Comparative Analysis of Large Language Models in Live Trading Environments.

Each model ingests a structured data packet covering 5 hours of price action across three timeframes — 60-minute, 15-minute, and 5-minute candles — layered with a full technical indicator suite, a 5-day macro context window, and an AI-synthesized briefing of the current macro environment and economic calendar releases. The models don't just see raw numbers — they receive a pre-digested narrative of what's moving markets and why, the same way a senior analyst would brief a trading desk before the session opens.

• Multi-timeframe candles (5m, 15m, 60m) with EMA, ATR, MACD, RSI, Volume, VWAP
• Session structure: Tokyo, London, New York highs & lows with Fibonacci levels
• AI synthesis of macro environment, economic calendar, and intermarket correlations
• 5-day context: Oil, Interest Rates, DXY, Gold, NYAD, VIX with regime classification

Both models trade a controlled 3-hour window from 8:00 AM to 11:00 AM EST — after the opening volatility has settled and before the midday lull. High-impact news events are excluded entirely. Trades are executed on demo accounts hosted by Pepperstone Markets under standard institutional spread conditions. No human intervention — every entry, exit, stop loss, and take profit is decided autonomously.

This isn't a black box. When a model enters a trade, it publishes the complete decision chain: the macro regime classification it read (yields, DXY, VIX, oil), which AI agents agreed or disagreed on direction and at what confidence level, the structural framework it built from session highs/lows and Fibonacci levels, the multi-timeframe analysis across 60m, 15m, and 5m charts, and the exact entry trigger, stop loss, and take-profit targets with risk-to-reward scoring. Every trade is a full research document — not just a buy or sell signal.