Core Architecture

Data Ingestion Pipeline

AIM aggregates and processes diverse data sources in near realtime to support its advanced LLM driven models:

Bitcoin, Ethereum & Economic News

Real-time and historical news feeds related to Bitcoin, Ethereum, global financial markets, and macroeconomic events. This provides AIM with context on both major crypto assets and broader economic signals.

Price & Technical Indicators

Time and date based price data paired with technical indicators (e.g., SMA_10, EMA_10, RSI_14). These indicators help the system capture short & long term market trends.

Additionally, AIM integrates on-chain signals such as large wallet transfers, token inflows/outflows, and whale alerts—into its short-term trading logic. These real-time blockchain activities help detect potential price-impacting events before they’re fully reflected in market prices.

Previous Decisions & Outcomes

A historical record of AIM’s prior trade decisions and their results, allowing the system to learn from past successes and failures.

Market Analysis

Aggregated data from multiple exchanges, including volume, order book depth, and volatility metrics to provide contextual understanding of the current market state.

Fear and Greed Index

A specialized sentiment measure that reflects overall market psychology, assisting the model in gauging potential panic or overconfidence in the market.

The pipeline employs an optimized ETL (Extract, Transform, Load) framework to handle high frequency data with minimal latency, ensuring LLMs and other sub modules receive latest information.