The maximum amount of information (tokens) an AI model can 'remember' and process at any single moment during reasoning.
The context window is the maximum amount of text an AI model can process in a single interaction
Larger context windows allow processing more market data, charts, and news simultaneously
GPT-4 supports 128K tokens while newer models exceed 1M tokens of context
Efficient context management is critical for AI trading agents analyzing multiple data streams
A trading agent with a 128K context window can analyze 6 months of daily candle data, 50 recent news articles, and current order book depth simultaneously — while a 4K window agent can only see the last few hours.
The process by which an AI agent uses large language models (like DeepSeek or Claude) to parse news and market data into trading decisions.
A prompting technique where the AI agent is encouraged to 'think step-by-step', improving logical reasoning in complex trading scenarios.
The art of crafting specific text inputs to get more accurate or specialized behavior from an AI agent.
An AI framework that allows LLMs to pull real-time data from external sources (blockchains/news) before generating a response.
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