ICON PLC (ICLR) — Technical state
As of 2026-10-06 — re-computed nightly across the coverage universe. Closelooknet diary readings, not advice.
Trades -3.3% vs the 50-day and +10.5% vs the 200-day average, 20.7% below the 52-week high and +142.9% off the 52-week low; a golden cross printed 52 sessions ago. Computed from daily closes.
Ranked #50 on today’s Directional Flow — Rising fastest list (scan of 2026-10-06).
The moving-average stack
- vs 20-day-3.8%
- vs 50-day-3.3%
- vs 200-day+10.5%
- 52-week band20.7% off the high · +142.9% off the low
- Streak1 consecutive down session
- CrossoverGolden cross 52 sessions ago
- 50-day crossprice crossed down through the 50-day today
- Stochastic%K 7.4 · %D 20.6 · bear cross
Continue: the ICLR chart & overview · the earnings record · the signal board
FAQ · from the current data · as of 2026-10-06
Quick answers
What is the current Closelooknet signal on ICLR?
Pullback inside an uptrend stack — Trades -3.3% vs the 50-day and +10.5% vs the 200-day average, 20.7% below the 52-week high and +142.9% off the 52-week low; a golden cross printed 52 sessions ago. Computed from daily closes. As of 2026-10-06; the signal board re-computes across the coverage universe nightly. A research diary reading, not advice.
Is ICLR above its 50-day and 200-day moving averages?
As of 2026-10-06, ICON PLC trades -3.3% below its 50-day and +10.5% above its 200-day average, with the 20-day -3.8% away.
How far is ICLR from its 52-week high?
20.7% below the 52-week high and 142.9% above the 52-week low, as of 2026-10-06.
Mentioned on Closelooknet
Where ICLR appears in the diary — 2 pieces, newest first. Every link is our own writing.
Go deeper
Long reads
- Google and RSI — The Loop Nobody Has Closed
The International AI Safety Report 2026 devotes a section to it, and ICLR 2026 ran a workshop with recursive self-improvement in the title.
Dailies
- The Opex Handover — Why the AI Trade Is Rotating, Not Rolling Over
Google's KV-cache compression (ICLR 2026) cuts inference memory roughly 6× and speeds attention up to 8× on H100-class hardware — software-only, training-free, with no measurable accuracy loss.
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