AI Prediction Bots: Paper Trading, Permissions, and Risk Controls
A practical framework for evaluating prediction bots without confusing an impressive simulation with a reliable trading system.
Read the articleThe Signal Journal / Topic
Prediction bots
A prediction bot combines software behavior with a set of permissions. This reading path looks at the controls around that combination: paper trading, bounded inputs, access limits, operational records, and criteria for stopping an experiment when the evidence or system state is unreliable.
The bot guide is a framework for research and testing, not a ready-to-run trading system. Paper results can miss costs, fills, and failures that matter outside a simulation. Pair the article with the AI overview to keep forecasting evaluation separate from execution. A defensible experiment should explain both how decisions were produced and which actions the software was allowed to take.
Explore the related topic page or return to the complete journal.