🤠 Is the market sending a clear signal, or are we hearing more noise than news?

In this episode of Trail Boss Bull Weekly, we put FG through four ARDL statistical model runs, examining inflation (CPI), the Federal Funds Rate, the 10-Year Treasury Yield, and WTI crude oil.

With FG closing at $19.57 for the week ending October 16, 2026, the four models produced different forecasts:

• CPI inflation: $19.61 — projected price gain of 0.20%, with a reported total-return estimate of 0.30%.

• Federal Funds Rate: $20.05 — projected price gain of 2.43%, with a reported total-return estimate of 2.53%.

• 10-Year Treasury Yield: $19.52 — projected price decline of 0.25%, with a reported total-return estimate of -0.15%.

• WTI crude oil: $19.72 — projected price gain of 0.75%, with a reported total-return estimate of 0.85%.

So, what do these four readings tell us?

The Federal Funds Rate model produced the strongest bullish forecast, while the 10-Year Treasury Yield model was the only one projecting a negative total return after the estimated dividend contribution. The crude oil model showed little measurable short-run influence from oil prices, making its forecast primarily a reflection of the model’s price-trend component.

But there’s an important warning in the numbers: all four models reported high persistence readings, ranging from 0.902 to 0.971. The reports flag these readings as a reason not to rely on long-run estimates. In this episode, we focus on the short-run forecasts and explore why the same stock can produce very different results depending on the factor being tested.

We also examine FG’s reported dividend information: approximately $1.00 per share over the previous 12 months, with a reported annual yield of about 5.11%. The model adds an estimated weekly dividend contribution of approximately 0.098% to its total-return calculations. Actual dividend payments and timing can differ, and dividend income does not guarantee a positive overall return.

This is a practical lesson in AI-assisted investing research. We’re not treating model outputs as promises or assuming that a statistical relationship proves cause and effect. We’re comparing signals, questioning assumptions, and learning to separate a useful research tool from market noise.

Study the data. Question the assumptions. Walk your own trail.

🐎 Explore the Unbridled Nation ecosystem:

🌐 Unbridled Nation — Side-hustles, community service, and second-act opportunities: https://unbridlednation.com/

🎓 Unbridled Tech Academy — Learn practical digital skills and explore the tools of the new economy: https://unbridledtechacademy.com/

📈 iRoth4U — Explore our investing and Roth IRA learning journey: https://iroth4u.com/

Helping First. Building Second. — The Trail Boss

Disclaimer: This podcast is for educational and entertainment purposes only. It is not financial, investment, tax, or legal advice. Statistical models use historical data and assumptions and may produce inaccurate forecasts. Model estimates are not guarantees of future performance, and observed relationships do not establish causation. Investing involves risk, including the possible loss of principal. Dividend payments and yields can change. Always conduct your own research and consult a qualified professional when appropriate.

🤠 What happens when the long-term outlook looks promising, but every short-term forecast points downhill?

In this episode of Trail Boss Bull Run Weekly, we put Mohawk Industries (MHK) through four ARDL statistical model runs, examining inflation (CPI), the Federal Funds Rate, the 10-Year Treasury Yield, and WTI crude oil.

With MHK closing at $120.29 for the week ending October 16, 2026, all four models projected a lower price for the following week:

• CPI inflation: $119.83 — down 0.38%.

• Federal Funds Rate: $119.64 — down 0.54%.

• 10-Year Treasury Yield: $119.07 — down 1.01%.

• WTI crude oil: $120.19 — down 0.09%.

Yet the longer-run estimates tell a more complicated story. The CPI and crude oil models show modest positive relationships, while the 10-Year Treasury Yield model produces a much larger positive long-run estimate. The Federal Funds Rate model, on the other hand, produces a negative long-run estimate.

That’s the Tailwind Paradox: how can a model show a potential long-term tailwind while still forecasting a short-term decline?

We explore the difference between short-run price movements and estimated long-run relationships, compare the four model outputs, and ask what these conflicting signals can teach us about market analysis.

We also discuss an important limitation: a model’s estimated relationship is not proof of cause and effect, and a positive long-run coefficient does not guarantee future gains. Even when persistence readings appear more moderate, the reliability of the results depends on the model’s assumptions, data quality, and statistical testing.

According to the market dividend information in these reports, MHK pays no dividend, so this analysis focuses on projected price movement rather than dividend income.

This is what the Trail Boss Bull Weekly is all about: using AI-assisted research and statistical models to investigate the market, challenge assumptions, and learn from real experiments instead of chasing every headline.

Study the data. Question the assumptions. Keep your eyes on the trail.

🐎 Explore the Unbridled Nation ecosystem:

🌐 Unbridled Nation — Discover side-hustles, community service, and second-act opportunities: https://unbridlednation.com/

🎓 Unbridled Tech Academy — Learn practical digital skills and explore the tools of the new economy: https://unbridledtechacademy.com/

📈 iRoth4U — Explore our investing and Roth IRA learning journey: https://iroth4u.com/

Helping First. Building Second. — The Trail Boss

Disclaimer: This podcast is for educational and entertainment purposes only. It is not financial, investment, tax, or legal advice. Statistical models rely on historical data and assumptions, and their forecasts and estimated relationships may be inaccurate. No forecast guarantees future performance. Investing involves risk, including the possible loss of principal. Always conduct your own research and consult a qualified professional when appropriate.

