MoneySignals Daily Predictions · Top Predictions
2026-09-23 (Wednesday) · secret tier
Tickers
260
With Signals
260
Daily
260
Weekly
0
Monthly
0

Generated: 2026-09-23 05:34:17 EST

01 โ€” MODEL SCORECARD
How Our Picks Did — Tuesday, Sep 22
140/264 correct — 53.0% BULLISH 69/127 (54.3%) vs BEARISH 71/137 (51.8%)
Balanced display sample: 10 of 264 validated tickers (highest stored model scores, up to half per direction). Stored score is the archived model output, not realized accuracy. Accuracy above covers the full session. Signal return is the move in the called direction (long bullish / short bearish, before costs) — a correct bearish call shows as a gain.
Ticker Predicted Stored Score Actual Result Signal Return
BKNG ↑ BULLISH 95.0% ↓ BEARISH -2.55%
BKR ↑ BULLISH 95.0% ↓ BEARISH -0.99%
BXP ↑ BULLISH 95.0% ↑ BULLISH +0.28%
CDNS ↑ BULLISH 95.0% ↑ BULLISH +2.73%
LRCX ↑ BULLISH 95.0% ↑ BULLISH +2.87%
CE ↓ BEARISH 95.0% ↑ BULLISH -6.89%
DXC ↓ BEARISH 95.0% ↑ BULLISH -0.37%
GL ↓ BEARISH 95.0% ↓ BEARISH +1.59%
HAS ↓ BEARISH 95.0% ↓ BEARISH +0.92%
HSY ↓ BEARISH 95.0% ↑ BULLISH -0.33%
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 33 of 35 headlines shown
Important events โ€” next trading day (2026-09-24)
  • Costco FY2026 Q4 earnings call
    14:00 PDT (America/Los_Angeles)
    Source schedule ยท Source reviewed 2026-09-07 โ€” review due
    Company-scheduled earnings call. Call time is not the results publication time.

US release schedule pins through 2026-12-31; selected releases only.

Importance is MoneySignals editorial classification; schedules can change.

Selected agency and company schedules and exchange-calendar rules; not a complete global calendar. Congressional hearings are not included.

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 2026-09-22 close):
  • SPY โ€” no fire (last: 2026-09-10, 8 trading days ago)
  • IWM โ€” no fire (last: 2026-09-10, 8 trading days ago)
  • VTI โ€” no fire (last: 2026-09-10, 8 trading days ago)
  • XLY โ€” no fire (last: 2026-06-02, 77 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€” 270 trades since 1993: 64.8% win vs 57.9% above-trend base ยท +0.57% avg per 5-day trade
  • IWM โ€” 195 trades since 2000: 62.1% win vs 53.0% above-trend base ยท +0.68% avg per 5-day trade
  • VTI โ€” 196 trades since 2001: 63.8% win vs 57.5% above-trend base ยท +0.47% 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. Trump-Xi summit puts AI safety talks on the table but neither side wants to slow down
๐ŸŸข NVDA, MSFT, GOOGL

2. U.N. Updates: As Trump Threatens Iran, Other Leaders Warn of Deep Divisions
๐ŸŸข XLE, GLD, DFEN

3. AI Rally, Weaker Yen Set the Stage for Japanโ€™s Market Return
๐ŸŸข NVDA, MSFT, GOOGL, AMD

4. Iran says Trumpโ€™s threats a sign of โ€˜strategic desperation,โ€™ floats conditions for Ho...
๐ŸŸข XLE, GLD, DFEN

5. You canโ€™t trade your way through the AI apocalypse
๐ŸŸข NVDA, MSFT, GOOGL, AMD

6. Here are the hidden flaws in Warshโ€™s new way of tracking inflation
๐ŸŸข TIP, GLD ยท ๐Ÿ”ด TLT

๐Ÿ“Š Ticker Signal Summary:
  • ๐ŸŸข Bullish: GLD (Related to) ร—6, NVDA (Related to) ร—3, MSFT (Related to) ร—3, GOOGL (Related to) ร—3, AMD (Related to) ร—3, XLE (Related to) ร—2
  • ๐Ÿ”ด Bearish: TLT (Related to) ร—2
  • โšช Mixed: DJT (Related to) ร—3, XLF (Related to) ร—1, SLV (Related to) ร—1, SILJ (Related to) ร—1
๐Ÿง  MARKET SYNTHESIS & OPPORTUNITIES


  • Sector leadership: Homebuilding (3.8%)
  • Sector weakness: Consumer Finance (-2.7%)
Economic calendar โ€” 2026-09-24

Selected global economic and policy events.

