AI-Powered Trading

AnFi AI's self-learning trading engine is what drives the AEGIS system. It analyzes and acts on market conditions on its own. Unlike AEGIS’s static systems, AEGIS uses deep learning algorithms that adjust to market behavior and macro sentiment in real time, static systems that rely on a set of rules do not have this capacity.

The following indicators are key inputs to the self-learning trading algorithms:

• The patterns of price action and volatility.

• Depth of liquidity and order book activities

• Sentiment from social media and on-chain platforms

Through qualitative behavior changes and quantitative data analysis, AEGIS makes trades with low lag and minimal risk. Autonomous trading decisions are made adjusting amount traded, volume, entry/exit ranges, and strategies according to prevailing market regimes.

The system acts more dynamically compared to blindly abiding by predefined rules. The models constantly get improved over time by removing inefficiencies and optimally adjusting the trading. The system becomes accurate, informs trades better and responds in a more intelligent fashion to both trending and volatile chaotic conditions.

AnFi AI’s advantage is transforming unstructured market noise to actionable insights with minimal human input, and this is made possible by AEGIS.