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Insider buying: Conviction model, 500 largest

Backtest from 22 Feb 2013 to 2 Nov 2026 · weekly · hypothetical

Watch this strategy
Return a year
−2.5%
S&P 500 +14.4%
Last 12 months
+3.7%
S&P 500 +12.1%
Sharpe ratio
−0.01
S&P 500 0.81
Biggest drop
−63.3%
S&P 500 −31.8%
$5.0k$10.0k$20.0k$40.0k 2013201520172019202120232025 $62.9k$7.0k
StrategyS&P 500 $10,000 in Insider buying: Conviction model, 500 largest from 22 Feb 2013 against the S&P 500 (total return) over the same dates, marked weekly, log scale. Hypothetical: before taxes.

About

Scores every insider purchase with a model of the trade, the insider and the company, fitted each year on earlier years only, and holds the best-scoring companies. Costs of 10 basis points a trade are deducted.

Insider backtests →

Key statistics

MeasureStrategyS&P 500
Return a year (compound)−2.5%+14.4%
Total return−30%+529%
Last 12 months+3.7%+12.1%
Last 3 months−12.4%—
Last month−2.7%—
This year so far+9.5%—
Volatility a year28.7%15.8%
Sharpe ratio−0.010.81
Biggest drop−63.3%−31.8%
Beta to the S&P 5001.051.00
Alpha a year (t-statistic)−13.7% (−2.15)—
Share of weeks up54%—

Sharpe ratio uses returns above the 3-month Treasury bill rate. Alpha is the yearly return left after allowing for the strategy's exposure to the S&P 500 (CAPM); a t-statistic below about 2 means it cannot be told apart from luck.

Insights

CompanyWeightHeld sinceReturn since
XYL100.0%——

Equal weight at the latest rebalance, rebuilt every month.

PeriodReturn a yearS&P 500SharpeS&P 500Biggest dropBetaAlpha (t)
Whole backtest22 Feb 2013 to 2 Nov 2026−2.5%+14.4%−0.010.81−63.3%1.05−13.7% (−2.15)
2018 onwards5 Jan 2018 to 2 Nov 2026−5.3%+13.9%−0.110.66−63.3%0.97−14.9% (−1.75)
Last three years3 Nov 2023 to 2 Nov 2026+1.0%+21.8%−0.011.16−32.4%0.82−13.5% (−1.01)
Last year7 Nov 2025 to 2 Nov 2026+9.2%+14.2%0.310.84−16.9%0.65+2.9% (0.10)
DateCompanyAction
2 Nov 2026XYLBought
19 Oct 2026BABABought

Dated at the rebalance that made the change.

DateCompanyAction
2 Nov 2026BABASold

Dated at the rebalance that made the change.

Backtests are hypothetical and use today's listed companies only, which flatters results. Past performance does not predict future returns. This is research, not investment advice. How we backtest