Streamex Corp.

Streamex Corp.(BSGM)股票分析

$6.100

+2.262 (+37.08%)收盘时

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High
6.120
Open
4.360
VWAP
5.53
Vol
3.14M
Mkt Cap
Low
4.360
Amount
17.34M
EV/EBITDA, TTM
0.00

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.

Analyst Ratings (2)

Buy
2 Buy
0 Hold
0 Sell
Current: 6.10
最低
平均
最高

Ascendiant Capital

2025-04-21

目标价

$2.5

Strong Buy

Ascendiant Capital

2024-12-05

目标价

$2.75

Strong Buy

Ascendiant Capital

2023-02-13

目标价

$50

Strong Buy

估值指标

The current forward P/E ratio for Streamex Corp. (BSGM) is -0.79, compared to its 5-year average forward P/E of -12.70.

Forward P/E

Fair
5Y Average P/E
-12.70
Current P/E
-0.79
高估
3.54
低估
-28.95

Forward EV/EBITDA

Strongly Undervalued
5Y Average EV/EBITDA
0.00
Current EV/EBITDA
0.00
高估
0.00
低估
0.00

Forward P/S

Fair
5Y Average P/S
84.12
Current P/S
33.90
高估
177.30
低估
-9.07

Alphio AI Price Scenarios for BSGM

Scenario prices are the last monthly forecast band of the current year. Probabilities are fixed model weights (25 / 50 / 25), not guarantees.

B

Bull

Bull · 25%BSGM

$5.01

情景价格

B

Base

Base · 50%BSGM

$4.22

情景价格

B

Bear

Bear · 25%BSGM

$3.86

情景价格

BSGM FAQ — answered by Alphio AI

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.

本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。

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