No matching events in the reviewed coverage for this date.

US release schedule pins through 2026-12-31; selected releases only.

Importance is MoneySignals editorial classification. These are schedule facts; actual, forecast and previous values are not supplied. Source review dates are not live update times. Schedules can change.

๐Ÿ“Š PUT/CALL RATIO ANALYSIS

Latest Options Activity: 2026-09-21

Market Sentiment Interpretation:
๐Ÿ‚โœ… Bullish - More call activity than put activity

Key Ratios:
  • TOTAL PUT/CALL RATIO: 0.740
Overall market sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • EQUITY PUT/CALL RATIO: 0.530
Individual stock sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • INDEX PUT/CALL RATIO: 0.800
Index options sentiment - ๐Ÿ‚โœ… Bullish (Call buying > Put buying - Moderate upside)

  • CBOE VOLATILITY INDEX (VIX) PUT/CALL RATIO: 0.590
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
35
Fear
Crypto
71
Greed
๐Ÿ“Š FEAR & GREED INDEX

Data Collected: 2026-09-23 05:34:16

๐Ÿ›๏ธ Stock Market: 35/100 - FEAR ๐ŸŸก
๐Ÿ’ก Pessimistic sentiment

โ‚ฟ Crypto Market: 71/100 - 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:
  • measles (5000+ searches) โ€” Third measles case linked to exposure on Missouri train
  • ryan nembhard (2000+ searches) โ€” Sources: Hawks trade Hield, Nembhard to Hornets for Finney-S
  • andy green (2000+ searches) โ€” Mets remove interim manager tag, hire Andy Green to 3-year d
  • case keenum (2000+ searches) โ€” Sources: Bagent has concussion, leaving Bears QB situation u
  • affordable care act (1000+ searches) โ€” Trump Officials Eject 750,000 From Obamacare Markets, Claimi
  • dairy queen oreo halloween blizzard (1000+ searches) โ€” Dairy Queen and Oreo Are Teaming up for a New, First-Of-Its-
  • adam schefter (500+ searches) โ€” What's next for Jayden Daniels, Commanders after elbow injur
  • taylor swift countdown (500+ searches) โ€” Taylor Swift has fans spiraling over cryptic countdown and โ€˜
  • brewers vs phillies (500+ searches) โ€” Brewers can clinch first-round playoff bye with win vs Phill
  • bayern vs man city (200+ searches) โ€” Bayern Munich 2-2 Manchester City: Visitors recover on Women

๐Ÿ“– Wikipedia Most-Viewed:
  • Lizzie Borden (806,041 page views)
  • Cindy Crawford (474,205 page views)
  • Rande Gerber (343,136 page views)
  • Kaia Gerber (277,960 page views)
  • .xyz (257,104 page views)
  • Resident Evil (2026 film) (220,014 page views)
  • Presley Gerber (209,319 page views)
  • Monster: The Lizzie Borden Story (196,566 page views)
  • Chad Gilbert (191,144 page views)
  • Lanterns (TV series) (164,528 page views)

๐Ÿ”ถ Hacker News Top Stories:
  • Claude Opus 5.5 (970 pts, 704 comments)
  • GPT-6 Sol and Luna (917 pts, 486 comments)
  • OpenAI GPTโ€“6 Astra breaks Enigma message that has resisted solution since 2005 (508 pts, 345 comments)
  • Apple has added persistent 'ads' to iOS, and it's driving users crazy (431 pts, 334 comments)
  • Can gzip be a language model? (348 pts, 130 comments)
  • OpenAI is well positioned to fast-follow Jev (233 pts, 176 comments)
  • AMD's random number generator can't generate a 0? (220 pts, 160 comments)
  • 'We hacked the FBI:' Hackers say they have data on all FBI employees (193 pts, 136 comments)

