Skip to main content
Every time an active strategy evaluates a market, Everstrike records the result as an event. New events appear in real time on the AI dashboard and the AI activity page, and selecting an event opens its full details. Events capture the full picture of each AI decision: what action the AI chose, how confident it was, the reasoning behind that choice, whether an order was submitted, and how many credits the evaluation consumed. Use events to validate a new strategy before increasing its trade quantity or evaluation frequency. They are your primary tool for understanding how the AI interprets your prompt.

​
Reviewing an Event

1

Check the outcome

Look at Action, Amount, and Order Submitted to confirm what the AI decided and whether it actually placed a trade. A HOLD action with Order Submitted set to false means the AI evaluated the market but did not meet the confidence threshold.
2

Compare confidence and reasoning with your prompt

Read the Confidence score and Reasoning field together. If the AI is consistently uncertain or its reasoning doesn’t reflect your intent, revise the prompt to be more specific about entry and exit conditions.
3

Track the strategy over time

The Statistics tab on the AI dashboard sums a strategy’s events: decisions, confidence, credits used and uptime. Use it to spot trends that single events don’t show.
4

Review credit consumption

Check Credits Used, Prompt Tokens, and Completion Tokens to understand the cost of each evaluation. If costs are higher than expected, consider enabling Cost Savings Mode, switching to a more economical model, or limiting the strategy’s input data to what the prompt uses.

​
Event Properties

Each event exposes the following properties:

​
Event Frequency & Credit Use

Evaluation frequency determines how quickly events accumulate. Every event consumes AI credits, which are deducted automatically: from your free credit balance before your first deposit, and from your USD balance after it. The AI credits page shows how many events each strategy generated and what they used. Pause a strategy at any time to stop event generation, trading, and credit use. You can resume it whenever you’re ready. The estimates below apply to each selected market individually. Frequencies of 15 seconds or less can only use GPT-4.1-nano, so those rows use its price; 30 seconds and slower use GPT-6 Luna, the default model. Each check also costs the model’s price once for the strategy itself, on top of the per-market figures above: a one-market strategy costs twice the figure shown, a two-market strategy three times its per-market figure.

​
Event Costs by Model

The credit cost per event varies by the AI model your strategy uses. Higher-capability models with more reasoning depth cost more per evaluation. See Models for each model’s typical speed and when to use it.