provides the computer vision model architecture for chart pattern bounding. Embedded TradingView widgets deliver real-time multi-market data without expensive third-party data subscriptions.
Engineering Highlights
Custom object-detection weights (`best.pt`) trained on 20 classical candlestick pattern classes.
Extensible Django view hierarchy cleanly organizing Crypto, Forex, and Indian equity hubs.
Automated financial headline parsing using Python's `feedparser` streaming live macroeconomic news.
High-contrast dark-mode interface (`#0f1115` obsidian, neon cyan, emerald green) with mobile bottom app navigation.
The Product at a Glance
Future Scope & Enhancements
Simulated $10,000 cash balance, virtual order placement, and live unrealized P&L portfolio tracking.
Database-backed user profiles to save custom market watchlists, trade journals, and milestone checklist state.
Integrating Google Gemini API for an interactive market intelligence and technical analysis query assistant.
Outcome
TradeLab demonstrates full-stack software development and applied machine learning capabilities: synthesizing real-time financial market telemetry, structured technical analysis education, algorithmic indicator scripting, and computer vision chart pattern detection into a single, cohesive web platform.