🤠 Can a stock forecast tell us where the market is headed—or are we just listening to the noise?

In this episode of Trail Boss Bull Run Weekly, we put INVA through four separate ARDL statistical model runs, examining inflation (CPI), the Federal Funds Rate, the 10-Year Treasury Yield, and WTI crude oil.

With INVA closing at $20.78 for the week ending October 16, 2026, our models delivered four different readings:

• CPI inflation: $20.71 forecast — down 0.35%.

• Federal Funds Rate: $20.89 forecast — up 0.55%.

• 10-Year Treasury Yield: $20.73 forecast — down 0.22%.

• WTI crude oil: $20.83 forecast — up 0.22%.

That gives us two bullish forecasts and two bearish forecasts. The projected prices fall within a narrow range, but the models tell different stories about what may be influencing the stock.

We explore why the Federal Funds Rate model produced the strongest projected move, why the CPI and Treasury yield models carried warnings about high price persistence, and why the crude oil model showed little measurable short-run influence.

Most importantly, we discuss the difference between a statistical signal and a reliable prediction. High persistence can make it difficult to separate a continuing price trend from something that resembles a random walk. Even when a model produces a long-run estimate, that number deserves scrutiny rather than blind trust.

INVA pays no dividend according to the market dividend information in these reports, so the forecasts focus on potential price movement alone.

This is the Trail Boss approach to AI-assisted investing research: run the experiment, compare the results, question the assumptions, and learn from what the numbers can—and cannot—tell us.

We’re not trying to predict every bump in the trail. We’re learning how to read the trail before we ride it.

🐎 Explore the Unbridled Nation ecosystem:

🌐 Unbridled Nation — Explore side-hustles, community service, and second-act opportunities: https://unbridlednation.com/

🎓 Unbridled Tech Academy — Learn practical digital skills and explore the tools of the new economy: https://unbridledtechacademy.com/

📈 iRoth4U — Explore our investing and Roth IRA learning journey: https://iroth4u.com/

Helping First. Building Second. — The Trail Boss

Disclaimer: This podcast is for educational and entertainment purposes only. It is not financial, investment, tax, or legal advice. Statistical models use historical data and assumptions and may be inaccurate; forecasts are not guarantees of future performance. Investing involves risk, including the possible loss of principal. Always do your own research and consult a qualified professional when appropriate.

🤠 One stock. Four economic indicators. Four different forecasts. What’s going on here, Trail Boss?

In this episode of Trail Boss Bull Run Weekly, we put Hub Group (HUBG) through four separate statistical model runs to explore how inflation, the Federal Funds Rate, the 10-Year Treasury Yield, and WTI crude oil relate to its projected weekly price movement.

With HUBG closing at $26.43 on October 16, 2026, our models produced three bullish forecasts and one bearish forecast. Projected price targets ranged from $26.06 to $27.24.

So why does the same stock get different answers?

We compare the four forecasts, examine why the Federal Funds Rate model projected the strongest gain, and look at why the 10-Year Treasury Yield model pointed in the opposite direction. We also review HUBG’s reported dividend and explain why a projected return is not the same as a guaranteed result.

One important lesson stands out: all four models showed high price persistence. That means recent price behavior plays a major role in these estimates, and the reports caution against relying on their long-term projections. These statistical relationships are signals to investigate—not proof that an economic indicator caused a stock’s movement.

This is more than a stock report. It’s a real-world experiment in using AI-assisted research and statistical modeling to ask better questions, compare competing signals, and learn without getting caught up in every passing headline.

The Trail Boss approach is simple: Study the data. Question the assumptions. Learn from the experiment. Walk your own trail.

🐎 Explore the larger mission:

🌐 Unbridled Nation — Side-hustles, community service, and second-act opportunities: https://unbridlednation.com/

🎓 Unbridled Tech Academy — Learn practical digital skills and become a digital toolmaker: https://unbridledtechacademy.com/

🚐 iLyft4U — Real-world experiments, practical opportunities, and lessons from the road: https://ilyft4u.com/

Helping First. Building Second. — The Trail Boss

Disclaimer: This podcast is for educational and entertainment purposes only. It is not financial, investment, tax, or legal advice. Statistical forecasts are estimates based on assumptions and historical data; they are not guarantees of future performance. Investing involves risk, including the possible loss of principal. Always conduct your own research and make decisions based on your individual circumstances.

