MoneySignals Daily Predictions · Top Predictions
2026-07-31 (Friday) · secret tier
Tickers
184
With Signals
184
Daily
184
Weekly
0
Monthly
0

Generated: 2026-07-30 05:34:36 EST

01 โ€” MODEL SCORECARD
How Our Picks Did — Wednesday, Jul 29
1/10 correct — 10% BULLISH calls 10%
Ticker Predicted Conf Actual Result Return
HD ↑ BULLISH 95.0% ↓ BEARISH ✗ -1.80%
CSX ↑ BULLISH 95.0% ↓ BEARISH ✗ -0.20%
EXPD ↑ BULLISH 95.0% ↓ BEARISH ✗ -0.75%
DIS ↑ BULLISH 95.0% ↓ BEARISH ✗ -0.41%
CAH ↑ BULLISH 95.0% ↓ BEARISH ✗ -1.46%
AMGN ↑ BULLISH 95.0% ↓ BEARISH ✗ -1.39%
AAPX ↑ BULLISH 95.0% ↓ BEARISH ✗ -1.14%
CMCSA ↑ BULLISH 95.0% ↑ BULLISH ✓ +1.74%
CI ↑ BULLISH 95.0% ↓ BEARISH ✗ -1.52%
JNJ ↑ BULLISH 95.0% ↓ BEARISH ✗ -0.45%
04 โ€” NEWS & EVENTS
๐Ÿ“ฐ MARKET-RELEVANT NEWS

๐Ÿ’ผ Business & Markets:

๐Ÿ›๏ธ Economy & Fed:

๐Ÿ‡บ๐Ÿ‡ธ US News:

๐ŸŒ World News:

๐Ÿ’ป Technology:

๐Ÿ“Š 35 of 36 headlines shown
๐ŸŽฏ CORE ENTITY TRACKER

Key individuals and organizations driving markets today

๐Ÿ‡บ๐Ÿ‡ธ US Political:
  • โšช Donald Trump [SPY, DIA, QQQ] โ€” 1 mention, 1 source
Trump considering AI controls after OpenAI hacking incidents

๐ŸŒ Geopolitical:
  • ๐ŸŸก Mohammed bin Salman [USO, XLE, XOM, CVX] โ€” 2 mentions, 2 sources
Saudi Arabia confirmed to host Asian Champions League Elite finals

๐Ÿข Corporate Leaders:
  • ๐Ÿ”ด Mark Zuckerberg [META] โ€” 3 mentions, 2 sources โœ… LOBBY
Zuckerberg lays out Meta's AI capacity dilemma: What to sell vs. what to ke...
  • ๐ŸŸก Satya Nadella [MSFT] โ€” 1 mention, 1 source โœ… LOBBY
Microsoft confirms Copilot โ€˜super appโ€™ coming this year

๐Ÿ›๏ธ Institutions:
  • ๐ŸŸก Federal Reserve [SPY, TLT, GLD, QQQ] โ€” 2 mentions, 2 sources
What a divided Fed means for investors

Signal strength: ๐Ÿ”ด high (5+ mentions or corroborated) ๐ŸŸก medium (2+ mentions) โšช low
๐Ÿ“… IMPORTANT EVENTS TOMORROW
===================================
๐Ÿ“† Date: Friday, July 31, 2026

๐Ÿ“Š FINANCIAL PERIODS:
  • Month End (Last Trading Day of Month)

๐Ÿ’ก TRADING IMPLICATIONS:
  • Normal trading day with standard market conditions
  • Monitor for any unexpected news or events
๐ŸŽฏ 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 โ†’ 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 2026-07-29 close):
  • SPY โ€” ๐Ÿ”” FIRED at the last close (RSI2 8.5). The validated entry is the NEXT session's open, exiting at the close 5 trading days after the fire.
  • IWM โ€” no fire (last: 2026-07-20, 7 trading days ago)
  • VTI โ€” ๐Ÿ”” FIRED at the last close (RSI2 8.8). The validated entry is the NEXT session's open, exiting at the close 5 trading days after the fire.
  • XLY โ€” no fire (last: 2026-06-02, 39 trading days ago)

Measured record (next-open entry, de-overlapped fires, full history):
  • SPY โ€” 267 trades since 1993: 65.2% win vs 57.9% above-trend base ยท +0.56% avg per 5-day trade
  • IWM โ€” 193 trades since 2000: 62.2% win vs 53.2% above-trend base ยท +0.69% avg per 5-day trade
  • VTI โ€” 192 trades since 2001: 64.6% win vs 57.6% above-trend base ยท +0.46% avg per 5-day trade
  • XLY โ€” 238 trades since 1998: 62.6% win vs 55.1% above-trend base ยท +0.69% avg per 5-day trade

โš ๏ธ Backtest statistics, not live trading results. These four ETFs are highly correlated โ€” 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 โˆ’8%). The 2005-2014 era did not clear the gate. Not financial advice.

