MoneySignals Daily Predictions · Top Predictions
2026-09-11 (Friday) · secret tier
Tickers
259
With Signals
259
Daily
259
Weekly
0
Monthly
0

Generated: 2026-09-11 05:35:43 EST

01 β€” MODEL SCORECARD
How Our Picks Did — Thursday, Sep 10
152/288 correct — 52.8% BEARISH 121/187 (64.7%) vs BULLISH 31/101 (30.7%)
Balanced display sample: 10 of 288 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
EXPE ↑ BULLISH 95.0% ↑ BULLISH +1.57%
FICO ↑ BULLISH 95.0% ↓ BEARISH -2.29%
HON ↑ BULLISH 95.0% ↓ BEARISH -1.34%
HST ↑ BULLISH 95.0% ↑ BULLISH +0.45%
OKE ↑ BULLISH 95.0% ↓ BEARISH -0.10%
ABT ↓ BEARISH 95.0% ↓ BEARISH +1.78%
BBY ↓ BEARISH 95.0% ↑ BULLISH -0.07%
BIO ↓ BEARISH 95.0% ↓ BEARISH +2.18%
COF ↓ BEARISH 95.0% ↓ BEARISH +1.78%
CTSH ↓ BEARISH 95.0% ↑ BULLISH -0.21%
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 37 of 39 headlines shown
Important events β€” next trading day (2026-09-14)

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 2026-09-10 close):
  • SPY β€” πŸ”” FIRED at the last close (RSI2 7.3). The validated entry is the NEXT session's open, exiting at the close 5 trading days after the fire.
  • IWM β€” πŸ”” FIRED at the last close (RSI2 5.1). The validated entry is the NEXT session's open, exiting at the close 5 trading days after the fire.
  • VTI β€” πŸ”” FIRED at the last close (RSI2 7.1). The validated entry is the NEXT session's open, exiting at the close 5 trading days after the fire.
  • XLY β€” no fire (last: 2026-06-02, 69 trading days ago)

Measured record (next-open entry, de-overlapped fires, full history):
  • SPY β€” 269 trades since 1993: 65.1% win vs 57.9% above-trend base Β· +0.57% avg per 5-day trade
  • IWM β€” 194 trades since 2000: 62.4% win vs 53.1% above-trend base Β· +0.69% avg per 5-day trade
  • VTI β€” 195 trades since 2001: 64.1% win vs 57.6% 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.
πŸŽ₯ FINANCE YOUTUBE (what independent analysts are arguing)


Curated synthesis of independent finance and macro YouTubers we track. These are THEIR views β€” attributed, not ours β€” 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's saved sample: 5 video(s) from 3 creator(s). Macro tilt 0 bullish / 4 bearish / 0 neutral / 1 mixed.
Recurring themes: debt-refinancing-crisis, long-end-demand-deficit, end-of-cheap-money, maturity-wall-2027, rate-reset-risk
Creators lean bullish: SHV (1ch)
Creators lean bearish: TLT (2ch), META (1ch), DXY (1ch), SNAP (1ch), BUND (1ch)

Latest takes:
  • Casual Finance (BEARISH): The Cheap Money Era Is Coming to an End β€” The era of cheap money is ending as central banks have exhausted short-term debt solutions and face massive debt refinancing. Approximately one-third of deve…
  • Casual Finance (BEARISH): Everything We Know About Debt Is Changing β€” Dutch pension funds are undergoing a historic shift from collective defined benefit to individual defined contribution models, forcing the unwinding of an es…
  • Patrick Boyle (BEARISH): The Social Reckoning That Wasn't β€” Meta's $18 billion settlement with 52 state attorneys general over child safety claims is portrayed as a pyrrhic victory for regulators and a strategic win f…

Falsifiable calls we're tracking:
  • Casual Finance β€” long-end bond yields BULLISH (open-ended): Long-end bond yields will continue rising as demand does not match the exploding supply of longer-duration paper
  • Casual Finance β€” developed-world borrowing costs BEARISH (~457d): One-third of developed-world fixed-rate debt will mature by 2027 and refinance at approximately 2 percentage points higher rates

⚠️ Third-party opinions, tracked and attributed β€” not MoneySignals signals and not yet graded. We surface them for context and will score their accuracy as the calls resolve. Not financial advice.
🎯 MARKET SIGNALS FROM NEWS


πŸ“° Key Headlines & Ticker Implications:

