
Revenue Search: Inside Bittensor Subnet Session with Tommi from MVTRX: Subnet 79
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Mar 5, 2026 Tommi (Tommy) — founder of MVTRX/Subnet 79, a quantitative researcher building a high-performance exchange and sandbox for Bittensor alpha tokens. He discusses building low-latency C++/Rust simulations and an exchange to improve liquidity and reduce slippage. Multiple parallel limit-order-book simulations, dynamic fee/rebate incentives, and revenue from exchange fees plus sales of high-fidelity simulated data are highlighted.
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Exchange Paired With Parallel Sandbox Testing
- MVTRX is building a specialized exchange for Bittensor alpha tokens paired with a high-fidelity sandbox simulator for testing trading algorithms.
- The simulator runs dozens of parallel realistic limit-order-book paths so miners can stress-test algorithms before live deployment.
Eighty Parallel Market Realizations
- The sandbox runs many simultaneous simulations (about 80) to provide multiple realistic market realizations instead of a single historical path.
- That multiplicity helps identify signals like crash precursors and tests algorithm robustness across varied limit-order-book states.
Train Crash Detectors With Repeat Simulations
- Use repeated simulated crash scenarios to train AI models to detect black swan precursors before risking live capital.
- Repeating infrequent flash-crash events across simulations produces reliable predictive signals unavailable from one historical path.
