Research
Code & Kapital research is written for readers who want more than a polished chart. The focus is on evidence, system design, and the practical details that determine whether a strategy survives beyond the notebook.
Philosophy
Point-in-time data handling before performance interpretation.
Validation that survives turnover, cost, and capacity assumptions.
Implementation detail treated as part of the research, not cleanup.
Clear documentation of model scope, limits, and decision rules.
Showing 5 of 5 articles in All Research.
The FRED API makes macro metadata, current observations, and revision-aware history unusually accessible, but the real step up comes from handling release timing and vintages with more discipline.
Why ticker-based systems fail, how OpenFIGI creates a stable identity layer, and where FIGI belongs inside a research-grade data pipeline.
Inverse volatility weighting changes portfolio behavior by scaling risk instead of capital, revealing how construction decisions reshape returns in systematic strategies.
How backtesting biases emerge in real research pipelines, why they are difficult to detect, and what it takes to structure a process that produces trustworthy results.
Yahoo Finance can take a workflow from prices to company metadata and financial statements quickly, but serious research still needs stronger identity, timing, and validation discipline underneath it.
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