MoneySignals Daily Predictions · Top Predictions
2026-08-24 (Monday) · secret tier
Tickers
276
With Signals
276
Daily
276
Weekly
0
Monthly
0

Generated: 2026-08-21 05:36:50 EST

01 โ€” MODEL SCORECARD
How Our Picks Did — Thursday, Aug 20
7/10 correct — 70% BULLISH calls 70%
Ticker Predicted Conf Actual Result Return
CSX ↑ BULLISH 95.0% ↑ BULLISH ✓ +0.57%
CTSH ↑ BULLISH 95.0% ↓ BEARISH ✗ -0.02%
CE ↑ BULLISH 95.0% ↑ BULLISH ✓ +1.56%
BKNG ↑ BULLISH 95.0% ↓ BEARISH ✗ -1.47%
CMG ↑ BULLISH 95.0% ↑ BULLISH ✓ +1.82%
APA ↑ BULLISH 95.0% ↑ BULLISH ✓ +2.16%
ACN ↑ BULLISH 95.0% ↓ BEARISH ✗ -0.99%
CAG ↑ BULLISH 95.0% ↑ BULLISH ✓ +0.31%
A ↑ BULLISH 95.0% ↑ BULLISH ✓ +0.57%
KO ↑ BULLISH 95.0% ↑ BULLISH ✓ +0.17%
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 37 of 40 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€” 9 mentions, 7 sources
How Harvardโ€™s Epic Fight With Trump Is Costing the University
  • ๐ŸŸก Scott Bessent [TLT, UUP, GLD] โ€” 4 mentions, 2 sources
Longer-dated Treasury yields steady as Bessent's bond buyback rally fizzles...
  • โšช JD Vance [QQQ] โ€” 1 mention, 1 source
'A delicate dance': JD Vance says economic pressure is the best way to achi...

๐ŸŒ Geopolitical:
  • ๐ŸŸก Kim Jong Un [EWY, ITA, LMT, RTX] โ€” 1 mention, 1 source โœ… LOBBY
As Trump courts Kim, Pyongyang ups price while Seoul fears being sidelined

๐Ÿ›๏ธ Institutions:
  • ๐ŸŸก Federal Reserve [SPY, TLT, GLD, QQQ] โ€” 4 mentions, 2 sources
Federal Reserve Board announces approval of application by National Westmin...

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 2026-08-20 close):
  • SPY โ€” no fire (last: 2026-07-29, 16 trading days ago)
  • IWM โ€” no fire (last: 2026-07-20, 23 trading days ago)
  • VTI โ€” open hold window, day 2 of 5 (fired 2026-08-18). Entering mid-window was not part of the validated timing โ€” informational only.
  • XLY โ€” no fire (last: 2026-06-02, 55 trading days ago)

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 55.0% 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. Australia charges man for passing Ukrainian military intel to Russia
๐ŸŸข DFEN, LMT, RTX ยท ๐Ÿ”ด RSX

2. Federal Reserve Board announces approval of application by National Westminster Bank ...

3. Federal Reserve Board issues enforcement action with SouthPoint Bancshares, Inc. and ...

4. Federal Reserve Board issues enforcement actions with former employee of Regions Bank...

5. How Harvardโ€™s Epic Fight With Trump Is Costing the University

6. IMO Contradicts Trump Claims on Strait of Hormuz

๐Ÿ“Š Ticker Signal Summary:
  • ๐ŸŸข Bullish: GLD (Related to) ร—4, DFEN (Related to) ร—1, LMT (Related to) ร—1, RTX (Related to) ร—1
  • ๐Ÿ”ด Bearish: RSX (Related to) ร—1
  • โšช Mixed: TLT (Related to) ร—3, XLF (Related to) ร—3, KRE (Related to) ร—3, JPM (Related to) ร—3
๐Ÿง  MARKET SYNTHESIS & OPPORTUNITIES

