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Analytics source

Tradstry trading analytics

Tradstry computes 36 trading analytics across overview, risk and reward, edge, and behavior views so traders can compare outcomes against the rules they meant to follow.

Current facts

Metric count
36 computed measures
Views
Overview, Risk & Reward, Edges, and Behavior
Examples
Expectancy, SQN, maximum drawdown, R-multiple distribution, win rate, average win, and average loss
Discipline split
Clean trades versus trades that broke a rule

01What the analytics measure

Tradstry measures both performance and behavior. It computes outcome metrics such as P&L, win rate, expectancy, profit factor, drawdown, average win, average loss, and R-multiple distribution.

It also separates trades that followed the trader's written playbook or principles from trades that violated those rules, so the trader can evaluate execution quality instead of only account outcome.

02How the numbers are used

Analytics are attached to the trader's own imported or manually entered trades. They are intended for review, journaling, and process improvement.

The figures are not predictions, recommendations, or guarantees. Broker statements remain the authoritative record for account, tax, and compliance purposes.

03How AI can access analytics

Tradstry's MCP server includes tools for calculating analytics and querying the journal, which lets a connected AI client answer questions about setups, tags, playbooks, and historical trading behavior.

The model works from the user's available Tradstry data and should say when a requested answer needs data that is missing or outside the account's scope.