๐Ÿ“ก Live state, per-timing splits and every caveat via the free API: GET /api/v1/signals/etf-pullback โ€” included with the free key every subscriber already has.
๐ŸŽฅ FINANCE YOUTUBE (what independent analysts are arguing)

Curated synthesis of independent finance and macro YouTubers we track. These are THEIR views โ€” attributed, not ours โ€” 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 4 creator(s). Macro tilt 0 bullish / 7 bearish / 1 neutral / 2 mixed.
Recurring themes: ai-bubble (ร—3), sec-earnings-reporting, fed-guidance-reduction, information-disclosure, fed-power-overestimated
Creators lean bullish: EIM (1ch), MSFT (1ch), AMZN (1ch), META (1ch), NVDA (2ch)
Creators lean bearish: NONE (1ch), QQQ (1ch), TLT (1ch), MAG7 (1ch)

Latest takes:

Falsifiable calls we're tracking:
  • Casual Finance โ€” AI-bubble valuations BEARISH (open-ended): OpenAI and similar AI companies trading at 65x+ revenue multiples represent speculative excess driven by blind optimism rather than sustainable fundamentals
  • Aswath Damodaran โ€” Fed policy effectiveness on economic growth BEARISH (open-ended): The Fed's capacity to move the economy from recession to recovery or vice versa is far more limited than conventional wisdom suggests; real GDP growth does nโ€ฆ

โš ๏ธ Third-party opinions, tracked and attributed โ€” not MoneySignals signals and not yet graded. We surface them for context and will score their accuracy as the calls resolve. Not financial advice.
๐ŸŽฏ MARKET SIGNALS FROM NEWS

๐Ÿ“ฐ Key Headlines & Ticker Implications:

1. Oil prices move higher as Iran threatens response to latest U.S. strikes
๐ŸŸข XLE, GLD, DFEN

2. Meta tanks nearly 9%, Microsoft jumps 8% as the AI trade splits Big Tech
๐ŸŸข NVDA, MSFT, GOOGL, AMD

3. Congress hasn't passed AI rules for schools. So these 98 teens did it themselves
๐ŸŸข NVDA, MSFT, GOOGL, AMD

4. AI Scammers Are Better at Building Trust Than Humans
๐ŸŸข NVDA, MSFT, GOOGL, AMD

5. Retail investors should beware perpetual futures

6. AI revenues are growing fast, but not fast enough
๐ŸŸข NVDA, MSFT, GOOGL, AMD

๐Ÿ“Š Ticker Signal Summary:
  • ๐ŸŸข Bullish: NVDA (Related to) ร—4, MSFT (Related to) ร—4, GOOGL (Related to) ร—4, AMD (Related to) ร—4, GLD (Related to) ร—4, XLE (Related to) ร—2
  • โšช Mixed: TLT (Related to) ร—2, XLF (Related to) ร—2, USO (Related to) ร—1, XOM (Related to) ร—1
๐Ÿง  MARKET SYNTHESIS & OPPORTUNITIES

  • Sector leadership: IT Consulting & Other Services (5.7%)
  • Sector weakness: Semiconductors (-4.7%)
๐Ÿ“† Economic Calendar
No economic events scheduled. Market may be closed or holiday.
๐Ÿ“Š PUT/CALL RATIO ANALYSIS
Latest Options Activity: 2026-07-28

Market Sentiment Interpretation:
๐Ÿปโš ๏ธ Moderately Bearish - Elevated put activity

Key Ratios:
  • TOTAL PUT/CALL RATIO: 0.960
Overall market sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • EQUITY PUT/CALL RATIO: 0.710
Individual stock sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • INDEX PUT/CALL RATIO: 1.110
Index options sentiment - ๐Ÿป๐Ÿ“‰ Bearish (Put buying > Call buying - Downside protection)

  • CBOE VOLATILITY INDEX (VIX) PUT/CALL RATIO: 0.860
Volatility sentiment - ๐Ÿปโš ๏ธ Bearish (VIX Call buying > VIX Put buying - Volatility expected)

๐Ÿ’ก SECRET TIER ACCESS:
  • Complete Put/Call ratio analysis
  • All key market sentiment indicators
03 โ€” MARKET SENTIMENT
Stock Market
34
Fear
Crypto
28
Fear
๐Ÿ“Š FEAR & GREED INDEX
Data Collected: 2026-07-30 05:34:35

