Daily Alpha Brief — 2026-07-15 — SIDEWAYS regime across majors

Bayesian crypto brief for 2026-07-15: 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 SUI raised 0.324 (0.32 → 0.65).
• Shadow portfolio: $757 (-24.27%), 2 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 34/100; BTC dominance 58.5% signals balanced.

🌐 Market Overview

Economic (FRED):

Stablecoin dominance 11.1% (risk-off, money fleeing crypto); yield curve regime Flat.

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

Economic Calendar: Next FOMC: in 14 days | Next CPI: in 0 days | position-size modifier 0.60×.

📊 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): SOL/XRP: r=0.87 ✅ | ETH/SOL: r=0.87 ✅ | BTC/ETH: r=0.87 ✅ | BTC/SOL: r=0.86 ✅ | SOL/DOGE: r=0.86 ✅ | XRP/DOGE: r=0.86 ✅

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

SUI/USDT (SIDEWAYS):

rsi_macd, ema_cross, tsmom, correlation_strategy, and macro_strategy all have zero trades in both windows — rule 1 applies strictly and weights are held within +/-0.05 of current. volume_spike has ample data (102 7d trades) but a deeply poor win rate of 25% with negative 24h Sharpe, triggering rule 2/3 cuts from its inflated 0.593 prior down to 0.44. post_shock_reversal shows 59 7d trades with a positive pnl of 535 but only 36% win rate; its Sharpe metrics are suspiciously extreme (likely artefact of low volatility in pnl), so rule 2 keeps it from a full raise while the mean-reversion SIDEWAYS regime partially supports it, landing at 0.60. bollinger gets a modest SIDEWAYS-regime bump to 0.35 despite its single 7d trade being too thin for rule 4 confidence; sentiment_strategy is nudged down slightly to 0.43 given sparse sources (2) and weak confluence (50%) per sentiment weighting guidance.

ETH/USDT (SIDEWAYS):

Most strategies have zero trades on 7d so rule 1 applies broadly — weights are held within ±0.05 of current. walk_forward_ema is the clear exception: 4 trades, 0% win-rate, Sharpe of -12.81, and -95 pnl triggers rule 2/3, so I cut it from 0.475 toward 0.20 (a meaningful reduction justified by strongly negative data despite thin sample). post_shock_reversal shows a deceptive 24h flash of +100% but its 7d reality is 24% win-rate, negative Sharpe (-1.05), and negative pnl (-23.98), firing rule 3 and partially rule 2, so I reduce it from 0.287 to 0.20. sentiment_strategy retains 3-source coverage with 67% confluence and mildly positive composite — adequate but not exceptional — so it stays near its current 0.615, nudged slightly down to 0.62; bollinger gets a token SIDEWAYS-regime nudge to 0.38 on its single profitable 7d trade, but the sample is too thin for a larger move.

DOGE/USDT (BEAR):

rsi_macd, ema_cross, bollinger, walk_forward_ema, correlation_strategy, and macro_strategy all have zero trades across both windows, so rule 1 applies universally — weights are held at current levels. volume_spike has adequate 7d sample (42 trades) but a dismal 26% win-rate (rule 2 partial: below 30% triggers a reduction), partially offset by positive pnl and Sharpe, so a modest trim to 0.175 is warranted. tsmom has only 3 7d trades (rule 1 thin-data guard) but all three lost (0% win-rate, Sharpe -6.20, pnl -93.96), justifying a cautious cut of ~0.05 to 0.124 within the thin-data constraint. post_shock_reversal shows 8 trades with 38% win-rate but a very strong Sharpe of 5.85 and positive pnl; in a BEAR regime mean-reversion is modestly favoured, so a small raise to 0.200 is supported. sentiment_strategy retains its weight at 0.621 given stable 3-source coverage and consistent 67% confluence, though the near-neutral avg_composite (+0.06) and BEAR regime provide no basis to move it further.

📡 Signal Outlook

💼 Shadow Portfolio

Open positions:

$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: -1.00 (bearish crowd).
• Macro signal (FT/Fed/CNBC): +0.03 (neutral) — “These underperforming trades could yield big returns over next six months”.

Most-talked alt: WIF/USDT at -1.00 (bearish crowd lean).

📰 Today’s Key Reads

Curated from 3 sources monitored today:

🟢 Japan’s largest security token platform moves nearly $3 billion to Avalanche blockchain — theblock — Score: +0.74

🟢 What Is RLUSD? Ripple’s XRP-Native Stablecoin Explained — theblock — Score: +0.73

🔴 XRP and ether bulls are getting louder as prices fall, signaling more trouble ahead — coindesk — Score: -0.46

🟢 UK Treasury report on tokenization cites Ripple as convergence model — coindesk — Score: +0.20

⚠️ These underperforming trades could yield big returns over next six months — cnbc_finance — Score: +0.11

Academic Footnote

Miralles-Quirós (2022) — post-shock reversals in digital assets.

Disclaimer

This is algorithmic analysis only, not financial advice.