  • Sector leadership: Fertilizers & Agricultural Chemicals (3.9%)
  • Sector weakness: Real Estate Services (-3.2%)
๐Ÿ“† Economic Calendar
No economic events scheduled. Market may be closed or holiday.
๐Ÿ“Š PUT/CALL RATIO ANALYSIS
Latest Options Activity: 2026-08-19

Market Sentiment Interpretation:
๐Ÿ˜โš–๏ธ Neutral - Balanced put/call activity

Key Ratios:
  • TOTAL PUT/CALL RATIO: 0.800
Overall market sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • EQUITY PUT/CALL RATIO: 0.520
Individual stock sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • INDEX PUT/CALL RATIO: 0.970
Index options sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • CBOE VOLATILITY INDEX (VIX) PUT/CALL RATIO: 0.300
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
52
Neutral
Crypto
72
Greed
๐Ÿ“Š FEAR & GREED INDEX
Data Collected: 2026-08-21 05:36:48

๐Ÿ›๏ธ Stock Market: 52/100 - NEUTRAL โšช
๐Ÿ’ก Balanced sentiment

โ‚ฟ Crypto Market: 72/100 - GREED 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:
  • taylor sheridan (2000+ searches) โ€” The shows you didnโ€™t realize Taylor Sheridan is working on
  • starbucks layoffs (2000+ searches) โ€” Starbucks to lay off 224 employees, including workers who de
  • dow jones industrial average (2000+ searches) โ€” Dow falls 600 points with stock losses increasing after a Tr
  • tommy lee jones (1000+ searches) โ€” 2007 Film, Starring Tommy Lee Jones, Named Among the 'Greate
  • macarรก vs santos (1000+ searches) โ€” Why Wonโ€™t Neymar Play for Santos Against Macarรก? Hereโ€™s the
  • rayo vallecano - alavรฉs (1000+ searches) โ€” ยฟQuiรฉn juega hoy jueves 20 de agosto en LaLiga? Partido, hor
  • africa (1000+ searches) โ€” Rescuers recover more bodies after Central African Republic
  • pick 3 (500+ searches) โ€” Fantasy Football 'Do Draft' list: Derrick Henry, Patrick Mah
  • conor kennedy (500+ searches) โ€” Taylor Swiftโ€™s Ex-Boyfriend Conor Kennedy Has Been Put on In
  • terremoto en peru (500+ searches) โ€” Sismo de magnitud 7,2 se registra en Perรบ

๐Ÿ“– Wikipedia Most-Viewed:
  • Hayden Panettiere (748,540 page views)
  • Natalie Harp (296,033 page views)
  • Google (284,869 page views)
  • Spider-Man: Brand New Day (187,879 page views)
  • Frank Beard (musician) (154,086 page views)
  • Awarapan 2 (145,425 page views)
  • Deaths in 2026 (137,368 page views)
  • The Odyssey (2026 film) (134,753 page views)
  • Wladimir Klitschko (130,276 page views)
  • ZZ Top (125,167 page views)

๐Ÿ”ถ Hacker News Top Stories:
  • AliExpress runs silent WebAudio fingerprinting that breaks Bluetooth multipoint (798 pts, 271 comments)
  • HTML Can Do That (485 pts, 139 comments)
  • I like 'em thick: an apology to my English teachers (471 pts, 226 comments)
  • Show HN: I trained a 125M model to autocomplete piano on-device (454 pts, 100 comments)
  • Malicious Rust crate Arrayref runs a build-time payload (339 pts, 326 comments)
  • Aaron Swartz was prosecuted for scraping, while Meta does it without consequence (336 pts, 49 comments)
  • CIA funding helped keep NeXT afloat in the 80s (284 pts, 184 comments)
  • Mojo is now open source (269 pts, 62 comments)

