Strategy Decisions

Complete transparency into your AI agent's decision-making process

🔍 AI Decision Transparency

Purpose: This page shows you every decision your AI trading agent makes, providing complete transparency into its decision-making process.

What you'll see here:

• Real-time decisions: Every buy, sell, or hold decision as it happens
• Detailed reasoning: Exactly why the AI made each decision
• Strategy breakdown: Which strategies voted and their weights
• Market context: Current market regime and conditions

Why this matters: Understanding your AI's logic helps you trust the system and learn from its analysis. You can see how different market conditions affect decision-making and track the agent's learning progress over time.

Timestamp	Action	Symbol	Detailed Reasoning
2026-10-16 22:29	HOLD	BTCUSDC	. Reasoning: No candidate consensus reached (need 0.3 weight, 2 net votes) Sell signals: - SELL ETHUSDC: 2 votes (['bollinger', 'macro_sentiment']) - 0 opposing = 1 net, 0.274 weight - 0.000 opposing = 0.274 net weight [raw 2.78/9.62] - SELL BTCUSDC: 1 votes (['macro_sentiment']) - 0 opposing = 0 net, 0.014 weight - 0.000 opposing = 0.014 net weight [raw 0.28/9.62]
2026-10-16 22:29	HOLD	ETHUSDC	. Reasoning: No candidate consensus reached (need 0.3 weight, 2 net votes) Sell signals: - SELL ETHUSDC: 2 votes (['bollinger', 'macro_sentiment']) - 0 opposing = 1 net, 0.274 weight - 0.000 opposing = 0.274 net weight [raw 2.78/9.62] - SELL BTCUSDC: 1 votes (['macro_sentiment']) - 0 opposing = 0 net, 0.014 weight - 0.000 opposing = 0.014 net weight [raw 0.28/9.62]

💡 Pro Tip: Use this page to understand your AI agent's behavior and learn from its market analysis.