Kiyosi

Kiyosi is a modern C++23 derivatives-pricing library with Python bindings, offering consistent APIs for vanilla, exotic, and structured products.

Features

Vanilla, digital, Asian, barrier, accumulator, snowball, and phoenix instruments
Analytic, tree-based, finite-difference, integral, and Monte Carlo pricing engines
Prices and Greeks through a consistent result type
Numerical analytics, implied volatility, and implied coupon solvers
Trading calendars and observation schedule builders, including SSE holidays
A native C++ core exposed through a Python-first API

Quick start with Python

Kiyosi requires Python 3.11 or newer:

python -m pip install kiyosi

PyPI provides prebuilt x64 wheels for Windows and Linux. On other platforms, installation builds from source and requires CMake 3.28 or newer, Ninja, and a C++23 compiler.

Price a European call with the analytic Black-Scholes engine:

from datetime import date

from kiyosi.instruments import EuropeanOption, OptionType
from kiyosi.market import BsmParameters, PricingContext
from kiyosi.pricing import AnalyticVanillaEngine

valuation = date(2025, 1, 1)
option = EuropeanOption(
    type=OptionType.CALL,
    strike=100.0,
    effective=valuation,
    expiry=date(2026, 1, 1),
)
context = PricingContext(
    parameters=BsmParameters(
        risk_free_rate=0.05,
        dividend_yield=0.02,
        volatility=0.20,
    ),
    asset_price=100.0,
    valuation_time=valuation,
)

result = AnalyticVanillaEngine().price(option, context)
print(result.price)

The Python API is organized into three modules:

Module	Contents
`kiyosi.instruments`	Derivative instruments and structured-product presets
`kiyosi.market`	Model parameters, valuation contexts, calendars, and schedules
`kiyosi.pricing`	Pricing engines, analytics, scenarios, and implied-value solvers

Pricing coverage

Instrument family	Available engines
European vanilla	Analytic, CRR binomial, finite difference, integral, Monte Carlo
American vanilla	Bjerksund-Stensland, CRR binomial, finite difference, Monte Carlo
Cash-or-nothing and asset-or-nothing digital	Analytic, finite difference, integral
Barrier	Analytic, finite difference
Binary barrier and touch	Analytic
Geometric-average Asian	Closed form
Arithmetic-average Asian	Turnbull-Wakeman approximation
Accumulator	Finite difference, Monte Carlo
Phoenix and snowball variants	Finite difference, Monte Carlo

Model scope

The current pricing models use a Black-Scholes-Merton market context with spot and flat risk-free rate, dividend yield, and volatility parameters. Volatility surfaces and rate curves are not part of the current API.

Validation

Kiyosi's pricing tests compare results with reference values generated independently of Kiyosi using QuantLib. QuantLib is used only by the test-fixture tooling and is not a runtime dependency.

C++ library

Building the C++ core requires CMake 3.28 or newer, Ninja, and a C++23 compiler. On Linux, configure, build, test, and install with:

cmake --preset linux-release
cmake --build --preset linux-release
ctest --preset linux-release
cmake --install out/build/linux-release

On Windows, run the commands from a Visual Studio Developer PowerShell and replace linux-release with windows-release.

After installation, consume the exported CMake target:

find_package(kiyosi CONFIG REQUIRED)
target_link_libraries(my_app PRIVATE kiyosi::kiyosi)

Include the umbrella header with #include <kiyosi/kiyosi.hpp>. See examples/all_pricing_engines.cpp for a broader example covering the available instrument and engine families.

License

Kiyosi is available under the MIT License.

Development Status
- 3 - Alpha
Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Programming Language

Release files for kiyosi 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for kiyosi 0.3.0
File	Size	Uploaded
kiyosi-0.3.0.tar.gz	4.0 MB	Sep 18, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for kiyosi 0.3.0
File	Interpreter	ABI	Platform	Reset
kiyosi-0.3.0-cp314-cp314-win_amd64.whl 557.8 kB Sep 18, 2026	CPython 3.14	CPython 3.14	Windows x86-64	Details
kiyosi-0.3.0-cp314-cp314-win32.whl 511.7 kB Sep 18, 2026	CPython 3.14	CPython 3.14	Windows x86-32	Details
kiyosi-0.3.0-cp314-cp314-musllinux_1_2_x86_64.whl 521.5 kB Sep 18, 2026	CPython 3.14	CPython 3.14	Linux musl 1.2+ x86-64	Details
kiyosi-0.3.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 423.2 kB Sep 18, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
kiyosi-0.3.0-cp313-cp313-win_amd64.whl 541.4 kB Sep 18, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
kiyosi-0.3.0-cp313-cp313-win32.whl 497.9 kB Sep 18, 2026	CPython 3.13	CPython 3.13	Windows x86-32	Details
kiyosi-0.3.0-cp313-cp313-musllinux_1_2_x86_64.whl 521.1 kB Sep 18, 2026	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
kiyosi-0.3.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 422.9 kB Sep 18, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
kiyosi-0.3.0-cp312-cp312-win_amd64.whl 541.5 kB Sep 18, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
kiyosi-0.3.0-cp312-cp312-win32.whl 497.8 kB Sep 18, 2026	CPython 3.12	CPython 3.12	Windows x86-32	Details
kiyosi-0.3.0-cp312-cp312-musllinux_1_2_x86_64.whl 521.3 kB Sep 18, 2026	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
kiyosi-0.3.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 423.0 kB Sep 18, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
kiyosi-0.3.0-cp311-cp311-win_amd64.whl 540.7 kB Sep 18, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
kiyosi-0.3.0-cp311-cp311-win32.whl 494.9 kB Sep 18, 2026	CPython 3.11	CPython 3.11	Windows x86-32	Details
kiyosi-0.3.0-cp311-cp311-musllinux_1_2_x86_64.whl 521.4 kB Sep 18, 2026	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-64	Details
kiyosi-0.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 423.8 kB Sep 18, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details

