MoneySignals Daily Predictions · Top Predictions
2026-07-20 (Monday) · secret tier
Tickers
236
With Signals
236
Daily
236
Weekly
0
Monthly
0

Generated: 2026-07-17 05:36:35 EST

01 β€” MODEL SCORECARD
How Our Picks Did — Wednesday, Jul 15
7/10 correct — 70% BEARISH calls 70%
Ticker Predicted Conf Actual Result Return
WDC ↓ BEARISH 86.4% ↓ BEARISH -8.78%
COP ↓ BEARISH 75.1% ↓ BEARISH -0.37%
AWK ↓ BEARISH 75.1% ↓ BEARISH -1.79%
AMT ↓ BEARISH 75.1% ↓ BEARISH -0.12%
CCI ↓ BEARISH 75.1% ↑ BULLISH +0.53%
CBOE ↓ BEARISH 75.1% ↑ BULLISH +0.77%
CHRW ↓ BEARISH 75.1% ↓ BEARISH -1.06%
CDW ↓ BEARISH 75.1% ↓ BEARISH -6.11%
ABT ↓ BEARISH 75.1% ↑ BULLISH +0.35%
CNC ↓ BEARISH 75.1% ↓ BEARISH -3.07%
🎯 CORE ENTITY TRACKER


Key individuals and organizations driving markets today

πŸ‡ΊπŸ‡Έ US Political:
  • πŸ”΄ Donald Trump [SPY, DIA, QQQ] β€” 10 mentions, 7 sources
Trump accuses China of election meddling and questions voting security ahea...
  • βšͺ Elon Musk [TSLA, TWTR, SPY] β€” 1 mention, 1 source
SpaceX aborts Starship test flight, sending stock lower

🌍 Geopolitical:
  • 🟑 Ali Khamenei [USO, XLE, GLD] β€” 3 mentions, 2 sources
US launches new strikes as Iran says civilian infrastructure hit
  • βšͺ Xi Jinping [FXI, KWEB, BABA, EEM] β€” 1 mention, 1 source
β€˜Suddenly, I Was Free’: A Chinese Pastor’s Journey From Jail to the U.S.

🏒 Corporate Leaders:
  • 🟑 Satya Nadella [MSFT] β€” 1 mention, 1 source βœ… LOBBY
Microsoft's Nadella criticizes Anthropic's Fable for being 'editorially con...

πŸ›οΈ Institutions:
  • 🟑 Federal Reserve [SPY, TLT, GLD, QQQ] β€” 4 mentions, 4 sources
Federal Reserve looks for 'secret sauce' behind a successful Wisconsin tool...

Signal strength: πŸ”΄ high (5+ mentions or corroborated) 🟑 medium (2+ mentions) βšͺ low
πŸ“… Important Events for Tomorrow
No major events scheduled for tomorrow.
🎯 ETF PULLBACK SIGNAL (validated mechanical rule)


A pre-registered rule, not an ML prediction: an ETF closes above its 200-day average with 2-period RSI below 10 β†’ buy, hold 5 trading days. The only signal in this product that cleared pre-registered kill-tests on ~30 years of history.

Signal state (as of 2026-07-16 close):
  • SPY β€” no fire (last: 2026-06-26, 13 trading days ago)
  • IWM β€” no fire (last: 2026-07-08, 6 trading days ago)
  • VTI β€” no fire (last: 2026-06-05, 27 trading days ago)
  • XLY β€” no fire (last: 2026-06-02, 30 trading days ago)
No active fire β€” the normal state. Fires average 8-10 per year per ETF.

Measured record (next-open entry, de-overlapped fires, full history):
  • SPY β€” 266 trades since 1993: 65.4% win vs 58.0% above-trend base Β· +0.57% avg per 5-day trade
  • IWM β€” 192 trades since 2000: 62.5% win vs 53.3% above-trend base Β· +0.69% avg per 5-day trade
  • VTI β€” 191 trades since 2001: 64.9% win vs 57.7% above-trend base Β· +0.47% avg per 5-day trade
  • XLY β€” 238 trades since 1998: 62.6% win vs 55.1% above-trend base Β· +0.69% avg per 5-day trade

⚠️ Backtest statistics, not live trading results. These four ETFs are highly correlated β€” simultaneous fires are closer to ONE bet than four. The 5-day hold is unprotected by design (stops and profit targets were tested paired on the same fires; every overlay cost expectancy, and the worst historical trade was βˆ’8%). The 2005-2014 era did not clear the gate. Not financial advice.

