Data-driven crypto analytics | Regime detection • Risk filters • Money flow No hype. No signals. Probability-based insights only.

Joined January 2026
Round 3: NATR. ATR(14) on 4h candles over price, the "volatility" most dashboards show. Given its own scale, refitted the same way. 20 days ahead: loses to MSM in 9 of 9 coins (t 4.6). GARCH and the plain average beat it too.
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Round 2: every model refitted every 125 days. MSM still beats GARCH at every horizon, 1 to 100 days. t 2.7 at 20 days, ahead in 8 of 9 coins. The stale level had inflated the edge, not created it.
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BTC's extreme hourly moves got rarer after Jan 2024 ETFs. Ran the control: 7 no-ETF coins thinned the same way. Alts moved FIRST — Q3 2023, after BlackRock filed. BTC followed in Q4. Not the ETFs. The market turned. reddit.com/r/algotradingcryp…
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Test 2: four BTC shocks since August (>3 sd in 4h, all up). Share of the signal change made in the first turn after the shock: 66%, 100%, 95%, 100%. Then nothing new. The indicators contain the shock bar, so they jump. Fast, but for free.
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Test 1: BUY share vs the market, from 48h before the signal to 48h after. Past 48h: correlation 0.17–0.28 at every lag, outside the noise band. Next 48h: about zero. It remembers. It doesn't foresee.
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My live card said: in the last hour, DOGE absorbed 85% of large orders, XRP only 30%. Looks like a story. Three weeks of history says every pair sits at 47–51%. A large order that pushes price is close to a coin flip: half fade, half stick
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Swing size: real 0.69 vs shuffled 0.67. SNR 1.1. LUNA, FTX and Aug 2024 don't stand out from a shuffled calendar. The tail is fat in every window, and swings no more than noise would.
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The right null isn't IAAFT. It destroys volatility clustering, so beating it just proves vol clusters. I fitted GARCH(1,1)-t to each window instead. BTC 4H, 12 windows, 2021–2026: 1 of 12 beats it. 0 of 12 once tails are removed.
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Lesson 2: pooling. BUY: +0.39. SELL: +0.30. Same sign both ways. Pool them: 0.000. Removed signals are 70% BUY, kept ones 41% BUY. BUYs earned more in this period, so the mix cancels the effect exactly. Simpson's paradox.
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Signals it removes vs signals it keeps, 24h forward: Hit rate, BUY: +0.6 pts (SNR 0.6) Hit rate, SELL: −1.0 pts (SNR −0.9) Avg return, BUY: +0.39 pts (SNR 3.1) Avg return, SELL: +0.30 pts (SNR 3.6)
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