Generated: 2026-07-27 05:35:25 EST
01 — MODEL SCORECARD
How Our Picks Did — Friday, Jul 24
9/10 correct — 90%
BULLISH calls 90%
| Ticker |
Predicted |
Conf |
Actual |
Result |
Return |
| EG |
↑ BULLISH |
95.0% |
↑ BULLISH |
✓ |
+2.55% |
| MMM |
↑ BULLISH |
95.0% |
↑ BULLISH |
✓ |
+1.79% |
| DGX |
↑ BULLISH |
95.0% |
↓ BEARISH |
✗ |
-0.02% |
| CI |
↑ BULLISH |
95.0% |
↑ BULLISH |
✓ |
+1.15% |
| CHD |
↑ BULLISH |
95.0% |
↑ BULLISH |
✓ |
+1.51% |
| JNJ |
↑ BULLISH |
95.0% |
↑ BULLISH |
✓ |
+1.59% |
| AAPX |
↑ BULLISH |
95.0% |
↑ BULLISH |
✓ |
+7.12% |
| BAX |
↑ BULLISH |
95.0% |
↑ BULLISH |
✓ |
+3.37% |
| CAH |
↑ BULLISH |
95.0% |
↑ BULLISH |
✓ |
+0.91% |
| TFC |
↑ BULLISH |
95.0% |
↑ BULLISH |
✓ |
+1.09% |
04 — NEWS & EVENTS
📰 MARKET-RELEVANT NEWS
💼 Business & Markets:
🏛️ Economy & Fed:
📊 6 of 34 headlines shown
🎯 CORE ENTITY TRACKER
Key individuals and organizations driving markets today
🇺🇸 US Political:
- 🔴 Donald Trump [SPY, DIA, QQQ] — 8 mentions, 5 sources
Trump Gutted the Kennedy Center. A Tour Guide Wants You to See It Anyway.
- 🟡 RFK Jr. [PFE, JNJ, MRK, ABBV] — 1 mention, 1 source ✅ LOBBY
Trump Gutted the Kennedy Center. A Tour Guide Wants You to See It Anyway.
🌍 Geopolitical:
- 🟡 Benjamin Netanyahu [XLE, ITA, GLD, USO] — 3 mentions, 3 sources
Netanyahu accuses NYC Mayor Mamdani of 'fomenting hate' after arrest threat
- ⚪ Vladimir Putin [USO, XLE, WEAT, RSX] — 1 mention, 1 source
Ukrainian Attacks in Crimea Deprive Towns of Power and Water
🏛️ Institutions:
- ⚪ Federal Reserve [SPY, TLT, GLD, QQQ] — 1 mention, 1 source
Oil prices sink, stock futures rally as U.S. and Iran pause attacks, Wall S...
Signal strength: 🔴 high (5+ mentions or corroborated) 🟡 medium (2+ mentions) ⚪ low
📅 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 → 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 2026-07-24 close):
- SPY — open hold window, day 4 of 5 (fired 2026-07-20). Entering mid-window was not part of the validated timing — informational only.
- IWM — open hold window, day 4 of 5 (fired 2026-07-20). Entering mid-window was not part of the validated timing — informational only.
- VTI — open hold window, day 4 of 5 (fired 2026-07-20). Entering mid-window was not part of the validated timing — informational only.
- XLY — no fire (last: 2026-06-02, 36 trading days ago)
Measured record (next-open entry, de-overlapped fires, full history):
- SPY — 266 trades since 1993: 65.4% win vs 57.9% above-trend base · +0.57% avg per 5-day trade
- IWM — 192 trades since 2000: 62.5% win vs 53.2% above-trend base · +0.69% avg per 5-day trade
- VTI — 191 trades since 2001: 64.9% win vs 57.7% above-trend base · +0.47% avg per 5-day trade
- XLY — 238 trades since 1998: 62.6% win vs 55.1% above-trend base · +0.69% avg per 5-day trade
⚠️ Backtest statistics, not live trading results. These four ETFs are highly correlated — 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 −8%). The 2005-2014 era did not clear the gate. Not financial advice.
