Deep Dive
1. FigmentTrade Launch (17 August 2025)
Overview: ACT Labs introduced FigmentTrade, a Solana-based platform where AI agents execute trades autonomously, reducing human intervention.
The platform leverages Solana’s sub-second finality and <$0.01 transaction fees to enable high-frequency AI trading. Agents process real-time market data, social sentiment, and on-chain metrics to optimize strategies.
What this means: This is bullish for ACT because it expands utility beyond speculative trading into practical AI-driven finance. Users gain exposure to algorithmic efficiency while ACT accrues value from platform fees. (Source)
2. Dynamic AI Testing (13 August 2025)
Overview: The team deprecated traditional backtesting, arguing AI agents require forward-testing in live markets to adapt to volatility.
Code updates prioritize real-time simulations using historical and synthetic data, allowing agents to “learn” from hypothetical scenarios (e.g., flash crashes, liquidity shocks).
What this means: Neutral for ACT—while innovative, this approach carries higher risk if AI models misinterpret live data. However, it could differentiate ACT’s AI adaptability versus competitors. (Source)
3. Collaborative AI Network (2025)
Overview: Codebase upgrades enable AI agents to pool computational resources and share insights across decentralized nodes.
The protocol uses a proof-of-collaboration mechanism, rewarding agents with ACT tokens for contributing data or processing power. This targets use cases like research simulations and DeFi arbitrage.
What this means: Bullish for ACT because network effects could drive demand as more agents join. However, scalability on Solana during peak loads remains untested. (Source)
Conclusion
ACT’s codebase is pivoting toward autonomous, collaborative AI systems with real-world trading utility. While technical ambition is clear, adoption hinges on proving reliability during market stress. Will ACT’s AI agents outperform human traders in 2026’s volatile markets?