Signal methodology
How GPT Trading Bot Signals Are Formed
How GPT Trading Bot forms CALL and PUT signals: input data, analysis stages, what AI does and does not do, and how to evaluate signal results.
Executive Summary: GPT Trading Bot reviews market data and technical conditions to form a directional CALL or PUT signal with timing information. The bot keeps a high winrate, but past results do not guarantee future results.
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Published input categories
The publicly documented workflow uses market data, price action, market trends, and technical conditions across multiple timeframes. The interface can show the asset, current market context, direction, and timing information.
The exact indicator set, model weights and decision thresholds are proprietary and are kept private.
Analysis stages
- Review the available asset and duration.
- Process market data and technical conditions.
- Identify a directional setup.
- Return a CALL or PUT signal with timing information.
- Let the user review the result manually or use it within GPT Auto.
What AI does and does not do
AI-assisted analysis helps process market context and produce a directional output. It does not know future prices and cannot eliminate uncertainty, slippage, connectivity failures, or rapid market changes.
GPT Trading Bot is an independent product and is not affiliated with OpenAI or ChatGPT.
How results should be evaluated
A meaningful performance report would define its sample period, number of signals, assets, durations, win and loss rules, treatment of ties, treatment of Martingale sequences, market type, and update date.
GPT Trading Bot statuses differ by the modes they unlock: Fast on Bronze, Fast and Medium on Silver, and Fast, Medium and Performance on Gold. A high winrate is not a promise for a specific trade, session, or account.
When signals are generated
Signals are generated when users request or configure them in the product.
Product changes are listed with dates in the GPT Trading Bot changelog at gpt-trading.io/changelog.
