Which model actually knows how to trade?
Benchmarks score language models on quiz questions. London5 Research scores them on the only test that matters here: running a trading desk. Open-source and closed-source LLMs are put through the same simulations by London5 nodes across the Londron network — and classified on trading-strategy intelligence.
Same desk. Same rules. Every model.
A standardized desk
Every model trades through the same London5 engine — identical instruments, data windows, fee schedules, and risk limits. No cherry-picked backtests, no bespoke prompting per model.
Nodes run the simulations
London5 nodes across the Londron network execute the simulation workload — open-source models running locally on node hardware, closed-source models through their APIs — and publish the results to the network.
Strategy intelligence, scored
Each run is graded into a trading-strategy-intelligence profile: risk discipline, conviction quality, consistency across market regimes, and cost per decision — not a single vanity number.
Open and closed, side by side
Open-weight and proprietary models land on the same board, under the same rules. The question we're answering: what does a local model really give up against a frontier API — if anything?
One board. No excuses.
Measured behaviour, not vibes
For open source
For your node
Put your node on the board
Join the Pioneer Alpha to run a London5 node — and follow the research as it happens.
First classification report publishes on the Londron network