AlphaBrief — crypto algorithmic analysis

Daily Alpha Brief — 2026-08-24 — BULL regime across majors

Bayesian crypto brief for 2026-08-24: BULL regime, strategy performance, weight shifts, and quant-vs-crowd sentiment across 9 symbols.

TL;DR

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

Current Bayesian strategy weights Current Bayesian reliability weights, averaged across the universe.

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

🌐 Market Indices

Fear & GreedBTC DominanceTotal Market Cap24h Volume
77/100 — Greed59.2% (balanced)$2.62T (+0.17%)$91B

Crowd reads greed at 77/100; BTC dominance 59.2% signals balanced.

🌐 Market Overview

Economic (FRED):

Yield CurveFed RateM2 YoY
🟡 +0.50% (Flat)3.63%+5.5%

Stablecoin dominance 9.8% (risk-on); yield curve regime Flat.

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

BTCETHSOLTop Mover
+0.010%+0.010%+0.010%BTC (+0.010%, balanced)

Economic Calendar: Next FOMC: in 23 days | Next CPI: in 18 days | position-size modifier 1.00×.

📊 Regime Analysis

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

SymbolRegimeSignal
AVAX/USDTBEAREXECUTE
BNB/USDTBULLEXECUTE
BTC/USDTBULLEXECUTE
DOGE/USDTBEAREXECUTE
ETH/USDTBULLEXECUTE
SOL/USDTBULLEXECUTE
SUI/USDTBEARWATCH
WIF/USDTBEARWATCH
XRP/USDTBULLEXECUTE

The book is broadly bullish: 5 BULL / 4 BEAR of 9 symbols.

🔗 Correlation Signals

Stable pairs (r > 0.70): SUI/AVAX: r=0.87 ✅ | BNB/SUI: r=0.87 ✅ | SOL/SUI: r=0.84 ✅ | SOL/BNB: r=0.84 ✅ | DOGE/SUI: r=0.83 ✅ | XRP/SUI: r=0.82 ✅

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.

StrategyAvg P&L / tradeWin RateAvg SharpeEdgeTrades
tsmom+24.2954%13.38+13.0567
ema_cross+15.2147%6.79+7.1466
post_shock_reversal+14.0841%8.34+5.74287
bollinger+13.0940%4.09+5.19111
rsi_macd+9.3541%4.10+3.8568
walk_forward_ema+9.8538%1.69+3.74116
volume_spike+8.1536%6.46+2.95345
sentiment_strategy+0.000%0.00+0.000
correlation_strategy+0.000%0.00+0.000
macro_strategy+0.000%0.00+0.000

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

🧠 Bayesian Weight Shifts

SymbolTop moverWeight ΔLead strategy (conf)
AVAX/USDTpost_shock_reversal-0.294sentiment_strategy (67%)
SOL/USDTrsi_macd+0.218bollinger (70%)
ETH/USDTema_cross+0.213walk_forward_ema (74%)

AVAX/USDT (BEAR):

walk_forward_ema is the clearest action: 7d shows 0% win-rate, deeply negative Sharpe (-11.51), and -165 pnl on 4 trades — rule 2/3 fires and I cut it to 0.10, just above the floor. bollinger has a puzzling profile (25% win-rate breaches rule 2 threshold) but its 7d Sharpe of 1.80 and positive pnl of +48 suggest profits are concentrated; in a BEAR regime mean-reversion is out-of-favour so I trim it from 0.589 to 0.45 rather than raise it, respecting both the low win-rate and the regime conflict. volume_spike and post_shock_reversal both show extreme 24h distress (sharpes of -7 and -14) but their 7d metrics are strongly positive (Sharpe 10.16/14.19, pnl +630/+900); the 24h window is treated as noise per the rubric’s 7d dominance rule, so I hold volume_spike near current and nudge post_shock_reversal slightly down from 0.644 to 0.55 given its mean-reversion nature conflicting with the BEAR trend. sentiment_strategy has 3-source coverage with 100% confluence both windows, supporting a near-current weight of 0.62; all zero-trade strategies (rsi_macd, ema_cross, tsmom, correlation_strategy, macro_strategy) are held within ±0.05 of their current 0.263 weight per rule 1.

