Northstar Learning

Quantitative research methods, explained without the hype.

Original notes on model design, validation, data integrity and the limits of systematic evidence. Articles disclose relevant sources, automation and commercial conflicts.

Research note 04 · Live market anatomy

When leverage becomes the seller: reading a forced-deleveraging move.

A violent price move can contain both new information and mechanical position closure. The research problem is not to label every sell-off a liquidation cascade, but to test whether leverage, liquidity and price changed together in a way that alters continuation risk.

7 minute read
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Research note 03 · Quant method explained

When a reversal is just the spread: testing the price behind the signal.

A short-term reversal can look predictable while remaining impossible to capture. Before improving the forecast, investigate what the recorded price actually represents.

6 minute read
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Research note 02 · Research validation

The search is part of the backtest: how quants control false discoveries.

A rigorous model-selection process records every attempted strategy—not just the winner—because repeated searching can turn ordinary noise into an impressive result.

9 minute read
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Research note 01 · Model engineering

Quant algorithm engineering: from hypothesis to auditable signal.

A practical look at how a trading idea becomes a controlled, testable and continuously monitored decision system.

7 minute read
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General educational information only. Not investment advice. Some notes use an automated publication workflow; see the editorial and corrections policy.