Ticker brief
6857.T
last close
·
1 day
·
14 days
·
mkt cap
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signals 14d
7
authors 14d
6
crowd 14d
-1.4σ
No price history on file for this name (likely non-equity or unlisted) — the “since then” column below stays blank.
Sentiment — last 14 days
daily mean sentiment, 2026-08-16 → 2026-08-26 · now -0.20 (−1 bearish … +1 bullish)
Who spoke6
| author | grade | trader score | signals | mean sent |
|---|---|---|---|---|
| @naonao19920225 | C | +0.90 | 2 | -0.43 |
| @jailhousetom | C | -0.94 | 1 | +0.25 |
| @JulienTechInvst | A | -2.41 | 1 | +0.70 |
| @gaasych | C | -0.70 | 1 | +0.25 |
| @semicon_eng1 | A | -1.38 | 1 | +0.25 |
| @LOBBSBY | C | · | 1 | +0.15 |
Recent signals7of 7 in 14d — receipts included
| date (PT) | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|
| 2026-08-26 | @naonao19920225 | -0.55 | Expects near-term Advantest selling after a MACD cross but remains long-term constructive | · | tweet ↗ |
| 2026-08-26 | @LOBBSBY | +0.15 | Recaps only an Advantest rebound and calls the session unimpressive. | · | tweet ↗ |
| 2026-08-24 | @semicon_eng1 | +0.25 | Would consider buying Advantest on further weakness for the long term due to sticky testing equipment. | · | tweet ↗ |
| 2026-08-22 | @gaasych | +0.25 | Notes Advantest gained 221% in a year while volume is only 0.68 times average after strong earnings. | · | tweet ↗ |
| 2026-08-21 | @JulienTechInvst | +0.70 | Lists past entries and subsequent price gains in Advantest, Navitas and Lumentum. | · | tweet ↗ |
| 2026-08-20 | @naonao19920225 | -0.30 | Waits for Advantest MACD to turn negative before seeking a Nikkei bottom. | · | tweet ↗ |
| 2026-08-16 | @jailhousetom | +0.25 | Place staggered buy limits on Nikkei futures. — Notes Advantest and Fujikura strength while placing staggered futures buy orders. | · | tweet ↗ |
“Since then” = price move from the close on the signal's date (PT) to the latest close — what happened after they said it, not a backtest. A — means no trading session has closed since the signal yet. Sentiment is our extracted per-tweet score, −1…+1.