Tearsheets and Standard Diagnostic Panels
A fixed one-page set of charts and numbers every strategy or signal gets evaluated with, so results are visually comparable across projects instead of each researcher choosing their own metrics to show.
Prerequisites: A Standard Research Report Artefact
Two researchers each test a new signal and each brings their own set of charts to a review meeting — one shows cumulative return and a drawdown chart, the other shows a monthly return heatmap and a rolling Sharpe line. Comparing the two strategies means mentally translating between two different sets of diagnostics, and worse, whatever a researcher happened to leave out (a bad drawdown period, an unstable rolling Sharpe) is invisible unless someone thinks to ask for it specifically. A tearsheet fixes this by making the set of charts and numbers a fixed, standard panel — every strategy, tested by anyone on the team, gets evaluated against the exact same layout.
What a standard panel typically contains
A tearsheet usually includes: cumulative return on a log scale (so a doubling early and a doubling late look the same size), a drawdown chart showing the depth and length of every losing period, a rolling window of the Sharpe ratio (to see if performance is stable or was carried by one lucky stretch), a table of summary statistics (annualized return, volatility, Sharpe, max drawdown, turnover), and often a monthly or yearly return breakdown to spot whether performance concentrates in a few periods. Because every strategy gets the same panel, a reviewer flips between two tearsheets and compares like for like immediately, rather than hunting for whether each researcher happened to check the same things.
The standard panel also works as a checklist against selective reporting: if the rolling Sharpe chart is always included, a researcher can't quietly leave it out because it happens to show an unflattering stretch of instability. The fixed format is doing double duty — making comparison easy, and making it harder to accidentally or deliberately present only the flattering slice of a result.
Worked example: reading two tearsheets side by side
Strategy A's tearsheet shows a smooth cumulative return line, but its drawdown chart reveals one 18-month stretch underwater that the cumulative return line, by itself, made look like ordinary noise. Strategy B's tearsheet shows a choppier cumulative line but a drawdown chart with no drawdown longer than three months. A reviewer looking only at cumulative return might prefer A; looking at the full standard panel, most reviewers would flag A's long drawdown as the more concerning risk characteristic, even with a similar overall return — exactly the kind of judgment call a partial set of charts would have hidden.
What this means in practice
Tearsheets earn their keep in review meetings and in comparing many candidate strategies quickly — a PM scanning ten tearsheets in the same layout can triage far faster than reading ten differently structured write-ups. The standard panel is not, by itself, a decision rule; two tearsheets that look similar can still differ in ways that matter (how much of the return came from a handful of trades, whether the backtest used point-in-time data), so a tearsheet is a starting point for a conversation, not a substitute for reading the accompanying report.
A tearsheet is a fixed, standard set of charts and statistics applied to every strategy the same way, which makes results comparable at a glance and makes it harder to leave out an unflattering diagnostic. It complements, rather than replaces, a full written report.
When building a team's tearsheet template, include at least one chart that would embarrass a cherry-picked result — a rolling performance metric or a drawdown chart — not just cumulative summary numbers.
Related concepts
Practice in interviews
Further reading
- Grinold and Kahn, Active Portfolio Management (ch. 1)