Tag
#point-in-time
5 articles
- Research Workflow
How to Compare Companies Across 10 Years of Filings
To compare a company across a decade, normalise for restatements, segment redefinitions, and accounting changes first, so every year is measured on the same basis before you read the trend.
- AI & Finance
Structuring Decades of Filings So an AI Can Actually Use Them
A language model cannot reason over a messy pile of filings. Labels drift, statements get restated, formats change, and history is not what it looks like today.
- AI & Finance
Why Point-in-Time Data Matters in Research and Backtests
Point-in-time data means using the numbers that were actually knowable on a given date, not today's restated version. Skip it and your research quietly looks smarter than it was.
- AI & Finance
The Hardest Part of AI in Finance Is Not the Model. It Is the Data.
In financial AI, the model is fast becoming a commodity. The durable edge lives in disciplined data work: units, restatements, point-in-time correctness.
- Education
Lookahead Bias, Explained: The Silent Killer of Stock Backtests
Lookahead bias is when a backtest uses information it could not have known at the time. It quietly inflates results, and point in time data is the only real fix.