Joao Wedson
06/17 04:57
LLMs were not created to predict markets. They were created to interpret language, organize information, and predict the next word based on context.
In trading, especially in perpetuals, this can be dangerous. A model without quantitative validation, risk control, robust backtesting, and adaptation to different market regimes can simply accelerate your losses.
The smarter path is not to let an LLM trade for you.
If it were that easy to put an LLM to trade and print money, the CEOs of the biggest AI companies would already be sitting on billions of dollars in profitable trades.
Trading is not about sounding smart.
It is about surviving, validating hypotheses, managing risk, and repeating processes that actually work.
The AI community will still learn this the most expensive way possible.
The right path is to use quantitative models, tested strategies, well adjusted parameters, historical validation, demo accounts, and analysis across different scenarios: bull market, bear market, high volatility, and sideways markets.
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