Trading Auditor
← back to every claim
FAILED

A/D Oscillator (0.30/30/70, tied to the previous close)

Where the market opens and where it closes, within the day's range, reveals the implied direction of that session's trading: opening at the low and closing at the high is buying; the reverse is selling. Because each day is measured against its own range, the index needs no recalibration when price or volatility shift levels — it solves on its own the problem that defeats fixed-scale indicators.

Measured in cryptoBinance spot · 540 pairs, delisted ones included · 0.2% per round trip

Net per trade
−3.24%
after fees
The fee is charged on both legs: every trade pays to open and pays to close.
Died at
placebo
random dates pay the same or more
Worst drawdown
−100%
2,282 days underwater
How far the account fell below its own best previous moment.
Timeframe
1 day
The time grid this was measured on. The same technique on a coarser or finer grid is a different measurement, and can earn a different verdict.
  • invariance
  • costs
  • placebo
  • benchmark
  • out of sample
  • multiple testing
Equity curve
Risking 1.0% per trade, marked to market every day — not only when a trade closes. The line at 1.0 is the capital it started with.

At its worst the account was worth 100% less than its own best previous moment, and it spent 2,282 days below that peak.

The technique against chance
Same number of trades, same holding time, same assets — only the dates were drawn at random.
0%barthe technique−3.24%random dates−1.06%
The average trade and the typical one
The mean sits BELOW the median: most trades win a little and the tail loses a lot. It is the lottery inverted, and no less dangerous — what decides the outcome is the rare loss.
0%mean−3.04%median+8.58%

What was measured

We coded the rule exactly as it is described and let it trade on its own from 2017-08-17 to 2026-07-28. It found trades in 510 coins, 5,986 in total. Each one enters and exits at the price that existed on that day — the program never sees what comes next, which is the most common mistake people make testing strategies at home. Wherever the description was ambiguous we took the reading least favourable to the technique; whatever was left open is stated in the hypothesis, at the foot of this page.

How many of those trades actually count

Only 29 of the 5,986. Cryptocurrencies rise and fall almost in unison, so the same rule fires on dozens of coins on the same day — and that is one bet repeated, not dozens of different bets. Counting them all separately is the trick that makes a bad test look impressive.

What it paid, before any deductions

-3.04% per trade. Look at the sign: the average is already negative before any fee is taken out. The controls below still hold, but here they are not knocking down an edge — they are confirming there never was one.

Why it did not pass — it died here · against randomly drawn dates

We ran the whole thing again entering on randomly drawn dates and changing nothing else: same number of trades, same holding time, same assets. Chance did as well or better. That means the signal was not picking the moment: any moment would have done the same.

What would have happened to the money

Risking 1.0% of capital per trade — the most widely taught rule — across the whole period: The account would have been wiped out. At its worst the account was worth 100% less than its own best previous moment, and it spent 2,282 days below that peak. In 12 of the 12 paths tested, the account fell to less than half of what it started with.

The account would not fit every signal

91% of the trades had to be turned down: by the time they appeared, the money was already tied up in other positions. That matters because the average return per trade the technique claims is computed over trades that nobody could have taken all of.

What this result does NOT say

For an edge to be assertable here it would have to reach 4.54% per trade — that is the size that survives this archive's multiple-testing correction, and it rises as the archive grows. So FAILED means “we found nothing above that size”, and never “it cannot possibly work”. The instrument is far more sensitive than that: on synthetic data, with a clean effect, it separates from 0.69% upwards. The distance between the two numbers is the price of a real market and the price of publishing many claims. The difference matters, and it is the rule of this house: the card confronts the claim, never the person who made it.
What this card does not measure
Every verdict holds for the conditions it was measured under. These are this card's — and outside them the result does not apply.
One market, one universe
Measured on 510 spot cryptocurrency pairs, delisted ones included. It says nothing about futures, equities or indices, nor about how the same technique behaves in another market.
One window of time, not every window
The measured period runs from 2017-08-17 to 2026-07-28. A market moves through regimes, and a technique can work in one and fail in another — the card measures the regimes that fit inside this window, not the ones still to come.
One cost structure
The cost charged is 0.10% per leg, in and out. Anyone paying more than that gets a worse result, and anyone paying less gets a better one — the verdict holds for this fee.
One exit rule
The trade was closed by: the technique itself (held until the opposite signal). The same entry measured with a different exit is a different strategy, and can earn a different verdict — it happens in this archive.
The number of trades is not the sample size
There are 5,986 trades, but only 29 independent market episodes: a single move fires the technique across dozens of assets at once, and counting those as separate observations inflates any result. It is the smaller number that governs the arithmetic. With 29 episodes, what the data supports is a range from -13.56% to +7.47% per trade — the published average is the centre of it, not the exact measurement.
Daily bars
Measured at the daily close. Nothing here measures what happens inside the day, and an intraday technique is not auditable with this data.

