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Check yourself

A reference page can only claim to have taught you something if you can check. Ten questions, every one decided by arithmetic or by a figure from the base-rates page, with the reasoning shown after each answer.

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Nothing on this page is recorded, transmitted or stored. The score exists in this browser tab for as long as the tab is open and then it is gone — there is no account, no cookie and no analytics behind it. It is here so that you can find out what you actually absorbed, not so that anyone can find out.

Ten questions

10

Every question is settled by arithmetic or by a figure on the base-rates page. None of them ask you to remember what a pattern is called, because remembering a name is not the skill that protects an account.

0 of 10Answer a question to start. Nothing is recorded — the score lives in this browser tab and vanishes when you close it.
  1. 1 / 10Break-even

    A position falls 40%. What gain on the remaining money brings it back to where it started?

    Why 0.40 ÷ (1 − 0.40) = 0.667. The loss is taken on the whole amount; the recovery is earned on the 60% that survived it, so it always takes a bigger percentage than it took to get there.
  2. 2 / 10Break-even

    An account gains 10% one month and loses 10% the next. Where does it finish?

    Why 1.10 × 0.90 = 0.99. Percentage changes multiply rather than add, and multiplication does not care about order — reversing the two months gives the same 99%.
  3. 3 / 10Cost drag

    A round trip costs 0.10% all in. After 250 round trips, roughly how much of the account have costs consumed, before any profit or loss on the trades?

    Why 1 − 0.999²⁵⁰ = 22.1%. Each charge lands on what is left after the last one, so costs compound exactly the way returns do — and every term is negative.
  4. 4 / 10Expected value

    A method's average winner is twice its average loser. What win rate does it need just to break even?

    Why p* = 1 ÷ (1 + R) = 1 ÷ 3 = 33.3%. At 2:1 a method can be wrong two times out of three and still not lose money — which is why a win rate quoted without a reward-to-risk ratio says nothing at all.
  5. 5 / 10Position sizing

    Risking 2% of the account per trade, how deep is the drawdown after ten consecutive losses?

    Why 1 − 0.98¹⁰ = 18.3%. Slightly less than the 20% you get by adding, because each 2% is charged on a smaller balance than the one before it. Compounding works in your favour here and against you everywhere else.
  6. 6 / 10Streaks

    A method wins half its trades. Over 250 trades, how often should a run of seven straight losses be expected?

    Why 0.5⁷ = 1 in 128, and 250 ÷ 128 ≈ 2. A seven-loss row is what a fair coin looks like at close range, not evidence that anything has stopped working.
  7. 7 / 10Evidence

    An indicator is right 60% of the time on the 500 stocks you tested it on. Which of these most weakens that result?

    Why Testing many variations and reporting the winner guarantees a good-looking result even from pure noise — the objection known as data snooping, and the reason the published tests of technical rules correct for it. The other three are real limitations; this one can manufacture the finding from nothing.
  8. 8 / 10Base rates

    A trading course advertises that 60% of its graduates who are still trading after two years are profitable. What is the main problem with that claim?

    Why Survivorship. In the Taiwanese data 44% were still trading after one year and 24% after two, so a statistic about survivors silently discards most of the people the course took money from. The honest denominator is everyone who started.
  9. 9 / 10Base rates

    Of everyone who day traded Brazilian equity futures for more than 300 days, what share lost money?

    Why 97%, with 1.1% earning more than the minimum wage and 0.5% beating a bank teller's starting salary. Persisting past 300 days selected for commitment, and commitment did not improve the odds.
  10. 10 / 10Evidence

    On this site, an entry tagged “studied” means what?

    Why Only that a peer-reviewed test of the claim exists. Across that literature the edges are typically small, unstable between markets and periods, and frequently gone once costs are taken out. A tag is a pointer to evidence, not a verdict.

A high score here means you can do the arithmetic that decides whether a method survives contact with costs and losing streaks. It does not mean you can predict prices, and neither can this site.