SOL/USDT (BULL):

Bollinger is the standout performer (7d 67% win, Sharpe 14.30, +600 pnl) and earns a raise to 0.82 despite being a mean-reversion strategy in a BULL regime — the data overwhelmingly overrides the regime prior per rule 6. volume_spike has strong 7d metrics (Sharpe 11.82, +629 pnl, 48% win) but its 24h collapse (25% win, Sharpe -22, -203 pnl) is a warning flag, so it is trimmed modestly to 0.68. walk_forward_ema is cut to 0.10 on persistent 7d underperformance (30% win, Sharpe -4.99, -140 pnl per rules 2-3), and post_shock_reversal is trimmed to 0.44 given its 7d win-rate of 39% — a mean-reversion strategy that struggles even in a ranging window warrants caution. rsi_macd sits at borderline 5 trades on 7d with a negative Sharpe so receives only a minor downward nudge; ema_cross and tsmom hold near current weights given zero or thin trade data, with tsmom getting a small BULL-regime momentum nudge; sentiment, correlation, and macro remain near current weights as non-price voters with no new signals to act on.

ETH/USDT (BULL):

volume_spike is the clearest loser: 7d win-rate 29% with negative Sharpe (-1.73) and negative pnl (-89.31), triggering rules 2 and 3 for a meaningful cut from 0.479 to 0.28. rsi_macd also shows persistent underperformance (7d win-rate 33%, below the 30% threshold on rule 2) despite an anomalously high Sharpe that likely reflects very few large winning trades masking a poor hit-rate, so it is reduced from 0.563 to 0.42; ema_cross and walk_forward_ema are trimmed only modestly because 7d win-rates (40%) and positive Sharpes keep them above the cut threshold and the BULL regime gives them a small alignment nudge. post_shock_reversal is the strongest concrete performer (7d 45% win, Sharpe 14.51, +802 pnl) and earns a lift to 0.52 despite being mean-reversion-family in a BULL regime, because the data overrides the regime prior per rule 6; tsmom stays near its current low weight given zero trades (rule 1); sentiment stays near current with a slight trim reflecting only modest confluence (67%) and near-neutral composite; correlation_strategy and macro_strategy both have zero trades and no actionable signal so they hold near their current low weights.

📡 Signal Outlook

SymbolDecisionConfidenceLeadConfluence
AVAX/USDTEXECUTE67%sentiment_strategy (0.67)⚡ Confluence
BNB/USDTEXECUTE80%rsi_macd (0.80)
BTC/USDTEXECUTE73%sentiment_strategy (0.73)⚡ Confluence
DOGE/USDTEXECUTE67%sentiment_strategy (0.67)⚡ Confluence
ETH/USDTEXECUTE74%walk_forward_ema (0.74)⚡ Confluence
SOL/USDTEXECUTE70%bollinger (0.70)⚡ Confluence
SUI/USDTWATCH56%sentiment_strategy (0.56)
WIF/USDTWATCH55%sentiment_strategy (0.55)
XRP/USDTEXECUTE83%ema_cross (0.83)⚡ Confluence

💼 Shadow Portfolio

MetricValue
Total Value$729.47
P&L since 2026-06-14-270.53 (-27.05%)
vs BTC Buy&Hold-44.01% (B&H +16.96%)
vs ETH Buy&Hold-67.69% (B&H +40.64%)
Open Positions0
Win Rate34.7% (1495 closed)

$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.)

SymbolSentimentCrowdConfluence
AVAX/USDT+0.71bullish🟢 crowd bullish
BNB/USDT-0.10neutral➡️ neutral
BTC/USDT+0.32bullish🟢 crowd bullish
DOGE/USDT+0.81bullish🟢 crowd bullish
ETH/USDT+0.48bullish🟢 crowd bullish
SOL/USDT+0.35bullish🟢 crowd bullish
SUI/USDT+0.50bullish🟢 crowd bullish
WIF/USDT+0.50bullish🟢 crowd bullish
XRP/USDT+0.69bullish🟢 crowd bullish

Most-talked alt: DOGE/USDT at +0.81 (bullish crowd lean).

📰 Today’s Key Reads

Curated from 3 sources monitored today:

🔴 BounceBit to sunset blockchain, migrate to BNB Chain after $3 million exploittheblock — Score: -0.79

🟢 XRP on track for biggest weekly gain in 21 months as Treasury buyback spurs ‘curve control’ hopescoindesk — Score: +0.78

🟢 Avalanche’s Nahas: Token prices are down, but ‘I’ve never seen more opportunities’ in cryptotheblock — Score: +0.77

🟢 Ripple backs an RLUSD credit fund amid XRP’s best week in monthscoindesk — Score: +0.77

⚠️ Bitcoin and gold surge as Bessent’s intervention in bond market hits dollarft_markets — Score: +0.18

📈 System Architecture

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

Academic Footnote

Wen et al. (2022) — overreaction and short-term reversal in crypto.

Disclaimer

This is algorithmic analysis only, not financial advice.