LEAN Enterprise delivers significant, repeatable performance gains over non-enterprise deployments across multiple data resolutions and workloads. The benchmarks below use identical strategies and datasets, highlighting improvements in throughput, execution time, and scalability.
Python Basic Template | Minute Resolution (Since 2000) | 12,517,022 Data Points
LEAN ENTERPRISE
Runtime: 17.60 s | 711k pts/sec
LEAN (Non Enterprise)
Runtime: 27.71 s | 452k pts/sec
Python Basic Template | Second Resolution (Since 2000) | 748,304,563
LEAN ENTERPRISE
Runtime: 717.74 s | 839k pts/sec
LEAN (Non Enterprise)
Runtime: 1587.26 s | 471k pts/sec
Indicator Computation Benchmark | 4,246,452 Data Points
LEAN ENTERPRISE
Runtime: 37.54 s | 113k pts/sec
LEAN (Non Enterprise)
Runtime: 59.46 s | 60k pts/sec
See how LEAN ENTERPRISE performs on your workloads.
Performance improvements aren’t just technical metrics — they translate directly into better research outcomes and operational confidence.
LEAN Enterprise doesn’t change how you write strategies, it changes how fast you can iterate.
Run significantly more backtests in the same amount of time, enabling rapid strategy iteration and faster validation cycles.
Process larger universes and longer historical datasets without performance bottlenecks or resource constraints.
Operate reliably at minute, second, and tick resolutions as data volume and strategy complexity increase.
Leverage enterprise-grade performance using the same LEAN API — no strategy rewrites, no workflow disruption.
See how LEAN ENTERPRISE performs on your workloads.