Retirement Academy · 4th course created

A Trading Diary: Review of operations and discipline

Learn how to ask the AI for a verifiable review of your records: plan, implementation, costs and compliance, without confusing a gain with a good decision.

6 laboratories with AApproximately 2–3 hoursIncluded with joint access of 49 €
Consult program

What includes the course created

12 solved exercises, 2 graphs, 3 CSV files, a protocol voucher and 8 questions assessment. 6 Fictitious operations allow to check every result and to detect wrong AI responses.

Requirement: free medium term or Intradayand an outside A's assistant. The review method serves to prepare records of different assets and to adapt their units and costs.

The complete lessons and materials are included in Joint access to the 12 courses for 49 €, available after confirmation of payment. The figures are fictitious and show no profitability and do not allow them to assign emotions to the operator.

Programme of 6 laboratories

  1. Build a paper that preserves the original plan
  2. Clean and anonymize data before applying for a review
  3. Refigure the net and measure what's changed
  4. Requests an AI compliance audit
  5. Compare groups without making up a cause
  6. Convert the review into a next test

A free sample

A gain out of the plan

The Fictitious Plan supports entrance up to 100.05 and maximum risk 12. The operation goes into 100.2 with stop 99, ten units and costs 3. He goes out to 102.

Gross, net and estimated loss to stop. Check entry and risk to the plan. It explain why positive and compliance are two different checks. Don't infer emotions.
See solution

Gross = (102 − 100.2) × 10 = 18. Net = 18 − 3 = 15. Estimated loss to stop = (100.2 − 99) × 10 + 3 = 15. Gains but doesn't fulfill the maximum 100.05 and maximum risk 12.

Resources to continue

It starts with free daily guide with AI or check the premium programs of backtesting and Founding accounts.

View catalogue and offer of 49 €

Scope of material

Original AI market material prepared with AI support. Synthetic case and tested calculations against CSVs. We do not use an actual account, personal information and quotations. The results do not prove a cost-effective strategy and do not allow for causal conclusions. The classification only checks the fields registered, and not the whole intravenous history.

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