About

Honest backtests, published in public

Validated Strategies exists to do one unfashionable thing: test trading strategies honestly and publish the results — especially the failures.

Why this exists

The trading internet is a graveyard of curve-fit equity curves. A vendor optimises a robot on the window where it worked, screenshots the line going up, and sells it. The hard part — proving an edge survives realistic costs, a random-permutation placebo, a multiple-testing correction and an out-of-sample window — is exactly the part nobody publishes.

So we publish it. Every strategy runs through 11 pre-registered gates (The Validation Gauntlet), and the full scorecard goes on the public scoreboard whether it passes or fails. So far that's 14 retired or rejected, 2 surviving, 1 validated, and 1 in a paper window. The failures aren't hidden — they're the product.

Who builds it

Validated Strategies is built by Brent Akamine. Founder of Validated Strategies. Built the Vinovest investing platform. Runs every trading strategy through a pre-registered 11-gate validation framework — The Validation Gauntlet — and publishes the results, pass or fail.

Built by the same team behind Operator — a separate brand; this site stands on its own track record.

The discipline is borrowed from how serious quant research is actually evaluated: pre-registration (lock the spec before you look), a locked out-of-sample window (so you can't peek and re-tune), placebo and deflated-Sharpe tests (so random and over-mined results get caught), and an honest backtest-vs-live delta on every report (every modelling bias points toward optimism, and we say so).

Where it's going

The endgame is a marketplace: the strategies that survive the gates become assets that autonomous agents can license and trade. A validated, placebo-confirmed, cost-robust edge is worth something precisely because so few survive. The track record of honest failures is what makes the survivors credible. 11 brutal gates. Most strategies fail. We publish what survives.

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Nothing on this site is investment advice. Backtests describe the past under modelling assumptions; past results do not guarantee future returns.