Daily Alpha Brief — 2026-08-02 — SIDEWAYS regime across majors

Bayesian crypto brief for 2026-08-02: SIDEWAYS regime, strategy performance, weight shifts, and quant-vs-crowd sentiment across 9 symbols.

TL;DR

• Dominant regime: SIDEWAYS (0 bullish / 1 bearish of 9 symbols).
• Top signal: bollinger on XRP raised 0.317 (0.35 → 0.67).
• Shadow portfolio: $740 (-26.02%), 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 fear at 33/100; BTC dominance 58.5% signals balanced.

🌐 Market Overview

Economic (FRED):

Stablecoin dominance 11.4% (risk-off, money fleeing crypto); yield curve regime Flat.

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

Economic Calendar: Next FOMC: in 45 days | Next CPI: in 10 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 / 1 BEAR of 9 symbols.

🔗 Correlation Signals

Stable pairs (r > 0.70): ETH/SOL: r=0.90 ✅ | BTC/ETH: r=0.89 ✅ | BTC/SOL: r=0.86 ✅ | SOL/SUI: r=0.84 ✅ | SOL/DOGE: r=0.84 ✅ | ETH/XRP: r=0.83 ✅

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

XRP/USDT (SIDEWAYS):

volume_spike is the clearest data-driven cut: 7d win-rate of 22% and Sharpe of -7.74 with -134 pnl triggers rules 2-3 hard, dropping it near the floor despite the positive 24h window (which is only 6 trades vs 27 weekly). bollinger earns a modest raise — only 1 trade (rule 1 low-sample guard limits the move to +/-0.05) but it is positive, regime-aligned for SIDEWAYS, and consistent; kept near +0.07 of current. tsmom has 17 weekly trades but a 29% win-rate, which is below 30% and would normally warrant a cut, yet the positive Sharpe (5.57) and positive pnl (+121) signal the losses are small and wins are large — conflict between win-rate rule and risk-adjusted rule resolved by a measured reduction rather than a hard cut, landing at 0.38. sentiment_strategy holds near current at 0.65 given 4-source coverage and improving 7d confluence of 75% with a mildly positive composite, consistent with its regime-neutral role; all zero-trade strategies (rsi_macd, ema_cross, walk_forward_ema, correlation_strategy, macro_strategy) stay within +/-0.02 of their current weights per rule 1.

WIF/USDT (SIDEWAYS):

volume_spike is the clearest action item: 74 trades over 7d with only 14% win-rate, deeply negative Sharpe (-16.12) and pnl (-881), triggering rule 2+3 for a hard cut to 0.13. post_shock_reversal shows a 7d Sharpe of 4.80 with positive pnl (+286) but a 0% 24h win-rate across 7 trades is a red flag; the 7d data wins per the rubric but the 24h conflict warrants caution, so I apply only a modest reduction from 0.501 to 0.46 rather than a boost — SIDEWAYS regime supports mean-reversion but the 29% 7d win-rate barely clears the rule-2 threshold. walk_forward_ema has only 1 trade on 7d with negative Sharpe, so rule 1 applies but the negative signal nudges it slightly lower to 0.10. All other strategies have zero trades (rule 1 low-sample guard), so they stay within +/-0.03 of current weight; sentiment_strategy is held near its current weight given sparse, low-confluence coverage (2 sources, 50% confluence, near-neutral composite).

SUI/USDT (SIDEWAYS):

Bollinger has 13 trades over 7d but a win-rate of only 31% (below 40% threshold) despite a positive Sharpe and pnl — the low win-rate prevents a full rule-4 boost, so I trim it modestly from 0.537 toward 0.48, consistent with a SIDEWAYS regime that normally favours it but with data showing more losers than winners. Volume_spike fires 96 trades in 7d with a 27% win-rate, triggering rule 2 (persistent underperformance below 30%), so I cut it from 0.530 to 0.42 despite the positive pnl, which is driven by a few large wins masking the poor hit-rate. Post_shock_reversal shows a 28% 7d win-rate (borderline rule 2) and a sharply negative 24h Sharpe (-5.42), signalling recent deterioration; I trim it from 0.513 to 0.45 as a cautious de-risk rather than a full cut, since the 7d Sharpe and pnl are still positive. All zero-trade strategies (rsi_macd, ema_cross, tsmom, walk_forward_ema, correlation_strategy, macro_strategy) are held at their current weights per rule 1, and sentiment_strategy is held at 0.52 given stable but weak-conviction coverage (3 sources, 67% confluence, near-neutral composite).

📡 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): +0.05 (neutral) — “Do you really, really love your job? Then you’re not alone, according to surprising results from thi”.

Most-talked alt: DOGE/USDT at +0.51 (bullish crowd lean).

📰 Today’s Key Reads

Curated from 3 sources monitored today:

🟢 Bitcoin, ether fall, equities rally with broader crypto market on track for best month in a year — coindesk — Score: +0.64

🟢 BNB Chain ‘pursuing legal action’ against former employee over memecoin launched from tutorial wallet — theblock — Score: +0.55

🔴 XRP Ledger upgrade brings back features once pulled over critical bugs — coindesk — Score: -0.32

🔴 TD Cowen cuts Sharplink price target to $13 on lower 2026 ether outlook — theblock — Score: -0.30

⚠️ China threatens retaliation against U.S. humanoid robot ban, says it ‘severely damages’ relations — cnbc_finance — Score: +0.06

Academic Footnote

Tzouvanas et al. (2020) — moving-average trading rules for Bitcoin.

Disclaimer

This is algorithmic analysis only, not financial advice.