xFractal
@xFractalDotFun
powering alpha extraction on Solana ▓░░░░░░░ 55‱ in closed beta
1‱ is just the surface you’ll think it’s magic. it’s just math coming soon on @Solana

we’re aiming to build the coolest product out there and let all traders carry on the most efficient alpha extraction known to date. shipping fast and breaking things is part of the beta. we’ll start whitelisting participants soon, so let there be more building.
Oblivia 1.0 made 1,806 token predictions in May. to validate its accuracy, we joined forces with @SaharaLabsAI & their decentralized group of workers to independently label and assess the results. results: + // overall precision: 87.71% + // price increases (1) : 96.49% + //…

initial testing with a small group of alpha users is nearing completion. final backend refinements are being worked on to improve UX, reliability & performance before the show begins. ▓▓▓░░░░░ 35‱
2025.07.01 bi-weekly update here’s what we’ve built, shipped, and trained this past week: TRADING CAPABILITIES + agent-based txn execution engine now supports @MeteoraAG (DBC, DLMM, DYN, DAMM), @RaydiumProtocol (CLMM, AMM, CPMM), and @orca_so (CLLM, VP, CPMM). we're now…
just wanted to share with everyone that i've started advising @xFractalDotFun i think they're building something extremely cool with an emphasis on deep research behind every feature right now they have an 87% directional accuracy real time LSTM model for price prediction,…
oblivia, our price prediction model, hits 87% directional accuracy across @solana tokens. & we're jointly building the SOL/USDT prediction stack with @AlloraNetwork, combining our hype score with their confidence-aware forecasting. time to lock in.
Markets move fast—but the crowd moves first. By integrating Allora’s SOL prediction feed into its Trading Terminal alongside sentiment-driven inferences, @xFractalDotFun gives users insights that reduce uncertainty in volatile conditions. The result? A clearer sense of where…
alpha extraction, streamlined. research. analyze. execute. now in beta.
we're bringing our agents into the @Rivalz_AI ecosystem. through the alliance, we’re integrating with ROME (Rivalz's swarm protocol) for our agents to be their own inference providers across the network. soon, other projects will be able to plug into our agents directly.

most trenchers don’t want agents trading for them they want agents doing the grunt work: token DD, price predictions, market research, alpha extraction, in-depth trading intel then they want to click the damn "buy or "sell" button themselves that’s how it should be