Daily Alpha Brief — 2026-06-21 — BEAR regime across majors

Bayesian crypto brief for 2026-06-21: 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 BNB cut 0.279 (0.69 → 0.41).
• Shadow portfolio: $915 (-8.51%), 2 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 38 days | Next CPI: in 24 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

BNB/USDT (SIDEWAYS):

rsi_macd, ema_cross, correlation_strategy, and macro_strategy all have zero 7d trades and are held near their current weights per rule 1 (thin data). volume_spike is cut firmly from 0.689 toward 0.40 under rules 2-3: 7d win-rate of 33% and a deeply negative 7d Sharpe of -1.81 with negative pnl signal persistent failure, compounded by the SIDEWAYS regime where breakout signals are especially noisy. bollinger gets a modest lift to 0.65 (from 0.604) — its 7d Sharpe of 5.06 and positive pnl are strong, and it is the canonical SIDEWAYS strategy, though the 48% win-rate is only modest so we resist a larger raise. post_shock_reversal stays broadly elevated but is trimmed slightly to 0.58 because despite its outsized 7d pnl (+193), its 7d win-rate of only 38% and the SIDEWAYS-but-not-post-shock context introduce caution. tsmom edges down to 0.30 as a momentum strategy in a ranging market with a sub-50% 7d win-rate; walk_forward_ema is held near current at 0.27 given only 1 trade (rule 1) with a negative Sharpe. sentiment_strategy is nudged down slightly to 0.44 reflecting sparse coverage (3 sources) and very low confluence (33%), indicating contradictory signals per the sentiment weighting rules.

DOGE/USDT (BEAR):

rsi_macd, ema_cross, tsmom, correlation_strategy, and macro_strategy all have zero trades in both windows (rule 1: hold within ±0.05 of current weight). volume_spike is the clearest casualty: 7d win-rate 32% with a deeply negative Sharpe of -2.09 and -97.50 pnl across 60 trades — rules 2 and 3 both fire, cut to 0.25. walk_forward_ema is also punished: 7d win-rate 17% and Sharpe -9.19 with -156.21 pnl, rule 2 fires hard, reduced toward 0.22. bollinger has 7d win-rate 35% and a marginally negative Sharpe (-0.01), so it earns only a modest cut from 0.51 to 0.42 per rule 3, resisting the BEAR regime boost because the data does not support it; post_shock_reversal shows positive 7d pnl (+193.39) and a high Sharpe (3.92) despite a win-rate of only 37%, suggesting large winning trades — the mean-reversion nature suits a post-shock BEAR environment, so it is raised modestly to 0.45. Sentiment_strategy holds near its current weight given stable 3-source coverage and 67% confluence at a mildly positive composite, with no strong reason to move it.

PEPE/USDT (BEAR):

Bollinger is the clear standout with 23 trades, 57% win rate, and Sharpe of 8.26 on 7d, earning a raise to 0.68 per rule 4; it also benefits from the BEAR regime’s mean-reversion uplift. Volume_spike is sharply penalised — 0% win rate on 24h and 30% on 7d with a deeply negative Sharpe (-1.83) and negative pnl across both windows, triggering rules 2-3 and a cut toward 0.20. tsmom shows 31% win rate and negative 7d Sharpe (-1.84) with negative pnl, so it is cut to 0.20 per rules 2-3; walk_forward_ema is even worse (25% win, -4.15 Sharpe, -162 pnl) and is pressed near the floor at 0.10 per the conflict rule — momentum strategies failing in a BEAR regime. rsi_macd, ema_cross, correlation_strategy, and macro_strategy all have zero trades and are held within ±0.05 of current weight per rule 1; post_shock_reversal has marginally positive 7d pnl and Sharpe but poor 24h execution so it is modestly trimmed to 0.45; sentiment_strategy retains near its current weight given stable 3-source coverage and 67% confluence.

📡 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).

Most-talked alt: DOGE/USDT at +0.94 (bullish crowd lean).

📰 Today’s Key Reads

Curated from 3 sources monitored today:

🟢 XRP Reversal Setup Forms Around Harmonic Pattern And Key Support Zone — bitcoinist — Score: +1.00

🔴 Notorious ‘sandwich attack’ bot Jaredfromsubway.eth exploited for $7.5M — cointelegraph — Score: -0.74

🟢 Trump’s speech at Davos gives small boost to Crypto! Saylor buys $2.13B BTC! Blondish Interview! — decrypt — Score: +0.73

🟢 ETH/BTC Ratio Falls Back To Early-2023 Levels As Traders Debate Ethereum Value — bitcoinist — Score: +0.69

🟢 Trump Tariffs 3: Return of the Bull Market! NYSE Tokenising, what that means for $Hype! Claude Meme Meta! — decrypt — Score: +0.58

Academic Footnote

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

Disclaimer

This is algorithmic analysis only, not financial advice.