AFRM (AFRM)

Secondary decision view: valuation · portfolio context · the data you need before acting on a single-source signal.
Neutral rule-based

AFRM has no clear signal.

Verdict bucket from deterministic rule (validation / floor distance / risk alerts). LLM narration only — never picks the bucket.

BUY-ZONE DECISION rule signal

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RULES & ALERTS FIRING

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VALUATION

Valuation data not yet available for this ticker. Try again in a few minutes.

Floor Engine

Alt Method USD 80.70 Confidence low
BOOK VALUE ★ medium ⓘ
USD 11.38
Book-value floor (financials; profitable banks shouldn't trade below book long-term)
Bank/insurance — historical P/B re-rated; fallback to book-value floor
STRESS DRAWDOWN medium ⓘ
USD 6.16
Stress floor: if last 5y max drawdown repeats from current price (re-rating-immune)

YOUR WATCHLIST CONTEXT

○ anonymous
What you'll see after sign-in
Your floor
$XXX.XX
Your golden
$XXX.XX
Market
XXX

· Your personal floor / golden price overlay on the live price

· Per-ticker rule alerts when this stock crosses your thresholds

· Position P&L overlay — what this ticker means inside your full portfolio

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IMPLIED VOLATILITY

CURRENT IV 53.6% HV (30D) 53.6% IV RANK (1Y) 23 LOW
IV vs HV · last 1 year

Earnings Reactions

AFRM
8 earnings events · last 2 years
Avg Gap%
+5.05%
Avg Day%
+2.02%
Up Hit Rate
75%
Next Earnings · est.
2026-11-05
in 24d
24-11
25-02
25-05
25-08
25-11
26-02
26-05
26-08
Bar height = |Gap%| normalized to the period max. Green = up, red = down.
Date Time EPS Surprise Gap% Day% Week%
2026-08-27 AMC 4.97 — +10.98% +0.35% -6.63%
2026-05-07 AMC 0.62 -15.0% +1.48% -4.97% -2.29%
2026-02-05 AMC 0.72 -13.9% +2.11% -4.02% -16.17%
2025-11-06 AMC 0.61 -1.3% +5.99% +11.61% +6.90%
2025-08-28 AMC 0.53 +22.5% +15.01% +10.59% +7.36%
2025-05-08 AMC 0.19 -51.8% -6.93% -14.47% -3.11%
2025-02-06 AMC 0.76 +75.2% +13.20% +21.81% +30.67%
2024-11-07 AMC 0.36 +113.1% -1.41% -4.73% +15.09%

Is AFRM (AFRM) overvalued right now?

Whether AFRM (AFRM) is overvalued depends on the lens you use: trailing P/E vs its own history, CAPE vs the broader market, earnings yield vs Treasury yields. We surface all three so you don't have to pick one in isolation.

AFRM (AFRM) — what's the SELL PUT risk profile?

Selling cash-secured puts on AFRM (AFRM) is a common income strategy, but the right strike depends on your floor price (the level you'd happily own at) and the option chain's buffer/APY tradeoff. The full ladder view (deferred to a future release) ranks candidates by buffer percentage first, then APY — see the option ladder methodology for why buffer matters more than yield in this strategy.

AFRM (AFRM) — which option strategy fits your view?

If you're bullish long-term but cautious near-term on AFRM (AFRM), SELL PUT into your floor zone collects premium while waiting for a better entry. If you already own it and are neutral-to-mildly-bullish, COVERED CALL caps upside but harvests time decay. The wrong strategy on the right ticker still loses money — match the trade to your view, not the other way around.

AFRM (AFRM) — is now a good entry?

Entry timing on AFRM (AFRM) is a function of your floor price (hard buy zone) and golden price (back-the-truck-up zone). Both are personal — set them in your watchlist and we'll alert you when the market hits either level.

FAQ

Why does AFRM show different P/E numbers on different sites?

Different data providers use different earnings windows (TTM vs forward, GAAP vs adjusted) and update at different cadences. We surface trailing P/E with a 5-year percentile rank to give context — a P/E of 30 is hot for one stock and cold for another.

Does this page show AFRM's implied volatility?

Not on this v0 page — the dedicated volatility tool covers IV with multi-source voting (IBKR + Polygon + yfinance). For pure IV lookup, use /tools/volatility. This page is for decision-stage queries that pull together valuation + portfolio context.

How is this different from Yahoo Finance or 雪球's AFRM page?

Those sites are great for raw data discovery — last price, news, headline P/E. This page is built for the second look: you've already seen a single-dimension signal somewhere else, now you need multi-dimensional decision context (your floor, the valuation percentile, your portfolio overlay) in one view, not five tabs.