โ–ถ๏ธ YouTube Viral:
  • Allah ki madad #trending #viral #prayer #today #youtubeshorts #shorts #viral #sad โ€” Afifa ful deen (1,218,948 views)
  • Allah Tala ke madad ๐Ÿ˜ญ #ytshorts #news #prayer #today #trending #emotional #shorts โ€” Faisal & Hassan (725,610 views)
  • Allah Sub Dikh Raha hai ๐Ÿ˜ญ #ytshorts #news #prayer #today #trending #emotional #shorts โ€” Ismal Spark (493,344 views)
  • Allah Tala ke madad ๐Ÿ˜ญ #ytshortsโ€‹โ€‹ #news#prayer#today#trending#emotionalโ€‹โ€‹#youtubeshortsโ€‹โ€‹# โ€” Deen Spark (478,964 views)
  • AI is starting to look more disturbing than sci-fi | Fareed's Take โ€” CNN (355,067 views)
  • Iran America War Update: เคฏเฅเคฆเฅเคง เค•เฅ‡ เคฎเฅˆเคฆเคพเคจ เคธเฅ‡ เคธเฅ€เคงเฅ‡ Live |Trump | US Military | Hormuz | IRGC โ€” TV9 Bharatvarsh (349,548 views)

๐Ÿ”ฌ CAUSAL VALIDATION
Grade distribution across 14 validated models: D:1 | F:13
High-validity (A/B): 0 tickers (0%) โ€” predictions have statistically confirmed signal

โš ๏ธ 14 low-validity models (D/F): APH, FFIV, FICO, ICE, LUV, ODFL, PAYC, RCL, SWK, SWKS, USB, WAB, WDC, 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 21 Sales
Senate: 10 | House: 40

Most Active Tickers:
  • ๐ŸŸข Bought: WMB ร—2, ACN ร—2, PEP ร—2, NFLX ร—2, MSFT ร—2
  • ๐Ÿ”ด Sold: MSFT ร—3, GOOGL ร—2, GOOG ร—2, JPM ร—2, HWM ร—2

Recent Notable Trades:
  • ๐Ÿ”ด ABBV sold by Pete Sessions (R-H) โ€” $15,001 - $50,000
  • ๐Ÿ”ด GOOGL sold by Pete Sessions (R-H) โ€” $15,001 - $50,000
  • ๐ŸŸข WMB bought by Alan Armstrong (R-S) โ€” $15,001 - $50,000
  • ๐Ÿ”ด MSFT sold by Josh Gottheimer (D-H) โ€” $500,001 - $1,000,000
  • ๐Ÿ”ด MSFT sold by Josh Gottheimer (D-H) โ€” $250,001 - $500,000
  • ๐ŸŸข MSFT bought by Josh Gottheimer (D-H) โ€” $250,001 - $500,000
  • ๐ŸŸข MSFT bought by Josh Gottheimer (D-H) โ€” $500,001 - $1,000,000
  • ๐Ÿ”ด MSFT sold by Thomas H. Kean, Jr. (R-H) 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†“ 95.0%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
2 NI 100 ๐Ÿ“‰ โ†“ 86.7%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
3 TRMB 100 ๐Ÿ“ˆ โ†‘ 58.8%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
4 LUV 100 ๐Ÿ“‰ โ†“ 68.2%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
Want more detail? Explore every published prediction and live stats.
Explore MoneySignals.us →

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 AOS 100 ๐Ÿ“ˆ โ†‘ 28.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
2 FICO 100 ๐Ÿ“‰ โ†“ 41.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
3 RCL 100 ๐Ÿ“‰ โ†“ 52.2%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
4 SWK 100 ๐Ÿ“ˆ โ†‘ 20.0%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
5 WAB 100 ๐Ÿ“ˆ โ†‘ 37.3%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
6 WDC 100 ๐Ÿ“ˆ โ†‘ 20.0%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
7 WTW 100 ๐Ÿ“‰ โ†“ 39.4%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
8 ZBRA 100 ๐Ÿ“ˆ โ†‘ 20.0%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
9 FFIV 100 ๐Ÿ“ˆ โ†‘ 25.5%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
10 ICE 100 ๐Ÿ“‰ โ†“ 43.5%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
11 JNJ 100 ๐Ÿ“ˆ โ†‘ 21.0%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” N/A 1/3
12 ODFL 100 ๐Ÿ“‰ โ†“ 20.0%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
13 PAYC 100 ๐Ÿ“‰ โ†“ 47.4%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
14 SWKS 100 ๐Ÿ“‰ โ†“ 20.0%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” D 1/3
15 USB 100 ๐Ÿ“‰ โ†“ 31.0%
โ€” โ€” 0.0%
โ€” โ€” 0.0%
โ€” โ€” โ€” F 1/3
16 APH 100 ๐Ÿ“ˆ โ†‘ 30.8%
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