MoneySignals Daily Predictions · Top Predictions
2026-06-23 (Tuesday) · secret tier
Tickers
467
With Signals
467
Daily
724
Weekly
0
Monthly
0

Generated: 2026-06-22 05:40:09 EST

🎯 CORE ENTITY TRACKER


Key individuals and organizations driving markets today

πŸ‡ΊπŸ‡Έ US Political:
  • πŸ”΄ Donald Trump [SPY, DIA, QQQ] β€” 9 mentions, 6 sources
The Dispute Over Events for America’s 250th Birthday, Explained
  • 🟑 JD Vance [QQQ] β€” 2 mentions, 2 sources
Morning news brief

🌍 Geopolitical:
  • 🟑 Kim Jong Un [EWY, ITA, LMT, RTX] β€” 1 mention, 1 source βœ… LOBBY
Over-Celebrate the Nation’s 250th? Absolutely, if Kim Smith Has Her Way.
  • 🟑 Mohammed bin Salman [USO, XLE, XOM, CVX] β€” 1 mention, 1 source βœ… LOBBY
Lamine Yamal says β€˜I’m here’: Spain star dazzles with World Cup goal

Signal strength: πŸ”΄ high (5+ mentions or corroborated) 🟑 medium (2+ mentions) βšͺ low
πŸ“… Important Events for Tomorrow
No major events scheduled for tomorrow.
🎯 MARKET SIGNALS FROM NEWS


πŸ“° Key Headlines & Ticker Implications:

1. First round of US-Iran talks ends with encouraging progress, mediators say
🟒 XLE, GLD, DFEN

2. Shipping stalls in Strait of Hormuz after Iran declares key waterway closed again
🟒 XLE, GLD, DFEN

3. Abelardo De La Espriella, Trump-Backed Rightist, Headed for Win in Colombia

πŸ“Š Ticker Signal Summary:
  • 🟒 Bullish: XLE (Related to) Γ—2, GLD (Related to) Γ—2, DFEN (Related to) Γ—2
  • βšͺ Mixed: DJT (Related to) Γ—1
🧠 MARKET SYNTHESIS & OPPORTUNITIES


PART 1 - TOP STORIES SUMMARY:

  • Semiconductor & Hardware Dominance: The standout narrative today is the explosive momentum in tech hardware β€” Electronic Components (+6.4%), Semiconductor Materials & Equipment (+6.0%), and Semiconductors (+5.9%) are leading all sectors by a wide margin. This suggests institutional rotation into the hardware/infrastructure layer of AI and tech, rather than software. Notably, this runs *counter* to bearish model signals on MSFT and WDC, suggesting software and storage names may be lagging even as the chip ecosystem surges.

  • Crypto Extreme Fear + Energy/Defense Resilience: With Crypto Fear & Greed at a deeply pessimistic 20/100, risk appetite in digital assets is near capitulation territory. Meanwhile, traditional safe-haven and tangible-asset plays (GLD, XLE, DFEN) are all flashing bullish news sentiment β€” pointing to a classic flight from speculative assets toward energy, gold, and defense. This is a coherent macro narrative: geopolitical uncertainty and rate anxiety driving capital toward real assets.

  • Bearish Pressure Concentrated in Financials, Insurance & Software: The model's bearish skew (13 bearish vs. 7 bullish) is concentrated in names like NI, MET, FICO, MSFT, and WDC β€” spanning utilities, insurance, fintech, software, and storage. This suggests the market is discriminating sharply: rewarding hard infrastructure, punishing rate-sensitive and growth-premium names.



PART 2 - SHORT-TERM OPPORTUNITIES:

  • 🟒 OXY (Bullish - 38% model confidence) + XLE sector tailwind: OXY benefits from a double alignment β€” bullish model prediction *and* bullish news sentiment on XLE as the energy sector wrapper. Oil & Gas Equipment & Services is the *worst* performer (-3.6%), but integrated producers like OXY often decouple from services weakness. This divergence within energy is worth watching β€” upstream producers may be absorbing service cost relief. Watch OXY for a momentum entry on any pullback to intraday support.

  • 🟒 GLD / Gold Exposure β€” Contrarian Crypto Fear Play: Crypto Fear & Greed at 20 historically marks capitulation zones that often coincide with gold strength, as capital rotates from digital to physical stores of value. GLD carries bullish news sentiment today, reinforcing this theme. Traders could use GLD calls or a direct long position as a short-term hedge that also has upside conviction behind it β€” rare dual utility.

