08-12-2026, 09:29 PM
This is educational research, not financial advice. A reproducible notebook records the hypothesis, universe, timeframe, data source, timestamp policy, feature definitions, entry/exit rules, cost assumptions, code version, and results.
Separate raw data from transformed data, and save the parameters used for every run. A second person should be able to rerun the research and explain why each trade occurred. If a result cannot be reproduced, it should not guide a deployment decision.
What research detail do you now record that you once ignored?
Separate raw data from transformed data, and save the parameters used for every run. A second person should be able to rerun the research and explain why each trade occurred. If a result cannot be reproduced, it should not guide a deployment decision.
What research detail do you now record that you once ignored?
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Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.