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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.
Ten questions
10Every 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.
- 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 / 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 / 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 / 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 / 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 / 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 / 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 / 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 / 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 / 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.