🎥 FINANCE YOUTUBE (what independent analysts are arguing)
Curated synthesis of independent finance and macro YouTubers we track. These are THEIR views — attributed, not ours — and are NOT graded signals: we log the falsifiable calls and will score them over time. Idea sourcing and context, not a validated edge, not financial advice.
This week: 10 video(s) from 3 creator(s). Macro tilt 0 bullish / 8 bearish / 1 neutral / 1 mixed.
Recurring themes: insider-selling (×4), bubble-dynamics (×2), sovereign-wealth-mismanagement, legal-jurisdictional-trap, creditor-seizure-risk
Creators lean bullish: EIM (1ch), NVDA (1ch), MSFT (1ch), AMZN (1ch), META (1ch)
Creators lean bearish: QQQ (1ch), BX (1ch), TLT (1ch)
Latest takes:
- Patrick Boyle (BEARISH): Where Did Venezuela's $13 Billion Go? — Venezuela's $13 billion in oil sales since January 2026 have generated only $300 million in recorded government revenue, with the remainder trapped in offsho…
- Bravos Research (MIXED): An Opportunity Like This Won't Come Again. — The Magnificent Seven stocks have undergone a significant 20% correction despite the S&P 500's 50% rally since 2025, creating extreme market concentration (4…
- Casual Finance (NEUTRAL): Big Tech Spends $83 Million Per Hour on AI — Big Tech companies are committing $725 billion to AI infrastructure spending in 2026, representing an unprecedented capital deployment equivalent to $83 mill…
Falsifiable calls we're tracking:
- Casual Finance — SPAC formation activity BEARISH (open-ended): SPAC IPO volume collapsed from 613 in 2021 to just 86 in 2022 following the rug pull
- Casual Finance — SPAC-backed companies (2021 vintage) BEARISH (open-ended): Companies that completed a SPAC merger in 2021 lost 67% of their value on average
⚠️ Third-party opinions, tracked and attributed — not MoneySignals signals and not yet graded. We surface them for context and will score their accuracy as the calls resolve. Not financial advice.
🎯 MARKET SIGNALS FROM NEWS
📰 Key Headlines & Ticker Implications:
🟢 TIP, GLD · 🔴 TLT
🟢 NVDA, MSFT, GOOGL, AMD
🟢 DFEN, GLD, VXX
📊 Ticker Signal Summary:
- 🟢 Bullish: GLD (Related to) ×2, TIP (Related to) ×1, NVDA (Related to) ×1, MSFT (Related to) ×1, GOOGL (Related to) ×1, AMD (Related to) ×1
- 🔴 Bearish: TLT (Related to) ×1
- ⚪ Mixed: XLE (Related to) ×3, USO (Related to) ×3, XOM (Related to) ×2, CVX (Related to) ×2
🧠 MARKET SYNTHESIS & OPPORTUNITIES
PART 1 - TOP STORIES SUMMARY:
- Defensive Rotation & Risk-Off Sentiment Dominating: The Crypto Fear & Greed index sitting at 30/100 (Fear territory) combined with VXX and GLD both flashing bullish signals from news flow suggests markets are pricing in elevated uncertainty. This isn't isolated to crypto — the volatility hedge (VXX) gaining attention alongside gold points to broad risk-off positioning across asset classes.
- Infrastructure & Legacy Sectors Outperforming Tech: The dramatic divergence between Data Center REITs (+8.0%), Packaging (+7.8%), and Telecom (+5.5%) versus Semiconductors (-3.2%) tells a nuanced story — investors want *exposure to AI infrastructure* without the chip sector volatility. This is a meaningful rotation away from front-end semiconductor names toward the physical backbone of the digital economy.
