Performance
Art Argentum is expanding its range of artificial intelligence models with the GPT-6 family developed by OpenAI. Platform users can now access three models: GPT-6 Astra, GPT-6 Sol, and GPT-6 Luna, each offering different analytical capabilities, processing speeds, and costs. Astra is the most advanced model in the family, designed for complex reasoning and multi-step analysis. Sol offers a balance between analytical capabilities and efficiency, while Luna is optimized for speed and cost-effective processing of large volumes of requests. Through their integration into Art Argentum, these models can serve as analytical and research engines, supporting users in analyzing market data, developing investment strategies, and evaluating their performance.
How to use?
To start using the new models, users can log in to Art Argentum, navigate to the Workspace section, and create a new investment agent or edit an existing one. Within the LLM Trading module, the models serve as analytical engines, evaluating market conditions and generating trading decisions based on user-defined strategies and parameters. In the Algorithmic Trading module, they can act as research engines, supporting the design, development, and optimization of algorithmic strategies, which are subsequently executed by Art Argentum's infrastructure. The platform provides backtesting and paper trading environments, allowing users to test strategies with virtual capital, analyze performance, and refine parameters without committing real funds.
Cost
How much does it cost to use the new models on Art Argentum? The platform offers a flexible pricing model based on actual token consumption, with no mandatory subscription. GPT-6 Astra costs $15 per million input tokens and $75 per million output tokens, GPT-6 Sol costs $3 and $15 respectively, while GPT-6 Luna costs $0.15 and $0.75. The total cost of running an agent depends on the selected model, the length of the market context being analyzed, and the number of analyses performed. Users can independently select models and customize agent configurations to meet their needs, combining advanced AI-powered analytical capabilities with control over the costs of investment research and strategy testing.