πŸ“‘ Live state, per-timing splits and every caveat via the free API: GET /api/v1/signals/etf-pullback β€” included with the free key every subscriber already has.
🎯 MARKET SIGNALS FROM NEWS


πŸ“° Key Headlines & Ticker Implications:

1. A Humanoid Company Backed by Eric Trump Is Preparing Its Robots for War
🟒 DFEN, GLD, XLE, VXX

2. Federal Reserve Board issues enforcement action with former chief lending officer of ...

3. Trump accuses China of election meddling and questions voting security ahead of midte...

4. What will the Pentagon begin screening 'war fighters' for? The quiz knows
🟒 DFEN, GLD, XLE, VXX

5. Chinese startup Moonshot AI unveils Kimi model it says rivals OpenAI, Anthropic
🟒 NVDA, MSFT, GOOGL, AMD

6. Agencies issue joint statement on handling of highly sensitive information during ban...

πŸ“Š Ticker Signal Summary:
  • 🟒 Bullish: GLD (Related to) Γ—6, DFEN (Related to) Γ—5, XLE (Related to) Γ—5, VXX (Related to) Γ—2, NVDA (Related to) Γ—1, MSFT (Related to) Γ—1
  • βšͺ Mixed: DJT (Related to) Γ—2, XLF (Related to) Γ—2, KRE (Related to) Γ—2, JPM (Related to) Γ—2
🧠 MARKET SYNTHESIS & OPPORTUNITIES


PART 1 - TOP STORIES SUMMARY:

Theme 1: Risk-Off Rotation β€” Defense, Gold & Energy Leading
The dominant narrative today is a classic flight-to-safety trade. DFEN (defense), GLD (gold), and XLE (energy) are all showing strong bullish news sentiment with zero bearish mentions β€” a rare clean sweep. This trifecta suggests institutional money is actively rotating out of growth/risk assets into hard assets and geopolitically-sensitive sectors, likely driven by macro uncertainty or geopolitical tension.

Theme 2: Semiconductor & Tech Under Pressure
Semiconductors and semiconductor equipment are the worst-performing industries today (-3.9% to -4.0%), and this is reinforced by model bearish calls on WDC (86%) and SWKS (65%). The broader tech unwind is real and has conviction behind it β€” this isn't noise.

Theme 3: Crypto Fear Signals Broader Risk Sentiment
A Crypto Fear & Greed reading of 27/100 ("Fear" territory) is meaningful beyond crypto itself. Historically, extreme crypto fear correlates with broader risk-off positioning, particularly in speculative growth names. Combined with bearish model dominance (12 bearish vs. 8 bullish calls), the market tape is skewing defensively today.



PART 2 - SHORT-TERM OPPORTUNITIES:

  • The strongest single-stock conviction trade today is JNJ (bullish, 95% model confidence). Healthcare is a classic defensive play, and with risk-off themes dominating (GLD, DFEN, XLE all bullish), JNJ fits the macro narrative perfectly. Multiple signals align: high-confidence model call + defensive sector tailwind + risk-off environment. Watch for momentum continuation intraday.

  • DFEN presents a sector ETF opportunity with unusually clean signal alignment. Bullish news sentiment (4B/0b β€” zero bearish counterweight), defense sector benefits from geopolitical risk narratives, and the broader flight-to-safety rotation supports upside. Defense also benefits from any escalation headlines that may be driving today's GLD bid.

  • GLD deserves attention as a macro hedge play. Gold is bullish across news signals and pairs logically with the fear environment (crypto F&G at 27, model skew bearish). If equity volatility picks up β€” note VXX is also showing bullish signals β€” GLD could see accelerated inflows. The GLD + VXX bullish alignment is a significant warning flag for equity bulls.

  • Contrarian watch on semiconductors β€” but not yet a buy. SWKS (65% bearish model) and the sector's -4.0% industry momentum make this a confirmed short-side opportunity today, not a contrarian long. Wait for capitulation or oversold technicals before fading this move. The signal weight is too heavy bearish to fight right now.

  • WDC is the highest-conviction short on the board (86% bearish model). Western Digital sits at the intersection of two negative forces: semiconductor sector weakness and broader risk-off that punishes cyclical tech hardware. No bullish news mentions, no sector tailwind. This is the clearest risk/reward on the short side today.

