01
Consistency of research inputs and conclusions
Finance & quant
QuantEnv
Quantitative research tasks for forecasting, ranking and factor analysis.
Benchmark / task domain
QuantEnv
The work
Package quantitative research as explicit prediction and scoring tasks.
Offline A-share tasks cover directional forecasts, sector ranking, leader selection and residual-factor analysis. Task records, submission requirements and metric definitions support model development and comparison.
Delivery can include
- 01
- Quantitative task briefs, Docker environment definitions and JSON / JSONL research data
- 02
- JSON submission schemas and output interface specifications
- 03
- Metric definitions and evaluation tools
- 04
- Harbor-format task packages for directional forecasting
How we evaluate the task
Define how to evaluate the result.
02
Accuracy of calculations
03
Completeness of required outputs
WORK WITH ASTRAFLUX
What should your
model be able to do?
Share the capability, task types and delivery requirements. We’ll discuss the right program and representative tasks.
Contact us norman383@astraflux.spaceBenchmark names indicate reference directions. Task scope and delivery specifications are agreed for each project.