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TokensOPEN/USDT
Day range: 0.08932—0.09581
OPEN
Analysis context

OPEN USDT

OpenLedger

Current price 0.0941 4.18% ↑
Summary by 4h OPEN · price below EMA26 by 2.51% · RSI 43
Now SHORT bias
OPEN forecast
Price 0.1194 4h · SHORT bias
EMA 26 / 50 0.1224 / 0.1258 price below EMA26 by 2.51%
Structure EMA200 0.1335 below EMA200 · EMA26 falling 0.63%
Bollinger 0.111 - 0.13 working range
RSI / ATR RSI 43 volatility 3.43%
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Market wave
Market:
Tokens up —
EMA up —
Sample —
What matters now

Short summary for OPEN

Scenario, levels and timeframe alignment.

All signals
0
Signal bias SHORT bias

Buy 0% · Sell 100%

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

Dominant share 100%

Timeframe alignment

4 of 4 TF support SHORT

15m SHORT
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 OPEN signal statistics
Only closed signals, without guessing real user entries.
Closed-trade history History is building

OPEN 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
OPEN has no closed trades in local statistics yet. You can view the public feed on the signals page.
Quick take on OPEN
Scenario, balance and statistics without extra technical noise.
SHORT

OPEN currently shows more pressure toward SHORT. Main reference: 4h, current scenario: "SHORT exists, but the low is poor to chase".

Signal balance: buyers 0%, neutral 0%, sellers 100%. The current bias is on the seller side, so LONG without confirmation remains risky. Timeframes: 4 of 4 TF support SHORT.

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

Reference: 4h Scenario: SHORT Buy 0% / Sell 100% History building
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About OPEN

OpenLedger is the AI blockchain, unlocking liquidity to monetize data, models, apps and agents. It enables the training, deployment and on-chain tracking of specialized AI models and data, solving critical challenges around transparency, attribution and verifiability in AI.

At the core, we’re addressing the $500B data problem, where high-value datasets remain siloed and uncompensated. OpenLedger changes this by embedding native attribution, verifiable provenance, and programmable incentives directly. Built on this foundation, we provide the infrastructure to scale intelligent systems with traceable data influence and provable outcomes and advancing AI from opaque and centralized to open, auditable and decentralized.