  • Surprising divergence: BAC (45% bullish) vs. WFC (65% bearish). Two major banks, opposite signals. Investment Banking & Brokerage is the worst-performing financial sub
πŸ“† Economic Calendar
No economic events scheduled. Market may be closed or holiday.
πŸ“Š PUT/CALL RATIO ANALYSIS

Latest Options Activity: 2026-07-16

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

Key Ratios:
  • TOTAL PUT/CALL RATIO: 0.870
Overall market sentiment - πŸ‚βœ… Bullish (Call buying > Put buying - Moderate upside)

  • EQUITY PUT/CALL RATIO: 0.670
Individual stock sentiment - πŸ‚βœ… Bullish (Call buying > Put buying - Moderate upside)

  • INDEX PUT/CALL RATIO: 0.980
Index options sentiment - πŸ‚βœ… Bullish (Call buying > Put buying - Moderate upside)

  • CBOE VOLATILITY INDEX (VIX) PUT/CALL RATIO: 0.250
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
42
Fear
Crypto
27
Fear
πŸ“Š FEAR & GREED INDEX

Data Collected: 2026-07-17 05:36:33

πŸ›οΈ Stock Market: 42/100 - FEAR 🟑
πŸ’‘ Pessimistic sentiment

β‚Ώ Crypto Market: 27/100 - FEAR 🟑

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 3 validated models: F:3
High-validity (A/B): 0 tickers (0%) β€” predictions have statistically confirmed signal

⚠️ 3 low-validity models (D/F): BAC, DIS, ODFL
Trading engine applies 25% sizing (D) or skips (F) these tickers.
πŸ›οΈ CONGRESS STOCK TRADES


πŸ“Š 50 trades in last 14 days
🟒 11 Purchases | πŸ”΄ 34 Sales
Senate: 17 | House: 33

Most Active Tickers:
  • 🟒 Bought: ESAB Γ—2, ZTS Γ—2, EQT Γ—1, GIL Γ—1, HLT Γ—1
  • πŸ”΄ Sold: CDNS Γ—2, GOOGL Γ—2, JNJ Γ—2, MKL Γ—2, MPWR Γ—2

Recent Notable Trades:
  • πŸ”΄ AWK sold by Tommy Tuberville (R-S) β€” $15,001 - $50,000
  • πŸ”΄ CSX sold by Tommy Tuberville (R-S) β€” $15,001 - $50,000
  • πŸ”΄ DUK sold by Tommy Tuberville (R-S) β€” $15,001 - $50,000
  • πŸ”΄ LMT sold by Tommy Tuberville (R-S) β€” $15,001 - $50,000
  • πŸ”΄ MA sold by Tommy Tuberville (R-S) β€” $15,001 - $50,000
  • πŸ”΄ NEE sold by Tommy Tuberville (R-S) β€” $15,001 - $50,000
  • πŸ”΄ PFE sold by Tommy Tuberville (R-S) β€” $15,001 - $50,000
  • πŸ”΄ PG sold by Tommy Tuberville (R-S) 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“‰ ↓ 77.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
2 CPT 100 πŸ“‰ ↓ 64.1%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
3 KEY 100 πŸ“‰ ↓ 64.1%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
4 NI 100 πŸ“‰ ↓ 73.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
5 WDC 100 πŸ“‰ ↓ 86.4%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
6 IFF 100 πŸ“‰ ↓ 64.1%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
7 JNJ 100 πŸ“ˆ ↑ 95.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
8 SWKS 100 πŸ“‰ ↓ 64.5%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
9 WFC 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 COO 100 πŸ“ˆ ↑ 33.7%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
2 SWK 100 πŸ“‰ ↓ 48.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
3 WAB 100 πŸ“ˆ ↑ 33.7%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
4 ZBRA 100 πŸ“‰ ↓ 48.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
5 BAC 100 πŸ“ˆ ↑ 45.4%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
6 FFIV 100 πŸ“‰ ↓ 48.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
7 ODFL 100 πŸ“‰ ↓ 48.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
8 USB 100 πŸ“ˆ ↑ 38.4%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
9 BBY 100 πŸ“ˆ ↑ 38.4%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
10 DIS 100 πŸ“ˆ ↑ 33.7%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
11 MCHP 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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