  • 🟒 DFEN (Defense ETF) β€” Geopolitical Bid Confirmed: DFEN (3x leveraged aerospace & defense) has bullish news flow with no bearish mentions. Combined with the broader risk-off tone (low crypto sentiment, bearish model skew), defense spending narratives remain sticky. Leveraged exposure via DFEN suits aggressive short-term traders, but position sizing must account for the 3x amplification.

  • πŸ”΄ MET (Short/Avoid - 77% bearish model confidence): Insurance names face dual headwinds β€” rising claims environment and rate curve sensitivity. MET at 77% bearish model confidence is one of the highest-conviction bearish signals in today's dataset. No bullish news sentiment offsets this. **Traders
πŸ“† Economic Calendar
No economic events scheduled. Market may be closed or holiday.
πŸ“Š PUT/CALL RATIO ANALYSIS

Latest Options Activity: 2026-06-18

Market Sentiment Interpretation:
🐻⚠️ Moderately Bearish - Elevated put activity

Key Ratios:
  • TOTAL PUT/CALL RATIO: 0.910
Overall market sentiment - πŸ‚βœ… Bullish (Call buying > Put buying - Moderate upside)

  • EQUITY PUT/CALL RATIO: 0.580
Individual stock sentiment - πŸ‚βœ… Bullish (Call buying > Put buying - Moderate upside)

  • INDEX PUT/CALL RATIO: 1.170
Index options sentiment - πŸ»πŸ“‰ Bearish (Put buying > Call buying - Downside protection)

  • CBOE VOLATILITY INDEX (VIX) PUT/CALL RATIO: 0.200
Volatility sentiment - πŸ»πŸ“‰ Very Bearish (VIX Call buying >> VIX Put buying - High volatility expected)

πŸ’‘ SECRET TIER ACCESS:
  • Complete Put/Call ratio analysis
  • All key market sentiment indicators
03 β€” MARKET SENTIMENT
Stock Market
37
Fear
Crypto
20
Extreme Fear
πŸ“Š FEAR & GREED INDEX

Data Collected: 2026-06-22 05:40:07

πŸ›οΈ Stock Market: 37/100 - FEAR 🟑
πŸ’‘ Pessimistic sentiment

β‚Ώ Crypto Market: 20/100 - EXTREME FEAR πŸ”΄

πŸ’‘ Fear & Greed Insights:
  • Extreme Fear = Potential buying opportunity
  • Extreme Greed = Potential selling opportunity
  • Use as contrarian indicator for market timing
πŸ”¬ CAUSAL VALIDATION
Grade distribution across 2 validated models: F:2
High-validity (A/B): 0 tickers (0%) β€” predictions have statistically confirmed signal

⚠️ 2 low-validity models (D/F): FICO, MET
Trading engine applies 25% sizing (D) or skips (F) these tickers.
πŸ›οΈ CONGRESS STOCK TRADES


πŸ“Š 50 trades in last 14 days
🟒 25 Purchases | πŸ”΄ 25 Sales
Senate: 16 | House: 34

Most Active Tickers:
  • 🟒 Bought: GIGB Γ—2, XFIV Γ—2, AMCR Γ—1, EQT Γ—1, AGZ Γ—1
  • πŸ”΄ Sold: AMZN Γ—2, MSFT Γ—2, ACN Γ—2, BDX Γ—1, CHKP Γ—1

Recent Notable Trades:
  • πŸ”΄ TPR sold by Matthew Van Epps (R-H) β€” $15,001 - $50,000
  • 🟒 XFIV bought by John Boozman (R-S) β€” $50,001 - $100,000
  • πŸ”΄ ACN sold by Rick W. Allen (R-H) β€” $15,001 - $50,000
  • πŸ”΄ MSFT sold by Jonathan L. Jackson (D-H) β€” $15,001 - $50,000
  • πŸ”΄ BMY sold by Mike Kelly (R-H) β€” $15,001 - $50,000

β€”
Source: STOCK Act disclosures via QuiverQuant
02 β€” TODAY'S PREDICTIONS

🎯 Ticker Momentum

Ranked by composite backtest score. Direction from classifier, confidence from regressor.

