TokensBLEND/USDT
Day range: 0.04832—0.0516
BLEND
Analysis context

BLEND USDT

Fluent Network

Current price 0.05057 1.55% ↓
Summary by 4h BLEND · price below EMA26 by 2.17% · RSI 40
Now SHORT bias
BLEND forecast
Price 0.06552 4h · SHORT bias
EMA 26 / 50 0.06697 / 0.06725 price below EMA26 by 2.17%
Structure EMA200 0.06613 below EMA200 · EMA26 falling 0.8%
Bollinger 0.06535 - 0.06892 working range
RSI / ATR RSI 40 volatility 1.79%
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Market wave
Market:
Tokens up —
EMA up —
Sample —
What matters now

Short summary for BLEND

Scenario, levels and timeframe alignment.

13
Signal bias SHORT bias

Buy 0% · Sell 75%

Context
Higher TF SHORT
Lower TF mixed
Risk low
Clarity Strong picture

Dominant share 75%

Timeframe alignment

3 of 4 TF support SHORT

15m Neutral
1h SHORT
4h SHORT
1d SHORT

SHORT prevails on the 4h and 1d timeframes, while the 15m and 1h timeframes more often point lower. Shorter and longer timeframes are aligned, making market structure noticeably clearer.

Our BLEND signal statistics
Only closed signals, without guessing real user entries.
Closed-trade history History is building

BLEND does not have enough closed trades for local statistics yet, but signals and the public feed are already available.

FeedSignals are live
StatisticsWill appear after closures
BLEND has no closed trades in local statistics yet. You can view the public feed on the signals page.
Quick take on BLEND
Scenario, balance and statistics without extra technical noise.
SHORT

BLEND is better approached with patience right now. Main reference: 4h, current scenario: "SHORT is late: do not chase the low".

Signal balance: buyers 0%, neutral 25%, sellers 75%. The current bias is on the seller side, so LONG without confirmation remains risky. Timeframes: 3 of 4 TF support SHORT.

BLEND trade history is still building, so current structure matters most now: scenario, signal balance and chart levels.

Reference: 4h Scenario: SHORT Buy 0% / Sell 75% History building
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About BLEND

Fluent is the blockchain for reputation-based apps that depend on long-term user behavior and contribution quality. Using Prints, Fluent’s reputation data layer, developers can integrate verifiable, cross-context reputation scores built from onchain activity, social signals, and contribution history directly into their apps.

This enables features such as trust-gated access, believability-weighted governance, dynamic incentives that reward quality over volume, and more.