1. Trump says he has no regrets about starting the Iran war as U.S. dials up economic pr...
🟒 DFEN, GLD, XLE, VXX

2. Inside an Ancient Lebanese City Engulfed by War
🟒 DFEN, GLD, XLE, VXX

3. Efron: Iran War Solved None of Israel’s Problems
🟒 DFEN, GLD, XLE, VXX

4. U.S. diesel price tops $6 per gallon, a record high as Ukraine and Iran wars ripple t...
🟒 DFEN, XLE, WEAT, GLD

5. Why So Many AI Researchers Think the Machines Could Kill Everyone
🟒 NVDA, MSFT, GOOGL, AMD

6. The likelihood of a Fed interest rate hike next week just got a lot higher
πŸ”΄ QQQ

πŸ“Š Ticker Signal Summary:
  • 🟒 Bullish: GLD (Related to) Γ—8, XLE (Related to) Γ—6, DFEN (Related to) Γ—5, VXX (Related to) Γ—3, WEAT (Related to) Γ—1, NVDA (Related to) Γ—1
  • πŸ”΄ Bearish: TLT (Related to) Γ—2, QQQ (Related to) Γ—1, RSX (Related to) Γ—1
  • βšͺ Mixed: DJT (Related to) Γ—1, XLF (Related to) Γ—1
🧠 MARKET SYNTHESIS & OPPORTUNITIES


  • Sector leadership: Cable & Satellite (3.7%)
  • Sector weakness: Technology Hardware, Storage & Peripherals (-2.3%)
Economic calendar β€” 2026-09-12

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: 2026-09-09

Market Sentiment Interpretation:
🐻⚠️ Moderately Bearish - Elevated put activity

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

  • EQUITY PUT/CALL RATIO: 0.670
Individual stock sentiment - πŸ‚βœ… Bullish (Call buying > Put buying - Moderate upside)

  • INDEX PUT/CALL RATIO: 0.950
Index options sentiment - πŸ‚βœ… Bullish (Call buying > Put buying - Moderate upside)

  • CBOE VOLATILITY INDEX (VIX) PUT/CALL RATIO: 0.350
Volatility sentiment - πŸ»πŸ“‰ Very Bearish (VIX Call buying >> VIX Put buying - High volatility expected)

πŸ’‘ SECRET TIER ACCESS:
  • Complete Put/Call ratio analysis
  • All key market sentiment indicators
03 β€” MARKET SENTIMENT
Stock Market
31
Fear
Crypto
56
Greed
πŸ“Š FEAR & GREED INDEX

Data Collected: 2026-09-11 05:35:41

πŸ›οΈ Stock Market: 31/100 - FEAR 🟑
πŸ’‘ Pessimistic sentiment

β‚Ώ Crypto Market: 56/100 - GREED 🟑

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:
  • man utd vs sabah (5000+ searches) β€” Carrick names his Champions League XI
  • bayern vs bodΓΈ/glimt (2000+ searches) β€” Confirmed lineups: Bayern Munich vs. BodΓΈ/Glimt
  • jd vance gop midterm convention (2000+ searches) β€” JD Vance to address Republican midterm convention after Trum
  • 49ers depth chart (2000+ searches) β€” Alfred Collins OUT, James Thompson Jr. Questionable vs. Rams
  • braves score (2000+ searches) β€” MLB Power Rankings Week 24: AL contender rising in mid-Septe
  • braves (2000+ searches) β€” Rays 7-2 Braves (Sep 9, 2026) Game Recap
  • aurora - municipal (1000+ searches) β€” EN VIVO | Aurora vs. Municipal: el lΓ­der busca mantener el p
  • tua tagovailoa (1000+ searches) β€” Tua Tagovailoa appears to suffer back discomfort during indi
  • rangers (1000+ searches) β€” Texas Rangers vs Seattle Mariners betting preview as Wild Ca
  • henry winkler tom hanks feud (1000+ searches) β€” Henry Winkler addresses reported Tom Hanks tension after bei

πŸ“– Wikipedia Most-Viewed:
  • Ben Shelton (337,515 page views)
  • Killing of the Clancy children (285,842 page views)
  • Elizabeth Holmes (276,730 page views)
  • Emma Navarro (197,402 page views)
  • Jessica Pegula (166,072 page views)
  • Navier–Stokes equations (150,577 page views)
  • Deaths in 2026 (135,900 page views)
  • Trinity Rodman (133,361 page views)
  • Hanuman Ansh (132,660 page views)
  • September 11 attacks (113,281 page views)

