Features

AI Model & Training

good.ai’s models are market-agnostic, meaning they are not restricted to specific assets or trading environments. The AI detects patterns, liquidity changes, and market shifts without being biased toward any single asset. This enables it to identify profitable trading opportunities regardless of market conditions, ensuring consistent adaptability. The AI’s learning process is continuous, refining its trading logic based on live market performance. Unlike rule-based systems, good.ai evaluates historical and real-time market data through backtesting and forward testing, allowing it to improve trade execution over time. The model also integrates risk sensitivity adjustments, modifying position sizes and entry points based on the level of exposure in any given market environment.

AI-Powered Trading & Execution

good.ai follows a low-frequency, high-precision trading model, executing approximately 3-5 trades per hour per market. This approach is designed to minimize slippage and optimize order placement, ensuring that trades are executed in highly liquid areas without disrupting price movements. AI-driven entry and exit decisions rely on real-time pattern detection, optimizing trade execution by aligning entries with favorable market conditions. Position sizing is dynamically adjusted based on execution feedback, further reducing unnecessary losses.

Unlike copy trading, good.ai executes individualized trades for each user. This prevents overcrowding in specific market positions and minimizes mass slippage risks that occur when multiple traders enter or exit trades simultaneously.

Portfolio Management & Optimization

The AI agent manages portfolio allocations dynamically, allowing users to customize their risk exposure based on their selected trading strategy. Whether a user prefers low, medium, high-risk, or degen trading, good.ai optimizes trade allocations accordingly. The agent continuously analyzes the user’s portfolio and suggests rebalances necessary, ensuring capital is distributed efficiently across different assets.

good.ai’s automated execution system enables seamless trading without manual intervention. Since trades are executed directly from a user’s wallet, there is no need for manual order placement. The agent adjusts trade execution based on real-time market conditions, ensuring that portfolios remain optimized and aligned with the user's risk profile.

Risk Reduction & Trade Protection

Risk management is integrated into every level of good.ai’s trading process. The agent continuously monitors market conditions, adjusting execution frequency and trade sizing to control risk exposure. It dynamically implements stop-loss adjustments, ensuring that capital is protected from excessive market fluctuations. To prevent unnecessary liquidations, good.ai utilizes controlled liquidation strategies, exiting trades strategically rather than closing positions in unfavorable conditions.

The agent also prevents overexposure by setting concentration limits per asset, ensuring that no single trade or position carries excessive risk. During periods of extreme market volatility, trade throttling intervals are activated, slowing down execution and preventing rapid-fire trades that could negatively impact portfolio performance.