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FAILED

80-day average by the direction of the line

What matters is the direction of the trend line, not where price sits relative to it: entering when the average turns and holding while it keeps that direction captures the main move without being shaken out by price coming and going around the line.

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

Net per trade
+1.63%
after fees
The fee is charged on both legs: every trade pays to open and pays to close.
Died at
invariance
the result is not physically plausible
Worst drawdown
−72%
1,928 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 72% less than its own best previous moment, and it spent 1,928 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+1.63%random dates+0.05%
The average trade and the typical one
The mean sits above the median: the lottery signature — the typical trade loses and a rare handful pays for everything.
0%mean+1.83%median−1.98%

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 538 coins, 32,982 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 32,982. 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

+1.83% per trade. This is the number the technique claims, and the only one on this page that has not yet been through a single control.

Why it did not pass — it died here · where the result came from

We look at where the result came from: whether it is spread across the trades or packed into a handful of them. It concentrated. That is the shape of a lottery: the typical trade loses, and a rare handful pays for everything. Anyone following the rule for real would face a long run of losses before any gain, and would almost certainly quit before it arrived. To give the measure: 76% of the profit came from the top 5% of trades, and the same technique with its dates shuffled would concentrate 56%. The control fails above 50%.

What would have happened to the money

Risking 1.0% of capital per trade — the most widely taught rule — across the whole period: The capital would have ended at 1.25× what it started with. But that number is not trustworthy: draw the order in which the signals arrive and it ranges from 0.96× to 1.57×. That is the draw talking, not the technique. At its worst the account was worth 72% less than its own best previous moment, and it spent 1,928 days below that peak. In none of the 12 paths tested did it fall to less than half of what it started with.

The account would not fit every signal

62% 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 538 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 32,982 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 -2.74% to +6.41% 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
invariancefailed
costsinconclusive0.732.0529
placeboinconclusive0.702.0529
benchmarkpassed
out of samplepassed
multiple testinginconclusive
  • invariance76% of the gross profit comes from 1649 trades (5% of the total) — lotteryconcentration: +75.64% of the profit sits in the top 5% of trades — with the dates shuffled, +55.74% (fails above +50.00%)
  • costsgross +1.833% · cost 0.200% · net +1.633% (t=0.73) · the range runs from -2.945% to +6.211%
  • placeboactual +1.633% · placebo +0.046% · excess +1.587% ± 2.260% (t=0.70 against a threshold of 2.05, 29 real groups, 1,649,100 sham dates, draw error ±0.046%)
  • benchmarktechnique +1.63% · buy and hold (same horizon) +1.62% · excess +0.01%
  • out of sampleasset half A: +2.338% (t=0.84, 29 episodes) · asset half B: +1.031% (t=0.54, 29 episodes) · liquid half (>= US$ 2,069,756/day): +2.669% (t=1.05, 29 episodes) · illiquid half: +0.423% (t=0.12, 28 episodes) · period 1/4 (2017-11-05 a 2022-04-16): +6.719% (t=1.62, 15 episodes) · period 2/4 (2022-04-17 a 2023-11-04): +1.236% (6 episodes — too small, does not count) · period 3/4 (2023-11-05 a 2025-05-15): +0.373% (6 episodes — too small, does not count) · period 4/4 (2025-05-16 a 2026-07-27): -1.790% (5 episodes — too small, does not count)
  • multiple testing1 variation(s) tested · t=0.73 across 29 episodes (equivalent to t=0.70) · p≈0.4844 · false positives expected by chance ≈ 0.48

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
×1.25(×0.96–×1.57 depending on the drawn ordering)
worst drawdown from the peak
72%
days below the previous peak
1,928
signals refused for lack of capital
62%
paths where the account halved (out of 12)
0

Reproducibility

period
2017-08-17 to 2026-07-28
assets that traded
538
variations tested before this one
1
gross per trade
+1.83%
net per trade
+1.63%
exit rule
the technique itself (held until the opposite signal)
median duration bars
3
mean duration bars
20.4
max duration bars
377
fee per leg
0.001
episode days
112
seed
20260728
slope period
80

