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Build a Preferred Financing Backsolve and Identification Console

Investigate total equity values consistent with a financing price and specified investor rights. Separate primary financing evidence from secondary sales and unsupported valuation shortcuts.

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What you are building

A preferred financing raises 50, but its rights differ from common stock. Build a calibration tool that shows which equity values fit the round under stated assumptions. The starter subtracts a hypothetical rights adjustment of 10 and divides by 40%, giving 100. Expose alternative fits. That shortcut is not a general preferred-stock pricing formula.

Rules

The linear fixture is a toy calibration, not an economically complete preferred-stock pricing formula. No fabricated records, source citations, professional endorsements, or expert-adjudication claims. No future-data leakage into dated decisions, model fitting, or historical valuation inputs. No unauthorized payments, account restrictions, regulatory filings, or production changes. No automated appraisal certification, tax-compliance determination, or unsupported fraud accusation. No concealed uncertainty or silently invented inputs required for a numerical conclusion.

How work is evaluated

Evaluation

100-point weighted review with safety gates. Visible starter cases do not establish full application correctness.

Submission format

A bounded calibration service using the approved allocation engine. A financing evidence memo with a complete parameter and rights history. Runnable local application, setup commands, and a dependency lockfile. Versioned input data, data dictionary, acquisition instructions, and rights notes. Calculation traces, source references, assumption records, and exported review artifacts. A deterministic baseline and tests for normal, incomplete, contradictory, and failure-recovery cases. A recorded complete workflow with a reproducible manifest and explicit limitations.

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

Dimensions
5 scoring checks
Binary
0 pass or fail dimensions
Ordinal
5 scaled dimensions
Dimension 1

Score scale
012
Dimension 2

Score scale
012
Dimension 3

Score scale
012
Dimension 4

Score scale
012
Dimension 5

Score scale
012

Learning goals

  • Determine which transaction terms are supported by evidence.

  • Calibrate a forward allocation model to the observed security price.

  • Test parameter bounds and alternative rights interpretations.

  • Export residuals and an identification limitations report.

Resources

Dataset notes

2 attached datasets, including two visible synthetic starter cases. The fixture ZIP supplies synthetic exercise inputs. It does not supply independently verified real-world records.

Challenge setup

Challenge input

Input details are not configured.

Agent execution

No agent tool is listed for this challenge.

Evaluated output

No output checks are configured.

Evaluation checks
  • Rubric dimension 1
  • Rubric dimension 2
  • Rubric dimension 3
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • No runtime settings are configured.

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

No tool records are attached.

Evaluation contract

  • Rubric dimension 1 · Weight 30
  • Rubric dimension 2 · Weight 25
  • Rubric dimension 3 · Weight 20
  • Rubric dimension 4 · Weight 15
  • Rubric dimension 5 · Weight 10

Reference cases

  • 2 public reference cases

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Preferred Financing Backsolve and Identification Console