Reverse Engineering Retirement at Age 59½

What if you picked your Freedom Date first and worked backward from it? This episode walks through the iRoth4U model in plain English: start with the life you want at 59½, turn that vision into a number, and map the working years that get you there. We cover how a Roth IRA fits, including the age 59½ and five-year rules for tax-free earnings, plus the bridge years before Social Security and the Medicare surcharge that surprises many retirees. It’s a free, plain-English guide for anyone who wants a clear horizon instead of a vague “someday.”

Still Ridin’. Still Buildin’.

Ride With the Unbridled Nation Ecosystem 🌐 Unbridled Nation, the home ranch: https://unbridlednation.com 🎯 iRoth4U, reverse-engineer your retirement from 59½: https://iroth4u.com 🚗 iLyft4U, our side-hustle and opportunity laboratory: https://ilyft4u.com 🎓 Unbridled Tech Academy, learn the digital tools: https://unbridledtechacademy.com 📻 Trail Boss Radio, follow the conversations: https://unbridlednation.com/trail-boss-radio 📈 Free Scout tools, check your research: https://unbridlednation.com/investing/scouts

Disclaimer: This podcast is for education and entertainment only. It is not financial, investment, tax, legal, or retirement advice, and nothing here is a recommendation to buy or sell any security or product. Tax rules and contribution limits change, so confirm current rules with the IRS or a qualified professional before you act. Investing involves risk, including loss of money, and a Freedom Date is a planning target, not a guaranteed outcome. Episode audio is AI-generated from source material prepared by the host, and the views expressed are the host’s own. Mentors, authors, and companies mentioned have not endorsed Unbridled Nation. Trail Boss Radio is not affiliated with any broadcast radio station.

🤠 Trail Boss Bull Weekly | Sunday, October 18, 2026

Is LKQ Corporation building a bullish trail, or is market momentum making the picture look clearer than it really is?

In this episode of Trail Boss Bull Weekly, we put LKQ through four ARDL(2,2) model runs, testing its historical price behavior against inflation (CPI), the Federal Funds Rate, the 10-Year Treasury Yield, and WTI crude oil.

LKQ closed the week at $22.23. The results tell four different stories—and show why a disciplined investor should look beyond a single forecast.

🐎 Here's what we uncover:

• Inflation (CPI): The model projects a slight price decline of 0.03%. Adding the estimated weekly dividend contribution produces a slightly positive total-return read of approximately +0.07%.

• Federal Funds Rate: This run forecasts a price of $22.41, representing a projected price increase of 0.81% and a total-return read of approximately +0.91%.

• 10-Year Treasury Yield: This model produces the strongest bullish projection, forecasting $22.52, or +1.30% in price, with an estimated total-return read of +1.40%.

• WTI Crude Oil: This is the only bearish run, forecasting $22.09, or -0.64% in price and approximately -0.54% after the estimated dividend contribution.

• The persistence warning: All four models report persistence readings above 0.94. That makes long-run estimates questionable and puts the focus on short-term model results rather than claims about a dependable long-term relationship.

The supplied market-data report lists LKQ's dividend at approximately $1.20 per share over the previous 12 months, with an annual yield of roughly 5.4%. The model estimates a weekly dividend contribution of about 0.104%.

That estimated income changes the CPI scenario from a slightly negative price forecast to a slightly positive total-return read. In the WTI scenario, however, the projected price decline is too large for the dividend contribution to offset.

Remember: a quoted yield and modeled weekly income are estimates, not guaranteed returns. Actual results depend on realized price movements, distributions, and timing.

Three model runs produce positive projected total returns. One produces a negative result. The Federal Funds Rate has the largest positive short-run coefficient in these reports, while CPI and WTI have coefficients close to zero.

But these are statistical relationships—not proof that any one economic factor caused LKQ's price behavior. With persistence readings so high, the bigger lesson is to question the apparent signal before trusting the forecast.

The ARDL Bull Weekly is our investing practice range: a way to compare scenarios, examine assumptions, and learn to separate short-term market noise from evidence that may support a longer-term view.

The Trail Boss takeaway: Don't chase the strongest forecast just because it looks good on paper. Study the numbers, understand the risks, and walk your own trail.

Helping First. Building Second. — The Trail Boss

Unbridled Nation — Explore side-hustles, community service, and second-act opportunities. https://unbridlednation.com/

Unbridled Tech Academy — Learn practical digital skills and explore how AI and technology can help you build. https://unbridledtechacademy.com/

iRoth4U — Continue exploring our investing education and research journey. https://iroth4u.com/

This podcast is for educational and entertainment purposes only. It is not financial, investment, tax, or legal advice, nor is it a recommendation to buy, sell, or hold any security.

The ARDL(2,2) model uses historical data, statistical methods, and assumptions to estimate possible price behavior. Forecasts, coefficients, and persistence readings are not guarantees of future performance and do not establish that a macroeconomic factor causes a stock's movements. Model estimates may be inaccurate, and past performance does not guarantee future results.

Dividend yields and payments can change, and dividends are not guaranteed. Investing involves risk, including the possible loss of principal. Conduct your own research and consider consulting a qualified financial professional before making investment decisions.

Walk your own trail—not all snakes have rattlers.