AlphaBrief — crypto algorithmic analysis

Daily Alpha Brief — 2026-10-19 — SIDEWAYS regime across majors

Bayesian crypto brief for 2026-10-19: SIDEWAYS 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
47/100 — Neutral60.3% (balanced)$2.70T (-1.13%)$51B

Crowd reads neutral at 47/100; BTC dominance 60.3% signals balanced.

🌐 Market Overview

Economic (FRED):

Yield CurveFed RateM2 YoY
🟡 +0.35% (Flat)3.75%+5.7%

Stablecoin dominance 9.5% (risk-on); yield curve regime Flat.

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

BTCETHSOLTop Mover
+0.007%+0.004%+0.007%BTC (+0.007%, balanced)

Economic Calendar: Next FOMC: in 9 days | Next CPI: in 25 days | position-size modifier 1.00×.

📊 Regime Analysis

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

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

The book is mixed: 3 BULL / 3 BEAR of 9 symbols.

🔗 Correlation Signals

Stable pairs (r > 0.70): SOL/XRP: r=0.94 ✅ | WIF/SUI: r=0.92 ✅ | SOL/SUI: r=0.92 ✅ | ETH/SOL: r=0.91 ✅ | XRP/SUI: r=0.91 ✅ | SOL/BNB: r=0.90 ✅

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
ema_cross+4.6337%4.22+1.71189
rsi_macd+3.7835%0.86+1.32247
walk_forward_ema+4.0732%2.60+1.30175
volume_spike+0.9630%0.43+0.29546
sentiment_strategy+0.000%0.00+0.000
correlation_strategy+0.000%0.00+0.000
macro_strategy+0.000%0.00+0.000
bollinger-2.6130%-4.45-0.78287
tsmom-3.6326%-5.25-0.9619
post_shock_reversal-3.8029%-4.14-1.11460

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)
WIF/USDTrsi_macd-0.229volume_spike (58%)
BTC/USDTpost_shock_reversal-0.198ema_cross (75%)
SUI/USDTpost_shock_reversal-0.170rsi_macd (65%)

WIF/USDT (BEAR):

rsi_macd and ema_cross have zero trades (rule 1 thin-data guard), so they are nudged only slightly toward their current weights with a small BEAR-regime momentum tilt applied conservatively. bollinger’s single 7d trade logged a Sharpe of -7.22 and -81 pnl — rule 3 fires and I cut it further from 0.285 toward 0.22, consistent with a BEAR band-walk risk. volume_spike is the anomaly: 61 trades over 7d with a 26% win-rate should trigger rule 2 (persistent underperformance), but its positive Sharpe of 3.22 and +203 pnl signal that the wins are large relative to losses — still, a 26% win-rate is just above the rule-2 threshold and below neutral, so I trim it modestly from 0.596 to 0.55. walk_forward_ema’s 24h Sharpe of 20.63 is a 2-trade artefact; the 7d window of 18 trades at 22% win and -1.27 Sharpe with negative pnl triggers rules 2 and 3, so I reduce it from 0.357 to 0.30; sentiment shows near-zero composite and only 2 sources with moderate confluence, so it drifts slightly toward neutral at 0.49; all other zero-trade strategies are held within ±0.03 of current weight per rule 1.

BTC/USDT (SIDEWAYS):

In this SIDEWAYS regime the biggest cuts go to rsi_macd (7d win 28%, Sharpe -5.50, pnl -176.70 — rule 2/3 persistent underperformance), tsmom (7d win 26%, Sharpe -5.25, pnl -68.95 — momentum family losing badly in a ranging market, rule 2/3), and walk_forward_ema (7d win 18%, Sharpe -3.60, pnl -67.28 — worst win-rate in the set, rule 2/3), both empirical momentum strategies already near floor. ema_cross is the anomaly: despite a ranging regime its 7d metrics are genuinely strong (50% win, Sharpe 7.56, +183 pnl), so per rule 6 the data wins over the regime prior and it earns a raise; bollinger gets a modest SIDEWAYS-aligned bump despite borderline 7d metrics (33% win but small positive Sharpe/pnl). post_shock_reversal is cut on its 7d negative Sharpe and 24h 0% win-rate, while volume_spike holds neutral on flat 7d metrics; sentiment_strategy stays near current with mild trim reflecting near-zero composite and moderate confluence; correlation_strategy and macro_strategy have zero trades in both windows so they are held at their current weights per the no-data guidance.