โ–ถ๏ธ YouTube Viral:
  • Allah ki madad #trending #viral #prayer #today #youtubeshorts #shorts #viral #sad โ€” Afifa ful deen (1,130,182 views)
  • Viral Video : Abhijeet Dipke เคธเฅ‡ เคฎเคฟเคฒเคจเฅ‡ เค‰เคจเค•เฅ‡ เค˜เคฐ เคชเคนเฅเค‚เคšเฅ‡ เคฎเคนเคพเคคเฅเคฎเคพ เค—เคพเค‚เคงเฅ€ เค•เฅ‡ เคชเคฐเคชเฅ‹เคคเฅ‡ ! #viralshort โ€” ABP NEWS (827,742 views)
  • Allah Tala Ki Madad โค๏ธ #emotional #today #prayer #trending #ytshorts #youtubeshorts #news โ€” Power of Deen Islam (698,279 views)
  • เดจเดฟเดฒเดตเดฟเดณเด•เตเด•เต เดชเดฟเดŸเดฟเดšเตเดšเต เด…เดจเตเดฎเต‹เตพ เด•เดฏเดฑเดฟ ๐Ÿ˜๐Ÿ˜โค๏ธโค๏ธ #trending #viral #shorts โ€” Diya krishnaa shorts (517,425 views)
  • Allah Tala ke madad ๐Ÿ˜ญ #ytshorts #news #prayer#today#trending #emotional#youtubeshorts#shor โ€” Deen Spark (502,314 views)
  • Yash Palak funn ๐Ÿคฃ#rimjhim #sameer #viral #video #love #funny #today #video #shorts #cute โ€” The YT surru (367,323 views)

๐Ÿ”ฌ CAUSAL VALIDATION
Grade distribution across 12 validated models: F:12
High-validity (A/B): 0 tickers (0%) โ€” predictions have statistically confirmed signal

โš ๏ธ 12 low-validity models (D/F): BAC, BBY, FFIV, ICE, IFF, KEY, MET, ODFL, SWK, SWKS, WFC, 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 12 Purchases | ๐Ÿ”ด 36 Sales
Senate: 9 | House: 41

Most Active Tickers:
  • ๐ŸŸข Bought: AAPL ร—1, AMD ร—1, AMZN ร—1, AVGO ร—1, EQT ร—1
  • ๐Ÿ”ด Sold: ABT ร—2, HD ร—2, AAPL ร—2, GOOGL ร—1, SYK ร—1

Recent Notable Trades:
  • ๐Ÿ”ด ABT sold by Rick W. Allen (R-H) โ€” $15,001 - $50,000
  • ๐Ÿ”ด AAPL sold by Shri Thanedar (D-H) โ€” $100,001 - $250,000

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†“ 64.5%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
2 COO 100 ๐Ÿ“ˆ โ†‘ 95.0%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
3 KEY 100 ๐Ÿ“‰ โ†“ 86.4%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
4 MET 100 ๐Ÿ“‰ โ†“ 58.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
5 OXY 100 ๐Ÿ“ˆ โ†‘ 95.0%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
6 WTW 100 ๐Ÿ“‰ โ†“ 58.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
7 BAC 100 ๐Ÿ“‰ โ†“ 58.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
8 IFF 100 ๐Ÿ“‰ โ†“ 58.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
9 JNJ 100 ๐Ÿ“‰ โ†“ 58.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
10 WFC 100 ๐Ÿ“‰ โ†“ 75.1%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
11 APH 100 ๐Ÿ“‰ โ†“ 58.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
12 BBY 100 ๐Ÿ“‰ โ†“ 86.4%
 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 HUBB 100 ๐Ÿ“‰ โ†“ 48.3%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
2 SWK 100 ๐Ÿ“ˆ โ†‘ 33.7%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
3 FFIV 100 ๐Ÿ“ˆ โ†‘ 33.7%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
4 ICE 100 ๐Ÿ“ˆ โ†‘ 38.4%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
5 NKE 100 ๐Ÿ“ˆ โ†‘ 33.7%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
6 ODFL 100 ๐Ÿ“ˆ โ†‘ 33.7%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” F 1/3
7 PAYC 100 ๐Ÿ“ˆ โ†‘ 33.7%
 โ€” โ€” 0.0%
 โ€” โ€” 0.0%
 โ€” โ€” โ€” N/A 1/3
8 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.

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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.

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