Holding $OPG now unlocks enhanced access on BitQuant. With 1,000+ $OPG in your Base wallet, you unlock: - Daily message limit increased from 20 → 100 - Reduced trading fees This is an early step toward tying product functionality directly to onchain participation. As the OpenGradient network expands, $OPG will continue to power access, coordination, and usage across applications built on verifiable AI infrastructure. More integrations, more utility, and deeper alignment ahead.

Big thanks @FourPillarsFP for the must-read on @OpenGradient and truly open AI infrastructure. Proud that BitQuant, our open-source DeFi agent, serves as the real-world proof-of-concept for @OpenGradient’s full HACA stack. This is what decentralized intelligence looks like in crypto.👇🏻

gAI Quant! 🫡

BitQuant Product Update! We’ve shipped key improvements across access and intelligence: • EVM wallet login support added Expanding beyond Solana for broader accessibility • Upgraded to Gemini Flash 2.5 Improved agent autonomy, Better context handling and More precise tool interaction. BitQuant continues to evolve toward more reliable, context-aware quant intelligence.

Would you use an AI signal if you couldn’t verify how it was generated? 👀

👤:Hey BitQuant, what are the current top trending coins on Solana? BitQuant: $BONK $WIF $JUP $PENGU $POPCAT $SLERF $MEW $SOS

New on BitQuant! The Bitcoin Fear & Greed Index is now available on BitQuant, giving you real-time sentiment insights with historical context. Track real-time market sentiment directly inside BitQuant. Try here: bitquant.io

Solana, Ethereum, Base We have all 3 of them 👀 Which chain we should add next?

Evaluate risk before you buy. What did BitQuant evaluate for $PUNCH? 🐒

gAI

Bookmark and read here 👇🏻 nitter.cf/BitQuantAI/status/2023…

8/ Human cognition requires simplification. Models scale across: • Multivariate relationships • Hidden correlations • Dynamic interactions • Variance structures • Probabilistic weighting Without compression.

9/ AI-native market intelligence optimizes for: • Continuous evaluation • Probabilistic interpretation • Structural awareness • State transition detection • Uncertainty processing Not certainty.

7/ Weak signals are inherently: • Regime-dependent • Timeframe-sensitive • Liquidity-constrained • Statistically fragile • Context-variant Static frameworks degrade.

6/ Because markets operate through: • Noise dominance • Weak signal environments • Probabilistic behavior • Structural instability • Nonlinear reactions Not deterministic patterns.

5/ BitQuant models do not “read charts”. They compute statistical and structural relationships between: • Price behavior • Volatility regimes • Volume dynamics • Liquidity transitions • Cross-market interactions

4/ AI-native analysis pipeline: Data → Feature Extraction → Model Inference → Intelligence No interpretive bottleneck.

3/ Traditional analysis pipeline: Data → Visualization → Human Interpretation → Decision Every step introduces cognitive compression.

2/ Markets are not visual systems. They are probabilistic environments defined by: • Uncertainty • Regime shifts • Liquidity constraints • Reflexive behavior • Nonlinear reactions