MoneySignals Daily Predictions · Top Predictions
2026-09-22 (Tuesday) · secret tier
Tickers
264
With Signals
264
Daily
264
Weekly
0
Monthly
0

Generated: 2026-09-22 05:35:27 EST

01 β€” MODEL SCORECARD
How Our Picks Did — Monday, Sep 21
145/266 correct — 54.5% BULLISH 84/123 (68.3%) vs BEARISH 61/143 (42.7%)
Balanced display sample: 10 of 266 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
AES ↑ BULLISH 95.0% FLAT +0.00%
AMAT ↑ BULLISH 95.0% ↑ BULLISH +4.42%
BKR ↑ BULLISH 95.0% ↑ BULLISH +1.01%
CDNS ↑ BULLISH 95.0% ↑ BULLISH +4.24%
JCI ↑ BULLISH 95.0% ↑ BULLISH +1.33%
AVY ↓ BEARISH 95.0% ↑ BULLISH -0.97%
CF ↓ BEARISH 95.0% ↓ BEARISH +3.47%
DIS ↓ BEARISH 95.0% ↑ BULLISH -1.52%
FRT ↓ BEARISH 95.0% ↓ BEARISH +0.25%
GL ↓ BEARISH 95.0% ↓ BEARISH +0.73%
04 β€” NEWS & EVENTS
πŸ“° MARKET-RELEVANT NEWS


πŸ’Ό Business & Markets:

πŸ›οΈ Economy & Fed:

πŸ‡ΊπŸ‡Έ US News:

🌍 World News:

πŸ’» Technology:

πŸ“Š 32 of 33 headlines shown
Important events β€” next trading day (2026-09-23)

No matching important events in the reviewed coverage for this date.

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.

🎯 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 β†’ 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 2026-09-21 close):
  • SPY β€” no fire (last: 2026-09-10, 7 trading days ago)
  • IWM β€” no fire (last: 2026-09-10, 7 trading days ago)
  • VTI β€” no fire (last: 2026-09-10, 7 trading days ago)
  • XLY β€” no fire (last: 2026-06-02, 76 trading days ago)
No active fire β€” the normal state. Fires average 8-10 per year per ETF.

Measured record (next-open entry, de-overlapped fires, full history):
  • SPY β€” 270 trades since 1993: 64.8% win vs 57.9% above-trend base Β· +0.57% avg per 5-day trade
  • IWM β€” 195 trades since 2000: 62.1% win vs 53.0% above-trend base Β· +0.68% avg per 5-day trade
  • VTI β€” 196 trades since 2001: 63.8% win vs 57.5% above-trend base Β· +0.47% avg per 5-day trade
  • XLY β€” 238 trades since 1998: 62.6% win vs 55.0% above-trend base Β· +0.69% avg per 5-day trade

⚠️ Backtest statistics, not live trading results. These four ETFs are highly correlated β€” 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 βˆ’8%). The 2005-2014 era did not clear the gate. Not financial advice.

πŸ“‘ Live state, per-timing splits and every caveat via the free API: GET /api/v1/signals/etf-pullback β€” included with the free key every subscriber already has.
🎯 MARKET SIGNALS FROM NEWS


πŸ“° Key Headlines & Ticker Implications:

1. Oil prices reverse gains as United Nations General Assembly meeting lifts hopes for I...
🟒 DFEN, GLD, XLE, VXX

2. Why Japan’s markets flipped the usual script after central bank rate hike
🟒 XLF Β· πŸ”΄ TLT, QQQ, GLD

3. AI solved one of math's hardest problems. Humanity learned nothing (so far)
🟒 NVDA, MSFT, GOOGL, AMD

4. How to Use AI With Your Privacy Intact
🟒 NVDA, MSFT, GOOGL, AMD

5. The Other Victims of China’s Church Crackdown

6. Novo CEO signals M&A opportunities to strengthen drug pipeline

πŸ“Š Ticker Signal Summary:
  • 🟒 Bullish: NVDA (Related to) Γ—3, MSFT (Related to) Γ—2, GOOGL (Related to) Γ—2, AMD (Related to) Γ—2, DFEN (Related to) Γ—1, XLE (Related to) Γ—1
  • πŸ”΄ Bearish: TLT (Related to) Γ—1, QQQ (Related to) Γ—1
  • βšͺ Mixed: GLD (Related to) Γ—2, AAPL (Related to) Γ—2, USO (Related to) Γ—1, KRE (Related to) Γ—1
🧠 MARKET SYNTHESIS & OPPORTUNITIES


  • Sector leadership: Internet Services & Infrastructure (7.2%)
  • Sector weakness: Steel (-2.3%)
Economic calendar β€” 2026-09-23

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.

