# Overview

1. Live market data is sourced and analyzed by the agents 
2. Processed data is fed into the pipeline
3. Machine learning analyzes the data for future optimization 
4. Recommendations are fed through the quant trading models
5. Trades are reviewed and risk assessment performed 
6. The agents are asked for consensus on the signal generated 
7. The trading is executed
8. Performance is monitored 
9. The active position is closed

<figure><img src="https://1652163517-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FW0CksME7vMlbfNHankin%2Fuploads%2FRwsa1zik2diMYZ32Bui5%2FStackerAI%20Flow%20Process.png?alt=media&#x26;token=21fd9d26-e333-4688-ab7e-a5897f1eebf7" alt=""><figcaption></figcaption></figure>


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