MoneySignals Daily Predictions · Top Predictions
2026-08-10 (Monday) · secret tier
Tickers
309
With Signals
309
Daily
309
Weekly
0
Monthly
0

Generated: 2026-08-07 05:35:14 EST

01 โ€” MODEL SCORECARD
How Our Picks Did — Thursday, Aug 6
3/10 correct — 30% BULLISH calls 30%
Ticker Predicted Conf Actual Result Return
EFX ↑ BULLISH 95.0% ↓ BEARISH -0.89%
EXPD ↑ BULLISH 95.0% ↓ BEARISH -1.57%
COO ↑ BULLISH 95.0% ↓ BEARISH -2.03%
CAH ↑ BULLISH 95.0% ↓ BEARISH -0.66%
DHR ↑ BULLISH 95.0% ↑ BULLISH +0.16%
BWA ↑ BULLISH 95.0% ↓ BEARISH -1.47%
BEN ↑ BULLISH 95.0% ↓ BEARISH -2.63%
CINF ↑ BULLISH 95.0% ↑ BULLISH +0.70%
ACN ↑ BULLISH 95.0% ↑ BULLISH +0.22%
HD ↑ BULLISH 95.0% ↓ BEARISH -1.03%
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 36 of 38 headlines shown
๐ŸŽฏ CORE ENTITY TRACKER


Key individuals and organizations driving markets today

๐Ÿ‡บ๐Ÿ‡ธ US Political:
  • ๐Ÿ”ด Donald Trump [SPY, DIA, QQQ] โ€” 8 mentions, 7 sources
How the Reflecting Pool Came to Mirror Trumpโ€™s Washington

Signal strength: ๐Ÿ”ด high (5+ mentions or corroborated) ๐ŸŸก medium (2+ mentions) โšช low
๐Ÿ“… Important Events for Tomorrow
No major events scheduled for tomorrow.
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 2026-08-06 close):
  • SPY โ€” no fire (last: 2026-07-29, 6 trading days ago)
  • IWM โ€” no fire (last: 2026-07-20, 13 trading days ago)
  • VTI โ€” no fire (last: 2026-07-29, 6 trading days ago)
  • XLY โ€” no fire (last: 2026-06-02, 45 trading days ago)
No active fire โ€” the normal state. Fires average 8-10 per year per ETF.

Measured record (next-open entry, de-overlapped fires, full history):
  • SPY โ€” 268 trades since 1993: 65.3% win vs 57.9% above-trend base ยท +0.58% 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€” 193 trades since 2001: 64.8% win vs 57.7% above-trend base ยท +0.48% 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.
๐ŸŽฏ MARKET SIGNALS FROM NEWS


๐Ÿ“ฐ Key Headlines & Ticker Implications:

1. Oil rises as Iran's draft plan sees U.S. and Israel banned from Strait of Hormuz
๐ŸŸข XLE, GLD, DFEN

2. The state of Iranโ€™s three key nuclear sites
๐ŸŸข XLE, GLD, DFEN

3. Seized on Their Way to Gaza, Activists Tell of Abuse in Israeli Custody
๐ŸŸข DFEN, GLD, XLE

4. Quant Crash in China Sends DeepSeek Founderโ€™s Funds Down 20%
๐Ÿ”ด FXI, BABA, KWEB

5. Micronโ€™s stock falls but is spared the worst of the memory-chip selloff
๐Ÿ”ด SMH, NVDA, AMD

6. Indiaโ€™s IT sector is surviving artificial intelligence
๐ŸŸข NVDA, MSFT, GOOGL

๐Ÿ“Š Ticker Signal Summary:
  • ๐ŸŸข Bullish: XLE (Related to) ร—3, GLD (Related to) ร—3, DFEN (Related to) ร—3, GOOGL (Related to) ร—2, MSFT (Related to) ร—1
  • ๐Ÿ”ด Bearish: FXI (Related to) ร—1, BABA (Related to) ร—1, KWEB (Related to) ร—1, SMH (Related to) ร—1, AMD (Related to) ร—1
  • โšช Mixed: NVDA (Related to) ร—2, META (Related to) ร—2, USO (Related to) ร—1, XOM (Related to) ร—1
๐Ÿง  MARKET SYNTHESIS & OPPORTUNITIES


  • Sector leadership: Human Resource & Employment Services (8.8%)
  • Sector weakness: Homebuilding (-2.7%)
๐Ÿ“… ECONOMIC CALENDAR - SECRET TIER