Total release size: 12.0 MB

Release files / kiyosi-0.3.0.tar.gz

Download URL	kiyosi-0.3.0.tar.gz
Size	4.0 MB
Tags	Source
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Tags	CPython 3.14 Windows x86-64
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Release files / kiyosi-0.3.0-cp314-cp314-musllinux_1_2_x86_64.whl

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Release files / kiyosi-0.3.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

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Release files / kiyosi-0.3.0-cp313-cp313-win_amd64.whl

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Release files / kiyosi-0.3.0-cp313-cp313-win32.whl

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Release files / kiyosi-0.3.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

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Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/lilkui/kiyosi
Publishing commit: github.com/lilkui/kiyosi/tree/680ea51df5ff6644a8fed47d82d59ac1eaa372d5

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Subject: kiyosi-0.3.0-cp312-cp312-musllinux_1_2_x86_64.whl
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Release files / kiyosi-0.3.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	kiyosi-0.3.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	423.0 kB
Tags	CPython 3.12 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/lilkui/kiyosi
Publishing commit: github.com/lilkui/kiyosi/tree/680ea51df5ff6644a8fed47d82d59ac1eaa372d5

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Publishing configuration: github.com/lilkui/kiyosi/blob/680ea51df5ff6644a8fed47d82d59ac1eaa372d5/.github/workflows/publish.yml
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Subject: kiyosi-0.3.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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Release files / kiyosi-0.3.0-cp311-cp311-win_amd64.whl

Download URL	kiyosi-0.3.0-cp311-cp311-win_amd64.whl
Size	540.7 kB
Tags	CPython 3.11 Windows x86-64
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Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/lilkui/kiyosi
Publishing commit: github.com/lilkui/kiyosi/tree/680ea51df5ff6644a8fed47d82d59ac1eaa372d5

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Subject: kiyosi-0.3.0-cp311-cp311-win_amd64.whl
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Release files / kiyosi-0.3.0-cp311-cp311-win32.whl

Download URL	kiyosi-0.3.0-cp311-cp311-win32.whl
Size	494.9 kB
Tags	CPython 3.11 Windows x86-32
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Upload date	Sep 18, 2026
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Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/lilkui/kiyosi
Publishing commit: github.com/lilkui/kiyosi/tree/680ea51df5ff6644a8fed47d82d59ac1eaa372d5

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Publishing configuration: github.com/lilkui/kiyosi/blob/680ea51df5ff6644a8fed47d82d59ac1eaa372d5/.github/workflows/publish.yml
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Subject: kiyosi-0.3.0-cp311-cp311-win32.whl
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Release files / kiyosi-0.3.0-cp311-cp311-musllinux_1_2_x86_64.whl

Download URL	kiyosi-0.3.0-cp311-cp311-musllinux_1_2_x86_64.whl
Size	521.4 kB
Tags	CPython 3.11 Linux musl 1.2+ x86-64
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/lilkui/kiyosi
Publishing commit: github.com/lilkui/kiyosi/tree/680ea51df5ff6644a8fed47d82d59ac1eaa372d5

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Publishing configuration: github.com/lilkui/kiyosi/blob/680ea51df5ff6644a8fed47d82d59ac1eaa372d5/.github/workflows/publish.yml
Publishing logs: github.com/lilkui/kiyosi/actions/runs/35359984456/attempts/1

Artifact

Subject: kiyosi-0.3.0-cp311-cp311-musllinux_1_2_x86_64.whl
SHA-256 checksum: 482b7fd7295af2e8a4861012a1e833aca64b76f44de78702436d51b67c834305 Verifying attestations

Release files / kiyosi-0.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	kiyosi-0.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	423.8 kB
Tags	CPython 3.11 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/lilkui/kiyosi
Publishing commit: github.com/lilkui/kiyosi/tree/680ea51df5ff6644a8fed47d82d59ac1eaa372d5

Workflow

Publishing configuration: github.com/lilkui/kiyosi/blob/680ea51df5ff6644a8fed47d82d59ac1eaa372d5/.github/workflows/publish.yml
Publishing logs: github.com/lilkui/kiyosi/actions/runs/35359984456/attempts/1

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Subject: kiyosi-0.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: a0951fffecdec18ee1a5bc06354e132ce40368d539bf4548db90022e760c159c Verifying attestations

Release history Release notifications | RSS feed

0.6.0

Sep 26, 2026 9 release files

0.5.0

Sep 21, 2026 9 release files

0.4.0

Sep 19, 2026 9 release files

This release

0.3.0 This release

Sep 18, 2026 17 release files

0.2.0

Sep 17, 2026 5 release files

0.1.0

Sep 12, 2026 2 release files

kiyosi 0.3.0

Kiyosi

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Quick start with Python

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1 maintainer

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Release files for kiyosi 0.3.0

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Release files / kiyosi-0.3.0.tar.gz

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