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

The new base of this family, and a technique in its own right: a single 80-day moving average decides the side by ITS OWN SLOPE — buy when the line turns up, sell when it turns down, and price does not enter the rule. It is the reference case of four of the section's six sub-studies: «we applied an 80-day moving average from 1990 through mid-2011 as the benchmark case» (p. 1076). THE DIRECTION IS A READING, and it is declared: the source does not repeat here the explicit definition it gives in ch. 20, but the whole language of this section is one of direction — «if the trend changes direction before the entire position is set», «the point where the trend first changed». It is not the moving average crossover the corpus already publishes: there is no second average and no comparison with price. And it is not the 60-day one, which is a published card of the `volatilidade` family — this is the period that was missing. Family-level prediction, recorded before measuring: (1) NONE survives the corpus-wide Benjamini-Hochberg; (2) the FRACTIONAL ENTRY and the two PYRAMIDS ON PROFIT will move the mean by LESS THAN THE ERROR BAR and will NARROW the deviation — it is the mechanism the protocol has already measured twice, at breakeven (median from −2.75% to 0.00%, mean unchanged) and at partial profit taking (−0.023% ± 0.518%, deviation from 19.9% to 12.4%): position management moves the SHAPE and is read as if it had moved the CENTRE; (3) the EQUITY CURVE GATE fails, and for lack of autocorrelation — this is the family's most falsifiable prediction, because the number already exists in the corpus: the source states that «first one must find out whether returns are positively autocorrelated», and `confirmacoes.py` publishes, over 742,175 crypto days, that daily direction is a coin flip WITH NO MEMORY; (4) AVERAGING DOWN will be the worst in the family and will die at CONTROL 1, concentration, because adding to losses fattens the tail — and the source itself already rejects it in 3 of 4 markets; (5) the gravedigger in crypto will be CONTROL 1 and not the benchmark, which is the correction of the prediction refuted in part 76 and what part 74 had already established: in crypto, what pays a lot pays it concentrated; (6) the 80-day BASE will do better than any layer built on top of it.

filed on 2026-08-04, before the number existed

The original, as it was filed

A base nova desta família, e técnica por direito próprio: uma única média móvel de 80 dias decide o lado pela PRÓPRIA INCLINAÇÃO — compra quando a linha vira para cima, vende quando vira para baixo, e o preço não entra na regra. É o caso de referência de quatro dos seis sub-estudos da seção: «aplicamos uma média móvel de 80 dias de 1990 até meados de 2011 como o caso de referência» (p. 1076). ⚠️ A DIREÇÃO É LEITURA, e ela está declarada: a fonte não repete aqui a definição explícita que dá no cap. 20, mas toda a linguagem desta seção é de direção — «se a tendência mudar de direção antes de a posição inteira estar montada», «o ponto onde a tendência mudou pela primeira vez». ⚠️ Não é o cruzamento de médias que o corpus já publica: não há segunda média nem comparação com o preço. ⚠️ E não é a de 60 dias, que é card publicado da família `volatilidade` — esta é o período que falta. Previsão da família, registrada antes de medir: (1) NENHUMA sobrevive ao Benjamini-Hochberg do corpus; (2) a ENTRADA FRACIONADA e as duas PIRÂMIDES SOBRE LUCRO moverão a média por MENOS QUE A BARRA DE ERRO e ESTREITARÃO o desvio — é o mecanismo que o protocolo já mediu duas vezes, no breakeven (mediana de −2,75% para 0,00%, média parada) e na realização parcial (−0,023% ± 0,518%, desvio de 19,9% para 12,4%): gestão de posição mexe no FORMATO e é lida como se tivesse mexido no CENTRO; (3) o GATE PELA CURVA DE PATRIMÔNIO reprova, e por falta de autocorrelação — esta é a previsão mais falsificável da família, porque o número já existe no corpus: a fonte declara que «primeiro é preciso descobrir se os retornos são positivamente autocorrelacionados», e `confirmacoes.py` publica, em 742.175 dias de cripto, que a direção diária é cara-ou-coroa SEM MEMÓRIA; (4) a MÉDIA PARA BAIXO será a pior da família e morrerá no CONTROLE 1, concentração, porque adicionar nas perdas engorda a cauda — e a própria fonte já a reprova em 3 de 4 mercados; (5) o coveiro em cripto será o CONTROLE 1 e não o benchmark, que é a correção da previsão refutada na parte 76 e o que a parte 74 já tinha estabelecido: em cripto, o que rende muito rende concentrado; (6) a BASE de 80 dias irá melhor que qualquer camada sobre ela.

Quotations from the source were translated from the Portuguese record and back into English — they are not the author's exact words.

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 held in the other market too, on independent data.

This claim has been audited once — there is no history to compare against.

record 62ea87bf55d4 · 2026-08-04 16:38

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.