Broadcom Inc
AVGO
Broadcom Inc. is an American designer, developer, manufacturer and global supplier of a wide range of semiconductor and infrastructure software products. Broadcom's product offerings serve the data center, networking, software, broadband, wireless, and storage and industrial markets.
How the rating is built — each factor's weight × signal contributes to the composite; the contributions sum to the overall score. A factor with no data counts as neutral, so it neither helps nor hurts.
Fair Value
weight 0.3
How far today's price sits from the model's 6-month fair value estimate, ranked against companies of similar size.
+11.8% vs fair value (82nd pct of mega caps)
+22.5
Seasonal Forecast · 90d
weight 0.2
The seasonal price model projected 90 days out, as an expected return. It reads this stock's own price history and repeating calendar cycles — not company news, earnings, or business quality. Same model as the 30-day factor below, read at a longer horizon.
+57.5% expected
+23.5
Chart Signal
informational · no weight
A machine-learning classifier reading momentum and trend structure across daily and weekly price bars. Needs about 5 years of trading history. Shown for information only: it reads roughly five days ahead, shorter than the score's horizon, so it carries no weight in the AI Score.
+0.12
+0.0
Fundamentals
weight 0.12
Reported results, not projections: revenue growth, operating margin, and free cash flow measured against market value. Loss-making or cash-burning companies score negative here.
revenue +23%, margin 49%, FCF yield +1.9%
+10.2
P/E vs History
weight 0.08
Today's price-to-earnings against this company's own trailing average, in standard deviations. Needs positive earnings.
P/E 44.8 vs 20.1 avg (+2.0σ)
-9.4
Analyst Consensus
weight 0.08
Wall Street consensus ratings, weighted by conviction.
consensus
+9.4
Seasonal Forecast · 30d
weight 0.04
The same seasonal price model as the 90-day factor above, read 30 days out. A near-term and a medium-term view of one forecast, which is why they can disagree.
+46.9% 30d
+4.7
Volatility
weight 0.03
An annualized volatility penalty. High volatility lowers the score; low volatility never raises it.
0.38 ann.
-0.3
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Cyclical regression model price trajectory and target range, updated each trading day.
Seasonality
Historical seasonal patterns across monthly and weekly windows to contextualize current timing.
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What this is (and isn’t)
These outputs are generated by machine learning models trained on historical price, fundamental, and volume data. The models summarize historical data and current model outputs — they do not predict the future or constitute personalized investment advice. All figures are updated on a regular cadence and reflect the most recent available data at time of generation.
ŷRobot provides research and information, not personalized financial advice. Past performance is not a guarantee of future results.