QuantEdge Capital
How QuantEdge Capital Achieved 47% Annual Returns with AI-Powered Algorithmic Trading Platform
The Challenge
QuantEdge Capital, a mid-size quantitative trading firm managing $180M across U.S. equities and E-mini futures, was struggling with the limitations of manual strategy execution. Their team of four analysts ran 12 distinct multi-timeframe strategies across daily, 4-hour, and 15-minute charts, but human latency and emotional bias were eroding theoretical edge. During the 2024 Q3 volatility spike, manual execution slippage cost the fund an estimated $2.1M in missed entries and late exits. Their existing Pine Script indicators on TradingView were fragmented across individual analyst accounts with no version control, no centralized signal aggregation, and no systematic way to detect shifting market regimes. The firm needed a unified platform to automate execution, incorporate machine learning for real-time market regime classification, and provide a consolidated performance dashboard.
Our Solution
Macaw Digital Solutions engineered a full-stack algorithmic trading platform over a 14-week engagement. We audited all 12 existing Pine Script strategies, refactoring them into modular Pine Script v5 libraries with standardized input parameters, alert structures, and webhook output formats. Each strategy was back-tested across 8 years of data using walk-forward optimization. The core innovation was our AI/ML Signal Engine built on an XGBoost + LightGBM ensemble trained on 47 market microstructure features including volatility surface dynamics, order flow imbalance ratios, and options skew metrics. The model classifies market regimes into five states — momentum trending, mean-reversion, range-bound, volatility expansion, and crisis — with 83% out-of-sample accuracy. Strategy allocation weights dynamically adjust based on regime. For execution, we built a low-latency order management system in Python with asyncio-based connectors to Interactive Brokers TWS API, processing signals in under 40ms from alert to order submission with smart order routing splitting large orders across VWAP and TWAP algorithms. The Custom Dashboard in Next.js displays live P&L, per-strategy attribution, drawdown curves, regime classification, and risk utilization via real-time WebSocket feeds.
The Results
47.2%
Annual Return
+19.8% vs manual baseline
2.41
Sharpe Ratio
+0.87 from regime-aware allocation
6.3%
Maximum Drawdown
Down from 14.7% manual
<40ms
Execution Latency
From 4-8 min manual average
“Macaw Digital transformed our discretionary quant desk into a systematic powerhouse. The regime detection engine alone changed how we think about allocation — we stopped fighting the market and started adapting to it. The 47% return in year one speaks for itself, but the drawdown control truly impressed us.”
Jonathan Mercer
Chief Investment Officer, QuantEdge Capital
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