# Ticker Score Daily Dir Daily Conf Daily AUC Weekly Dir Weekly Conf Weekly AUC Monthly Dir Monthly Conf Monthly AUC MR Q Regime Val Coverage
1 BIO 100 πŸ“‰ ↓ 58.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
2 COO 100 πŸ“ˆ ↑ 89.2%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
3 CPT 100 πŸ“‰ ↓ 64.1%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
4 FICO 100 πŸ“‰ ↓ 75.1%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
5 MET 100 πŸ“‰ ↓ 77.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
6 MSFT 100 πŸ“‰ ↓ 64.5%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
7 NI 100 πŸ“‰ ↓ 86.4%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
8 TJX 100 πŸ“‰ ↓ 64.1%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
9 WDC 100 πŸ“‰ ↓ 64.5%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
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Lower Confidence Picks (calibrated confidence <55% — treat with caution)

# Ticker Score Daily Dir Daily Conf Daily AUC Weekly Dir Weekly Conf Weekly AUC Monthly Dir Monthly Conf Monthly AUC MR Q Regime Val Coverage
1 AOS 100 πŸ“‰ ↓ 48.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
2 HUBB 100 πŸ“‰ ↓ 48.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
3 KEY 100 πŸ“ˆ ↑ 33.7%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
4 KEYS 100 πŸ“‰ ↓ 48.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
5 MHK 100 πŸ“ˆ ↑ 33.7%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
6 OXY 100 πŸ“ˆ ↑ 38.4%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
7 RCL 100 πŸ“ˆ ↑ 33.7%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
8 SWK 100 πŸ“ˆ ↑ 33.7%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
9 TRMB 100 πŸ“‰ ↓ 48.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
10 ZBRA 100 πŸ“‰ ↓ 48.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
11 BAC 100 πŸ“ˆ ↑ 33.7%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3

πŸ“– Legend

⚑ Score: Composite backtest performance (0-100 scale)
Weighted: Sharpe Ratio 40% + Win Rate 35% + IC 25%

πŸ“ˆ ↑ BULLISH - Model indicates upward momentum

πŸ“‰ ↓ BEARISH - Model indicates downward momentum

Confidence: Direction accuracy from model backtesting

AUC: Area Under ROC Curve from classifier (classification quality metric)

Val: Causal validity grade (A–F) β€” statistical confidence the model captures real signal rather than data-snooping artifacts.
A/B = confirmed signal  |  C = moderate  |  D = 25% size  |  F = skipped by trading engine

MR Q (Mean-Reversion Quintile): Cross-sectional rank among all predicted tickers
Q5 Most oversold β€” potential bounce candidate  |  Q4 Mildly oversold  |  Q3 Neutral  |  Q2 Mildly overbought  |  Q1 Most overbought β€” potential fade candidate

Regime: Ticker's own 50-day price trend   Bull / Bear / Neutral

Coverage: Number of timeframes with valid signals (Daily/Weekly/Monthly)

🟒 Green rows: High confidence (β‰₯60%)

πŸ”΄ Red rows: Low confidence (<52%)

Historical accuracy: BEARISH 62% | BULLISH 41% (calibrated confidence reflects this)

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⚠️ IMPORTANT DISCLAIMERS

πŸ“Š MOMENTUM INDICATORS, NOT PREDICTIONS:
The signals in this report are momentum indicators, not predictive values. They reflect current technical momentum and historical patterns, but do NOT predict future price movements with certainty. Markets are inherently unpredictable and past momentum does not guarantee future direction. Use these indicators as one input among many in your research process.

πŸ’° FINANCIAL DISCLAIMER:
This analysis is for informational and educational purposes only. It does not constitute investment advice, financial advice, trading advice, or any other sort of advice. The information provided is not intended to be used as the sole basis for any investment decisions. Past performance does not guarantee future results. All investments involve risk, including the potential loss of principal.

🚫 NO INVESTMENT RECOMMENDATIONS:
We do not recommend, endorse, or suggest any specific investments, securities, or trading strategies. The analysis provided is based on historical data and statistical models that may not accurately predict future market movements. Market conditions change rapidly and unpredictably.

πŸ€– AUTOMATED ANALYSIS:
This report is generated by automated systems using machine learning models. These models have limitations and may produce inaccurate results. Always conduct your own research and consult with qualified financial professionals before making investment decisions.

πŸ“ˆ SCORE METHODOLOGY:
The Score column represents a composite backtest performance metric, combining Sharpe Ratio (40%), Win Rate (35%), and Information Coefficient (25%). Higher scores indicate models with better historical backtested performance, but this does NOT guarantee future results.

πŸ“Š DATA ACCURACY:
While we strive for accuracy, we do not guarantee the accuracy, completeness, or timeliness of any information provided. Data sources may have errors, delays, or other issues that could affect the analysis.

βš–οΈ LEGAL DISCLAIMER:
This service is provided 'as is' without warranties of any kind. We disclaim all warranties, express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, and non-infringement.

πŸ‘€ INDIVIDUAL RESPONSIBILITY:
You are solely responsible for your investment decisions and their outcomes. You should conduct your own research and due diligence before making any investment decisions. Never invest more than you can afford to lose.

By using this service, you acknowledge that you have read, understood, and agree to these disclaimers.
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