Model output · not financial advice

Market desk

Stock Overview

The stocks I keep an eye on, refreshed every trading day: what moved, what the news says, what the filings say they're worth, and where a simple model thinks the price goes next.

Last refreshed Nov 13, 22:23 UTC · 8 stocks

AAPL$354.88−0.21%

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Watchlist

Pick a stock to look at it in detail below

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Overview

Price history with the next sessions' forecast drawn on

Last close

$354.88

−0.21% on the day · +30.0% over a year

52-week range

96%

$243.42$359.37

P/E (trailing)

39.5×

Market cap $5.16T

Volatility

26%

Annualised · a typical day moves ±1.7%

Price

+18.2% since May 15, 2026

CloseForecast, 80% range
250300350400May 15Jul 1Aug 14Sep 29

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Fair value

What the company's cash flow, earnings and book value say a share is worth

Blended fair value

$140.33

−60.5% vs the last close of $354.88

Overvalued
Price $354.88
Fair $140.33

Discounted cash flow

60% weight

$152.99

−56.9% vs price

Free cash flow $119.9B, growing 5.5% a year, fading to 2.5%, discounted at 9%

Graham growth formula

30% weight

$148.62

−58.1% vs price

EPS $8.98 × (8.5 + 2 × 5.5% growth), scaled to a 5.2% bond yield

Graham number

10% weight

$39.48

−88.9% vs price

√(22.5 × EPS $8.98 × book value $7.71 per share), a conservative floor

EPS (trailing)
$8.98
Book value / share
$7.71
Revenue growth
+5.5% / yr
FCF yield
+2.6%

From SEC filings up to 2026-09-26 · market cap $5.16T. Growth used in the models is capped at +5.5%.

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Forecast

Next-session prediction, updated daily, with a running score of how it has done

Next session

$355.17

+0.08% · 52% chance it closes higher

In a month

$325.67 – $395.77

80% range by Fri, Dec 11, centred on $359.02

Track record

38%

Direction right in 8 scored forecasts · 63% landed in range

Next 5 sessions, from the Thu, Nov 12 close of $354.88
SessionForecastChange80% rangeP(higher)
Fri, Nov 13$355.17+0.08%$347.69 – $362.8052%
Mon, Nov 16$355.40+0.15%$344.87 – $366.2552%
Tue, Nov 17$355.61+0.21%$342.75 – $368.9653%
Wed, Nov 18$355.81+0.26%$341.00 – $371.2753%
Thu, Nov 19$356.01+0.32%$339.47 – $373.3553%
Recent next-session forecasts vs what happened
Made afterForecastActualDirectionIn range
Thu, Nov 12$355.17pending
Wed, Nov 11$356.23$354.88✗✓
Tue, Nov 10$348.67$355.63✓✓
Mon, Nov 9$351.05$348.51✗✓
Fri, Nov 6$342.87$350.69✓✗
Thu, Nov 5$344.65$342.37✗✓
Wed, Nov 4$350.29$344.17✗✓
Tue, Nov 3$332.12$349.51✓✗
Mon, Nov 2$338.37$331.90✗✗

Last close $354.88 on Thu, Nov 12. Forecasts are a statistical model's output, refreshed every weekday after the US close. They are not financial advice.

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News

The week's headlines, gathered from several sources and scored for mood

Headline mood

Neutral

12 headlines from Google News search, Finviz, Finnhub. Newer ones count more.

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How it works

Where the numbers come from

Data

Every weekday after the US close a scheduled job pulls about two years of daily prices (Yahoo Finance, with Stooq as backup), each company's latest SEC filings, and the week's headlines from a Google News search, Yahoo Finance's feed and Finviz's news table.

Fair value

A ten-year discounted cash flow on free cash flow (9% discount rate, 2.5% terminal growth), Graham's growth formula on trailing earnings, and the Graham number as a conservative floor, blended 60 / 30 / 10. Growth comes from the last five years of revenue, capped at 20%.

Forecast

A ridge regression on the last year of daily returns, momentum, distance from the 20-day average and RSI predicts the next session's move, nudged slightly by headline mood. Later sessions fade back to the long-run drift. The shaded range is where 80% of outcomes would land if returns behaved like the recent volatility says.

Track record

Each day's next-session forecast is saved and scored against the close that follows, so the page keeps an honest record of how often the model gets the direction right. Expect roughly a coin flip: markets are hard to predict, and that is the point of showing it.

Not financial advice. Fair values and forecasts are the output of simple statistical models run on public data; they are often wrong and should not be the basis for any investment decision. Prices may be delayed.