Quantitative analysis for LG Display Co., Ltd. (LPL) — Information Technology: AI-powered alpha score, Benjamin Graham intrinsic value, ML-based forecast, technical and fundamental signals, and insider activity.
Current Q-Score verdict: Sell (33.0) (grade D). 29 signals analyzed (25 differentiated alt-data).
LPL stock price is tracked daily for technical and fundamental analysis. The data below shows recent trading activity used in trend analysis, momentum calculation, and entry/exit signals.
| Date | High | Low | Close |
|---|---|---|---|
| 2026-04-29 | $4.23 | $4.11 | $4.12 |
| 2026-05-11 | $4.45 | $4.34 | $4.37 |
| 2026-05-21 | $4.99 | $4.79 | $4.94 |
| 2026-06-03 | $5.83 | $5.67 | $5.76 |
| 2026-06-15 | $4.89 | $4.67 | $4.73 |
| 2026-06-26 | $3.86 | $3.76 | $3.84 |
| 2026-07-09 | $3.74 | $3.62 | $3.68 |
| 2026-07-21 | $3.32 | $3.22 | $3.26 |
| 2026-07-31 | $3.15 | $2.96 | $3.00 |
| 2026-08-12 | $3.53 | $3.39 | $3.46 |
| 2026-08-24 | $3.34 | $3.26 | $3.29 |
| 2026-09-03 | $3.27 | $3.18 | $3.25 |
How LG Display Co., Ltd. stacks up against same-sector peers on market capitalization and alpha scores:
| Ticker | Company | Market Cap | Alpha Score |
|---|---|---|---|
| KVYO | Klaviyo, Inc. | $4.5B | — |
| KC | Kingsoft Cloud Holdings Limited | $4.2B | — |
| ONDS | Ondas Holdings Inc. | $4.6B | — |
| MNDY | monday.com Ltd. | $4.1B | — |
View all Information Technology stocks by valuation and signals →
LG Display Co., Ltd. (LPL) scores Sell (33.0), with every measured dimension at or below 32. The weakest are analyst consensus at 32, technicals at 14, across 2 measured dimensions. See Q-Score methodology for how these dimensions are weighted and combined.
| Dimension | Score |
|---|---|
| analyst consensus | 32 |
| technicals | 14 |
StoQuant analyzes 29 signals (25 alt-data). Alternative data sources (FDA approvals, GitHub activity, SEC filings, App Store ratings) complement traditional financial metrics.
All StoQuant signals are explained in our knowledge base:
Information Technology Hub — Top performers and valuation outliers in Information Technology
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