Recent
- Research noteBT-2026-0226
A ranking loss and a profit threshold
A convolutional model scores 0.6316 on area under the curve for a seven-day Bitcoin move — and the paper is more interesting for how it is judged.
2 minSource: arXiv
- Research noteBT-2026-0225
When going first is worth something
Three authors work out when a constant-function market maker is at rest, and when the order of two traders decides who gets the better fill.
2 minSource: arXiv
- Research noteBT-2026-0224
When to move the range, and what it costs
Five authors model concentrated liquidity provision as impulse control and learn the rebalancing policy, reporting a compressed lower tail rather than a higher mean.
2 minSource: arXiv
- Research noteBT-2026-0223
Quoting at several levels at once
A reinforcement learning market maker places orders across the book rather than at the touch, and is tested against three kinds of counterparty.
2 minSource: arXiv
- Research noteBT-2026-0222
An agent that reads the chain and the news
CryptoTrade pairs on-chain metrics with off-chain signals and reflects on its own past trades before deciding the next one.
2 minSource: arXiv
- Research noteBT-2026-0221
Two in a thousand graduate, eight times more with a channel
A survival analysis of 832,941 token launches puts a number on something the market treats as folklore.
2 minSource: arXiv
- Research noteBT-2026-0220
Generating order books in ten solver steps
A flow-matching model produces limit order book trajectories at a fraction of the sampling cost of diffusion, and transfers to instruments it never saw.
2 minSource: arXiv
- BenchmarkBT-2026-0219
Language models are poor traders and useful analysts
Given execution authority they underperform. Given a research task they save hours. The distinction is not subtle.
SpansAISECFIN
10 min
- AnalysisBT-2026-0212
The ordering supply chain professionalised
Extraction moved from opportunistic scripts to an industry with tiers and contracts.
SpansAISECFIN
7 min
- Research noteBT-2026-0205
Backtests on model-driven strategies leak more than usual
The model was trained on the period you are testing. That is not a detail.
SpansAISECFIN
6 min
- Field reportBT-2026-0198
Latency arbitrage moved to inference time
When two desks run similar models, the edge is who answers first.
SpansAISECFIN
8 min