Most solutions follow a similar flow:
Data collection: prices, volume, order book, technical indicators, network data and sometimes news and social media.
Model: processes that data and produces an output — a classification ("uptrend or downtrend"), a risk score or an analysis text.
Decision rule: turns the model output into an intent ("buy", "sell", "wait"), almost always within limits set by a person.
Execution: sends the order to the exchange through the API key, or just notifies you to decide.
Backtest and monitoring: before trading real money, the strategy is tested on historical data (backtest) and then tracked live.
The backtest deserves attention: a great past result does not guarantee future performance. Tuning a model until it "fits" history is called overfitting — the system memorizes the past and fails when a new scenario appears.
See more:
https://criptoview.net/en/negociar-criptomoedas-com-ia/
