Trade Intelligence Center turns your recorded trading history into a structured review of what is working, what is costing you, and what deserves your attention next.
Instead of looking through trades one by one, you can bring performance, Playbooks, strategies, sessions, execution, risk, sample size, and optional AI-powered review into one workspace. It is designed to help you move from raw trade history to a repeatable improvement process.
Start with the evidence already in your trades
The standard Trade Intelligence Center analytics are deterministic and do not consume AI Credits.
They can help you quickly answer questions such as:
- How did I perform over the selected period?
- Which Playbooks or strategies contributed most to the result?
- Are particular sessions stronger or weaker for me?
- Is execution quality helping or hurting the outcome?
- Where is the downside concentrated?
- Do I have enough completed trades to treat a pattern as meaningful yet?
The workspace can surface performance snapshots, completed-trade metrics, Playbook and strategy views, session and execution insights, highlights, and sample-size or data-quality guidance.
That makes the deterministic layer useful on its own: you can review the numbers as often as you want without spending AI Credits.
Add an AI review when you want a deeper synthesis
When you want TensorAlgo to turn the evidence into a more structured narrative, you can run an optional AI-powered analysis.
Depending on the review you choose, the analysis can bring together evidence about:
- overall performance;
- strategies and Playbooks;
- sessions;
- execution;
- risk and downside;
- sample size and data quality.
The purpose is to make a larger set of trade evidence easier to review and act on. The AI analysis uses saved trade records and aggregated evidence from the selected period. It does not expose protected Marketplace strategy logic and should not be treated as personalized financial advice.
Build a review around the period that matters to you
Choose the instrument, period, and available analysis type that match the question you want to answer. You can use the Center for a quick recent review or for a broader look at your trading history, subject to the historical-data access available on your account.
A useful routine is:
- look at the deterministic performance snapshot first;
- identify the strongest and weakest contributors;
- check session, execution, risk, and sample-size context;
- run an AI review when you want a consolidated interpretation and action plan;
- revisit the saved report later to see whether the same issue is improving.
Quick reports make review a habit
Trade Intelligence Center includes fixed review workflows for common routines:
- Morning Brief reviews the most recent completed trading day;
- Weekly Action Plan reviews the last five completed trading days;
- Monthly Progress Review reviews the last twenty completed trading days.
These workflows use completed trading days, so an unfinished current session does not replace the completed period the report is meant to evaluate.
This makes it easier to create a consistent review cadence rather than waiting until something goes wrong before looking back at your trades.
Turn completed reviews into a journal
Completed AI reviews are saved in the Report Journal.
From the Report Journal you can search and filter saved reports, reopen a previous review, download its PDF, or archive it and restore it later. This gives you a history of your reviews instead of treating each analysis as a one-time result.
PDF output is useful when you want to keep a report outside the dashboard, review it later, or compare your conclusions and next-step plan over time.
See Review saved reports and PDF output for the full saved-report workflow and the sections available inside a completed review.
What you can learn over time
The biggest value of Trade Intelligence Center comes from repeating the process. A single report can show what happened in one period; a series of reviews can help you see whether your trading is becoming more consistent.
Use the Center to look for evidence such as:
- a Playbook that repeatedly contributes positively or negatively;
- a strategy that performs differently across sessions;
- execution mistakes that appear more often in losing periods;
- risk or downside patterns that deserve a tighter process;
- changes that look promising but still need more sample size;
- whether the action items from your previous review actually improved the next period.
The goal is not just to produce more statistics. It is to make your own trading history easier to understand and easier to turn into a focused next step.
AI Credits and access
Deterministic Trade Intelligence Center analytics do not use AI Credits. Optional AI-powered reviews do use AI Credits, and the current charge is shown by the product for the review you select.
Available periods and specific dates are limited by the account's current historical-data entitlement.