V1.3

NOV 2024

Further advancements were made in AI training, focusing on deep reinforcement learning. The AI began learning from past trades, adjusting its risk parameters dynamically based on market conditions. This allowed it to reduce exposure during periods of high volatility while maximizing gains during optimal trading conditions.

Additionally, the system’s adaptability ensured that it continuously refined its trading strategies based on live data. By integrating reinforcement learning principles, the AI improved its ability to manage risk and capitalize on profitable opportunities with minimal human intervention.