I want to build my own.
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Before you buy a tool or ask an AI to write code, decide what you want to learn. A useful first project starts with a rule you can explain.
“When the market looks strong” is open to interpretation. Specify the observable condition, timeframe and moment at which it becomes known.
Record your exit conditions and what happens if more than one can occur in the same bar. Do not leave those decisions for after the result.
Name the data source, period, fees and spread assumptions. Keep a separate period for evaluation.
Compare a few individual events against the chart. Confirm that the program follows the written rule before interpreting its performance.
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Explore the planned kit for a complete learning workflow, companion files and a worked example.
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