Official implementation for the OpenSoft 2026 Championship. This project is a self-contained, real-time simulated exchange ecosystem, integrating a high-throughput matching engine, a synthetic market generator, and automated trading bots.

Terminal Dashboard

• Video Walkthrough: Watch Terminal Demonstration (Google Drive)

Note: The following endpoints are active for the OpenSoft 2026 championship period only. Infrastructure will be decommissioned following the event.

• Trading Terminal: http://bull-api-lb-1041358976.ap-south-1.elb.amazonaws.com
• Engine API Health: http://bull-api-lb-1041358976.ap-south-1.elb.amazonaws.com:8080/health

High-performance, in-memory systems engineered in Go for minimal latency and zero external dependencies.

• Matching Logic: Implements a Limit Order Book (LOB) with strict FIFO Price-Time Priority. Core execution logic supports Limit, Market, and Stop-Limit order types.
• Price Synthesis: Implements a Geometric Brownian Motion (GBM) model using Square Root Diffusion to simulate continuous asset pricing: St = S_{t-1} * exp((μ - σ2/2)dt + σ√dt * Z).
• Order Generation: Dynamic side-population utilizing asset-aware quantity tiers (BTC vs. Sub-dollar logic) to maintain realistic liquidity.

Real-time trading environment built on Next.js, optimized for high-frequency data visualization.

• Visual Engine: Leveraging Lightweight-Charts for high-performance rendering of technical indicators (EMA 9/20/50, Bollinger Bands, RSI, MACD).
• Data Streaming: Bi-directional WebSockets (RFC 6455) hub for ticker tapes, live order book depth, and real-time P&L tracking.
• Execution Markers: Integrated WebSocket hooks that overlay real-time Buy/Sell Fill markers directly onto the candlestick series.

A modular set of automated agents running distinct algorithmic strategies against the matching engine:

• Market Maker Bot: Liquidity provision utilizing an Inventory Skew model to manage directional risk, with volatility-aware spreads controlled by Bollinger Band width analysis.
• Alpha Bot: Trend-following strategy using RSI(14) and EMA(9)/EMA(21) crossovers on 1-minute intervals, with automated 2% Stop-Loss and 4% Take-Profit triggers.
• Momentum Bot: High-frequency momentum strategy using MACD(12,26,9) crossovers filtered by a 50-period EMA trend line on 5-second charts.
• Mean Reversion Bot: Statistical arbitrage agent trading price deviations from normalized moving averages via Bollinger oscillators.

• Compute Specification: AWS ECS Fargate (ap-south-1 Mumbai) | 2 vCPU | 4GB RAM.
• Performance Scaling: Optimized to process and broadcast 50-100 orders/sec without stream degradation.
• One-Click Deployment: Entire ecosystem orchestrates via a single docker-compose up --build.