digiquant
// the pipeline

Research in, orders out — in a straight line.

DigiQuant is not a hub of services routing messages around; it’s a linear research workflow. You start in a chat, and each stage hands its output to the next until a strategy is ready to run. Built on the open DigiQuant stack — itself a module of the DigiThings platform.

  1. 01

    Research

    Ask in plain language. An LLM research loop pulls free macro and market data and proposes directions to test.

    chat · LLM
  2. 02

    Indicators

    Compose validated indicators — moving averages, RSI, ADF, DPSD — from the shared, unit-tested library.

    indicators lib
  3. 03

    Strategy

    Wire indicators into a rules-based strategy with explicit entries, exits, sizing, and risk.

    strategy spec
  4. 04

    Signals

    Generate entry and exit signals across historical bars — deterministic and reproducible.

    signal gen
  5. 05

    Optimize

    Search the parameter space with Optuna; walk-forward windows guard against overfitting.

    Optuna
  6. 06

    Backtest

    Replay on a NautilusTrader core — Pine-faithful fills, full trade ledger, and a tearsheet.

    NautilusTrader
  7. 07

    Execution

    Promote up the ladder: backtest → paper → loopback → live. Every rung is a human gate.

    Kairos · gated
// execution, gated

The execution layer climbs a ladder.

Stage 07 in detail: a strategy earns its way to live. Backtest → paper → loopback → live, each rung a human gate. Loopback-only by default.

BACKTESTPAPERLOOPBACKLIVE · GATED

// loopback-only by default · human-gated transitions