Ticker brief

TRUMP

last close
·
1 day
·
14 days
·
mkt cap
·
signals 14d
10
authors 14d
5
crowd 14d
+1.9σ

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, 2026-10-06 → 2026-10-15 · now +0.45 (−1 bearish … +1 bullish)
Who spoke5
authorgradetrader scoresignalsmean sent
@CryptoPatelC-0.013+0.82
@BFBC+0.053+0.18
@GetPursaC+0.102-0.43
@BaldwinDunas·-0.541+0.50
@AshCryptoC-0.511-0.75
Recent signals10of 10 in 14d — receipts included
date (PT)authorsentwhat they saidsince thenreceipt
2026-10-15@CryptoPatel+0.80DCA small quantities of TRUMP around $1.80-$1.46, targeting $5-$45. — Explicitly discloses gradual buying with entry range, targets and stop.·
2026-10-15@BFB+0.40Presents a conditional upside target of $5.41 if TRUMP breaks above a symmetrical triangle.·
2026-10-15@BFB+0.15Lists six identifiable tokens among the top seven trending assets.·
2026-10-11@GetPursa-0.85A $10,000 peak investment is now worth $243 after a 97% drawdown.·
2026-10-11@AshCrypto-0.75Reports that a peak investment would have lost 97%, falling from $10,000 to $243.·
2026-10-09@BFB+0.00Lists seven trending crypto assets without an expressed direction.·
2026-10-09@CryptoPatel+0.85Accumulating TRUMP at $1.77-$1.47 for a potential 5x-10x reversal — Explicit accumulation zone, stop and bullish return target·
2026-10-08@GetPursa+0.00Reports Trump's statement that Iran will not be attacked before the midterm elections.·
2026-10-08@BaldwinDunas+0.50Added small mid-term TRUMP and ASTER positions. — Discloses new small mid-term additions to TRUMP and ASTER.·
2026-10-06@CryptoPatel+0.80Accumulate TRUMP at $2.00-$1.50 while the $1.36 macro low holds — Explicitly shifts from selling rallies to accumulating a defined bullish setup·

“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.