Event Reaction Attribution (ERA) Ledger of News and Filings

Each row connects a real-world catalyst, such as a press release or SEC filing, with the AI layer that interpreted it, including WCFF or NDAPR, and then measures what the market actually did afterward. Instead of simply saying a story looked important, ERA shows the source time, alert time, predicted direction, price reaction, volume, and whether the move was immediate, delayed, contradicted, or unsupported by active trading. The ERA Ledger is designed to make ScanScor more transparent and more useful. It helps members see which events created meaningful price movement, which signals were tradeable, which were too thin or inactive, and which cases should be studied to improve future AI alerts. Over time, ERA will also help train FastCast by turning past news reactions into practical trading lessons. ERA helps answer questions such as:

• Did the AI direction agree with the market reaction?
• How much did the stock move after the news or filing?
• Was the move immediate, delayed, or contradicted?
• Was there enough volume and trading activity to consider the event tradeable?
• Did the alert arrive before, during, or after the meaningful price move?
• Which WCFF and NDAPR signals deserve deeper study?