About dTaoAnalytics
Our Mission
With up to 128 subnets competing for attention, how do you know which ones are worth your time? dTaoAnalytics answers five questions: Is the network healthy? Can I trade safely? What's the signal? How should I allocate? And what risks should I watch?
What We Offer
- 📊Investment Decision Framework — A structured approach: regime check, tradability filter, momentum signals, allocation guidance.
- 🔍Subnet Analytics — Real-time metrics for all subnets including price, liquidity, emissions, and sustainability indicators.
- ⚠️Risk Monitoring — Forward-looking alerts for liquidity stress, concentration, and emission changes.
- 📐Model Portfolios — Backtested allocation strategies with live tracking and transparent methodology.
Data Provenance
We run our own Subtensor archive node. All data—pool state, emissions, metagraph snapshots—is fetched directly from the Bittensor blockchain with block-level timestamps. No third-party dependencies for live data.
Why Bittensor?
“Years ago, I worked on a machine learning algorithm to classify radio signal patterns. It was hard work that large operators could do better—they had more data. I imagined a platform where companies could define ML challenges, and engineers worldwide would compete to solve them.
When I discovered Bittensor, it clicked. This was that idea—but decentralized, permissionless, and self-optimizing. You can start a subnet, define a task, set the incentives, and let the best minds compete. It can be AI inference, deepfake detection, GPU sharing, or even theoretical physics.”
— Glenn Landgren, Co-founder