πŸ“Š PUT/CALL RATIO ANALYSIS

Latest Options Activity: 2026-09-21

Market Sentiment Interpretation:
πŸ‚βœ… Bullish - More call activity than put activity

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

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

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

  • CBOE VOLATILITY INDEX (VIX) PUT/CALL RATIO: 0.590
Volatility sentiment - 🐻⚠️ Bearish (VIX Call buying > VIX Put buying - Volatility expected)

πŸ’‘ SECRET TIER ACCESS:
  • Complete Put/Call ratio analysis
  • All key market sentiment indicators
03 β€” MARKET SENTIMENT
Stock Market
33
Fear
Crypto
78
Extreme Greed
πŸ“Š FEAR & GREED INDEX

Data Collected: 2026-09-22 05:35:26

πŸ›οΈ Stock Market: 33/100 - FEAR 🟑
πŸ’‘ Pessimistic sentiment

β‚Ώ Crypto Market: 78/100 - EXTREME GREED πŸ”΄

πŸ’‘ Fear & Greed Insights:
  • Extreme Fear = Potential buying opportunity
  • Extreme Greed = Potential selling opportunity
  • Use as contrarian indicator for market timing
🌍 TRENDING TOPICS (4 sources)


What people are searching, watching, and sharing today

πŸ” Google Trending Searches:
  • monday night football (10000+ searches) β€” How to bet Giants-Rams on MNF: Analysis, tips and favorite p
  • puka nacua (2000+ searches) β€” Rams' Puka Nacua again misses practice, questionable for MNF
  • newark airport (2000+ searches) β€” FAA equipment outage causing significant delays at Northeast
  • jennifer eckhart (2000+ searches) β€” Former Fox News producer who sued anchor over alleged assaul
  • meta stock (2000+ searches) β€” Meta stock rockets 10% on price target increase, Muse AI dow
  • bryson dechambeau (2000+ searches) β€” Trump spotted with golf star Bryson DeChambeau and his glam
  • gracie mansion (2000+ searches) β€” Live Updates: Mamdani and Trump Address Reporters After Visi
  • comerica park (1000+ searches) β€” Live at 3:15: Fifth Third & Detroit Tigers to announce new n
  • baseball (1000+ searches) β€” Pirates ace Paul Skenes opens up about his struggles β€” and t
  • el nino (1000+ searches) β€” State of emergency declared for all of California ahead of s

πŸ“– Wikipedia Most-Viewed:
  • Lizzie Borden (1,022,634 page views)
  • Resident Evil (2026 film) (268,382 page views)
  • Monster: The Lizzie Borden Story (253,570 page views)
  • UFC 331 (237,626 page views)
  • Lane Kiffin (220,263 page views)
  • Chad Gilbert (208,302 page views)
  • Aileen Wuornos (190,573 page views)
  • Trinidad Chambliss (181,840 page views)
  • 2026 Asian Games (174,179 page views)
  • Gable Steveson (169,576 page views)

πŸ”Ά Hacker News Top Stories:
  • What happened to the Snowden archive (641 pts, 455 comments)
  • AX – Google’s Open Agentic Orchestrator (618 pts, 283 comments)
  • Attention is all you have (486 pts, 146 comments)
  • What Sun got wrong (443 pts, 244 comments)
  • Grok 4.7 (435 pts, 354 comments)
  • Kev: Tiny Jev-like family of decision models built on top of Qwen3.5 (374 pts, 167 comments)
  • Grim Fandango Puzzle Document (1996) [pdf] (336 pts, 75 comments)
  • Xiaomi MiMo v2.6 (275 pts, 115 comments)

▢️ YouTube Viral:
  • Allah Tala ke madad😭#ytshorts #news #prayer #today #trending #emotional #youtubeshorts#sho β€” Deen Vision (2,169,594 views)
  • Allah Will Turn Tears Into Joy 🀲 #ytshorts #news #prayer #today #trending #emotional #shor β€” Huzaifa Shorts (1,222,392 views)
  • ABC World News Tonight with David Muir Full Broadcast - Sept. 20, 2026 β€” ABC News (870,770 views)
  • Faith Makes The Heart Strong ❀️ #ytshorts #news #prayer #today #trending #emotional #short β€” Filmax Shorts (852,806 views)
  • The Briefing With Jen Psaki 9/20/26 | πŸ…ΌπŸ†‚πŸ…½πŸ…±οΈπŸ…² Breaking News Today September 20, 2026 β€” One Gain X3 (500,222 views)
  • Allah Tala Ki Madad 😭 #viral #ytshorts #news #emotional #today #prayer #help #shorts β€” Heart Islam (414,743 views)