πŸ”Ά Hacker News Top Stories:
  • DeepSeek v4.1 Flash (832 pts, 460 comments)
  • Shopify moves back to Native from React Native (622 pts, 423 comments)
  • Rust is tier-1 language at Microsoft (551 pts, 300 comments)
  • More questions about whether researchers can trust OpenAI with unpublished math (485 pts, 515 comments)
  • Cognition launches new SWE-2 model, Rivaling Fable 5.1 and GPT-Astra (309 pts, 128 comments)
  • What algorithm did Windows XP use to choose your initial user picture? (292 pts, 145 comments)
  • List of references on Sony websites to players "owning" their digital games (271 pts, 89 comments)
  • Hitachi launches CO2 heat pump water heaters with solar-friendly tariff controls (262 pts, 208 comments)

▢️ YouTube Viral:
  • Ex-Anthropic insider tells CNN how AI could kill all humans by 2030 β€” CNN (1,549,987 views)
  • Allah Tala ke madad😭#ytshorts #news #prayer #today #trending #emotional #youtubeshorts#sho β€” Magic words (981,731 views)
  • AI researcher says there is 'substantial probability' AI could kill all humans in β€” NBC News (370,408 views)
  • 'Not 1 But 9': Iran 'Hammers' US Jets; A-10 'Loses' Wing As Warpla β€” Firstpost (323,203 views)
  • Allah Tala ke madad 😭 #ytshorts #news #prayer#today#trending #emotional#youtubeshorts#shor β€” Deen Spark (233,495 views)
  • US Army Panics, Shock Emergency Evacuation Underway On Cam? β€˜Leave This Area…’ β€” Times Of India (206,931 views)

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

⚠️ 12 low-validity models (D/F): FFIV, FICO, ICE, LUV, MET, ODFL, PAYC, SWK, SWKS, WDC, WFC, 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
🟒 18 Purchases | πŸ”΄ 32 Sales
Senate: 0 | House: 50

Most Active Tickers:
  • 🟒 Bought: HUBB Γ—4, LTH Γ—4, CHRW Γ—3, ESE Γ—3, FWONK Γ—3
  • πŸ”΄ Sold: MIDD Γ—6, LH Γ—4, CPAY Γ—3, LYV Γ—3, IBM Γ—2

Recent Notable Trades:
  • πŸ”΄ BRO sold by April McClain Delaney (D-H) β€” $100,001 - $250,000
  • πŸ”΄ BWXT sold by April McClain Delaney (D-H) β€” $100,001 - $250,000
  • πŸ”΄ CB sold by Maria Elvira Salazar (R-H) β€” $15,001 - $50,000
  • 🟒 CHRW bought by April McClain Delaney (D-H) β€” $15,001 - $50,000
  • πŸ”΄ CHRW sold by April McClain Delaney (D-H) β€” $100,001 - $250,000
  • πŸ”΄ CLH sold by April McClain Delaney (D-H) β€” $50,001 - $100,000
  • πŸ”΄ CNM sold by April McClain Delaney (D-H) β€” $100,001 - $250,000
  • πŸ”΄ CPAY sold by April McClain Delaney (D-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“‰ ↓ 70.6%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
2 BIO 100 πŸ“‰ ↓ 95.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
3 SWK 100 πŸ“‰ ↓ 86.5%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
4 FFIV 100 πŸ“ˆ ↑ 56.8%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” 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 FICO 100 πŸ“‰ ↓ 35.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
2 MET 100 πŸ“‰ ↓ 21.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
3 MSFT 100 πŸ“‰ ↓ 45.6%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
4 RCL 100 πŸ“ˆ ↑ 37.4%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
5 TRMB 100 πŸ“‰ ↓ 21.9%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
6 WDC 100 πŸ“‰ ↓ 24.1%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
7 WTW 100 πŸ“‰ ↓ 20.3%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
8 ZBRA 100 πŸ“‰ ↓ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
9 ICE 100 πŸ“‰ ↓ 30.1%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
10 JNJ 100 πŸ“‰ ↓ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 1/3
11 LUV 100 πŸ“ˆ ↑ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
12 ODFL 100 πŸ“‰ ↓ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
13 PAYC 100 πŸ“‰ ↓ 52.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
14 SWKS 100 πŸ“ˆ ↑ 29.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
15 WFC 100 πŸ“‰ ↓ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” F 1/3
16 APH 100 πŸ“‰ ↓ 20.0%
β€” β€” 0.0%
β€” β€” 0.0%
β€” β€” β€” N/A 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.
For questions or concerns, contact: dave@moneysignals.us