All Global Events (Sorted by Impact)
Data Collected: 2026-08-07 05:35:11

๐Ÿ’ฑ CNY EVENTS:
๐ŸŸข Low IMPACT:
๐Ÿ• - PPI y/y
Forecast: 3.9% | Previous: 4.1%
๐Ÿ• 6:30pm - CPI y/y
Forecast: 0.8% | Previous: 1.0%

๐Ÿ’ฑ JPY EVENTS:
๐ŸŸข Low IMPACT:
๐Ÿ• 9th-11th - Prelim Machine Tool Orders y/y
Forecast: | Previous:

๐Ÿ’ฑ USD EVENTS:
๐ŸŸข Low IMPACT:
๐Ÿ• 9:45am - FOMC Member Bowman Speaks
Forecast: | Previous:

๐Ÿ“Š DETAILED DATA:
  • Complete CSV data available in attachment
  • File: economic_calendar_20260808_053447.csv

๐Ÿ’ก SECRET TIER ACCESS:
  • All global economic events
  • Sorted by currency and impact level
  • Complete CSV data included
๐Ÿ“Š PUT/CALL RATIO ANALYSIS

Latest Options Activity: 2026-08-05

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

Key Ratios:
  • TOTAL PUT/CALL RATIO: 0.880
Overall market sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • EQUITY PUT/CALL RATIO: 0.600
Individual stock sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • INDEX PUT/CALL RATIO: 0.940
Index options sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • CBOE VOLATILITY INDEX (VIX) PUT/CALL RATIO: 0.390
Volatility sentiment - ๐Ÿป๐Ÿ“‰ Very Bearish (VIX Call buying >> VIX Put buying - High volatility expected)

๐Ÿ’ก SECRET TIER ACCESS:
  • Complete Put/Call ratio analysis
  • All key market sentiment indicators
03 โ€” MARKET SENTIMENT
Stock Market
59
Greed
Crypto
29
Fear
๐Ÿ“Š FEAR & GREED INDEX

Data Collected: 2026-08-07 05:35:13

๐Ÿ›๏ธ Stock Market: 59/100 - GREED ๐ŸŸก
๐Ÿ’ก Optimistic sentiment

โ‚ฟ Crypto Market: 29/100 - 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:
  • cubs (20000+ searches) โ€” Cubs vs. Blue Jays, Thursday 8/6, 1:20 CT live!
  • cubs score (10000+ searches) โ€” MLB Power Rankings Week 19: Post-trade deadline edition
  • jahmyr gibbs (5000+ searches) โ€” Detroit Lions give Jahmyr Gibbs record-breaking contract ext
  • dow jones industrial average (5000+ searches) โ€” Stocks Fall as Oil Rally Boosts Treasury Yields: Markets Wra
  • kaiser permanente (2000+ searches) โ€” Fulton County woman sues Kaiser over cancer surgery mix-up
  • judge (1000+ searches) โ€” Judge grants Trump's request to delay handing financial reco
  • madison keys (1000+ searches) โ€” Zhang through to face Sabalenka in Toronto
  • monaco vs getafe (500+ searches) โ€” AS Monaco Face Getafe in Final Home Friendly Before European
  • benfica - hearts (500+ searches) โ€” Jรก cheira a mundialistas! O onze provรกvel do Benfica para o
  • marta kostyuk (500+ searches) โ€” Sports News, Transfers, Scores | Watch Live Sport

๐Ÿ“– Wikipedia Most-Viewed:
  • Perez Hilton (723,840 page views)
  • Abdul El-Sayed (634,626 page views)
  • Spider-Man: Brand New Day (518,668 page views)
  • The Odyssey (2026 film) (286,283 page views)
  • Pradeep Rawat (actor) (247,800 page views)
  • Glen Hansard (158,134 page views)
  • Zendaya (149,170 page views)
  • Tom Holland (141,034 page views)
  • Deaths in 2026 (135,642 page views)
  • Haley Stevens (131,553 page views)

๐Ÿ”ถ Hacker News Top Stories:
  • Discovery Loop (878 pts, 555 comments)
  • Mario Meets Pareto (802 pts, 142 comments)
  • Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs (797 pts, 854 comments)
  • Crime Pays but Botany Doesn't (620 pts, 191 comments)
  • How to Make a Nintendo 64 Game in 2026 (437 pts, 225 comments)
  • Beating GPT-5.6 Sol on retrieval with 100x cheaper open models (407 pts, 113 comments)
  • Qwen3.8 Max now ranked as the best overall model by agentic index (335 pts, 205 comments)
  • Almost no skill required to cook a steak (226 pts, 260 comments)