Numbers and reproducibility

The six controls

controlstatustthresholdepisodes
invariancepassed
costsinconclusive-0.632.0529
placebofailed-0.412.0529
benchmarkfailed
out of sampleinconclusive
multiple testinginconclusive
  • invariance5986 signals across 750934 barsconcentration: +41.07% of the profit sits in the top 5% of trades — with the dates shuffled, +54.73% (fails above +50.00%)
  • costsgross -3.044% · cost 0.200% · net -3.244% (t=-0.63) · the range runs from -13.759% to +7.271%
  • placeboactual -3.244% · placebo -1.061% · excess -2.184% ± 5.290% (t=-0.41 against a threshold of 2.05, 29 real groups, 299,300 sham dates, draw error ±0.306%)
  • benchmarktechnique -3.24% · buy and hold (same horizon) +11.37% · excess -14.62%
  • out of sampleasset half A: -5.071% (t=-0.87, 28 episodes) · asset half B: -1.580% (t=-0.24, 29 episodes) · liquid half (>= US$ 2,147,260/day): -8.158% (t=-1.05, 29 episodes) · illiquid half: +3.132% (t=0.69, 27 episodes) · period 1/4 (2017-08-27 a 2022-02-20): -12.656% (t=-1.41, 15 episodes) · period 2/4 (2022-02-21 a 2024-03-01): -11.105% (8 episodes — too small, does not count) · period 3/4 (2024-03-02 a 2024-12-18): -0.203% (3 episodes — too small, does not count) · period 4/4 (2024-12-19 a 2026-07-02): +10.713% (6 episodes — too small, does not count)
  • multiple testing1 variation(s) tested · t=-0.63 across 29 episodes (equivalent to t=-0.60) · p≈0.5453 · false positives expected by chance ≈ 0.55

Equity — outside the six controls, and here is why

The t of the trade series is invariant to bet size: 0.5%, 1% and 3% agree to the sixth decimal. Nothing here moves the verdict — it moves what the account would have lived through.

risking 1.0% per trade
×0.00
worst drawdown from the peak
100%
days below the previous peak
2,282
signals refused for lack of capital
91%
paths where the account halved (out of 12)
12

Reproducibility

period
2017-08-17 to 2026-07-28
assets that traded
510
variations tested before this one
1
gross per trade
−3.04%
net per trade
−3.24%
exit rule
the technique itself (held until the opposite signal)
median duration bars
62
mean duration bars
104.6
max duration bars
1329
fee per leg
0.001
episode days
112
seed
20260728
A/D smoothing
0.3
oversold
30.0
overbought
70.0
tied to previous close
1.0

Binance spot klines (delisted pairs included) · collected from 2026-07-27 23:31 to 2026-08-03 10:49 · 540 assets · 750,934 bars · 2017-08-17 to 2026-07-28

Hypothesis, filed before the result

Buying force = high − open; selling force = close − low; the daily index is the sum of the two over twice the range. Zones of 80/20 on the raw series and 70/30 on the smoothed one (constant 0.30). The source describes a DEFECT of its own and the remedy: on a gap day the index inverts its sign without price having inverted, and it corrects this by replacing the high or the low with the previous close, in the manner of the true range. Both readings will be measured — without and with the correction —, because the source presents both. Family prediction, filed before measuring: (1) the control that kills the most will be COST, and not invariance — unlike the `adaptativos` family, because these are discrete-signal oscillators, they turn over less and are not always in the market; (2) the DIVERGENCE techniques will come out mostly INCONCLUSIVE, because they require two aligned peaks and fire rarely; (3) none survives the family's Benjamini-Hochberg. I record that prediction (1) is the opposite of the one I made in `adaptativos` and that was confirmed there — if I get it wrong again in the same direction, that is a sign I am misreading the mechanism of cost, not the technique.

filed on 2026-07-31, before the number existed

The original, as it was filed

Força compradora = máxima − abertura; vendedora = fechamento − mínima; o índice diário é a soma das duas sobre o dobro da amplitude. Zonas 80/20 no cru e 70/30 no suavizado (constante 0,30). ⚠️ A fonte descreve um DEFEITO próprio e o remédio: em dia de gap o índice inverte o sinal sem que o preço tenha invertido, e ela corrige substituindo máxima ou mínima pelo fechamento anterior, à moda do true range. As duas leituras serão medidas — sem e com a correção —, porque a fonte apresenta as duas. Previsão da família, registrada antes de medir: (1) o controle que mais mata será o CUSTO, e não o invariante — diferente da família `adaptativos`, porque estes são osciladores de sinal discreto, giram menos e não são sempre-no-mercado; (2) as técnicas de DIVERGÊNCIA sairão majoritariamente INCONCLUSIVAS, porque exigem dois picos alinhados e disparam pouco; (3) nenhuma sobrevive ao Benjamini-Hochberg da família. ⚠️ Registro que a previsão (1) é o oposto da que fiz em `adaptativos` e que se confirmou lá — se eu errar de novo na mesma direção, é sinal de que estou lendo mal o mecanismo do custo, e não a técnica.

Pre-registration exists to keep prediction apart from rationalisation: written after the number, every hypothesis is right.

The same technique in the other market

The verdict is different there. The same technique, measured on independent data, came out the other way — and that says more about it than either card says alone. Read the cost and the detection floor before concluding: they are not the same in the two markets.

Earlier audits of the same technique

Each variation an author teaches enters as its own test, so that whatever might work in the strategy gets covered. The verdict held in all of them.

  1. this measurement →FAILED
  2. 2026-08-03FAILEDopen ↗
  3. 2026-08-03FAILEDopen ↗

record 9622f5d0de04 · 2026-08-03 22:45

This code comes from this card's content: if anything here changed after publishing, the code would stop matching — that's how a change gets caught. We audit the technique, never the person — no record names an author, a channel or a brand.

The full record behind this verdict.