SUI/USDT (SIDEWAYS):

post_shock_reversal is the clearest action item: 7d win-rate of 30% with a Sharpe of -2.99 and pnl of -304.78 across 80 trades triggers rule 2/3 (persistent underperformance + negative risk-adjusted return), so I cut it materially from 0.411 to 0.20. bollinger should benefit from SIDEWAYS regime alignment but its 7d win-rate is only 34% with negative 24h Sharpe, so rule 2 overrides the regime nudge and I reduce it to 0.40 rather than raise it (conflict rule 6). volume_spike gets a small SIDEWAYS nudge per regime but its 7d pnl is negative (-13.44) on 78 trades with a near-zero Sharpe, so I trim it slightly to 0.44 rather than boost it. walk_forward_ema and ema_cross show positive 7d Sharpe and pnl despite the SIDEWAYS context, so I hold them near current or give a token reduction from their elevated 0.70+ levels to reflect regime misalignment with momentum; sentiment_strategy has minimal, near-neutral composite and only 2 sources, so I nudge it down to neutral 0.50; tsmom, correlation_strategy, and macro_strategy have zero trades and are held near their current weights per rule 1.

📡 Signal Outlook

SymbolDecisionConfidenceLeadConfluence
AVAX/USDTWATCH66%volume_spike (0.66)—
BNB/USDTEXECUTE79%rsi_macd (0.79)—
BTC/USDTWATCH75%ema_cross (0.75)—
DOGE/USDTWATCH59%sentiment_strategy (0.59)—
ETH/USDTEXECUTE91%ema_cross (0.91)⚡ Confluence
SOL/USDTEXECUTE84%walk_forward_ema (0.84)⚡ Confluence
SUI/USDTWATCH65%rsi_macd (0.65)—
WIF/USDTWATCH58%volume_spike (0.58)—
XRP/USDTEXECUTE64%sentiment_strategy (0.64)⚡ Confluence

💼 Shadow Portfolio

MetricValue
Total Value$721.49
P&L since 2026-06-14-278.51 (-27.85%)
vs BTC Buy&Hold-53.28% (B&H +25.43%)
vs ETH Buy&Hold-68.42% (B&H +40.57%)
Open Positions2
Win Rate35.1% (1787 closed)

Open positions:

SymbolSideEntryMarkUnreal. P&L
BTC/USDTlong8.24e+048.244e+04+0.07
WIF/USDTshort0.19870.1988-0.07

$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+0.50bullish🟢 crowd bullish
BNB/USDT-0.04neutral➡️ neutral
BTC/USDT+0.19bullish🟢 crowd bullish
DOGE/USDT+0.81bullish🟢 crowd bullish
ETH/USDT+0.37bullish🟢 crowd bullish
SOL/USDT+0.38bullish🟢 crowd bullish
SUI/USDT+0.50bullish🟢 crowd bullish
WIF/USDT+0.50bullish🟢 crowd bullish
XRP/USDT+0.64bullish🟢 crowd bullish

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

📰 Today’s Key Reads

Curated from 3 sources monitored today:

🟢 DeFi Development boosts CHAD dividend to 14% amid push to grow Solana holdings — theblock — Score: +0.48

🟢 XRP has failed to make holders rich like bitcoin and ether. Here’s why — coindesk — Score: +0.42

🟢 Ripple Prime adds RWA swaps referencing perpetual futures listed on Hyperliquid — theblock — Score: +0.27

🔴 Wall Street freaked out Friday, but VIX and bitcoin trades say the fear may fade Monday. — coindesk — Score: -0.27

⚠️ Williams says Fed may not have to hike rates in 2027, at odds with traders — cnbc_finance — Score: +0.12

📈 System Architecture

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

Academic Footnote

Krauss (2017) — statistical arbitrage pairs trading.

Disclaimer

This is algorithmic analysis only, not financial advice.