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fincore_cpp
v0.1.0
Start here
Installation
Requirements
Build from a checkout
Build options
Install and consume
Verify the install
Platform notes
Documentation build
Quickstart
Build a return series and read a few numbers
Prepare a factor panel
Render a report
Handle failures where they happen
Next steps
Tutorial: a monthly performance report from prices
Set up
Step 1 — Turn prices into returns
Step 2 — Headline statistics
Step 3 — A rolling view
Step 4 — A monthly table
Step 5 — Compare with a benchmark
Step 6 — Build and render the report
What you built
Where to go next
Data and numerical conventions
Frames and time
Returns, units and annualization
Missing values and alignment
Ownership and lifetime
Determinism and digests
Errors
Reports and files
Frequencies and labels
Architecture and design choices
Layers
Ownership
Determinism
Errors and degenerate results
Concurrency
Extension points
What is deliberately not here
How the documentation mirrors this
Guides
Metrics and rolling windows
Inputs and units
Annualization
Return and ratio family
Drawdown family
Distribution and stability statistics
Rolling windows and tables
Worked example
Choosing a metric
Portfolio, risk, optimization and simulation
Portfolio inputs own their data
Positions, transactions and capacity
Risk estimates
Backtesting what you estimated
Walk-forward validation
Optimization
Simulation
Failure model summary
Factor research: from rows to tables
The input panel
Analysis configuration
What the model contains
Tears and artifacts
Point-in-time joins
Exports and comparison
A minimal study
Reports, runtime and extensions
One document, many backends
Artifact bundles
Escaping and non-finite values
Runtime catalog
Sessions and caching
Extensions
A minimal report
Cookbook
Rolling metrics for one series
The deepest drawdowns as a table
VaR plus a coverage verdict
GARCH VaR over a multi-day horizon
Quantile means from a factor panel
A point-in-time panel from revisions
A reproducible simulation
Add a table to a report and export it
Examples and demos
Render a factor report
Render one document through every backend
An interactive ImPlot dashboard
Benchmarks
Where the code lives
Reference
API reference
Modules
Core types and errors
Metrics
Performance
Risk
Optimization
Portfolio
Attribution
Factor research
Simulation
Reports
Runtime
Visualization
Extensions
How to read a reference page
Conventions used by every module
Coverage
Migrating from Python fincore
Mapping table
Porting checklist
Known differences that bite
What parity means here
Performance method and limits
How the harness measures
What the numbers mean
Reproducing a measurement
Limits and honest gaps
Troubleshooting
Configure or build fails
Runtime errors
Numbers that surprise you
Documentation build fails
Publication problems
Reporting a problem
Contributing to code and documentation
Before you start
Code changes
Comment standard
Documentation changes
Commits and pull requests
Review and evidence
Publication and platform status
GitHub Pages — live
Read the Docs — live, one project
Rule
Versions and release notes
What version you are reading
Current status
Change log for this cycle
How the next release will be cut
Glossary
Maintainer notes
Comment rounds
API pages
Translation
Generated artifacts
Language
English
简体中文
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