Bull
$5.01
Scenario price
$6.100
+2.262 (+37.08%)At close
Streamex Corp., formerly BioSig Technologies, Inc., is a real world asset (RWA) tokenization company. The Company with institutional grade infrastructure brings the gold and commodities market on chain, enabled by a gold denominated treasury and tokenization technology powering the modern commodities market. The Company is a wholly owned subsidiary of BioSig Technologies, Inc.
Ascendiant Capital
$2.5
2025-04-21
Ascendiant Capital
2025-04-21
Price Target
$2.5
Ascendiant Capital
$2.75
2024-12-05
Ascendiant Capital
2024-12-05
Price Target
$2.75
Ascendiant Capital
$50
2023-02-13
Ascendiant Capital
2023-02-13
Price Target
$50
Scenario prices are the last monthly forecast band of the current year. Probabilities are fixed model weights (25 / 50 / 25), not guarantees.

Streamex Corp. (NASDAQ: STEX) and Simplify Asset Management, with $10 billion in AUM, Announce Intent to Form Strategic Partnership for ETF Innovation by Integrating Tokenized Gold Yield Assets and Tokenizing Current ETFs

Stocks of MODD, GALT, XCUR, PEPG, and BSGM Surge in After-Hours Trading Following Clinical Developments and Strategic Actions

BioSig Technologies, Inc. Unveils New Corporate Identity as Streamex Corp.

Monetary Metals Enters into Exclusive Partnership with Streamex (Nasdaq: BSGM) to Create Tokenized Yield-Bearing Gold Products

BioSig Technologies, Inc. & Streamex Announce Closing of $15 Million Public Offering
Streamex Corp., formerly BioSig Technologies, Inc., is a real world asset (RWA) tokenization company. The Company with institutional grade infrastructure brings the gold and commodities market on chain, enabled by a gold denominated treasury and tokenization technology powering the modern commodities market. The Company is a wholly owned subsidiary of BioSig Technologies, Inc. It operates in the Financials sector (ELECTROMEDICAL AND ELECTROTHERAPEUTIC APPARATUS industry).
2 analysts cover BSGM: 2 rate it Buy, 0 Hold and 0 Sell.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.