πŸ”¬ CAUSAL VALIDATION
Grade distribution across 13 validated models: D:1 | F:12
High-validity (A/B): 0 tickers (0%) β€” predictions have statistically confirmed signal

⚠️ 13 low-validity models (D/F): APH, BBY, FICO, ICE, LUV, MET, ODFL, PAYC, RCL, SWKS, WAB, WDC, WTW
Trading engine applies 25% sizing (D) or skips (F) these tickers.
πŸ›οΈ CONGRESS STOCK TRADES


πŸ“Š 50 trades in last 14 days
🟒 25 Purchases | πŸ”΄ 21 Sales
Senate: 10 | House: 40

Most Active Tickers:
  • 🟒 Bought: WMB Γ—2, ACN Γ—2, PEP Γ—2, NFLX Γ—2, MSFT Γ—2
  • πŸ”΄ Sold: MSFT Γ—3, GOOGL Γ—2, GOOG Γ—2, JPM Γ—2, HWM Γ—2

Recent Notable Trades:
  • πŸ”΄ ABBV sold by Pete Sessions (R-H) β€” $15,001 - $50,000
  • πŸ”΄ GOOGL sold by Pete Sessions (R-H) β€” $15,001 - $50,000
  • 🟒 WMB bought by Alan Armstrong (R-S) β€” $15,001 - $50,000
  • πŸ”΄ MSFT sold by Josh Gottheimer (D-H) β€” $500,001 - $1,000,000
  • 🟒 MSFT bought by Josh Gottheimer (D-H) β€” $500,001 - $1,000,000
  • 🟒 MSFT bought by Josh Gottheimer (D-H) β€” $250,001 - $500,000
  • πŸ”΄ MSFT sold by Josh Gottheimer (D-H) β€” $250,001 - $500,000
  • πŸ”΄ MSFT sold by Thomas H. Kean, Jr. (R-H) β€” $15,001 - $50,000

β€”
Source: STOCK Act disclosures via QuiverQuant
02 β€” 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 AOS 100 πŸ“‰ ↓ 78.8%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
2 BIO 100 πŸ“‰ ↓ 91.9%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
3 FICO 100 πŸ“‰ ↓ 65.8%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
4 NI 100 πŸ“‰ ↓ 77.5%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
5 WTW 100 πŸ“‰ ↓ 67.8%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
6 APH 100 πŸ“ˆ ↑ 55.2%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
7 BBY 100 πŸ“‰ ↓ 56.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
Want more detail? Explore every published prediction and live stats.
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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 πŸ“ˆ ↑ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
2 MET 100 πŸ“‰ ↓ 22.4%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
3 RCL 100 πŸ“ˆ ↑ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
4 TRMB 100 πŸ“‰ ↓ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
5 WAB 100 πŸ“ˆ ↑ 24.7%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
6 WDC 100 πŸ“‰ ↓ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
7 ZBRA 100 πŸ“ˆ ↑ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
8 ICE 100 πŸ“‰ ↓ 33.8%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
9 JNJ 100 πŸ“ˆ ↑ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
10 LUV 100 πŸ“ˆ ↑ 35.6%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
11 ODFL 100 πŸ“ˆ ↑ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
12 PAYC 100 πŸ“‰ ↓ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
13 SWKS 100 πŸ“‰ ↓ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” D 1/3

πŸ“– Legend

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

πŸ“ˆ ↑ BULLISH - Model indicates upward momentum

πŸ“‰ ↓ 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) β€” 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 β€” potential bounce candidate  |  Q4 Mildly oversold  |  Q3 Neutral  |  Q2 Mildly overbought  |  Q1 Most overbought β€” 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 (β‰₯60%)

πŸ”΄ Red rows: Low confidence (<52%)

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

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⚠️ IMPORTANT DISCLAIMERS

πŸ“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.

πŸ’° 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.

πŸ€– 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.

πŸ“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.

πŸ“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.

βš–οΈ 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.

πŸ‘€ 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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