- Defense & Hard Assets Catching Bids: DFEN bullish news sentiment alongside GLD strength suggests geopolitical risk premiums are being rebuilt into portfolios. With energy names (XLE, USO, XOM, CVX) all sitting neutral, the commodity bid is selective — favoring safe havens and defense over raw energy exposure today.
PART 2 - SHORT-TERM OPPORTUNITIES:
- The Semiconductor Divergence Is the Day's Most Important Signal: Semiconductors (-3.2%) sitting as the worst-performing GICS industry while model predictions show AAPL bearish (65%) creates a compounding risk for the broader mega-cap tech complex. Traders should be cautious adding tech exposure today — the sector momentum and model alignment are both pointing lower.
- Volatility Is Being Bought, Not Faded: The bullish signal on VXX is notable — when volatility ETPs attract bullish news flow simultaneously with Fear & Greed at 30, it typically precedes further near-term choppiness. This is NOT a dip-buying environment; it's a hedge-your-book environment. Options protection or reduced gross exposure is warranted intraday.
- Data Center REITs Deserve Serious Attention: +8.0% industry momentum is exceptional. While no specific REIT tickers are called out in model predictions, traders should watch names like EQIX, DLR, and IRON MOUNTAIN — the infrastructure-over-semiconductors rotation thesis could have further legs, especially if AI capex narratives continue driving data center demand.
- Model Conviction on Consumer/Staples Names Is High: JNJ (95% bullish), MO (95% bullish), and BBY (95% bullish) all carry maximum model conviction. In a risk-off, defensive-rotation day, JNJ and MO align perfectly — staples and healthcare are natural homes for capital fleeing semiconductors and discretionary. The signal confluence here is among the strongest in today's dataset.
- DIS and AAPL Short-Side Warrants Watching: DIS (67% bearish model) in an environment where consumer discretionary sentiment is fragile and AAPL (65% bearish) with semiconductors selling off creates a potential short or put opportunity on both names. These aren't contrarian calls — they're *momentum-aligned* bearish setups with model backing.
- GLD Remains the Cleanest Trade: Bullish news sentiment + risk-
📆 Economic Calendar
No economic events scheduled. Market may be closed or holiday.
📊 PUT/CALL RATIO ANALYSIS
Latest Options Activity: 2026-07-24
Market Sentiment Interpretation:
🐻⚠️ Moderately Bearish - Elevated put activity
Key Ratios:
- TOTAL PUT/CALL RATIO: 0.990
Overall market sentiment - 🐂✅ Bullish (Call buying > Put buying - Moderate upside)
- EQUITY PUT/CALL RATIO: 0.790
Individual stock sentiment - 🐂✅ Bullish (Call buying > Put buying - Moderate upside)
- INDEX PUT/CALL RATIO: 1.080
Index options sentiment - 🐻📉 Bearish (Put buying > Call buying - Downside protection)
- CBOE VOLATILITY INDEX (VIX) PUT/CALL RATIO: 0.420
Volatility sentiment - 🐻📉 Very Bearish (VIX Call buying >> VIX Put buying - High volatility expected)
💡 SECRET TIER ACCESS:
- Complete Put/Call ratio analysis
- All key market sentiment indicators
03 — MARKET SENTIMENT
📊 FEAR & GREED INDEX
Data Collected: 2026-07-27 05:35:24
🏛️ Stock Market: 39/100 - FEAR 🟡
💡 Pessimistic sentiment
₿ Crypto Market: 30/100 - FEAR 🟡
💡 Fear & Greed Insights:
- Extreme Fear = Potential buying opportunity
- Extreme Greed = Potential selling opportunity
- Use as contrarian indicator for market timing
🔬 CAUSAL VALIDATION
Grade distribution across 6 validated models: F:6
High-validity (A/B): 0 tickers (0%) — predictions have statistically confirmed signal
⚠️ 6 low-validity models (D/F): AAPL, BAC, DIS, IFF, ODFL, SWKS
Trading engine applies 25% sizing (D) or skips (F) these tickers.
