Quant Trading Agent

Quant Trading Agent is an autonomous AI trading desk designed to operate on a dedicated Alpaca paper-trading account. It works in two core modes: Entry and Defense. Entry Mode: The agent analyzes a focused set of proven technical indicators, including RSI, MACD, Bollinger Bands, and moving-average crossovers, to generate a bullish, bearish, or neutral market signal with a conviction score. When a trade opportunity is identified, the agent expresses that view through an options trade using a long call for bullish signals and a long put for bearish signals while selecting a real, tradable near-the-money contract. Defense Mode: Once positions are open, the agent continuously monitors portfolio risk, including capital at risk, realized volatility, and drawdown. It can automatically take profits, stop out losing positions, exit contracts approaching expiration, and deploy protective strategies such as a protective put, covered call, or two-leg collar when risk exceeds predefined thresholds. This continuous risk management is what makes the system more than a simple signal-generation bot—it functions as an autonomous trading desk. Every entry and defense decision is accompanied by a plain-language explanation generated by an LLM, with a deterministic fallback to ensure the system remains operational even when the LLM or network is unavailable. All decisions and trades are recorded in an auditable “Why this trade?” trail. The entire system is presented through a live trading terminal dashboard, featuring portfolio KPIs, interactive TradingView candlestick charts, an AI Council multi-agent decision panel, trade explorer, out-of-sample strategy lab, and a one-click watchlist scanner covering 20 tickers. The platform is deployed online through Streamlit Community Cloud.