โ–ถ๏ธ YouTube Viral:
  • Allah Tala ke madad๐Ÿ˜ญ#ytshorts #news #prayer #today #trending #emotional #youtubeshorts#sho โ€” Deen Vision (391,921 views)
  • Viral News : 3 เคฌเฅ‡เคŸเคฟเคฏเคพเค‚... 2 เคŸเฅ€เคšเคฐ, เคชเคฐ เคฌเคพเคช เค•เฅ‡ เค…เค‚เคคเคฟเคฎ เคฆเคฐเฅเคถเคจ เค•เคพ เคตเค•เฅเคค เคจเคนเฅ€เค‚! | #viral #viralvideo โ€” ABP NEWS (274,135 views)
  • JUST IN: Trump sets the record STRAIGHT on alarming munitions report โ€” Fox News (253,080 views)
  • เฆธเฆšเฆฟเฆฌเฆพเฆฒเฆฏเฆผเง‡เฆฐ เฆธเฆพเฆฎเฆจเง‡ เฆœเฆพเฆฎเฆพเงŸเฆพเฆค- เฆชเงเฆฒเฆฟเฆถ เฆฎเงเฆ–เง‹เฆฎเงเฆ–เฆฟ | Jamaat | Police | ATN Bangla News โ€” ATN Bangla News (242,788 views)
  • Rimjhim new bts #couple #viral #video #today โ€” The YT surru (164,045 views)
  • ๐Ÿ”ดLIVE : TVK | TN Assembly | CM Vijay | TNAgricultureBudgetLIVE | เฎคเฎตเฏ†เฎ• เฎ…เฎฐเฎšเฎฟเฎฉเฏ เฎฎเฏเฎคเฎฒเฏ เฎชเฎŸเฏเฎœเฏ†เฎŸเฏ โ€” Thanthi TV (162,145 views)

๐Ÿ”ฌ CAUSAL VALIDATION
Grade distribution across 5 validated models: F:5
High-validity (A/B): 0 tickers (0%) โ€” predictions have statistically confirmed signal

โš ๏ธ 5 low-validity models (D/F): BAC, IFF, ODFL, SWKS, WTW
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 25 Purchases | ๐Ÿ”ด 24 Sales
Senate: 0 | House: 50

Most Active Tickers:
  • ๐ŸŸข Bought: A ร—1, ADBE ร—1, AEE ร—1, ALK ร—1, AOS ร—1
  • ๐Ÿ”ด Sold: A ร—1, ADBE ร—1, AEE ร—1, ALK ร—1, AOS ร—1

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†“ 73.0%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
2 CPT 100 ๐Ÿ“‰ โ†“ 58.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
3 KEY 100 ๐Ÿ“‰ โ†“ 58.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
4 TXT 100 ๐Ÿ“‰ โ†“ 64.5%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
5 BAC 100 ๐Ÿ“‰ โ†“ 64.5%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
6 FFIV 100 ๐Ÿ“‰ โ†“ 64.5%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
7 PNW 100 ๐Ÿ“‰ โ†“ 64.5%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
8 WFC 100 ๐Ÿ“‰ โ†“ 75.1%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
9 APH 100 ๐Ÿ“‰ โ†“ 58.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
10 BBY 100 ๐Ÿ“‰ โ†“ 86.4%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” 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 ๐Ÿ“ˆ โ†‘ 33.7%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
2 HUBB 100 ๐Ÿ“‰ โ†“ 48.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
3 MTCH 100 ๐Ÿ“‰ โ†“ 48.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
4 SWK 100 ๐Ÿ“‰ โ†“ 48.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
5 WTW 100 ๐Ÿ“ˆ โ†‘ 33.7%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
6 IFF 100 ๐Ÿ“ˆ โ†‘ 38.4%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
7 JNJ 100 ๐Ÿ“‰ โ†“ 48.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
8 ODFL 100 ๐Ÿ“‰ โ†“ 48.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
9 PAYC 100 ๐Ÿ“‰ โ†“ 48.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
10 SWKS 100 ๐Ÿ“ˆ โ†‘ 33.7%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 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.
For questions or concerns, contact: dave@moneysignals.us