๐Ÿ›๏ธ Stock Market: 34/100 - FEAR ๐ŸŸก
๐Ÿ’ก Pessimistic sentiment

โ‚ฟ Crypto Market: 28/100 - FEAR ๐ŸŸก

๐Ÿ’ก Fear & Greed Insights:
  • Extreme Fear = Potential buying opportunity
  • Extreme Greed = Potential selling opportunity
  • Use as contrarian indicator for market timing
๐ŸŒ TRENDING TOPICS (4 sources)

What people are searching, watching, and sharing today

๐Ÿ” Google Trending Searches:
  • dow jones industrial average (20000+ searches) โ€” Dow dives, S&P 500 trades lower in volatile market following
  • atlรฉtico madrid - getafe (2000+ searches) โ€” Atlรฉtico - Getafe, en directo: amistoso de pretemporada, hoy
  • marlins (1000+ searches) โ€” Philadelphia Phillies Announce Bryce Harper Decision During
  • national grid (1000+ searches) โ€” Why Is ICG (LSE:ICG) Drawing Fresh Attention Among UK Divide
  • gimnasia - river plate (1000+ searches) โ€” La formaciรณn de River vs. Gimnasia, por el Torneo Clausura
  • ncaa arion carter suspension (1000+ searches) โ€” Tennessee's Arion Carter suspended 2 games over $427 flight
  • doncaster vs wolves (500+ searches) โ€” Gallery | Doncaster vs Wolves | Men's First-Team | News
  • salman rushdie (500+ searches) โ€” Salman Rushdieโ€™s Attacker Found Guilty of Aiding a Foreign T
  • john wick sprite fortnite release (500+ searches) โ€” Fortnite Reload x The Simpsons Details
  • fรบtbol club barcelona (500+ searches) โ€” Comunicado oficial del FC Barcelona

๐Ÿ“– Wikipedia Most-Viewed:
  • The Odyssey (2026 film) (458,125 page views)
  • Spider-Man: Brand New Day (361,888 page views)
  • Lindsey Graham (179,531 page views)
  • Odyssey (155,599 page views)
  • 2026 Commonwealth Games (152,932 page views)
  • Jeff Bezos (145,922 page views)
  • Deaths in 2026 (135,426 page views)
  • .xyz (134,661 page views)
  • Kaitlan Collins (126,096 page views)
  • XZ Utils backdoor (123,078 page views)

๐Ÿ”ถ Hacker News Top Stories:
  • KOReader (623 pts, 199 comments)
  • Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac (557 pts, 194 comments)
  • Superlogical (428 pts, 273 comments)
  • Document-borne AI worms can self-propagate through Copilot for Word (313 pts, 234 comments)
  • Handbook.md shows that long policy documents do not reliably govern agents (272 pts, 170 comments)
  • Kimi K3-256k (261 pts, 74 comments)
  • Anatomy of a Frontier Lab Agent Intrusion: A Timeline of the July 2026 Incident (220 pts, 122 comments)
  • Claude: Elevated errors across all models (219 pts, 194 comments)

โ–ถ๏ธ YouTube Viral:
  • Iran launched surprise attack on US forces: CENTCOM โ€” CNN (960,055 views)
  • BREAKING: Mideast ERUPTS after Iran's SURPRISE attack on US forces โ€” Fox News (928,275 views)
  • BREAKING: Iran launches 'surprise attack' on US forces in Middle East โ€” Fox News (577,861 views)
  • ๐Ÿ”ดLIVE : เฎคเฎฎเฎฟเฎดเฎ•เฎคเฏเฎคเฎฟเฎฑเฏเฎ•เฎพเฎ• เฎคเฏเฎฃเฎฟเฎจเฏเฎคเฏ CM เฎตเฎฟเฎœเฎฏเฏ เฎŽเฎŸเฏเฎคเฏเฎค เฎฎเฏเฎŸเฎฟเฎตเฏ | เฎ’เฎฐเฏ‡ เฎจเฏ‡เฎฐเฎคเฏเฎคเฎฟเฎฒเฏ เฎ…เฎฒเฎฑเฎฟเฎฏ เฎ†เฎจเฏเฎคเฎฟเฎฐเฎพ,เฎ•เฎฐเฏเฎจเฎพ โ€” Thanthi TV (502,203 views)
  • เคชเฅˆเคธเคพ#marathisong #ajitpawar #rohitpawar #sharadpawar #viralvideo #trending #shorts #marath โ€” Garja Maharashtra (428,883 views)
  • Allah ki madad ๐Ÿ˜ญ #trending #viral #prayer #today #youtubeshorts #shorts #viral #sad โ€” Afifa ful deen (360,239 views)

