Introducing Balance Watcher: Smart Real-Time Balance Surveillance in the Market-Making Bot

In algorithmic market making, bot performance and risk awareness are paramount. Balance Watcher is a real-time balance monitoring module designed to safeguard funds and improve bot reliability under volatile market conditions. It ensures a market-making bot does not operate blindly when unexpected events affect balances.

Market makers operate in environments where rapid price swings, aggressive bot strategies, API errors, or exchange outages can dramatically affect account balances. Traditional systems often resume trading without evaluating whether conditions are safe, leaving funds exposed. Balance Watcher continuously supervises account balances and compares live data to defined historical benchmarks. If something goes awry, it steps in with alerts and preventive actions rather than letting the bot run unchecked.

The system tracks the latest asset balances alongside price movements, comparing this data to a stored reference snapshot to detect abnormal behavior. It watches for unexpected drops beyond what market movements would justify, including situations like sudden liquidity gaps or hostile bot activity. When an anomaly is detected, Balance Watcher sends detailed alerts with context, helping operators make informed decisions quickly. Depending on configuration, it can pause all bot activity or enter a safe mode with constrained risk exposure.

Balance Watcher combines two key monitoring techniques. The first is absolute base currency tracking, which evaluates direct decreases in your settlement currency (like USDT or BTC), often signaling unplanned asset usage or losses. The second is normalized combined balance tracking. By converting token balances into a common reference, the system estimates where your total value should be given current prices. If your actual balance falls below this expected value by defined thresholds, an alert triggers.

This dual approach catches both obvious and subtle balance anomalies with resilience even during normal market volatility. For more technical details and settings, see the feature description on GitHub for the ADAMANT tradebot.