Daily Alpha Brief — 2026-10-30 — SIDEWAYS regime across majors

Bayesian crypto brief for 2026-10-30: SIDEWAYS regime, strategy performance, weight shifts, and quant-vs-crowd sentiment across 9 symbols.

TL;DR

• Dominant regime: SIDEWAYS (0 bullish / 4 bearish of 9 symbols).
• Top signal: bollinger on BNB cut 0.411 (0.69 → 0.28).
• Shadow portfolio: $721 (-27.86%), 0 open, 35% win rate.

Shadow portfolio value since inception (dashed line = $1,000 starting capital).

Current Bayesian reliability weights, averaged across the universe.

Detected regime per symbol (EMA200 + ADX); % = lead-strategy conviction.

🌐 Market Indices

Crowd reads neutral at 45/100; BTC dominance 60.1% signals balanced.

🌐 Market Overview

Economic (FRED):

Stablecoin dominance 9.3% (risk-on); yield curve regime Flat.

Funding Rates (contrarian — heavy positive = crowded longs to fade):

Economic Calendar: Next FOMC: in 40 days | Next CPI: in 14 days | position-size modifier 1.00×.

📊 Regime Analysis

Regime per symbol from EMA200 + ADX on daily candles, with the fusion signal.

The book is broadly bearish: 0 BULL / 4 BEAR of 9 symbols.

🔗 Correlation Signals

Stable pairs (r > 0.70): BTC/ETH: r=0.93 ✅ | SUI/AVAX: r=0.92 ✅ | DOGE/SUI: r=0.92 ✅ | ETH/SOL: r=0.91 ✅ | SOL/DOGE: r=0.91 ✅ | BTC/SOL: r=0.91 ✅

Index signals: BTC dominance NEUTRAL → no rotation; Fear & Greed contrarian NONE.

⚙️ Strategy Performance

Aggregate 7-day performance per strategy (replayed across the universe). Edge = win-rate × avg P&L per trade — the table is sorted by it.

All P&L figures normalized to a 100 USDT position size for comparability (not summed across symbols).

🧠 Bayesian Weight Shifts

BNB/USDT (SIDEWAYS):

Bollinger is the dominant mover: despite the SIDEWAYS regime favouring mean reversion, it has 50 trades with a 28% win-rate, deeply negative Sharpe (-7.25) and negative pnl (-233.81), triggering rules 2 and 3 simultaneously — a clear band-walk casualty even in a ranging market, so I cut it hard to 0.10. Volume_spike also fires rules 2-3 on 68 trades with 22% win-rate and -9.37 Sharpe (-448.84 pnl), cut to 0.10. Tsmom is weak (31% win, negative Sharpe on 64 trades) and misaligned with SIDEWAYS, reduced to 0.18. Walk_forward_ema leads performers with solid 7d Sharpe (8.20) and pnl (+204.56) on adequate sample, raised to 0.65; ema_cross is positive pnl/Sharpe on 28 trades and nudged up slightly to 0.52; post_shock_reversal has positive pnl/Sharpe on 67 trades and is regime-aligned as a mean-reversion strategy, held near current at 0.48. Rsi_macd and sentiment_strategy have thin data (2 trades and near-neutral sentiment with only 33% 24h confluence) so kept close to current weights with minimal adjustments; correlation_strategy and macro_strategy remain near current with zero signal activity.

SUI/USDT (SIDEWAYS):

Bollinger is cut from 0.623 toward 0.45 despite SIDEWAYS regime alignment because its 7d metrics are deeply negative (27% win, -2.14 Sharpe, -75.88 pnl), triggering rules 2 and 3 — the data clearly overrides the regime prior (rule 6); it stays above neutral only because SIDEWAYS is its natural home and the cut is bounded by smoothness (rule 7). Volume_spike is cut to 0.18 per rules 2-3: the 7d record of 78 trades at 21% win rate and -2.09 Sharpe/-139.55 pnl is persistent underperformance, and the impressive 24h Sharpe is a one-day anomaly on a small sample. Post_shock_reversal gets a modest lift to 0.55 — its 7d Sharpe of 3.68 and positive pnl are strong, though the 29% win rate keeps the raise measured; it is also a mean-reversion type suited to SIDEWAYS. Walk_forward_ema, rsi_macd, ema_cross, tsmom, correlation_strategy, and macro_strategy all have zero or near-zero 7d trades (rule 1), so they are held within ±0.01 of their current weights; sentiment_strategy has neutral, low-coverage signals (2 sources, near-zero composite) so it is held close to current.

AVAX/USDT (SIDEWAYS):

Bollinger triggered rule 2+3 (7d win 0%, Sharpe -12.66, negative pnl) despite being the regime-favoured mean-reversion strategy — the data clearly wins over the SIDEWAYS prior (rule 6), so it is cut from 0.443 to 0.25. Post_shock_reversal is equally damning (7d win 21%, Sharpe -3.20, pnl -122) and cut from 0.430 to 0.20 per rules 2-3. Volume_spike has a contradictory 24h (negative Sharpe, 33% win) versus a strong 7d (Sharpe 3.58, +253 pnl, 90 trades) — the 7d window dominates and the SIDEWAYS regime bump is warranted, but the 24h weakness and 29% win-rate cap the raise to 0.60. Tsmom and walk_forward_ema have sub-5 or borderline sample counts with mixed signals (low win-rates but positive Sharpe/pnl), so modest trims apply per the low-sample guard; rsi_macd, ema_cross, correlation_strategy, macro_strategy, and sentiment_strategy all have zero price-trades or stable non-price signals and are held near current weights.

📡 Signal Outlook

💼 Shadow Portfolio

$1,000 USDT paper portfolio, 1% risk/trade, MEXC fees modelled. No real capital is deployed.

📡 Discourse Radar

Crowd-vs-quant sentiment from CryptoCompare news, crypto RSS, the macro feeds (FT / Fed / CNBC), and the Fear & Greed index. (Reddit retired — Responsible Builder Policy restrictions, 2026.)

• Fear & Greed: -0.50 (bearish crowd).
• Macro signal (FT/Fed/CNBC): +0.03 (neutral) — “Federal Reserve Board finalizes changes to enhance the transparency and public accountability of its”.

Most-talked alt: WIF/USDT at -0.50 (bearish crowd lean).

📰 Today’s Key Reads

Curated from 3 sources monitored today:

🟢 Strategy reports $19.5 billion in Q3 net income as preferred shareholders approve daily dividends — theblock — Score: +0.46

🟢 Ark Invest buys $5.2 million of Circle shares, sells $15.9 million of its own Bitcoin ETF as BTC grinds lower — theblock — Score: +0.33

🟢 XRP Ledger developers propose creating wallets with zero XRP for stablecoin payments — coindesk — Score: +0.30

🔴 Security failure at Indian certificate firm bites Ethereum as developers rush out fixes — coindesk — Score: -0.23

⚠️ This is a very interesting time for trashy credit (and all those who love it) — ft_markets — Score: +0.14

Academic Footnote

Shen et al. (2021) — time-series momentum in cryptocurrency markets.

Disclaimer

This is algorithmic analysis only, not financial advice.