Pure-function trading analytics for Elixir — discoverable APIs, no processes, no I/O.

Start Here: Self-Describing API

ZenQuant describes itself. Before using exports() or h(), try:

ZenQuant.describe()                          # All modules with purpose
ZenQuant.describe(:funding)                  # Functions in Funding module
ZenQuant.describe(:funding, :annualize)      # Full detail: params, returns, errors

Short names: ZenQuant.PowerLaw → :power_law, ZenQuant.Options.Deribit → :deribit.

Machine-Readable Access

For runtime agents and non-interactive consumers:

ZenQuant.Funding.__api__()                   # All hints for one module
ZenQuant.Funding.__api__(:annualize)          # Hints for one function
ZenQuant.Manifest.build()                    # Full API manifest as map

Static export: mix zen_quant.manifest → api_manifest.json

Overview

Black-Scholes pricing and implied volatility, options chain analytics, funding rates, basis, risk metrics, volatility estimators, position sizing, portfolio analytics, orderflow, and execution primitives.

Every function is pure: it takes plain maps and numbers, returns plain maps and tuples, and never performs I/O. The library starts no supervision tree. Exchange payloads (Bourse structs are maps) work as-is, but nothing here depends on an exchange client.

The only runtime dependency is Descripex, which powers the discovery surface above.