🏛️ CONGRESS STOCK TRADES
📊 50 trades in last 14 days
🟢 45 Purchases | 🔴 5 Sales
Senate: 50 | House: 0
Most Active Tickers:
- 🟢 Bought: AAPL ×2, ASML ×2, AZN ×2, ABBV ×1, ABNB ×1
- 🔴 Sold: ABT ×1, ACM ×1, AMGN ×1, AMT ×1, AVGO ×1
Recent Notable Trades:
- 🟢 AAPL bought by Alan Armstrong (R-S) — $250,001 - $500,000
- 🟢 ABBV bought by Alan Armstrong (R-S) — $15,001 - $50,000
- 🔴 ABT sold by Alan Armstrong (R-S) — $15,001 - $50,000
- 🔴 ACM sold by Alan Armstrong (R-S) — $15,001 - $50,000
- 🟢 AMAT bought by Alan Armstrong (R-S) — $15,001 - $50,000
- 🟢 AMD bought by Alan Armstrong (R-S) — $15,001 - $50,000
- 🔴 AMGN sold by Alan Armstrong (R-S) — $15,001 - $50,000
- 🟢 AMZN bought by Alan Armstrong (R-S) — $15,001 - $50,000
—
Source: STOCK Act disclosures via QuiverQuant
02 — 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 |
📉 ↓ |
75.3% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 2 |
IFF |
100 |
📉 ↓ |
58.3% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
F |
1/3 |
| 3 |
JNJ |
100 |
📈 ↑ |
95.0% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 4 |
SWKS |
100 |
📉 ↓ |
58.3% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
F |
1/3 |
| 5 |
USB |
100 |
📉 ↓ |
64.5% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 6 |
BBY |
100 |
📈 ↑ |
95.0% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 7 |
DIS |
100 |
📉 ↓ |
67.4% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
F |
1/3 |
| 8 |
PTC |
99 |
📈 ↑ |
95.0% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 9 |
AAPX |
95 |
📈 ↑ |
95.0% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 10 |
MO |
95 |
📈 ↑ |
95.0% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 11 |
AAPL |
95 |
📉 ↓ |
64.5% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
F |
1/3 |
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 |
CPT |
100 |
📈 ↑ |
33.7% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 2 |
KEY |
100 |
📈 ↑ |
33.7% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 3 |
SWK |
100 |
📈 ↑ |
33.7% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 4 |
WAB |
100 |
📉 ↓ |
48.3% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 5 |
BAC |
100 |
📈 ↑ |
38.4% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
F |
1/3 |
| 6 |
FFIV |
100 |
📉 ↓ |
48.3% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 7 |
ODFL |
100 |
📉 ↓ |
48.3% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
F |
1/3 |
| 8 |
WFC |
100 |
📉 ↓ |
48.3% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
| 9 |
INTU |
99 |
📈 ↑ |
43.9% |
— |
— |
0.0% |
— |
— |
0.0% |
— |
— |
— |
N/A |
1/3 |
📖 Legend
⚡ Score: Composite backtest performance (0-100 scale)
Weighted: Sharpe Ratio 40% + Win Rate 35% + IC 25%
📈 ↑ BULLISH - Model indicates upward momentum
📉 ↓ 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) — 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 — potential bounce candidate |
Q4 Mildly oversold |
Q3 Neutral |
Q2 Mildly overbought |
Q1 Most overbought — 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 (≥60%)
🔴 Red rows: Low confidence (<52%)
Historical accuracy: BEARISH 62% | BULLISH 41%
(calibrated confidence reflects this)
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⚠️ IMPORTANT DISCLAIMERS
📊 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.
💰 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.
🤖 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.
📈 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.
📊 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.
⚖️ 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.
👤 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.
For questions or concerns, contact: dave@moneysignals.us