๐Ÿ”ฌ CAUSAL VALIDATION
Grade distribution across 6 validated models: F:6
High-validity (A/B): 0 tickers (0%) โ€” predictions have statistically confirmed signal

โš ๏ธ 6 low-validity models (D/F): BAC, DIS, IFF, LYV, ODFL, SWKS
Trading engine applies 25% sizing (D) or skips (F) these tickers.
๐Ÿ›๏ธ CONGRESS STOCK TRADES

๐Ÿ“Š 50 trades in last 14 days
๐ŸŸข 41 Purchases | ๐Ÿ”ด 9 Sales
Senate: 31 | House: 19

Most Active Tickers:
  • ๐ŸŸข Bought: AMAT ร—4, HCA ร—2, META ร—2, MNST ร—2, MSFT ร—2
  • ๐Ÿ”ด Sold: SPGI ร—3, NVDA ร—1, ARCC ร—1, ABT ร—1, ACM ร—1

Recent Notable Trades:
  • ๐Ÿ”ด NVDA sold by Sam Liccardo (D-H) โ€” $15,001 - $50,000
  • ๐ŸŸข AAPL bought by Alan Armstrong (R-S) โ€” $250,001 - $500,000
  • ๐ŸŸข ABBV bought by Alan Armstrong (R-S) โ€” $15,001 - $50,000
  • ๐Ÿ”ด ABT sold by Alan Armstrong (R-S) โ€” $15,001 - $50,000
  • ๐Ÿ”ด ACM sold by Alan Armstrong (R-S) โ€” $15,001 - $50,000
  • ๐ŸŸข AMAT bought by Alan Armstrong (R-S) โ€” $15,001 - $50,000
  • ๐ŸŸข AMD bought by Alan Armstrong (R-S) โ€” $15,001 - $50,000
  • ๐Ÿ”ด AMGN sold by Alan Armstrong (R-S) โ€” $15,001 - $50,000

โ€”
Source: STOCK Act disclosures via QuiverQuant
02 โ€” 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 ๐Ÿ“‰ โ†“ 75.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
2 KEY 100 ๐Ÿ“‰ โ†“ 64.5%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
3 FFIV 100 ๐Ÿ“‰ โ†“ 73.0%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
4 JNJ 100 ๐Ÿ“ˆ โ†‘ 95.0%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
5 USB 100 ๐Ÿ“‰ โ†“ 75.1%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
6 WFC 100 ๐Ÿ“‰ โ†“ 64.1%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
7 PTC 99 ๐Ÿ“ˆ โ†‘ 95.0%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
8 AAPX 95 ๐Ÿ“ˆ โ†‘ 95.0%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
9 ADSK 95 ๐Ÿ“ˆ โ†‘ 95.0%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
10 LYV 95 ๐Ÿ“ˆ โ†‘ 95.0%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 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 CPT 100 ๐Ÿ“ˆ โ†‘ 33.7%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
2 SWK 100 ๐Ÿ“‰ โ†“ 48.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
3 WAB 100 ๐Ÿ“ˆ โ†‘ 33.7%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
4 BAC 100 ๐Ÿ“ˆ โ†‘ 38.4%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
5 IFF 100 ๐Ÿ“ˆ โ†‘ 33.7%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
6 ODFL 100 ๐Ÿ“‰ โ†“ 48.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
7 SWKS 100 ๐Ÿ“ˆ โ†‘ 33.7%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
8 BBY 100 ๐Ÿ“‰ โ†“ 48.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
9 DIS 100 ๐Ÿ“ˆ โ†‘ 48.6%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
10 INTU 99 ๐Ÿ“ˆ โ†‘ 38.4%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3

๐Ÿ“– Legend

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

๐Ÿ“ˆ โ†‘ BULLISH - Model indicates upward momentum

๐Ÿ“‰ โ†“ 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 (Aโ€“F) โ€” 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 โ€” potential bounce candidate  |  Q4 Mildly oversold  |  Q3 Neutral  |  Q2 Mildly overbought  |  Q1 Most overbought โ€” potential fade candidate

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

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

๐ŸŸข Green rows: High confidence (โ‰ฅ60%)

๐Ÿ”ด Red rows: Low confidence (<52%)

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

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โš ๏ธ IMPORTANT DISCLAIMERS

๐Ÿ“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.

๐Ÿ’ฐ 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.

๐Ÿšซ 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.

๐Ÿค– 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.

๐Ÿ“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.

๐Ÿ“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.

โš–๏ธ 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.

๐Ÿ‘ค 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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