Quant BDM
April 5, 2026
TypeScript
Vite
React
Tailwind CSS
Shadcn UI
Zustand
React Query
Chart.js
Recharts
Fastify
Node.js
Prisma
PostgreSQL
Project Overview
Quant BDM is a comprehensive stock analysis platform specifically designed for the Indonesian stock market (IHSG). It combines technical analysis, bandarmology (broker analysis), and volume price analysis to provide deep market insights.
- Technical Analysis: Advanced charting with multiple indicators and price patterns.
- Bandarmology: Broker accumulation, distribution, and inventory analysis.
- Volume Price Analysis (VPA): Smart money detection through volume and price relationship.
- Stock Screener: Filter and discover stocks based on custom criteria.
Core Features
The platform provides professional-grade tools for stock market analysis:
- Dashboard: Overview of market conditions, watchlist stocks, and key metrics.
- Stock Detail: Comprehensive analysis view for individual stocks with charts and indicators.
- Broker Analysis: Track broker activities, accumulation patterns, and inventory levels.
- Screener Analysis: Filter stocks based on technical and fundamental criteria.
- Watchlist: Monitor selected stocks with real-time updates.
- Demo Trading: Practice trading with virtual capital before risking real money.
Technical Architecture
Built with modern web technologies for optimal performance:
- Vite: Lightning-fast development server and optimized production builds.
- React 19: Latest React features for building interactive user interfaces.
- TypeScript: Type-safe development with full TypeScript support.
- Tailwind CSS 4: Utility-first CSS framework for rapid UI development.
- Shadcn UI: High-quality, accessible UI components.
- Zustand: Lightweight state management for global application state.
- React Query: Data fetching and caching for API interactions.
- Chart.js & Recharts: Advanced charting capabilities for financial data visualization.
Analysis Capabilities
Quant BDM offers specialized analysis tools for the Indonesian market:
Bandarmology Analysis
- Broker Accumulation: Track which brokers are accumulating specific stocks.
- Broker Distribution: Identify when brokers are distributing holdings.
- Inventory Analysis: Monitor broker inventory levels and changes.
- Cohesion Analysis: Analyze broker behavior patterns and coordination.
Volume Price Analysis (VPA)
- Smart Money Detection: Identify institutional buying and selling patterns.
- Whale Detection: Track large volume transactions and their market impact.
- Retail Exhaustion: Recognize when retail investors are running out of steam.
- Floor Price Analysis: Determine support levels based on volume clusters.
Technical Analysis
- Historical Price Charts: View price history with various timeframes.
- Indicators: Apply technical indicators for trend analysis.
- Pattern Recognition: Identify chart patterns for trading decisions.
Use Cases
- Retail Investors: Analyze stocks before making investment decisions.
- Traders: Use technical and volume analysis for short-term trading.
- Analysts: Conduct in-depth research on stock movements and broker activities.
- Portfolio Managers: Monitor portfolio stocks and market conditions.
- Students: Learn about stock market analysis techniques.
Benefits
- Comprehensive Analysis: All major analysis types in one platform.
- IHSG Focus: Specifically designed for Indonesian market characteristics.
- Real-time Data: Access to current market data and broker activities.
- User-friendly Interface: Clean, modern UI with intuitive navigation.
- Demo Trading: Risk-free practice environment for learning.
Summary
Quant BDM provides a powerful, all-in-one solution for Indonesian stock market analysis. By combining technical analysis, bandarmology, and volume price analysis, it offers traders and investors the tools they need to make informed decisions in the IHSG market.