Daily Alpha Brief — 2026-06-22 — BEAR regime across majors

Bayesian crypto brief for 2026-06-22: BEAR regime, strategy performance, weight shifts, and quant-vs-crowd sentiment across 10 symbols.

TL;DR

• Dominant regime: BEAR (0 bullish / 8 bearish of 10 symbols).
• Top signal: volume_spike on SOL cut 0.253 (0.50 → 0.25).
• Shadow portfolio: $922 (-7.84%), 0 open, 37% 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 21/100; BTC dominance 58.4% signals balanced.

🌐 Market Overview

Economic (FRED):

Stablecoin dominance 11.5% (risk-off, money fleeing crypto); yield curve regime Flat.

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

Economic Calendar: Next FOMC: in 37 days | Next CPI: in 23 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 / 8 BEAR of 10 symbols.

🔗 Correlation Signals

Stable pairs (r > 0.70): DOGE/SUI: r=0.88 ✅ | SOL/DOGE: r=0.88 ✅ | BTC/SOL: r=0.88 ✅ | ETH/SOL: r=0.87 ✅ | BTC/DOGE: r=0.86 ✅ | SOL/SUI: r=0.85 ✅

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

SOL/USDT (BEAR):

volume_spike is the clearest case: 7d win-rate of 28% with a deeply negative Sharpe (-6.37) and large negative pnl (-393) fires rules 2 and 3 simultaneously, so I cut it sharply toward 0.15. post_shock_reversal similarly shows 7d win-rate of 28% and a negative Sharpe (-4.49) with large negative pnl (-326), warranting a significant cut from 0.706 toward 0.50 (rule 2/3); its mean-reversion nature also conflicts with the BEAR regime, reinforcing the reduction. bollinger has strong 7d volume (48 trades) and positive pnl (+480) but a below-50% win-rate (44%) in a BEAR regime where band-walk risk is elevated, so I trim it modestly from 0.828 toward 0.75 rather than fully rewarding it. tsmom shows 7d win-rate of 60% and positive Sharpe (7.87) with only 10 trades, warranting a cautious small raise per rule 4 tempered by the low-sample guard; rsi_macd, ema_cross, walk_forward_ema, correlation_strategy, and macro_strategy all have zero or very thin 7d data and are held near their current weights per rule 1, while sentiment_strategy gets a small lift on good source coverage (4 sources) and 75% confluence.

BTC/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 and weights are held within +/-0.05 of current. volume_spike has 65 7d trades but a deeply negative Sharpe (-4.58) and low win-rate (29%), triggering rule 2/3 for a cut from 0.33 to 0.20. tsmom has only 4 7d trades (rule 1 thin-data guard) but the metrics are genuinely strong (75% win, 9.27 Sharpe, positive pnl) and it is a momentum strategy aligned with the BEAR regime, so a modest +0.025 nudge to 0.30 is warranted. post_shock_reversal has 75 7d trades with a negative Sharpe (-0.32) and negative pnl despite an inflated 24h window, so rule 3 fires and the weight is trimmed from 0.601 to 0.55; sentiment_strategy shows moderate 7d coverage (4 sources) and decent confluence (75%) but weak composite (+0.07 near neutral), so a small trim from 0.579 to 0.57 is appropriate.

ETH/USDT (BEAR):

rsi_macd, ema_cross, tsmom, correlation_strategy, and macro_strategy all have zero trades on both windows, so rule 1 applies and weights are held at or near their current levels. bollinger carries a suspicious 7d Sharpe of 7.95 (likely a scaling artifact) but win-rate of 40% and negative 7d pnl trajectory relative to its high current weight of 0.839 argue for a trim; in a BEAR regime mean-reversion also faces band-walk risk, so I cut it moderately to 0.75. volume_spike has a deeply negative 7d Sharpe (-2.04) and only 34% win-rate, triggering rule 3 and a cut to 0.30. post_shock_reversal shows a split: bad 24h (31% win, negative Sharpe/pnl) but solid 7d (41% win, Sharpe 5.16, +308 pnl); the 7d dominates per rubric so it is held near its current weight but trimmed slightly to 0.72 given BEAR-regime caution for mean-reversion. sentiment_strategy has weak confluence (50% on 7d, 33% on 24h) and a near-neutral composite (+0.09), warranting a pull toward 0.52; walk_forward_ema has only 10 7d trades (borderline rule 1) with modest 50% win-rate but positive Sharpe and pnl, so it is held near current at 0.55.

📡 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: -1.00 (bearish crowd).
• Macro signal (FT/Fed/CNBC): +0.10 (bullish) — “Federal Reserve Board announces termination of enforcement actions with UBS Group AG, Credit Suisse “.

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

📰 Today’s Key Reads

Curated from 4 sources monitored today:

🔴 Ethereum Foundation loses another key leader as co-executive director Hsiao-Wei Wang resigns — coindesk — Score: -0.56

🟢 Franklin Templeton files for ETFs that reinvest stock dividends into bitcoin — theblock — Score: +0.24

🟢 XRP falls 3% after losing $1.15 support as breakout attempt fades — coindesk — Score: +0.23

⚠️ CFTC chair Selig defends decision to approve ‘perps’ in U.S. — cnbc_finance — Score: +0.22

⚠️ UK investors need to stop buying rubbish stocks — ft_markets — Score: +0.16

📈 System Architecture

The four-panel Bayesian fusion engine behind these daily decisions (shown Mondays). See Methodology.

Academic Footnote

Care & Cumming (2024) — algorithmic trading and crypto market quality.

Disclaimer

This is algorithmic analysis only, not financial advice.